Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm.

<h4>Objective</h4>Diverticular disease (DD) is one of the most prevalent conditions encountered by gastroenterologists, affecting ~50% of Americans before the age of 60. Our aim was to identify genetic risk variants and clinical phenotypes associated with DD, leveraging multiple electron...

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Main Authors:	Yoonjung Yoonie Joo, Jennifer A Pacheco, William K Thompson, Laura J Rasmussen-Torvik, Luke V Rasmussen, Frederick T J Lin, Mariza de Andrade, Kenneth M Borthwick, Erwin Bottinger, Andrew Cagan, David S Carrell, Joshua C Denny, Stephen B Ellis, Omri Gottesman, James G Linneman, Jyotishman Pathak, Peggy L Peissig, Ning Shang, Gerard Tromp, Annapoorani Veerappan, Maureen E Smith, Rex L Chisholm, Andrew J Gawron, M Geoffrey Hayes, Abel N Kho
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2023-01-01
Series:	PLoS ONE
Online Access:	https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0283553&type=printable
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0283553&type=printable

Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm.

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