Investigation of biomarkers in Endometriosis-associated infertility: Systematic Review

<!-- Brasil - Investigation of biomarkers in Endometriosis-associated infertility: Systematic Review Investigation of biomarkers in Endometriosis-associated infertility: Systematic Review window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-MKLVK7B5B6'); (function() { function getCookie(name) { const cookieName = encodeURIComponent(name) + "="; const cookies = document.cookie ? document.cookie.split("; ") : []; const cookie = cookies.find(function(item) { return item.indexOf(cookieName) === 0; }); return cookie ? decodeURIComponent(cookie.substring(cookieName.length)) : null; } function getStoredValue(storage, legacyStorage) { const cookieValue = getCookie(storage); if (cookieValue !== null) return cookieValue; return legacyStorage && sessionStorage.getItem(legacyStorage) ? sessionStorage.getItem(legacyStorage) : null; } const fontSize = parseFloat(getStoredValue("scieloAccessibilityFontSize", "fontSizeState")); if (!Number.isNaN(fontSize) && fontSize !== 100) { const htmlFontSize = parseFloat( getComputedStyle(document.documentElement).getPropertyValue("font-size") ); document.documentElement.style.fontSize = (fontSize / 100) * htmlFontSize + "px"; } document.body.classList.toggle( "contrast", getStoredValue("scieloAccessibilityContrast", "contrastState") === "true" ); document.body.classList.toggle( "scielo__theme--dark", getStoredValue("scieloAccessibilityDarkMode", "darkState") === "true" ); document.body.classList.toggle( "accessibility_readingLine", getStoredValue("scieloAccessibilityReadingLine") === "true" ); document.body.classList.toggle( "accessibility_markerLine", getStoredValue("scieloAccessibilityMarkerLine") === "true" ); })(); .articleTxt{ top: -16px; } .scielo__border-top{ border-top: 1px solid #ccc !important; } @media (max-width: 575.98px) { .articleCtt > .container{ padding-left: 0; padding-right: 0; } .articleCtt .articleTxt{ padding-left: 16px !important; padding-right: 16px !important; } } @media (min-width: 768px){ .scielo__truncate{ display: block; max-width: 285px; } } menu Menu Brasil Lista alfabética de periódicos Lista temática de periódicos Busca Métricas (abre em nova aba) Sobre o SciELO Brasil Contatos Reportar erro SciELO.org - Rede SciELO (abre em nova aba) Coleções nacionais e temáticas (abre em nova aba) Lista alfabética de periódicos (abre em nova aba) Lista de periódicos por assunto (abre em nova aba) Busca (abre em nova aba) Métricas (abre em nova aba) Acesso OAI e RSS (abre em nova aba) Sobre a Rede SciELO (abre em nova aba) Contatos (abre em nova aba) Blog SciELO em Perspectiva (abre em nova aba) document.addEventListener('DOMContentLoaded', function () { const wrapper = document.getElementById('scieloMainMenu'); const toggle = document.getElementById('scieloMainMenuToggle'); const panel = document.getElementById('scieloMainMenuNav2'); if (!wrapper || !toggle || !panel) return; const icon = toggle.querySelector('.material-icons-outlined'); const focusableSelector = [ 'a[href]', 'button:not([disabled])', 'input:not([disabled])', 'select:not([disabled])', 'textarea:not([disabled])', '[tabindex]:not([tabindex="-1"])' ].join(','); function setIcon(iconName) { if (icon) { icon.textContent = iconName; } } function getFocusableItems() { return Array.prototype.slice.call(panel.querySelectorAll(focusableSelector)) .filter(function (item) { return item.offsetParent !== null; }); } function openMenu() { panel.hidden = false; toggle.setAttribute('aria-expanded', 'true'); wrapper.classList.add('is-open'); setIcon('close'); const focusableItems = getFocusableItems(); if (focusableItems.length) { focusableItems[0].focus(); } } function closeMenu(options) { const settings = options || {}; panel.hidden = true; toggle.setAttribute('aria-expanded', 'false'); wrapper.classList.remove('is-open'); setIcon('menu'); if (settings.restoreFocus) { toggle.focus(); } } function isMenuOpen() { return toggle.getAttribute('aria-expanded') === 'true'; } toggle.addEventListener('click', function (event) { event.preventDefault(); event.stopPropagation(); if (isMenuOpen()) { closeMenu({ restoreFocus: true }); } else { openMenu(); } }); panel.addEventListener('click', function (event) { event.stopPropagation(); }); document.addEventListener('click', function (event) { if (isMenuOpen() && !wrapper.contains(event.target)) { closeMenu(); } }); document.addEventListener('keydown', function (event) { if (!isMenuOpen()) return; if (event.key === 'Escape') { event.preventDefault(); closeMenu({ restoreFocus: true }); return; } if (event.key !== 'Tab') return; const focusableItems = getFocusableItems(); if (!focusableItems.length) return; const firstItem = focusableItems[0]; const lastItem = focusableItems[focusableItems.length - 1]; if (event.shiftKey && document.activeElement === firstItem) { event.preventDefault(); toggle.focus(); return; } if (!event.shiftKey && document.activeElement === toggle) { event.preventDefault(); firstItem.focus(); return; } if (!event.shiftKey && document.activeElement === lastItem) { closeMenu(); } }); }); Brasil language pt_BR Português English Español Anais da Academia Brasileira de Ciências Mostrar opções launch Submissão de manuscritos info Sobre o periódico help_outline Política editorial people Corpo Editorial help_outline Instruções aos autores email Contato show_chart Métricas home Sumário navigate_before Anterior Atual Seguinte navigate_next Texto (EN) Texto (Inglês) PDF Download PDF (Inglês) article Conteúdo: Texto (EN) Texto (Inglês) Download PDF (Inglês) (abre em nova aba) share Whatsapp BlueSky Mastodon Facebook Mais home Sumário share Whatsapp BlueSky Mastodon Facebook Mais Texto (EN) Texto (Inglês) PDF Download PDF (Inglês) (abre em nova aba) HEALTH SCIENCES • An. Acad. Bras. Ciênc. 94 (suppl 3) • 2022 • https://doi.org/10.1590/0001-3765202220211572 link copy Investigation of biomarkers in Endometriosis-associated infertility: Systematic Review Authorship SCIMAGO INSTITUTIONS RANKINGS Abstract The relationship between endometriosis and infertility is still unknown, but it is possible that genetic polymorphisms influence these two variables. This study aims to identify, in the literature, which polymorphisms are related to infertility in women with endometriosis. A search was performed in databases using the descriptors: polymorphisms genetics and infertility and endometriosis. 386 articles were identified, and after applying the inclusion and exclusion criteria, 33 case-control studies were included. Genes and their respective polymorphisms, which exhibited statistically significant values, were classified into three categories: related to metabolic/cellular processes, steroidogenesis and sex hormone receptors, inflammation and immune response. In summary, the results of these studies suggest that the polymorphisms rs882605 of MUC4 gene, rs16826658 of WNT4 gene, rs10953316 of MUC17 gene, rs10928050 of KAZN gene, rs1799889 of PAI-1 gene, (TA)n repeats of ESR1 gene, (CA)n repeats of ESR2 gene, rs605059 of HSD17B1 gene, rs743572 of CYP17A1 gene, insLQ of LHR gene, p.Ile49Ser of AMH gene, rs12700667 of NPVF/NFE2L3 gene, G1502A of LHβ gene, G + 1730A of ERβ gene, rs7528684 of FCRL3 gene, rs3761549 of FOXP3 gene and rs28362491 of NFKβ1 gene are implicated in the etiology of infertility in women with endometriosis. Key words endometriosis; genetic polymorphism; infertility; Systematic Review INTRODUCTION Infertility is the disability attributed to a person or couple who, after a year of unprotected sexual intercourse, does not result in pregnancy. It affects about 15% of the world population, with equal contribution of male and female factors ( Bala et al. 2021 ). A recent review shows the contribution of environmental and lifestyle factors, such as radiation, pollution, stress, smoking, alcohol consumption, caffeine, obesity, exposure to pesticides, fertilizers, socioeconomic and demographic factors, among others, in physiology and its effect on female fertility ( Bala et al. 2021 ). Other causes include genetic alterations ( Yatsenko & Rajkovic 2019 ), ovulatory dysfunctions, tubal factors, idiopathic infertility and endometriosis ( Bala et al. 2021 ). Endometriosis is a gynecological condition characterized by abnormal growth of the endometrial stroma and glands outside the uterus. The gold-standard method for its diagnosis is the performance of a surgical procedure called laparoscopy, in which inspection of the abdominal cavity and biopsy are performed for histological confirmation of suspicious lesions. Thus, the prevalence of endometriosis remains unknown due to the lack of non-invasive diagnostic tests for its detection. It is estimated to affect 0.8% to 6% of women in the general population and up to 50% of those infertile ( Marian & Hermanowick-Szamatowicz 2020 ). Patients with endometriosis may present, mainly, alterations in menstrual cycles, chronic pelvic pain, dysmenorrhea, dyspareunia, dyschezia, dysuria and infertility. A systematic review analyzed the prevalence of endometriosis symptoms and found values ​​ranging from 34% to 56% for dyspareunia, 32% and 53% for pelvic pain, 56% to 71% for dysmenorrhea, 72% and 87% for abnormal menstrual flow and 17% to 35% for infertility ( Sousa et al. 2015 ). A Brazilian survey on clinical aspects and quality of life showed that clinical manifestations such as dyspareunia and pain significantly interfere in the quality of life of women with endometriosis and infertility ( Pessoa et al. 2020 ). A recent study highlights the importance of a multidisciplinary approach to the treatment of endometriosis and associated infertility, including the need for accurate counseling by psychologists and sexologists ( La Rosa et al. 2020a ). Thus, there is a consensus in the literature that endometriosis is a multidimensional disease that adversely influences the lives of affected women in different ways ( La Rosa et al. 2020b ). The exact cause and effect mechanism of the association between endometriosis and infertility is unknown. Two recent studies ( Broi et al. 2019 , Khan 2020 ) discuss in detail the proposed mechanisms by which endometriosis causes infertility, which include distorted pelvic anatomy (affects oocyte and sperm transport), altered peritoneal function (increased inflammatory cytokines induce reduced ovarian response and alter sperm motility), ovulatory dysfunction (greater probability of unruptured luteinized follicles promoting a dysregulation in folliculogenesis and a reduction in oocyte quality), effects on gametes and embryos (endometromas lead to accelerated depletion of follicles and inferior embryos are produced for reasons not well understood), impaired implantation (several mechanisms have been proposed such as dysregulation in gene expression and high levels of cytokines) and abnormal uterotubal transport (which makes fertilization difficult and reduces the chances of pregnancy). Another possible mechanism involved in endometriosis-related infertility is reduced endometrial receptivity, which deserves further investigation ( Broi et al. 2019 ). Due to the complexity of this association, the treatment of infertility associated with endometriosis must be individualized, taking into account some important aspects, such as the patient’s age, her ovarian reserve, the stage of the disease, the presence of pelvic pain, endometrioma and previous surgical intervention, the presence or absence of tubal anomaly and the partner’s seminal quality ( Navarro 2019 ). Despite numerous published works, endometriosis currently remains an enigmatic condition, since its etiology is not fully understood (Szamatowicz & Hermanowicz-Szamatowicz 2020). Immunological, hormonal, environmental and genetic factors may play a role in the pathogenesis of this chronic disease, and in relation to the latter, the investigation of the possible contribution of genetic polymorphisms to the development of endometriosis is increasing ( Deiana et al. 2019 , Vassilopoulou et al. 2019 , Méar et al. 2020 ). To our knowledge, there are no systematic review articles in the literature addressing the issue of genetic polymorphisms, infertility and endometriosis. Thus, this study aimed to identify, in the literature, which polymorphisms are related to infertility in women with endometriosis. MATERIALS AND METHODS Protocol and Registration This systematic review was structured according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) ( Liberati et al. 2009 ) and the protocol was submitted and registered under ID CRD42020210154 in the international database PROSPERO (International Prospective Register of Systematic Reviews). Eligibility criteria As inclusion criteria, works considered were those fully available; those specifically addressing genetic polymorphisms and infertility in women with endometriosis; in Portuguese, English or Spanish; published up to the date of the electronic search, also being case-control studies. Those who did not meet the previously established inclusion criteria were excluded. Study search and selection strategy The search for scientific articles was carried out on December 9, 2020, independently, by two researchers (E.M.E. and S.C.S.V.T.), in the following databases: SciELO, Scopus, Web of Science, Pubmed and CINAHL, using the descriptors polymorphisms genetics AND infertility AND endometriosis. The strategies were slightly modified considering the specificities of the consulted databases. After excluding duplicate works, the titles and abstracts of the articles were read for selection and, later, those selected were read in full, following the eligibility criteria to be considered valid in this systematic review. Data analysis The full reading of the articles was carried out, followed by selection and synthesis of the main data through the construction of tables and figures. The data analyzed were: country, sample size, genotyping method, gene, polymorphisms, polymorphic allele frequency, HWE (Hardy-Weinberg Equilibrium), p value (genotypic frequency) and quality. To confirm the identity of the genetic polymorphism, classification of function and chromosomal location of each gene, the dbSNPs databases were used (https://www.ncbi.nlm.nih.gov/snp), Gene (https://www.ncbi.nlm.nih.gov/gene) and GeneCards (https://www.genecards.org/), respectively in the Homo sapiens organism. Quality assessment of selected articles was performed using the Joanna Briggs Institute (JBI) questionnaire for case-control studies ( Moola et al. 2020 ). Three researchers (E.M.E.; M.T.R.C. and S.C.S.V.T.) carried out this analysis, with one point being attributed to each item included in the study. The cases of disagreement between the assigned grades were resolved through a consensus among the researchers. RESULTS The result of the search in the databases for articles that dealt with genetic polymorphisms and infertility in women with endometriosis is shown in Figure 1 . The thirty-three articles analyzed were case-control studies, with diagnostic confirmation by videolaparoscopy, with 21 (63.6%) including patients with endometriosis and control ( Table I ) and 12 studies (36.4%) additionally investigating a group of patients with idiopathic infertility ( Table II ). Thumbnail Table I Characteristics of studies that analyzed patients with endometriosis (ED) and controls (C). Thumbnail Table II Characteristics of studies that analyzed patients with endometriosis (ED), patients with idiopathic infertility (II) and controls (C). Figure 1 Flowchart of the search and selection of studies for systematic review. The published studies covered mostly the last decade and populations from different countries were analyzed, with a predominance of studies conducted in Brazil (57.6%). As for the number of samples analyzed, the largest was 650 fertile women as a control group and 394 infertile women with endometriosis. The smallest sample number analyzed was 18 fertile and 17 infertile women as control and case groups, respectively. The most used genotyping methods were allelic discrimination (42.4%) and PCR-RFLP (Polymerase Chain Reaction-Restriction Fragment Length Polymorphism) (39.4%). Regarding genes, four studies analyzed FCRL3 , three the CYP19A1 , two the WNT4 , two the TP53 , two the ERβ and two the LHβ . The other genes were investigated only once. Of the thirty-three studies, ten (30.3%) did not perform the HWE calculation. As for the analysis of the quality of the works, regardless of the composition of the study groups, there was a predominance of grades eight and nine in 23 studies (70.00%), which demonstrates good quality. The minimum score achieved by the studies presented in Table I was four and six for Table II . It was observed that studies in Table I with a sample of less than 50 had low quality scores (ranging from 4 to 6). Figure 2 shows the genes and their respective polymorphisms with statistically significant results and was elaborated from data presented in Tables I and II . Figure 2 Genes and their respective polymorphisms that exhibited statistically significant values with endometriosis-related infertility (C: control; ED: endometriosis and II: idiopathic infertility). Regarding the functions, the classification of these genes is presented in Figure 3 . In the present study, the genes belonging to the metabolic/cellular processes classes, steroidogenesis and sex hormone receptors, inflammation and immune response have been linked to infertility in women with endometriosis. The genes shown in Figure 3 are located on the following human chromosomes: 1 ( WNT4 , KAZN , FCRL3 ), 2 ( LHR ), 3 ( MUC4 ), 4 ( NFKβ1 ), 6 ( ESR1 ), 7 ( MUC17, PAI-1, NPVF/NFE2L3 ), 10 ( CYP17A1 ) 14 ( ESR2, ERβ ), 17 ( HSD17B1 ), 19 ( AMH, LHβ ) and X ( FOXP3 ). Figure 3 Classification of gene functions with statistically significant polymorphisms. DISCUSSION Endometriosis is an important cause of female infertility and affects women of childbearing age. However, the etiopathogenesis of endometriosis associated with infertility remains unknown ( Lete 2019 ). Thus, studies investigating the relationship among genetic polymorphisms, infertility and endometriosis can help to understand the molecular mechanisms involved in the pathophysiology of these conditions. It was found that most of the studies included in this systematic review were carried out in Brazil, by groups of related researchers, evidencing the concern of the Brazilian scientific community about endometriosis and female infertility, highlighting the country’s position in the production of scientific knowledge. Studies that evaluate genetic polymorphisms need a sufficient sample size so that the analyses performed have robust statistical power to determine whether the associations, if observed, are true ( Cardoso et al. 2020 ). Variability was observed in the sample number of studies included in this study, which can be attributed to the fact that the only currently reliable method for diagnosing endometriosis is videolaparoscopy, a surgical and invasive procedure ( Kiesel & Sourouni 2019 , Lete 2019 ). Thus, it is essential to search for non-invasive diagnostic methods such as imaging tests, genetic tests and/or biomarkers ( Kiesel & Sourouni 2019 ). The most used genotyping techniques were allelic discrimination and PCR-RFLP, which were predominant because they are more common, with low cost and high specificity ( Zaha et al. 2014 ). In analyses with genetic polymorphisms, the HWE calculation is used to explain whether evolutionary factors (natural selection, mutation effects, genetic drift and gene flow) influenced the genotypic and allelic frequencies of the genes studied ( Hartl & Clark 2010 ). However, it was not verified in all studies. This study observed that some polymorphisms in genes related to metabolic/cellular processes, steroidogenesis and sex hormone receptors, and inflammation and immune response were associated with the development of infertility and endometriosis in different populations. In relation to the first class of genes, mucins are high molecular weight glycoproteins with a significant role in the progression of several types of cancers ( Marimuthu et al. 2021 ). Considering that endometriosis has several similarities with cancer, changes in mucins, both in the level of gene expression and polymorphic variations, may contribute to the development of this gynecological condition ( Yang et al. 2015 ). Although