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

Hop, P.J.; Luijk, R.; Daxinger, L.; Iterson, M. van; Dekkers, K.F.; Jansen, R.; Meurs, J.B.J. van; Hoen, P.A.C. 't; Ikram, M.A.; Greevenbroek, M.M.J. van; Boomsma, D.I.; Slagboom, P.E.; Veldink, J.H.; Zwet, E.W. van; Heijmans, B.T.; BIOS Consortium

doi:doi:10.1186/s13059-020-02114-z

Persistent URL of this record https://hdl.handle.net/1887/3182197

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Medicine / Leiden University Medical Centre (LUMC)

Hop, P.J.; Luijk, R.; Daxinger, L.; Iterson, M. van; Dekkers, K.F.; Jansen, R.; ... ; BIOS Consortium (2020)

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

Article / Letter to editor

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....Show moreBackground 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.Show less

DNA methylation

Epigenetic regulation

Transcription factor

Chromatin

Genetic instrumental variable

Functional genomics

Pleiotropy

Causal inference