Sign in
Genetic & Genomic MedicineNucleic Acids Research
Peer-reviewed journal article

ExPheWas: a browser for gene-based pheWAS associations

Marc‐André LegaultiD, Louis‐Philippe Lemieux PerreaultiD, Jean‐Claude TardifiD, Marie‐Pierre DubéiD

Abstract

Structured AbstractO_ST_ABSMotivationC_ST_ABSThe relationship between protein coding genes and phenotypes has the potential to inform on the underlying molecular function in disease etiology. We conducted a phenome-wide association study (pheWAS) of protein coding genes using a principal components analysis-based approach in the UK Biobank. ResultsWe tested the association between 19,114 protein coding gene regions and 1,210 phenotypes including anthropometric measurements, laboratory biomarkers, cancer registry data, hospitalization and death record codes and algorithmically-defined cardiovascular outcomes. We report the pheWAS results in a user-friendly web-based browser. Taking atrial fibrillation, a common cardiac arrhythmia, as an example, ExPheWas identified genes that are known drug targets for the treatment of arrhythmias and genes involved in biological processes implicated in cardiac muscle function. We also identified MYOT as a possible atrial fibrillation gene. Availability and implementationThe ExPheWas browser and API are available at http://exphewas.statgen.org/ ContactMarie-Pierre.Dube@mhi-rc.org

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISZheng '26Park '21Choe '20Wang '20Yang '26Dalal '22
61% semantic matchGenetics
Wangjie Zheng, Tianyu Liu, Leqi Xu+4 more·bioRxiv·Apr 22, 2026