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

Authors :
Felix Day
Tugce Karaderi
Michelle R Jones
Cindy Meun
Chunyan He
Alex Drong
Peter Kraft
Nan Lin
Hongyan Huang
Linda Broer
Reedik Magi
Richa Saxena
Triin Laisk
Margrit Urbanek
M Geoffrey Hayes
Gudmar Thorleifsson
Juan Fernandez-Tajes
Anubha Mahajan
Benjamin H Mullin
Bronwyn G A Stuckey
Timothy D Spector
Scott G Wilson
Mark O Goodarzi
Lea Davis
Barbara Obermayer-Pietsch
André G Uitterlinden
Verneri Anttila
Benjamin M Neale
Marjo-Riitta Jarvelin
Bart Fauser
Irina Kowalska
Jenny A Visser
Marianne Andersen
Ken Ong
Elisabet Stener-Victorin
David Ehrmann
Richard S Legro
Andres Salumets
Mark I McCarthy
Laure Morin-Papunen
Unnur Thorsteinsdottir
Kari Stefansson
andMe Research Team
Unnur Styrkarsdottir
John R B Perry
Andrea Dunaif
Joop Laven
Steve Franks
Cecilia M Lindgren
Corrine K Welt
Source :
PLoS Genetics, Vol 14, Iss 12, p e1007813 (2018)
Publication Year :
2018
Publisher :
Public Library of Science (PLoS), 2018.

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.

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
15537390 and 15537404
Volume :
14
Issue :
12
Database :
Directory of Open Access Journals
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.68abd5b52b94dbab11b2cca436008a6
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pgen.1007813