A Polygenic and Phenotypic Risk Prediction for Polycystic Ovary Syndrome Evaluated by Phenome-Wide Association Studies

CONTEXT: As many as 75% of patients with polycystic ovary syndrome (PCOS) are estimated to be unidentified in clinical practice. OBJECTIVE: Utilizing polygenic risk prediction, we aim to identify the phenome-wide comorbidity patterns characteristic of PCOS to improve accurate diagnosis and preventiv...

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Detalhes bibliográficos
Publicado no:J Clin Endocrinol Metab
Main Authors: Joo, Yoonjung Yoonie, Actkins, Ky’Era, Pacheco, Jennifer A, Basile, Anna O, Carroll, Robert, Crosslin, David R, Day, Felix, Denny, Joshua C, Velez Edwards, Digna R, Hakonarson, Hakon, Harley, John B, Hebbring, Scott J, Ho, Kevin, Jarvik, Gail P, Jones, Michelle, Karaderi, Tugce, Mentch, Frank D, Meun, Cindy, Namjou, Bahram, Pendergrass, Sarah, Ritchie, Marylyn D, Stanaway, Ian B, Urbanek, Margrit, Walunas, Theresa L, Smith, Maureen, Chisholm, Rex L, Kho, Abel N, Davis, Lea, Hayes, M Geoffrey
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Clinical Research Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7453038/
https://ncbi.nlm.nih.gov/pubmed/31917831
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1210/clinem/dgz326
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