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 Phenotypic clustering reveals distinct subtypes of polycystic ovary syndrome with novel genetic associations

2019 ◽  
Author(s):  
Matthew Dapas ◽  
Frederick T. J. Lin ◽  
Girish N. Nadkarni ◽  
Ryan Sisk ◽  
Richard S. Legro ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Diagnostic Criteria ◽  
Polycystic Ovary ◽  
Reproductive Age ◽  
European Ancestry ◽  
Sequencing Analysis ◽  
Ovary Syndrome ◽  
Biologically Relevant ◽  
Insulin Levels ◽  
Family Based

AbstractBackgroundPolycystic ovary syndrome (PCOS) is a common, complex genetic disorder affecting up to 15% of reproductive age women worldwide, depending on the diagnostic criteria applied. These diagnostic criteria are based on expert opinion and have been the subject of considerable controversy. The phenotypic variation observed in PCOS is suggestive of an underlying genetic heterogeneity, but a recent meta-analysis of European ancestry PCOS cases found that the genetic architecture of PCOS defined by different diagnostic criteria was generally similar, suggesting that the criteria do not identify biologically distinct disease subtypes. We performed this study to test the hypothesis that there are biologically relevant subtypes of PCOS.Methods and FindingsUnsupervised hierarchical cluster analysis was performed on quantitative anthropometric, reproductive, and metabolic traits in a genotyped discovery cohort of 893 PCOS cases and an ungenotyped validation cohort of 263 PCOS cases. We identified two PCOS subtypes: a “reproductive” group (21-23%) characterized by higher luteinizing hormone (LH) and sex hormone binding globulin (SHBG) levels with relatively low body mass index (BMI) and insulin levels; and a “metabolic” group (37-39%), characterized by higher BMI, glucose, and insulin levels with lower SHBG and LH levels. We performed a GWAS on the genotyped cohort, limiting the cases to either the reproductive or metabolic subtypes. We identified alleles in four novel loci that were associated with the reproductive subtype at genome-wide significance (PRDM2/KAZN1, P=2.2×10-10; IQCA1, P=2.8×10-9; BMPR1B/UNC5C, P=9.7×10-9; CDH10, P=1.2×10-8) and one locus that was significantly associated with the metabolic subtype (KCNH7/FIGN, P=1.0×10-8). We have previously reported that rare variants in DENND1A, a gene regulating androgen biosynthesis, were associated with PCOS quantitative traits in a family-based whole genome sequencing analysis. We classified the reproductive and metabolic subtypes in this family-based PCOS cohort and found that the subtypes tended to cluster in families and that carriers of rare DENND1A variants were significantly more likely to have the reproductive subtype of PCOS. Limitations of our study were that only PCOS cases of European ancestry diagnosed by NIH criteria were included, the sample sizes for the subtype GWAS were small, and the GWAS findings were not replicated.ConclusionsIn conclusion, we have found stable reproductive and metabolic subtypes of PCOS. Further, these subtypes were associated with novel susceptibility loci. Our results suggest that these subtypes are biologically relevant since they have distinct genetic architectures. This study demonstrates how precise phenotypic delineation can be more powerful than increases in sample size for genetic association studies.

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 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 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

scholarly journals Is polycystic ovary syndrome appropriately diagnosed by obstetricians and gynaecologists across China: a nationwide survey

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Deng Yan ◽  
Wang Yan-Fang ◽  
Zhu Shi-Yang ◽  
Ma Rui-Lin ◽  
Ding Xue-Song ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Diagnostic Criteria ◽  
Polycystic Ovary ◽  
Final Analysis ◽  
Nationwide Survey ◽  
Care Quality ◽  
Cross Sectional Survey ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Rotterdam Criteria

Abstract Background To describe the diagnostic criteria used and their application accuracy in the practice of polycystic ovary syndrome (PCOS) caring among obstetricians and gynaecologists across China. Methods This was an Online cross-sectional survey of Obstetricians and gynecologists involved in PCOS caring conducted via the largest continuing education platform of obstetrics and gynecology across China from September 2019 to November 2019. Results A total of 2,328 respondents were eligible for the final analysis. Of these, 94.5 % were general obstetricians and gynaecologists (Ge-ObGyn), and 5.5 % were reproductive endocrinologists (Re-ObGyn). Overall, the most frequently used criteria were the Androgen Excess and Polycystic Ovary Syndrome Society (AE-PCOS) criteria (48.2 %), followed by the Rotterdam criteria (35.7 %) and NIH criteria (12.1 %). Of the respondents, 31.3 % used their diagnostic criteria in their clinical practice. More respondents who chose the Rotterdam criteria could accurately apply the diagnostic criteria than those who chose the AE-PCOS criteria (41.2 % vs. 32.1 %, P < 0.001). Compared with Ge-ObGyn, Re-ObGyn were less likely to use the AE-PCOS criteria (adjusted odds ratio, 0.513; 95 % CI, 0.328–0.802; P < 0.05) and 1.492 times more likely to accurately use their criteria (95 % CI, 1.014–2.196; P < 0.05). Conclusions Less than one-third of obstetricians and gynaecologists across China could accurately use the diagnostic criteria they choose to diagnose PCOS. There is an urgent need to train obstetricians and gynaecologists on PCOS diagnosis in an effort to improve the medical care quality of patients with PCOS.

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