Establishing a genomic radiation-age association for space exploration supplements lung disease differentiation.

ABSTRACT:

Purpose

One possible way to quantify each individual's response or damage from ionizing radiation is to estimate their accelerated biological age following exposure. Since there is currently no definitive way to know if biological age estimations are accurate, we aim to establish a rad-age association using genomics as its foundation.

Methods

Two datasets were combined and used to empirically find the age cutoff between young and old patients. With age as both a categorical and continuous variable, two other datasets that included radiation exposure are used to test the interaction between radiation and age. The gene lists are oriented in preranked lists for both pathway and diseases analysis. Finally, these genes are used to evaluate another dataset on the clinical relevanc

SUBMITTER: Ruprecht NA 

PROVIDER: S-EPMC10213902 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature