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Article

A polygenic and phenotypic risk prediction for Polycystic Ovary Syndrome evaluated by Phenome-wide association studies

2019-07-24

Abstract excerpt

<h4>Purpose</h4> As many as 75% of patients with Polycystic ovary syndrome (PCOS) are estimated to be unidentified in clinical practice. Utilizing polygenic risk prediction, we aim to identify the phenome-wide comorbidity patterns characteristic of PCOS to improve accurate diagnosis and preventive treatment. <h4>Methods and Findings</h4> Leveraging the electronic health records (EHRs) of 124,852 individuals, we...

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Literature Corpus work
3e623836-9765-5bb9-9768-d7379993d0e0
DOI
10.1101/714113
Open publication

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A polygenic and phenotypic risk prediction for Polycystic Ovary Syndrome evaluated by Phenome-wide association studiesDOI 10.1101/714113
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