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

Author

Listed:
  • 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
  • the 23andMe Research Team
  • Unnur Styrkarsdottir
  • John R B Perry
  • Andrea Dunaif
  • Joop Laven
  • Steve Franks
  • Cecilia M Lindgren
  • Corrine K Welt

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.Author summary: We performed an international meta-analysis of genome-wide association studies combining over 10,000,000 genetic markers in more than 10,000 European women with polycystic ovary syndrome (PCOS) and 100,000 controls. We found three new risk variants associated with PCOS. Our data demonstrate that the genetic architecture does not differ based on the diagnostic criteria used for PCOS. We also demonstrate a genetic pathway shared with male pattern baldness, representing the first evidence for shared disease biology in men, and shared genetics with depression, previously postulated based only on observational studies.

Suggested Citation

  • 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 , 2018. "Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria," PLOS Genetics, Public Library of Science, vol. 14(12), pages 1-20, December.
  • Handle: RePEc:plo:pgen00:1007813
    DOI: 10.1371/journal.pgen.1007813
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