ArticleArteriosclerosis, thrombosis, and vascular biology2013
A systems biology framework identifies molecular underpinnings of coronary heart disease.
Article in Arteriosclerosis, thrombosis, and vascular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
112 citing papers in PubMed, 3 syntheses or guidelines pooled it, 169 citations in OpenAlex.
- A whole-blood transcriptome meta-analysis identifies gene expression signatures of cigarette smoking.Human molecular genetics · 2016Pooled it
- Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease.PLoS genetics · 2014Pooled it
- Correlations of SELE genetic polymorphisms with risk of coronary heart disease and myocardial infarction: a meta-analysis.Molecular biology reports · 2014Pooled it
- Functional interactors of three genome-wide association study genes are differentially expressed in severe chronic obstructive pulmonary disease lung tissue.Scientific reports · 2017Trial
- Age-associated B cells predict coronary events in humans and aggravate murine atherosclerosis.Cardiovascular research · 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
- The role of immunoglobins in atherosclerosis development; friends or foe?Molecular and cellular biochemistry · 2025Review
- Serum BAFF level is associated with the presence and severity of coronary artery disease and acute myocardial infarction.BMC cardiovascular disorders · 2024Article
- Effects of belimumab on the lipid profile in systemic lupus erythematosus patients: an observational study.Clinical rheumatology · 2024Observational
- B cells and atherosclerosis: A HIV perspective.Journal of cellular physiology · 2024Review
- B-cells in pulmonary arterial hypertension: friend, foe or bystander?The European respiratory journal · 2024Review
- Serum immunoglobulin M is associated with the severity of coronary artery disease in adults.PeerJ · 2024Article
- Article
- Review
- RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance.Journal of molecular and cellular cardiology plus · 2023Article
- Cross-Platform Synaptic Network Analysis of Human Entorhinal Cortex Identifies TWF2 as a Modulator of Dendritic Spine Length.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Multi-omics-based analysis of high grade serous ovarian cancer subtypes reveals distinct molecular processes linked to patient prognosis.FEBS open bio · 2023Article
- Introducing Circulating Vasculature-Related Transcripts as Biomarkers in Coronary Artery Disease.Molecular diagnosis & therapy · 2023Article
- Association of Serum BAFF Levels with Cardiovascular Events in ST-Segment Elevation Myocardial Infarction.Journal of clinical medicine · 2023Article
- Blood transcriptomic biomarkers of alcohol consumption and cardiovascular disease risk factors: the Framingham Heart Study.Human molecular genetics · 2023Article
52 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors at 1 institution in 1 country.
Funding
Abstract
objectiveGenetic approaches have identified numerous loci associated with coronary heart disease (CHD). The molecular mechanisms underlying CHD gene-disease associations, however, remain unclear. We hypothesized that genetic variants with both strong and subtle effects drive gene subnetworks that in turn affect CHD. APPROACH AND
resultsWe surveyed CHD-associated molecular interactions by constructing coexpression networks using whole blood gene expression profiles from 188 CHD cases and 188 age- and sex-matched controls. Twenty-four coexpression modules were identified, including 1 case-specific and 1 control-specific differential module (DM). The DMs were enriched for genes involved in B-cell activation, immune response, and ion transport. By integrating the DMs with gene expression-associated single-nucleotide polymorphisms and with results of genome-wide association studies of CHD and its risk factors, the control-specific DM was implicated as CHD causal based on its significant enrichment for both CHD and lipid expression-associated single-nucleotide polymorphisms. This causal DM was further integrated with tissue-specific Bayesian networks and protein-protein interaction networks to identify regulatory key driver genes. Multitissue key drivers (SPIB and TNFRSF13C) and tissue-specific key drivers (eg, EBF1) were identified.
conclusionsOur network-driven integrative analysis not only identified CHD-related genes, but also defined network structure that sheds light on the molecular interactions of genes associated with CHD risk.
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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.