Weighted multiple testing procedures in genome-wide association studies.
False discovery rate
Genome wide association studies
Weighted MTP
Journal
PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425
Informations de publication
Date de publication:
2023
2023
Historique:
received:
16
09
2022
accepted:
17
04
2023
medline:
21
6
2023
pubmed:
20
6
2023
entrez:
20
6
2023
Statut:
epublish
Résumé
Multiple testing procedures controlling the false discovery rate (FDR) are increasingly used in the context of genome wide association studies (GWAS), and weighted multiple testing procedures that incorporate covariate information are efficient to improve the power to detect associations. In this work, we evaluate some recent weighted multiple testing procedures in the specific context of GWAS through a simulation study. We also present a new efficient procedure called wBHa that prioritizes the detection of genetic variants with low minor allele frequencies while maximizing the overall detection power. The results indicate good performance of our procedure compared to other weighted multiple testing procedures. In particular, in all simulated settings, wBHa tends to outperform other procedures in detecting rare variants while maintaining good overall power. The use of the different procedures is illustrated with a real dataset.
Identifiants
pubmed: 37337586
doi: 10.7717/peerj.15369
pii: 15369
pmc: PMC10276986
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e15369Informations de copyright
©2023 Obry et al.
Déclaration de conflit d'intérêts
The authors declare there are no competing interests.
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