One of the nearly significant associations included rs11843418 ( FAM115A ), which was previously identified [ 17 , 19 ] but not significantly detected in our NLP-enriched GWAS possibly due to statistical power or varying genetic composition of study cohorts ( S4 Table ) .
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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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