Estimating gene-level false discovery probability improves eQTL statistical fine-mapping precision.
Journal
NAR genomics and bioinformatics
ISSN: 2631-9268
Titre abrégé: NAR Genom Bioinform
Pays: England
ID NLM: 101756213
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
24
03
2023
revised:
10
08
2023
accepted:
25
09
2023
medline:
2
11
2023
pubmed:
2
11
2023
entrez:
2
11
2023
Statut:
epublish
Résumé
Statistical fine-mapping prioritizes putative causal variants from a large number of candidate variants, and is widely used in expression quantitative loci (eQTLs) studies. In eQTL fine-mapping, the existence of causal variants for gene expression is not guaranteed, since the genetic heritability of gene expression explained by nearby (
Identifiants
pubmed: 37915762
doi: 10.1093/nargab/lqad090
pii: lqad090
pmc: PMC10616627
doi:
Types de publication
Journal Article
Langues
eng
Pagination
lqad090Informations de copyright
© The Author(s) 2023. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.
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