Last updated:
Author(s):
Richard J Packer, Alex T Williams, William Hennah, Micaela T Eisenberg, Nick Shrine, Katherine A Fawcett, Willow Pearson, Anna L Guyatt, Ahmed Edris, Edward J Hollox, Mikko Marttila, Balasubramanya S Rao, John Raymond Bratty, Louise V Wain, Frank Dudbridge, Martin D Tobin
Publish date:
6 February 2023
Journal:
Bioinformatics
PubMed ID:
36744935

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.

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Institution:
University of Leicester, Great Britain

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