Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
21 Oct 2023
Historique:
pubmed: 31 10 2023
medline: 31 10 2023
entrez: 31 10 2023
Statut: epublish

Résumé

Multi-ancestry genome-wide association studies (GWAS) have highlighted the existence of variants with ancestry-specific effect sizes. Understanding where and why these ancestry-specific effects occur is fundamental to understanding the genetic basis of human diseases and complex traits. Here, we characterized genes differentially expressed across ancestries (ancDE genes) at the cell-type level by leveraging single-cell RNA-seq data in peripheral blood mononuclear cells for 21 individuals with East Asian (EAS) ancestry and 23 individuals with European (EUR) ancestry (172K cells); then, we tested if variants surrounding those genes were enriched in disease variants with ancestry-specific effect sizes by leveraging ancestry-matched GWAS of 31 diseases and complex traits (average

Identifiants

pubmed: 37905038
doi: 10.1101/2023.10.20.23297214
pmc: PMC10615008
pii:
doi:

Types de publication

Preprint

Langues

eng

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Auteurs

Juehan Wang (J)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Steven Gazal (S)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.

Classifications MeSH