Genetic Risk Scores from Multiple Single Nucleotide Polymorphisms Reveal Genetic Susceptibility and Recurrence Risk of Calcium Nephrolithiasis

Genetic Risk Scores from Multiple Single Nucleotide Polymorphisms Reveal Genetic Susceptibility and Recurrence Risk of Calcium Nephrolithiasis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Genetic Risk Scores from Multiple Single Nucleotide Polymorphisms Reveal Genetic Susceptibility and Recurrence Risk of Calcium Nephrolithiasis Lujia Wang, Zijian Zhou, Peng Gao, Zeyu Lin, Xiaoling Lin, Zhong Wu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6305755/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background : We aimed to evaluate susceptibility loci for nephrolithiasis in the Chinese Han population and assess validated loci’s contributions to genetic risk scores in predicting the incidence and recurrence risk of calcium nephrolithiasis. Methods : The association of each single nucleotide polymorphism (SNP) with incidence and recurrence of calcium nephrolithiasis was analyzed. We genotyped 54 SNPs in 1,157 patients with calcium nephrolithiasis between April 2011 and September 2021 at Huashan Hospital of Fudan University. Genetic scores were computed for each individual by incorporating odds ratios (ORs) and allele frequencies of SNPs associated with increased risk. Results : Nine loci were associated with the risk of calcium nephrolithiasis. Among them, rs17216707 at CYP24A1 (P=1.521×10^-4, OR=4.208), rs3760702 at GIPC1 (P=7.70×10^-5, OR=1.654), and rs755622 at MIF-AS (P=5.67×10^-5, OR=0.605) were significantly associated after Bonferroni correction. GRS1 was calculated based on 35 SNPs from GWAS, and GRS2 was based on 9 associated SNPs. The AUC of GRS1 (0.557, 95%CI: 0.523–0.591) and GRS2 (0.590, 95%CI: 0.557–0.624) were similar. Neither GRS1 nor GRS2 showed discrimination ability for recurrence risk. Significant associations of rs7057398 (OR=1.971, P=0.03681) and rs7652589 (P=0.6715, OR=0.03872) with recurrence risk were observed. GRS3 had an AUC of 0.552 (95%CI: 0.506 to 0.598), improved to 0.574 when combined with a clinical model. Conclusions : GRS based on significant SNPs could predict incidence risk but not recurrence of calcium nephrolithiasis. The weight GRS from two recurrence-associated SNPs significantly correlated with recurrence risk and could enhance predictive value for traditional clinical risk factors. calcium nephrolithiasis recurrence single nucleotide polymorphism Chinese Han population genetic risk score Figures Figure 1 Figure 2 Figure 3 Figure 4 INTRODUCTION Nephrolithiasis, affecting 5–10% of individuals during their lifetime, poses significant healthcare and economic challenges[ 20 ]. The majority of kidney stones are composed of calcium (70–85%), predominantly in the form of either oxalate or phosphate[ 2 ]. The etiology of nephrolithiasis is multifactorial, including age, gender, race, geography, climate, dietary and genetic factors, etc.[ 19 ] However, these variables do not completely account for the condition's high heritability, as individuals without identifiable clinical risk factors can still develop kidney stones. Recent studies indicate that about 65% of individuals with kidney stones have a family history of nephrolithiasis[ 3 ], and a twin study has reported a heritability of urolithiasis to be 56%[ 6 ], suggesting a pivotal role for host genetic factors. Genome-wide association studies (GWAS) across diverse populations have identified several single nucleotide polymorphisms (SNPs) associated with an increased risk of kidney stone formation. This condition tends to recur, with approximately 50% of affected individuals experiencing another episode within a decade. Furthermore, repeated occurrences of kidney stones have been correlated with a gradual deterioration in renal function[ 18 ]. While certain clinical characteristics have been linked to the recurrence of calcium nephrolithiasis[ 5 , 30 ], evidence supporting the predictive value of significant SNPs for recurrence risk remains limited. The aim of the present study was to assess the identified susceptibility loci for nephrolithiasis within the Chinese Han population and to investigate whether any validated loci contribute to a genetic risk score that can predict both the incidence and recurrence of calcium nephrolithiasis in this demographic. MATERIAL AND METHODS Study participants In the training cohort, we retrospectively enrolled 610 unrelated Chinese Han patients diagnosed with calcium nephrolithiasis (427 males and 183 females, mean aged 51.2±13.8 years) at Huashan Hospital of Fudan University from April 2011 to September 2015. Among the nephrolithiasis cases were 390 recurrent kidney stone formers. For the testing cohort, we prospectively recruited 547 patients with calcium nephrolithiasis (359 males and 188 females, mean aged 54.1±13.6 years) who underwent surgical stone removal at Huashan Hospital between October 2015 and September 2021. Patients with radiolucent stones, including struvite, uric acid, and cystine stones, were excluded, as were individuals whose nephrolithiasis was secondary to known underlying conditions such as urinary tract malformations, gout, renal insufficiency, hyperparathyroidism, osteoporosis, chronic diarrhea, or malignancies. The control group consisted of 1,008 individuals, matched by age and gender, with no prior history of urolithiasis or a familial predisposition. The diagnosis of calcium nephrolithiasis was confirmed clinically through plain radiography of the kidney-ureter-bladder (KUB) or non-contrast computed tomography (NCCT) scans. All participants, both patients with nephrolithiasis and control subjects, had similar racial, ethnic, geographical, and environmental backgrounds. In addition to the above criteria, those patients need to meet the following criteria: ( i ) have received stone removal surgery with postoperative CT scans confirming a completely stone-free status; ( ii ) have complete clinical data and at least three years of follow-up information. All participants provided informed consent and agreed to participate in the study, which was conducted under a protocol approved by the Huashan Institutional Review Board of Fudan University (HIRB). Demographic and clinical data Postoperative stone-free status was evaluated by a NCCT scan approximately 3 months after surgery. The patients were followed for at least 3 years. The standard follow-up was updated every 6 months through outpatient visiting or direct phone calling. Recurrence was confirmed on the basis of renal ultrasound, KUB and NCCT scans. SNP selection and genotyping Potential functional SNPs were identified based on previously published GWAS and their corresponding functional effects, including known modifications in transcription, translation, protein activity, or hypothetical alterations due to amino acid substitutions. Ultimately, we identified 57 SNPs within 41 genes associated with nephrolithiasis, as documented in the literature [4, 9-11, 14, 24, 25, 29, 35-37] ( Supplementary Table 1 ). Genotyping was conducted using the Illumina Asian Screening Array (ASA) BeadChip platform, which covers approximately 660,000 variants throughout the genome. Imputation was carried out with the IMPUTE software, utilizing the 1000 Genomes Project Han Chinese in Beijing (CHB) population as the reference, ensuring an imputation information score greater than 0.90. A standard quality control process was implemented to select SNPs for further analysis. SNPs were excluded based on the following criteria: ( i ) genotype call rate < 90%; ( ii ) minor allele frequency (MAF) < 0.01; or ( iii ) P value < 0.001 for the Hardy–Weinberg equilibrium (HWE) test. Ultimately, we successfully identified 54 SNPs within 37 genes relevant to kidney stone formation, based on a literature review. Assessment of genetic risk A population-standardized genetic risk score (GRS) was calculated using the odds ratios (ORs) for each allele derived from external studies, alongside allele frequencies from the East Asian (EAS) population as provided by the 1000 Genomes Project. Specifically, the GRS was determined by multiplying the per-allele OR for each single nucleotide polymorphism (SNP) and subsequently normalizing the resultant risk relative to the mean population risk ( W ). where, g i stands for the genotype of SNP i in an individual (0, 1 or 2 risk alleles), OR i stands for the allelic OR of SNP i , and f i stands for the risk allele frequency of SNP i . OR and allele frequency of each SNP were obtained from the largest published studies. We also calculated a weighted genetic risk score (wGRS) for each subject based on their genotypes at significant SNPs and weighted by ORs for recurrence risks obtained from the present study. Statistical methods Quantitative data were expressed as mean ± standard deviation (SD). Independent t-tests were employed to analyze continuous variables, while categorical variables were evaluated using the Chi-square test. The associations between SNPs and calcium nephrolithiasis were examined through the Cochran-Armitage trend test. Results were expressed as odds ratio (OR) and 95% confidence intervals (CI). Statistical significance was defined as a P value less than 9.26×10⁻⁴ (0.05/54), with P values below 0.05 also considered noteworthy. A logistic regression analysis was performed to identify factors that predict the recurrence of the disease. To assess the additive genetic effect of the minor allele, allele coding was as follows: 0 for the common allele (reference), 1 for the heterozygous genotype, and 2 for the homozygous genotype of the minor allele. The performance of the genetic risk score (GRS) in differentiating between the two subject groups was evaluated using the area under the receiver operating characteristic curve (AUC). The statistical significance of the difference between the two AUCs was assessed using Delong's test. RESULTS Table 1 shows the general characteristics of the case and control samples. The calcium nephrolithiasis cases were more likely to have higher body mass index (BMI), and higher levels of serum calcium and serum uric acid. The genotype frequencies of 54 SNPs in both case and control groups conformed to the Hardy-Weinberg equilibrium. The minor allele frequency for these SNPs ranged from 0.0082 to 0.5071. Firstly, we first examined the associations between the individual genetic variant and the risk of calcium nephrolithiasis. Nine loci, including rs13006480 at MRPL33 (P=6.189×10 -3 , OR=1.321), rs7652589 at CASR (P=2.663×10 -2 , OR=0.8216), rs578595 at WDR72 (P=3.391×10 -3 , OR=0.6932), rs77924615 at UMOD (P=4.165×10 -2 , OR=1.256), rs1010269 at BCAS3 (P=5.148×10 -3 , OR=0.7728), rs3760702 at GIPC1 (P=7.70×10 -5 , OR=1.654), rs17216707 at CYP24A1 (P=1.521×10 -4 , OR=4.208), rs12626330 at CLDN14 (P=3.245×10 -2 , OR=1.208), and rs755622 at MIF-AS (P=5.67×10 -5 , OR=0.605), showed significant associations with calcium nephrolithiasis ( Table 2 ). The direction of these associations was consistent with previous GWAS results. Two genetic risk scores were established. Genetic risk score 1 (GRS1) was calculated based on the external ORs of all 35 SNPs from GWAS ( Supplementary Table 1 ). Genetic risk score 2 (GRS2) was based on ORs in this case-control study of 9 SNPs, which are significantly associated with nephrolithiasis risk. The mean GRS1 was significantly higher in the calcium nephrolithiasis group compared to the control group (1.49 in nephrolithiasis vs. 1.35 in control, P = 0.002). When participants were categorized according to quartiles of genetic score, the likelihood of calcium nephrolithiasis among individuals in the first, second, third, and fourth quartiles of GRS1 was 50.18%, 50.72%, 57.19%, and 61.15%, respectively (P-trend = 0.024, Figure 1a ). Similarly, the mean GRS2 was significantly elevated in the nephrolithiasis group (9.52 in nephrolithiasis vs. 7.77 in control, P = 0.002). For individuals in the first, second, third, and fourth quartiles of GRS2, the probabilities of calcium nephrolithiasis were 38.6%, 60.8%, 58.5%, and 61.5%, respectively (P-trend < 0.0001, Figure 1b ). The AUC for GRS1 was 0.557 (95% CI: 0.523–0.591), with a sensitivity of 0.38 and a specificity of 0.716. In contrast, the AUC for GRS2 was 0.590 (95% CI: 0.557–0.624), with a sensitivity of 0.83 and a specificity of 0.338 ( Figure 2a ). These findings suggest that both GRS1 and GRS2 may serve as predictive tools for assessing the risk of nephrolithiasis. To validate these prediction models in an independent cohort, we further analyzed genetic data from 547 nephrolithiasis cases and 504 controls. Compared to the training cohort, GRS1 in the testing cohort showed an AUC of 0.596 (95% CI: 0.562–0.630), sensitivity of 0.72, and specificity of 0.462, while GRS2 had an AUC of 0.597 (95% CI: 0.563–0.631), sensitivity of 0.72, and specificity of 0.462 ( Figure 2b ). Finally, we assessed the discriminatory capacity of both GRS1 and GRS2 for predicting nephrolithiasis recurrence risk in the training cohort. However, neither GRS1 (P = 0.966) nor GRS2 (P = 0.443) showed a significant deviation from an AUC of 0.50 ( Figure 3 ). Hence, we analyzed the associations between these SNPs and the recurrence risk of calcium nephrolithiasis. Among the 54 SNPs, only three SNPs of rs7057398 (OR=1.971, P=0.03681) and rs12837024 (P=3.826, OR=0.001722) at CLDN2 and rs7652589 at CASR (P=0.6715, OR=0.03872) showed significant associations with the recurrence risk of calcium nephrolithiasis ( Table 3 ). After linkage disequilibrium (LD) clumping, rs12837024 at CLDN2 and rs7652589 at CASR remained for construction of genetic risk score to predict nephrolithiasis recurrence. We calculated genetic risk score 3 (GRS3), a wGRS, of patients with recurrent and non-recurrent groups. The AUC was 0.552 (95%CI: 0.506 to 0.598), with a sensitivity of 0.35 and specificity of 0.73. The addition of weighted genetic risk score to the traditional risk factors, including gender, age, body mass index, serum creatinine, serum uric acid and serum calcium levels, slightly improved the AUC from 0.552 to 0.574 (95%CI: 0.529 to 0.620), with sensitivity of 0.597 and specificity of 0.545 ( Figure 4a ). To verify the prediction model in the testing cohort, we further analyzed the genotypes of recurrent disease cases and non-recurrent disease cases. Compared with the training cohort, the prediction model showed an AUC of 0.578 (95% CI: 0.532 to 0.624), with a sensitivity of 0.614, and a specificity of 0.534 in the testing cohort ( Figure 4b ). DISCUSSION Up to now, GWASs have reported the associations of the risk of nephrolithiasis with more than 25 loci. Moreover, several case-control studies have also investigated the role of biologically plausible candidate genes of nephrolithiasis. In this study, we investigated the relationship between 54 SNPs in 37 genes, as identified in previous literature, and the susceptibility to calcium nephrolithiasis in the Han Chinese cohort. Our analysis successfully validated associations at nine loci with calcium nephrolithiasis risk, among which rs17216707 at CYP24A1 , rs3760702 at GIPC1 , and rs755622 at MIF-AS remained significant after Bonferroni correction. Located approximately 38kb upstream of CYP24A1, the rs17216707 variant is situated within the gene encoding cytochrome P450 family 24 subfamily A member 1 (CYP24A1), an enzyme responsible for converting active 1,25-dihydroxyvitamin D into its inactive form, 24,25-dihydroxyvitamin D. Loss-of-function mutations in CYP24A1 are associated with autosomal recessive infantile hypercalcemia type 1 (OMIM 126065)[ 21 ]. A GWAS in British and Japanese populations have identified rs17216707 as a key locus linked to nephrolithiasis. This SNP is further correlated with elevated serum calcium levels and a higher frequency of stone recurrence in nephrolithiasis patients. It is hypothesized that the risk alleles at rs17216707 may impair CYP24A1 activity, leading to disturbances in calcium homeostasis[ 9 ]. In our investigation, rs17216707 was significantly associated with an increased risk of calcium nephrolithiasis in a Chinese Han cohort. In 2015, a GWAS in Icelanders identified a suggestive association of rs7627468 at CASR with nephrolithiasis[ 14 ]. CASR encodes calcium-sensing receptor (CaSR), a G-protein-coupled receptor localized on the apical surface of proximal tubular cells, which is essential for maintaining renal calcium homeostasis. In our research, we identified rs7652589 in CASR as significantly associated with an increased risk of calcium nephrolithiasis in the Chinese Han cohort. rs7652589 is located at the 5'untranslated region of CASR , which belongs to the regulatory region, and it may modify the transcription and expression of CASR [ 32 ]. It has been hypothesized that the risk allele of rs7652589 might specifically affect gene expression in the kidney and thus influence the ability of CaSR to respond to extracellular calcium, thereby increasing the risk of nephrolithiasis[ 31 ]. rs578595 at WDR72 and rs3760702 at GIPC1 were initially identified as being associated with nephrolithiasis risk in a trans-ethnic GWAS involving Japanese and British populations[ 9 ]. In the current study, we successfully replicated these associations within a Chinese Han cohort. rs578595 is an intronic variant in WDR72 , encoding WD repeat domain 72 (WDR72). Loss-of-function mutations of WDR72 cause amelogenesis imperfecta (AI), a hereditary disorder characterized by defects in enamel formation, resulting in fragile, discolored, or abnormally shaped teeth. Conversely, missense mutations in WDR72 can result in distal renal tubular acidosis (dRTA), potentially occurring without AI symptoms[ 15 ]. Patients with dRTA may develop complications such as nephrocalcinosis, nephrolithiasis, and reduced renal function. rs3760702 is ~ 300 bp upstream of GIPC1 , which encodes the Regulator of G-protein Signaling 19 Interacting Protein 1 (GIPC1). Although the mechanism by which GIPC1 polymorphisms contribute to kidney stone formation remains unclear, both WDR72 and GIPC1 are believed to be involved in clathrin-mediated endocytosis, a process crucial for sustained intracellular CaSR signaling[ 7 , 22 , 33 ]. CLDN14 was firstly identified as a significant locus for nephrolithiasis in a 2009 GWAS conducted in the Icelandic population. Subsequently, a trans-ethnic GWAS by Howles et al. [ 9 ] observed a robust association between rs12626330 in CLDN14 and nephrolithiasis risk in British and Japanese populations. In this study, we further replicated the association of rs12626330 with nephrolithiasis in a Chinese Han cohort. CLDN14 encodes claudin-14, a critical component of epithelial tight junctions. Claudin-14 is primarily expressed in the thick ascending limb of the loop of Henle and has been shown to disrupt calcium transport in conjunction with the claudin-16 and claudin-19 complex in the kidney [ 16 ]. Moreover, CaSR can regulate the expression of claudin-14 through a microRNA-dependent mechanism[ 26 ]. The UMOD gene encodes uromodulin (UMOD), a protein that is the most prevalent in human urine and serves as a well-known inhibitor of calcium-phosphate crystallization. A GWAS conducted on the Icelandic population identified rs4293393 in UMOD as a susceptibility variant for chronic kidney disease and a protective variant against nephrolithiasis[ 8 ]. Additionally, a trans-ethnic GWAS by Howles et al. [ 9 ] highlighted rs77924615 in UMOD as significantly associated with the risk of nephrolithiasis. Our study corroborated the association of rs77924615 with nephrolithiasis in the Chinese Han cohort. CaSR is believed to regulate UMOD secretion, with mutations that activate CaSR leading to decreased UMOD levels, while inactivating mutations result in increased UMOD secretion. In human subjects treated with cinacalcet, an agonist of CaSR, urinary UMOD secretion was also found to be reduced[ 27 ]. Furthermore, we also confirmed the association of rs1010269 BCAS3 and rs13006480 at MRPL33 with calcium nephrolithiasis in Chinese Han population, the loci of which were first identified in the GWASs by Tanikawa et al.[ 24 ] and Howles et al.[ 9 ], respectively. However, the mechanisms of BCAS3 and MRPL33 polymorphisms in nephrolithiasis remain unclear. Previous studies have indicated that rs755622 at MIF-AS is associated with the risk of various kidney diseases, making it a candidate gene for predicting nephrolithiasis risk[ 28 ]. In the study of Ma et al. [ 11 ], the rs755622 polymorphism was linked to nephrolithiasis in a Chinese cohort. They suggested that rs755622 may contribute to nephrolithiasis development by modulating the functions of MIF and lncRNA MIF-AS. In our cohort, we found a significant association of rs755622 with calcium nephrolithiasis. We evaluated the performance of these significant SNPs, in combination, to predict the genetic susceptibility to calcium nephrolithiasis in Chinese Han cohort. We first calculated GRS1 for each patient based on genotypes of 35 known nephrolithiasis risk SNPs and ORs of these SNPs obtained from an external study. GRS2 was calculated based on these 9 significant SNPs and ORs in the present study. We demonstrated that both GRS1 and GRS2 were informative in estimating the individual risk of calcium nephrolithiasis. Individuals with a higher GRS1 and GRS2 would have higher risk of incidence of calcium nephrolithiasis. Consistent with our results, Paranjpe et al[ 17 ] generated a polygenic risk score from the GWAS statistics in the UK Biobank, which was associated with urolithiasis in the absence of known clinical risk factors, and their results illustrated the complex polygenic architecture of patients with urolithiasis. Unfortunately, however, neither GRS1 nor GRS2 revealed the recurrence risk among patients with calcium nephrolithiasis. After all, there is little evidence that these loci are associated with stone recurrence and can be used to predict the recurrence of nephrolithiasis. To address this gap, we analyzed the correlation between these SNPs and recurrence risk in nephrolithiasis patients. Notably, aside from rs7652589 at CASR , most key loci identified in our study showed no significant relationship with calcium nephrolithiasis recurrence. We also identified that rs7057398 and rs12837024 at CLDN2 were associated with the recurrence risk of calcium nephrolithiasis despite lacking a significant link to nephrolithiasis incidence. CLDN2 encodes claudin-2, a tight junction protein predominantly expressed in proximal renal tubular epithelial cells, where it regulates calcium transport through the paracellular pathway[ 13 ]. Claudin-2-null mice have been observed to develop hypercalciuria due to impaired renal tubular calcium transport, leading to papillary nephrocalcinosis, a condition resembling intratubular calcium plugs found in kidney stone formers[ 4 , 12 ]. In a population-based study, Curry et al. [ 4 ] examined 12 SNPs within the CLDN2 locus and identified nine, including rs7057398 and rs12837024, that were significantly associated with nephrolithiasis risk. In our previous study, we explored the differentially expressed genes and potential pathways regulated by CASR in renal tubular epithelial cells, and we identified CLDN2 as a hub gene regulated by CASR [ 38 ]. Presently, very few studies have been reported to assess the association between genetic risk score and recurrence risk of nephrolithiasis. In the study of Zhu et al.[ 39 ], they identified that five loci, including KCNK5 , RGS14 , SLC34A1 , VDR and TFAP2B , were associated with the recurrence risk of nephrolithiasis in a Chinese population. They constructed a nomogram, combining 14 SNPs with several clinical risk factors, which showed higher predictive accuracy than classifier SNPs or clinical risk factors alone. In a population-based study by Cao et al.[ 1 ], 40 independent SNPs were applied to construct a GRS, and their results indicated that their GRS were significantly associated with the incidence risk of nephrolithiasis. Moreover, excessive serum calcium levels appeared to bring additional risk of nephrolithiasis in groups with high genetic risk. In our study, we derived a weighted genetic risk score, GRS3, based on rs12837024 at CLDN2 and rs7652589 at CASR for the prediction of recurrence risk of nephrolithiasis. Our results demonstrated that GRS3 was effective in discriminating between recurrent and non-recurrent cases in patients with calcium nephrolithiasis, with an AUC of 0.552. The recurrence of nephrolithiasis is associated with several risk factors, including age, gender, BMI, serum creatinine, serum uric acid, serum calcium and parathyroid hormone levels[ 23 , 30 , 34 ]. In our study, improved assessment of recurrence risk of nephrolithiasis was also observed, when GRS3 was added to a more comprehensive clinical model, with an AUC of 0.574. The genetic variations could persist and influence the formation of nephrolithiasis even after lifestyle changes. We assumed that the added value of genetic score in predicting the recurrence risk of nephrolithiasis could have potential clinical value. The genetic risk score model can be used to better determine the need for stringent prevention advice and increasing follow-up frequency postoperatively in calcium nephrolithiasis patients, especially those without traditional risk factors. However, this study has several notable limitations. First, the relatively small sample size may weaken the statistical robustness of our findings, even though significant associations were observed. Second, the AUC of 0.552–0.574 for GRS3 was relatively low for a prediction tool for the recurrence risk of nephrolithiasis even though the comprehensive clinical model was added. CONCLUSION We replicated 9 loci associated with the incidence of calcium nephrolithiasis in Chinese Han population, most of which are involved in CASR signaling pathway. GRS based on those significant SNPs could predict the risk of incidence but not recurrence of calcium nephrolithiasis. The weight GRS composed of two recurrence-associated SNPs is significantly associated with the recurrence risk of nephrolithiasis and could add predictive value to traditional clinical risk factors for the recurrence of nephrolithiasis. Declarations AUTHORS’ CONTRIBUTIONS WLJ: Conceptualization, methodology, funding acquisition, writing-original draft; ZZJ: Formal analysis, methodology, supervision; GP: Formal analysis; LZY: Formal analysis; LXL: Formal analysis, supervision, visualization; WZ: Writing-review & editing, conceptualization, supervision, funding acquisition. FUNDING This project was supported by grants from the National Natural Science Foundation of China (No. 82100807). AVAILABILITY OF DATA AND MATERIALS The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. DECLARATION OF INTERESTS The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. References X. Cao, S. Li, Y. Guan, Z. Shao, M. Jiang, M. Wang, X. Hao, Blood Calcium, Genetic Risk, and Risk of Incident Kidney Stone: A Population-Based Cohort Study. 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Cases (n=1157) Controls (n=1008) P-value Gender, male/female, n 786/371 705/303 0.302 Age(years) 50.47±12.55 49.98 ± 12.65 0.431 Body mass index(kg/m 2 ) 24.76±3.30 24.28 ± 3.26 0.003 Diabetes, yes/no, n 156/1001 121/887 0.304 Hypertension, yes/no, n 408/749 350/658 0.792 Serum creatinine (μmol/L) 85.19±41.93 83.64 ± 23.51 0.331 serum uric acid (mmol/L) 0.360±0.088 0.353 ± 0.077 0.083 Serum calcium (mmol/L) 2.26±0.12 2.27 ± 0.10 0.062 Serum magnesium (mmol/L) 0.91±0.93 0.89 ± 0.75 0.625 Serum phosphorus (mmol/L) 1.13±0.21 1.14 ± 0.18 0.293 Serum albumin (g/L) 42.11±4.11 41.86 ± 4.09 0.217 Serum triglycerides (mmol/L) 1.59±0.80 1.62 ± 0.84 0.461 Serum cholesterol (mmol/L) 4.60±1.24 4.65 ± 1.22 0.410 Table 2 Results of association analysis for calcium nephrolithiasis in Chinese Han population. CHR SNP Position a Region Gene Minor Allele Major Allele MAF P-value OR 95%CI 1 rs6667242 21826566 1p36.12 ALPL G A 0.2696 0.08014 0.8391 0.6893-1.021 1 rs10917002 21836340 1p36.12 ALPL T C 0.3022 0.7836 0.9747 0.8119-1.17 1 rs1256328 21896767 1p36.12 ALPL T C 0.2016 0.3372 0.9046 0.7372-1.11 2 rs1260326 27730940 2p23.3 GCKR C T 0.4475 0.5465 0.9498 0.8032-1.123 2 rs780093 27742603 2p23.3 GCKR C T 0.4607 0.4935 0.9433 0.798-1.115 2 rs13006480 27987221 2p23.2 MRPL33 G C 0.3005 0.006189* 1.321 1.082-1.613 2 rs13003198 234257105 2q37.1 DGKD T C 0.4009 0.2105 1.12 0.9378-1.338 3 rs7652589 121889088 3q13.33-q21.1 CASR G A 0.3565 0.02663* 0.8216 0.6904-0.9776 3 rs7627468 121946099 3q13.33-q21.1 CASR G A 0.4708 0.3508 0.9196 0.7711-1.097 4 rs1481012 89039082 4q22.1 ABCG2 G A 0.3082 0.4219 0.9287 0.7753-1.112 4 rs2231142 89052323 4q22.1 ABCG2 T G 0.3148 0.584 0.9512 0.7951-1.138 5 rs12654812 176794191 5q35.3 SLC34A1 A G 0.2787 0.3751 1.089 0.9021-1.314 5 rs56235845 176798040 5q35.3 SLC34A1 G T 0.2 0.4294 1.096 0.8729-1.377 5 rs11746443 176798306 5q35.3 RGS14 A G 0.1803 0.433 1.092 0.8761-1.362 6 rs1544935 39124448 6p21.2 KCNK5 G T 0.1588 0.6625 0.9506 0.757-1.194 6 rs1155347 39146230 6p21.2 KCNK5 C T 0.1607 0.787 1.033 0.816-1.308 6 rs3798519 50788778 6p12.3 TFAP2B C A 0.2431 0.2424 1.128 0.9219-1.379 6 rs6928986 131323992 6q23.1-q23.2 EPB41L2 C T 0.3838 0.6641 0.9615 0.8056-1.148 6 rs77648599 160624115 6q25.3 SLC22A2 G T 0.01661 0.6164 0.8489 0.4468-1.613 7 rs12539707 27626165 7p15.2 HIBADH T C 0.08155 0.8615 1.028 0.7559-1.397 7 rs12666466 30916430 7p14.3 AQP1 G C 0.08964 0.54 0.9143 0.6865-1.218 7 rs6975977 30917831 7p14.3 INMT-FAM188B A G 0.09262 0.4533 0.8963 0.6731-1.193 7 rs7456421 139415775 7q34 HIPK2 C G 0.2917 0.2008 0.8869 0.7379-1.066 7 rs6464214 139454165 7q34 HIPK2 G A 0.295 0.1966 0.8874 0.7402-1.064 7 rs2058265 139462249 7q34 HIPK2 T G 0.2949 0.2113 0.8908 0.7431-1.068 11 rs4529910 111243102 11q23.1 POU2AF G T 0.4197 0.6096 1.046 0.8795-1.245 12 rs731236 48238757 12q13.11 VDR G A 0.04754 0.3389 0.8328 0.5721-1.212 12 rs7975232 48238837 12q13.11 VDR A C 0.2779 0.6037 1.051 0.871-1.268 13 rs3752472 33629393 13q13.1 Klotho T C 0.07241 0.3429 0.8587 0.6267-1.177 13 rs7328064 42746118 13q14.11 DGKH C A 0.4725 0.5258 0.9471 0.8008-1.12 13 rs1037271 42779410 13q14.11 DGKH T C 0.4577 0.7279 0.9701 0.8176-1.151 15 rs578595 53997089 15q21.3 WDR72 A C 0.1285 0.003391* 0.6932 0.542-0.8865 16 rs77924615 20392332 16p12.3 UMOD A G 0.2 0.04165* 1.256 1.008-1.565 16 rs35747824 20393308 16p12.3 PDILT T A 0.1978 0.1184 1.189 0.9566-1.479 16 rs889299 23381914 16p12.2 SCNN1B A G 0.359 0.09401 0.8606 0.722-1.026 16 rs7206790 53797908 16q12.2 FTO G C 0.06073 0.2332 1.283 0.8508-1.936 17 rs1010269 59448945 17q23.2 BCAS3 A G 0.3585 0.005148* 0.7728 0.6451-0.9259 17 rs2079742 59465697 17q23.2 BCAS3 C T 0.4808 0.2024 0.8775 0.7177-1.073 17 rs2286526 59472057 17q23.2 LOC645722 T C 0.3635 0.682 0.9614 0.7964-1.161 17 rs4793434 70352537 17q24.3 SOX9 G C 0.353 0.5581 0.9487 0.7956-1.131 19 rs74956940 14571966 19p13.12 PKN1 G C 0.2069 0.6566 1.05 0.8471-1.301 19 rs3760702 14588237 19p13.12 GIPC1 A G 0.2161 7.70E-05** 1.654 1.287-2.126 19 rs2043211 48737706 19q13.33 CARD8 T A 0.5051 0.5121 1.058 0.8939-1.252 20 rs13041834 52703284 20q13.2 BCAS1 C T 0.2209 0.3292 0.9056 0.7419-1.105 20 rs6123359 52714706 20q13.2 BCAS1 A G 0.4045 0.2969 0.8899 0.7146-1.108 20 rs17216707 52732362 20q13.2 CYP24A1 C T 0.03361 0.0001521** 4.208 1.879-9.425 21 rs219780 37833307 21q22.13 CLDN14 A G 0.0008197 0.8924 0.8261 0.05161-13.22 21 rs12626330 37835982 21q22.13 CLDN14 G C 0.5071 0.03245* 1.208 1.016-1.436 21 rs7277076 37836973 21q22.13 CLDN14 T C 0.417 0.05143 0.837 0.6998-1.001 22 rs13054904 23410918 22q11.23 BCR A T 0.03884 0.7059 1.089 0.6996-1.695 22 rs755622 24236392 22q11.23 MIF-AS C G 0.1273 5.67E-05** 0.605 0.473-0.7739 23 rs7057398 106144529 Xq22.3 CLDN2 C T 0.3614 0.5594 0.9273 0.7197-1.195 23 rs12837024 106154233 Xq22.3 CLDN2 T C 0.2985 0.2586 0.8537 0.6488-1.123 23 rs73247968 106155095 Xq22.3 CLDN2 A C 0.1564 0.191 0.8015 0.5751-1.117 Abbreviations: Chr., chromosome; CI, confident interval; MAF, minor allele frequency; OR, odds ratio; SNP, single-nucleotide polymorphism. * P < 0.05. **P＜0.05/54 Table 3 Results of association analysis for recurrent calcium nephrolithiasis in Chinese Han population. CHR SNP Position a Region Gene Minor Allele Major Allele MAF P-value OR e 95%CI 1 rs6667242 21826566 1p36.12 ALPL G A 0.25 0.5475 0.8667 0.5436-1.382 1 rs10917002 21836340 1p36.12 ALPL T C 0.2871 0.3406 0.8236 0.5524-1.228 1 rs1256328 21896767 1p36.12 ALPL T C 0.2202 0.09596 1.514 0.9266-2.475 2 rs1260326 27730940 2p23.3 GCKR C T 0.4419 0.4284 0.8627 0.5984-1.244 2 rs780093 27742603 2p23.3 GCKR C T 0.4511 0.1733 0.7761 0.5385-1.118 2 rs13006480 27987221 2p23.2 MRPL33 G C 0.3 0.8098 0.9512 0.633-1.429 2 rs13003198 234257105 2q37.1 DGKD T C 0.3969 0.2411 0.7943 0.5401-1.168 3 rs7652589 121889088 3q13.33-q21.1 CASR G A 0.3457 0.03872* 0.6715 0.4597-0.981 3 rs7627468 121946099 3q13.33-q21.1 CASR G A 0.4644 0.172 0.7587 0.5102-1.128 4 rs1481012 89039082 4q22.1 ABCG2 G A 0.3089 0.8999 0.9751 0.6579-1.445 4 rs2231142 89052323 4q22.1 ABCG2 T G 0.3119 0.8259 0.957 0.6471-1.415 5 rs12654812 176794191 5q35.3 SLC34A1 A G 0.263 0.1591 0.7533 0.5075-1.118 5 rs56235845 176798040 5q35.3 SLC34A1 G T 0.1883 0.245 0.7601 0.4782-1.208 5 rs11746443 176798306 5q35.3 RGS14 A G 0.1713 0.2279 0.7577 0.4821-1.191 6 rs1544935 39124448 6p21.2 KCNK5 G T 0.142 0.7565 0.9217 0.5506-1.543 6 rs1155347 39146230 6p21.2 KCNK5 C T 0.1498 0.6662 0.8966 0.546-1.472 6 rs3798519 50788778 6p12.3 TFAP2B C A 0.2549 0.05912 1.592 0.9792-2.587 6 rs6928986 131323992 6q23.1-q23.2 EPB41L2 C T 0.369 0.4398 0.853 0.5697-1.277 6 rs77648599 160624115 6q25.3 SLC22A2 G T 0.01447 0.4911 0.6313 0.1686-2.364 7 rs12539707 27626165 7p15.2 HIBADH T C 0.09077 0.123 1.868 0.8344-4.183 7 rs12666466 30916430 7p14.3 AQP1 G C 0.07798 0.7587 0.9022 0.4676-1.74 7 rs6975977 30917831 7p14.3 INMT-FAM188B A G 0.0836 0.8011 1.095 0.5416-2.213 7 rs7456421 139415775 7q34 HIPK2 C G 0.2723 0.7844 1.06 0.6975-1.611 7 rs6464214 139454165 7q34 HIPK2 G A 0.2795 0.726 1.078 0.7094-1.637 7 rs2058265 139462249 7q34 HIPK2 T G 0.2793 0.7291 1.077 0.7089-1.635 11 rs4529910 111243102 11q23.1 POU2AF G T 0.4141 0.08552 0.7067 0.4753-1.051 12 rs731236 48238757 12q13.11 VDR G A 0.0581 0.07512 2.817 0.8571-9.259 12 rs7975232 48238837 12q13.11 VDR A C 0.2706 0.8483 0.961 0.6392-1.445 13 rs3752472 33629393 13q13.1 Klotho T C 0.08525 0.1136 1.988 0.8357-4.729 13 rs7328064 42746118 13q14.11 DGKH A C 0.5078 0.4471 0.8667 0.5992-1.254 13 rs1037271 42779410 13q14.11 DGKH T C 0.4281 0.4962 0.8754 0.5966-1.284 15 rs578595 53997089 15q21.3 WDR72 A C 0.1117 0.6338 0.8636 0.4723-1.579 16 rs77924615 20392332 16p12.3 UMOD A G 0.2018 0.5305 1.163 0.725-1.866 16 rs35747824 20393308 16p12.3 PDILT T A 0.2006 0.473 1.192 0.7374-1.927 16 rs889299 23381914 16p12.2 SCNN1B A G 0.3777 0.9842 0.9962 0.6838-1.451 16 rs7206790 53797908 16q12.2 FTO G C 0.04789 0.4498 0.7294 0.3208-1.658 17 rs1010269 59448945 17q23.2 BCAS3 A G 0.3491 0.9295 1.019 0.6697-1.551 17 rs2079742 59465697 17q23.2 BCAS3 C T 0.4675 0.7811 0.9431 0.6239-1.426 17 rs2286526 59472057 17q23.2 LOC645722 T C 0.3702 0.7372 1.075 0.7036-1.644 17 rs4793434 70352537 17q24.3 SOX9 G C 0.341 0.6571 1.092 0.7397-1.613 19 rs74956940 14571966 19p13.12 PKN1 G C 0.2042 0.0863 0.6763 0.4317-1.059 19 rs3760702 14588237 19p13.12 GIPC1 A G 0.2209 0.2761 0.7818 0.5017-1.218 19 rs2043211 48737706 19q13.33 CARD8 T A 0.5266 0.06909 1.414 0.9722-2.057 20 rs13041834 52703284 20q13.2 BCAS1 C T 0.2167 0.4599 1.192 0.748-1.899 20 rs6123359 52714706 20q13.2 BCAS1 A G 0.4143 0.766 1.093 0.608-1.965 20 rs17216707 52732362 20q13.2 CYP24A1 C T 0.02752 0.9453 0.9623 0.3206-2.888 21 rs219780 37833307 21q22.13 CLDN14 A G 0 NA NA NA 21 rs12626330 37835982 21q22.13 CLDN14 G C 0.5131 0.1683 1.304 0.8934-1.903 21 rs7277076 37836973 21q22.13 CLDN14 T C 0.413 0.5159 0.8794 0.5966-1.296 22 rs13054904 23410918 22q11.23 BCR A T 0.03727 0.6153 1.316 0.4494-3.855 22 rs755622 24236392 22q11.23 MIF-AS C G 0.1207 0.3318 0.7509 0.4203-1.341 23 rs7057398 106144529 Xq22.3 CLDN2 C T 0.375 0.03681* 1.971 1.034-3.759 23 rs12837024 106154233 Xq22.3 CLDN2 T C 0.3281 0.001722* 3.826 1.573-9.305 23 rs73247968 106155095 Xq22.3 CLDN2 A C 0.163 0.2186 1.752 0.7102-4.323 Abbreviations: Chr., chromosome; CI, confident interval; MAF, minor allele frequency; OR, odds ratio; SNP, single-nucleotide polymorphism. * P < 0.05 Additional Declarations No competing interests reported. Supplementary Files SupplementaryTable.docx Supplementary Table 1 Genetic markers used for nephrolithiasis risk prediction. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6305755","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":441818254,"identity":"cee74b5f-01d0-4181-97ce-77f4e6fcd03d","order_by":0,"name":"Lujia Wang","email":"","orcid":"","institution":"Huashan Hospital, Fudan University","correspondingAuthor":false,"prefix":"","firstName":"Lujia","middleName":"","lastName":"Wang","suffix":""},{"id":441818255,"identity":"07ab415f-4bff-47cd-a660-c965ccea74be","order_by":1,"name":"Zijian Zhou","email":"","orcid":"","institution":"Huashan Hospital, Fudan University","correspondingAuthor":false,"prefix":"","firstName":"Zijian","middleName":"","lastName":"Zhou","suffix":""},{"id":441818259,"identity":"8b40ef3e-8253-4378-a639-eee328b13538","order_by":2,"name":"Peng Gao","email":"","orcid":"","institution":"Huashan Hospital, Fudan University","correspondingAuthor":false,"prefix":"","firstName":"Peng","middleName":"","lastName":"Gao","suffix":""},{"id":441818260,"identity":"d3ced597-f276-4b55-824f-f9f10cd615cf","order_by":3,"name":"Zeyu Lin","email":"","orcid":"","institution":"Nanjing Medical University","correspondingAuthor":false,"prefix":"","firstName":"Zeyu","middleName":"","lastName":"Lin","suffix":""},{"id":441818261,"identity":"dba124b9-4ccd-4a1a-b78a-c1c6f4233160","order_by":4,"name":"Xiaoling Lin","email":"","orcid":"","institution":"Shanghai Jiao Tong University","correspondingAuthor":false,"prefix":"","firstName":"Xiaoling","middleName":"","lastName":"Lin","suffix":""},{"id":441818262,"identity":"37cd6075-2dff-4685-840a-cb465494e789","order_by":5,"name":"Zhong Wu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA7UlEQVRIie3QMQrCMBSA4ZRCurSdUwp6hZQsHqdF0EVdXBy0phTq4gUK4hk6iWMlUJfgLDhoFZx1czSig1PaUTD/9AjvG14AUKl+sRzA92BE0ckfoUazPjEZwzfeIh6tTVCn46TJKBAv8uzD9nq6rydBlveway2Rr1G9PO8lxNn5XS/lW0E4JtYKDQwACelJCOagcK2k6GebOW4LMtSoCV050ZI3YSZm1gIFNK8kOhRk3M8KGEQprUEcDqH4qHyacp2BW4GIF1fcYnPjiu5JSOxjOXv447DRNOLyIiOf2NesV6+/CuutqVQq1X/2BINxUythBxXmAAAAAElFTkSuQmCC","orcid":"","institution":"Huashan Hospital, Fudan University","correspondingAuthor":true,"prefix":"","firstName":"Zhong","middleName":"","lastName":"Wu","suffix":""}],"badges":[],"createdAt":"2025-03-25 16:38:20","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6305755/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6305755/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":80812318,"identity":"14e521ff-f174-4309-a912-c5b6f0bbf08d","added_by":"auto","created_at":"2025-04-17 10:37:18","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":37746,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eLikelihood of calcium nephrolithiasis with different genetic scores range in the study population.