two studies associate isolated polymorphisms of genes MUC4 - rs882605 ( Chang et al. 2011 ) and MUC17 - rs10953316 ( Yang et al. 2015 ) with endometriosis and infertility, a recent study described that the MUC4 haplotypes referring to rs2291653/rs2291654/rs375068067 may contribute to the increased risk of endometriosis ( Kim et al. 2020 ). The WNT4 gene is exclusively involved in the development of the female phenotype in the fetus and in the maintenance of Müllerian and reproductive tissues, thus highlighting its fundamental role in gender determination and differentiation of the female reproductive system. Furthermore, polymorphisms in this gene appear to be involved in the pathogenesis of some gynecological conditions that include various types of cancers, uterine fibroids, endometriosis and infertility ( Pitzer et al. 2021 ). Corroborating the data presented here, the rs16826658 polymorphism of the WNT4 gene was associated with endometriosis in a recent systematic review, together with the rs2235529 ( Méar et al. 2020 ). Variations in the KAZN gene may contribute to endometrial cell adhesion outside the uterine cavity and would justify the role of the rs10928050 polymorphism in endometriosis associated with infertility ( Christofolini et al. 2019 , Vassilopoulou et al. 2019 ). Just as the WNT-4 gene, PAI-1 , which belongs to the fibrinolytic system, is related to reproductive diseases such as polycystic ovary syndrome, gestational diabetes mellitus, pre-eclampsia and endometriosis. With a similar function in tumor cells, PAI-1 promotes invasion of endometriotic cells during endometriosis. In general, an increased expression of PAI-1 in the blood is associated with an increased risk of infertility and a worse pregnancy outcome ( Ye et al. 2017 ). A recent study showed high expression of PAI-1 in endometriosis and an association between PAI-1 and worsening of dysmenorrhea, a common clinical sign in patients with this gynecological disease ( Alotaibi et al. 2019 ). The rs1799889 polymorphism has been associated with an increased risk of developing endometriosis and infertility ( Gonçalves-Filho et al. 2011 ). It has also been linked to gestational diabetes mellitus and polycystic ovary syndrome ( Ye et al. 2017 ). A systematic review carried out to assess the role of genetic polymorphisms in endometriosis did not find any association of the PAI-1 gene rs1799889 polymorphism, whose official symbol is SERPINE1 , with endometriosis ( Méar et al. 2020 ). Finally, the NFE2L3 gene encodes a transcription factor that participates in the regulation of cell differentiation, inflammation and carcinogenesis ( Cardoso et al. 2020 ). A meta-analysis showed that four Genome-Wide Association Study (GWAS) found a strong association of SNP loci in endometriosis, including the rs12700667 polymorphism located between the NPVF and NFE2L3 genes at 7p15.2 ( Sapkota et al 2015 ). This polymorphism is located upstream of the gene family cluster, which includes HOXA 10 (Homeobox A10) and HOXA 11 (Homeobox A11), transcription factors that may play important roles in uterine development. The HOXA 10 gene may also be involved in the regulation of embryo implantation and other aspects of endometriosis, which may partially explain the infertility in these patients ( Fung et al. 2015 ). Endometriosis is a complex disease characterized by a chronic estrogen-dependent inflammatory process that primarily affects pelvic tissues, including the ovaries ( Bulun et al. 2019 ). When endometrial tissue grows outside the uterine cavity, progesterone and estrogen signaling are disrupted, often resulting in progesterone resistance and estrogen dominance. This hormonal imbalance leads to increased inflammation and can also increase pelvic pain from the disease and decrease endometrial receptivity to embryo implantation. A review of the literature focuses on the molecular mechanisms that govern progesterone and estrogen signaling that support endometrial function and how they become deregulated in endometriosis. This approach is important to understand how these mechanisms contribute to the pelvic pain and infertility associated with endometriosis, as it may open new avenues for medical therapies aimed at providing relief to millions of women suffering from their effects ( Marquardt et al. 2019 ). For this reason, polymorphisms in the ESR1 and ESR2 genes, the latter also known as ER-β , may be related to endometriosis. A meta-analysis including 17,045 cases of endometriosis and 191,596 controls identified five new gene loci involved in sex steroid hormone pathways significantly associated with the risk of endometriosis, including ESR1 ( Sapkota et al. 2017 ). Another meta-analysis published in 2016 was conducted to analyze associations between the three ESR1 gene polymorphisms and endometriosis. Only the (TA)n polymorphism could contribute to susceptibility to, or the protection against, the pathogenesis of endometriosis ( Zhao et al. 2016 ). The 17β-hydroxysteroid dehydrogenase 1 protein, with several isoforms expressed in the endometrium, participates in estrogen metabolism pathways by catalyzing the conversion of estrone to a biologically active form of estradiol in the final phase of estrogen synthesis ( Mu et al. 2015 , Gibson et al. 2020 ). The rs605059 polymorphism of the HSD17B1 gene has been investigated in some studies and has shown an association with risk of endometrial cancer, endometriosis, uterine myoma and stage I and II infertility ( Osiński et al. 2018a , Mu et al. 2015 ). However, a study that evaluated the expression of this gene did not show differences in the levels of transcripts in the eutopic endometrium of fertile women compared to infertile women with endometriosis ( Osiński et al. 2018b ). Cytochrome P450 enzymes participate in androgen synthesis through cholesterol metabolism. The P450c17α enzyme, encoded by the CYP17A1 gene, participates in the conversion of androgens (androsteredione and testosterone) into estrogens (estrone and estradiol). Androgens have an impact on processes related to the establishment of endometriotic lesions (such as proliferation, tissue remodeling and repair), which are characterized by high concentrations of testosterone ( Simitsidellis et al. 2018 ). The rs743572 polymorphism of this gene may be associated with increased estradiol production. The study by Cong et al. in 2018 showed that the T allele of this polymorphism could act as a risk factor for endometriosis, although it has no effect on disease stages and its characteristics. In addition, according to Méar et al. 2020 this gene and its polymorphism was associated with endometriosis; confirmation is required, though. Endometriosis can also lead to ovulatory dysfunction, compromised folliculogenesis, defective implant, ectopic endometrial changes, abnormal peritoneal immune environment, and luteal phase problems leading to infertility ( Caldeira et al. 2017 ). The effect of hormones involved in folliculogenesis, such as follicle-stimulating hormone (FSH) and luteinizing hormone (LH), have a direct effect on endometriosis that remains unclear ( Zondervan et al. 2018 ). The LHR gene is expressed in theca cells in the ovary, also in granulosa and cumulus cells. The rs4539842 (insLQ) polymorphism is characterized by the insertion of the CTCCAG sequence that results in the insertion of two amino acids (Leu-Gln/LQ) and is involved in the production of estradiol ( Borgbo et al. 2018 ), while the change in position 1502 of the LHB gene may have a potential effect on LH function and may be related to endometriosis and infertility. AMH (Anti-Mülerian Hormone) is an important hormone, especially in reproductive organs of women, and a promising biomarker in reproductive medicine ( Bedenk et al. 2020 ). A previous study showed a possible involvement of AMH in endometriosis through the high expression of protein and mRNA in the endometrium and endometriotic lesions ( Carrarelli et al. 2014 ). Other recent research reported a decrease in AMH, suggesting a reduction in ovarian reserve in patients with endometriosis, especially in those with advanced stage ovarian endometrioma ( Tian et al. 2021 ). Inflammation is known to be the central process of endometriosis. It can lead to pain, remodeling of neighboring tissues, fibrosis, adhesion formation and infertility ( Bulun et al. 2019 ). The influence of immune cells on the onset and progression of endometriosis is discussed in detail in a recent narrative review of the literature ( Crispim et al. 2021 ). In this sense, polymorphisms in genes related to inflammation and immune response may contribute to endometriosis and infertility. The FCRL3 gene rs7528684 polymorphism has been investigated in several autoimmune diseases, such as systemic lupus erythematosus ( Song et al. 2013 ), multiple sclerosis ( Yuan et al. 2016 ), rheumatoid arthritis ( Lin et al. 2016 ), among others. A systematic review and meta-analysis was conducted to investigate an association between endometriosis and autoimmune diseases considering that abnormalities in the immune system have been suggested to explain the origin of ectopic endometrial tissues. The results showed that genetic analyzes are needed to clarify whether endometriosis is a risk factor for, or a consequence of, autoimmune diseases, and whether these two types of disorders share pathophysiological mechanisms, even if they arise independently ( Shigesi et al. 2019 ). Like the FCRL3 gene, FOXP3 is also related to the development of autoimmune diseases, with the rs3761549 polymorphism being significantly associated with susceptibility to Graves’ disease in two independent meta-analyses ( Li et al. 2020 , Tan et al. 2021 ). However, this polymorphism exhibited no association with cancer susceptibility ( Cheng et al. 2018 , Chen et al. 2019 ), despite endometriosis evidencing common features with carcinogenesis. However, two new pathogenic variants of the FOXP3 gene cause male infertility, suggesting a possible role for this gene in human fertility ( Qiu et al. 2019 ). Inflammation plays a vital role in the onset and progression of endometriosis. The NFκB gene is an important inflammatory regulator in this disease, as it induces cell