Association of CNVs with methylation variation.

Xinghua Shi
Saranya Radhakrishnan
Jia Wen
Jin Yun Chen
Junjie Chen
Brianna Ashlyn Lam
Ryan E Mills
Barbara E Stranger
Charles Lee
Sunita R Setlur

We acknowledge Dr. Job Dekker on his advice on the Hi-C analysis, Dr. Towfique Raj for advice on QTL analysis, Sudeep Setlur with the ENCODE analysis, and Drs. Stephen Samson, Silvia Liu, and Qihui Zhu for their helpful review of the manuscript.

This article is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Germline copy number variants (CNVs) and single-nucleotide polymorphisms (SNPs) form the basis of inter-individual genetic variation. Although the phenotypic effects of SNPs have been extensively investigated, the effects of CNVs is relatively less understood. To better characterize mechanisms by which CNVs affect cellular phenotype, we tested their association with variable CpG methylation in a genome-wide manner. Using paired CNV and methylation data from the 1000 genomes and HapMap projects, we identified genome-wide associations by methylation quantitative trait locus (mQTL) analysis. We found individual CNVs being associated with methylation of multiple CpGs and vice versa. CNV-associated methylation changes were correlated with gene expression. CNV-mQTLs were enriched for regulatory regions, transcription factor-binding sites (TFBSs), and were involved in long-range physical interactions with associated CpGs. Some CNV-mQTLs were associated with methylation of imprinted genes. Several CNV-mQTLs and/or associated genes were among those previously reported by genome-wide association studies (GWASs). We demonstrate that germline CNVs in the genome are associated with CpG methylation. Our findings suggest that structural variation together with methylation may affect cellular phenotype.