Methylation-Based Biological Age and Breast Cancer Risk.
Ontology highlight
ABSTRACT: Background
Age is one of the strongest predictors of cancer, chronic disease, and mortality, but biological responses to aging differ among people. Epigenetic DNA modifications have been used to estimate "biological age," which may be a useful predictor of disease risk. We tested this hypothesis for breast cancer.Methods
Using a case-cohort approach, we measured baseline blood DNA methylation of 2764 women enrolled in the Sister Study, 1566 of whom subsequently developed breast cancer after an average of 6 years. Using three previously established methylation-based "clocks" (Hannum, Horvath, and Levine), we defined biological age acceleration for each woman by comparing her estimated biological age with her chronological age. Hazard ratios and 95% confidence intervals for breast cancer risk were estimated using Cox regression models. All statistical tests were two-sided.Results
Each of the three clocks showed that biological age acceleration was statistically significantly associated with increased risk of developing breast cancer (5-year age acceleration, Hannum's clock: hazard ratio [HR] = 1.10, 95% confidence interval [CI] = 1.00 to 1.21, P?=?.04; Horvath's clock: HR = 1.08, 95% CI = 1.00 to 1.17, P?=?.04; Levine's clock: HR = 1.15, 95% CI = 1.07 to 1.23, P?ConclusionsDNA methylation-based measures of biological age may be important predictors of breast cancer risk.
SUBMITTER: Kresovich JK
PROVIDER: S-EPMC6792078 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Publications
Methylation-Based Biological Age and Breast Cancer Risk.
Kresovich Jacob K JK Xu Zongli Z O'Brien Katie M KM Weinberg Clarice R CR Sandler Dale P DP Taylor Jack A JA
Journal of the National Cancer Institute 20191001 10
<h4>Background</h4>Age is one of the strongest predictors of cancer, chronic disease, and mortality, but biological responses to aging differ among people. Epigenetic DNA modifications have been used to estimate "biological age," which may be a useful predictor of disease risk. We tested this hypothesis for breast cancer.<h4>Methods</h4>Using a case-cohort approach, we measured baseline blood DNA methylation of 2764 women enrolled in the Sister Study, 1566 of whom subsequently developed breast c ...[more]
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