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6305755/v1/ab4cf4fcba05e87589579a91.png"},{"id":80812317,"identity":"956c4090-8079-408b-a501-034f8d08e45a","added_by":"auto","created_at":"2025-04-17 10:37:18","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":102255,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eAUCs of GRS1 and GRS2 for predicting nephrolithiasis risk.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6305755/v1/0e27b2dae34df3e8bbf7e80e.png"},{"id":80812322,"identity":"e848f4a5-364d-45fa-a58d-d2a197473210","added_by":"auto","created_at":"2025-04-17 10:37:19","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":89148,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eAUCs of GRS1 and GRS2 for predicting recurrence risk of nephrolithiasis.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-6305755/v1/c6243bc77be93cbc135de6a0.png"},{"id":80812321,"identity":"e1391451-dafb-43c5-bf94-e0fdbf75c156","added_by":"auto","created_at":"2025-04-17 10:37:19","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":110867,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eAUC of GRS3 for predicting recurrence risk of nephrolithiasis.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-6305755/v1/332c28e725afabff65a151af.png"},{"id":96851235,"identity":"1faeee1f-cade-4908-9b13-6eafa01d0405","added_by":"auto","created_at":"2025-11-26 17:38:24","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1823393,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6305755/v1/35c35c71-7f56-4d08-8e52-bad35ed64ce7.pdf"},{"id":80812319,"identity":"8e02f0e2-3472-4a87-a152-fd92e37cd862","added_by":"auto","created_at":"2025-04-17 10:37:19","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":16914,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table 1 Genetic markers used for nephrolithiasis risk prediction.\u003c/p\u003e","description":"","filename":"SupplementaryTable.docx","url":"https://assets-eu.researchsquare.com/files/rs-6305755/v1/5af6a7a4ee472f7f3f6efff2.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Genetic Risk Scores from Multiple Single Nucleotide Polymorphisms Reveal Genetic Susceptibility and Recurrence Risk of Calcium Nephrolithiasis","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eNephrolithiasis, affecting 5\u0026ndash;10% of individuals during their lifetime, poses significant healthcare and economic challenges[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. The majority of kidney stones are composed of calcium (70\u0026ndash;85%), predominantly in the form of either oxalate or phosphate[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. The etiology of nephrolithiasis is multifactorial, including age, gender, race, geography, climate, dietary and genetic factors, etc.[\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] However, these variables do not completely account for the condition's high heritability, as individuals without identifiable clinical risk factors can still develop kidney stones. Recent studies indicate that about 65% of individuals with kidney stones have a family history of nephrolithiasis[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e], and a twin study has reported a heritability of urolithiasis to be 56%[\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e], suggesting a pivotal role for host genetic factors.\u003c/p\u003e \u003cp\u003eGenome-wide association studies (GWAS) across diverse populations have identified several single nucleotide polymorphisms (SNPs) associated with an increased risk of kidney stone formation. This condition tends to recur, with approximately 50% of affected individuals experiencing another episode within a decade. Furthermore, repeated occurrences of kidney stones have been correlated with a gradual deterioration in renal function[\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. While certain clinical characteristics have been linked to the recurrence of calcium nephrolithiasis[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e], evidence supporting the predictive value of significant SNPs for recurrence risk remains limited.\u003c/p\u003e \u003cp\u003eThe aim of the present study was to assess the identified susceptibility loci for nephrolithiasis within the Chinese Han population and to investigate whether any validated loci contribute to a genetic risk score that can predict both the incidence and recurrence of calcium nephrolithiasis in this demographic.\u003c/p\u003e"},{"header":"MATERIAL AND METHODS","content":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003eStudy participants\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eIn the training cohort, we retrospectively enrolled 610 unrelated Chinese Han patients diagnosed\u0026nbsp;with calcium nephrolithiasis (427 males and 183 females, mean aged 51.2\u0026plusmn;13.8 years) at Huashan Hospital of Fudan University from April 2011 to September 2015. Among the nephrolithiasis cases were 390 recurrent kidney stone formers. For the testing cohort, we prospectively recruited 547 patients with calcium nephrolithiasis (359 males and 188 females, mean aged 54.1\u0026plusmn;13.6 years) who underwent surgical stone removal at Huashan Hospital between October 2015 and September 2021. Patients with radiolucent stones, including struvite, uric acid, and cystine stones, were excluded, as were individuals whose nephrolithiasis was secondary to known underlying conditions such as urinary tract malformations, gout, renal insufficiency, hyperparathyroidism, osteoporosis, chronic diarrhea, or malignancies. The control group consisted of 1,008 individuals, matched by age and gender, with no prior history of urolithiasis or a familial predisposition. The diagnosis of calcium nephrolithiasis was confirmed clinically through plain radiography of the kidney-ureter-bladder (KUB) or non-contrast computed tomography (NCCT) scans. All participants, both patients with nephrolithiasis and control subjects, had similar racial, ethnic, geographical, and environmental backgrounds. In addition to the above criteria, those patients need to meet the following criteria: (\u003cem\u003ei\u003c/em\u003e) have received stone removal surgery with postoperative CT scans confirming a completely stone-free status; (\u003cem\u003eii\u003c/em\u003e) have complete clinical data and at least three years of follow-up information. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAll participants provided informed consent and agreed to participate in the study, which was conducted under a protocol approved by the Huashan Institutional Review Board of Fudan University (HIRB).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eDemographic and clinical data\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003ePostoperative stone-free status was evaluated by a NCCT scan approximately 3 months after surgery. The patients were followed for at least 3 years. The standard follow-up was updated every 6 months through outpatient visiting or direct phone calling. Recurrence was confirmed on the basis of renal ultrasound, KUB and NCCT scans.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eSNP selection and genotyping\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003ePotential functional SNPs were identified based on previously published GWAS and their corresponding functional effects, including known modifications in transcription, translation, protein activity, or hypothetical alterations due to amino acid substitutions. Ultimately, we identified 57 SNPs within 41 genes associated with nephrolithiasis, as documented in the literature [4, 9-11, 14, 24, 25, 29, 35-37] (\u003cstrong\u003eSupplementary Table 1\u003c/strong\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eGenotyping was conducted using the Illumina Asian Screening Array (ASA) BeadChip platform, which covers approximately 660,000 variants throughout the genome. Imputation was carried out with the IMPUTE software, utilizing the 1000 Genomes Project Han Chinese in Beijing (CHB) population as the reference, ensuring an imputation information score greater than 0.90. A standard quality control process was implemented to select SNPs for further analysis. SNPs were excluded based on the following criteria: (\u003cem\u003ei\u003c/em\u003e) genotype call rate \u0026lt; 90%; (\u003cem\u003eii\u003c/em\u003e) minor allele frequency (MAF) \u0026lt; 0.01; or (\u003cem\u003eiii\u003c/em\u003e) \u003cem\u003eP\u003c/em\u003e value \u0026lt; 0.001 for the Hardy\u0026ndash;Weinberg equilibrium (HWE) test. Ultimately, we successfully identified 54 SNPs within 37 genes relevant to kidney stone formation, based on a literature review.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eAssessment of genetic risk\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eA population-standardized genetic risk score (GRS) was calculated using the odds ratios (ORs) for each allele derived from external studies, alongside allele frequencies from the East Asian (EAS) population as provided by the 1000 Genomes Project. Specifically, the GRS was determined by multiplying the per-allele OR for each single nucleotide polymorphism (SNP) and subsequently normalizing the resultant risk relative to the mean population risk (\u003cem\u003eW\u003c/em\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cimg 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+CTzv0sQg0cPniEq48OBHb6PHiKJ9FCrWcUP7rFlRPvh4f37ePDgQaG2f+8/gFdwAtcOZBimNGGBjfmmmdUfhDVLRyHh5DrMXHcOWVxazH9nMe37Nmjdbxo8rz9FaHQ84qNCcO/oKvwwbw90ag7FD60r5PwCBcZO9dG1ew9069atUFvP7l3RpLotGxlYSOn+Z/ifGKZoscDGlAipRMj9TwaSFK69I+OPhzjv8WpoMGwOfpvghnOLJ2Kux3OY1u2OOXPGwD7qDEa2rY/adeuhZhVXtB6xDrL6P2DfX9NRWcl3raiqa0JHR+eTNi2NbyWsSZEc8wavvQORJFAYsaNAmpWIwMAQJOezX5wWjwBfbwRFpfEpnyYtzIv/iWGKFgtsTIko33ICPPZtxWh3Oz7l42zdf8ChfTsxoVU5PkWBhjUGz9+Fc8dWoqWTAUjTHO3G/IZjZy/h9KmDWDrrF8xavhWe5y/j3O7FaMUd8/9HBt8zWzCs7QjsexTJpykivDq6FG0HTMaRF/F8mqIM3NwyF317TsPNcHm7+NPZNP2R/4lhihYLbEyJMCxfF/17dkEd+8IFGX37mujTsxsalDfiU3LTtXBC+1590bmhE96OrzCwcUGrLv0wdsJETBg7Et2aVYep7v/r6scaMDbQRGrEXdz2ieLTFAi8sHvVHrx59AxeLz4MfLLI/7Dr2DG8NKiF5m4WfOqnkbG7kUwxYYGNYf5PWFSsDCuugfzYJwR5luBEyNXjuJDihOqVDRHoH8y1z3J7ffcc/nmoihHjv4fLZ35TjSTmJf8TwxQtFtgY5v+EsWU5bjNFwuNg5OpslIbDc98V2HYejXHdXOAb7IMUhe/CgzgKV44dR3ilthjYsiqf+Ok07ZryPzFM0WKBjWH+T6ia2sDFzAL00hcRCuM/4p5cwIn/tDFkdE80LG+JzAB/hKa/7zZM9bmCfZ4RaN+jN+o6fGZzTU6VfRUAUzxYYGOYYvClS0qpqKgWdqWv/OmYobaVGTTEQYiIf9skS8O1IxcgrNEKHWtbwbqiE8ziIhEULZ+oLifA3UMH8Z9VdXTp3gT/j8NumG8PC2wMU9SEWUhLexsoVKBayAilpvo+mGXFJyP9i79IwBAubuUA9TD4RKRkp4giHuLo1TA079UZNtxjk3KusNRJQUBQYvZ+xD/DHs+nqFy7JzrWt8pOEqVGwz8wDJn/h19swHwbWGBjmKIgFSEh8g2eP7yFbSsWwfPyq5x0iRAxESGIjgpDcHBwvltIWASCwqOQIctZ8S7j5gHMW7wFVx88g39oHISfNcBQHfbVKnIRMxFeb2KzU56fPYr/NOuhX7vq2Y91zB1hYZWFF29yRka+vngct2LV0WZkD1TI7kmU4v6eX1GvwUic8mbfc8eUTmytSIYpCunhOL77D+w6+wzpIhk0NTW4WiSBNHVgX8EVVnpq4GNWPrimmjAZPr7BEHAHqsi/FVwkgkzXGJUa9MPcmf1gr/3p9VLh6wNwaTYZlX46hEvLHPFry34I6rgOnjOb56ygQlFY2bsbtlpOgv/mNljdrxOWPm2AW8+2oU72t4oSIp+egcftFHQe2g+VTdnilUzpwwIbwxQFmRhpqWkQc+FMTbHrkbvcpFJJAUGNxz1PXV099wLLXICTyNRgaGwADdXCdWnmkngPPVx6IrrtcmwcmYBR4+9h4eXD6OWU/d3jnCxcnNEfE+7Wgsf6ipjRdQLUpxzGxVlt+aXDCJlJcUhT1YeFkS7r8mFKJRbYGOb/SggW12+OI9qt0MIgAE+dfsSVTUOgx++V8zk8Hb1nBKJ1OwF2nFDBgX880auiPr83DbunD8PutM44sXkUzFhkY0ohli0ZpihxLazMlGRkKl9+sWAkhTAzE2LJ16p/msC5YXm8eXoCfz/XxYgh7XIFNTlb1yqQiW5j2+57cOvdA82c3wY1jiQFYX7h0NMxwWf0hDJMsWBZk2GKUKbfafRt8z1+93z5GQtKifDs8O/oOXQmLoXkXQvkcxnAsWo5ZGSmwNL9O7R3yxnpqMjQzgkV1AQQadihU5fWsFBc51mcisQEFVjZ2kKHT2KY0oYFNoYpQmrahnCwN4GZ2Sfej5LE4/KfszBk3FJceOSL+K82tl4FjtUbo371DvhpYA84KItOZhXQoVETtP9+OPq0cOYTc0jTYhARmQrj8ias8GBKLXaPjWGKEElEEHFXmIaG5icEgjRcXPUr5hxLQM9O5vDY74upx49iVHXlC0AXp8xXB9Gq8xr08LiIX5t83mLIDFPUWKWLYYpQ9L9/o9fQxXgS+wk32UgNtg16Y/OeTRjZ3BniDJm8oVUqZCTEIEbHGI5mee/MMUzpwQIbwxShsFd34eUdCxUNIDU8EF6vX8PLy0vJ9hqvX/kiKknABTFduLVohYaVzaEizLsOf8nKEGugUl13VDR9Oz2AYUofFtgYpsgIkRCVCj3jyrAxkSLSzxtPnzzFs2fPlG5Pnr5CWOLXGiRSNBzbTMDFA4tRx4IVHUzpxe6xMUyRScbu/u2wUWsCbvw9FJ9zhyzq0kq0GHkJMy8fx6hqJX+PjWG+BazaxTBFRZqIwNA06DjbckFNjKAn93D50iVcuXJFyXYZly7exOuIZOSqaarKL1GV7P8YhikcFtgYpqikJyNYoApnJ2vugQRSFTVoampxm6bSTUuLuxxlObPdZCIBMtJTkZyaAalMhIyURGRmpiPrq03UZpiyi3VFMkwRoZBL+K77ErRa6YEF7Rz41MKJeXgQ0+ZvxIvgGARHpMHCsRzsKzTCrA1r0L4CG7jBMB/DAhvDFBGSSSDIEkNTWxvqn7hgsUychbT0zJxWnroqpGIx97MG9A30oan2bXdLzpkzB8uWLUP79u1x4MABmJmZ8XsY5utggY1hmGKl+G3iY8eOxebNm/lHDPN1sHtsDMMUq379+sHExAT16tVDUFAQn8owXw8LbAzDFKtDhw4hMTER69at41MY5utigY1hmBJx4cIFDB8+nH/EMF8PC2wMwxQ7eastKSkJ/fv351MY5uthgY1hmGI1bty47H/ZoBGmqLBRkQzDMEyZwlpsDMMwTJnCAhvDMAxTprDAxjAMw5QpLLAxDMMwZQoLbAzDMEyZwgIbwzAMU6awwMYwDMOUKSywMQzDMGUKC2wMwzBMmcICG8MwDFOmsMDGMAzDlCkssDEMwzBlCgtsDMMwTJnCAhvDMAxTprDAxjAMw5QpLLAxDMMwZQoLbAzDMEyZwgIbwzAMU6awwMYwDMOUKSywMQzDMGUKC2wMwzBMmcICG8MwDFOmsMDGMAzDlCkssDEMwzBlCgtsDMMwTJnCAhvDMAxTprDAxjAMw5QpKsThf2a+KjFC7x3Fxm0eeBaZCZMKTTF44jh0d7Pk95ciWdG45bkTG/bfRCp04dSiP34Z0xuVzLT4AxiGYb4drMVWJGQIOb8G3/edjmtJlmjYxA1qPp4Y0/kH/PU0gT+mlJBE48iSCRg6/QhUnGujfhVT/LdnJnqN+wPeKVL+IIZhmMLKhNe5DejdrDacnJ3g1LQvVhx9ioxibEKxFlsRoNSHGNuwO243XY4bW4fDSo1LTHmEyc164HL1lbhzYBDMVXKOLVmEiGur0GnAfnz3hwfW9q8G+UuNvL4KHfoeRIcdR7Cyp0vOoQzDMAWSwPfkEgwYcxCW3Qajd1MHxPzjiY2nYjB8zX4sHVgNGvyRRYm12IqASpYqHLqNx6KJXXOCmpyRCxrUsUeWdwgSZHxaiSNIVa3RedwEjG5fOTuoydm61oCljRD+4fF8CsMwTCEIvLBtwVZkdVqA/dsX4IehIzF361/4takaju8/jSABf1wRK5YWW0bgDaxacwpGzQdiZL8GMFLSWqGMN/D86wSSK3XGiPaVoMmnK8qKeowd6z2QWLEjxg1pAwtlB5UEUTJ8Xz6Hl28E1G2qommLWjDJW2UQ+2Jhq444UXk5bu7oBxM+WZmshCA8ffIU//37GF6xadC0q44mtaujZt26cLXU5Y/KQ5yIy55/4dQ/wXyCnAbM7VxRuVolVKpaHTVcrQtVW0p5vA1te+9F2z/34bcuTnxqaZSFsFfP8PLVKzyJEMDapgJ3juqjdqWPv8+s+CA8e/4aIZEClHNvjcZOZihMA5rS4xGeLIGZrTV0lVQJxTFPsG3dMVD9PhjZuzb0+PTShZAa4Yf/XrxGaJoKXBu2RcPy+tl7JMIkRIQJYOti+8m16tQILzx5+h+XZx8hIEUKI6eaXJ51g1u9WihnmM9vSw/Bvt27cN9HsQKlAzuXSnCtVBFVa7ihioPJN1X7lqXFISJFxl13VtBRlqlEUTi9dSOuqtXHzJE9YafDp5cqMqSE++L5Cy+EZKijSqM2qOeQk5slwkREhmXBJr88IgjHlcPXAPceaOtqlJNGaTg8ux8m/1sN54+vQh3TnOQiJQ9sRS3t1d/UhPtTZu3m0H9JfGIeoZeXkJ26OtUduZMixHxiLiK6t7kfqcOQui68QKkSPrmECSIe0LIhraiCvRUZ6VlTuzGHKEbK73xHRoGn5pOreVP6/U4Un6ZERgid2TSdWlV1JhtzQ+69cqVQ9qZOhqZW5FS1LU1Zd4bCBDL+CQoEb2jRoOr88YqbOukZW5C9UzXqMHk7vYgX8U/Ihzia9o1vRxVbzKRHcUo/iNIhI4D+/rUfVSxvS6b6mtz7VCVNPWOyc65DI9ecp2ghf1wuEnpz9U/qVduFbC1MSF/vO1p3PYz7dAqW5n+DNi5dQocfhpJYyRMy31ylqa2duc9MnVpO8qB4Pr10SaennkupTU0nsjYzIjOnTrTreRq/j0gqiqGrf62l5ZvOUWQWn1gAacJr2rNwNDWq6EgWxnrEleV8vtMiEws7cq3dk5bsv0sJyq7X2Ps0wN2KP15hU9EkAy6/O1asTwOXHKPQDP74Ui7F9xptWLKUjjwOV5pH5Hl2++QOZKLGvce2U+lZIp9eqqTRQ4/F1KpGBbIyNSRz126091U6v4/7vIXRdHnHGvr9zwsUpfQaU0LoT4s716EGw/ZQZDGV28US2MQJ92lyJTVC3YF09o2ysxFDu4fXyM7U5bvOVf6BZ76kX2sbkppTF9r3MpVPLFmyrGDaNqopaRs1oQWH7lFodBwlpQo/KCgTn3pQ7yo1qffSS5SeTykqiX1CK4c0IU01DTK0b0Q/Lt5OZ6/coDt37tCta2dpx5LxVNfJlNRV9aj+4JX0OG/QEYTQ8lG1uHNYixYffUnx8fHcFkeRwd509+xO+qmFI1fo6FGzH7ZTUFZ+RXkm3d8xgarVaE9rbwYXqsAvEdIoOjS9I+lrmVPrKZvo5osgio2JIt+HZ2hGt8qkrlaRxu98RMI8byDTx5M625uR3Xe/0NlngRQTk0QC0Qe1kA8kPPWknwcNpz+v+ZNASYkV/+oUjWvsQGpqqqQGfeo64ygl8PtKk4i7m6iZuRnVGbCcbnqHUWxcMmXlKmhkJEoPoaOLfqGfpu4k/7SPn5vMwKv0c/tK3PvWJOuqHWjmuv106cYtLs/epusXj9H6GYPI2VKX+zzMqeMvf1NARp5zF/eIRrQtx+XZ1vTXg1A+z8ZSmP8LunpoLfWuYUYqKtbU57dzlFjwx1Si4h550ORBI2jr9UCleUQS95zW/9icO1fqpKoKMugxm17kU8kvSaG3NlATU3OqP2Ql3fEJp9j4ZBLmySPC9Dd0eP7PNGb6bgrKr0B7R0reh2dQNYfmtOZmZLGVKcUS2LgrgFb0tCVYtqOtjz6sywp8Pai9rQ251axCDrX60YkgAb/nvYTbK8iGqwXW6bONwkpJQyLh8S5qzdUsOy++RPlVKtMDL9HE1u7UecrfFJpfLVgYQXuntiUd6JJrz6V0N/R9LVpReuhdWty9FmlzrZOGkw9QpGId4V1gq0drr0byie+JIq7RD1W0Cdat6M9/Y/lURULyOb2MmtVtSTM8X3CPSq+Ee5uplpkmOQ7aThF5aoCZQedpoLMuWXdbTK+TFS+jDLo2vxuZ6LrTlv9S+LSCCUIu0oSu3Wnp+YAPL0qpgEL/2UvfV7EkQ9umNGnxFGqupk3tppXCwCZNoP2TGpJG5d503D+TT8yHMJh2jxpMA2afVN7S4kjTXtPyPlxlVMWY3Mdsp1fxynNM/OszNL6RHanCnHqvvkppir/vXWDrREeUvKbEp/uoi406odIwOv+mgNdcggTB52ls5+70+6UgPkWRhJKD79DCnm6kZlSeuk9ewLVSjUm948zSF9gkcbR7XD3SqNqPzgQV0GTPCqKdwwbS4PlnKOkjlY7Y+9upvZsb9f/jNr1v9xW94um+1jSGnWsFIDYGMeEp2f0N72XhvocH/rPujqnjesAkLAKBEcn8vrcScH3fSUTr2qPZgLawV+eTS1jU66d4lmSLpo1qQNmdr4zga5j70xw8te2JFQsGwUHptDAZwm4dxoa9V2HUYgL+3jId7g459zzy0nNwx+wdWzHe3QoP/l6PXddCuWd/iGQfpmpY10HLbnWB6HAEeUcj90B+EfzPrsPIX0/BdfgSzOtTQ+k9zsITI/CfU9h0+Coiv/rNYgkiw+Jg4dAaU8Z2ge3bES88HdsaqNe8AqID/BCSLORT5WJx7x8/CK3d0cLNkE8rgDAcexZvwsuKAzG2g/MH9+FSvM9hysAJOC9phFUee7GgXyMYkgyy3Bm8dJBE4vnVAFSs2hx1nQu4saNZHgMXDoD4wgasvPiGT1QkxHPPHdh07jWc+yzCntU/oJqZ8hxjVrULVuzdjL4VRTi7cRNOvUzi9yjiKthK8qxJxcZo2MoZ8PVDQEjeMuHLJPvext9/HsXL2Cw+5TNlhWLHgk3wqT4UY9pxZVwe0uTXWD/pRyy6LMZPaw5g97y+qKCvBklpzCOiMDy/FoQqNZqjdoUC5rBqVcDgRf2QcWodVl8J4RNzi3/hiSnTdkGz91L8MbZZsd5zLp7ApqYLeztHqCEe0VEJXLGnIP4x9pzwQpWe36O9exVYqacgxC82V8ErCbuP3RdewsC2PXp/V45PLTmSeD/cvHIG5++9RKIeIdLvH1y9cgU37v6HOP7NZYXewoKfZnFBbQC2bfoF1YzzlMBviWJw+cxhPI93wuDxw9HY6uMhRc2iIcb9MgSWyc9x+vhlRCqW3R+jqg5tvZyspaqqWESL4Hv+D/ww7xyqTFiDjRPcoTysfoos/HdiAyYu34uAtK99BavCsc0o/OmxBcPrW/FpSmioQV1Nnr0liPJ9gMvHzuFuRCKEJil4xn1WF89fxRP/6Nx5MY+Yfw5j+z/qGDigNUyVDARQ07NGq9Gz8dfujfiRC6YaEnEpDGoZ8H90F+dPnsOzgHQgNQr/XruGy9w5eBySyh/zIU371hjfSx8HVu2HdwafyKNUPxw9fRaRmfUweeoAuBRQYum5dsC4MZ2hEXINR84/RFphRwWra0JLV15lVMmTZ79c7KMjmDthFW6F5Hlznyj6rgd2PtTGkAEtwQ+VyE1dH1XaDMfaXXuwcpQ7TNSlpTCopcPvwR2cO3UBLwIzuRpbJP65Ks8j3DUSmsYf8yGt8u0wtqc29q48CF/uaYoSXx3DzxPXIKLWT9g4vSssirkxUkwDjjRhY1se5bnAFhIbB6HCBxt46wxuRVbAoJ6NYW3mAAt7KQLCorg64Vsy+N24jKfxUtQc8j0am+QTIIqRKN4bhzYuwXKP+4DAG38vHIfBQ4Zhxtp/kc69PIr+B/NHjMbGqymwt0rDsd9nYvqMGZg2bToWbzyGQIXCXpQUhKe3nkJSvQla1/+wxqeMQ+MO6OIowrMX9+AdK+JTCyBORMhLX64KbQOHipb80H4Zgq/vwNgf5uMRmcMq9jKWzJyBGTOmc691Fv644PXRgj9/KtDQ1oO+vg7Uv255xFGFvpkdXCuXh5Hmh9lXkhoKv2cxKOdaBY4m8kqCGFHPzmLB/BW4HRAPqZcHfh46BMNGzMPR+zE5T1JGloBrp24g07UuWlQ24xNz03d0x7g5M9HfPaeyVSpbasQVWrcOY/HklbgrEsP/3lZMGjIYQ7mW+a3QjzWntVC3UxdYvT4Fz0fRfFqO1ODXePEkCKot2qF1VQs+9WM0Ua1FR7ibpuHKwweIKORMXVlaFCJ8uBZjhQoob2/Ap34dqhraMDDQg6baF2RQWRwun7gJYZUGaFFR+ThnNX0n9J0wA1P6NshpsZTGTMLlEZ8bHlg0ZTXuSUTwubUZE7g8MmzEb7gb/rGaszYadOwMs5cncOxpHJ8GpPmewS/jlyO42ihsWzYE5XW4P1HM06WLKbCpwqRcBTjrCPE6LAzpb8tiUSCO77kMYaN2aF+Fq5kZWMPBRhN+oSHIeFuiCgNx0vMaYqT1Mer7+ih84JciPSYMb4KCEFToLRyJ6QUX5boVO2P93/swva0F1Gr3xr47PvDz88GN/aPhyJ3RoIc3cD9KAjtHwuNTB7D38FEcP3YMJ04cx7ETl+Ed/z4YZSWEIsRbDCtXFziYaPOpH6dhaA8XNyuIQ2MQGp+3xqkKTe08XU2STLw89ic2HolA7Xa90f7tsl5csLt79y6CNa1gk/kaRw8cgOfRYzh27Dj3Wj2x88pL5F+nL41k8Dq7D54vjdGtcwc4ZpckOqjVey6Obf0VblZqcJmwE95+fvD3v4IF/WvmO6xdluiPO4/CUL5yDdh8pEXy1eP216ZiifaTVuHwjglQ437uNOMIvHx94ed9ARPdP9Li5eg7V0cdvQjcufiCa/e9lxwRjOhwGZcHXWFZyOHqBlbl4eiii0zfCES+KwDeUoOWTu7OfBIm4sbff+DAHQnaD+iNhvxw89JEGueHO08i4VSl+sfPQ2nPJCpW6DR1LQ5tHQNVFWt0m3MM3lwe8fU6i7GNzPmDlDNwqYFa2mG4fekF5NUkacwt/NxvGPY8iIR67G0sGdUb3bp1467HLvh+8mr8E/GFXb+FVEyBjTsBlg6wcVVDaEgo4rNyonfKi1s47aWO3gM6wE7+SnTNUMVKH3F+gYjmj0l+eQ+XXgTAvHt/dKikD3FKOP69cx/e0enZ+/MXD8/BDeHk7AznQm9N8NvRAKX3rXJRVedqehlIeCPgAnEVuNqZwNDQEPq6Gtl52LnbHNz2eoOgQD/4yu8PBAYikN+eX9+GLgr911nxcYjgYqmxnj60Cxu1VbWha8pd6NHJSM4V2OQnMQGPr8iD0zEcP3ESxw7twYqZw9B1xBZothmHhXMGo+LbMkLDHIPneyDozRsE+HEZ2S/g3euUby/W9oPytkrplO57AvOWH4FJp6EY3bX6u6ClqqEFUXIcMpNM0KCSK0y5z8rQkDvfqmnwf3gL/3pHfdAyTYsNRIhPFhzsbLnQ+C1TgbqmNjKSIpDBtVBsajnBLPv960FDnIDn9+/hcSDXkuWPVqSiawOnSsaIfeWD2HcHyCuMCZDXz830ud9RyEJbXUsH2sbcmeT+VlKuwCbPsxG4ffJgTp49eQJH9m/HgvH9MfDXC3AaMAsLx3XM3ZUly8Sbp3dw90WYQs9O8UuJ8UeIrwjluDzyba+qmpNH0pMiIeCuCzs3J/4a4Vq0KgKE/PcQ/zx5g0wlmURV3wbOrkZcHvFFPFdwZkZHIrFCU3RtVxd6WUlI4looUqkUMi6fCNJSkCgoZA/TFyq2wKZtaA1Te2uQVxRiBfIzlIm75y8hxKw+en9XMeeFqBjAxckOOoFcKyZVkn3Mv1fO40WYHYYMaJ29ikfkP7sxqHlXzD/yooBuMn3U/2EuFi9YgAWF3majSz3LQlWwxBnxiH6TCVMDM