Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

Background DNA methylation is a key epigenetic modification in human development and disease, yet there is limited understanding of its highly coordinated regulation. Here, we identify 818 genes that affect DNA methylation patterns in blood using large-scale population genomics data. Results By employing genetic instruments as causal anchors, we establish directed associations between gene expression and distant DNA methylation levels, while ensuring specificity of the associations by correcting for linkage disequilibrium and pleiotropy among neighboring genes. The identified genes are enriche... Mehr ...

Verfasser: Hop, Paul J.
Luijk, Rene
Daxinger, Lucia
van Iterson, Maarten
Dekkers, Koen F.
Jansen, Rick
van Meurs, Joyce B. J.
't Hoen, Peter A. C.
Ikram, M. Arfan
van Greevenbroek, Marleen M. J.
Boomsma, Dorret
Slagboom, P. Eline
Veldink, Jan H.
van Zwet, Erik W.
Heijmans, Bastiaan T.
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Reihe/Periodikum: Hop , P J , Luijk , R , Daxinger , L , van Iterson , M , Dekkers , K F , Jansen , R , van Meurs , J B J , 't Hoen , P A C , Ikram , M A , van Greevenbroek , M M J , Boomsma , D , Slagboom , P E , Veldink , J H , van Zwet , E W , Heijmans , B T & BIOS Consortium 2020 , ' Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference ' , Genome Biology , vol. 21 , no. 1 , 220 . https://doi.org/10.1186/s13059-020-02114-z
Schlagwörter: DNA methylation / Epigenetic regulation / Transcription factor / Chromatin / Genetic instrumental variable / Functional genomics / Pleiotropy / Causal inference / NETHERLANDS TWIN REGISTER / EMBRYONIC STEM-CELLS / TRANSCRIPTION FACTORS / INTEGRATIVE ANALYSIS / GENOTYPE DATA / SEQUENCE / ASSOCIATION / RECRUITMENT / FORMAT
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29603999
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://cris.maastrichtuniversity.nl/en/publications/88caa09a-90bd-447a-9362-3b56efd5fc37

Background DNA methylation is a key epigenetic modification in human development and disease, yet there is limited understanding of its highly coordinated regulation. Here, we identify 818 genes that affect DNA methylation patterns in blood using large-scale population genomics data. Results By employing genetic instruments as causal anchors, we establish directed associations between gene expression and distant DNA methylation levels, while ensuring specificity of the associations by correcting for linkage disequilibrium and pleiotropy among neighboring genes. The identified genes are enriched for transcription factors, of which many consistently increased or decreased DNA methylation levels at multiple CpG sites. In addition, we show that a substantial number of transcription factors affected DNA methylation at their experimentally determined binding sites. We also observe genes encoding proteins with heterogenous functions that have widespread effects on DNA methylation, e.g.,NFKBIE,CDCA7(L), andNLRC5, and for several examples, we suggest plausible mechanisms underlying their effect on DNA methylation. Conclusion We report hundreds of genes that affect DNA methylation and provide key insights in the principles underlying epigenetic regulation.