DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
03 04 2023
03 04 2023
Historique:
received:
30
08
2022
revised:
06
01
2023
accepted:
03
02
2023
medline:
5
4
2023
pubmed:
7
2
2023
entrez:
6
2
2023
Statut:
ppublish
Résumé
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. The DeepPheWAS R package is freely available under GNU general public licence v3.0 from at https://github.com/Richard-Packer/DeepPheWAS. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 36744935
pii: 7028485
doi: 10.1093/bioinformatics/btad073
pmc: PMC10070035
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Medical Research Council
ID : MC_PC_19004
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Informations de copyright
© The Author(s) 2023. Published by Oxford University Press.
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