proliferation, inflammation and inhibits the apoptotic process ( Samimi et al. 2019 ). It participates in the regulation of cytokines and is active in peritoneal endometriotic lesions, possibly due to the increased level of pro-inflammatory cytokines, such as Interleukin-6 (IL-6) and Interleukin-8 (IL-8), which are associated with infertility in the microenvironment of the lesions ( Zondervan et al. 2018 , Samimi et al. 2019 ). The rs2836249 polymorphism, characterized by the deletion of four nucleotides in the gene’s promoter region, leads to lower levels of transcripts that modify mRNA stability ( Fu et al. 2017 ). However, the only study that analyzed this polymorphism in endometriosis showed that the deletion was associated with infertility in these conditions ( Bianco et al. 2012 ). A study published in 2016 analyzed 209 patients with recurrent implantation failures and showed statistically significant differences observed in allelic and genotypic frequencies of the rs28362491 promoter in the NF-κB gene, important in embryonic implantation ( Luo et al. 2016 ). This previous finding could explain the contribution of this polymorphism to the etiology of infertility associated with endometriosis. Regarding the chromosomal location of genes with polymorphisms that exhibited statistical results, our findings corroborate previous studies, which also identified polymorphisms with risk of endometriosis on chromosomes 1, 6 and 7 ( Kiesel & Sourouni 2019 , Cardoso et al. 2019 ). Furthermore, the ESR1 , CYP17A1 , MUC4 , KAZN , WNT4 and NFE2L3 genes identified in this review are considered candidate genes associated with the development of endometriosis (Vassilopoulou et al. 2019, Cardoso et al. 2020 , Smolarz et al. 2020 ). A recent review showed that the following genes might be responsible for potential risk factors for endometriosis-associated infertility: ESR1 , ESR2 , LHB , FOXP3 , FCRL3 , CYP171A1 , MUC17 , WNT4 , and NFKB1 ( Smolarz et al. 2020 ). One of the limitations of the present study was the fact that the meta-analysis was not performed, which constitutes an important statistical support to evidence, in a more robust way, possible biomarkers in infertility in patients with endometriosis. Although the ethnicity factor has not been considered, one must emphasizes that in studies with genetic polymorphisms it is possible that specific risk alleles act differently, in different populations, in the pathogenesis of these conditions. However, this systematic review represents an advance in the search for biomarkers related to infertility and endometriosis, as there is a consensus in the literature on the need for non-invasive diagnostic tests to identify women with a high predisposition to endometriosis. The results of these studies suggest that polymorphisms rs882605 of the MUC4 gene, rs16826658 of the WNT4 gene, rs10953316 of the MUC17 gene, rs10928050 of the KAZN gene, rs1799889 of the PAI-1 gene, (TA)n repeats of the ESR1 gene, (CA)n repeats of the ESR2 gene, rs605059 of the HSD17B1 gene, rs743572 of the CYP17A gene insLQ from the LHR gene, p.Ile49Ser from the AMH gene, rs12700667 from the NPVF/NFE2L3 gene, G1502A from the LHβ gene, G + 1730A from the ERβ gene, rs7528684 from the FCRL3 gene, rs3761549 from the FOXP3 gene and the rs28362491 of the NFK1 gene are implicated in the etiology of infertility in women with endometriosis. ACKNOWLEDGMENTS The authors would like to thank FAPEMIG (Fundação de Amparo à Pesquisa do Estado de Minas Gerais) and the Vice-Rectory of Research and Post Graduation (Pró-Reitoria de Pesquisa e Pós-Graduação) at UFTM for their financial support. REFERENCES ALOTAIBI FT, PENG B, KLAUSEN C, LEE AF, ABDELKAREEM AO, ORR NL, NOGA H, BEDAIWY MA & YONG PJ. 2019. Plasminogen activator inhibitor-1 (PAI-1) expression in endometriosis. PLoS ONE 14: e0219064. ANDRÉ GM, BARBOSA CP, TELES JS, VILARINO FL, CHRISTOFOLINI DM & BIANCO B. 2011. Analysis of FOXP3 polymorphisms in infertile women with and without endometriosis. Fertil Steril 95: 2223-2227. BALA R, SINGH V, RAJENDER S & SINGH K. 2021. Environment, Lifestyle, and Female Infertility. Reprod Sci 28: 617-638. BARBOSA AM, DE SOUZA SR, FRARE AB, COSTA E SILVA RC, DA COSTA IR, FREITAS E SILVA KS, RIBEIRO JÚNIOR CL, BORDIN BM & MOURA KK. 2016. Association of CYP1A1 (cytochrome P450) MspI polymorphism in women with endometriosis. Genet Mol Res 15(3). BEDENK J, VRTAČNIK-BOKAL E & VIRANT-KLUN I. 2020. The role of anti-Müllerian hormone (AMH) in ovarian disease and infertility. J Assist Reprod Genet 37: 89-100. BIANCO B, LERNER TG, TREVISAN CM, CAVALCANTI V, CHRISTOFOLINI DM & BARBOSA CP. 2012. The nuclear factor-kB functional promoter polymorphism is associated with endometriosis and infertility. Hum Immunol 73: 1190-1193. BIANCO B, TELES JS, LERNER TG, VILARINO FL, CHRISTOFOLINI DM & BARBOSA CP. 2011. Association of FCRL3 -169T/C polymorphism with endometriosis and identification of a protective haplotype against the development of the disease in Brazilian population. Hum Immunol 72: 774-778. BORGBO T, CHRUDIMSKA J, MACEK M, JEPPESEN JV, BØTKJÆR JA, KRISTENSEN SG, MACKLON KT, ERNST E, HANSEN LL & YDING ANDERSEN C. 2018. The polymorphic insertion of the luteinizing hormone receptor “insLQ” show a negative association to LHR gene expression and to the follicular fluid hormonal profile in human small antral follicles. Mol Cell Endocrinol 460: 57-62. BROI MGD, FERRIANI RA & NAVARRO PA. 2019. Ethiopathogenic mechanisms of endometriosis-related infertility. JBRA Assist Reprod 23: 273-280. BULUN SE, YILMAZ BD, SISON C, MIYAZAKI K, BERNARDI L, LIU S, KOHLMEIER A, YIN P, MILAD M & WEI J. 2019. Endometriosis. Endocr Rev 40: 1048-1079. CALDEIRA TB, SERRA ID, INÁCIO LC & TERRA IBN. 2017. Infertilidade na endometriose: etiologia e terapêutica. Revista HU 43: 173-178. CARDOSO JV, MACHADO DE, DA SILVA MC, BERARDO PT, FERRARI R, ABRÃO MS & PERINI JA. 2019. Matrix metalloproteinases 3 polymorphism increases the risk of developing advanced endometriosis and infertility: A case-control study. Eur J Obstet Gynecol Reprod Biol X 3: 100041. CARDOSO JV, PERINI JA, MACHADO DE, PINTO R & MEDEIROS R. 2020. Systematic review of genome-wide association studies on susceptibility to endometriosis. Eur J Obstet Gynecol Reprod Biol 255: 74-82. CARRARELLI P, ROCHA AL, BELMONTE G, ZUPI E, ABRÃO MS, ARCURI F, PIOMBONI P & PETRAGLIA F. 2014. Increased expression of antimüllerian hormone and its receptor in endometriosis. Fertil Steril 101: 1353-1358. CAVALCANTI V, PONCE TG, MAFRA FA, ANDRÉ GM, CHRISTOFOLINI DM, BARBOSA CP & BIANCO B. 2016. Evaluation of the frequency of G-765C polymorphism in the promoter region of the COX-2 gene and its correlation with the expression of this gene in the endometrium of women with endometriosis. Arch Gynecol Obstet 293: 109-115. CHANG CY, CHANG HW, CHEN CM, LIN CY, CHEN CP, LAI CH, LIN WY, LIU HP, SHEU JJ & TSAI FJ. 2011. MUC4 gene polymorphisms associate with endometriosis development and endometriosis-related infertility. BMC Med 9: 19. CHANG CY, CHEN Y, LIN WC, CHEN CM, CHEN CP, LEE SC, SHEU JJ & TSAI FJ. 2012. MUC2 polymorphisms are associated with endometriosis development and infertility: a case-control study. BMC Med Genet 13: 15. CHEN Y, QI X, BIAN C, LING C, YI T, MU X & ZHAO X. 2019. The association of FOXP3 gene polymorphisms with cancer susceptibility: a comprehensive systemic review and meta-analysis. Biosci Rep 39: BSR20181809. CHENG Z, GUO Y & MING L. 2018. Functional Foxp3 polymorphisms and the susceptibility to cancer: An update meta-analysis. Medicine (Baltimore) 97: e11927. CHRISTOFOLINI DM, CAVALHEIRO CM, TELES JS, LERNER TG, BRANDES A, BIANCO B & BARBOSA CP. 2011a. Promoter -817C>T variant of B lymphocyte stimulator gene (BLyS) and susceptibility to endometriosis-related infertility and idiopathic infertility in Brazilian population. Scand J Immunol 74: 628-631. CHRISTOFOLINI DM, MAFRA FA, CATTO MC, BIANCO B & BARBOSA CP. 2019. New candidate genes associated to endometriosis. Gynecol Endocrinol 35: 62-65. CHRISTOFOLINI DM, VILARINO FL, MAFRA FA, ANDRÉ GM, BIANCO B & BARBOSA CP. 2011b. Combination of polymorphisms in luteinizing hormone β, estrogen receptor β and progesterone receptor and susceptibility to infertility and endometriosis. Eur J Obstet Gynecol Reprod Biol 158: 260-264. CONG L, FU Q & GAO T. 2018. CYP17A1 rs743572 polymorphism might contribute to endometriosis susceptibility: evidences from a case-control study. Medicine (Baltimore) 97: e11415. CRISPIM PCA, JAMMAL MP, MURTA EFC & NOMELINI RS. 2021. Endometriosis: What is the Influence of Immune Cells? Immunol Invest 50: 372-388. DE CONTO E, MATTE Ú, BILIBIO JP, GENRO VK, SOUZA CA, LEÃO DP & CUNHA-FILHO JS. 2017. Endometriosis-associated infertility: GDF-9, AMH, and AMHR2 genes polymorphisms. J Assist Reprod Genet 34: 1667-1672. DEIANA D, GESSA S, ANARDU M, DANIILIDIS A, NAPPI L, D’ALTERIO MN, PONTIS A & ANGIONI S. 2019. Genetics of endometriosis: a comprehensive review. Gynecol Endocrinol 35: 553-558. FU W ET AL. 2017. NFKB1 -94insertion/deletion ATTG polymorphism and cancer risk: Evidence from 50 case-control studies. Oncotarget 8: 9806-9822. FUNG JN, ROGERS PA & MONTGOMERY GW. 2015. Identifying the biological basis of GWAS hits for endometriosis. Biol Reprod 92: 87. GIBSON DA, SIMITSIDELLIS I, COLLINS F & SAUNDERS PTK. 2020. Androgens, oestrogens and endometrium: a fine balance between perfection and pathology. J Endocrinol 246: R75-R93. GONÇALVES-FILHO RP, BRANDES A, CHRISTOFOLINI DM, LERNER TG, BIANCO B & BARBOSA CP. 2011. Plasminogen activator inhibitor-1 4G/5G polymorphism in infertile women with and without endometriosis. Acta Obstet Gynecol Scand 90: 473-477. HARTL DL & CLARK AG. 2010. Princípios de genética de populações. 