Genomic modulators of gene expression in human neutrophils

Neutrophils form the most abundant leukocyte subset and are central to many disease processes. Technical challenges in transcriptomic profiling have prohibited genomic approaches to date. Here we map expression quantitative trait loci (eQTL) in peripheral blood CD16+ neutrophils from 101 healthy Eur...

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Veröffentlicht in:Nature communications 2015-07, Vol.6 (1), p.7545-7545, Article 7545
Hauptverfasser: Naranbhai, Vivek, Fairfax, Benjamin P., Makino, Seiko, Humburg, Peter, Wong, Daniel, Ng, Esther, Hill, Adrian V. S., Knight, Julian C.
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Sprache:eng
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Zusammenfassung:Neutrophils form the most abundant leukocyte subset and are central to many disease processes. Technical challenges in transcriptomic profiling have prohibited genomic approaches to date. Here we map expression quantitative trait loci (eQTL) in peripheral blood CD16+ neutrophils from 101 healthy European adults. We identify cis -eQTL for 3281 neutrophil-expressed genes including many implicated in neutrophil function, with 450 of these not previously observed in myeloid or lymphoid cells. Paired comparison with monocyte eQTL demonstrates nuanced conditioning of genetic regulation of gene expression by cellular context, which relates to cell-type-specific DNA methylation and histone modifications. Neutrophil eQTL are markedly enriched for trait-associated variants particularly autoimmune, allergy and infectious disease. We further demonstrate how eQTL in PADI4 and NOD2 delineate risk variant function in rheumatoid arthritis, leprosy and Crohn’s disease. Taken together, these data help advance understanding of the genetics of gene expression, neutrophil biology and immune-related diseases. Neutrophils are the most abundant subset of leukocyte and central to many diseases. Here by mapping expression quantitative trait loci (eQTL) in the context of epigenetic marks in neutrophils and monocytes of 101 healthy European adults, the authors provide a resource to advance understanding of immune-related trait-associated genetic variants.
ISSN:2041-1723
2041-1723
DOI:10.1038/ncomms8545