Co-occurring expression and methylation QTLs allow detection of common causal variants and shared biological mechanisms

被引:57
作者
Pierce, Brandon L. [1 ,2 ,3 ]
Tong, Lin [1 ]
Argos, Maria [4 ]
Demanelis, Kathryn [1 ]
Jasmine, Farzana [1 ]
Rakibuz-Zaman, Muhammad [5 ]
Sarwar, Golam [5 ]
Islam, Md. Tariqul [5 ]
Shahriar, Hasan [5 ]
Islam, Tariqul [5 ]
Rahman, Mahfuzar [5 ,6 ]
Yunus, Md. [7 ]
Kibriya, Muhammad G. [1 ]
Chen, Lin S. [1 ]
Ahsan, Habibul [1 ,2 ,3 ,8 ]
机构
[1] Univ Chicago, Dept Publ Hlth Sci, Chicago, IL 60637 USA
[2] Univ Chicago, Dept Human Genet, Chicago, IL 60637 USA
[3] Univ Chicago, Comprehens Canc Ctr, Chicago, IL 60637 USA
[4] Univ Illinois, Div Epidemiol & Biostat, Chicago, IL 60612 USA
[5] UChicago Res Bangladesh Mohakhali, Dhaka 1230, Bangladesh
[6] Res & Evaluat Div BRAC, Dhaka 1212, Bangladesh
[7] Int Ctr Diarrhoeal Dis Res, Dhaka 1000, Bangladesh
[8] Univ Chicago, Dept Med, 5841 S Maryland Ave, Chicago, IL 60637 USA
基金
美国国家卫生研究院;
关键词
REGULATORY VARIATION; GENETIC-VARIANTS; DNA METHYLATION; IDENTIFICATION; COLOCALIZATION; RNA;
D O I
10.1038/s41467-018-03209-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Inherited genetic variation affects local gene expression and DNA methylation in humans. Most expression quantitative trait loci (cis-eQTLs) occur at the same genomic location as a methylation QTL (cis-meQTL), suggesting a common causal variant and shared mechanism. Using DNA and RNA from peripheral blood of Bangladeshi individuals, here we use co-localization methods to identify eQTL-meQTL pairs likely to share a causal variant. We use partial correlation and mediation analyses to identify > 400 of these pairs showing evidence of a causal relationship between expression and methylation (i.e., shared mechanism) with many additional pairs we are underpowered to detect. These co-localized pairs are enriched for SNPs showing opposite associations with expression and methylation, although many SNPs affect multiple CpGs in opposite directions. This work demonstrates the pervasiveness of co-regulated expression and methylation in the human genome. Applying this approach to other types of molecular QTLs can enhance our understanding of regulatory mechanisms.
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页数:12
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