ArticleCirculation. Genomic and precision medicine2022
Integrative Prioritization of Causal Genes for Coronary Artery Disease.
Article in Circulation. Genomic and precision medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.
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Who cites it
27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification.Nature genetics · 2023Pooled it
- FHL5 Controls Vascular Disease-Associated Gene Programs in Smooth Muscle Cells.Circulation research · 2023Pooled it
- Vascular smooth muscle cell state trajectories mediate molecular mechanisms of coronary disease risk.Nature communications · 2026Article
- Cell type-specific epigenetic regulatory circuitry of coronary artery disease loci.Nature communications · 2026Article
- Endothelial to mesenchymal transition in cardiovascular diseases: molecular insights and clinical perspectives.European heart journal · 2026Review
- Multi-omic analysis of human PHACTR1 signaling networks.Communications biology · 2026Article
- LIPA, a risk locus for coronary artery disease: decoding the variant-to-function relationship.European heart journal · 2025Article
- A macrophage gene-regulatory network linked to clinical severity of coronary artery disease : The STARNET and NGS-PREDICT primary blood macrophage studies.Basic research in cardiology · 2025Article
- Single-cell transcriptome-wide Mendelian randomization and colocalization analyses uncover cell-specific mechanisms in atherosclerotic cardiovascular disease.American journal of human genetics · 2025Article
- Integrative analysis of single-cell transcriptomics and genetic associations identify cell states associated with vascular disease.Atherosclerosis · 2025Article
- Efficacy of Diagnostic Testing of Suspected Coronary Artery Disease: A Contemporary Review.Cardiology · 2025Review
- Prediction of causal genes at GWAS loci with pleiotropic gene regulatory effects using sets of correlated instrumental variables.PLoS genetics · 2024Article
- PHACTR1 and APOC1 genetic variants are associated with multi-vessel coronary artery disease.Lipids in health and disease · 2024Article
- Global genomic profile of hippocampal endothelial cells by single-nuclei RNA sequencing in female diabetic mice is associated with cognitive dysfunction.American journal of physiology. Heart and circulatory physiology · 2024Article
- Article
- Integrative gene regulatory network analysis discloses key driver genes of fibromuscular dysplasia.Nature cardiovascular research · 2024Article
- Article
- A robust cis-Mendelian randomization method with application to drug target discovery.Nature communications · 2024Article
- Article
- Omics Approaches Unveiling the Biology of Human Atherosclerotic Plaques.The American journal of pathology · 2024Review
Corrections and comments
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Authors and funding
19 authors at 10 institutions in 7 countries.
Funding
Abstract
backgroundHundreds of candidate genes have been associated with coronary artery disease (CAD) through genome-wide association studies. However, a systematic way to understand the causal mechanism(s) of these genes, and a means to prioritize them for further study, has been lacking. This represents a major roadblock for developing novel disease- and gene-specific therapies for patients with CAD. Recently, powerful integrative genomics analyses pipelines have emerged to identify and prioritize candidate causal genes by integrating tissue/cell-specific gene expression data with genome-wide association study data sets.
methodsWe aimed to develop a comprehensive integrative genomics analyses pipeline for CAD and to provide a prioritized list of causal CAD genes. To this end, we leveraged several complimentary informatics approaches to integrate summary statistics from CAD genome-wide association studies (from UK Biobank and CARDIoGRAMplusC4D) with transcriptomic and expression quantitative trait loci data from 9 cardiometabolic tissue/cell types in the STARNET study (Stockholm-Tartu Atherosclerosis Reverse Network Engineering Task).
resultsWe identified 162 unique candidate causal CAD genes, which exerted their effect from between one and up to 7 disease-relevant tissues/cell types, including the arterial wall, blood, liver, skeletal muscle, adipose, foam cells, and macrophages. When their causal effect was ranked, the top candidate causal CAD genes were
conclusionsWe identified and prioritized candidate causal CAD genes, also localizing their tissue(s) of causal effect. These results should serve as a resource and facilitate targeted studies to identify the functional impact of top causal CAD genes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.