The molecular characterization of seven novel GLI family zinc finger 3 (GLI3) variants in Chinese families with limb malformations

The molecular characterization of seven novel GLI family zinc finger 3 (GLI3) variants in Chinese families with limb malformations | 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 The molecular characterization of seven novel GLI family zinc finger 3 (GLI3) variants in Chinese families with limb malformations Siyuan Tao, Xuyu Gu, Xiaodong Wang, Xiaofang Shen, Xiuli Zhao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7091124/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 GLI family zinc finger 3 (GLI3) is a transcription factor involved in limb development. GLI3 gene variants have been shown to be associated with several human congenital limb malformations, including Greig's head polydactyly and syndactyly, Pallister–Hall syndrome, non-syndromic postaxial polydactyly (PAP-A/B), and preaxial polydactyly type IV (PPD IV). The aim of this study was to identify GLI3 gene variants in ten Chinese families with limb malformations. Methods Ten Chinese families with limb malformations were recruited. Variant screening in probands was then performed using next generation sequencing, with candidate pathogenic variants verified by polymerase chain reaction (PCR) combined with Sanger DNA sequencing. Variant pathogenicity was evaluated using bioinformatics, evolutional conservation, and disease and mutant allele co-segregation approaches. The biological effects of missense variants were predicted by three-dimensional protein conformation analysis. Results Ten different GLI3 variants were identified, including two missense variants: c.1063G > A (p.Val355Ile) and c.1489C > A (p.Leu497Ile), four nonsense variants: c.2374C > T (p.Arg792*), c.2008C > T (p.Gln670*), c.1096 C > T(p.Arg366*), and c.2029C > T(p.Gln677*), three small deletions: c.600delC (p.Tyr200*), c.1880_1881del(p.His627Argfs*48), and c.811_812delCT(p.Leu271Serfs*5), and a large gross deletion g.42061081_42069739. Seven of these ten variants were not recorded in the Human Gene Mutation Database (HGMD). Conclusions Ten GLI3 variants were successfully identified in families with different limb malformations, and indicate clinical and allelic GLI3 heterogeneity-related limb malformations. This work expands the GLI3 gene-variant landscape and associated clinical disease manifestations, and provides solid evidence for genetic counseling and prenatal gene diagnostics in affected families. GLI family zinc finger 3 (GLI3) limb malformations next generation sequencing novel variant Figures Figure 1 Figure 2 Figure 3 Figure 4 Introduction Congenital limb malformations are a group of limb anomalies, present at birth, that primarily affect the form and function of the hands and feet. The malformation can be isolated or part of a syndrome, and may be caused by genetic or environmental factors[1]. Polydactyly is one of the most common limb malformations in humans. The global neonatal prevalence is approximately 0.03–0.36%[2]. Most families affected by polydactyly exhibit autosomal dominant inheritance patterns, while others show autosomal recessive inheritance patterns[3]. Non-syndromic polydactyly can be categorized according to the location of the finger (toe) deformity, as preaxial polydactyly (PPD), postaxial polydactyly (PAP), and central polydactyly, with PPD the most common and central polydactyly the least common syndrome[4]. In human limb formation, embryonic cells initially develop into limb buds, followed by bones, blood vessels, nerves, and muscles, and eventually a hand or foot is generated with a specific shape and number of legs[5]. Limb development is a complex process that requires a balance between cell proliferation, cell cycle progression, cell fate determination, and cell differentiation under finely controlled multilayered regulation[6]. Variants in any gene can lead to polydactyly or other limb deformities[7]. Chromosome 7 has now become a variant localization hotspot in limb malformations[2]. GLI family zinc finger 3 ( GLI3 ) is an evolutionarily conserved gene located on human chromosome 7p13 and consists of 14 exons[8]. Its mRNA is 8.5 kb long, encodes a polypeptide chain of 1580 amino acids containing five highly conserved tandem zinc finger structures with specific DNA sequence affinities[9], and ultimately encodes an important zinc-finger transcription factor implicated in early vertebrate limb development[10]. The transcription factor is a member of the Hedgehog (Hh/HH) signaling pathway and has important roles in early limb development in animals. Under normal conditions, GLI3 is processed to the long GLI3A peptide form with transcription-promoting properties, and has important roles regulating human limb bud development, particularly in the anterior-posterior axis. However, under certain pathological conditions, the gene is processed to the shorter GLI3R peptide form, which exerts inhibitory transcriptional effects[11]. The GLI3 -encoded protein binds to specific DNA sequences via its DNA-binding region and regulates the switching on/off of certain genes[12]. Variants in different GL13 structural domains can lead to different congenital disorders, including Greig cephalopolysyndactyly syndrome (GCPS; MIM175700), Pallister–Hall syndrome (PHS; MIM146510), non-syndromic PAP (PAP-A/B; 174200), and PPD type IV (PPD-IV; MIM174700)[13]. In this study, we collected ten Chinese families with limb malformations. Candidate variants were identified by next generation sequencing and verified by Sanger sequencing. We identified seven new GLI3 variants. Concurrently in affected individuals in the family, while no variants were found in unaffected individuals. Bioinformatics analyses, conservative predictions, and three-dimensional protein simulations suggested that these GLI3 variants may be causative variations for limb malformations in these families. Materials and methods Clinical examination and genomic DNA isolation Patient clinical phenotypes were confirmed by clinical examination and radiographs. Peripheral blood samples (3–5 mL) were collected from all available family members and genomic DNA was extracted using standard sodium dodecyl sulfate protease K-phenol/chloroform methods[14]. Next generation sequencing For whole exon sequencing, exome capture was performed using an Agilent SureSelect Human All Exon kit (Agilent Technologies, Wilmington, DE, USA). DNA was fragmented into approximately 150–300 base pair (bp) lengths by ultrasonic treatment. Subsequently, a capture DNA library for sequencing was established using the HiSeq 2000 platform (Illumina Inc., San Diego, CA, USA). Raw data collection, including error assessments and base calling, was accomplished using the Illumina Pipeline (v.1.3.4)[15]. For whole genome sequencing, genomic DNA was randomly fragmented into approximately 350 bp fragments by Covaris fragmentation, and end-repair reactions performed to generate a library containing short flat-ended DNA fragments with phosphate groups at the 5' end. The library was purified by Agencourt SPRIselect (Beckman Coulter, USA, Catalog #2358413) and fragment size screening was conducted using the Agencourt SPRIselect Nucleic Acid Fragment Screening Kit to generate DNAs with polyA tails at the 3' end and a sequencing connector. The DNA library was amplified by polymerase chain reaction (PCR) and library checked, and sequenced on the Illumina Novaseq platform based on the effective concentration of the library and data output. Generated sequence reads were aligned to a human reference genome sequence in the University of California, Santa Cruz (UCSC) database. Variant filtering was conducted using the Single Nucleotide Polymorphism Database (dbSNP) and the 1000 Genomes Project database. Pathogenic variants were confirmed based on records from the Human Gene Mutation Database (HGMD, http://www.hgmd.cf.ac.uk/ac/index.php ) at the Institute of Medical Genetics (Cardiff, Wales) or in accordance with the literature. The clinical significance of variants was assessed according to different criteria, including ACMG(American College of Medical Genetics and Genomics ) guidelines which determined whether they were sufficient to explain a patient's phenotype. The following databases were used: HGMD, ClinVar ( http://www.clinvar.com/ ), ESP6500 ( https://evs.gs.washington.edu/EVS/ ), the International Thousand Talents Genome Project database ( https://www.internationalgenome.org/ ), dbSNP ( https://ngdc.cncb.ac.cn/databasecommons/ ), and gnomAD ( http://www.gnomad-sg.org/ ) which determined if any variant was novel. PCR and Sanger sequencing PCR-Sanger sequencing was conducted on the proband and family members to verify candidate pathogenic variations identified by next generation sequencing, and to also confirm any co-segregation in the pedigree. Genomic DNA, cDNA, and GLI3 amino acid reference sequences (NM_000168.5 and NP_000159.3) were obtained from the UCSC Genome Browser database ( http://genome.ucsc.edu/ ) and the National Center for Biotechnology Information Reference Sequence Project. Primers were