DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines

被引:635
作者
Bell, Jordana T. [1 ,3 ]
Pai, Athma A. [1 ]
Pickrell, Joseph K. [1 ]
Gaffney, Daniel J. [1 ,2 ]
Pique-Regi, Roger [1 ]
Degner, Jacob F. [1 ]
Gilad, Yoav [1 ]
Pritchard, Jonathan K. [1 ,2 ]
机构
[1] Univ Chicago, Dept Human Genet, Chicago, IL 60637 USA
[2] Univ Chicago, Howard Hughes Med Inst, Chicago, IL 60637 USA
[3] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford OX3 7BN, England
基金
美国国家卫生研究院;
关键词
TRANSCRIPTION FACTOR-BINDING; HUMAN-LYMPHOCYTES; HUMAN GENOME; CPG ISLANDS; SEQUENCE; HYPERMETHYLATION; CANCER; HUMANS; POPULATION; SIGNATURES;
D O I
10.1186/gb-2011-12-1-r10
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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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页数:13
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