ArticleAmerican journal of human genetics2024
Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactions.
Article in American journal of human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Reporting and representation of population descriptors in public RNA-seq databases.Cell genomics · 2026Article
- DNA methylation in the placenta and household socioeconomic status: the SPAH study.Clinical epigenetics · 2026Article
- Long-read transcriptomics of a diverse human cohort reveals ancestry bias in gene annotation.Nature communications · 2025Article
- Widespread recessive effects on common diseases in a cohort of 44,000 British Pakistanis and Bangladeshis with high autozygosity.American journal of human genetics · 2025Article
- Efficient count-based models improve power and robustness for large-scale single-cell eQTL mapping.medRxiv : the preprint server for health sciences · 2025Article
- Powerful mapping ofmedRxiv : the preprint server for health sciences · 2024Article
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Authors and funding
5 authors.
Funding
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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