Single-cell eQTL mapping identifies cell type-specific genetic control of autoimmune disease
The human immune system displays substantial variation between individuals, leading to differences in susceptibility to autoimmune disease. We present single-cell RNA sequencing (scRNA-seq) data from 1,267,758 peripheral blood mononuclear cells from 982 healthy human subjects. For 14 cell types, we...
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Published in: | Science (American Association for the Advancement of Science) Vol. 376; no. 6589; p. eabf3041 |
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Main Authors: | , , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
The American Association for the Advancement of Science
08-04-2022
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Subjects: | |
Online Access: | Get full text |
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Summary: | The human immune system displays substantial variation between individuals, leading to differences in susceptibility to autoimmune disease. We present single-cell RNA sequencing (scRNA-seq) data from 1,267,758 peripheral blood mononuclear cells from 982 healthy human subjects. For 14 cell types, we identified 26,597 independent cis-expression quantitative trait loci (eQTLs) and 990 trans-eQTLs, with most showing cell type-specific effects on gene expression. We subsequently show how eQTLs have dynamic allelic effects in B cells that are transitioning from naïve to memory states and demonstrate how commonly segregating alleles lead to interindividual variation in immune function. Finally, using a Mendelian randomization approach, we identify the causal route by which 305 risk loci contribute to autoimmune disease at the cellular level. This work brings together genetic epidemiology with scRNA-seq to uncover drivers of interindividual variation in the immune system. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0036-8075 1095-9203 |
DOI: | 10.1126/science.abf3041 |