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Dataset Information

DNA Methylation-derived biological age and long-term mortality risk in subjects with type 2 diabetes.


ABSTRACT:

Background

Individuals with type 2 diabetes (T2D) face an increased mortality risk, not fully captured by canonical risk factors. Biological age estimation through DNA methylation (DNAm), i.e. the epigenetic clocks, is emerging as a possible tool to improve risk stratification for multiple outcomes. However, whether these tools predict mortality independently of canonical risk factors in subjects with T2D is unknown.

Methods

Among a cohort of 568 T2D patients followed for 16.8 years, we selected a subgroup of 50 subjects, 27 survived and 23 deceased at present, passing the quality check and balanced for all risk factors after propensity score matching. We analyzed DNAm from peripheral blood leukocytes using the Infinium Human MethylationEPIC BeadChip (Illumina) to evaluate b

SUBMITTER: Sabbatinelli J 

PROVIDER: S-EPMC11245869 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature