Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria

Felix R. Day(University of Cambridge), Tugce Karaderi(Centre for Human Genetics), Michelle R. Jones(Cedars-Sinai Medical Center), Cindy Meun(Erasmus MC), Chunyan He(University of Kentucky), Alex Drong(Centre for Human Genetics), Peter Kraft(Harvard University), Nan Lin(University of Kentucky), Hongyan Huang(Harvard University), Linda Broer(Erasmus MC), Reedik Mägi(University of Tartu), Richa Saxena(Broad Institute), Triin Laisk(University of Tartu), Margrit Urbanek(Northwestern University), M. Geoffrey Hayes(Northwestern University), Guðmar Þorleifsson(deCODE Genetics (Iceland)), Juan Fernández‐Tajes(Centre for Human Genetics), Anubha Mahajan(Centre for Human Genetics), Benjamin H. Mullin(The University of Western Australia), Bronwyn Stuckey(The University of Western Australia), Timothy D. Spector(King's College London), Scott G. Wilson(The University of Western Australia), Mark O. Goodarzi(Cedars-Sinai Medical Center), Lea K. Davis(Vanderbilt University Medical Center), Barbara Obermayer‐Pietsch(Medical University of Graz), André G. Uitterlinden(Erasmus MC), Verneri Anttila(Broad Institute), Benjamin M. Neale(Broad Institute), Marjo‐Riitta Järvelin(Oulu University Hospital), Bart C.J.M. Fauser(University Medical Center Utrecht), Irina Kowalska(Medical University of Białystok), Jenny A. Visser(Erasmus MC), Marianne Andersen(University of Southern Denmark), Ken K. Ong(University of Cambridge), Elisabet Stener‐Victorin(Karolinska Institutet), David A. Ehrmann(University of Chicago), Richard S. Legro(Penn State Milton S. Hershey Medical Center), Andres Salumets(University of Helsinki), Mark I. McCarthy(Centre for Human Genetics), Laure Morin‐Papunen(Oulu University Hospital), Unnur Þorsteinsdóttir(deCODE Genetics (Iceland)), Kāri Stefánsson(deCODE Genetics (Iceland)), Unnur Styrkársdóttir(deCODE Genetics (Iceland)), John R. B. Perry(University of Cambridge), Andrea Dunaif(Northwestern University), Joop S.E. Laven(Erasmus MC), Steve Franks(Imperial College London), Cecilia M. Lindgren(Broad Institute), Corrine K. Welt(University of Utah)
PLoS Genetics
December 19, 2018
Cited by 682Open Access
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Abstract

Polycystic 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 based on the two criteria have been largely unknown. Previous studies in Chinese and European subjects have identified 16 loci associated with risk of PCOS. We report a fixed-effect, inverse-weighted-variance 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. Only one locus differed significantly in its association by diagnostic criteria; otherwise the genetic architecture was similar between PCOS diagnosed by self-report and PCOS diagnosed by NIH or non-NIH Rotterdam criteria across common variants at 13 loci. Identified variants were associated with hyperandrogenism, gonadotropin regulation and testosterone levels in affected women. Linkage disequilibrium score regression analysis revealed genetic correlations with obesity, fasting insulin, type 2 diabetes, lipid levels and coronary artery disease, indicating 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. The data thus demonstrate 3 novel loci associated with PCOS and similar genetic architecture for all diagnostic criteria. The data also provide the first genetic evidence for a male phenotype for PCOS and a causal link to depression, a previously hypothesized comorbid disease. Thus, the genetics provide a comprehensive view of PCOS that encompasses multiple diagnostic criteria, gender, reproductive potential and mental health.


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