A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program.
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
15 Oct 2021
15 Oct 2021
Historique:
pubmed:
14
10
2021
medline:
14
10
2021
entrez:
13
10
2021
Statut:
epublish
Résumé
The study aims to determine the shared genetic architecture between COVID-19 severity with existing medical conditions using electronic health record (EHR) data. We conducted a Phenome-Wide Association Study (PheWAS) of genetic variants associated with critical illness (n=35) or hospitalization (n=42) due to severe COVID-19 using genome-wide association summary from the Host Genetics Initiative. PheWAS analysis was performed using genotype-phenotype data from the Veterans Affairs Million Veteran Program (MVP). Phenotypes were defined by International Classification of Diseases (ICD) codes mapped to clinically relevant groups using published PheWAS methods. Among 658,582 Veterans, variants associated with severe COVID-19 were tested for association across 1,559 phenotypes. Variants at the
Identifiants
pubmed: 34642702
doi: 10.1101/2021.05.18.21257396
pmc: PMC8509103
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : CSRD VA
ID : I01 CX001727
Pays : United States
Organisme : Medical Research Council
ID : MC_PC_20058
Pays : United Kingdom
Organisme : NIAMS NIH HHS
ID : P30 AR072577
Pays : United States
Organisme : NIAAA NIH HHS
ID : R01 AA026302
Pays : United States
Commentaires et corrections
Type : UpdateIn