designed using Primer 3 ( https://bioinfo.ut.ee/primer3-0.4.0/ ) and inspected using the UCSC Genome Browser BLAT and online in silico PCR tools. Genomic DNA was amplified using TaKaRa LA Taq® in GC Buffer (TaKaRa, Shiga, Japan). PCR conditions were as follows: initial denaturation at 95°C for 3 min; followed by 35 cycles of 94°C for 30 s, 58°C for 40 s, and 72°C for 40 s; with a final extension at 72°C for 10 min. PCR products were separated using 2% agarose gel electrophoresis and amplicons sequenced using the Applied Biosystems 3730Xl DNA Analyzer (Thermo Fisher Scientific, Waltham, MA, USA). Sequencing results were aligned to reference sequences using CodonCode Aligner (v.6.0.2.6; CodonCode, Centerville, MA, USA). Real-time quantitative PCR Real-time quantitative PCR was performed using TB green (TaKaRa, Dalian, China) in a 96-well Thermal iCycler (Bio-Rad, Hercules, CA, USA). To validate a large gross deletion in family 10, the following parameters were used: initial denaturation at 95°C for 30 s; followed by 39 cycles of 95°C for 5 s, 58°C for 30 s, and 65°C for 5 s; with a final extension at 95°C for 5 s. Bioinformatics The UCSC database was used to evaluate protein conservation at variant sites. Comparative sequence analysis across multiple species was conducted using MEGA-11 software (Molecular Evolutionary Genetics Analysis software). The VarCards platform was used to predict the potential impact of candidate variants using a suite of algorithms. Variant pathogenicity was assessed based on ACMG guidelines in conjunction with the Association for Molecular Pathology. Additionally, InterVar ( http://wintervar.wglab.org/ ) and Franklin ( https://franklin.genoox.com/clinical-db/home ) databases were used to conduct comprehensive evaluations of variant pathogenicity. The aggrecan structure was predicted using the Swissmodel platform, which involved comparing wild-type and mutant proteins. Swiss-PdbViewer software was then used for a detailed analysis of the protein's three-dimensional structure. We further analyzed the effects of three missense variants on protein function using three software variant websites: Variant Taster ( https://www.mutationtaster.org ), PolyPhen-2 ( http://genetics.bwh.harvard.edu/pph2/ ), and CADD ( https://cadd.gs.washington.edu/snv ). Polyphen-2 integrates specific regions in variant sites and corresponding secondary and tertiary structure features to predict whether amino acid substitutions affect protein function. Variant Taster is a collection of four databases of known disease-causing variants and predicts non-functional variants based on protein structure and predicts the effects of non-identical variants on protein function based on the evolutionary conservatism of protein structure. CADD is a comprehensive prediction software platform, which constructs a set of models by combining allele polymorphisms at variant sites, variant pathogenicity, and other factors. It then evaluates variants and generates a score; the higher the score indicates a higher probability that the variant is a deleterious variant. Results Clinical evaluation Ten Chinese families with limb malformations caused by GLI3 mutations were recruited. Pedigrees and clinical phenotypes are shown (Fig. 1 ). A brief summary of clinical symptoms is also presented (Table 1). Proband 1 was an eight-month-old foundling, diagnosed with Pallister–Hall syndrome and presenting with central PAP of both hands, PPD of both feet, cryptorchidism, and incomplete cleft lip and palate. Proband 2 was an induced aborted fetus with unilateral broad thumb deformity and bilateral PPD of the feet. Proband 3 was a 54-year-old female with a history of the surgical removal of bilateral PAP of the hands, and currently exhibiting bilateral PAP of the feet and 2nd − 3rd toe syndactyly. Her son also displayed similar phenotypes. Proband 4 was a six-month-old male with multiple fingers (toes) behind the axes of both hands and feet, with his mother and sister displaying similar phenotypes. Proband 5 was a nine-month-old male with bilateral PAP of the hands, ulnar floating polydactyly of the little fingers, and bilateral postaxial hexadactyly of the feet. A family history revealed polydactyly in the mother and maternal grandfather, with no abnormalities in other relatives. Proband 6 was an eight-month-old male with complex syndactyly-polydactyly deformities in both feet (normal hands) and multiple milk coffee spots on the trunk and abdomen. His mother exhibited short thumbs bilaterally and syndactyly of the left 3rd − 4th fingers, with no anomalies in other family members. Proband 7 was a one-year-old male with a Wassel type V accessory thumb on the right hand, and no obvious abnormalities in the family. Proband 8 was a seven-month-old male with bilateral thumb polydactyly, syndactyly of the middle and ring fingers, and polydactyly of both feet. Multiple affected family members displayed floating polydactyly of the little fingers and foot polydactyly. Proband 9 was a two-year-old boy with bilateral 3rd − 4th finger syndactyly and polydactyly of both feet with functional impairment (no pain or sensory abnormalities). No familial anomalies were observed. Proband 10 was a six-month-old male with bilateral thumb polydactyly, syndactyly of the middle and ring fingers, 1st − 3rd toe syndactyly, and 2nd − 3rd toe polydactyly of both feet. No abnormalities were reported in family members. Table 1 . A summary of clinical symptoms and pathogenic GLI3 variants in families with limb malformations. Variant identification Ten GLI3 pathogenic variants related to limb malformations were detected by next generation sequencing combined with PCR-Sanger sequencing. All patients were the heterozygote of one variant mentioned above (Fig. 2 ). Variant c.1063G > A was identified in Proband 1, which led to a tryptophan substitution to glycine (p.Val355Ile). Variant c.1880_1881del was identified in Proband 2 and her mother, which caused a frameshift and generated a premature termination codon (p.His627Argfs*48). Variant c.2374C > T was identified in Proband 3, which caused position 792 to become a termination codon (p.Arg792*). Variant c.2029C > T was identified in Proband 4 and his mother and sister, which caused position 677 to become a termination codon (p.Gln677*). Variant c.2008C > T was identified in Proband 5 and his mother and caused position 670 to become a termination codon (p.Gln670*). Variant c.811_812delCT was identified in Proband 6 and his mother, which caused a frameshift and generated a premature termination codon (p.Leu271Serfs*5). Variant c.1489C > A was identified in Proband 7, which led to the substitution of leucine to isoleucine (p.Leu497Ile). Variant c.1096C > T was found in Proband 8 and his father, which caused position 366 to become a termination codon (p.Arg366*). Variant c.600delC was identified in Proband 9, which caused position 200 to become a termination codon (p.Tyr200*) (Fig. 2 A). A large gross deletion (g.42061081_42069739del) was identified in Proband 10 (Fig. 2 B). Except for probands 1, 7, 9, and 10, who were sporadic, genotypes and phenotypes were confirmed in the other six families. In the ten variants identified here, three (c.1880_1881del, c.2374C > T, and c.1096C > T) were recorded by HGMD, while seven (c.1063G > A, c.600del, c.2029C > T, c.1489C > A, c.2008C > T, c.811_812delCT, g.42061081_42069739del) were novel and recorded for the first time. Pathogenicity analysis GLI3 is a transcriptional activator whose structure is shown (Fig. 3 ). Variant p.Tyr200* was located in the repressor domain, which potentially caused the absence of truncated protein intact repressor structural domains that fail to repress target gene transcription, resulting in the failure to express the zinc finger structural domain, cleavage site and activation structural domain. Variant p.Leu271Serfs*5 is located in the SUFU-binding sequence, which may result in lost GLI3–SUFU binding and abnormal GLI3 processing. Variants p.Val355Ile and p.Arg366* are found in the junction region between the SUFU-binding sequence and the zinc finger structural domain, and possibly affect repressor domain function. Variants p.Leu497Ile and p.His627Argfs*48 occurs in the zinc finger structural domain, which may limit GLI3 to effectively bind to target gene promoters, resulting in abnormal transcriptional regulation. Variants p.Gln670* and p.Gln677* are close to the zinc finger domain cleavage site, which may interfere with cleavage processes and truncate the protein. Variant p.Arg792* is found between the protein hydrolysis cleavage site and the structural CREB-binding domain (helps maintain conformation of the CBP-binding structural domain), with mutations in the vicinity possibly reducing CBP-binding capacity. A large fragment deletion (g.42061081_42069739del) possibly generates an insufficient single protein dose or dominant negative effects due to protein truncation (Fig. 3 ). Protein conservation prediction and a three-dimensional structure analysis of two missense mutations were also conducted (Fig. 4 ). The conservation analysis of variant sites using multiple