+gVrqGllIa+Poy5PyiWcB9+YVvrJIFYwL17A13o6Cvek5Nf/W9wfNMcTJw0HiP69sT3A0Zg6ZkkdF++C4f3Lke3ah+bGv616ENXSx0qaprQMyhkyfeFMt/cwOyx03BOtQ2WLBmLmmaKXdZSJEVFIT1DG3ZmCgNH4h9hdr+O6DLhICLz1GbSw0MRnqwKUxujT+glKK1EiI+M5hqvurAxfX8HNSP4Kqa2bY8fV19EorLanJoBLOx1kJDCVUZT3mZOFWhx+U7+W+R5trBkEjEkQi7PmutBh8sb78k/p1f4a/EvmDRxLAb37IW+Q37Cjuf6GLPDAwc3T0MjuzwXWMpL/D6yG9qM2I43n1lO6utoca0Tde76+dwuTsrOIxGpqjCzMSwDeSQrJ4/o6sFaXmnmUXogtk3uiZZjN8I7WUkm4fKIub024rLzCFck1RzAVahP4/TpMzh79hzOnVPYdi1BF5dCDtz6QsX3eRiawcHWHjgfgog4ASQaL3HqtA+qdliGutZvC2eu4KlREaaCmwgKT4NU9w0uX7yFlBq90b1xzv0ns8ptMGeFMayaVni3BJRyeqjRdxxq8I++NnFSLFfwqXE1G0voKZ5FSsT17etwPK46fp3eF/ZaHy/YtS3s4WgH3I8KR1yGFK76H39XclJhImL9YwHHxrCxULww5aG+Msas2Ijh7pbICn+IFTPm4GKSMdw7dYabjbK2RzLu/LUOh8IrYvr0gXDU/bRAlOZ1ChNn7uTaiYqkiPF9CkGCNsZ3D0b2rS4FWs3GYcf0jjD5SjFPGv8c63+Zgm0BFbF+/yr0q5m3+yQLieHxSOXan7ZmCkNjDCph6MylaGraAmZ5XosoPRNpMk1oaea0wotauu95zFuxEwFvRx8Vgm2jgZg1ZQDf5foxAsSFxUJL2woOCoWWlmVtjFu6GIKqdaG0/qGiBk0dVQhEadzGp3FVUCN7B3DxHo/CwpHMvVyjgrMsBKlxiA9OB6rYwMZAsX0jr8A2wLw969GhghaSX53DrF9WwEdijzZd28HZOOeoXHQd0WfyIriq14N1AX9bkvQcWybNxeU8gyozI70RkpmM1aO7wtMod4e0lm47LNgxATUMP/7Ji9IEyJBpQVOTq8TxaUUpzfsMV/btxpuEwucRe/chmD2pLxzyWbDovSzEhcZCW8ca9gp5BFo26DRhDszFVWCvp+RdcnlES55HhBkKeaQUyB70XyxS6dzMnmQIF1p6OZj8jsygcrbutOGfOH5/jvTnu6mBYzUaf/g1hV5aRpXV9Kjt7FOU9HYSkVRMAoGQSnq+ZtTVJWQEG+r/213KNeMjw5sWdK5M6uVG0+1CrNwhS/enZX0qELSb0ca7H1mVREHCv5vITQ3k1GMJvUrhT8y7eWwNaMON9/PUfI4vJFdDdTJuOpceKZvlKvCn33pVJzWboXSt0EsJvJdwZy3Zyquvn7Dp9NtCUV9ppqYs6RWtHdSQtPXr0dxTPsrzhSSatv3YjFTVu9FRf8U5gjISCTI/mMgt9+bEPHJCDZpzIpBPKVjyq33USUWT2vzy6fPYEu9vprrltJSer/w2l+4L6UUy/ws+6g2tbmhBFpVGcJ+xwpuVSUkoEFC+c9RlifT3uLpk2nAM3Y5+/zxxxG0a5W5KsOhDZwo1v0xGXodmkAP3mutN3kcxbxe/eTePrTMdf/P2WhHQvY2jyYA7j1UGbKGAD6e0cnI+t6xCFALCqKs02lL5+ctv0zEcTTfiCvrlMgrwnEWOqEULzgbzaYWQ+JxmtDMjdPj0eWzx9zZQTTv5KjvKX7eyrVLvpeRVqGmbgbS8jilZVf+BbsbwSdlkJM7KIlF+mUQaR3/9WJvM3SfSP7meV7KKrSuSq2bBtoIVzFVj4B30Hy4cvQHd+n3QtW7u2rWeZXnYGwnw3Ps5bl84A1/DOujYoUF2d528RfJs+0RUbzwMZ0MKugkpQXKIH16+eIEXhd78EZNr7lP+0hPjkKqpC8Pyprn713UrY8aOc3hx6zc0Miu4QayiZ49WLTvCUnQP+zwuI0Zegf0YWSzO7d2HFzJ7tGjeGk4f1CplkIjfV50q9RiL5WPaIOvuWsxecxaJeXuPtF0wZfNpvLy3Ak0tPz7VQBlT98kIFYshzrUl4fjsztBvMhq3o0R59omRevBHWH+FKq4s1RsbJo3GrNNiTNixHXO7VVLety7KREJaMmTlLWFm+P49irw80KxGC8w//+E8HF0Lc1hqCpGRLiz4nutXYNLgJzwISv/gXH1s8zk2D9WVjjHPQ5iC6DgpdLRtuPf//sTH3l4P9yotsebf9yPaciHu/adIYaxrBROF2rq6bVV0bOwOnbjz2HroX66uX4B0Pxz3OIYwzdro9l0jmH8wYofLs6K31502moz+Fb/1rwQfz9+wbPe/H9xHk705i871mmOKhxefkj9N61bYFqnk3B2YisoG32HLw5gP9qUmbkML84KKRhXoWprBgssjmWnC7ChS1MwaT8CTkIwPXu/Httees1C5ML1/gmREx8ugq23L5RE+jSOKuoGfGjfDD388VH4/UyZEerKMyyMWMPryeUJfTTEGNjVYurrAxJzw9PgW7LuVjOZ92sMxb1lqagc3Yw34396H3Ue84OzeER1qW/M7hYiIiESaoRms9Aq6XZuAYyObwa1mTdQs9NYSv58ILERBJkV8VDjIUAeW1nlKFlEiXnpxATJDisKNJNZG7Z6DMeg7ezzcugyztt5EUn4vQJaIm5sXYtGWB7Bs3hcj+9cpeGCDiiV6TluI8e4muLJhPtYe90KuHgNxMry41xuVzr3ez8kNKqpQU1eHep5NTT7vSL5P7cN96qpfIdul+mLz5B8w83Aqfty0A0v61873Bj4JUhHNVURQ3gIWCiN0kmJCkZiqAzvzD++z6FuXg62lGuIjkgq4l/uV5HeuPrKpcR9YobJYchz8EgAtczuYKGSYpIgwhKsbwFax60mRNAWxQWkwMSsHs1xdWWZoO2oEOlVRw7mVs7H0yMvsEXFKCcJxdPmvWH8qCFX7DEXflk4FFzrazhi1dBn6lk/BvuWLsOduVK5rMiUuDPHJ6rC1KEyJrQJVJec159wp3yef/1iY82pgUx425iqIiyzFeYS71gqVR1K4PJKoAm1zGxgr3NLMSoxAeKQARjZ5KvBvSVMRG5wGM/PyMCtFo6yKMbAB5raOMLRQhfflS/AzbouB7V0/POma5qjuYo60O5dxPcEE33XuAJe3NQFpFmJSRNA1tuJOfkEflyHcf16FDWvXYm2ht9/Rp4lNITJCJiKDQqFuYIFyeS4uaexjLBk/EWvP+RW6pq9pXR+/LJyPro4R2D11FIZPWI4Td14hMjYBSUlJSIyLwKs7p7F0ykgMn7oFwc6dMH/pz3C3KSi451C1aIgZa+bD3fA1Ni1egQu+7wfxy+KeYfmkiVh50kvpyLhSSRAGj0VTMPdAAoYuW4OZPSpBkJCAxMTEnE3+c2oGJPwHIEqLRUJUOqwd7GCqMPctjTtOQiYwN/7wPOpYVUSVWgbwDw5AWkGtaJ62lkb2BaWqrsFVV0oPcVw4XnO5UcuFC2zvMrcEiUkpkOrZwFpfeT6SxgXh5RshHJu5IW8DxrByRyxZOg0NVB/gt58GY8zsP3H5sR9iEhK5PJuI+OgQPL58ANN/GoKflp2EtNEoLJk9FJWMClfk6Dp1wMK1P6Ni6hUsWbgJj+PeV8cykhMhEhtyn1vJlqS61pVQ2U0PfsFB4OqFhaOtxVXsuA9BVR1apSiTCGPC8FqFuDoFl0f4NDmh/POUacLIWnnlRxwbgJchElRoWuOD+9Qliu+SLB6x92hgA3uu1a5JLedfy31v6h0xPdowiLjTSAbOQ+lMqMJq9BkBtKhXPao3YidF5bOGXfEIo01dnMm4yiA6F5z7haR7HaQ2zg1oyv7X9Gm3kUQU+egYTenmlt03bmhdgapWdyOuJUluNapSBWuj7PNWtcNk8nwcSR+8fUEILRspf24dWn0pnE9UlEn/bBlNdtAg14FryCs5556GwO8YdapYn8b99d9XvG+ZRqfmdiF99x/pXuxXupn2liSWTi0eSNbyFdJVzahKvUbUsG4tcnNzy73VGkJ7/sm5Z5n4fD91NDeiJtOOUNK7Eyeku4t7kI31CLoRrywzZdLNFUPItfXPdF/pfrlMen3tMK1YuIh+W76M5k3uQ1xVjZzcB9LcZctpyeJltHX/TYr9eif2s8Re/41MjQ2p6cq7Cp9xGh2Z0ZrKNZ1Jz/K5BxN1+Tdyte9Ee7zyWwk1k/yvbKdBTeT3ydTJ3MGFqnPnXp5na1SrTA5muly6ATUdspiu+ClZ2TzuIQ1vLS8P2tNhXyUrCXKf9dHZnckAetToFw+Kzi4KJPR04zAqZ/Y9nQz5/PUj/Q9NoyoGLWnbky9Z1TODrv7Wn1zaTafHH1kwMe7lNdq2YjEtWbaMls2bRE2ddQguzWjiPO7xkiW0YtthehWXXx4rHtFXFpGBkRG1XPuvQrklI5+DP5OF43e07YXyhecjzi8iF4dudMCvdK3lWawtNphYo55dOdiYtcXIAQ3z6TpSh13VarBysEWNbr3Q1OF9h7xMlIrkOAksjC2hU4iRWEVGlo44/0QY6zvCzjz3C8lIjENGphYszA0K1wXwjgZs6vXCqoNX8YSr6f46rA3sZcl4ExiIaHUHtB48Awcu3MNVz9XoU9fmwxGhKqrQNTCBmZkJdJSsyCGfqNx46Fz8PrMTBFf+xpbTr7LvC2QmxyI9XYN7vYZftfkulYiQJSqCJabS43DvdQCyDE1hZixDhM8rvPIJUJhkz28BIYhNzKnlC5NikRyvDif5nLR3J07AteKSIHK0grmesszEna/evVEt1Qen7wbxaXlJEXv/Gnb/uQkb1q3HNo+bSDIzRarvFWxfvw4bN/2JQ8cDICjeq+wDqQmxXP4wRFUXm/efMWUikWvFGurZcfmYT8slGhc8LsGw+zB0rZzfkDoduLT5ATvP3sWdU1vxU4+GME6NRGBQCNKNKqHnuKU4ces+Tu2YgzauSqaZqGjAwNiMy7PG0FLWb69mgR5TlmLesNoI2r8Zu2+Hc4liJMckIsveHBYGH9ysKzSSSiDMEkH6RRlUF02//x6VEl7jdK7vQcxNEP0ch3Ztwsb167F+2yH4pOjCLNkbh7dxjzduxC7P24gpnnnL+ZLnEVVVI1R1VuyxkiI5MRmqRvYoZ6SsdRyJsx5XYNprKDq5lKJ+SDk+wH0TsiIv01DXqjRw+b18WnvFJPYa9dYzoVrDDlHeeqjvgSlU0bQt7XpeCr+TQonAozOpqsl3tEXJty58vky6s306tR6zgl68G85aUqTktWcy18KrRUsuhvBpHFkE/dmzDln2WpPP9//JpdGt1SOooXz0aVpJv4/PJaQ7y3qQqWEr+lux5SX2p8XNK1GjwYeUfndczI211LzGIDr4ulDDLotRHO0b2ZzM284jny/4nrawq5toYJsJdNKn8N/0oFwqXf99KDXstYy8S+8XEBQgi24u6kImxm1pv6/iMNQMOjW/K9m6/0KPlTS4o66spKY1hpKnd+n4GjFFJVyX/DTChChExIthXM7sC1ef/zKSuFB4q5uhdju3PN+ELUZqXAoEVlwtVMl9m9JHgrS4ZGRYcK0f06/Z4a+Dpj+sxNUtM1AjZzhrCRIiIjwaWS7VUaeywrqGGUnwSxPC1MEGhvm2/vXRfMxsjDAPxPp15xH/tVufxSINYS8joO/SELXLK7S8MuMQ9iYZulyLNe/QmczQ61i/+xG+WzAdfaoWZthlMRKmISglHXr2NjD5/AYb7FuPx4ErG9G9UmEGoHyMAVqOn4OhRj5cHrmYZz7ntyIVoVweMajYCLUcFMoBykBMWByM9aw/aNWnB1/B+r+fot2S6ehV+euu4/k1fFOBTRAVjlCZJsztjD+xm+8rs2yEpbu2Y04nFz7hrSxERsUi3cQUlgWO2iwNhIiKikGKsQmsvmT5lFJNHa6dx2Pv1llobq/QXZIWi5BYGcpbWuKjc+j1XPDDqumoL7iLjetPITi9sEOCSgsd1B21EDu3/gjFHkVpYiQCkqQwdDJXqCQSEryvYcufp2HUfSqm96pZ+lbUyEhASJQItmZW0C0tL06/In5aMx01U29g44YzCM381mpAemjw4xLs3DwalRR7FCVJCA+Ih5axNQzfVSIIca+uYMuWczDrPR1Tu1cvYKGMkqEib7bxP5d6opRI+AWnwtLFlQscpfB0SqKwaUx/rErsgOv7Z8G5wNn+JUwah52T+mNhSDNc9ViIUljxKjqiVAQEhEPVvBwqWOoXWFGSpofj9olLiDaviY7t68H4m6oSfoiyEuHrHQ4dx0oob5JTCROlBuHc7vNQb9IJres54RMXoSkeknS8CQiDxNAOzrZf977wl5KkheL28SuIsa6Nzu3qoICFS0o/EiDCNxDpuvZwKWecHcCEKf5cHrkEraZd0KquI3RK6Xv8pgJbqScIxrqpU3HNsD/2/NYX5qWuupuHMBx/Tp+M02o9sXflYFh9QdfO/wWSQCgiaPDD+ssa4t6fSCiDlnZJdvR/42RcHhGX4TzCvT+RqPTnERbYGIZhmDKlLFYqGIZhmP9jLLAxDMMwZQoLbAzDMEyJmTNnDlRUVNChQwckJHydCRPsHhvDMAxTYuRB7a2xY8di8+bN/KPPx1psDMMwTInp168fTExMUK9evezl8L4GFtgYhmGYEnPo0KHsb+VYt24dn/LlWGBjGIZhStyFCxcwfPhw/tGXYYGNYRiGKVHyVpv8uyf79+/Pp3wZFtgYhmGYEjNu3Ljsf7/GoJG32KhIhmEYpkxhLTaGYRimTGGBjWEYhilTWGBjGIZhyhQW2BiGYZgyhQU2hmEYpkxhgY1hGIYpQ4D/AcjY/rgfqQe+AAAAAElFTkSuQmCC\" width=\"438\" height=\"139\"\u003e\u003c/p\u003e\n\u003cp\u003ewhere, \u003cem\u003eg\u003csub\u003ei\u003c/sub\u003e\u003c/em\u003e stands for the genotype of SNP \u003cem\u003ei\u003c/em\u003e in an individual (0, 1 or 2 risk alleles), OR\u003cem\u003e\u003csub\u003ei\u003c/sub\u003e\u003c/em\u003e stands for the allelic OR of SNP \u003cem\u003ei\u003c/em\u003e, and \u003cem\u003ef\u003csub\u003ei\u003c/sub\u003e\u003c/em\u003e stands for the risk allele frequency of SNP \u003cem\u003ei\u003c/em\u003e. OR and allele frequency of each SNP were obtained from the largest published studies. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWe also calculated a weighted genetic risk score (wGRS) for each subject based on their genotypes at significant SNPs and weighted by ORs for recurrence risks obtained from the present study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eStatistical methods\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eQuantitative data were expressed as mean \u0026plusmn; standard deviation (SD). Independent t-tests were employed to analyze continuous variables, while categorical variables were evaluated using the Chi-square test. The associations between SNPs and calcium nephrolithiasis were examined through the Cochran-Armitage trend test. Results were expressed as odds ratio (OR) and 95% confidence intervals (CI). Statistical significance was defined as a P value less than 9.26\u0026times;10⁻⁴ (0.05/54), with P values below 0.05 also considered noteworthy.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA logistic regression analysis was performed to identify factors that predict the recurrence of the disease. To assess the additive genetic effect of the minor allele, allele coding was as follows: 0 for the common allele (reference), 1 for the heterozygous genotype, and 2 for the homozygous genotype of the minor allele. The performance of the genetic risk score (GRS) in differentiating between the two subject groups was evaluated using the area under the receiver operating characteristic curve (AUC). The statistical significance of the difference between the two AUCs was assessed using Delong\u0026apos;s test.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e shows the general characteristics of the case and control samples. The calcium nephrolithiasis cases were more likely to have higher body mass index (BMI), and higher levels of serum calcium and serum uric acid.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe genotype frequencies of 54 SNPs in both case and control groups conformed to the Hardy-Weinberg equilibrium. The minor allele frequency for these SNPs ranged from 0.0082 to 0.5071. \u0026nbsp;Firstly, we first examined the associations between the individual genetic variant and the risk of calcium nephrolithiasis. Nine loci, including rs13006480 at \u003cem\u003eMRPL33\u003c/em\u003e (P=6.189\u0026times;10\u003csup\u003e-3\u003c/sup\u003e, OR=1.321), rs7652589 at \u003cem\u003eCASR\u003c/em\u003e (P=2.663\u0026times;10\u003csup\u003e-2\u003c/sup\u003e, OR=0.8216), rs578595 at \u003cem\u003eWDR72\u003c/em\u003e (P=3.391\u0026times;10\u003csup\u003e-3\u003c/sup\u003e, OR=0.6932), rs77924615 at \u003cem\u003eUMOD\u003c/em\u003e (P=4.165\u0026times;10\u003csup\u003e-2\u003c/sup\u003e, OR=1.256), rs1010269 at \u003cem\u003eBCAS3\u003c/em\u003e (P=5.148\u0026times;10\u003csup\u003e-3\u003c/sup\u003e, OR=0.7728), rs3760702 at \u003cem\u003eGIPC1\u003c/em\u003e (P=7.70\u0026times;10\u003csup\u003e-5\u003c/sup\u003e, OR=1.654), rs17216707 at \u003cem\u003eCYP24A1\u003c/em\u003e (P=1.521\u0026times;10\u003csup\u003e-4\u003c/sup\u003e, OR=4.208), rs12626330 at \u003cem\u003eCLDN14\u003c/em\u003e (P=3.245\u0026times;10\u003csup\u003e-2\u003c/sup\u003e, OR=1.208), and rs755622 at \u003cem\u003eMIF-AS\u003c/em\u003e (P=5.67\u0026times;10\u003csup\u003e-5\u003c/sup\u003e, OR=0.605), showed significant associations with calcium nephrolithiasis (\u003cstrong\u003eTable 2\u003c/strong\u003e). The direction of these associations was consistent with previous GWAS results. Two genetic risk scores were established. Genetic risk score 1 (GRS1) was calculated based on the external ORs of all 35 SNPs from GWAS (\u003cstrong\u003eSupplementary Table 1\u003c/strong\u003e). Genetic risk score 2 (GRS2) was based on ORs in this case-control study of 9 SNPs, which are significantly associated with nephrolithiasis risk. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe mean GRS1 was significantly higher in the calcium nephrolithiasis group compared to the control group (1.49 in nephrolithiasis vs. 1.35 in control, P = 0.002). When participants were categorized according to quartiles of genetic score, the likelihood of calcium nephrolithiasis among individuals in the first, second, third, and fourth quartiles of GRS1 was 50.18%, 50.72%, 57.19%, and 61.15%, respectively (P-trend = 0.024, \u003cstrong\u003eFigure 1a\u003c/strong\u003e). Similarly, the mean GRS2 was significantly elevated in the nephrolithiasis group (9.52 in nephrolithiasis vs. 7.77 in control, P = 0.002). For individuals in the first, second, third, and fourth quartiles of GRS2, the probabilities of calcium nephrolithiasis were 38.6%, 60.8%, 58.5%, and 61.5%, respectively (P-trend \u0026lt; 0.0001, \u003cstrong\u003eFigure 1b\u003c/strong\u003e). The AUC for GRS1 was 0.557 (95% CI: 0.523\u0026ndash;0.591), with a sensitivity of 0.38 and a specificity of 0.716. In contrast, the AUC for GRS2 was 0.590 (95% CI: 0.557\u0026ndash;0.624), with a sensitivity of 0.83 and a specificity of 0.338 (\u003cstrong\u003eFigure 2a\u003c/strong\u003e). These findings suggest that both GRS1 and GRS2 may serve as predictive tools for assessing the risk of nephrolithiasis. To validate these prediction models in an independent cohort, we further analyzed genetic data from 547 nephrolithiasis cases and 504 controls. Compared to the training cohort, GRS1 in the testing cohort showed an AUC of 0.596 (95% CI: 0.562\u0026ndash;0.630), sensitivity of 0.72, and specificity of 0.462, while GRS2 had an AUC of 0.597 (95% CI: 0.563\u0026ndash;0.631), sensitivity of 0.72, and specificity of 0.462 (\u003cstrong\u003eFigure 2b\u003c/strong\u003e). Finally, we assessed the discriminatory capacity of both GRS1 and GRS2 for predicting nephrolithiasis recurrence risk in the training cohort. However, neither GRS1 (P = 0.966) nor GRS2 (P = 0.443) showed a significant deviation from an AUC of 0.50 (\u003cstrong\u003eFigure 3\u003c/strong\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eHence, we analyzed the associations between these SNPs and the recurrence risk of calcium nephrolithiasis. Among the 54 SNPs, only three SNPs of rs7057398 (OR=1.971, P=0.03681) and rs12837024 (P=3.826, OR=0.001722) at \u003cem\u003eCLDN2\u003c/em\u003e and rs7652589 at \u003cem\u003eCASR\u003c/em\u003e (P=0.6715, OR=0.03872) showed significant associations with the recurrence risk of calcium nephrolithiasis (\u003cstrong\u003eTable 3\u003c/strong\u003e). After linkage disequilibrium (LD) clumping, rs12837024 at \u003cem\u003eCLDN2\u003c/em\u003e and rs7652589 at \u003cem\u003eCASR\u003c/em\u003e remained for construction of genetic risk score to predict nephrolithiasis recurrence. We calculated genetic risk score 3 (GRS3), a wGRS, of patients with recurrent and non-recurrent groups. The AUC was 0.552 (95%CI: 0.506 to 0.598), with a sensitivity of 0.35 and specificity of 0.73. The addition of weighted genetic risk score to the traditional risk factors, including gender, age, body mass index, serum creatinine, serum uric acid and serum calcium levels, slightly improved the AUC from 0.552 to 0.574 (95%CI: 0.529 to 0.620), with sensitivity of 0.597 and specificity of 0.545 (\u003cstrong\u003eFigure 4a\u003c/strong\u003e). To verify the prediction model in the testing cohort, we further analyzed the genotypes of recurrent disease cases and non-recurrent disease cases. Compared with the training cohort, the prediction model showed an AUC of 0.578 (95% CI: 0.532 to 0.624), with a sensitivity of 0.614, and a specificity of 0.534 in the testing cohort (\u003cstrong\u003eFigure 4b\u003c/strong\u003e).\u0026nbsp;\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eUp to now, GWASs have reported the associations of the risk of nephrolithiasis with more than 25 loci. Moreover, several case-control studies have also investigated the role of biologically plausible candidate genes of nephrolithiasis. In this study, we investigated the relationship between 54 SNPs in 37 genes, as identified in previous literature, and the susceptibility to calcium nephrolithiasis in the Han Chinese cohort. Our analysis successfully validated associations at nine loci with calcium nephrolithiasis risk, among which rs17216707 at \u003cem\u003eCYP24A1\u003c/em\u003e, rs3760702 at \u003cem\u003eGIPC1\u003c/em\u003e, and rs755622 at \u003cem\u003eMIF-AS\u003c/em\u003e remained significant after Bonferroni correction.\u003c/p\u003e \u003cp\u003eLocated approximately 38kb upstream of CYP24A1, the rs17216707 variant is situated within the gene encoding cytochrome P450 family 24 subfamily A member 1 (CYP24A1), an enzyme responsible for converting active 1,25-dihydroxyvitamin D into its inactive form, 24,25-dihydroxyvitamin D. Loss-of-function mutations in CYP24A1 are associated with autosomal recessive infantile hypercalcemia type 1 (OMIM 126065)[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. A GWAS in British and Japanese populations have identified rs17216707 as a key locus linked to nephrolithiasis. This SNP is further correlated with elevated serum calcium levels and a higher frequency of stone recurrence in nephrolithiasis patients. It is hypothesized that the risk alleles at rs17216707 may impair CYP24A1 activity, leading to disturbances in calcium homeostasis[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. In our investigation, rs17216707 was significantly associated with an increased risk of calcium nephrolithiasis in a Chinese Han cohort.\u003c/p\u003e \u003cp\u003eIn 2015, a GWAS in Icelanders identified a suggestive association of rs7627468 at \u003cem\u003eCASR\u003c/em\u003e with nephrolithiasis[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. \u003cem\u003eCASR\u003c/em\u003e encodes calcium-sensing receptor (CaSR), a G-protein-coupled receptor localized on the apical surface of proximal tubular cells, which is essential for maintaining renal calcium homeostasis. In our research, we identified rs7652589 in CASR as significantly associated with an increased risk of calcium nephrolithiasis in the Chinese Han cohort. rs7652589 is located at the 5'untranslated region of \u003cem\u003eCASR\u003c/em\u003e, which belongs to the regulatory region, and it may modify the transcription and expression of \u003cem\u003eCASR\u003c/em\u003e[\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. It has been hypothesized that the risk allele of rs7652589 might specifically affect gene expression in the kidney and thus influence the ability of CaSR to respond to extracellular calcium, thereby increasing the risk of nephrolithiasis[\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e].