ArticleJournal of the American Heart Association2020
Statistical and Functional Studies Identify Epistasis of Cardiovascular Risk Genomic Variants From Genome-Wide Association Studies.
Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
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.
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Who cites it
21 citing papers in PubMed, 36 citations in OpenAlex.
- Evaluating the Role ofDiagnostics (Basel, Switzerland) · 2026Article
- Article
- Interaction of genetic variants activates latent metabolic pathways in yeast.Nature communications · 2025Article
- Shared genetic architecture of posttraumatic stress disorder with cardiovascular imaging, risk, and diagnoses.Nature communications · 2025Article
- Epistasis regulates genetic control of cardiac hypertrophy.Nature cardiovascular research · 2025Article
- LncRNA-induced lysosomal localization of NHE1 promotes increased lysosomal pH in macrophages leading to atherosclerosis.The Journal of biological chemistry · 2025Article
- Epistasis in cardiac traits.Nature cardiovascular research · 2025Article
- Deciphering epistatic genetic regulation of cardiac hypertrophy.medRxiv : the preprint server for health sciences · 2025Article
- The roles and functions of TMEM protein family members in cancers, cardiovascular and kidney diseases (Review).Biomedical reports · 2025Review
- Genetics of posttraumatic stress disorder and cardiovascular conditions using Life's Essential 8, Electronic Health Records, and Heart Imaging.medRxiv : the preprint server for health sciences · 2024Article
- Article
- Impact of multimorbidity patterns on outcomes and treatment in patients with coronary artery disease.European heart journal open · 2024Article
- Putative protective genomic variation in the Lithuanian population.Genetics and molecular biology · 2024Article
- Epistasis regulates genetic control of cardiac hypertrophy.Research square · 2023Article
- The Role of a Lung Vascular Endothelium Enriched Gene TMEM100.Biomedicines · 2023Review
- Influence of variability in the cyclooxygenase pathway on cardiovascular outcomes of nephrosclerosis patients.Scientific reports · 2023Article
- Limited Effect of Y Chromosome Variation on Coronary Artery Disease and Mortality in UK Biobank-Brief Report.Arteriosclerosis, thrombosis, and vascular biology · 2022Article
- Systems biology in cardiovascular disease: a multiomics approach.Nature reviews. Cardiology · 2021Review
- Splice variants of lncRNA RNA ANRIL exert opposing effects on endothelial cell activities associated with coronary artery disease.RNA biology · 2020Article
- Genetic control of non-genetic inheritance in mammals: state-of-the-art and perspectives.Mammalian genome : official journal of the International Mammalian Genome Society · 2020Review
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
Abstract
Background Epistasis describes how gene-gene interactions affect phenotypes, and could have a profound impact on human diseases such as coronary artery disease (CAD). The goal of this study was to identify gene-gene interactions in CAD using an easily generalizable multi-stage approach. Methods and Results Our forward genetic approach consists of multiple steps that combine statistical and functional approaches, and analyze information from global gene expression profiling, functional interactions, and genetic interactions to robustly identify gene-gene interactions. Global gene expression profiling shows that knockdown of
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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.