SynthesisPLoS genetics2014
Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease.
Synthesis in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
124 citing papers in PubMed, 3 syntheses or guidelines pooled it, 205 citations in OpenAlex.
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- The association of functional polymorphisms in genes expressed in endothelial cells and smooth muscle cells with the myocardial infarction.Human genomics · 2019Pooled it
- Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease.Arteriosclerosis, thrombosis, and vascular biology · 2015Pooled it
- Genetic perspectives on the comorbidity of anxiety and mood disorders with cardiovascular disease.Nature cardiovascular research · 2026Review
- Systems genomics reveals age- and sex-dependent metabolic dysregulation fromPhysiological genomics · 2026Article
- Convergence and divergence of genes informed by common and rare variants of autism spectrum disorders in tissue-specific pathways and gene networks.Translational psychiatry · 2026Article
- Robust pleiotropy-decomposed polygenic scores identify distinct contributions to elevated coronary artery disease polygenic risk.PLoS computational biology · 2025Article
- Emerging Technologies and Future Directions in Interorgan Crosstalk Cardiometabolic Research.Circulation research · 2025Review
- Systems genetics analysis of human body fat distribution genes identifies adipocyte processes.Life science alliance · 2024Article
- Neutrophil peptidylarginine deiminase 4 plays a systemic role in obesity-induced chronic inflammation in mice.Journal of thrombosis and haemostasis : JTH · 2024Article
- Protein interaction networks in the vasculature prioritize genes and pathways underlying coronary artery disease.Communications biology · 2024Article
- Article
- Gene Regulatory Networks in Coronary Artery Disease.Current atherosclerosis reports · 2023Review
- Methylglyoxal in Cardiometabolic Disorders: Routes Leading to Pathology Counterbalanced by Treatment Strategies.Molecules (Basel, Switzerland) · 2023Review
- New advances in CRISPR/Cas-mediated precise gene-editing techniques.Disease models & mechanisms · 2023Review
- Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits.American journal of human genetics · 2023Article
- A review of causal discovery methods for molecular network analysis.Molecular genetics & genomic medicine · 2022Review
- Identification of the Transcription Factor ATF3 as a Direct and Indirect Regulator of the LDLR.Metabolites · 2022Article
- A role for artificial intelligence in molecular imaging of infection and inflammation.European journal of hybrid imaging · 2022Review
- Dicarbonyl Stress in Diabetic Vascular Disease.International journal of molecular sciences · 2022Review
64 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
32 authors at 20 institutions in 7 countries.
Funding
Abstract
The majority of the heritability of coronary artery disease (CAD) remains unexplained, despite recent successes of genome-wide association studies (GWAS) in identifying novel susceptibility loci. Integrating functional genomic data from a variety of sources with a large-scale meta-analysis of CAD GWAS may facilitate the identification of novel biological processes and genes involved in CAD, as well as clarify the causal relationships of established processes. Towards this end, we integrated 14 GWAS from the CARDIoGRAM Consortium and two additional GWAS from the Ottawa Heart Institute (25,491 cases and 66,819 controls) with 1) genetics of gene expression studies of CAD-relevant tissues in humans, 2) metabolic and signaling pathways from public databases, and 3) data-driven, tissue-specific gene networks from a multitude of human and mouse experiments. We not only detected CAD-associated gene networks of lipid metabolism, coagulation, immunity, and additional networks with no clear functional annotation, but also revealed key driver genes for each CAD network based on the topology of the gene regulatory networks. In particular, we found a gene network involved in antigen processing to be strongly associated with CAD. The key driver genes of this network included glyoxalase I (GLO1) and peptidylprolyl isomerase I (PPIL1), which we verified as regulatory by siRNA experiments in human aortic endothelial cells. Our results suggest genetic influences on a diverse set of both known and novel biological processes that contribute to CAD risk. The key driver genes for these networks highlight potential novel targets for further mechanistic studies and therapeutic interventions.
Indexed as
Identifiers
What OpenQuestion holds
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.