scholarly journals Cross-Ethnic Meta-Analysis of Genetic Variants for Polycystic Ovary Syndrome

2013 ◽  
Vol 98 (12) ◽  
pp. E2006-E2012 ◽  
Author(s):  
Yvonne V. Louwers ◽  
Lisette Stolk ◽  
André G. Uitterlinden ◽  
Joop S. E. Laven
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Genetic Variants ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
The United States ◽  
European Ancestry ◽  
P Value ◽  
Genome Wide Association Studies ◽  
Ovary Syndrome ◽  
Northern European

Context: Genome-wide association studies (GWAS) have revealed new susceptibility loci for Chinese patients with polycystic ovary syndrome (PCOS). Because ethnic background adds to phenotypic diversities in PCOS, it seems plausible that genetic variants associated with PCOS act differently in various ethnic populations. Objective: We studied cross-ethnic effects of Chinese PCOS loci (ie, LHCGR, THADA, DENND1A, FSHR, c9orf3, YAP1, RAB5B/SUOX, HMGA2, TOX3, INSR, SUMO1P1) in patients of Northern European descent. Design: This study was a genetic association study conducted at an University Medical Center. Patients: Association was studied in 703 Dutch PCOS patients and 2164 Dutch controls. To assess the cross-ethnic effect, we performed a meta-analysis of the Dutch data combined with results of previously published studies in PCOS patients from China (n = 2254) and the United States (n = 2618). Adjusted for multiple testing, a P value <3.1 × 10−3 was considered statistically significant. Results: Meta-analysis of the Chinese, US, and Dutch data resulted in 12 significant variants mapping to the YAP1 (P value = 1.0× 10−9), RAB5B/SUOX (P value = 3.8 × 10−11), LHCGR (P value = 4.1 × 10−4), THADA (P value = 2.2 × 10−4 and P value = 1.3 × 10−3), DENND1A (P value = 2.3 × 10−3 and P value = 2.5 × 10−3), FSHR (P value = 3.8 × 10−5 and P value = 3.6 × 10−4), c9orf3 (P value = 2.0 × 10−6 and P value = 9.2 × 10−6), SUMO1P1 (P value = 2.3 × 10−3) loci with odds ratios ranging from 1.19 to 1.45 and 0.79 to 0.87. Conclusions: Overall, we observed for 12 of 17 genetic variants mapping to the Chinese PCOS loci similar effect size and identical direction in PCOS patients from Northern European ancestry, indicating a common genetic risk profile for PCOS across populations. Therefore, it is expected that large GWAS in PCOS patients from Northern European ancestry will partly identify similar loci as the GWAS in Chinese PCOS patients.

scholarly journals Family-Based Quantitative Trait Meta-Analysis Implicates Rare Noncoding Variants in DENND1A in Polycystic Ovary Syndrome

2019 ◽  
Vol 104 (9) ◽  
pp. 3835-3850 ◽  
Author(s):  
Matthew Dapas ◽  
Ryan Sisk ◽  
Richard S Legro ◽  
Margrit Urbanek ◽  
Andrea Dunaif ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Quantitative Trait ◽  
Rare Variants ◽  
Polycystic Ovary ◽  
Association Studies ◽  
Meta Analysis ◽  
Premenopausal Women ◽  
Endocrine Disorders ◽  
Genome Wide Association Studies ◽  
Ovary Syndrome

AbstractContextPolycystic ovary syndrome (PCOS) is among the most common endocrine disorders of premenopausal women, affecting 5% to15% of this population depending on the diagnostic criteria applied. It is characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovarian morphology. PCOS is highly heritable, but only a small proportion of this heritability can be accounted for by the common genetic susceptibility variants identified to date.ObjectiveThe objective of this study was to test whether rare genetic variants contribute to PCOS pathogenesis.Design, Patients, and MethodsWe performed whole-genome sequencing on DNA from 261 individuals from 62 families with one or more daughters with PCOS. We tested for associations of rare variants with PCOS and its concomitant hormonal traits using a quantitative trait meta-analysis.ResultsWe found rare variants in DENND1A (P = 5.31 × 10−5, adjusted P = 0.039) that were significantly associated with reproductive and metabolic traits in PCOS families.ConclusionsCommon variants in DENND1A have previously been associated with PCOS diagnosis in genome-wide association studies. Subsequent studies indicated that DENND1A is an important regulator of human ovarian androgen biosynthesis. Our findings provide additional evidence that DENND1A plays a central role in PCOS and suggest that rare noncoding variants contribute to disease pathogenesis.

