Genetic impacts on DNA methylation help elucidate regulatory genomic processes

Villicana, S.; Castillo-Fernandez, J.; Hannon, E.; Christiansen, C.; Tsai, P.-C.; Maddock, J.; Kuh, D.; Suderman, M.; Power, C.; Relton, C.; Ploubidis, G.; Wong, A.; Hardy, R.; Goodman, A.; Ong, K. K.; Bell, J. T.

doi:10.1101/2023.03.31.535045

bioRxiv · 10.1101/2023.03.31.535045

Genetic impacts on DNA methylation help elucidate regulatory genomic processes

Villicana, S.·Castillo-Fernandez, J.·Hannon, E.·Christiansen, C.·Tsai, P.-C.·Maddock, J.·Kuh, D.·Suderman, M.·Power, C.·Relton, C.·Ploubidis, G.·Wong, A.·Hardy, R.·Goodman, A.·Ong, K. K.·Bell, J. T.

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Abstract

Pinpointing genetic impacts on DNA methylation can improve our understanding of pathways that underlie gene regulation and disease risk. We report heritability and methylation quantitative trait locus (meQTL) analysis at 724,499 CpGs profiled with the Illumina Infinium MethylationEPIC array in 2,358 blood samples from three UK cohorts, with replication. Methylation levels at 34.2% of CpGs were affected by SNPs, and 98% of effects were cis-acting or within 1 Mbp of the tested CpG. Our results are consistent with meQTL analyses based on the former Illumina Infinium HumanMethylation450 array. Both meQTL SNPs and CpGs with meQTLs were overrepresented in enhancers, which have improved coverage on this platform compared to previous approaches. Co-localisation analyses across genetic effects on DNA methylation and 56 human traits identified 1,520 co-localisations across 1,325 unique CpGs and 34 phenotypes, including in disease-relevant genes, such ICOSLG (inflammatory bowel disease), and USP1 and DOCK7 (total cholesterol levels). Enrichment analysis of meQTLs and integration with expression QTLs gave insights into mechanisms underlying cis-meQTLs, for example through disruption of transcription factor binding sites for CTCF and SMC3, and trans-meQTLs, for example through regulating the expression of ACD and SENP7 which can modulate DNA methylation at distal sites. Our findings improve the characterisation of the mechanisms underlying DNA methylation variability and are informative for prioritisation of GWAS variants for functional follow-ups. A results database and viewer are available online.

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Villicana, S., Castillo-Fernandez, J., Hannon, E., Christiansen, C., Tsai, P.-C., Maddock, J., Kuh, D., Suderman, M., Power, C., Relton, C., Ploubidis, G., Wong, A., Hardy, R., Goodman, A., Ong, K. K., Bell, J. T.. 2023-04-01. Genetic impacts on DNA methylation help elucidate regulatory genomic processes. https://doi.org/10.1101/2023.03.31.535045

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