sequence alignments indicated that GLI3 variants c.1063G > A (p.Val355Ile) and c.1489C > A (p.Leu497Ile) were highly conserved across different species (monkey, mouse, elephant, chicken, rabbit, and cow). Missense variants were tested and analyzed by three protein deleteriousness prediction software (Table 2 ). CADD values for the three missense mutations were greater than the recommended threshold of 10, thus these missense mutations were pathogenic. Variants c.1489C > A (p.Leu497Ile) and c.1063G > A (p.Val355Ile) were predicted to be potentially deleterious and disease causing (Polyphen-2 and Variant Taster, respectively). Table 2 . Predicting the functional deleteriousness of missense mutations in the GL13 protein . Discussion Congenital limb deformities are the most common birth defects in newborns[16]. Around the fourth week of embryonic development, the ventrolateral wall of the embryo begins to form the limb bud of the upper limb and gradually grows to form the ectodermal ridge. Subsequently, the hand plate appears and develops into finger plates. As interdigital cell apoptosis occurs, around the 8th week, each finger begins to separate and mature. In this process, various growth and transcription factors and related proteins are involved in joint regulation[17]. GLI3 contains zinc finger structures, and has key roles regulating the Sonic Hedgehog signaling pathway, which is involved in many physiological processes, including cell growth, differentiation, and tissue morphogenesis. GLI3 has several highly conserved functional domains, including an inhibitory domain (Amino Acids (AA) 106–163), a zinc finger binding domain (AA 462–645), a protein hydrolysis cleavage site (AA 703–740), a CREB-binding protein domain (AA 827–1131), a trans-activation domain 2 (AA 1044–1322), and a trans-activation domain 1 (AA 1376–1580)[18]. Abnormalities in GLI3 function are associated with the occurrence and development of various developmental diseases and cancers, while GLI3 variants may lead to varying clinical phenotypes in different families[19]. We investigated ten families with limb abnormalities and identified ten GLI3 gene variants. The protein encoded by GLI3 has important roles in embryonic development, particularly in limb formation. These variations potentially affected normal GLI3 protein function, leading to limb abnormalities. Studying these variations will help us better understand GLI3 gene roles in limb development and how these variations lead to disease. Importantly, this approach is critical for diagnosis, genetic counseling, and future treatment strategies. The clinical phenotypes of patients with GLI3 mutation-induced limb malformations are complex and varied, including PPD, PAP, syndactyly, and other syndromes. Until now, no hotspot mutations associated with limb malformations were identified in GLI3 ; therefore, the clinical diagnostics is highly dependent on high-throughput sequencing. In our ten cases, clinical heterogeneity was observed in association with different GLI3 variants, with significant clinical presentation differences. GLI3 missense, nonsense, and frameshift mutations, and also a large fragment deletion caused limb deformities. Family members with identical GLI3 variants also differed in terms of clinical presentation, with allelic heterogeneity. In the c.2374C > T(p.Arg792*) variant reported by Kalff-Suske et al.[20], their patient had Greig cephalopolysyndactyly syndrome (GCPS) with clinical PPD manifestations as well as syndactyly of the hands and feet, macrocephaly, a broad nasal root with mild hypertelorism, and a prominent forehead. Proband 3 in our study also had this mutation, but it clinically presented with non-syndromic PAP of both hands and feet. In the c.1096 C > T(p.Arg366*) variant reported by Debeer et al.[21], their patient had GCPS with bilateral polydactyly of both hands and feet, a broad nose, wide spacing, forehead bulge, and a high and wide forehead. In our study, pedigree 8 also had this variant, but clinically presented as non-syndromic, with polydactyly. In the c.811_812delCT(p.Leu271Serfs*5) variant reported by Johnston et al.[22], their patient also had GCPS with bilateral polydactyly of both hands and feet, macrocephaly and hypertelorism. In our study, pedigree 2 also had this variant, but clinically presented with non-syndromic bilateral polydactyly. In terms of GLI3 variants, we did not identify a clear direct correlation between genotype and phenotype[23]. In their study, revealed a strong genotype-phenotype correlation between the location of truncating variants in GLI3 and syndrome type. The non-syndromic GLI3 variants identified so far do not appear to be restricted to any particular gene region[24]. The discovery of additional non-syndromic GLI3 mutations will help us further characterize this association. Conclusions Seven novel GLI3 variants and three previously reported GLI3 variants were identified in ten Chinese families with polydactyly. Our results broaden the phenotype and pathogenic variant landscape of GLI3 and provide key evidence for precise diagnostics and prenatal prevention. Declarations Ethics approval and consent to participate This study was approved by the Institutional Review Board of the Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China (015-2015). All participants or the legal guardians of children under 18 signed informed consent sheets prior to enrollment. Consent for publication Not applicable. Funding National Key Research and Development Program of China (2022YFC2703700), CAMS Innovation Fund for Medical Sciences (CIFMS 2021-I2M-1-051), and Suzhou Medical Health Talents Project9 (RC202403). Authors' contributions TSY performed most of the experiments and wrote the manuscript; GXY collected and transported the samples; SXF and WXD provided clinical diagnosis and manuscript editing roles; and ZXL conceived and supervised the project. Data Availability Not applicable. References Zguricas, J., et al., Genetics of limb development and congenital hand malformations. Plast Reconstr Surg, 1998. 101 (4): p. 1126-35. Malik, S., Polydactyly: phenotypes, genetics and classification. Clin Genet, 2014. 85 (3): p. 203-12. Farrugia, M.C. and J. Calleja-Agius, Polydactyly: A Review. Neonatal Netw, 2016. 35 (3): p. 135-42. Fujioka, H., et al., Molecular analysis of non-syndromic preaxial polydactyly: preaxial polydactyly type-IV and preaxial polydactyly type-I. Clin Genet, 2005. 67 (5): p. 429-33. Bashur, L.A., et al., Loss of jab1 in osteochondral progenitor cells severely impairs embryonic limb development in mice. J Cell Physiol, 2014. 229 (11): p. 1607-17. Kronenberg, H.M., Developmental regulation of the growth plate. Nature, 2003. 423 (6937): p. 332-6. Deng, H., T. Tan, and L. Yuan, Advances in the molecular genetics of non-syndromic polydactyly. Expert Rev Mol Med, 2015. 17 : p. e18. Zou, Q., et al., A novel missense in GLI3 possibly affecting one of the zinc finger domains may lead to postaxial synpolydactyly: case report. BMC Med Genet, 2019. 20 (1): p. 174. New insights into genotype-phenotype correlation for GLI3 mutations. European journal of human genetics : EJHG, 2015. Kang, S., et al., Gene structure and allelic expression assay of the human GLI3 gene. Human Genetics, 1997. 101 (2): p. 154-157. Ruiz i Altaba, A., Gli proteins encode context-dependent positive and negative functions: implications for development and disease. Development, 1999. 126 (14): p. 3205-16. Matissek, S.J. and S.F. Elsawa, GLI3: a mediator of genetic diseases, development and cancer. Cell Commun Signal, 2020. 18 (1): p. 54. Al-Qattan, M.M., et al., GLI3-related polydactyly: a review. Clinical Genetics, 2017. Miller, S.A., D.D. Dykes, and H.F. Polesky, A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res, 1988. 16 (3): p. 1215. Wei, X., et al., Identification of sequence variants in genetic disease-causing genes using targeted next-generation sequencing. PLoS One, 2011. 6 (12): p. e29500. Biesecker, L.G., Polydactyly: how many disorders and how many genes? Am J Med Genet, 2002. 112 (3): p. 279-83. Tonkin, M.A., Failure of differentiation part I: Syndactyly. Hand Clin, 2009. 25 (2): p. 171-93. Ito, S., et al., Novel GLI3 variant causing overlapped Greig cephalopolysyndactyly syndrome (GCPS) and Pallister-Hall syndrome (PHS) phenotype with agenesis of gallbladder and pancreas. Diagn Pathol, 2018. 13 (1): p. 1. Tickle, C. and M. Towers, Sonic Hedgehog Signaling in Limb Development. Front Cell Dev Biol, 2017. 5 : p. 14. Kalff-Suske, M., et al., Point mutations throughout the GLI3 gene cause Greig cephalopolysyndactyly syndrome. Hum Mol Genet, 1999. 8 (9): p. 1769-77. Debeer, P., et al., Variable phenotype in Greig cephalopolysyndactyly syndrome: clinical and radiological findings in 4 independent families and 3 sporadic cases with identified GLI3 mutations. Am J Med Genet A, 2003. 120a (1): p. 49-58. Johnston, J.J., et al., Molecular and clinical analyses of Greig cephalopolysyndactyly and Pallister-Hall syndromes: robust phenotype prediction from the type and position of GLI3 mutations. Am J Hum Genet, 2005. 