Project description:We generated DNA methylation profiles of 500 diverse individuals to enable to construction and validation of DNA methylation biomarkers of aging.
Project description:The Mammalian Methylation Consortium aimed to characterize the relationship between cytosine methylation levels and a) species characteristics such as maximum lifespan and b) individual sample characteristics such as age, sex, tissue type. Both supervised machine learning approaches and unsupervised machine learning approaches were applied to the data as described in the citations. To facilitate comparative analyses across species, the mammalian methylation consortium applied a single measurement platform (the mammalian methylation array, GPL28271) to n=15216 DNA samples derived from 70 tissue types of 348 different mammalian species (331 eutherian-, 15 marsupial-, and 2 monotreme species). Most of the CpGs are located in highly conserved stretches of DNA but not all CpGs apply to all species as detailed in the description of the platform, GPL28271 and on https://github.com/shorvath/MammalianMethylationConsortium/.
Project description:Peripheral blood samples were obtained at baseline and at follow-up visit from 20 participants in the Health, Aging and Body Composition prospective cohort study. Genome-wide CpG methylation was assayed using the Illumina Infinium Human MethylationEPIC (HM850K) microarray. We explored longitudinal changes in CpG methylation from blood leukocytes, and likelihood of a future cancer diagnosis.
Project description:Interventions: Gold Standard:colonoscopy;Index test:Stool DNA methylation biomarkers.
Primary outcome(s): accuracy
Study Design: Diagnostic test for accuracy