Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Int J Cancer. 2019 Oct 1;145(7):1768-1773. doi: 10.1002/ijc.32171. Epub 2019 Feb 12.
Age- and body mass index (BMI)-adjusted mammographic density is one of the strongest breast cancer risk factors. DNA methylation is a molecular mechanism that could underlie inter-individual variation in mammographic density. We aimed to investigate the association between breast cancer risk-predicting mammographic density measures and blood DNA methylation. For 436 women from the Australian Mammographic Density Twins and Sisters Study and 591 women from the Melbourne Collaborative Cohort Study, mammographic density (dense area, nondense area and percentage dense area) defined by the conventional brightness threshold was measured using the CUMULUS software, and peripheral blood DNA methylation was measured using the HumanMethylation450 (HM450) BeadChip assay. Associations between DNA methylation at >400,000 sites and mammographic density measures adjusted for age and BMI were assessed within each cohort and pooled using fixed-effect meta-analysis. Associations with methylation at genetic loci known to be associated with mammographic density were also examined. We found no genome-wide significant (p < 10 ) association for any mammographic density measure from the meta-analysis, or from the cohort-specific analyses. None of the 299 methylation sites located at genetic loci associated with mammographic density was associated with any mammographic density measure after adjusting for multiple testing (all p > 0.05/299 = 1.7 × 10 ). In summary, our study did not find evidence for associations between blood DNA methylation, as measured by the HM450 assay, and conventional mammographic density measures that predict breast cancer risk.
年龄和体重指数(BMI)调整后的乳腺密度是最强的乳腺癌风险因素之一。DNA 甲基化是一种分子机制,可能是乳腺密度个体间差异的基础。我们旨在研究预测乳腺癌风险的乳腺密度测量值与血液 DNA 甲基化之间的关联。对于来自澳大利亚乳腺密度双胞胎和姐妹研究的 436 名女性和来自墨尔本合作队列研究的 591 名女性,使用 CUMULUS 软件测量乳腺密度(致密区、非致密区和百分比致密区),通过 HumanMethylation450(HM450)BeadChip 分析测量外周血 DNA 甲基化。在每个队列中评估了超过 400,000 个位点的 DNA 甲基化与年龄和 BMI 调整后的乳腺密度测量值之间的关联,并使用固定效应荟萃分析进行了汇总。还检查了与已知与乳腺密度相关的遗传基因座上的甲基化的关联。我们没有发现任何全基因组显著(p < 10 )与荟萃分析或特定队列分析中的任何乳腺密度测量值相关的关联。在调整多重检验后(所有 p > 0.05/299 = 1.7 × 10 ),位于与乳腺密度相关的遗传基因座的 299 个甲基化位点中没有一个与任何乳腺密度测量值相关。总之,我们的研究没有发现血液 DNA 甲基化(通过 HM450 测定)与预测乳腺癌风险的常规乳腺密度测量值之间存在关联的证据。