76 (4): p. 609-22. Mumtaz, S., et al., Complex postaxial polydactyly types A and B with camptodactyly, hypoplastic third toe, zygodactyly and other digit anomalies caused by a novel GLI3 mutation. Eur J Med Genet, 2017. 60 (5): p. 268-274. Wang, Z., et al., Novel frame-shift mutations of GLI3 gene in non-syndromic postaxial polydactyly patients. Clin Chim Acta, 2014. 433 : p. 195-9. Additional Declarations No competing interests reported. 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. 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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-7091124","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":486007116,"identity":"f2229a6a-f7f7-492e-a133-37dc0ae1d54a","order_by":0,"name":"Siyuan Tao","email":"","orcid":"","institution":"Key Laboratory in Science and Technology Development Project of Suzhou (CN), Pediatric Orthopedics, Children’s Hospital of Soochow University, No. 92 Zhongnan Street, Suzhou Industrial Park, Suzhou 215025, China; Center for Rare Diseases, State Key Laboratory of Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, 1 Shuai Fu Community, Dongcheng District, Beijing 100730, China; Department of Medical Genetics, State Key Laboratory for Complex, Severe, and Rare Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China","correspondingAuthor":false,"prefix":"","firstName":"Siyuan","middleName":"","lastName":"Tao","suffix":""},{"id":486007118,"identity":"b8947a9e-eaf7-449e-92e5-d881e5d8bfd1","order_by":1,"name":"Xuyu Gu","email":"","orcid":"","institution":"Key Laboratory in Science and Technology Development Project of Suzhou (CN), Pediatric Orthopedics, Children’s Hospital of Soochow University, No. 92 Zhongnan Street, Suzhou Industrial Park, Suzhou 215025, China","correspondingAuthor":false,"prefix":"","firstName":"Xuyu","middleName":"","lastName":"Gu","suffix":""},{"id":486007121,"identity":"fe9921da-b3d5-4182-8b7b-f1479b885236","order_by":2,"name":"Xiaodong Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVRIiWNgGAWjYNACNhsgkQBiEK8ljXQth0nQYnD87OHXPGXn7Q2OJz9g+FB2mIF/dgMBLWfy0ixnnLuduOHMMwPGGecOM0jcOYBfi9mBHDODj223EwxuJBgw87YdZjCQSCCg5fwbM4PEtnP2BjfSPzD/JUrLjRzjBx/bDjBuuJFjwMxIjBb7G2/MgF5ITpx55k3BwZ5z6TwSNwhokezPMf7MU2Znz3c8feODH2XWcvwzCGgBAjYJGOsAEPMQVA8EzB+IUTUKRsEoGAUjGAAA5/1IlJXckNoAAAAASUVORK5CYII=","orcid":"","institution":"Key Laboratory in Science and Technology Development Project of Suzhou (CN), Pediatric Orthopedics, Children’s Hospital of Soochow University, No. 92 Zhongnan Street, Suzhou Industrial Park, Suzhou 215025, China","correspondingAuthor":true,"prefix":"","firstName":"Xiaodong","middleName":"","lastName":"Wang","suffix":""},{"id":486007122,"identity":"f25f7101-68bc-4561-bacb-fcd514cbff6a","order_by":3,"name":"Xiaofang Shen","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3klEQVRIiWNgGAWjYFACxgcHPv6zkQOyDICYmRgtzIYHZ7ClGZOkxfgwD9vhxAaitcjPSGY4zMOTlj5/RvLGDwwV1okN7GcP4NVicOYww8E5Eja5G26kFUswnElPbODJS8Cvhb3/wIE3Bmm5GyRyDCQY24AulOAxwO+wZmaGAzwJh9PlZ+QY/2D8R4QWhuPNDAd5DhxOYLiRYybB2ECEFrBfZjakGW4486zMIuFYunEbTw4Bh81IZv7wscFGXr49efONDzXWsv3sZwg4DAUkADEbCepHwSgYBaNgFOAAAJvSSJSy/4dXAAAAAElFTkSuQmCC","orcid":"","institution":"Key Laboratory in Science and Technology Development Project of Suzhou (CN), Pediatric Orthopedics, Children’s Hospital of Soochow University, No. 92 Zhongnan Street, Suzhou Industrial Park, Suzhou 215025, China","correspondingAuthor":true,"prefix":"","firstName":"Xiaofang","middleName":"","lastName":"Shen","suffix":""},{"id":486007124,"identity":"8cde8aff-adaa-4280-94a4-ec012c82eacd","order_by":4,"name":"Xiuli Zhao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAw0lEQVRIiWNgGAWjYDACCRBhwCDDxt4AYh0gXgsPG88BkrQwMPAwSCQQqUV+dvPDxzwFh3n4JN8ek7pRc4eBf3YDfi2Mc44ZG84wOMzDJp2XJp1z7BmDxB0CNjFLJJhJfABryTGTzm04zGAAcSFuwCaR/k0iAaRF8gyRWngkcqC2SPAQqUVCIqcY6Jd0YCDnJVvnHDvMI3GDgBb5GekbH/P8sZaTbz978HZOzWE5/hkEtCC7EYkkScsoGAWjYBSMAgwAANn+OdzhPe+FAAAAAElFTkSuQmCC","orcid":"","institution":"Key Laboratory in Science and Technology Development Project of Suzhou (CN), Pediatric Orthopedics, Children’s Hospital of Soochow University, No. 92 Zhongnan Street, Suzhou Industrial Park, Suzhou 215025, China; Center for Rare Diseases, State Key Laboratory of Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, 1 Shuai Fu Community, Dongcheng District, Beijing 100730, China; Department of Medical Genetics, State Key Laboratory for Complex, Severe, and Rare Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China","correspondingAuthor":true,"prefix":"","firstName":"Xiuli","middleName":"","lastName":"Zhao","suffix":""}],"badges":[],"createdAt":"2025-07-10 09:08:43","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7091124/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7091124/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":86927533,"identity":"2bc23a36-359b-435a-87bd-302c08c3754e","added_by":"auto","created_at":"2025-07-17 09:02:32","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":906694,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eClinical information and the genetic background of 10 families with putative \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eGLI3\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e mutations. A: Clinical manifestations in patients with \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eGLI3\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003emutations. B: Pedigrees of the 9 families. Black symbols indicate patients and open symbols represent uninfected individuals. Arrows indicate primary patients and a slash indicates adeceased patient. Squares represent males and circles represent females\u003c/strong\u003e.\u003c/p\u003e","description":"","filename":"GLI3Figure1.png","url":"https://assets-eu.researchsquare.com/files/rs-7091124/v1/bcd8c5744225529e23e0a939.png"},{"id":86927543,"identity":"83cbb82c-9f26-47ad-ad9e-2afedbc3e257","added_by":"auto","created_at":"2025-07-17 09:02:32","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":495795,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eVariant analysis of families 1–10. A: Sanger sequencing results for families 1–9. B: In proband 10, a large gross deletion (g.42061081_42069739) was validated by qPCR, gap-PCR, and Sanger DNA sequencing\u003c/strong\u003e.\u003c/p\u003e","description":"","filename":"GLI3Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-7091124/v1/84cc41b3ce27ee48d852f85d.png"},{"id":86927532,"identity":"4e777124-5f49-44ed-b0a1-f1552ce0d991","added_by":"auto","created_at":"2025-07-17 09:02:32","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":23673,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSchematic showing the GLI3 structure. RD: Repressor domain; SUFU: SUFU-bindingsequence; ZNF: Zine finger domain; CS: Cleavage site; CREB: CREB-binding protein; TAD: Transcriptional activation domain\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"GLI3Figure3.png","url":"https://assets-eu.researchsquare.com/files/rs-7091124/v1/c09529c1bdd652574a35c29c.png"},{"id":86927537,"identity":"194bd85e-6c4c-473d-b19e-505a55d441da","added_by":"auto","created_at":"2025-07-17 09:02:32","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":999728,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eBioinformaticsanalysis of two novel missense variants in \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eGLI3\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e. A: Evolutionary amino acid conservation in GLI3. Variant sites are red. B: Three-dimensional structural comparisons betweenmutant and wild-type proteins. Three-dimensional missense variant (c.1063G\u0026gt;A(p.Val355Ile) and c.1489C\u0026gt;A(p.Leu497Ile)) protein structures are compared with wild-type.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"GLI3Figure4.png","url":"https://assets-eu.researchsquare.com/files/rs-7091124/v1/dfb91c55dbd5f603be133414.png"},{"id":93664296,"identity":"3d000ea5-18a0-4225-89df-1661e484e5c9","added_by":"auto","created_at":"2025-10-16 08:47:18","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3830729,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7091124/v1/20ac433e-8040-4ed9-8823-be739ca1d8aa.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"The molecular characterization of seven novel GLI family zinc finger 3 (GLI3) variants in Chinese families with limb malformations","fulltext":[{"header":"Introduction","content":"\u003cp\u003eCongenital limb malformations are a group of limb anomalies, present at birth, that primarily affect the form and function of the hands and feet. The malformation can be isolated or part of a syndrome, and may be caused by genetic or environmental factors[1]. Polydactyly is one of the most common limb malformations in humans. The global neonatal prevalence is approximately 0.03\u0026ndash;0.36%[2]. Most families affected by polydactyly exhibit autosomal dominant inheritance patterns, while others show autosomal recessive inheritance patterns[3]. Non-syndromic polydactyly can be categorized according to the location of the finger (toe) deformity, as preaxial polydactyly (PPD), postaxial polydactyly (PAP), and central polydactyly, with PPD the most common and central polydactyly the least common syndrome[4]. In human limb formation, embryonic cells initially develop into limb buds, followed by bones, blood vessels, nerves, and muscles, and eventually a hand or foot is generated with a specific shape and number of legs[5]. Limb development is a complex process that requires a balance between cell proliferation, cell cycle progression, cell fate determination, and cell differentiation under finely controlled multilayered regulation[6]. Variants in any gene can lead to polydactyly or other limb deformities[7]. Chromosome 7 has now become a variant localization hotspot in limb malformations[2].