Pulse Brain · Growing Health Evidence Index
Peer-reviewed

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

Felix R. Day, Tugce Karaderi, Michelle R. Jones, Cindy Meun, Chunyan He, Alex Drong, Peter Kraft, Nan Lin, Hongyan Huang, Linda Broer, Reedik Mägi, Richa Saxena, Triin Laisk, Margrit Urbanek, M. Geoffrey Hayes, Guðmar Þorleifsson, Juan Fernández‐Tajes, Anubha Mahajan, Benjamin H. Mullin, Bronwyn Stuckey, Timothy D. Spector, Scott G. Wilson, Mark O. Goodarzi, Lea K. Davis, Barbara Obermayer‐Pietsch, André G. Uitterlinden, Verneri Anttila, Benjamin M. Neale, Marjo‐Riitta Järvelin, Bart C.J.M. Fauser, Irina Kowalska, Jenny A. Visser, Marianne Andersen, Ken K. Ong, Elisabet Stener‐Victorin, David A. Ehrmann, Richard S. Legro, Andres Salumets, Mark I. McCarthy, Laure Morin‐Papunen, Unnur Þorsteinsdóttir, Kāri Stefánsson, Unnur Styrkársdóttir, John R. B. Perry, Andrea Dunaif, Joop S.E. Laven, Steve Franks, Cecilia M. Lindgren, Corrine K. Welt

PLoS Genetics · 2018

Read source ↗ All evidence

Summary

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 PLGRK

Source type
Peer-reviewed study
DOI
10.1371/journal.pgen.1007813
Catalogue ID
SNmohdwinv-16udun
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.