Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm.
Joo YY, Pacheco JA, Thompson WK, Rasmussen-Torvik LJ, Rasmussen LV, Lin FTJ, Andrade M, Borthwick KM, Bottinger E, Cagan A, Carrell DS, Denny JC, Ellis SB, Gottesman O, Linneman JG, Pathak J, Peissig PL, Shang N, Tromp G, Veerappan A, Smith ME, Chisholm RL, Gawron AJ, Hayes MG, Kho AN.
Joo YY, et al. Among authors: veerappan a.
PLoS One. 2023 May 17;18(5):e0283553. doi: 10.1371/journal.pone.0283553. eCollection 2023.
PLoS One. 2023.
PMID: 37196047
Free PMC article.