Genetic determinants of co-accessible chromatin regions in activated T cells across humans

Over 90% of genetic variants associated with complex human traits map to non-coding regions, but little is understood about how they modulate gene regulation in health and disease. One possible mechanism is that genetic variants affect the activity of one or more cis-regulatory elements leading to g...

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Veröffentlicht in:Nature genetics 2018-08, Vol.50 (8), p.1140-1150
Hauptverfasser: Gate, Rachel E., Cheng, Christine S., Aiden, Aviva P., Siba, Atsede, Tabaka, Marcin, Lituiev, Dmytro, Machol, Ido, Gordon, M. Grace, Subramaniam, Meena, Shamim, Muhammad, Hougen, Kendrick L., Wortman, Ivo, Huang, Su-Chen, Durand, Neva C., Feng, Ting, De Jager, Philip L., Chang, Howard Y., Aiden, Erez Lieberman, Benoist, Christophe, Beer, Michael A., Ye, Chun J., Regev, Aviv
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Sprache:eng
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Zusammenfassung:Over 90% of genetic variants associated with complex human traits map to non-coding regions, but little is understood about how they modulate gene regulation in health and disease. One possible mechanism is that genetic variants affect the activity of one or more cis-regulatory elements leading to gene expression variation in specific cell types. To identify such cases, we analyzed ATAC-seq and RNA-seq profiles from stimulated primary CD4 + T cells in up to 105 healthy donors. We found that regions of accessible chromatin (ATAC-peaks) are co-accessible at kilobase and megabase resolution, consistent with the three-dimensional chromatin organization measured by in situ Hi-C in T cells. Fifteen percent of genetic variants located within ATAC-peaks affected the accessibility of the corresponding peak (local-ATAC-QTLs). Local-ATAC-QTLs have the largest effects on co-accessible peaks, are associated with gene expression and are enriched for autoimmune disease variants. Our results provide insights into how natural genetic variants modulate cis-regulatory elements, in isolation or in concert, to influence gene expression. Analysis of ATAC-seq and RNA-seq data from stimulated T cells identifies genetic variants that disrupt transcription factor binding sites within ATAC-seq peaks. ATAC quantitative trait loci (ATAC-QTLs) are enriched for autoimmune disease-associated variants.
ISSN:1061-4036
1546-1718
DOI:10.1038/s41588-018-0156-2