Exploring the bidirectional relationships between MRI resting-state functional connectivity networks and cardiovascular diseases: a Mendelian randomization study.

ABSTRACT:

Objective

Brain functional connectivity alterations have been observed in cardiovascular diseases (CVDs), but the causality between brain resting-state functional connectivity networks and CVDs remains undetermined. We aimed to investigate the bidirectional causality between brain network connectivity and CVDs using Mendelian randomization (MR) analysis.

Methods

Using genome-wide association study (GWAS) data from the UK Biobank (n = 34,691), we conducted bidirectional two-sample MR analyses between 191 resting-state functional MRI phenotypes and four major CVDs: hypertension, atrial fibrillation (AF), heart failure (HF), and coronary artery disease (CAD). Sensitivity analyses, including MR-Egger regression and weighted median methods, were conducted to ensure the robustness

SUBMITTER: Yang S 

PROVIDER: S-EPMC12717317 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature