Association of CYP17 gene polymorphism (rs743572) with polycystic ovary syndrome

IF 0.8 Q4 GENETICS & HEREDITY
R.M. Ali , T.P. Shkurat , A.A. Alexandrova , E.S. Bugrimova , S.V. Lomteva , M.N. Ammar
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引用次数: 1

Abstract

Introduction

Polycystic ovary syndrome (PCOS) affects 4–20% of women of reproductive age. The contribution of genetic factors to the etiology of PCOS is 79%, and the contribution of the environment, lifestyle and individual history is 21%. It is believed that the increased production of androgens in PCOS is a consequence of dysregulation of various genes involved in the synthesis of steroid hormones, such as CYP11, CYP17 and CYP19. Conflicting data on the association of the CYP17 gene polymorphism (rs743572) with PCOS determined the purpose of this meta-analysis - to study this association in a larger general population in order to determine whether polymorphism in the CYP17 T/C promoter is associated with an increased risk of PCOS.

Methods

A systematic search was carried out in various databases for articles on the relationship between rs743572 polymorphism of gene CYP17 and PCOS risk published up to May 2021. The articles were analyzed in accordance with the recommendations for systematic reviews and meta-analyzes (PRISMA). The criteria for inclusion of studies in the meta-analysis were: (i) case-control studies with healthy populations as controls; (ii) a study describing the diagnostic criteria for PCOS, sources of cases and controls; (iii) studies of genetic associations showing the frequency of genotypes of the studied polymorphism and PCOS in humans; (iv) sufficient genotype data to calculate odds ratio (OR) and 95% confidence interval (CI). The control HWE was first assessed for each study using the chi-square test (χ2). Meta-analysis was performed using Review Manager version 5.4. Odds ratios (OR) with a 95% confidence interval (CI) were used to assess the strength of the association between the rs743572 polymorphism of gene CYP17 and PCOS. Pooled OR was calculated for dominant (CC + TC vs. TT), recessive (CC vs. TC + TT), and allelic (C vs. T) models, as well as for homozygous (CC vs. TT) and heterozygous (TC vs. TT) models.

Results

Out of 577 potentially relevant articles, 17 articles were selected for eligibility assessment after excluding irrelevant and duplicate articles. 2283 cases and 2200 controls were evaluated to identify the relationship between the rs743572 polymorphism of the CYP17 gene and PCOS. Carriage of allele C was considered to increase the risk of PCOS. A significant association with PCOS risk was found for rs743572 in the general population using dominant, allelic and heterozygous models: (p = 0.005, OR = 1.41, 95% CI 1.11–1.79; p = 0, 006, OR = 1.28, 95% CI 1.07–1.53; p = 0.01, OR = 1.38, 95% CI 1.07–1.77), respectively. An association between this polymorphism and PCOS risk was not found in the recessive and homozygous models: (p = 0.16, OR = 1.21, 95% CI 0.93–1.58; p = 0, 08, OR = 1.31, 95% CI 0.96–1.78), respectively. Subgroup analysis according to the ethnicity of the participants showed significant associations between Asian and European populations: a higher association was found among Asian populations in the dominant model (p = 0.04, OR = 1.59, 95% CI 1.02–2.48).

Conclusions

The meta-analysis showed an increased risk of PCOS in carriers of the C allele rs743572, thus, polymorphism rs743572 is a risk factor for PCOS, especially in the Asian population. To determine the genetic risks of PCOS, further research is needed on different haplotypes and their association with PCOS risk.

CYP17基因多态性(rs743572)与多囊卵巢综合征的关系
多囊卵巢综合征(PCOS)影响4-20%的育龄妇女。遗传因素对多囊卵巢综合征病因的贡献为79%,环境、生活方式和个人病史的贡献为21%。人们认为,多囊卵巢综合征中雄激素的产生增加是参与合成类固醇激素的各种基因失调的结果,如CYP11、CYP17和CYP19。关于CYP17基因多态性(rs743572)与PCOS相关性的相互矛盾的数据决定了本荟萃分析的目的——在更大的一般人群中研究这种相关性,以确定CYP17 T/C启动子多态性是否与PCOS风险增加相关。方法系统检索截至2021年5月在各数据库发表的CYP17基因rs743572多态性与PCOS风险关系的文章。根据系统评价和荟萃分析(PRISMA)的建议对文章进行分析。纳入meta分析研究的标准是:(i)以健康人群为对照的病例对照研究;(ii)一项研究,描述多囊症的诊断标准、病例来源及对照;(iii)基因关联研究,显示所研究的多态性与人类多囊卵巢综合征基因型的频率;(iv)足够的基因型数据来计算优势比(OR)和95%置信区间(CI)。每个研究的对照HWE首先采用卡方检验(χ2)评估。meta分析使用Review Manager版本5.4进行。采用95%置信区间(CI)的优势比(OR)来评估CYP17基因rs743572多态性与PCOS之间的关联强度。计算显性(CC + TC vs. TT)、隐性(CC vs. TC + TT)和等位基因(C vs. T)模型以及纯合子(CC vs. TT)和杂合子(TC vs. TT)模型的合并OR。结果在577篇可能相关的文献中,剔除不相关和重复的文献,筛选出17篇文献进行合格性评估。对2283例患者和2200例对照组进行分析,以确定CYP17基因rs743572多态性与PCOS的关系。携带等位基因C被认为会增加多囊卵巢综合征的风险。使用显性、等位基因和杂合模型发现,rs743572在普通人群中与PCOS风险显著相关(p = 0.005, OR = 1.41, 95% CI 1.11-1.79;p = 0.006, OR = 1.28, 95% CI 1.07-1.53;p = 0.01, = 1.38, 95% CI 1.07 - -1.77)。在隐性和纯合子模型中未发现该多态性与PCOS风险之间的关联(p = 0.16, OR = 1.21, 95% CI 0.93-1.58;p = 0, 08年= 1.31,95% CI 0.96 - -1.78)。根据参与者种族进行的亚组分析显示,亚洲人群和欧洲人群之间存在显著相关性:在优势模型中,亚洲人群的相关性更高(p = 0.04, OR = 1.59, 95% CI 1.02-2.48)。结论荟萃分析显示,携带C等位基因rs743572的人患PCOS的风险增加,因此,rs743572多态性是PCOS的危险因素,尤其是在亚洲人群中。为了确定PCOS的遗传风险,需要进一步研究不同的单倍型及其与PCOS风险的关系。
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来源期刊
Meta Gene
Meta Gene Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
1.10
自引率
0.00%
发文量
20
期刊介绍: Meta Gene publishes meta-analysis, polymorphism and population study papers that are relevant to both human and non-human species. Examples include but are not limited to: (Relevant to human specimens): 1Meta-Analysis Papers - statistical reviews of the published literature of human genetic variation (typically linked to medical conditionals and/or congenital diseases) 2Genome Wide Association Studies (GWAS) - examination of large patient cohorts to identify common genetic factors that influence health and disease 3Human Genetics Papers - original studies describing new data on genetic variation in smaller patient populations 4Genetic Case Reports - short communications describing novel and in formative genetic mutations or chromosomal aberrations (e.g., probands) in very small demographic groups (e.g., family or unique ethnic group). (Relevant to non-human specimens): 1Small Genome Papers - Analysis of genetic variation in organelle genomes (e.g., mitochondrial DNA) 2Microbiota Papers - Analysis of microbiological variation through analysis of DNA sequencing in different biological environments 3Ecological Diversity Papers - Geographical distribution of genetic diversity of zoological or botanical species.
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