4. ed. Porto Alegre: Editora Artmed. KHAN Z. 2020. Fertility-related considerations in endometriosis. Abdom Radiol (NY) 45: 1754-1761. KIESEL L & SOUROUNI M. 2019. Diagnosis of endometriosis in the 21st century. Climacteric 22: 296-302. KIM JH, KIM TH, KIM YS, JANG WC, RYU A, HWANG JY & LEE HH. 2020. Mucin gene polymorphisms are associated with endometriosis in Korean women. Arch Gynecol Obstet 301: 801-807. LA ROSA VL, BARRA F, CHIOFALO B, PLATANIA A, DI GUARDO F, CONWAY F, DI ANGELO ANTONIO S & LIN LT. 2020a. An overview on the relationship between endometriosis and infertility: the impact on sexuality and psychological well-being. J Psychosom Obstet Gynaecol 41: 93-97. LA ROSA VL, DE FRANCISCIS P, BARRA F, SCHIATTARELLA A, TÖRÖK P, SHAH M, KARAMAN E, MARQUES CERENTINI T, DI GUARDO F, GULLO G, PONTA M, FERRERO S. 2020b. Quality of life in women with endometriosis: a narrative overview. Minerva Med 111: 68-78. LAMP M, PETERS M, REINMAA E, HALLER-KIKKATALO K, KAART T, KADASTIK U, KARRO H, METSPALU A & SALUMETS A. 2011. Polymorphisms in ESR1, ESR2 and HSD17B1 genes are associated with fertility status in endometriosis. Gynecol Endocrinol 27: 425-433. LETE I. 2019. Endometriosis Diagnosis and treatment. Med Clin (Barc) 152(12): 508-512. LI HN, LI XR, DU YY, YANG ZF & LV ZT. 2020. The Association Between Foxp3 Polymorphisms and Risk of Graves’ Disease: A Systematic Review and Meta-Analysis of Observational Studies. Front Endocrinol (Lausanne) 11: 392. LIBERATI A, ALTMAN DG, TETZLAFF J, MULROW C, GØTZSCHE PC, IOANNIDIS JP, CLARKE M, DEVEREAUX PJ, KLEIJNEN J & MOHER D. 2009. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ 339: b2700. LIN X ET AL. 2019. Endometriosis: Diagnosis and treatment. Med Clin (Barc) 152: 508-512. LIN X, ZHANG Y & CHEN Q. 2016. FCRL3 gene polymorphisms as risk factors for rheumatoid arthritis. Hum Immunol 77: 223-229. LUO L, LI DH, LI XP, ZHANG SC, YAN CF, WU JF, QI YH & ZHAO J. 2016. Polymorphisms in the nuclear factor kappa B gene association with recurrent embryo implantation failure. Genet Mol Res 15. MAFRA F, CATTO M, BIANCO B, BARBOSA CP & CHRISTOFOLINI D. 2015. Association of WNT4 polymorphisms with endometriosis in infertile patients. J Assist Reprod Genet 32: 1359-1364. MAFRA FA, BIANCO B, CHRISTOFOLINI DM, SOUZA AM, ZULLI K & BARBOSA CP. 2010. Luteinizing hormone beta-subunit gene (LHbeta) polymorphism in infertility and endometriosis-associated infertility. Eur J Obstet Gynecol Reprod Biol 151: 66-69. MARIAN S & HERMANOWICZ-SZAMATOWICZ K. 2020. Endometriosis - a decade later - still an enigmatic disease. What is the new in the diagnosis and treatment? Gynecol Endocrinol 36: 104-108. MARIMUTHU S, RAUTH S, GANGULY K, ZHANG C, LAKSHMANAN I, BATRA SK & PONNUSAMY MP. 2021. Mucins reprogram stemness, metabolism and promote chemoresistance during cancer progression. Cancer Metastasis Rev 40: 575-588. MARQUARDT RM, KIM TH, SHIN JH & JEONG JW. 2019. Progesterone and Estrogen Signaling in the Endometrium: What Goes Wrong in Endometriosis? Int J Mol Sci 20: 3822. MÉAR L, HERR M, FAUCONNIER A, PINEAU C & VIALARD F. 2020. Polymorphisms and endometriosis: a systematic review and meta-analyses. Hum Reprod Update 26: 73-102. MOOLA S ET AL. 2020. Chapter 7: Systematic reviews of etiology and risk. In: Aromataris E & Munn Z (Editors). JBI Manual for Evidence Synthesis. JBI. MU X, DU X, YAO K, ZHAO J, BIAN C, WANG Q, MA H, YI T, WU Y & ZHAO X. 2015. Association between HSD17B1 rs605059 polymorphisms and the risk of uterine diseases: a systemic review and meta-analysis. Int J Clin Exp Pathol 8: 6012-6018. NAVARRO PA. 2019. Infertility Associated to Endometriosis: Clarifying Some Important Controversies. Rev Bras Ginecol Obstet 41: 523-524. OSIŃSKI M, MOSTOWSKA A, WIRSTLEIN P, SKRZYPCZAK J, JAGODZIŃSKI PP & SZCZEPAŃSKA M. 2017. Involvement of 17β-hydroxysteroid dehydrogenase type gene 1 937 A>G polymorphism in infertility in Polish Caucasian women with endometriosis. J Assist Reprod Genet 34: 789-794. OSIŃSKI M, MOSTOWSKA A, WIRSTLEIN P, WENDER-OŻEGOWSKA E, JAGODZIŃSKI PP & SZCZEPAŃSKA M. 2018a. The assessment of GWAS - identified polymorphisms associated with infertility risk in Polish women with endometriosis. Ginekol Pol 89: 304-310. OSIŃSKI M, WIRSTLEIN P, WENDER-OŻEGOWSKA E, MIKOŁAJCZYK M, JAGODZIŃSKI PP & SZCZEPAŃSKA M. 2018b. HSD3B2, HSD17B1, HSD17B2, ESR1, ESR2 and AR expression in infertile women with endometriosis. Ginekol Pol 89: 125-134. PELUSO C, CHRISTOFOLINI DM, GOLDMAN CS, MAFRA FA, CAVALCANTI V, BARBOSA CP & BIANCO B. 2013. TYK2 rs34536443 polymorphism is associated with a decreased susceptibility to endometriosis-related infertility. Hum Immunol 74: 93-97. PESSOA FRM, VILARINO FL, SOUZA ABM, PAIVA LS, SOUSA LVA, ZAIA V & BARBOSA CP. 2020. Clinical aspects and the quality of life among women with endometriosis and infertility: a cross-sectional study. BMC women’s health 20: 124. PITZER LM, MORONEY MR, NOKOFF NJ & SIKORA MJ. 2021. WNT4 Balances Development vs Disease in Gynecologic Tissues and Women’s Health. Endocrinology 162: bqab093. QIU Q, YU X, YAO C, HAO Y, FAN L, LI C, XU P, AN G, LI Z & HE Z. 2019. FOXP3 pathogenic variants cause male infertility through affecting the proliferation and apoptosis of human spermatogonial stem cells. Aging (Albany NY) 11: 12581-12599. RIBEIRO JÚNIOR CL, ARRUDA JT, SILVA CT & MOURA KK. 2009. Analysis of p53 codon 72 gene polymorphism in Brazilian patients with endometriosis. Genet Mol Res 8: 494-499. SAMIMI M, POURHANIFEH MH, MEHDIZADEHKASHI A, EFTEKHAR T & ASEMI Z. 2019. The role of inflammation, oxidative stress, angiogenesis, and apoptosis in the pathophysiology of endometriosis: Basic science and new insights based on gene expression. J Cell Physiol 234: 19384-19392. SANTOS TR, SILVA KSF, SILVA RCPC, MOURA KKVO, GUILLO LA, JÚNIOR CL & COSTA LR. 2018. Infertility caused by an association between Arg72Pro polymorphism of the p53 gene and Glu298Asp of the eNOS gene in patients with endometriosis. Genet Mol Res 17: GMR1804. SAPKOTA Y ET AL. 2017. Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism. Nat Commun 8: 15539. SAPKOTA Y, FASSBENDER A, BOWDLER L, FUNG JN, PETERSE D, DORIEN O, MONTGOMERY GW, NYHOLT DR & D’HOOGHE TM. 2015. Independent Replication and Meta-Analysis for Endometriosis Risk Loci. Twin Res Hum Genet 18: 518-525. SCHMITZ CR, SOUZA CA, GENRO VK, MATTE U, CONTO ED & CUNHA-FILHO JS. 2015. LH (Trp8Arg/Ile15Thr), LHR (insLQ) and FSHR (Asn680Ser) polymorphisms genotypic prevalence in women with endometriosis and infertility. J Assist Reprod Gene 32: 991-997. SHIGESI N, KVASKOFF M, KIRTLEY S, FENG Q, FANG H, KNIGHT JC, MISSMER SA, RAHMIOGLU N, ZONDERVAN KT & BECKER CM. 2019. The association between endometriosis and autoimmune diseases: a systematic review and meta-analysis. Hum Reprod Update 25: 486-503. SIMITSIDELLIS I, SAUNDERS PTK & GIBSON DA. 2018. Androgens and endometrium: New insights and new targets. Mol Cell Endocrinol 465: 48-60. SMOLARZ B, SZYŁŁO K & ROMANOWICZ H. 2020. The Genetic Background of Endometriosis: Can ESR2 and CYP19A1 Genes Be a Potential Risk Factor for Its Development? Int J Mol Sci 21: 8235. SONG GG, KIM JH, CHOI SJ, JI JD & LEE YH. 2013. Fc receptor-like 3 (FCRL3) -169 C/T polymorphism and systemic lupus erythematosus: a meta-analysis. Rheumatol Int 33: 2323-2329. SOUSA TR, QUEIROZ AP, BARON RA & SPERANDIO FF. 2015. Prevalência dos sintomas da endometriose: Revisão Sistemática. Revista CES Medicina 29: 211-226. SZCZEPAŃSKA M, MOSTOWSKA A, WIRSTLEIN P, LIANERI M, MARIANOWSKI P, SKRZYPCZAK J & JAGODZIŃSKI PP. 2011. Polymorphic variants of folate and choline metabolism genes and the risk of endometriosis-associated infertility. Eur J Obstet Gynecol Reprod Biol 157: 67-72. SZCZEPAŃSKA M, MOSTOWSKA A, WIRSTLEIN P, SKRZYPCZAK J, MISZTAL M & JAGODZIŃSKI PP. 2015. Polymorphic variants in vitamin D signaling pathway genes and the risk of endometriosis-associated infertility. Mol Med Rep 12: 7109-7115. SZCZEPAŃSKA M, WIRSTLEIN P, HOŁYSZ H, SKRZYPCZAK J & JAGODZIŃSKI PP. 2013a. The FCRL3 -169T>C polymorphism and the risk of endometriosis-related infertility in a Polish population. Arch Gynecol Obstet 288: 799-804. SZCZEPAŃSKA M, WIRSTLEIN P, SKRZYPCZAK J & JAGODZIŃSKI PP. 2013b. Polymorphic variants of CYP17 and CYP19A and risk of infertility in endometriosis. Acta Obstet Gynecol Scand 92: 1188-1193. TAN G, WANG X, ZHENG G, DU J, ZHOU F, LIANG Z, WEI W & YU H. 2021. Meta-analysis reveals significant association between FOXP3 polymorphisms and susceptibility to Graves’ disease. J Int Med Res 49: 3000605211004199. TANASE A, NEMESCU D, POPESCU R, TOMA BF, MATASARIU RD & ONOFRIESCU M. 2020. FSH receptor and FSH beta chain polymorphism involvement in infertility and endometriosis disease. Acta Endocrinol (Buchar) 16: 142-147. TELES JS, BIANCO B, VILARINO FL, ANDRÉ GM, CHRISTOFOLINI DM & BARBOSA CP. 2011. Association of FCRL3 C-169T promoter single-nucleotide polymorphism with idiopathic infertility and infertility-related endometriosis. J Reprod Immunol 89: 212-215. TIAN Z, ZHANG Y, ZHANG C, WANG Y & ZHU HL. 2021. Antral follicle count is reduced in the presence of endometriosis: a systematic review and meta-analysis. Reprod Biomed Online 42: 237-247. VASSILOPOULOU L, MATALLIOTAKIS M, ZERVOU MI, MATALLIOTAKI C, KRITHINAKIS K, MATALLIOTAKIS I, SPANDIDOS DA & GOULIELMOS GN. 2019. Defining the genetic profile of endometriosis. Exp Ther Med 17: 3267-3281. WANG L, LU X, WANG D, QU W, LI W, XU X, HUANG Q, HAN X & LV J. 2014. CYP19 gene variant confers susceptibility to endometriosis-associated infertility in Chinese women. Exp Mol Med 46: e103. YANG CW ET AL. 2015. Genetic variations of MUC17 are associated with endometriosis development and related infertility. BMC Med Genet 16: 60. YATSENKO SA & RAJKOVIC A. 2019. Genetics of human female infertility. Biol Reprod 101: 549-566. YE Y, VATTAI A, ZHANG X, ZHU J, THALER CJ, MAHNER S, JESCHKE U & VON SCHÖNFELDT V. 2017. Role of Plasminogen Activator Inhibitor Type 1 in Pathologies of Female Reproductive Diseases. Int J Mol Sci 18: 1651. YUAN M, WEI L, ZHOU R, BAI Q, WEI Y, ZHANG W & HUANG Y. 2016. Four FCRL3 Gene Polymorphisms (FCRL3_3, _5, _6, _8) Confer Susceptibility to Multiple Sclerosis: Results from a Case-Control Study. Mol Neurobiol 53: 2029-2035. ZAHA A, FERREIRA HB & PASSAGLIA LMP. 2014. Biologia Molecular Básica. 