Estimating the causal effects of genetically predicted plasma proteome on heart failure.

ABSTRACT:

Background

Heart Failure (HF) is the end-stage cardiovascular syndrome with poor prognosis. Proteomics holds great promise in the discovery of novel biomarkers and therapeutic targets for HF. The aim of this study is to investigate the causal effects of genetically predicted plasma proteome on HF using the Mendelian randomization (MR) approach.

Methods

Summary-level data for the plasma proteome (3,301 healthy individuals) and HF (47,309 cases; 930,014 controls) were extracted from genome-wide association studies (GWASs) of European descent. MR associations were obtained using the inverse variance-weighted (IVW) method, sensitivity analyses, and multivariable MR analyses.

Results

Using single-nucleotide polymorphisms as instrumental variables, 1-SD increase in MET leve

SUBMITTER: Yang J 

PROVIDER: S-EPMC9968807 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature