Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
International Federation of Red Cross and Red Crescent Societies Country Cluster Support Team, Beijing, China.
Sci Rep. 2019 Oct 21;9(1):15055. doi: 10.1038/s41598-019-51475-4.
DNA methylation-based biological age (DNAm age), as well as genome-wide average DNA methylation, have been reported to predict breast cancer risk. We aimed to investigate the associations between these DNA methylation-based risk factors and 18 conventional breast cancer risk factors for disease-free women. A sample of 479 individuals from the Australian Mammographic Density Twins and Sisters was used for discovery, a sample of 3354 individuals from the Melbourne Collaborative Cohort Study was used for replication, and meta-analyses pooling results from the two studies were conducted. DNAm age based on three epigenetic clocks (Hannum, Horvath and Levine) and genome-wide average DNA methylation were calculated using the HumanMethylation 450 K BeadChip assay data. The DNAm age measures were positively associated with body mass index (BMI), smoking, alcohol drinking and age at menarche (all nominal P < 0.05). Genome-wide average DNA methylation was negatively associated with smoking and number of live births, and positively associated with age at first live birth (all nominal P < 0.05). The association of DNAm age with BMI was also evident in within-twin-pair analyses that control for familial factors. This study suggests that some lifestyle and hormonal risk factors are associated with these DNA methylation-based breast cancer risk factors, and the observed associations are unlikely to be due to familial confounding but are likely causal. DNA methylation-based risk factors could interplay with conventional risk factors in modifying breast cancer risk.
基于 DNA 甲基化的生物年龄(DNAm 年龄)以及全基因组平均 DNA 甲基化已被报道可预测乳腺癌风险。我们旨在研究这些基于 DNA 甲基化的风险因素与无病女性的 18 种常规乳腺癌风险因素之间的关联。使用来自澳大利亚乳腺密度双胞胎和姐妹的 479 个人的样本进行发现,使用来自墨尔本协作队列研究的 3354 个人的样本进行复制,并对两项研究的结果进行荟萃分析。使用 HumanMethylation 450K BeadChip 检测数据计算了基于三个表观遗传钟(Hannum、Horvath 和 Levine)的 DNAm 年龄和全基因组平均 DNA 甲基化。DNAm 年龄与体重指数(BMI)、吸烟、饮酒和初潮年龄呈正相关(所有名义 P 值均 < 0.05)。全基因组平均 DNA 甲基化与吸烟和活产数呈负相关,与首次活产年龄呈正相关(所有名义 P 值均 < 0.05)。在控制家族因素的双胞胎内分析中,DNAm 年龄与 BMI 的关联也很明显。本研究表明,一些生活方式和激素风险因素与这些基于 DNA 甲基化的乳腺癌风险因素相关,观察到的关联不太可能是由于家族性混杂造成的,而更可能是因果关系。基于 DNA 甲基化的风险因素可能与常规风险因素相互作用,从而改变乳腺癌风险。