Title |
Characterizing the genetic basis of methylome diversity in histologically normal human lung tissue
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Published in |
Nature Communications, February 2014
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DOI | 10.1038/ncomms4365 |
Pubmed ID | |
Authors |
Jianxin Shi, Crystal N. Marconett, Jubao Duan, Paula L. Hyland, Peng Li, Zhaoming Wang, William Wheeler, Beiyun Zhou, Mihaela Campan, Diane S. Lee, Jing Huang, Weiyin Zhou, Tim Triche, Laufey Amundadottir, Andrew Warner, Amy Hutchinson, Po-Han Chen, Brian S. I. Chung, Angela C. Pesatori, Dario Consonni, Pier Alberto Bertazzi, Andrew W. Bergen, Mathew Freedman, Kimberly D. Siegmund, Benjamin P. Berman, Zea Borok, Nilanjan Chatterjee, Margaret A. Tucker, Neil E. Caporaso, Stephen J. Chanock, Ite A. Laird-Offringa, Maria Teresa Landi |
Abstract |
The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304 cis- and 585 trans-meQTLs, a genetic-epigenetic interaction of surprising magnitude, including a regulatory hotspot. These findings are replicated in both breast and kidney tissues and show distinct patterns: cis-meQTLs mostly localize to CpG sites outside of genes, promoters and CpG islands (CGIs), while trans-meQTLs are over-represented in promoter CGIs. meQTL SNPs are enriched in CTCF-binding sites, DNaseI hypersensitivity regions and histone marks. Importantly, four of the five established lung cancer risk loci in European ancestry are cis-meQTLs and, in aggregate, cis-meQTLs are enriched for lung cancer risk in a genome-wide analysis of 11,587 subjects. Thus, inherited genetic variation may affect lung carcinogenesis by regulating the human methylome. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 60% |
United Kingdom | 1 | 20% |
Australia | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Scientists | 4 | 80% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 1% |
United States | 2 | 1% |
Netherlands | 1 | <1% |
Germany | 1 | <1% |
Unknown | 142 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 39 | 26% |
Student > Ph. D. Student | 33 | 22% |
Student > Bachelor | 11 | 7% |
Student > Doctoral Student | 8 | 5% |
Student > Postgraduate | 8 | 5% |
Other | 25 | 17% |
Unknown | 24 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 41 | 28% |
Agricultural and Biological Sciences | 39 | 26% |
Medicine and Dentistry | 18 | 12% |
Computer Science | 6 | 4% |
Mathematics | 4 | 3% |
Other | 11 | 7% |
Unknown | 29 | 20% |