\u003c/p\u003e\u003cp\u003eGLI family zinc finger 3 (\u003cem\u003eGLI3\u003c/em\u003e) is an evolutionarily conserved gene located on human chromosome 7p13 and consists of 14 exons[8]. Its mRNA is 8.5 kb long, encodes a polypeptide chain of 1580 amino acids containing five highly conserved tandem zinc finger structures with specific DNA sequence affinities[9], and ultimately encodes an important zinc-finger transcription factor implicated in early vertebrate limb development[10]. The transcription factor is a member of the Hedgehog (Hh/HH) signaling pathway and has important roles in early limb development in animals. Under normal conditions, \u003cem\u003eGLI3\u003c/em\u003e is processed to the long GLI3A peptide form with transcription-promoting properties, and has important roles regulating human limb bud development, particularly in the anterior-posterior axis. However, under certain pathological conditions, the gene is processed to the shorter GLI3R peptide form, which exerts inhibitory transcriptional effects[11]. The \u003cem\u003eGLI3\u003c/em\u003e-encoded protein binds to specific DNA sequences via its DNA-binding region and regulates the switching on/off of certain genes[12]. Variants in different \u003cem\u003eGL13\u003c/em\u003e structural domains can lead to different congenital disorders, including Greig cephalopolysyndactyly syndrome (GCPS; MIM175700), Pallister\u0026ndash;Hall syndrome (PHS; MIM146510), non-syndromic PAP (PAP-A/B; 174200), and PPD type IV (PPD-IV; MIM174700)[13].\u003c/p\u003e\u003cp\u003eIn this study, we collected ten Chinese families with limb malformations. Candidate variants were identified by next generation sequencing and verified by Sanger sequencing. We identified seven new \u003cem\u003eGLI3\u003c/em\u003e variants. Concurrently in affected individuals in the family, while no variants were found in unaffected individuals. Bioinformatics analyses, conservative predictions, and three-dimensional protein simulations suggested that these \u003cem\u003eGLI3\u003c/em\u003e variants may be causative variations for limb malformations in these families.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cp\u003e\u003cb\u003eClinical examination and genomic DNA isolation\u003c/b\u003e\u003c/p\u003e\u003cp\u003ePatient clinical phenotypes were confirmed by clinical examination and radiographs. Peripheral blood samples (3\u0026ndash;5 mL) were collected from all available family members and genomic DNA was extracted using standard sodium dodecyl sulfate protease K-phenol/chloroform methods[14].\u003c/p\u003e\u003cp\u003e\u003cb\u003eNext generation sequencing\u003c/b\u003e\u003c/p\u003e\u003cp\u003eFor whole exon sequencing, exome capture was performed using an Agilent SureSelect Human All Exon kit (Agilent Technologies, Wilmington, DE, USA). DNA was fragmented into approximately 150\u0026ndash;300 base pair (bp) lengths by ultrasonic treatment. Subsequently, a capture DNA library for sequencing was established using the HiSeq 2000 platform (Illumina Inc., San Diego, CA, USA). Raw data collection, including error assessments and base calling, was accomplished using the Illumina Pipeline (v.1.3.4)[15].\u003c/p\u003e\u003cp\u003eFor whole genome sequencing, genomic DNA was randomly fragmented into approximately 350 bp fragments by Covaris fragmentation, and end-repair reactions performed to generate a library containing short flat-ended DNA fragments with phosphate groups at the 5' end. The library was purified by Agencourt SPRIselect (Beckman Coulter, USA, Catalog #2358413) and fragment size screening was conducted using the Agencourt SPRIselect Nucleic Acid Fragment Screening Kit to generate DNAs with polyA tails at the 3' end and a sequencing connector. The DNA library was amplified by polymerase chain reaction (PCR) and library checked, and sequenced on the Illumina Novaseq platform based on the effective concentration of the library and data output. Generated sequence reads were aligned to a human reference genome sequence in the University of California, Santa Cruz (UCSC) database. Variant filtering was conducted using the Single Nucleotide Polymorphism Database (dbSNP) and the 1000 Genomes Project database. Pathogenic variants were confirmed based on records from the Human Gene Mutation Database (HGMD, \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.hgmd.cf.ac.uk/ac/index.php\u003c/span\u003e\u003cspan address=\"http://www.hgmd.cf.ac.uk/ac/index.php\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) at the Institute of Medical Genetics (Cardiff, Wales) or in accordance with the literature. The clinical significance of variants was assessed according to different criteria, including ACMG(American College of Medical Genetics and Genomics ) guidelines which determined whether they were sufficient to explain a patient's phenotype. The following databases were used: HGMD, ClinVar (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.clinvar.com/\u003c/span\u003e\u003cspan address=\"http://www.clinvar.com/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), ESP6500 (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://evs.gs.washington.edu/EVS/\u003c/span\u003e\u003cspan address=\"https://evs.gs.washington.edu/EVS/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), the International Thousand Talents Genome Project database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.internationalgenome.org/\u003c/span\u003e\u003cspan address=\"https://www.internationalgenome.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), dbSNP (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://ngdc.cncb.ac.cn/databasecommons/\u003c/span\u003e\u003cspan address=\"https://ngdc.cncb.ac.cn/databasecommons/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), and gnomAD (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.gnomad-sg.org/\u003c/span\u003e\u003cspan address=\"http://www.gnomad-sg.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) which determined if any variant was novel.\u003c/p\u003e\u003cp\u003e\u003cb\u003ePCR and Sanger sequencing\u003c/b\u003e\u003c/p\u003e\u003cp\u003ePCR-Sanger sequencing was conducted on the proband and family members to verify candidate pathogenic variations identified by next generation sequencing, and to also confirm any co-segregation in the pedigree. Genomic DNA, cDNA, and GLI3 amino acid reference sequences (NM_000168.5 and NP_000159.3) were obtained from the UCSC Genome Browser database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://genome.ucsc.edu/\u003c/span\u003e\u003cspan address=\"http://genome.ucsc.edu/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) and the National Center for Biotechnology Information Reference Sequence Project. Primers were designed using Primer 3 (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://bioinfo.ut.ee/primer3-0.4.0/\u003c/span\u003e\u003cspan address=\"https://bioinfo.ut.ee/primer3-0.4.0/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) and inspected using the UCSC Genome Browser BLAT and online \u003cem\u003ein silico\u003c/em\u003e PCR tools.\u003c/p\u003e\u003cp\u003eGenomic DNA was amplified using TaKaRa LA Taq\u0026reg; in GC Buffer (TaKaRa, Shiga, Japan). PCR conditions were as follows: initial denaturation at 95\u0026deg;C for 3 min; followed by 35 cycles of 94\u0026deg;C for 30 s, 58\u0026deg;C for 40 s, and 72\u0026deg;C for 40 s; with a final extension at 72\u0026deg;C for 10 min. PCR products were separated using 2% agarose gel electrophoresis and amplicons sequenced using the Applied Biosystems 3730Xl DNA Analyzer (Thermo Fisher Scientific, Waltham, MA, USA). Sequencing results were aligned to reference sequences using CodonCode Aligner (v.6.0.2.6; CodonCode, Centerville, MA, USA).\u003c/p\u003e\u003cp\u003e\u003cb\u003eReal-time quantitative PCR\u003c/b\u003e\u003c/p\u003e\u003cp\u003eReal-time quantitative PCR was performed using TB green (TaKaRa, Dalian, China) in a 96-well Thermal iCycler (Bio-Rad, Hercules, CA, USA). To validate a large gross deletion in family 10, the following parameters were used: initial denaturation at 95\u0026deg;C for 30 s; followed by 39 cycles of 95\u0026deg;C for 5 s, 58\u0026deg;C for 30 s, and 65\u0026deg;C for 5 s; with a final extension at 95\u0026deg;C for 5 s.