\u003c/p\u003e \u003cp\u003ers578595 at \u003cem\u003eWDR72\u003c/em\u003e and rs3760702 at \u003cem\u003eGIPC1\u003c/em\u003e were initially identified as being associated with nephrolithiasis risk in a trans-ethnic GWAS involving Japanese and British populations[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. In the current study, we successfully replicated these associations within a Chinese Han cohort. rs578595 is an intronic variant in \u003cem\u003eWDR72\u003c/em\u003e, encoding WD repeat domain 72 (WDR72). Loss-of-function mutations of \u003cem\u003eWDR72\u003c/em\u003e cause amelogenesis imperfecta (AI), a hereditary disorder characterized by defects in enamel formation, resulting in fragile, discolored, or abnormally shaped teeth. Conversely, missense mutations in WDR72 can result in distal renal tubular acidosis (dRTA), potentially occurring without AI symptoms[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Patients with dRTA may develop complications such as nephrocalcinosis, nephrolithiasis, and reduced renal function. rs3760702 is ~\u0026thinsp;300 bp upstream of \u003cem\u003eGIPC1\u003c/em\u003e, which encodes the Regulator of G-protein Signaling 19 Interacting Protein 1 (GIPC1). Although the mechanism by which GIPC1 polymorphisms contribute to kidney stone formation remains unclear, both WDR72 and GIPC1 are believed to be involved in clathrin-mediated endocytosis, a process crucial for sustained intracellular CaSR signaling[\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003cem\u003eCLDN14\u003c/em\u003e was firstly identified as a significant locus for nephrolithiasis in a 2009 GWAS conducted in the Icelandic population. Subsequently, a trans-ethnic GWAS by Howles et al. [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e] observed a robust association between rs12626330 in \u003cem\u003eCLDN14\u003c/em\u003e and nephrolithiasis risk in British and Japanese populations. In this study, we further replicated the association of rs12626330 with nephrolithiasis in a Chinese Han cohort. \u003cem\u003eCLDN14\u003c/em\u003e encodes claudin-14, a critical component of epithelial tight junctions. Claudin-14 is primarily expressed in the thick ascending limb of the loop of Henle and has been shown to disrupt calcium transport in conjunction with the claudin-16 and claudin-19 complex in the kidney [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Moreover, CaSR can regulate the expression of claudin-14 through a microRNA-dependent mechanism[\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe \u003cem\u003eUMOD\u003c/em\u003e gene encodes uromodulin (UMOD), a protein that is the most prevalent in human urine and serves as a well-known inhibitor of calcium-phosphate crystallization. A GWAS conducted on the Icelandic population identified rs4293393 in UMOD as a susceptibility variant for chronic kidney disease and a protective variant against nephrolithiasis[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Additionally, a trans-ethnic GWAS by Howles et al. [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e] highlighted rs77924615 in UMOD as significantly associated with the risk of nephrolithiasis. Our study corroborated the association of rs77924615 with nephrolithiasis in the Chinese Han cohort. CaSR is believed to regulate UMOD secretion, with mutations that activate CaSR leading to decreased UMOD levels, while inactivating mutations result in increased UMOD secretion. In human subjects treated with cinacalcet, an agonist of CaSR, urinary UMOD secretion was also found to be reduced[\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eFurthermore, we also confirmed the association of rs1010269 \u003cem\u003eBCAS3\u003c/em\u003e and rs13006480 at \u003cem\u003eMRPL33\u003c/em\u003e with calcium nephrolithiasis in Chinese Han population, the loci of which were first identified in the GWASs by Tanikawa et al.[\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e] and Howles et al.[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e], respectively. However, the mechanisms of \u003cem\u003eBCAS3\u003c/em\u003e and \u003cem\u003eMRPL33\u003c/em\u003e polymorphisms in nephrolithiasis remain unclear.\u003c/p\u003e \u003cp\u003ePrevious studies have indicated that rs755622 at MIF-AS is associated with the risk of various kidney diseases, making it a candidate gene for predicting nephrolithiasis risk[\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. In the study of Ma et al. [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e], the rs755622 polymorphism was linked to nephrolithiasis in a Chinese cohort. They suggested that rs755622 may contribute to nephrolithiasis development by modulating the functions of MIF and lncRNA MIF-AS. In our cohort, we found a significant association of rs755622 with calcium nephrolithiasis.\u003c/p\u003e \u003cp\u003eWe evaluated the performance of these significant SNPs, in combination, to predict the genetic susceptibility to calcium nephrolithiasis in Chinese Han cohort. We first calculated GRS1 for each patient based on genotypes of 35 known nephrolithiasis risk SNPs and ORs of these SNPs obtained from an external study. GRS2 was calculated based on these 9 significant SNPs and ORs in the present study. We demonstrated that both GRS1 and GRS2 were informative in estimating the individual risk of calcium nephrolithiasis. Individuals with a higher GRS1 and GRS2 would have higher risk of incidence of calcium nephrolithiasis. Consistent with our results, Paranjpe et al[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e] generated a polygenic risk score from the GWAS statistics in the UK Biobank, which was associated with urolithiasis in the absence of known clinical risk factors, and their results illustrated the complex polygenic architecture of patients with urolithiasis.\u003c/p\u003e \u003cp\u003eUnfortunately, however, neither GRS1 nor GRS2 revealed the recurrence risk among patients with calcium nephrolithiasis. After all, there is little evidence that these loci are associated with stone recurrence and can be used to predict the recurrence of nephrolithiasis. To address this gap, we analyzed the correlation between these SNPs and recurrence risk in nephrolithiasis patients. Notably, aside from rs7652589 at \u003cem\u003eCASR\u003c/em\u003e, most key loci identified in our study showed no significant relationship with calcium nephrolithiasis recurrence. We also identified that rs7057398 and rs12837024 at \u003cem\u003eCLDN2\u003c/em\u003e were associated with the recurrence risk of calcium nephrolithiasis despite lacking a significant link to nephrolithiasis incidence. \u003cem\u003eCLDN2\u003c/em\u003e encodes claudin-2, a tight junction protein predominantly expressed in proximal renal tubular epithelial cells, where it regulates calcium transport through the paracellular pathway[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Claudin-2-null mice have been observed to develop hypercalciuria due to impaired renal tubular calcium transport, leading to papillary nephrocalcinosis, a condition resembling intratubular calcium plugs found in kidney stone formers[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. In a population-based study, Curry et al. [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e] examined 12 SNPs within the \u003cem\u003eCLDN2\u003c/em\u003e locus and identified nine, including rs7057398 and rs12837024, that were significantly associated with nephrolithiasis risk. In our previous study, we explored the differentially expressed genes and potential pathways regulated by \u003cem\u003eCASR\u003c/em\u003e in renal tubular epithelial cells, and we identified \u003cem\u003eCLDN2\u003c/em\u003e as a hub gene regulated by \u003cem\u003eCASR\u003c/em\u003e[\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e].\u003c/p\u003e \u003cp\u003ePresently, very few studies have been reported to assess the association between genetic risk score and recurrence risk of nephrolithiasis. In the study of Zhu et al.[\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e], they identified that five loci, including \u003cem\u003eKCNK5\u003c/em\u003e, \u003cem\u003eRGS14\u003c/em\u003e, \u003cem\u003eSLC34A1\u003c/em\u003e, \u003cem\u003eVDR\u003c/em\u003e and \u003cem\u003eTFAP2B\u003c/em\u003e, were associated with the recurrence risk of nephrolithiasis in a Chinese population. They constructed a nomogram, combining 14 SNPs with several clinical risk factors, which showed higher predictive accuracy than classifier SNPs or clinical risk factors alone. In a population-based study by Cao et al.[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e], 40 independent SNPs were applied to construct a GRS, and their results indicated that their GRS were significantly associated with the incidence risk of nephrolithiasis. Moreover, excessive serum calcium levels appeared to bring additional risk of nephrolithiasis in groups with high genetic risk. In our study, we derived a weighted genetic risk score, GRS3, based on rs12837024 at \u003cem\u003eCLDN2\u003c/em\u003e and rs7652589 at \u003cem\u003eCASR\u003c/em\u003e for the prediction of recurrence risk of nephrolithiasis. Our results demonstrated that GRS3 was effective in discriminating between recurrent and non-recurrent cases in patients with calcium nephrolithiasis, with an AUC of 0.552. The recurrence of nephrolithiasis is associated with several risk factors, including age, gender, BMI, serum creatinine, serum uric acid, serum calcium and parathyroid hormone levels[\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. In our study, improved assessment of recurrence risk of nephrolithiasis was also observed, when GRS3 was added to a more comprehensive clinical model, with an AUC of 0.574. The genetic variations could persist and influence the formation of nephrolithiasis even after lifestyle changes. We assumed that the added value of genetic score in predicting the recurrence risk of nephrolithiasis could have potential clinical value. The genetic risk score model can be used to better determine the need for stringent prevention advice and increasing follow-up frequency postoperatively in calcium nephrolithiasis patients, especially those without traditional risk factors.\u003c/p\u003e \u003cp\u003eHowever, this study has several notable limitations. First, the relatively small sample size may weaken the statistical robustness of our findings, even though significant associations were observed. Second, the AUC of 0.552\u0026ndash;0.574 for GRS3 was relatively low for a prediction tool for the recurrence risk of nephrolithiasis even though the comprehensive clinical model was added.\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eWe replicated 9 loci associated with the incidence of calcium nephrolithiasis in Chinese Han population, most of which are involved in \u003cem\u003eCASR\u003c/em\u003e signaling pathway. GRS based on those significant SNPs could predict the risk of incidence but not recurrence of calcium nephrolithiasis. The weight GRS composed of two recurrence-associated SNPs is significantly associated with the recurrence risk of nephrolithiasis and could add predictive value to traditional clinical risk factors for the recurrence of nephrolithiasis.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eAUTHORS\u0026rsquo; CONTRIBUTIONS\u003c/p\u003e\n\u003cp\u003eWLJ: Conceptualization, methodology, funding acquisition, writing-original draft; ZZJ: Formal analysis, methodology, supervision; GP: Formal analysis; LZY: Formal analysis; LXL: Formal analysis, supervision, visualization; WZ: Writing-review \u0026amp; editing, conceptualization, supervision, funding acquisition.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFUNDING\u003c/p\u003e\n\u003cp\u003eThis project was supported by grants from the National Natural Science Foundation of China (No. 82100807).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAVAILABILITY OF DATA AND MATERIALS\u003c/p\u003e\n\u003cp\u003eThe datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eDECLARATION OF INTERESTS\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eX. 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Devuyst, Claudins: a tale of interactions in the thick ascending limb. Kidney Int 93 (2018) 535-537.\u003c/li\u003e\n\u003cli\u003eI. Paranjpe, N. Tsao, R. Judy, M. Paranjpe, K. Chaudhary, D. Klarin, I. Forrest, R. O\u0026apos;Hagan, A. Kapoor, J. Pfail, S. Jaladanki, F. Chaudhry, A. Vaid, P.Q. Duy, T. Charles Bronfman Institute of Personalized Medicine Genomics, T. Regeneron Genomics, J.C. He, B.S. Glicksberg, S.G. Coca, M. Gupta, R. Do, S.M. Damrauer, G.N. Nadkarni, Derivation and validation of genome-wide polygenic score for urinary tract stone diagnosis. Kidney Int 98 (2020) 1323-1330.\u003c/li\u003e\n\u003cli\u003eM.S. Pearle, D.S. Goldfarb, D.G. Assimos, G. Curhan, C.J. Denu-Ciocca, B.R. Matlaga, M. Monga, K.L. Penniston, G.M. Preminger, T.M. Turk, J.R. White, A. American Urological, Medical management of kidney stones: AUA guideline. J Urol 192 (2014) 316-324.\u003c/li\u003e\n\u003cli\u003eF. Quhal, C. Seitz, Guideline of the guidelines: urolithiasis. Curr Opin Urol 31 (2021) 125-129.\u003c/li\u003e\n\u003cli\u003eC.D. Scales, Jr., G.E. Tasian, A.L. Schwaderer, D.S. Goldfarb, R.A. Star, Z. Kirkali, Urinary Stone Disease: Advancing Knowledge, Patient Care, and Population Health. Clin J Am Soc Nephrol 11 (2016) 1305-1312.\u003c/li\u003e\n\u003cli\u003eK.P. Schlingmann, M. Kaufmann, S. Weber, A. Irwin, C. Goos, U. John, J. Misselwitz, G. Klaus, E. Kuwertz-Broking, H. Fehrenbach, A.M. Wingen, T. Guran, J.G. Hoenderop, R.J. Bindels, D.E. Prosser, G. Jones, M. Konrad, Mutations in CYP24A1 and idiopathic infantile hypercalcemia. N Engl J Med 365 (2011) 410-421.\u003c/li\u003e\n\u003cli\u003eG. Shang, C.A. Brautigam, R. Chen, D. Lu, J. Torres-Vazquez, X. Zhang, Structure analyses reveal a regulated oligomerization mechanism of the PlexinD1/GIPC/myosin VI complex. Elife 6 (2017).\u003c/li\u003e\n\u003cli\u003eI. Shpunt, H. Pratt Aloni, N. Khanukaeva, P. Herskovitz, I. Dror, B. Berkowitz, D. Leibovici, Y. Shilo, The Impact of Radiographic, Metabolic and Demographic Characteristics on Kidney Stone Recurrence. J Pers Med 12 (2022).\u003c/li\u003e\n\u003cli\u003eC. Tanikawa, Y. Kamatani, C. Terao, M. Usami, A. Takahashi, Y. Momozawa, K. Suzuki, S. Ogishima, A. Shimizu, M. Satoh, K. Matsuo, H. Mikami, M. Naito, K. Wakai, T. Yamaji, N. Sawada, M. Iwasaki, S. Tsugane, K. Kohri, A.S.L. Yu, T. Yasui, Y. Murakami, M. Kubo, K. Matsuda, Novel Risk Loci Identified in a Genome-Wide Association Study of Urolithiasis in a Japanese Population. J Am Soc Nephrol 30 (2019) 855-864.\u003c/li\u003e\n\u003cli\u003eG. Thorleifsson, H. Holm, V. Edvardsson, G.B. Walters, U. Styrkarsdottir, D.F. Gudbjartsson, P. Sulem, B.V. Halldorsson, F. de Vegt, F.C. d\u0026apos;Ancona, M. den Heijer, L. Franzson, C. Christiansen, P. Alexandersen, T. Rafnar, K. Kristjansson, G. Sigurdsson, L.A. Kiemeney, M. Bodvarsson, O.S. Indridason, R. Palsson, A. Kong, U. Thorsteinsdottir, K. Stefansson, Sequence variants in the CLDN14 gene associate with kidney stones and bone mineral density. Nat Genet 41 (2009) 926-930.\u003c/li\u003e\n\u003cli\u003eH.R. Toka, K. Al-Romaih, J.M. Koshy, S. DiBartolo, 3rd, C.H. Kos, S.J. Quinn, G.C. Curhan, D.B. Mount, E.M. Brown, M.R. Pollak, Deficiency of the calcium-sensing receptor in the kidney causes parathyroid hormone-independent hypocalciuria. J Am Soc Nephrol 23 (2012) 1879-1890.\u003c/li\u003e\n\u003cli\u003eN. Tokonami, E. Olinger, H. Debaix, P. Houillier, O. Devuyst, The excretion of uromodulin is modulated by the calcium-sensing receptor. Kidney Int 94 (2018) 882-886.\u003c/li\u003e\n\u003cli\u003eX. Tong, J. He, S. Liu, S. Peng, Z. Yan, Y. Zhang, H. Fan, Macrophage migration inhibitory factor -173G/C gene polymorphism increases the risk of renal disease: a meta-analysis. Nephrology (Carlton) 20 (2015) 68-76.\u003c/li\u003e\n\u003cli\u003eY. Urabe, C. Tanikawa, A. Takahashi, Y. Okada, T. Morizono, T. Tsunoda, N. Kamatani, K. Kohri, K. Chayama, M. Kubo, Y. Nakamura, K. Matsuda, A genome-wide association study of nephrolithiasis in the Japanese population identifies novel susceptible Loci at 5q35.3, 7p14.3, and 13q14.1. PLoS Genet 8 (2012) e1002541.\u003c/li\u003e\n\u003cli\u003eL.E. Vaughan, F.T. Enders, J.C. Lieske, V.M. Pais, M.E. Rivera, R.A. Mehta, T.J. Vrtiska, A.D. Rule, Predictors of Symptomatic Kidney Stone Recurrence After the First and Subsequent Episodes. Mayo Clin Proc 94 (2019) 202-210.\u003c/li\u003e\n\u003cli\u003eG. Vezzoli, A. Terranegra, A. Aloia, T. Arcidiacono, L. Milanesi, E. Mosca, A. Mingione, D. Spotti, D. Cusi, J. Hou, G.N. Hendy, L. Soldati, G. network, V. Paloschi, E. Dogliotti, C. Brasacchio, G. Dell\u0026apos;Antonio, F. Montorsi, R. Bertini, P. Bellinzoni, G. Guazzoni, L. Borghi, A. Guerra, F. Allegri, A. Ticinesi, T. Meschi, A. Nouvenne, A. Lupo, A. Fabris, G. Gambaro, P. Strazzullo, D. Rendina, G. De Filippo, M.L. Brandi, E. Croppi, L. Cianferotti, A. Trinchieri, R. Caudarella, A. Cupisti, F. Anglani, D. Del Prete, Decreased transcriptional activity of calcium-sensing receptor gene promoter 1 is associated with calcium nephrolithiasis. J Clin Endocrinol Metab 98 (2013) 3839-3847.\u003c/li\u003e\n\u003cli\u003eG. Vezzoli, A. Terranegra, L. Soldati, Calcium-sensing receptor gene polymorphisms in patients with calcium nephrolithiasis. Curr Opin Nephrol Hypertens 21 (2012) 355-361.\u003c/li\u003e\n\u003cli\u003eS.K. Wang, Y. Hu, J. Yang, C.E. Smith, S.M. Nunez, A.S. Richardson, S. Pal, A.C. Samann, J.C. Hu, J.P. Simmer, Critical roles for WDR72 in calcium transport and matrix protein removal during enamel maturation. Mol Genet Genomic Med 3 (2015) 302-319.\u003c/li\u003e\n\u003cli\u003eK. Xia, Y. Xu, Q. Qi, J. Pan, R. Yao, Q. Huang, Z. Hao, Ae index is an independent predictor of kidney stone recurrence in overweight and obese patients. BMC Urol 23 (2023) 151.\u003c/li\u003e\n\u003cli\u003eC. Xu, R.J. Song, J. Yang, B. Jiang, X.L. Wang, W. Wu, W. Zhang, Klotho gene polymorphism of rs3752472 is associated with the risk of urinary calculi in the population of Han nationality in Eastern China. Gene 526 (2013) 494-497.\u003c/li\u003e\n\u003cli\u003eZ. Yang, Q. Wang, J.F. Zhong, L. Li, Polymorphisms of the VDR gene in patients with nephrolithiasis in a Han Chinese population. Urolithiasis 47 (2019) 149-154.\u003c/li\u003e\n\u003cli\u003eK. Zhang, C. Li, ABCG2 gene polymorphism rs2231142 is associated with gout comorbidities but not allopurinol response in primary gout patients of a Chinese Han male population. Hereditas 156 (2019) 26.\u003c/li\u003e\n\u003cli\u003eZ. Zhou, P. Gao, T. Zhang, Y. Yang, Q. Ding, Z. Wu, L. Wang, Functional analysis reveals calcium-sensing receptor gene regulating cell-cell junction in renal tubular epithelial cells. Int Urol Nephrol 56 (2024) 2165-2177.\u003c/li\u003e\n\u003cli\u003eW. Zhu, X. Zhang, Z. Zhou, Y. Sun, G. Zhang, X. Duan, Z. Huang, G. Ai, Y. Liu, Z. Zhao, W. Zhong, G. Zeng, Predictive value of single-nucleotide polymorphism signature for nephrolithiasis recurrence: a 5-year prospective study. Clin Kidney J 16 (2023) 2205-2215.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1 Baseline characteristics of calcium nephrolithiasis cases and controls.\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003eCases\u003c/p\u003e\n \u003cp\u003e(n=1157)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003eControls\u003c/p\u003e\n \u003cp\u003e(n=1008)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003eP-value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eGender, male/female, n\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e786/371\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e705/303\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.302\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eAge(years)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e50.47\u0026plusmn;12.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e49.98 \u0026plusmn; 12.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.431\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eBody mass index(kg/m\u003csup\u003e2\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e24.76\u0026plusmn;3.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e24.28 \u0026plusmn; 3.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eDiabetes, yes/no, n\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e156/1001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e121/887\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.304\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eHypertension, yes/no, n\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e408/749\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e350/658\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.792\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eSerum creatinine (\u0026mu;mol/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e85.19\u0026plusmn;41.