Title |
Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis
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Published in |
Clinical Epigenetics, August 2015
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DOI | 10.1186/s13148-015-0104-2 |
Pubmed ID | |
Authors |
Karin van Veldhoven, Silvia Polidoro, Laura Baglietto, Gianluca Severi, Carlotta Sacerdote, Salvatore Panico, Amalia Mattiello, Domenico Palli, Giovanna Masala, Vittorio Krogh, Claudia Agnoli, Rosario Tumino, Graziella Frasca, Kirsty Flower, Ed Curry, Nicholas Orr, Katarzyna Tomczyk, Michael E. Jones, Alan Ashworth, Anthony Swerdlow, Marc Chadeau-Hyam, Eiliv Lund, Montserrat Garcia-Closas, Torkjel M. Sandanger, James M. Flanagan, Paolo Vineis |
Abstract |
Interest in the potential of DNA methylation in peripheral blood as a biomarker of cancer risk is increasing. We aimed to assess whether epigenome-wide DNA methylation measured in peripheral blood samples obtained before onset of the disease is associated with increased risk of breast cancer. We report on three independent prospective nested case-control studies from the European Prospective Investigation into Cancer and Nutrition (EPIC-Italy; n = 162 matched case-control pairs), the Norwegian Women and Cancer study (NOWAC; n = 168 matched pairs), and the Breakthrough Generations Study (BGS; n = 548 matched pairs). We used the Illumina 450k array to measure methylation in the EPIC and NOWAC cohorts. Whole-genome bisulphite sequencing (WGBS) was performed on the BGS cohort using pooled DNA samples, combined to reach 50× coverage across ~16 million CpG sites in the genome including 450k array CpG sites. Mean β values over all probes were calculated as a measurement for epigenome-wide methylation. In EPIC, we found that high epigenome-wide methylation was associated with lower risk of breast cancer (odds ratio (OR) per 1 SD = 0.61, 95 % confidence interval (CI) 0.47-0.80; -0.2 % average difference in epigenome-wide methylation for cases and controls). Specifically, this was observed in gene bodies (OR = 0.51, 95 % CI 0.38-0.69) but not in gene promoters (OR = 0.92, 95 % CI 0.64-1.32). The association was not replicated in NOWAC (OR = 1.03 95 % CI 0.81-1.30). The reasons for heterogeneity across studies are unclear. However, data from the BGS cohort was consistent with epigenome-wide hypomethylation in breast cancer cases across the overlapping 450k probe sites (difference in average epigenome-wide methylation in case and control DNA pools = -0.2 %). We conclude that epigenome-wide hypomethylation of DNA from pre-diagnostic blood samples may be predictive of breast cancer risk and may thus be useful as a clinical biomarker. |
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United Kingdom | 4 | 19% |
United States | 2 | 10% |
Venezuela, Bolivarian Republic of | 1 | 5% |
Canada | 1 | 5% |
Kuwait | 1 | 5% |
Unknown | 12 | 57% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 11 | 52% |
Scientists | 8 | 38% |
Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Mexico | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 136 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 26 | 18% |
Student > Ph. D. Student | 22 | 15% |
Student > Master | 18 | 13% |
Student > Bachelor | 12 | 8% |
Other | 7 | 5% |
Other | 27 | 19% |
Unknown | 30 | 21% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 33 | 23% |
Biochemistry, Genetics and Molecular Biology | 31 | 22% |
Medicine and Dentistry | 25 | 18% |
Computer Science | 5 | 4% |
Economics, Econometrics and Finance | 3 | 2% |
Other | 12 | 8% |
Unknown | 33 | 23% |