5. ed. Porto Alegre: Editora ArtMed. ZHANG H, ZHANG Z, LI G, WANG S, ZHANG S & XIE B. 2015. Association of FCRL3 Genetic Polymorphisms With Endometriosis-Related Infertility Risk: An Independent Study in Han Chinese. Medicine (Baltimore) 94: e1168. ZHANG QY, GUAN Q, WANG Y, FENG X, SUN W, KONG FY, WEN J, CUI W, YU Y & CHEN ZY. 2012. BDNF Val66Met polymorphism is associated with Stage III-IV endometriosis and poor in vitro fertilization outcome. Hum Reprod 27: 1668-1675. ZHAO L, GU C, HUANG K, FAN W, LI L, YE M, HAN W & MENG Y. 2016. Association between oestrogen receptor alpha (ESR1) gene polymorphisms and endometriosis: a meta-analysis of 24 case-control studies. Reprod Biomed Online 33: 335-349. ZONDERVAN KT, BECKER CM, KOGA K, MISSMER SA, TAYLOR RN & VIGANÒ P. 2018. Endometriosis. Nat Rev Dis Primers 4: 9. ZULLI K, BIANCO B, MAFRA FA, TELES JS, CHRISTOFOLINI DM & BARBOSA CP. 2010. Polymorphism of the estrogen receptor β gene is related to infertility and infertility-associated endometriosis. Arq Bras Endocrinol Metabol 54: 567-571. Publication Dates Publication in this collection 05 Dec 2022 Date of issue 2022 History Received 16 Dec 2021 Accepted 1 Jan 2022 This is an open-access article distributed under the terms of the Creative Commons Attribution License Authorship .author-card { border-bottom: 1px solid #ccc; padding: 1rem 0; } .author-card:last-child { border-bottom: 0px; } .author-name { font-weight: 600; } .orcid-button { padding-left: 2.5rem; } .modal-body { padding-bottom: 3rem; } .orcid-button::before { content: ""; position: absolute; background-image: url(https://ds.scielo.org/img/logo-orcid.svg); background-repeat: no-repeat; background-size: 1.5em auto; background-position: .5em center; display: block; width: 60px; height: 60px; top: -10px; left: 0; } person ERIKA M. EGASHIRA contributed with data acquisition, interpretation and wrote the manuscript school Programa de Pós-Graduação em Ciência e Tecnologia de Materiais, Universidade Federal do Triângulo Mineiro/UFTM, Rua Vigário Carlos, 100, Nossa Senhora da Abadia, 38025-350 Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM Brazil Uberaba, MG, Brazil Programa de Pós-Graduação em Ciência e Tecnologia de Materiais, Universidade Federal do Triângulo Mineiro/UFTM, Rua Vigário Carlos, 100, Nossa Senhora da Abadia, 38025-350 Uberaba, MG, Brazil 0000-0002-3490-1945 person ALESSANDRA B. TROVÓ-MARQUI contributed with conception, data acquisition, interpretation and wrote the manuscript school Universidade Federal do Triângulo Mineiro/UFTM, Departamento de Patologia, Genética e Evolução, Campus I, Praça Manoel Terra, 330, Nossa Senhora da Abadia, 38025-015 Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM Brazil Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM, Departamento de Patologia, Genética e Evolução, Campus I, Praça Manoel Terra, 330, Nossa Senhora da Abadia, 38025-015 Uberaba, MG, Brazil 0000-0003-2361-5174 person SARAH C.S.V. TANAKA contributed with data acquisition, interpretation and wrote the manuscript school Programa de Pós-Graduação em Medicina Tropical e Infectologia, Universidade Federal do Triângulo Mineiro, Av. Getúlio Guaritá, s/n, Abadia, 38025-180 Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro Brazil Uberaba, MG, Brazil Programa de Pós-Graduação em Medicina Tropical e Infectologia, Universidade Federal do Triângulo Mineiro, Av. Getúlio Guaritá, s/n, Abadia, 38025-180 Uberaba, MG, Brazil 0000-0003-4466-6093 person MARIANGELA T.R. CINTRA contributed with conception, data acquisition, interpretation and wrote the manuscript school Universidade Federal do Triângulo Mineiro/UFTM, Departamento de Ciências Biológicas, Av. Randolfo Borges Júnior, 1400, Univerdecidade, 38064-200 Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM Brazil Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM, Departamento de Ciências Biológicas, Av. Randolfo Borges Júnior, 1400, Univerdecidade, 38064-200 Uberaba, MG, Brazil 0000-0002-8223-805X Correspondence to: Mariangela Torreglosa Ruiz Cintra E-mail: [email protected] AUTHOR CONTRIBUTIONS EME: contributed with data acquisition, interpretation and wrote the manuscript; ABTM: contributed with conception, data acquisition, interpretation and wrote the manuscript; SCSVT: contributed with data acquisition, interpretation and wrote the manuscript; MTRC: contributed with conception, data acquisition, interpretation and wrote the manuscript. All authors read and approved the final version of the manuscript. SCIMAGO INSTITUTIONS RANKINGS Programa de Pós-Graduação em Ciência e Tecnologia de Materiais, Universidade Federal do Triângulo Mineiro/UFTM, Rua Vigário Carlos, 100, Nossa Senhora da Abadia, 38025-350 Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM Brazil Uberaba, MG, Brazil Programa de Pós-Graduação em Ciência e Tecnologia de Materiais, Universidade Federal do Triângulo Mineiro/UFTM, Rua Vigário Carlos, 100, Nossa Senhora da Abadia, 38025-350 Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM, Departamento de Patologia, Genética e Evolução, Campus I, Praça Manoel Terra, 330, Nossa Senhora da Abadia, 38025-015 Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM Brazil Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM, Departamento de Patologia, Genética e Evolução, Campus I, Praça Manoel Terra, 330, Nossa Senhora da Abadia, 38025-015 Uberaba, MG, Brazil Programa de Pós-Graduação em Medicina Tropical e Infectologia, Universidade Federal do Triângulo Mineiro, Av. Getúlio Guaritá, s/n, Abadia, 38025-180 Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro Brazil Uberaba, MG, Brazil Programa de Pós-Graduação em Medicina Tropical e Infectologia, Universidade Federal do Triângulo Mineiro, Av. Getúlio Guaritá, s/n, Abadia, 38025-180 Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM, Departamento de Ciências Biológicas, Av. Randolfo Borges Júnior, 1400, Univerdecidade, 38064-200 Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM Brazil Uberaba, MG, Brazil Universidade Federal do Triângulo Mineiro/UFTM, Departamento de Ciências Biológicas, Av. Randolfo Borges Júnior, 1400, Univerdecidade, 38064-200 Uberaba, MG, Brazil Figures | Tables Figures (3) Tables (2) Thumbnail Figure 1 Flowchart of the search and selection of studies for systematic review. Thumbnail Figure 2 Genes and their respective polymorphisms that exhibited statistically significant values with endometriosis-related infertility (C: control; ED: endometriosis and II: idiopathic infertility). Thumbnail Figure 3 Classification of gene functions with statistically significant polymorphisms. Thumbnail Table I Characteristics of studies that analyzed patients with endometriosis (ED) and controls (C). Thumbnail Table II Characteristics of studies that analyzed patients with endometriosis (ED), patients with idiopathic infertility (II) and controls (C). image Figure 1 Flowchart of the search and selection of studies for systematic review. open_in_new image Figure 2 Genes and their respective polymorphisms that exhibited statistically significant values with endometriosis-related infertility (C: control; ED: endometriosis and II: idiopathic infertility). open_in_new image Figure 3 Classification of gene functions with statistically significant polymorphisms. open_in_new table_chart Table I Characteristics of studies that analyzed patients with endometriosis (ED) and controls (C). Reference Country Sample size C/ED Genotyping method Gene Polymorphism (s) Polymorphic allele frequency C/ED HWE C/ED p value (genotypic frequency) Quality Ribeiro Júnior et al. 2009 Brazil 19/19 PCR TP53 rs1042522 Pro 0.42/0.23 Unrealized p= 1.0 05 Chang et al. 2011 Taiwan 150/140 Allelic discrimination MUC4 rs882605 T 0.22/0.28 0.07/0.62 p= 0.04 06 rs1104760 T 0.80/0.76 0.09/0.94 p= 0.30 s2246901 T 0.78/0.75 0.15/0.96 p= 0.56 rs2258447 G 0.79/0.77 0.07/0.37 p= 0.70 rs2291652 C 0.26/0.30 0.26/0.92 p= 0.52 rs2688513 T 0.78/0.77 0.09/0.62 p= 0.66 Lamp et al. 2011 Estonia 199/150 PCR PCR–RFLP ESR1 rs2234693 C 0.45/0.51 >0.05/>0.05 p= 0.21 08 (TA)n L 0.39/0.48 >0.05/>0.05 p0.05/>0.05 p0.05/>0.05 p0.05/>0.05 p= 0.35 Ins/Del Alu Del 0.87/0.84 >0.05/>0.05 p= 0.10 CYP19A1 rs10046 T 0.60/0.55 >0.05/>0.05 p= 0.1 (TTTA)n L 0.41/0.40 >0.05/>0.05 p= 0.75 Ins/Del Del 0.41/0.26 >0.05/>0.05 p= 0.34 Szczepańska et al. 2011 Poland 150/163 PCR–RFLP CBS 844ins68 ins 0.10/0.06 >0.05/>0.05 p= 0.05 09 MTHFD1 rs2236225 T 0.42/0.40 >0.05/>0.05 p= 0.67 MTHFR rs1801133 T 0.27/0.32 >0.05/>0.05 p= 0.11 MTR rs1805087 G 0.17/0.23 >0.05/>0.05 p= 0.07 MTRR rs1801394 G 0.38/0.42 >0.05/>0.05 p= 0.20 TCN2 rs1801198 C 0.45/0.46 >0.05/>0.05 p= 0.72 BHMT rs7356530 A 0.41/0.40 >0.05/>0.05 p= 0.63 rs3733890 A 0.31/0.30 >0.05/>0.05 p= 0.65 CYP19A1 rs10046 T 0.60/0.55 >0.05/>0.05 p= 0.1 (TTTA)n L 0.41/0.40 >0.05/>0.05 p= 0.75 Ins/Del Del 0.41/0.26 >0.05/>0.05 p= 0.34 Szczepańska et al. 2011 Poland 150/163 PCR–RFLP CBS 844ins68 ins 0.10/0.06 >0.05/>0.05 p= 0.05 09 MTHFD1 rs2236225 T 0.42/0.40 >0.05/>0.05 p= 0.67 MTHFR rs1801133 T 0.27/0.32 >0.05/>0.05 p= 0.11 MTR rs1805087 G 0.17/0.23 >0.05/>0.05 p= 0.07 MTRR rs1801394 G 0.38/0.42 >0.05/>0.05 p= 0.20 TCN2 rs1801198 C 0.45/0.46 >0.05/>0.05 p= 0.72 BHMT rs7356530 A 0.41/0.40 >0.05/>0.05 p= 0.63 rs3733890 A 0.31/0.30 >0.05/>0.05 p= 0.65 CYP19A1 rs10046 T 0.60/0.55 >0.05/>0.05 p= 0.1 BHMT2 rs625879 T 0,41/0,38 >0,05/>0,05 p= 0,54 CHDH rs893363 C 0,35/0,36 >0,05/>0,05 p= 0,95 rs2289205 A 0,24/0,30 >0,05/>0,05 p= 0,26 CHKA rs7928739 A 0,58/0,58 >0,05/>0,05 p= 0,77 PCYT1A rs712012 T 0.36/0.38 >0.05/>0.05 p= 0.62 rs7639752 A 0.49/0.46 >0.05/>0.05 p= 0.47 PEMT rs4244593 A 0.43/0.46 >0.05/>0.05 p= 0.46 rs4646406 A 0.43/0.46 >0.05/>0.05 p= 0.47 Chang et al. 2012 Taiwan 196/195 Allelic discrimination MUC2 rs2856111 T 0.53/0.56 Unrealized p= 0.29 05 rs11245936 A 0.09/0.06 Unrealized p= 0.34 rs10794288 T 0.52/0.60 Unrealized p= 0.09 rs10902088 C 0.53/0.62 Unrealized p= 0.05 rs7103978 G 0.10/0.06 Unrealized p= 0.05 Unrealized BHMT2 rs625879 T 0,41/0,38 >0,05/>0,05 p= 0,54 CHDH rs893363 C 0,35/0,36 >0,05/>0,05 p= 0,95 rs2289205 A 0,24/0,30 >0,05/>0,05 p= 0,26 CHKA rs7928739 A 0,58/0,58 >0,05/>0,05 p= 0,77 PCYT1A rs712012 T 0.36/0.38 >0.05/>0.05 p= 0.62 rs7639752 A 0.49/0.46 >0.05/>0.05 p= 0.47 PEMT rs4244593 A 0.43/0.46 >0.05/>0.05 p= 0.46 rs4646406 A 0.43/0.46 >0.05/>0.05 p= 0.47 Chang et al. 2012 Taiwan 196/195 Allelic discrimination MUC2 rs2856111 T 0.53/0.56 Unrealized p= 0.29 05 rs11245936 A 0.09/0.06 Unrealized p= 0.34 rs11245954 G 0.07/0.05 Unrealized Not included Zhang et al. 2012 China 244/425 Fluorescence Resonance Energy Transfer BDNF Val66Met Met 0.46/0.51 >0.05/>0.05 p= 0.17 09 Szczepańska