\u003c/p\u003e\u003cp\u003e\u003cb\u003eBioinformatics\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe UCSC database was used to evaluate protein conservation at variant sites. Comparative sequence analysis across multiple species was conducted using MEGA-11 software (Molecular Evolutionary Genetics Analysis software). The VarCards platform was used to predict the potential impact of candidate variants using a suite of algorithms. Variant pathogenicity was assessed based on ACMG guidelines in conjunction with the Association for Molecular Pathology. Additionally, InterVar (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://wintervar.wglab.org/\u003c/span\u003e\u003cspan address=\"http://wintervar.wglab.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) and Franklin (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://franklin.genoox.com/clinical-db/home\u003c/span\u003e\u003cspan address=\"https://franklin.genoox.com/clinical-db/home\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) databases were used to conduct comprehensive evaluations of variant pathogenicity. The aggrecan structure was predicted using the Swissmodel platform, which involved comparing wild-type and mutant proteins. Swiss-PdbViewer software was then used for a detailed analysis of the protein's three-dimensional structure. We further analyzed the effects of three missense variants on protein function using three software variant websites: Variant Taster (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.mutationtaster.org\u003c/span\u003e\u003cspan address=\"https://www.mutationtaster.org\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), PolyPhen-2 (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://genetics.bwh.harvard.edu/pph2/\u003c/span\u003e\u003cspan address=\"http://genetics.bwh.harvard.edu/pph2/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), and CADD (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://cadd.gs.washington.edu/snv\u003c/span\u003e\u003cspan address=\"https://cadd.gs.washington.edu/snv\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e). Polyphen-2 integrates specific regions in variant sites and corresponding secondary and tertiary structure features to predict whether amino acid substitutions affect protein function. Variant Taster is a collection of four databases of known disease-causing variants and predicts non-functional variants based on protein structure and predicts the effects of non-identical variants on protein function based on the evolutionary conservatism of protein structure. CADD is a comprehensive prediction software platform, which constructs a set of models by combining allele polymorphisms at variant sites, variant pathogenicity, and other factors. It then evaluates variants and generates a score; the higher the score indicates a higher probability that the variant is a deleterious variant.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cb\u003eClinical evaluation\u003c/b\u003e\u003c/p\u003e\u003cp\u003eTen Chinese families with limb malformations caused by \u003cem\u003eGLI3\u003c/em\u003e mutations were recruited. Pedigrees and clinical phenotypes are shown (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). A brief summary of clinical symptoms is also presented (Table\u0026nbsp;1). Proband 1 was an eight-month-old foundling, diagnosed with Pallister\u0026ndash;Hall syndrome and presenting with central PAP of both hands, PPD of both feet, cryptorchidism, and incomplete cleft lip and palate. Proband 2 was an induced aborted fetus with unilateral broad thumb deformity and bilateral PPD of the feet. Proband 3 was a 54-year-old female with a history of the surgical removal of bilateral PAP of the hands, and currently exhibiting bilateral PAP of the feet and 2nd \u0026minus;\u0026thinsp;3rd toe syndactyly. Her son also displayed similar phenotypes. Proband 4 was a six-month-old male with multiple fingers (toes) behind the axes of both hands and feet, with his mother and sister displaying similar phenotypes. Proband 5 was a nine-month-old male with bilateral PAP of the hands, ulnar floating polydactyly of the little fingers, and bilateral postaxial hexadactyly of the feet. A family history revealed polydactyly in the mother and maternal grandfather, with no abnormalities in other relatives. Proband 6 was an eight-month-old male with complex syndactyly-polydactyly deformities in both feet (normal hands) and multiple milk coffee spots on the trunk and abdomen. His mother exhibited short thumbs bilaterally and syndactyly of the left 3rd \u0026minus;\u0026thinsp;4th fingers, with no anomalies in other family members. Proband 7 was a one-year-old male with a Wassel type V accessory thumb on the right hand, and no obvious abnormalities in the family. Proband 8 was a seven-month-old male with bilateral thumb polydactyly, syndactyly of the middle and ring fingers, and polydactyly of both feet. Multiple affected family members displayed floating polydactyly of the little fingers and foot polydactyly. Proband 9 was a two-year-old boy with bilateral 3rd \u0026minus;\u0026thinsp;4th finger syndactyly and polydactyly of both feet with functional impairment (no pain or sensory abnormalities). No familial anomalies were observed. Proband 10 was a six-month-old male with bilateral thumb polydactyly, syndactyly of the middle and ring fingers, 1st \u0026minus;\u0026thinsp;3rd toe syndactyly, and 2nd \u0026minus;\u0026thinsp;3rd toe polydactyly of both feet. No abnormalities were reported in family members.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e\u003cstrong\u003e. A summary of clinical\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;symptoms and pathogenic\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e\u003cem\u003eGLI3\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003evariants\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003ein\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;families with limb malformations.\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cimg width=\"593\" 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\" alt=\"image\" height=\"224\"\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eVariant identification\u003c/b\u003e\u003c/p\u003e\u003cp\u003eTen \u003cem\u003eGLI3\u003c/em\u003e pathogenic variants related to limb malformations were detected by next generation sequencing combined with PCR-Sanger sequencing. All patients were the heterozygote of one variant mentioned above (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Variant c.1063G\u0026thinsp;\u0026gt;\u0026thinsp;A was identified in Proband 1, which led to a tryptophan substitution to glycine (p.Val355Ile). Variant c.1880_1881del was identified in Proband 2 and her mother, which caused a frameshift and generated a premature termination codon (p.His627Argfs*48). Variant c.2374C\u0026thinsp;\u0026gt;\u0026thinsp;T was identified in Proband 3, which caused position 792 to become a termination codon (p.Arg792*). Variant c.2029C\u0026thinsp;\u0026gt;\u0026thinsp;T was identified in Proband 4 and his mother and sister, which caused position 677 to become a termination codon (p.Gln677*). Variant c.2008C\u0026thinsp;\u0026gt;\u0026thinsp;T was identified in Proband 5 and his mother and caused position 670 to become a termination codon (p.Gln670*). Variant c.811_812delCT was identified in Proband 6 and his mother, which caused a frameshift and generated a premature termination codon (p.Leu271Serfs*5). Variant c.1489C\u0026thinsp;\u0026gt;\u0026thinsp;A was identified in Proband 7, which led to the substitution of leucine to isoleucine (p.Leu497Ile). Variant c.1096C\u0026thinsp;\u0026gt;\u0026thinsp;T was found in Proband 8 and his father, which caused position 366 to become a termination codon (p.Arg366*). Variant c.600delC was identified in Proband 9, which caused position 200 to become a termination codon (p.Tyr200*) (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eA). A large gross deletion (g.42061081_42069739del) was identified in Proband 10 (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eB). Except for probands 1, 7, 9, and 10, who were sporadic, genotypes and phenotypes were confirmed in the other six families. In the ten variants identified here, three (c.1880_1881del, c.2374C\u0026thinsp;\u0026gt;\u0026thinsp;T, and c.1096C\u0026thinsp;\u0026gt;\u0026thinsp;T) were recorded by HGMD, while seven (c.1063G\u0026thinsp;\u0026gt;\u0026thinsp;A, c.600del, c.2029C\u0026thinsp;\u0026gt;\u0026thinsp;T, c.1489C\u0026thinsp;\u0026gt;\u0026thinsp;A, c.2008C\u0026thinsp;\u0026gt;\u0026thinsp;T, c.811_812delCT, g.42061081_42069739del) were novel and recorded for the first time.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003ePathogenicity analysis\u003c/b\u003e\u003c/p\u003e\u003cp\u003eGLI3 is a transcriptional activator whose structure is shown (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Variant p.Tyr200* was located in the repressor domain, which potentially caused the absence of truncated protein intact repressor structural domains that fail to repress target gene transcription, resulting in the failure to express the zinc finger structural domain, cleavage site and activation structural domain.