A polygenic and phenotypic risk prediction for Polycystic Ovary Syndrome evaluated by Phenome-wide association studies
Yoonjung Yoonie Joo, Ky’Era V. Actkins, Jennifer A. Pacheco, Anna Okula Basile, Robert J. Carroll, David R. Crosslin, Felix R. Day, Joshua C. Denny, Digna R. Velez Edwards, Hakon H. Hakonarson, John B. Harley, Scott Joseph Hebbring, Kevin Ho, Gail Pairitz Jarvik, Michelle R. Jones, , Corrine Kolka Welt
This study develops a polygenic and phenotypic risk score for PCOS using EHR data, showing improved detection and identifying shared metabolic and endocrine comorbidities.
The Journal of Clinical Endocrinology & Metabolism · Jan 9, 2020Peer-reviewedBioinformatics