Whole blood transcriptional signatures of age and survival identified in Long Life Family and Integrative Longevity Omics Studies.

ABSTRACT:

Background

Age is one of the major risk factors for a wide range of diseases. Nevertheless, some individuals can better cope with these changes and become centenarians. We hypothesize that their blood transcriptome may provide insights into the mechanisms contributing to healthy aging, as well as enable the discovery of candidate therapeutic targets. The Long-Life Family Study (LLFS), which includes participants from families enriched with long-lived individuals, serves as a valuable dataset for achieving these objectives.

Methods

To identify transcripts associated with age, we analyzed the association between age at blood draw and 16,284 RNAseq-based blood transcriptomic data from 2,167 LLFS participants with ages ranging from 18 to 107. We used linear mixed-effect models c

SUBMITTER: Li M 

PROVIDER: S-EPMC12338699 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature