Lijiang Ma

The paper identifies 1,580 cell type-specific genes and non-coding RNAs associated with coronary artery disease by integrating genetic and epigenetic data from multiple cell types.

The paper identifies key driver genes affecting adipocyte function and body fat distribution using systems genetics and experimental validation.

The paper identifies genetic variants with discordant effects on type 2 diabetes and abdominal obesity and proposes potential mechanisms for these effects.

This study identifies FHL5 as a causal gene for vascular disease risk through eQTL colocalization and functional analyses, showing its role in vascular remodeling and calcification.

This study identifies 17 genetic risk loci for spontaneous coronary artery dissection (SCAD), including 12 new ones, and highlights genes related to artery integrity and coagulation.

The paper uses single-cell ATAC-seq to analyze coronary artery cells from CAD patients, identifying regulatory mechanisms and risk variants associated with disease.

The paper identifies eQTLs and sQTLs in human aortic SMCs that colocalize with CAD GWAS loci, highlighting splicing regulation as a mechanism for CAD risk.

A coronary artery disease GWAS of 181,522 cases among 1,165,690 participants yields 241 associations (54 new); an eight-predictor consensus nominates 185 candidate causal genes, 94 with ≥3 predictors.