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e83.64 \u0026plusmn; 23.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.331\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eserum uric acid (mmol/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e0.360\u0026plusmn;0.088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e0.353 \u0026plusmn; 0.077\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.083\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eSerum calcium (mmol/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e2.26\u0026plusmn;0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e2.27 \u0026plusmn; 0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.062\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eSerum magnesium (mmol/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e0.91\u0026plusmn;0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e0.89 \u0026plusmn; 0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.625\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eSerum phosphorus (mmol/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.13\u0026plusmn;0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.14 \u0026plusmn; 0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.293\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eSerum albumin (g/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e42.11\u0026plusmn;4.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e41.86 \u0026plusmn; 4.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.217\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eSerum triglycerides (mmol/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.59\u0026plusmn;0.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.62 \u0026plusmn; 0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.461\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003eSerum cholesterol (mmol/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e4.60\u0026plusmn;1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e4.65 \u0026plusmn; 1.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 98px;\"\u003e\n \u003cp\u003e0.410\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2 Results of association analysis for calcium nephrolithiasis in Chinese Han population.\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 47px;\"\u003e\n \u003cp\u003eCHR \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003eSNP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003ePosition\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eRegion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 89px;\"\u003e\n \u003cp\u003eGene\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003eMinor Allele\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003eMajor Allele\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003eMAF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 105px;\"\u003e\n \u003cp\u003eP-value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e95%CI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers6667242\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e21826566\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1p36.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eALPL\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2696\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.08014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8391\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6893-1.021\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers10917002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e21836340\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1p36.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eALPL\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.7836\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9747\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8119-1.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1256328\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e21896767\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1p36.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eALPL\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.3372\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9046\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7372-1.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1260326\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e27730940\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2p23.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eGCKR\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4475\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.5465\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9498\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8032-1.123\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers780093\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e27742603\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2p23.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eGCKR\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4607\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4935\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9433\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.798-1.115\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers13006480\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e27987221\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2p23.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eMRPL33\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.006189*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.321\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e1.082-1.613\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers13003198\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e234257105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2q37.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eDGKD\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.9378-1.338\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7652589\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e121889088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e3q13.33-q21.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eCASR\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3565\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.02663*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8216\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6904-0.9776\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7627468\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e121946099\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e3q13.33-q21.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eCASR\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4708\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.3508\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9196\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7711-1.097\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1481012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e89039082\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e4q22.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eABCG2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3082\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4219\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9287\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7753-1.112\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers2231142\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e89052323\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e4q22.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eABCG2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3148\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.584\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9512\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7951-1.138\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers12654812\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e176794191\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e5q35.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eSLC34A1\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2787\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.3751\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.089\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.9021-1.314\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers56235845\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e176798040\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e5q35.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eSLC34A1\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4294\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.096\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8729-1.377\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers11746443\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e176798306\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e5q35.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eRGS14\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1803\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.433\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.092\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8761-1.362\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1544935\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e39124448\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6p21.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eKCNK5\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1588\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.6625\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9506\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.757-1.194\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1155347\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e39146230\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6p21.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eKCNK5\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1607\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.787\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.816-1.308\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers3798519\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e50788778\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6p12.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eTFAP2B\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2431\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2424\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.9219-1.379\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers6928986\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e131323992\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6q23.1-q23.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eEPB41L2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3838\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.6641\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9615\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8056-1.148\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers77648599\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e160624115\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6q25.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eSLC22A2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.01661\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.6164\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8489\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.4468-1.613\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers12539707\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e27626165\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7p15.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eHIBADH\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.08155\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.8615\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.028\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7559-1.397\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers12666466\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e30916430\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7p14.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eAQP1\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.08964\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9143\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6865-1.218\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers6975977\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e30917831\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7p14.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eINMT-FAM188B\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.09262\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4533\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8963\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6731-1.193\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7456421\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e139415775\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7q34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eHIPK2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2917\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8869\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7379-1.066\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers6464214\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e139454165\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7q34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eHIPK2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.295\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.1966\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8874\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7402-1.064\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers2058265\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e139462249\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7q34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eHIPK2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2949\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2113\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8908\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7431-1.068\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers4529910\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e111243102\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e11q23.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003ePOU2AF\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4197\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.6096\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.046\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8795-1.245\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers731236\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e48238757\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e12q13.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eVDR\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.04754\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.3389\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8328\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5721-1.212\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7975232\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e48238837\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e12q13.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eVDR\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2779\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.6037\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.051\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.871-1.268\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers3752472\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e33629393\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e13q13.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eKlotho\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.07241\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.3429\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8587\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6267-1.177\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7328064\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e42746118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e13q14.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eDGKH\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4725\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.5258\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9471\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8008-1.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1037271\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e42779410\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e13q14.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eDGKH\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4577\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.7279\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9701\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8176-1.151\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers578595\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e53997089\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e15q21.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eWDR72\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1285\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.003391*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.6932\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.542-0.8865\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers77924615\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e20392332\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e16p12.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eUMOD\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.04165*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.256\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e1.008-1.565\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers35747824\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e20393308\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e16p12.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003ePDILT\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1978\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.1184\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.189\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.9566-1.479\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers889299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e23381914\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e16p12.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eSCNN1B\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.359\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.09401\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8606\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.722-1.026\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7206790\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e53797908\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e16q12.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eFTO\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.06073\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2332\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.283\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8508-1.936\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1010269\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e59448945\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e17q23.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eBCAS3\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3585\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.005148*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7728\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6451-0.9259\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers2079742\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e59465697\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e17q23.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eBCAS3\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4808\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2024\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8775\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7177-1.073\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers2286526\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e59472057\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e17q23.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eLOC645722\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3635\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.682\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9614\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7964-1.161\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers4793434\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e70352537\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e17q24.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eSOX9\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.353\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.5581\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9487\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7956-1.131\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers74956940\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e14571966\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e19p13.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003ePKN1\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2069\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.6566\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8471-1.301\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers3760702\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e14588237\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e19p13.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eGIPC1\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2161\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e7.70E-05**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.654\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e1.287-2.126\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers2043211\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e48737706\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e19q13.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eCARD8\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.5051\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.5121\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.058\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8939-1.252\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers13041834\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e52703284\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e20q13.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eBCAS1\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2209\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.3292\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9056\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7419-1.105\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers6123359\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e52714706\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e20q13.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eBCAS1\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4045\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2969\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8899\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7146-1.108\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers17216707\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e52732362\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e20q13.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eCYP24A1\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.03361\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.0001521**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e4.208\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e1.879-9.425\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers219780\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e37833307\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e21q22.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eCLDN14\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.0008197\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.8924\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8261\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.05161-13.22\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers12626330\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e37835982\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e21q22.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eCLDN14\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.5071\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.03245*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.208\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e1.016-1.436\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7277076\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e37836973\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e21q22.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eCLDN14\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.417\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.05143\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.837\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6998-1.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers13054904\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e23410918\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e22q11.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eBCR\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.03884\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.7059\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.089\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6996-1.695\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers755622\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e24236392\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e22q11.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eMIF-AS\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1273\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e5.67E-05**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.605\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.473-0.7739\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7057398\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e106144529\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eXq22.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eCLDN2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3614\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.5594\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9273\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7197-1.195\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers12837024\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e106154233\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eXq22.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eCLDN2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2586\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8537\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6488-1.123\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers73247968\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e106155095\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eXq22.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cem\u003eCLDN2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1564\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.191\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5751-1.117\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAbbreviations: Chr., chromosome; CI, confident interval; MAF, minor allele frequency; OR, odds ratio; SNP, single-nucleotide polymorphism. * P \u0026lt; 0.05. **P＜0.05/54\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3 Results of association analysis for recurrent calcium nephrolithiasis in Chinese Han population.\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 47px;\"\u003e\n \u003cp\u003eCHR \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003eSNP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003ePosition\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eRegion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 89px;\"\u003e\n \u003cp\u003eGene\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003eMinor Allele\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003eMajor Allele\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003eMAF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 105px;\"\u003e\n \u003cp\u003eP-value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eOR\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e95%CI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers6667242\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e21826566\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1p36.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eALPL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.5475\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8667\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5436-1.382\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers10917002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e21836340\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1p36.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eALPL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2871\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.3406\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8236\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5524-1.228\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1256328\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e21896767\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1p36.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eALPL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2202\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.09596\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.514\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.9266-2.475\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1260326\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e27730940\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2p23.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eGCKR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4419\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4284\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8627\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5984-1.244\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers780093\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e27742603\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2p23.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eGCKR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4511\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.1733\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7761\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5385-1.118\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers13006480\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e27987221\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2p23.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eMRPL33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.8098\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9512\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.633-1.429\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers13003198\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e234257105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2q37.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eDGKD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3969\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2411\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7943\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5401-1.168\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7652589\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e121889088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e3q13.33-q21.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eCASR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3457\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.03872*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.6715\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.4597-0.981\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7627468\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e121946099\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e3q13.33-q21.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eCASR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4644\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.172\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7587\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5102-1.128\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1481012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e89039082\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e4q22.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eABCG2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3089\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.8999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9751\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6579-1.445\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers2231142\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e89052323\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e4q22.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eABCG2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.8259\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.957\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6471-1.415\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers12654812\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e176794191\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e5q35.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eSLC34A1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.263\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.1591\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7533\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5075-1.118\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers56235845\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e176798040\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e5q35.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eSLC34A1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1883\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.245\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7601\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.4782-1.208\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers11746443\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e176798306\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e5q35.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eRGS14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1713\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2279\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7577\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.4821-1.191\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1544935\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e39124448\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6p21.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eKCNK5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.142\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.7565\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9217\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5506-1.543\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1155347\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e39146230\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6p21.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eKCNK5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1498\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.6662\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8966\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.546-1.472\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers3798519\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e50788778\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6p12.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eTFAP2B\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2549\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.05912\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.592\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.9792-2.587\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers6928986\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e131323992\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6q23.1-q23.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eEPB41L2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.369\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4398\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.853\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5697-1.277\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers77648599\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e160624115\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6q25.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eSLC22A2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.01447\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4911\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.6313\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.1686-2.364\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers12539707\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e27626165\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7p15.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eHIBADH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.09077\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.123\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.868\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8344-4.183\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers12666466\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e30916430\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7p14.