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Leveraging DNA-Methylation Quantitative-Trait Loci to Characterize the Relationship between Methylomic Variation, Gene Expression, and Complex Traits

Hannon, Ellis and Gorrie-Stone, Tyler J and Smart, Melissa C and Burrage, Joe and Hughes, Amanda and Bao, Yanchun and Kumari, Meena and Schalkwyk, Leonard C and Mill, Jonathan (2018) 'Leveraging DNA-Methylation Quantitative-Trait Loci to Characterize the Relationship between Methylomic Variation, Gene Expression, and Complex Traits.' The American Journal of Human Genetics. ISSN 0002-9297

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Abstract

Characterizing the complex relationship between genetic, epigenetic, and transcriptomic variation has the potential to increase understanding about the mechanisms underpinning health and disease phenotypes. We undertook a comprehensive analysis of common genetic variation on DNA methylation (DNAm) by using the Illumina EPIC array to profile samples from the UK Household Longitudinal study. We identified 12,689,548 significant DNA methylation quantitative trait loci (mQTL) associations (p < 6.52 × 10−14) occurring between 2,907,234 genetic variants and 93,268 DNAm sites, including a large number not identified by previous DNAm-profiling methods. We demonstrate the utility of these data for interpreting the functional consequences of common genetic variation associated with > 60 human traits by using summary-data-based Mendelian randomization (SMR) to identify 1,662 pleiotropic associations between 36 complex traits and 1,246 DNAm sites. We also use SMR to characterize the relationship between DNAm and gene expression and thereby identify 6,798 pleiotropic associations between 5,420 DNAm sites and the transcription of 1,702 genes. Our mQTL database and SMR results are available via a searchable online database as a resource to the research community.

Item Type: Article
Uncontrolled Keywords: genome-wide association study, GWAS, DNA methylation, complex traits, quantitative-trait loci, QTL, summary-data-based Mendelian randomization, SMR, gene expression, single-nucleotide polymorphism, SNP, pleiotropy
Subjects: Q Science > QH Natural history > QH426 Genetics
Divisions: Faculty of Science and Health > Biological Sciences, School of
Faculty of Social Sciences > Institute for Social and Economic Research
Depositing User: Elements
Date Deposited: 29 Oct 2018 13:51
Last Modified: 29 Oct 2018 13:51
URI: http://repository.essex.ac.uk/id/eprint/23354

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