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- Title
DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies.
- Authors
Packer, Richard J; Williams, Alex T; Hennah, William; Eisenberg, Micaela T; Shrine, Nick; Fawcett, Katherine A; Pearson, Willow; Guyatt, Anna L; Edris, Ahmed; Hollox, Edward J; Marttila, Mikko; Rao, Balasubramanya S; Bratty, John Raymond; Wain, Louise V; Dudbridge, Frank; Tobin, Martin D
- Abstract
Summary: DeepPheWAS is an R package for phenome-wide association studies that creates clinically curated composite phenotypes and integrates quantitative phenotypes from primary care data, longitudinal trajectories of quantitative measures, disease progression and drug response phenotypes. Tools are provided for efficient analysis of association with any genetic input, under any genetic model, with optional sex-stratified analysis, and for developing novel phenotypes. Availability and implementation: The DeepPheWAS R package is freely available under GNU general public licence v3.0 from at https://github.com/Richard-Packer/DeepPheWAS. Supplementary information: Supplementary data are available at Bioinformatics online.
- Subjects
GENETIC models; PHENOTYPES; DISEASE progression; PRIMARY care
- Publication
Bioinformatics, 2023, Vol 39, Issue 4, p1
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btad073