et al. 2013a Poland 519/141 PCR–RFLP FCRL3 rs7528684 C 0.48/0.59 >0.05/>0.05 p<0.05 09 Szczepańska et al. 2013b Poland 197/115 High-Resolution Melting CYP17A1 rs743572 A 0.41/ Not included Unrealized p<0.05 08 CYP19A1 rs10046 T 0.39/ Not included Unrealized p= 0.79 Mafra et al. 2015 Brazil 400/400 Allelic discrimination WNT4 rs2235529 A 0.12/0.15 0.65/0.18 p= 0.09 09 rs3820282 A 0.12/0.15 0.48/0.12 p= 0.05 rs16826658 G 0.35/0.35 0.70/0.74 p0.05/>0.05 p= 0.51 07 Ile15Thr 0.12/0.16 >0.05/>0.05 p= 0.51 LHR insLQ 0.10/0.25 >0.05/>0.05 p= 0.01 rs11245954 G 0.07/0.05 Unrealized Not included Zhang et al. 2012 China 244/425 Fluorescence Resonance Energy Transfer BDNF Val66Met Met 0.46/0.51 >0.05/>0.05 p= 0.17 09 Szczepańska et al. 2013a Poland 519/141 PCR–RFLP FCRL3 rs7528684 C 0.48/0.59 >0.05/>0.05 p<0.05 09 Szczepańska et al. 2013b Poland 197/115 High-Resolution Melting CYP17A1 rs743572 A 0.41/ Not included Unrealized p<0.05 08 CYP19A1 rs10046 T 0.39/ Not included Unrealized p= 0.79 Mafra et al. 2015 Brazil 400/400 Allelic discrimination WNT4 rs2235529 A 0.12/0.15 0.65/0.18 p= 0.09 09 rs3820282 A 0.12/0.15 0.48/0.12 p= 0.05 rs16826658 G 0.35/0.35 0.70/0.74 p0.05/>0.05 p= 0.78 Szczepańska et al. 2015 Poland 347/154 High Resolution Melting PCR–RFLP GC rs7041 T 0.40/0.44 >0.05/>0.05 p= 0.16 09 rs1155563 C 0.28/0.32 >0.05/>0.05 p= 0.31 rs2298849 C 0.20/0.21 >0.05/>0.05 p= 0.48 RXRA rs10881578 G 0.30/0.28 >0.05/>0.05 p= 0.52 rs10776909 C 0.20/0.18 >0.05/>0.05 p= 0.27 rs749759 G 0.25/0.20 >0.05/>0.05 p= 0.13 VDR rs1544410 A 0.35/0.39 >0.05/>0.05 p= 0.44 rs2228570 Não consta >0.05/>0.05 p= 0.12 Yang et al. 2015 Taiwan 191/189 Allelic discrimination MUC17 rs4729645 T 0.21/0.17 Unrealized p= 0.12 06 rs10953316 G 0.80/0.88 Unrealized p0.05/>0.05 p= 0.78 Szczepańska et al. 2015 Poland 347/154 High Resolution Melting PCR–RFLP GC rs7041 T 0.40/0.44 >0.05/>0.05 p= 0.16 09 rs1155563 C 0.28/0.32 >0.05/>0.05 p= 0.31 rs2298849 C 0.20/0.21 >0.05/>0.05 p= 0.48 RXRA rs10881578 G 0.30/0.28 >0.05/>0.05 p= 0.52 rs10776909 C 0.20/0.18 >0.05/>0.05 p= 0.27 rs749759 G 0.25/0.20 >0.05/>0.05 p= 0.13 VDR rs1544410 A 0.35/0.39 >0.05/>0.05 p= 0.44 rs2228570 Não consta >0.05/>0.05 p= 0.12 Yang et al. 2015 Taiwan 191/189 Allelic discrimination MUC17 rs4729645 T 0.21/0.17 Unrealized p= 0.12 06 rs10953316 G 0.80/0.88 Unrealized p0.05/>0.05 p= 0.78 Szczepańska et al. 2015 Poland 347/154 High Resolution Melting PCR–RFLP GC rs7041 T 0.40/0.44 >0.05/>0.05 p= 0.16 09 rs1155563 C 0.28/0.32 >0.05/>0.05 p= 0.31 rs2298849 C 0.20/0.21 >0.05/>0.05 p= 0.48 RXRA rs10881578 G 0.30/0.28 >0.05/>0.05 p= 0.52 rs4729655 C 0.61/0.59 Unrealized p= 0.55 rs4729656 A 0.68/0.66 Unrealized p= 0.66 Zhang et al. 2015 China 220/217 PCR–RFLP FCRL3 rs7528684 C 0.41/0.50 0.35/0.83 p= 0.01 09 rs11264799 A 0.28/0.30 0.37/0.48 p= 0.57 rs945635 G 0.42/0.45 0.64/0.73 p= 0.30 rs3761959 A 0.47/0.49 0.74/0.83 p= 0.65 Barbosa et al.2016 Brazil 42/52 PCR–RFLP CYP1A1 CYP1A1m1 m1 0.14/0.32 Unrealized p= 0.08 04 De Conto et al. 2017 Brazil 70/74 Allelic discrimination GDF-9 c.398-39C > G G 0.15/0.11 >0.05/>0.05 p= 0.51 09 c.447C > T T 0.49/0.53 >0.05/>0.05 p= 0.19 c.546G > A A 0.13/0.18 >0.05/>0.05 p= 0.44 AMH p.Ile49Ser Ser 0.28/0.16 >0.05/>0.05 p= 0.03 AMHR2 -482A > G G 0.20/0.16 >0.05/>0.05 p= 0.68 rs4729655 C 0.61/0.59 Unrealized p= 0.55 rs4729656 A 0.68/0.66 Unrealized p= 0.66 Zhang et al. 2015 China 220/217 PCR–RFLP FCRL3 rs7528684 C 0.41/0.50 0.35/0.83 p= 0.01 09 rs11264799 A 0.28/0.30 0.37/0.48 p= 0.57 rs945635 G 0.42/0.45 0.64/0.73 p= 0.30 rs3761959 A 0.47/0.49 0.74/0.83 p= 0.65 Barbosa et al. 2016 Brazil 42/52 PCR–RFLP CYP1A1 CYP1A1m1 m1 0.14/0.32 Unrealized p= 0.08 04 De Conto et al. 2017 Brazil 70/74 Allelic discrimination GDF-9 c.398-39C > G G 0.15/0.11 >0.05/>0.05 p= 0.51 09 c.447C > T T 0.49/0.53 >0.05/>0.05 p= 0.19 Osiński et al. 2017 Poland 410/290 High Resolution MeltingPCR HSD17B1 rs605059 A 0.48/0.52 >0.05/>0.05 p= 0.19 06 Osiński et al. 2018a Poland 406/315 High Resolution Melting NPVF/NFE2L3 rs12700667 A 0.76/0.81 0.56/0.82 p= 0.04 09 WNT4 rs12037376 A 0.16/0.18 0.73/0.91 p= 0.30 WNT4/ZBTB40 rs7521902 A 0.26/0.27 0.87/0.35 p= 0.46 GREB1 rs13394619 A 0.45/0.44 0.37/0.98 p= 0.62 VEZT/METAP2 rs10859871 C 0.31/0.31 0.72/0.11 p= 0.83 CDKN2B/ DMRTA1 rs1537377 C 0.39/0.41 0.74/0.23 p= 0.49 ETAA1/C1D rs4141819 C 0.31/0.35 0.99/0.31 p= 0.08 RNF144B/ID4 rs7739264 C 0.46/0.46 0.63/0.80 p= 0.77 RND3/RBM43 rs1519761 G 0.42/0.40 0.35/0.31 p= 0.39 CKAP2L/IL1A rs6542095 C 0.28/0.27 0.21/0.92 p= 0.50 Osiński et al. 2017 Poland 410/290 High Resolution MeltingPCR HSD17B1 rs605059 A 0.48/0.52 >0.05/>0.05 p= 0.19 06 Osiński et al. 2018a Poland 406/315 High Resolution Melting NPVF/NFE2L3 rs12700667 A 0.76/0.81 0.56/0.82 p= 0.04 09 WNT4 rs12037376 A 0.16/0.18 0.73/0.91 p= 0.30 WNT4/ZBTB40 rs7521902 A 0.26/0.27 0.87/0.35 p= 0.46 GREB1 rs13394619 A 0.45/0.44 0.37/0.98 p= 0.62 VEZT/METAP2 rs10859871 C 0.31/0.31 0.72/0.11 p= 0.83 CDKN2B/ DMRTA1 rs1537377 C 0.39/0.41 0.74/0.23 p= 0.49 ETAA1/C1D rs4141819 C 0.31/0.35 0.99/0.31 p= 0.08 RNF144B/ID4 rs7739264 C 0.46/0.46 0.63/0.80 p= 0.77 RND3/RBM43 rs1519761 G 0.42/0.40 0.35/0.31 p= 0.39 CKAP2L/IL1A rs6542095 C 0.28/0.27 0.21/0.92 p= 0.50 Osiński et al. 2017 Poland 410/290 High Resolution MeltingPCR HSD17B1 rs605059 A 0.48/0.52 >0.05/>0.05 p= 0.19 06 Osiński et al. 2018a Poland 406/315 High Resolution Melting NPVF/NFE2L3 rs12700667 A 0.76/0.81 0.56/0.82 p= 0.04 09 WNT4 rs12037376 A 0.16/0.18 0.73/0.91 p= 0.30 WNT4/ZBTB40 rs7521902 A 0.26/0.27 0.87/0.35 p= 0.46 GREB1 rs13394619 A 0.45/0.44 0.37/0.98 p= 0.62 VEZT/METAP2 rs10859871 C 0.31/0.31 0.72/0.11 p= 0.83 CDKN2B/ DMRTA1 rs1537377 C 0.39/0.41 0.74/0.23 p= 0.49 ETAA1/C1D rs4141819 C 0.31/0.35 0.99/0.31 p= 0.08 RNF144B/ID4 rs7739264 C 0.46/0.46 0.63/0.80 p= 0.77 Santos et al. 2018 Brazil 18/17 Amplification Refractory Mutation System- Polymerase Chain ReactionPCR TP53 rs1042522 Pro Not included Unrealized Not included 06 eNOS rs1799983 Asp Not included Unrealized Not included Cardoso et al. 2019 Brazil 217/283 MMP3 rs679620 A 0.34/0.40 >0.05/>0.05 p= 0.09 09 Christofolini et al. 2019 Brazil 650/394 Allelic discrimination TAC3 rs733629 C 0.09/0.08 0.73/1 p= 0.57 09 KAZN rs10928050 G 0.16/0.20 0.14/1 p<0.05 Allelic discrimination LAMA5 rs2427284 A 0.07/0.05 <0.05/<0.05 p= 0.1 Tanase et al. 2020 Romania 34/44 FSHR rs1394205 A 0.23/0.22 Unrealized p= 0.87 05 FSH β rs10835638 T 0.09/0.07 Unrealized p= 0.63 Santos et al. 2018 Brazil 18/17 Amplification Refractory Mutation System- Polymerase Chain ReactionPCR TP53 rs1042522 Pro Not included Unrealized Not included 06 eNOS rs1799983 Asp Not included Unrealized Not included Cardoso et al. 2019 Brazil 217/283 MMP3 rs679620 A 0.34/0.40 >0.05/>0.05 p= 0.09 09 Christofolini et al. 2019 Brazil 650/394 Allelic discrimination TAC3 rs733629 C 0.09/0.08 0.73/1 p= 0.57 09 KAZN rs10928050 G 0.16/0.20 0.14/1 p<0.05 Allelic discrimination LAMA5 rs2427284 A 0.07/0.05 <0.05/<0.05 p= 0.1 Tanase et al. 2020 Romania 34/44 FSHR rs1394205 A 0.23/0.22 Unrealized p= 0.87 05 FSH β rs10835638 T 0.09/0.07 Unrealized p= 0.63 Santos et al. 2018 Brazil 18/17 Amplification Refractory Mutation System- Polymerase Chain ReactionPCR TP53 rs1042522 Pro Not included Unrealized Not included 06 eNOS rs1799983 Asp Not included Unrealized Not included Cardoso et al. 2019 Brazil 217/283 MMP3 rs679620 A 0.34/0.40 >0.05/>0.05 p= 0.09 09 Christofolini et al. 2019 Brazil 650/394 Allelic discrimination TAC3 rs733629 C 0.09/0.08 0.73/1 p= 0.57 09 KAZN rs10928050 G 0.16/0.20 0.14/1 p<0.05 Allelic discrimination LAMA5 rs2427284 A 0.07/0.05 <0.05/<0.05 p= 0.1 Tanase et al. 2020 Romania 34/44 FSHR rs1394205 A 0.23/0.22 Unrealized p= 0.87 05 FSH β rs10835638 T 0.09/0.07 Unrealized p= 0.63 Santos et al. 2018 Brazil 18/17 Amplification Refractory Mutation System- Polymerase Chain ReactionPCR TP53 rs1042522 Pro Not included Unrealized Not included 06 eNOS rs1799983 Asp Not included Unrealized Not included Cardoso et al. 2019 Brazil 217/283 MMP3 rs679620 A 0.34/0.40 >0.05/>0.05 p= 0.09 09 Christofolini et al. 2019 Brazil 650/394 Allelic discrimination TAC3 rs733629 C 0.09/0.08 0.73/1 p= 0.57 09 KAZN rs10928050 G 0.16/0.20 0.14/1 p<0.05 Notes: TP53: Tumor Protein p53. MUC4: Mucin-4. ESR1: Estrogen Receptor 1. ESR2: Estrogen Receptor 2. HSD17B1: Hydroxysteroid 17 – Beta Dehydrogenase Type 1. PGR:Progesterone Receptor. CYP19A1: Cytochrome P450 Family 19 Subfamily A Member 1. CBS: Cystathionine Beta-Synthase. MTHFD1: Methylenetetrahydrofolate Dehydrogenase.Cyclohydrolase And Formyltetrahydrofolate Synthetase 1. MTHFR: Methylenetetrahydrofolate Reductase. MTR: Methionine Synthase. MTRR: Methionine Synthase Reductase. TCN2: Transcobalamin 2. BHMT: Betaine-Homocysteine Methyltransferase. BHMT2: Betaine-Homocysteine S-Methyltransferase 2. CHDH: Choline Dehydrogenase. CHKA: Choline Kinase Alpha. PCYT1A: Phosphate Cytidylyltransferase 1. Choline. Alpha. PEMT: Phosphatidylethanolamine N-Methyltransferase. MUC2: Mucin-2. BDNF: Brain-Derived Neurotrophic Factor. FCRL3: Fc Receptor–Like 3. CYP17A1: Cytochrome P450 Family 17 Subfamily A Member 1. WNT4: Wnt Family Member 4. LH: Luteinizing Hormone. LHR: Luteinizing Hormone Receptor. FSHR: Follicle Stimulating Hormone Receptor. GC: Vitamin D Binding Protein. RXRA: Retinoid X Receptor Alpha. VDR: Vitamin D Receptor. MUC17: Mucin-17. CYP1A1: Cytochrome P450 1A1. GDF-9: Growth Differentiation Factor 9. AMH: Anti-Mullerian Hormone. AMHR2: Anti-Mullerian Hormone Receptor Type 2. NPVF/NFE2L3 : Neuropeptide VF Precursor/ Nuclear Factor. Erythroid 2 Like 3. WNT4/ZBTB40: Wnt Family Member 4/ Zinc Finger And BTB Domain Containing 40. GREB1: Growth Regulating Estrogen Receptor Binding 1. VEZT/METAP2: Vezatin. Adherens Junctions Transmembrane Protein/ Methionyl Aminopeptidase 2. CDKN2B/DMRTA1: Cyclin Dependent Kinase Inhibitor 2B/ DMRT Like Family A1. ETAA1/C1D: Ewing’S Tumor-Associated Antigen 1/ Nuclear Receptor Corepressor. RNF144B/ID4: Ring Finger Protein 144B/ Inhibitor Of Differentiation 4. RND3/RBM43: Rho Family GTPase 3/ RNA Binding Motif Protein 43. CKAP2L/IL1A: Cytoskeleton Associated Protein 2 Like/ Interleukin 1 Alpha. eNOS: Endothelial Nitric Oxide Synthase. MMP3: Matrix Metallopeptidase 3. TAC3: Tachykinin Precursor 3. KAZN: Kazrin. Periplakin