DNA methylation QTL mapping across diverse human tissues provides molecular links between genetic variation and complex traits

Studies of DNA methylation (DNAm) in solid human tissues are relatively scarce; tissue-specific characterization of DNAm is needed to understand its role in gene regulation and its relevance to complex traits. We generated array-based DNAm profiles for 987 human samples from the Genotype-Tissue Expr...

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Published inNature genetics Vol. 55; no. 1; pp. 112 - 122
Main Authors Oliva, Meritxell, Demanelis, Kathryn, Lu, Yihao, Chernoff, Meytal, Jasmine, Farzana, Ahsan, Habibul, Kibriya, Muhammad G., Chen, Lin S., Pierce, Brandon L.
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.01.2023
Nature Publishing Group
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Summary:Studies of DNA methylation (DNAm) in solid human tissues are relatively scarce; tissue-specific characterization of DNAm is needed to understand its role in gene regulation and its relevance to complex traits. We generated array-based DNAm profiles for 987 human samples from the Genotype-Tissue Expression (GTEx) project, representing 9 tissue types and 424 subjects. We characterized methylome and transcriptome correlations (eQTMs), genetic regulation in cis (mQTLs and eQTLs) across tissues and e/mQTLs links to complex traits. We identified mQTLs for 286,152 CpG sites, many of which (>5%) show tissue specificity, and mQTL colocalizations with 2,254 distinct GWAS hits across 83 traits. For 91% of these loci, a candidate gene link was identified by integration of functional maps, including eQTMs, and/or eQTL colocalization, but only 33% of loci involved an eQTL and mQTL present in the same tissue type. With this DNAm-focused integrative analysis, we contribute to the understanding of molecular regulatory mechanisms in human tissues and their impact on complex traits. As part of the enhanced GTEx (eGTEx) project, 987 human samples from 9 tissue types and 424 donors are assayed using DNA methylation microarrays. Colocalization of GWAS variants, eQTLs and mQTLs shows diverse links between genetic variation, molecular phenotypes and complex traits.
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B.L.P. and M.O. conceived the study; M.O. conceived and led all analysis supervised by B.L.P. and L.S.C.; M.O. performed all bioinformatic analysis, granted K.D., M.C. and Y.L. contributions; M.O. led the writing and editing of the manuscript and supplement; B.L.P., L.S.C. and H.A. contributed to the editing of the manuscript and supplement; M.O., B.L.P. and L.S.C. coordinated analyses of all contributing authors; F.J. generated the DNAm data; M.G.K. supervised the generation of the DNAm data; K.D. processed and QC-ed the DNAm data; Y.L. and M.C. contributed to the mQTL functional characterization analysis. All authors read and approved the final manuscript.
Author contributions
ISSN:1061-4036
1546-1718
1546-1718
DOI:10.1038/s41588-022-01248-z