Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactions.

Am J Hum Genet

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. Electronic address:

Published: October 2024

AI Article Synopsis

  • - Researchers studied how certain genes are expressed differently across various ancestries by analyzing single-cell RNA-sequencing data from individuals of East Asian and European descent, uncovering 172,385 cells in their analysis.
  • - They found that these ancestry-specific genes (ancDE genes) are often linked to environmental interactions and have different effects on diseases based on ancestry, indicating a complex relationship between genetics and environment.
  • - The study emphasized the need for comprehensive single-cell and genome-wide association study (GWAS) data from diverse ancestries to enhance our understanding of human diseases and their genetic underpinnings.

Article Abstract

Multi-ancestry genome-wide association studies (GWASs) 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-sequencing data in peripheral blood mononuclear cells for 21 individuals with East Asian (EAS) ancestry and 23 individuals with European (EUR) ancestry (172,385 cells); then, we tested whether variants surrounding those genes were enriched in disease variants with ancestry-specific effect sizes by leveraging ancestry-matched GWASs of 31 diseases and complex traits (average n ∼ 90,000 and ∼ 267,000 in EAS and EUR, respectively). We observed that ancDE genes tended to be cell-type specific and enriched in genes interacting with the environment and in variants with ancestry-specific disease effect sizes, which suggests cell-type-specific, gene-by-environment interactions shared between regulatory and disease architectures. Finally, we illustrated how different environments might have led to ancestry-specific myeloid cell leukemia 1 (MCL1) expression in B cells and ancestry-specific allele effect sizes in lymphocyte count GWASs for variants surrounding MCL1. Our results imply that large single-cell and GWAS datasets from diverse ancestries are required to improve our understanding of human diseases.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11480800PMC
http://dx.doi.org/10.1016/j.ajhg.2024.07.021DOI Listing

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