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Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions
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 cha...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615008/ https://www.ncbi.nlm.nih.gov/pubmed/37905038 http://dx.doi.org/10.1101/2023.10.20.23297214 |
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author | Wang, Juehan Gazal, Steven |
author_facet | Wang, Juehan Gazal, Steven |
author_sort | Wang, Juehan |
collection | PubMed |
description | 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 N = 90K and 267K in EAS and EUR, respectively). We observed that ancDE genes tend to be cell-type-specific, to be enriched in genes interacting with the environment, and in variants with ancestry-specific disease effect sizes, suggesting the impact of shared cell-type-specific gene-by-environment (GxE) interactions between regulatory and disease architectures. Finally, we illustrated how GxE interactions might have led to ancestry-specific MCL1 expression in B cells, and ancestry-specific allele effect sizes in lymphocyte count GWAS for variants surrounding MCL1. Our results imply that large single-cell and GWAS datasets in diverse populations are required to improve our understanding on the effect of genetic variants on human diseases. |
format | Online Article Text |
id | pubmed-10615008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-106150082023-10-31 Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions Wang, Juehan Gazal, Steven medRxiv Article 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 N = 90K and 267K in EAS and EUR, respectively). We observed that ancDE genes tend to be cell-type-specific, to be enriched in genes interacting with the environment, and in variants with ancestry-specific disease effect sizes, suggesting the impact of shared cell-type-specific gene-by-environment (GxE) interactions between regulatory and disease architectures. Finally, we illustrated how GxE interactions might have led to ancestry-specific MCL1 expression in B cells, and ancestry-specific allele effect sizes in lymphocyte count GWAS for variants surrounding MCL1. Our results imply that large single-cell and GWAS datasets in diverse populations are required to improve our understanding on the effect of genetic variants on human diseases. Cold Spring Harbor Laboratory 2023-10-21 /pmc/articles/PMC10615008/ /pubmed/37905038 http://dx.doi.org/10.1101/2023.10.20.23297214 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Wang, Juehan Gazal, Steven Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions |
title | Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions |
title_full | Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions |
title_fullStr | Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions |
title_full_unstemmed | Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions |
title_short | Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions |
title_sort | ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615008/ https://www.ncbi.nlm.nih.gov/pubmed/37905038 http://dx.doi.org/10.1101/2023.10.20.23297214 |
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