\u003c/p\u003e\u003cp\u003eVariant p.Leu271Serfs*5 is located in the SUFU-binding sequence, which may result in lost GLI3\u0026ndash;SUFU binding and abnormal GLI3 processing. Variants p.Val355Ile and p.Arg366* are found in the junction region between the SUFU-binding sequence and the zinc finger structural domain, and possibly affect repressor domain function. Variants p.Leu497Ile and p.His627Argfs*48 occurs in the zinc finger structural domain, which may limit GLI3 to effectively bind to target gene promoters, resulting in abnormal transcriptional regulation. Variants p.Gln670* and p.Gln677* are close to the zinc finger domain cleavage site, which may interfere with cleavage processes and truncate the protein. Variant p.Arg792* is found between the protein hydrolysis cleavage site and the structural CREB-binding domain (helps maintain conformation of the CBP-binding structural domain), with mutations in the vicinity possibly reducing CBP-binding capacity. A large fragment deletion (g.42061081_42069739del) possibly generates an insufficient single protein dose or dominant negative effects due to protein truncation (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eProtein conservation prediction and a three-dimensional structure analysis of two missense mutations were also conducted (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). The conservation analysis of variant sites using multiple sequence alignments indicated that \u003cem\u003eGLI3\u003c/em\u003e variants c.1063G\u0026thinsp;\u0026gt;\u0026thinsp;A (p.Val355Ile) and c.1489C\u0026thinsp;\u0026gt;\u0026thinsp;A (p.Leu497Ile) were highly conserved across different species (monkey, mouse, elephant, chicken, rabbit, and cow). Missense variants were tested and analyzed by three protein deleteriousness prediction software (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e2\u003c/span\u003e). CADD values for the three missense mutations were greater than the recommended threshold of 10, thus these missense mutations were pathogenic. Variants c.1489C\u0026thinsp;\u0026gt;\u0026thinsp;A (p.Leu497Ile) and c.1063G\u0026thinsp;\u0026gt;\u0026thinsp;A (p.Val355Ile) were predicted to be potentially deleterious and disease causing (Polyphen-2 and Variant Taster, respectively).\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e\u003cstrong\u003e. Predicting the\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003efunctional deleteriousness of missense mutations\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;in the GL13 protein\u003c/strong\u003e\u003cstrong\u003e.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg 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\" width=\"693\" height=\"117\"\u003e\u003c/strong\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eCongenital limb deformities are the most common birth defects in newborns[16]. Around the fourth week of embryonic development, the ventrolateral wall of the embryo begins to form the limb bud of the upper limb and gradually grows to form the ectodermal ridge. Subsequently, the hand plate appears and develops into finger plates. As interdigital cell apoptosis occurs, around the 8th week, each finger begins to separate and mature. In this process, various growth and transcription factors and related proteins are involved in joint regulation[17]. GLI3 contains zinc finger structures, and has key roles regulating the Sonic Hedgehog signaling pathway, which is involved in many physiological processes, including cell growth, differentiation, and tissue morphogenesis. GLI3 has several highly conserved functional domains, including an inhibitory domain (Amino Acids (AA) 106\u0026ndash;163), a zinc finger binding domain (AA 462\u0026ndash;645), a protein hydrolysis cleavage site (AA 703\u0026ndash;740), a CREB-binding protein domain (AA 827\u0026ndash;1131), a trans-activation domain 2 (AA 1044\u0026ndash;1322), and a trans-activation domain 1 (AA 1376\u0026ndash;1580)[18]. Abnormalities in GLI3 function are associated with the occurrence and development of various developmental diseases and cancers, while \u003cem\u003eGLI3\u003c/em\u003e variants may lead to varying clinical phenotypes in different families[19].\u003c/p\u003e\u003cp\u003eWe investigated ten families with limb abnormalities and identified ten \u003cem\u003eGLI3\u003c/em\u003e gene variants. The protein encoded by \u003cem\u003eGLI3\u003c/em\u003e has important roles in embryonic development, particularly in limb formation. These variations potentially affected normal GLI3 protein function, leading to limb abnormalities. Studying these variations will help us better understand \u003cem\u003eGLI3\u003c/em\u003e gene roles in limb development and how these variations lead to disease. Importantly, this approach is critical for diagnosis, genetic counseling, and future treatment strategies. The clinical phenotypes of patients with \u003cem\u003eGLI3\u003c/em\u003e mutation-induced limb malformations are complex and varied, including PPD, PAP, syndactyly, and other syndromes. Until now, no hotspot mutations associated with limb malformations were identified in \u003cem\u003eGLI3\u003c/em\u003e; therefore, the clinical diagnostics is highly dependent on high-throughput sequencing. In our ten cases, clinical heterogeneity was observed in association with different \u003cem\u003eGLI3\u003c/em\u003e variants, with significant clinical presentation differences. \u003cem\u003eGLI3\u003c/em\u003e missense, nonsense, and frameshift mutations, and also a large fragment deletion caused limb deformities. Family members with identical \u003cem\u003eGLI3\u003c/em\u003e variants also differed in terms of clinical presentation, with allelic heterogeneity. In the c.2374C\u0026thinsp;\u0026gt;\u0026thinsp;T(p.Arg792*) variant reported by Kalff-Suske et al.[20], their patient had Greig cephalopolysyndactyly syndrome (GCPS) with clinical PPD manifestations as well as syndactyly of the hands and feet, macrocephaly, a broad nasal root with mild hypertelorism, and a prominent forehead. Proband 3 in our study also had this mutation, but it clinically presented with non-syndromic PAP of both hands and feet. In the c.1096 C\u0026thinsp;\u0026gt;\u0026thinsp;T(p.Arg366*) variant reported by Debeer et al.[21], their patient had GCPS with bilateral polydactyly of both hands and feet, a broad nose, wide spacing, forehead bulge, and a high and wide forehead. In our study, pedigree 8 also had this variant, but clinically presented as non-syndromic, with polydactyly. In the c.811_812delCT(p.Leu271Serfs*5) variant reported by Johnston et al.[22], their patient also had GCPS with bilateral polydactyly of both hands and feet, macrocephaly and hypertelorism. In our study, pedigree 2 also had this variant, but clinically presented with non-syndromic bilateral polydactyly. In terms of \u003cem\u003eGLI3\u003c/em\u003e variants, we did not identify a clear direct correlation between genotype and phenotype[23]. In their study, revealed a strong genotype-phenotype correlation between the location of truncating variants in \u003cem\u003eGLI3\u003c/em\u003e and syndrome type. The non-syndromic \u003cem\u003eGLI3\u003c/em\u003e variants identified so far do not appear to be restricted to any particular gene region[24]. The discovery of additional non-syndromic \u003cem\u003eGLI3\u003c/em\u003e mutations will help us further characterize this association.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eSeven novel \u003cem\u003eGLI3\u003c/em\u003e variants and three previously reported \u003cem\u003eGLI3\u003c/em\u003e variants were identified in ten Chinese families with polydactyly. Our results broaden the phenotype and pathogenic variant landscape of \u003cem\u003eGLI3\u003c/em\u003e and provide key evidence for precise diagnostics and prenatal prevention.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was approved by the Institutional Review Board of the Institute\u0026nbsp;of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China (015-2015). All participants or the legal guardians of children under 18 signed informed consent sheets prior to enrollment.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp skip=\"true\"\u003eNot applicable.\u003c/p\u003e\n\u003cp skip=\"true\"\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp skip=\"true\"\u003eNational Key Research and Development Program of China (2022YFC2703700), CAMS Innovation Fund for Medical Sciences (CIFMS 2021-I2M-1-051), and Suzhou Medical Health Talents Project9 (RC202403).\u003c/p\u003e\n\u003cp skip=\"true\"\u003e\u003cstrong\u003eAuthors\u0026apos; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp skip=\"true\"\u003eTSY performed most of the experiments and wrote the manuscript; GXY collected and transported the samples; SXF and WXD provided clinical diagnosis and manuscript editing roles; and ZXL conceived and supervised the project.\u003c/p\u003e\n\u003cp skip=\"true\"\u003e\u003cstrong\u003eData Availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp skip=\"true\"\u003eNot applicable.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eZguricas, J., et al., \u003cem\u003eGenetics of limb development and congenital hand malformations.