Nature GeneticsGenetic & Genomic MedicinePeer-reviewed journal article
Genomic and phenomic insights from an atlas of genetic effects on DNA methylation
Josine L. MiniD, Gibran HemaniiD, Eilis J. HannoniD, Koen F. DekkersiD, Juan Castillo FernandeziD, René Luijk, Elena Carnero‐MontoroiD, Daniel John LawsoniD, Kimberley BurrowsiD, Matthew J SudermaniD, Andrew D. BretherickiD, Tom G. RichardsoniD, Johanna KlughammeriD, Valentina IotchkovaiD, Gemma C. SharpiD, Ahmad Al KhleifatiD, Aleksey ShatunoviD, Alfredo IacoangeliiD, Wendy L. McArdleiD, Karen M. HoiD, Ashish KumariD, Cilla SöderhälliD, Carolina Soriano‐TárragaiD, Eva Giralt SteinhaueriD, Nabila KazmiiD, , Marinus H. van IJzendoorniD
Abstract
Characterizing genetic influences on DNA methylation (DNAm) provides an opportunity to understand mechanisms underpinning gene regulation and disease. Here we describe results of DNA methylation-quantitative trait loci (mQTL) analyses on 32,851 participants, identifying genetic variants associated with DNAm at 420,509 DNAm sites in blood. We present a database of >270,000 independent mQTL of which 8.5% comprise long-range (trans) associations. Identified mQTL associations explain 15-17% of the additive genetic variance of DNAm. We reveal that the genetic architecture of DNAm levels is highly polygenic and DNAm exhibits signatures of negative and positive natural selection. Using shared genetic control between distal DNAm sites we construct networks, identifying 405 discrete genomic communities enriched for genomic annotations and complex traits. Shared genetic factors are associated with both blood DNAm levels and complex diseases but in most cases these associations do not reflect causal relationships from DNAm to trait or vice versa indicating a more complex genotype-phenotype map than has previously been hypothesised.
- organism: human
- assay: DNA methylation
- research focus: eQTL / molecular QTL mapping
- approach: statistical model
- Citations
- 508
- FWCI
- 26.67
- Field percentile
- top 1%
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