Interacting Protein. LAMA5: Laminin Subunit Alpha 5. FSH β : Follicle Stimulating Hormone Beta. table_chart Table II Characteristics of studies that analyzed patients with endometriosis (ED), patients with idiopathic infertility (II) and controls (C). Reference Country Sample size C/ED/II Genotyping method Gene Polymorphism (s) Polymorphic allele frequency C/ED/II HWE C/ED/II p value (genotypic frequency) (CxED/ EDxII) Quality Mafra et al. 2010 Brazil 209/110/84 PCR–RFLP LHβ G1502A A 0.20/0.30/0.29 Unrealized 0.05/0.0 5 <0.05/0.15 08 André et al. 2011 Brazil 171/177/71 Allelic discrimination FOXP3 rs3761548 C 0.70/0.66/0.62 -/0.97/<0.05 0.28/0.42 09 rs3761549 T 0.07/0.14/0.03 -/0.52/0.87 <0.05/<0.05 rs2232366 T 0.97/0.97/0.99 -/1.0/1.0 0.86/0.37 rs2232368 A 0.28/0.31/0.38 -/0.53/<0.05 0.38/0.17 rs2280883 G 0.27/0.31/0.38 -/0.60/0.05/>0.05/>0.05 0.05/>0.05/>0.05 0.63/Not included rs945635 G 0.60/0.54/0.54 >0.05/>0.05/>0.05 0.24/Not included rs3761959 G 0.52/0.49/0.50 >0.05/>0.05/>0.05 0.80/Not included Christofolini et al. 2011a Brazil 145/165/83 Allelic discrimination BLyS rs9514828 T 0.30/0.34/0.39 0.99/0.66/0.99 0.33/Not included 09 Christofolini et al. 2011b Brazil 206/201/80 PCR-RFLP PROGINS PR C 0.07/0.05/0.08 Unrealized 0.56/Not included 08 ER β G + 1730A A 0.15/0.20/0.22 Unrealized <0.05/0.85 LH β G1502A A 0.20/0.35/0.16 Unrealized <0.05/<0.05 Gonçalves- Filho et al. 2011 Brazil 148/140/64 PCR–RFLP PAI-1 rs1799889 5G0.58/0.48/0.53 Unrealized 0.05/>0.05/>0.05 <0.05/Not included 09 Bianco et al. 2012 Brazil 189/172/77 PCR–RFLP NFK β 1 rs28362491 Del 0.47/0.38/0.31 0.65/0.50/ 0.97 <0.05/Not included 09 Peluso et al. 2013 Brazil 307/275/92 Allelic discrimination TYK2 rs34536443 C 0.06/0.02/0.03 0.51/0.05/ <0.05 <0.05/Not included 06 rs2304256 A 0.23/0.24/0.17 0.83/0.92/ 0.76 0.71/Not included rs280523 A 0.89/0.91/0.89 0.92/0.35/ 0.07 0.25/Not included rs12720270 T 0.17/0.19/0.13 0.30/0.78/ 0.96 0.42/Not included rs12720356 G 0.93/0.93/0.95 0.28/0.99/ 0.90 1.0/Not included Wang et al.2014 China 225/146/65 Allele-specific PCR PCR–RFLP PCR CYP19A1 rs2236722 C 0.05/0.03/0.01 >0.05/>0.05/>0.05 0.36/Not included 08 rs700518 G 0.46/0.43/0.33 >0.05/>0.05/>0.05 0.11/Not included rs10046 T 0.56/0.57/0.53 >0.05/>0.05/>0.05 0.64/Not included [TTTA]n L 0.57/0.58/0.56 >0.05/>0.05/>0.05 0.8/Not included Cavalcanti et al. 2016 Brazil 522/114/251 High-Resolution Melting COX-2 rs20417 G 0.75/0.79/0.79 <0.05/0.30/ 0.08 Not included 09 Notes: LH β : Luteinizing Hormone Subunit Beta. ER β : E s trogen Receptor Beta. FOXP3: Forkhead Box P3. BLyS: B-Lymphocyte Stimulator. PROGINS: Progesterone Receptor. ER β : Estrogen Receptor Beta. PAI-1: Plasminogen Activator Inhibitor 1. NFK β 1: Nuclear Factor Kappa B Subunit 1. TYK2: Tyrosine Kinase 2. COX-2: Cyclooxygenase 2. How to cite link copy function currentDate() { var today = new Date(); var months = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'] today.setTime(today.getTime()); return today.getDate() + " " + months[today.getMonth()] + " " + today.getFullYear(); } var citation = 'EGASHIRA, ERIKA M. et al. Investigation of biomarkers in Endometriosis-associated infertility: Systematic Review. Anais da Academia Brasileira de Ciências [online]. 2022, v. 94, suppl 3 [Accessed CURRENTDATE], e20211572. Available from: . Epub 05 Dec 2022. ISSN 1678-2690. https://doi.org/10.1590/0001-3765202220211572.'.replace('CURRENTDATE', currentDate()); document.getElementById('citation').innerHTML = citation; document.getElementById('citationCut').value = citation.replace('<', ' "); more_horiz Ferramentas do artigo file_download PDFs show_chart Métricas image Figuras e tabelas translate Versões e traduções link Como citar este artigo article Artigos relacionados location_on Academia Brasileira de Ciências Rua Anfilófio de Carvalho, 29, 3º andar, 20030-060 Rio de Janeiro RJ Brasil, Tel: +55 (21) 2391-7901 - Rio de Janeiro - RJ - Brazil E-mail: [email protected] rss_feed Acompanhe os números deste periódico no seu leitor de RSS Versão para download de PDF PDF Inglês Artigos relacionados Lista de links para artigos relacionados. Os links abrem em nova aba. Google (abre em nova aba) Google Scholar (abre em nova aba) Versões e tradução automática Escolha a versão original do texto ou utilize um serviço de tradução automática. Versão original do texto English Tradução automática Google Translator (abre serviço externo de tradução) Microsoft Translator (abre serviço externo de tradução) pre { display: block; padding: 9.5px; margin: 0 0 10px; font-size: 11px; line-height: 1; word-break: break-all; word-wrap: break-word; background-color: #f5f5f5; border: 1px solid #ccc; border-radius: 4px; white-space: pre-wrap; word-break: break-word; } Como citar Escolha um formato para exportar ou selecione um estilo de citação. O conteúdo abaixo pode ser atualizado após a seleção. Baixar em RIS Baixar em BIBTEX Outros formatos de citação e exportação: Enter references manager format or citation style (e.g., "APA", "AMA", "MLA", "Vancouver") vertical_align_top Ir para o topo // Mostrar o botão ao rolar const btnTop = document.getElementById("btnTop"); window.addEventListener("scroll", () => { if (window.scrollY > 200) { btnTop.style.display = "block"; } else { btnTop.style.display = "none"; } }); // Rolar suavemente até o topo ao clicar btnTop.addEventListener("click", () => { window.scrollTo({ top: 0, behavior: "smooth" }); }); .scielo__logo-partner{ max-height: 50px; max-width: 170px; } .scielo__logo-partner--dark{ display:none; } .scielo__theme--dark .scielo__logo-partner--light{ display:none; } .scielo__theme--dark .scielo__logo-partner--dark{ display:inline-block; } Brasil Rua Dr. Diogo de Faria, 1087 – 9º andar – Vila Clementino 04037-003 São Paulo/SP - Brasil E-mail: [email protected] Leia a Declaração de Acesso Aberto Métricas SciELO Analytics Dimensions Altmetric Scite_ Investigation of biomarkers in Endometriosis-associated infertility: Systematic Review PlumX × Close Mensagem × Close Mensagem Reportar erro // Variáveis para tradução da barra de acessibilidade window.accessibilityTranslations = { darkMode: "Modo escuro", increaseText: "Aumentar texto", decreaseText: "Diminuir texto", originalText: "Texto original", markerLine: "Marcador", readingLine: "Linha guia", reset: "Redefinir", accessibilityMenu: "Menu de acessibilidade", skipLinkText: "Ir para o conteúdo principal" }; $(document).ready(function() { // Add rows article search let addRowBtn = $('.addRowBtn'); let placeRow = $('.scielo__dinamic-row'); let newFormRow = ' clear AND OR AND NOT Todos os índices Ano Autor Financiador Periódico Resumo Título '; let btnRemoveRow = $('.btn-danger'); addRowBtn.on( "click", function() { placeRow.append( newFormRow ); }) // Remove as linhas inseridas dinamicamente e as que já estavam lá. placeRow.on( "click", ".btn-danger", function() { $(this).parent().parent().animate({'opacity':0},300).hide(1); }) }); <!-- var insertScript = function(url, callback, parentNode) { var scriptNode = document.createElement("script"); scriptNode.src = url; scriptNode.onload = callback; parentNode.appendChild(scriptNode) } var headNode = document.getElementsByTagName("head")[0]; setTimeout(MathJax.Callback([insertScript, "//badge.dimensions.ai/badge.js", console.log, headNode]), 1500); --> affiliations = {}; function add_scimago_image(selector, remove_br=true, add_br_after=true, find_div=false){ $(selector).each( function () { if (remove_br){ $(this).find("br").remove() } internal_items = find_div ? $(this).find('div').not(".clearfix") : $(this).not(".clearfix") internal_items.each(function () { self = $(this); affiliation_name = $('span:first', self).text(); if (affiliation_name){ scimago_link = ' '; self.append(scimago_link); } }); if (add_br_after){ $(this).after(" ") } }); } add_scimago_image('#ModalScimago .info div') add_scimago_image('.tutors', remove_br=false, add_br_after=false, find_div=true) $(".scimago_link").click(function(e){ e.preventDefault(); affiliation_name = $(this).data("affiliation"); if (affiliation_name){ if (affiliations[affiliation_name]) { window.open(affiliations[affiliation_name], '_blank'); } else { $.ajax({ type: "GET", async: false, url: "/scimago/query?ilang=pt_BR", data: 'q=' + encodeURI(affiliation_name), success: function (data) { if (data) { affiliations[affiliation_name] = 'https://www.scimagoir.com/' + data window.open(affiliations[affiliation_name], '_blank'); }else{ toastr.options = { positionClass: 'toast-top-center' }; toastr.error('Link temporariamente indisponível'); } } }); } } }); var howcite_initialized = false; var citeCslBase = "/citation/zdNsctWVF5y6XChGm8LbGHw/?ilang=pt_BR"; $('#ModalHowcite').on('shown.bs.modal', function () { if (!howcite_initialized) { initial = { "American Psychological Association": "apa", "Vancouver": "vancouver" } $.each(initial, function (key, value) { $.ajax({ url: citeCslBase + (citeCslBase.indexOf('?') >= 0 ? '&' : '?') + 'style=' + value, dataType: 'html', delay: 250, async: true }) .done(function (html) { $(" " + key + " " + " " + html + " ").insertBefore($("#select_label")); }) }); howcite_initialized = true; } $(".js-data-example-ajax").select2({ ajax: { url: "/citation/list?ilang=pt_BR", dataType: 'json', delay: 250, data: function (params) { return { q: params.term, // search term }; }, processResults: function (data, params) { return { results: data.results }; }, cache: true }, escapeMarkup: function (markup) { return markup; }, minimumInputLength: 1, dropdownParent: $('#ModalHowcite') }); $(document).on('select2:open', () => { document.querySelector('.select2-search__field').focus(); }); $(".js-data-example-ajax").on('select2:select', function (e) { var data = e.params.data; $.ajax({ url: citeCslBase + (citeCslBase.indexOf('?') >= 0 ? '&' : '?') + 'style=' + data.id, dataType: 'html', delay: 250 }) .done(function (html) { if ($('#citation_text').css('display') == 'none') { $('#citation_text').show() } $("#citation_text").html(html); }) .fail(function () { alert("Erro ao tentar obter esse estilo de citação"); }) }); }); // Garante que o valor do campo share_url é a URL corrente. $('#share_url').val(window.location.href); //moment.locale('pt_BR'); //$("#date").text(moment().format("L HH:mm:ss ZZ"));