2020
DOI: 10.1101/2020.06.08.138735
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Multi-ancestry Genome- and Phenome-wide Association Studies of Diverticular Disease in Electronic Health Records with Natural Language Processing enriched phenotype algorithm

Abstract: Disclosures:The authors have no conflicts to declare Accession numbers:The genotypes and phenotypes used in this study were deposited to the NCBI Database of Genotypes and Phenotypes (dbGaP; accession number phs000888.v1.p1). Abstract Background and aims:Diverticular disease is among 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 diverticular disease, utiliz… Show more

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