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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發表在: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
格式: Artigo
語言:Inglês
出版: Oxford University Press 2020
主題:
Clinical Research Articles
在線閱讀: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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