ArticlePloS one2013
Genome-wide association study of gene by smoking interactions in coronary artery calcification.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 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.
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
28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.
- Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification.Nature genetics · 2023Pooled it
- Twenty-Five Novel Loci for Carotid Intima-Media Thickness: A Genome-Wide Association Study in >45 000 Individuals and Meta-Analysis of >100 000 Individuals.Arteriosclerosis, thrombosis, and vascular biology · 2022Pooled it
- GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.Nature communications · 2018Pooled it
- Plasma proteomic analysis of stable coronary artery disease indicates impairment of reverse cholesterol pathway.Scientific reports · 2016Trial
- Genome-Wide Association Studies of Myocardial Infarction: A Systematic Literature Review.Journal of cardiovascular development and disease · 2026Review
- WWOX and metabolic regulation in normal and pathological conditions.Journal of molecular medicine (Berlin, Germany) · 2022Review
- Identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing.Human genomics · 2022Article
- Clinical Aspects of Genetic and Non-Genetic Cardiovascular Risk Factors in Familial Hypercholesterolemia.Genes · 2022Review
- Article
- Molecular Biology of theCells · 2021Review
- Association of common gene-smoking interactions with elevated plasma apolipoprotein B concentration.Lipids in health and disease · 2020Article
- CaJournal of clinical medicine · 2019Review
- The pleiotropic effect of rs7903146 on type 2 diabetes and ischemic stroke: a family-based study in a Chinese population.Journal of thrombosis and thrombolysis · 2019Article
- Cardiovascular calcification: artificial intelligence and big data accelerate mechanistic discovery.Nature reviews. Cardiology · 2019Review
- Genome-wide by environment interaction studies of depressive symptoms and psychosocial stress in UK Biobank and Generation Scotland.Translational psychiatry · 2019Article
- Novel and Known Gene-Smoking Interactions With cIMT Identified as Potential Drivers for Atherosclerosis Risk in West-African Populations of the AWI-Gen Study.Frontiers in genetics · 2019Article
- ADAMTS proteins in human disorders.Matrix biology : journal of the International Society for Matrix Biology · 2018Review
- Senescent Microvesicles: A Novel Advance in Molecular Mechanisms of Atherosclerotic Calcification.International journal of molecular sciences · 2018Review
- Genotype-driven identification of a molecular network predictive of advanced coronary calcium in ClinSeq® and Framingham Heart Study cohorts.BMC systems biology · 2017Article
- Genetic variants inExperimental and therapeutic medicine · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Many GWAS have identified novel loci associated with common diseases, but have focused only on main effects of individual genetic variants rather than interactions with environmental factors (GxE). Identification of GxE interactions is particularly important for coronary heart disease (CHD), a major preventable source of morbidity and mortality with strong non-genetic risk factors. Atherosclerosis is the major cause of CHD, and coronary artery calcification (CAC) is directly correlated with quantity of coronary atherosclerotic plaque. In the current study, we tested for genetic variants influencing extent of CAC via interaction with smoking (GxS), by conducting a GxS discovery GWAS in Genetic Epidemiology Network of Arteriopathy (GENOA) sibships (N = 915 European Americans) followed by replication in Framingham Heart Study (FHS) sibships (N = 1025 European Americans). Generalized estimating equations accounted for the correlation within sibships in strata-specific groups of smokers and nonsmokers, as well as GxS interaction. Primary analysis found SNPs that showed suggestive associations (p≤10(-5)) in GENOA GWAS, but these index SNPs did not replicate in FHS. However, secondary analysis was able to replicate candidate gene regions in FHS using other SNPs (+/-250 kb of GENOA index SNP). In smoker and nonsmoker groups, replicated genes included TCF7L2 (p = 6.0×10(-5)) and WWOX (p = 4.5×10(-6)); and TNFRSF8 (p = 7.8×10(-5)), respectively. For GxS interactions, replicated genes included TBC1D4 (p = 6.9×10(-5)) and ADAMTS9 (P = 7.1×10(-5)). Interestingly, these genes are involved in inflammatory pathways mediated by the NF-κB axis. Since smoking is known to induce chronic and systemic inflammation, association of these genes likely reflects roles in CAC development via inflammatory pathways. Furthermore, the NF-κB axis regulates bone remodeling, a key physiological process in CAC development. In conclusion, GxS GWAS has yielded evidence for novel loci that are associated with CAC via interaction with smoking, providing promising new targets for future population-based and functional studies of CAC development.
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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.