[HTML][HTML] DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines
Genome biology, 2011•Springer
Background DNA methylation is an essential epigenetic mechanism involved in gene
regulation and disease, but little is known about the mechanisms underlying inter-individual
variation in methylation profiles. Here we measured methylation levels at 22,290 CpG
dinucleotides in lymphoblastoid cell lines from 77 HapMap Yoruba individuals, for which
genome-wide gene expression and genotype data were also available. Results Association
analyses of methylation levels with more than three million common single nucleotide …
regulation and disease, but little is known about the mechanisms underlying inter-individual
variation in methylation profiles. Here we measured methylation levels at 22,290 CpG
dinucleotides in lymphoblastoid cell lines from 77 HapMap Yoruba individuals, for which
genome-wide gene expression and genotype data were also available. Results Association
analyses of methylation levels with more than three million common single nucleotide …
Background
DNA methylation is an essential epigenetic mechanism involved in gene regulation and disease, but little is known about the mechanisms underlying inter-individual variation in methylation profiles. Here we measured methylation levels at 22,290 CpG dinucleotides in lymphoblastoid cell lines from 77 HapMap Yoruba individuals, for which genome-wide gene expression and genotype data were also available.
Results
Association analyses of methylation levels with more than three million common single nucleotide polymorphisms (SNPs) identified 180 CpG-sites in 173 genes that were associated with nearby SNPs (putatively in cis, usually within 5 kb) at a false discovery rate of 10%. The most intriguing trans signal was obtained for SNP rs10876043 in the disco-interacting protein 2 homolog B gene (DIP2B, previously postulated to play a role in DNA methylation), that had a genome-wide significant association with the first principal component of patterns of methylation; however, we found only modest signal of trans-acting associations overall. As expected, we found significant negative correlations between promoter methylation and gene expression levels measured by RNA-sequencing across genes. Finally, there was a significant overlap of SNPs that were associated with both methylation and gene expression levels.
Conclusions
Our results demonstrate a strong genetic component to inter-individual variation in DNA methylation profiles. Furthermore, there was an enrichment of SNPs that affect both methylation and gene expression, providing evidence for shared mechanisms in a fraction of genes.
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