Prioritizing autoimmunity risk variants for functional analyses by fine-mapping mutations under natural selection

Pathogen-driven selection shaped adaptive mutations in immunity genes, including those contributing to inflammatory disorders. Functional characterization of such adaptive variants can shed light on disease biology and past adaptations. This popular idea, however, was difficult to test due to challe...

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Published inNature communications Vol. 13; no. 1; p. 7069
Main Authors Pankratov, Vasili, Yunusbaeva, Milyausha, Ryakhovsky, Sergei, Zarodniuk, Maksym, Yunusbayev, Bayazit
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 18.11.2022
Nature Publishing Group
Nature Portfolio
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Summary:Pathogen-driven selection shaped adaptive mutations in immunity genes, including those contributing to inflammatory disorders. Functional characterization of such adaptive variants can shed light on disease biology and past adaptations. This popular idea, however, was difficult to test due to challenges in pinpointing adaptive mutations in selection footprints. In this study, using a local-tree-based approach, we show that 28% of risk loci (153/535) in 21 inflammatory disorders bear footprints of moderate and weak selection, and part of them are population specific. Weak selection footprints allow partial fine-mapping, and we show that in 19% (29/153) of the risk loci under selection, candidate disease variants are hitchhikers, and only in 39% of cases they are likely selection targets. We predict function for a subset of these selected SNPs and highlight examples of antagonistic pleiotropy. We conclude by offering disease variants under selection that can be tested functionally using infectious agents and other stressors to decipher the poorly understood link between environmental stressors and genetic risk in inflammatory conditions. Immune genes under selection can shed light on phenotypes contributing to survival and modern inflammatory conditions. Here, the authors prioritize adaptive disease variants in 535 risk loci for 21 inflammatory conditions and report promising SNPs for functional studies with predictions of cell context and function.
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ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-022-34461-9