A network-based meta-analysis for characterizing the genetic landscape of human aging.

ABSTRACT: Great amounts of omics data are generated in aging research, but their diverse and partly complementary nature requires integrative analysis approaches for investigating aging processes and connections to age-related diseases. To establish a broader picture of the genetic and epigenetic landscape of human aging we performed a large-scale meta-analysis of 6600 human genes by combining 35 datasets that cover aging hallmarks, longevity, changes in DNA methylation and gene expression, and different age-related diseases. To identify biological relationships between aging-associated genes we incorporated them into a protein interaction network and characterized their network neighborhoods. In particular, we computed a comprehensive landscape of more than 1000 human aging clusters, network region

SUBMITTER: Blankenburg H 

PROVIDER: S-EPMC5765210 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature