Genetic association with autoimmune diseases identifies molecular mechanisms of coronary artery disease

Autoimmune patients have a significantly increased risk of developing coronary artery disease (CAD) compared to the general population. However, autoimmune patients often lack traditional risk factors for CAD and there is increasing recognition of inflammation in CAD development. In this study, we leveraged genome-wide association study (GWAS) data to understand whether there is a genetic relationship between CAD and autoimmunity. Statistical genetic comparison methods were used to identify correlated and causal SNPs between various autoimmune diseases and CAD. Pleiotropic SNPs were identified by cross-phenotype association analysis (CPASSOC) and overlap between GWAS. Causal SNPs were identified using Mendelian Randomization (MR) and Colocalization (COLOC). Using SNP-to-gene mapping, we additionally identified pleiotropic and causal genes and pathways associated between autoimmunity and CAD, which were contextualized by documentation of enrichment in individual cell types identified from coronary atherosclerotic plaques by single-cell RNA sequencing. These results provide insight into potential inflammatory therapeutic targets for CAD.

Authors

Institutions

Publication Details

Journal
iScience
Published
2024-08-13
DOI
https://doi.org/10.1016/j.isci.2024.110715
Citations
3
Primary Topic
Atherosclerosis and Cardiovascular Diseases
Type
article
Field-Weighted Citation Impact
0.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic association with autoimmune diseases identifies molecular mechanisms of coronary artery disease

Katherine A. Owen, Andrea Daamen, Peter E. Lipsky, Amrie C. Grammer et al.
3 citations
iScience
Atherosclerosis and Cardiovascular Diseases
0.72
article

Genetic association with autoimmune diseases identifies molecular mechanisms of coronary artery disease

Katherine A. Owen, Andrea Daamen, Peter E. Lipsky, Amrie C. Grammer, Jessica Kain, Sophia Kerns
article en
3 citations

Abstract

Autoimmune patients have a significantly increased risk of developing coronary artery disease (CAD) compared to the general population. However, autoimmune patients often lack traditional risk factors for CAD and there is increasing recognition of inflammation in CAD development. In this study, we leveraged genome-wide association study (GWAS) data to understand whether there is a genetic relationship between CAD and autoimmunity. Statistical genetic comparison methods were used to identify correlated and causal SNPs between various autoimmune diseases and CAD. Pleiotropic SNPs were identified by cross-phenotype association analysis (CPASSOC) and overlap between GWAS. Causal SNPs were identified using Mendelian Randomization (MR) and Colocalization (COLOC). Using SNP-to-gene mapping, we additionally identified pleiotropic and causal genes and pathways associated between autoimmunity and CAD, which were contextualized by documentation of enrichment in individual cell types identified from coronary atherosclerotic plaques by single-cell RNA sequencing. These results provide insight into potential inflammatory therapeutic targets for CAD.

iScienceVol. 27(9)
Ampel BioSolutions (United States) (US), Stanford University (US)
Good health and well-being
Openalex Percentile: Top 29%
Atherosclerosis and Cardiovascular Diseases
0.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Genetic association with autoimmune diseases identifies molecular mechanisms of coronary artery disease — Katherine A. Owen, Andrea Daamen, et al. · iScience (2024) | TGRS Research Map | TGRS