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eAQP1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.07798\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.7587\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.4676-1.74\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers6975977\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e30917831\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7p14.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eINMT-FAM188B\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.0836\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.8011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.095\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5416-2.213\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7456421\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e139415775\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7q34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eHIPK2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2723\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.7844\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6975-1.611\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers6464214\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e139454165\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7q34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eHIPK2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2795\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.726\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.078\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7094-1.637\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers2058265\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e139462249\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e7q34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eHIPK2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2793\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.7291\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.077\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7089-1.635\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers4529910\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e111243102\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e11q23.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003ePOU2AF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4141\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.08552\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7067\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.4753-1.051\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers731236\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e48238757\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e12q13.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eVDR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.0581\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.07512\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e2.817\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8571-9.259\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7975232\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e48238837\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e12q13.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eVDR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2706\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.8483\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.961\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6392-1.445\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers3752472\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e33629393\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e13q13.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eKlotho\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.08525\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.1136\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.988\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8357-4.729\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7328064\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e42746118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e13q14.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eDGKH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.5078\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4471\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8667\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5992-1.254\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1037271\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e42779410\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e13q14.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eDGKH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4281\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4962\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8754\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5966-1.284\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers578595\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e53997089\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e15q21.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eWDR72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1117\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.6338\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8636\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.4723-1.579\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers77924615\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e20392332\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e16p12.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eUMOD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.5305\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.163\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.725-1.866\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers35747824\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e20393308\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e16p12.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003ePDILT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.473\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.192\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7374-1.927\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers889299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e23381914\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e16p12.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eSCNN1B\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3777\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.9842\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9962\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6838-1.451\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7206790\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e53797908\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e16q12.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eFTO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.04789\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4498\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7294\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.3208-1.658\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers1010269\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e59448945\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e17q23.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eBCAS3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3491\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.9295\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6697-1.551\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers2079742\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e59465697\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e17q23.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eBCAS3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4675\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.7811\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9431\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.6239-1.426\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers2286526\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e59472057\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e17q23.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eLOC645722\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3702\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.7372\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.075\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7036-1.644\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers4793434\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e70352537\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e17q24.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eSOX9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.341\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.6571\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.092\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7397-1.613\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers74956940\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e14571966\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e19p13.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003ePKN1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2042\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.0863\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.6763\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.4317-1.059\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers3760702\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e14588237\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e19p13.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eGIPC1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2209\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2761\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7818\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5017-1.218\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers2043211\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e48737706\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e19q13.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eCARD8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.5266\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.06909\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.414\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.9722-2.057\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers13041834\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e52703284\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e20q13.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eBCAS1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.2167\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.4599\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.192\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.748-1.899\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers6123359\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e52714706\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e20q13.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eBCAS1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.4143\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.766\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.093\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.608-1.965\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers17216707\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e52732362\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e20q13.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eCYP24A1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.02752\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.9453\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.9623\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.3206-2.888\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers219780\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e37833307\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e21q22.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eCLDN14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers12626330\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e37835982\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e21q22.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eCLDN14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.5131\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.1683\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.304\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.8934-1.903\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7277076\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e37836973\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e21q22.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eCLDN14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.413\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.5159\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.8794\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.5966-1.296\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers13054904\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e23410918\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e22q11.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eBCR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.03727\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.6153\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.316\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.4494-3.855\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers755622\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e24236392\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e22q11.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eMIF-AS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.1207\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.3318\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e0.7509\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.4203-1.341\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers7057398\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e106144529\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eXq22.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eCLDN2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.375\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.03681*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.971\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e1.034-3.759\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers12837024\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e106154233\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eXq22.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eCLDN2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.3281\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.001722*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e3.826\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e1.573-9.305\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003ers73247968\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e106155095\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eXq22.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 89px;\"\u003e\n \u003cp\u003eCLDN2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e0.163\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 105px;\"\u003e\n \u003cp\u003e0.2186\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e1.752\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e0.7102-4.323\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAbbreviations: Chr., chromosome; CI, confident interval; MAF, minor allele frequency; OR, odds ratio; SNP, single-nucleotide polymorphism. * P \u0026lt; 0.05\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"calcium nephrolithiasis, recurrence, single nucleotide polymorphism, Chinese Han population, genetic risk score","lastPublishedDoi":"10.21203/rs.3.rs-6305755/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6305755/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003eBackground\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e: \u003c/em\u003eWe aimed to evaluate susceptibility loci for nephrolithiasis in the Chinese Han population and assess validated loci’s contributions to genetic risk scores in predicting the incidence and recurrence risk of calcium nephrolithiasis.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eMethods\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e:\u003c/em\u003e The association of each single nucleotide polymorphism (SNP) with incidence and recurrence of calcium nephrolithiasis was analyzed. We genotyped 54 SNPs in 1,157 patients with calcium nephrolithiasis between April 2011 and September 2021 at Huashan Hospital of Fudan University. Genetic scores were computed for each individual by incorporating odds ratios (ORs) and allele frequencies of SNPs associated with increased risk.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eResults\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e: \u003c/em\u003eNine loci were associated with the risk of calcium nephrolithiasis. Among them, rs17216707 at CYP24A1 (P=1.521×10^-4, OR=4.208), rs3760702 at GIPC1 (P=7.70×10^-5, OR=1.654), and rs755622 at MIF-AS (P=5.67×10^-5, OR=0.605) were significantly associated after Bonferroni correction. GRS1 was calculated based on 35 SNPs from GWAS, and GRS2 was based on 9 associated SNPs. The AUC of GRS1 (0.557, 95%CI: 0.523–0.591) and GRS2 (0.590, 95%CI: 0.557–0.624) were similar. Neither GRS1 nor GRS2 showed discrimination ability for recurrence risk. Significant associations of rs7057398 (OR=1.971, P=0.03681) and rs7652589 (P=0.6715, OR=0.03872) with recurrence risk were observed. GRS3 had an AUC of 0.552 (95%CI: 0.506 to 0.598), improved to 0.574 when combined with a clinical model.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eConclusions\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e: \u003c/em\u003eGRS based on significant SNPs could predict incidence risk but not recurrence of calcium nephrolithiasis. The weight GRS from two recurrence-associated SNPs significantly correlated with recurrence risk and could enhance predictive value for traditional clinical risk factors.\u003c/p\u003e","manuscriptTitle":"Genetic Risk Scores from Multiple Single Nucleotide Polymorphisms Reveal Genetic Susceptibility and Recurrence Risk of Calcium Nephrolithiasis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-17 10:37:14","doi":"10.21203/rs.3.rs-6305755/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a34717b3-a1a0-45c9-8d8b-de5ed5f41413","owner":[],"postedDate":"April 17th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-11-26T17:38:11+00:00","versionOfRecord":[],"versionCreatedAt":"2025-04-17 10:37:14","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6305755","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6305755","identity":"rs-6305755","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}