scholarly journals Family-based quantitative trait meta-analysis implicates rare noncoding variants in DENND1A in pathogenesis of polycystic ovary syndrome

2018 ◽  
Author(s):  
Matthew Dapas ◽  
Ryan Sisk ◽  
Richard S. Legro ◽  
Margrit Urbanek ◽  
Andrea Dunaif ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Quantitative Trait ◽  
Rare Variants ◽  
Polycystic Ovary ◽  
Association Studies ◽  
Meta Analysis ◽  
Premenopausal Women ◽  
Endocrine Disorders ◽  
Genome Wide Association Studies ◽  
Ovary Syndrome

ABSTRACTPolycystic ovary syndrome (PCOS) is among the most common endocrine disorders of premenopausal women, affecting 5-15% of this population depending on the diagnostic criteria applied. It is characterized by hyperandrogenism, ovulatory dysfunction and polycystic ovarian morphology. PCOS is a leading risk factor for type 2 diabetes in young women. PCOS is highly heritable, but only a small proportion of this heritability can be accounted for by the common genetic susceptibility variants identified to date. To test the hypothesis that rare genetic variants contribute to PCOS pathogenesis, we performed whole-genome sequencing on DNA from 62 families with one or more daughters with PCOS. We tested for associations of rare variants with PCOS and its concomitant hormonal traits using a quantitative trait meta-analysis. We found rare variants in DENND1A (P=5.31×10−5, Padj=0.019) that were significantly associated with reproductive and metabolic traits in PCOS families. Common variants in DENND1A have previously been associated with PCOS diagnosis in genome-wide association studies. Subsequent studies indicated that DENND1A is an important regulator of human ovarian androgen biosynthesis. Our findings provide additional evidence that DENND1A plays a central role in PCOS and suggest that rare noncoding variants contribute to disease pathogenesis.

scholarly journals Variants in SULT2A1 Affect the DHEA Sulphate to DHEA Ratio in Patients With Polycystic Ovary Syndrome But Not the Hyperandrogenic Phenotype

2013 ◽  
Vol 98 (9) ◽  
pp. 3848-3855 ◽  
Author(s):  
Yvonne V. Louwers ◽  
Frank H. de Jong ◽  
Nathalie A. A. van Herwaarden ◽  
Lisette Stolk ◽  
Bart C. J. M. Fauser ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Genetic Variants ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Significant Snps ◽  
Serum Levels ◽  
Dehydroepiandrosterone Sulfate ◽  
Nucleotide Polymorphisms ◽  
Ovary Syndrome ◽  
Hormone Levels

Context: Because of the elevated dehydroepiandrosterone sulfate (DHEAS) levels in polycystic ovary syndrome (PCOS) and the heritability of DHEAS serum levels, genes encoding the enzymes that control the sulfation of dehydroepiandrosterone (DHEA) to DHEAS and vice versa are obvious candidate genes to explain part of the heritability of PCOS. Objective: The objective of the study was to determine the role of genetic variants in sulfotransferase (SULT2A1), 3-phosphoadenosine 5-phosphosulfate synthase isoform 2 (PAPSS2), and steroid sulfatase (STS) in PCOS and in hormone levels related to the hyperandrogenic phenotype of PCOS. Design: This was a candidate-gene study. Patients: The discovery set consisted of 582 patients and 2017 controls. Main Outcome Measures: A pruned subset of 28 single-nucleotide polymorphisms (SNPs) in SULT2A1, PAPSS2, and STS was generated based on pairwise genotypic correlation. Association with PCOS was tested, and we studied whether the SNPs modulate DHEAS levels, DHEA levels, and their ratio in PCOS. Significant SNPs were replicated in an independent sample of patients. Results: None of the SNPs in SULT2A1, PAPSS2, and STS constituted risk alleles for PCOS. SNP rs2910397 in SULT2A1 decreased the DHEAS to DHEA ratio in PCOS by 5% in the discovery sample. Meta-analysis of discovery and replication sample resulted in a combined effect of −0.095 (P = .027). However, carrying the minor T allele did not contribute to differences in the hyperandrogenic phenotype, including the levels of T and androstenedione, of PCOS patients. Conclusions: Genetic variants in SULT2A1, PAPSS2, and STS do not predispose to PCOS. Although a variant in SULT2A1 decreased the DHEAS to DHEA ratio, no changes in other androgenic hormone levels were observed.

