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Article

Application of clinical text data for phenome-wide association studies (PheWASs).

Bioinformatics (Oxford, England) - 15 Jun 2015

Hebbring Scott J, Rastegar-Mojarad Majid, Ye Zhan, Mayer John, Jacobson Crystal, Lin Simon

Abstract excerpt

MOTIVATION: Genome-wide association studies (GWASs) are effective for describing genetic complexities of common diseases. Phenome-wide association studies (PheWASs) offer an alternative and complementary approach to GWAS using data embedded in the electronic health record (EHR) to define the phenome. International Classification of Disease version 9 (ICD9) codes are used frequently to define the phenome, but...

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Identifiers

PMID: 25657332
DOI: 10.1093/bioinformatics/btv076
PMCID: PMC4481696

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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