\u003c/em\u003e Plast Reconstr Surg, 1998. \u003cstrong\u003e101\u003c/strong\u003e(4): p. 1126-35.\u003c/li\u003e\n\u003cli\u003eMalik, S., \u003cem\u003ePolydactyly: phenotypes, genetics and classification.\u003c/em\u003e Clin Genet, 2014. \u003cstrong\u003e85\u003c/strong\u003e(3): p. 203-12.\u003c/li\u003e\n\u003cli\u003eFarrugia, M.C. and J. Calleja-Agius, \u003cem\u003ePolydactyly: A Review.\u003c/em\u003e Neonatal Netw, 2016. \u003cstrong\u003e35\u003c/strong\u003e(3): p. 135-42.\u003c/li\u003e\n\u003cli\u003eFujioka, H., et al., \u003cem\u003eMolecular analysis of non-syndromic preaxial polydactyly: preaxial polydactyly type-IV and preaxial polydactyly type-I.\u003c/em\u003e Clin Genet, 2005. \u003cstrong\u003e67\u003c/strong\u003e(5): p. 429-33.\u003c/li\u003e\n\u003cli\u003eBashur, L.A., et al., \u003cem\u003eLoss of jab1 in osteochondral progenitor cells severely impairs embryonic limb development in mice.\u003c/em\u003e J Cell Physiol, 2014. \u003cstrong\u003e229\u003c/strong\u003e(11): p. 1607-17.\u003c/li\u003e\n\u003cli\u003eKronenberg, H.M., \u003cem\u003eDevelopmental regulation of the growth plate.\u003c/em\u003e Nature, 2003. \u003cstrong\u003e423\u003c/strong\u003e(6937): p. 332-6.\u003c/li\u003e\n\u003cli\u003eDeng, H., T. Tan, and L. Yuan, \u003cem\u003eAdvances in the molecular genetics of non-syndromic polydactyly.\u003c/em\u003e Expert Rev Mol Med, 2015. \u003cstrong\u003e17\u003c/strong\u003e: p. e18.\u003c/li\u003e\n\u003cli\u003eZou, Q., et al., \u003cem\u003eA novel missense in GLI3 possibly affecting one of the zinc finger domains may lead to postaxial synpolydactyly: case report.\u003c/em\u003e BMC Med Genet, 2019. \u003cstrong\u003e20\u003c/strong\u003e(1): p. 174.\u003c/li\u003e\n\u003cli\u003e\u003cem\u003eNew insights into genotype-phenotype correlation for GLI3 mutations.\u003c/em\u003e European journal of human genetics : EJHG, 2015.\u003c/li\u003e\n\u003cli\u003eKang, S., et al., \u003cem\u003eGene structure and allelic expression assay of the human GLI3 gene.\u003c/em\u003e Human Genetics, 1997. \u003cstrong\u003e101\u003c/strong\u003e(2): p. 154-157.\u003c/li\u003e\n\u003cli\u003eRuiz i Altaba, A., \u003cem\u003eGli proteins encode context-dependent positive and negative functions: implications for development and disease.\u003c/em\u003e Development, 1999. \u003cstrong\u003e126\u003c/strong\u003e(14): p. 3205-16.\u003c/li\u003e\n\u003cli\u003eMatissek, S.J. and S.F. Elsawa, \u003cem\u003eGLI3: a mediator of genetic diseases, development and cancer.\u003c/em\u003e Cell Commun Signal, 2020. \u003cstrong\u003e18\u003c/strong\u003e(1): p. 54.\u003c/li\u003e\n\u003cli\u003eAl-Qattan, M.M., et al., \u003cem\u003eGLI3-related polydactyly: a review.\u003c/em\u003e Clinical Genetics, 2017.\u003c/li\u003e\n\u003cli\u003eMiller, S.A., D.D. Dykes, and H.F. Polesky, \u003cem\u003eA simple salting out procedure for extracting DNA from human nucleated cells.\u003c/em\u003e Nucleic Acids Res, 1988. \u003cstrong\u003e16\u003c/strong\u003e(3): p. 1215.\u003c/li\u003e\n\u003cli\u003eWei, X., et al., \u003cem\u003eIdentification of sequence variants in genetic disease-causing genes using targeted next-generation sequencing.\u003c/em\u003e PLoS One, 2011. \u003cstrong\u003e6\u003c/strong\u003e(12): p. e29500.\u003c/li\u003e\n\u003cli\u003eBiesecker, L.G., \u003cem\u003ePolydactyly: how many disorders and how many genes?\u003c/em\u003e Am J Med Genet, 2002. \u003cstrong\u003e112\u003c/strong\u003e(3): p. 279-83.\u003c/li\u003e\n\u003cli\u003eTonkin, M.A., \u003cem\u003eFailure of differentiation part I: Syndactyly.\u003c/em\u003e Hand Clin, 2009. \u003cstrong\u003e25\u003c/strong\u003e(2): p. 171-93.\u003c/li\u003e\n\u003cli\u003eIto, S., et al., \u003cem\u003eNovel GLI3 variant causing overlapped Greig cephalopolysyndactyly syndrome (GCPS) and Pallister-Hall syndrome (PHS) phenotype with agenesis of gallbladder and pancreas.\u003c/em\u003e Diagn Pathol, 2018. \u003cstrong\u003e13\u003c/strong\u003e(1): p. 1.\u003c/li\u003e\n\u003cli\u003eTickle, C. and M. Towers, \u003cem\u003eSonic Hedgehog Signaling in Limb Development.\u003c/em\u003e Front Cell Dev Biol, 2017. \u003cstrong\u003e5\u003c/strong\u003e: p. 14.\u003c/li\u003e\n\u003cli\u003eKalff-Suske, M., et al., \u003cem\u003ePoint mutations throughout the GLI3 gene cause Greig cephalopolysyndactyly syndrome.\u003c/em\u003e Hum Mol Genet, 1999. \u003cstrong\u003e8\u003c/strong\u003e(9): p. 1769-77.\u003c/li\u003e\n\u003cli\u003eDebeer, P., et al., \u003cem\u003eVariable phenotype in Greig cephalopolysyndactyly syndrome: clinical and radiological findings in 4 independent families and 3 sporadic cases with identified GLI3 mutations.\u003c/em\u003e Am J Med Genet A, 2003. \u003cstrong\u003e120a\u003c/strong\u003e(1): p. 49-58.\u003c/li\u003e\n\u003cli\u003eJohnston, J.J., et al., \u003cem\u003eMolecular and clinical analyses of Greig cephalopolysyndactyly and Pallister-Hall syndromes: robust phenotype prediction from the type and position of GLI3 mutations.\u003c/em\u003e Am J Hum Genet, 2005. \u003cstrong\u003e76\u003c/strong\u003e(4): p. 609-22.\u003c/li\u003e\n\u003cli\u003eMumtaz, S., et al., \u003cem\u003eComplex postaxial polydactyly types A and B with camptodactyly, hypoplastic third toe, zygodactyly and other digit anomalies caused by a novel GLI3 mutation.\u003c/em\u003e Eur J Med Genet, 2017. \u003cstrong\u003e60\u003c/strong\u003e(5): p. 268-274.\u003c/li\u003e\n\u003cli\u003eWang, Z., et al., \u003cem\u003eNovel frame-shift mutations of GLI3 gene in non-syndromic postaxial polydactyly patients.\u003c/em\u003e Clin Chim Acta, 2014. \u003cstrong\u003e433\u003c/strong\u003e: p. 195-9.\u003c/li\u003e\n\u003c/ol\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":"GLI family zinc finger 3 (GLI3), limb malformations, next generation sequencing, novel variant","lastPublishedDoi":"10.21203/rs.3.rs-7091124/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7091124/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eGLI family zinc finger 3 (GLI3) is a transcription factor involved in limb development. \u003cem\u003eGLI3\u003c/em\u003e gene variants have been shown to be associated with several human congenital limb malformations, including Greig's head polydactyly and syndactyly, Pallister\u0026ndash;Hall syndrome, non-syndromic postaxial polydactyly (PAP-A/B), and preaxial polydactyly type IV (PPD IV). The aim of this study was to identify \u003cem\u003eGLI3\u003c/em\u003e gene variants in ten Chinese families with limb malformations.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e\u003cp\u003eTen Chinese families with limb malformations were recruited. Variant screening in probands was then performed using next generation sequencing, with candidate pathogenic variants verified by polymerase chain reaction (PCR) combined with Sanger DNA sequencing. Variant pathogenicity was evaluated using bioinformatics, evolutional conservation, and disease and mutant allele co-segregation approaches. The biological effects of missense variants were predicted by three-dimensional protein conformation analysis.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eTen different \u003cem\u003eGLI3\u003c/em\u003e variants were identified, including two missense variants: c.1063G\u0026thinsp;\u0026gt;\u0026thinsp;A (p.Val355Ile) and c.1489C\u0026thinsp;\u0026gt;\u0026thinsp;A (p.Leu497Ile), four nonsense variants: c.2374C\u0026thinsp;\u0026gt;\u0026thinsp;T (p.Arg792*), c.2008C\u0026thinsp;\u0026gt;\u0026thinsp;T (p.Gln670*), c.1096 C\u0026thinsp;\u0026gt;\u0026thinsp;T(p.Arg366*), and c.2029C\u0026thinsp;\u0026gt;\u0026thinsp;T(p.Gln677*), three small deletions: c.600delC (p.Tyr200*), c.1880_1881del(p.His627Argfs*48), and c.811_812delCT(p.Leu271Serfs*5), and a large gross deletion g.42061081_42069739. Seven of these ten variants were not recorded in the Human Gene Mutation Database (HGMD).\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e\u003cp\u003eTen \u003cem\u003eGLI3\u003c/em\u003e variants were successfully identified in families with different limb malformations, and indicate clinical and allelic \u003cem\u003eGLI3\u003c/em\u003e heterogeneity-related limb malformations. This work expands the \u003cem\u003eGLI3\u003c/em\u003e gene-variant landscape and associated clinical disease manifestations, and provides solid evidence for genetic counseling and prenatal gene diagnostics in affected families.\u003c/p\u003e","manuscriptTitle":"The molecular characterization of seven novel GLI family zinc finger 3 (GLI3) variants in Chinese families with limb malformations","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-17 09:02:27","doi":"10.21203/rs.3.rs-7091124/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":"2f08d2cd-904f-4b18-b337-48e182fe6482","owner":[],"postedDate":"July 17th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-10-16T08:39:10+00:00","versionOfRecord":[],"versionCreatedAt":"2025-07-17 09:02:27","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7091124","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7091124","identity":"rs-7091124","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}