scholarly journals The Association Between Genetically Predicted Systemic Inflammatory Regulators and Polycystic Ovary Syndrome: A Mendelian Randomization Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Hanxiao Chen ◽  
Yaoyao Zhang ◽  
Shangwei Li ◽  
Yuanzhi Tao ◽  
Rui Gao ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Genome Wide Association Study ◽  
Metabolic Diseases ◽  
Mendelian Randomization ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Reproductive Age ◽  
European Ancestry ◽  
Ovary Syndrome ◽  
Increased Risk

Polycystic ovary syndrome (PCOS) is one of the most common endocrine and metabolic diseases among women of reproductive age. Inflammation may be involved in the pathogenesis of PCOS, but its exact relationship with PCOS remains unclear. Herein, we investigate the causal association between systemic inflammatory regulators and PCOS risk through a two-sample Mendelian randomization (MR) approach based on the latest and largest genome-wide association study (GWAS) of 41 systemic inflammatory regulators in 8293 Finnish participants and a GWAS meta-analysis consisting of 10,074 PCOS cases and 103,164 controls of European ancestry. Our results suggest that higher levels of IL-17 and SDF1a, as well as lower levels of SCGFb and IL-4, are associated with an increased risk of PCOS (OR = 1.794, 95% CI = 1.150 – 2.801, P = 0.010; OR = 1.563, 95% CI = 1.055 – 2.315, P = 0.026; OR = 0.838, 95% CI = 0.712 – 0.986, P = 0.034; and OR = 0.637, 95% CI = 0.413 – 0.983, P = 0.042, respectively). In addition, genetically predicted PCOS is related to increased levels of IL-2 and VEGF (OR = 1.257, 95% CI = 1.022 – 1.546, P = 0.030 and OR = 1.112, 95% CI = 1.006 – 1.229, P = 0.038, respectively). Our results indicate the essential role of cytokines in the pathogenesis of PCOS. Further studies are warranted to assess the possibility of these biomarkers as targets for PCOS prevention and treatment.

scholarly journals Large-Scale Genome-Wide Meta Analysis of Polycystic Ovary Syndrome Suggests Shared Genetic Architecture for Different Diagnosis Criteria

2018 ◽  
Author(s):  
Felix Day ◽  
Tugce Karaderi ◽  
Michelle R. Jones ◽  
Cindy Meun ◽  
Chunyan He ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Diagnostic Criteria ◽  
Genetic Architecture ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Self Report ◽  
European Ancestry ◽  
Fasting Insulin ◽  
Ovary Syndrome ◽  
Shared Genetic

AbstractPolycystic ovary syndrome (PCOS) is a disorder characterized by hyperandrogenism, ovulatory dysfunction and polycystic ovarian morphology. Affected women frequently have metabolic disturbances including insulin resistance and dysregulation of glucose homeostasis. PCOS is diagnosed with two different sets of diagnostic criteria, resulting in a phenotypic spectrum of PCOS cases. The genetic similarities between cases diagnosed with different criteria have been largely unknown. Previous studies in Chinese and European subjects have identified 16 loci associated with risk of PCOS. We report a meta-analysis from 10,074 PCOS cases and 103,164 controls of European ancestry and characterisation of PCOS related traits. We identified 3 novel loci (near PLGRKT, ZBTB16 and MAPRE1), and provide replication of 11 previously reported loci. Identified variants were associated with hyperandrogenism, gonadotropin regulation and testosterone levels in affected women. Genetic correlations with obesity, fasting insulin, type 2 diabetes, lipid levels and coronary artery disease indicate shared genetic architecture between metabolic traits and PCOS. Mendelian randomization analyses suggested variants associated with body mass index, fasting insulin, menopause timing, depression and male-pattern balding play a causal role in PCOS. Only one locus differed in its association by diagnostic criteria, otherwise the genetic architecture was similar between PCOS diagnosed by self-report and PCOS diagnosed by NIH or Rotterdam criteria across common variants at 13 loci.

scholarly journals Non‐alcoholic fatty liver disease in premenopausal women with polycystic ovary syndrome: A systematic review and meta‐analysis

JGH Open ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 434-445
Author(s):  
Mohamed Shengir ◽  
Tianyan Chen ◽  
Elena Guadagno ◽  
Agnihotram V Ramanakumar ◽  
Peter Ghali ◽  
...  
Keyword(s):  
Systematic Review ◽  
Liver Disease ◽  
Polycystic Ovary Syndrome ◽  
Fatty Liver Disease ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Premenopausal Women ◽  
Ovary Syndrome ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease
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