Plasma proteomic signatures for type 2 diabetes mellitus and related traits in the UK Biobank cohort.

ABSTRACT:

Aims/hypothesis

The plasma proteome holds promise as a diagnostic and prognostic tool that can accurately reflect complex human traits and disease processes. We assessed the ability of plasma proteins to predict type 2 diabetes mellitus (T2DM) and related traits.

Methods

Clinical, genetic, and high-throughput proteomic data from three subcohorts of UK Biobank participants were analyzed for association with dual-energy x-ray absorptiometry (DXA) derived truncal fat (in the adiposity subcohort), estimated maximum oxygen consumption (VO₂max) (in the fitness subcohort), and incident T2DM (in the T2DM subcohort). We used least absolute shrinkage and selection operator (LASSO) regression to assess the relative ability of non-proteomic and proteomic variables to associat

SUBMITTER: Gupte TP 

PROVIDER: S-EPMC11419213 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature