ReviewMeta gene2016
Apolipoprotein C3 gene variants and the risk of coronary heart disease: A meta-analysis.
Review in Meta gene, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Genetic Polymorphisms and Genetic Risk Scores Contribute to the Risk of Coronary Artery Disease (CAD) in a North Indian Population.International journal of molecular sciences · 2024Article
- SNPs in apolipoproteins contribute to sex-dependent differences in blood lipids before and after a high-fat dietary challenge in healthy U.S. adults.BMC nutrition · 2022Article
- APOC3 genetic variation, serum triglycerides, and risk of coronary artery disease in Asian Indians, Europeans, and other ethnic groups.Lipids in health and disease · 2021Article
- Apolipoprotein C-III and cardiovascular diseases: when genetics meet molecular pathologies.Molecular biology reports · 2021Review
- Triglyceride-Rich Lipoproteins and Novel Targets for Anti-atherosclerotic Therapy.Korean circulation journal · 2018Review
- RNA Therapeutics in Cardiovascular Precision Medicine.Frontiers in physiology · 2018Review
- Hepatitis B virus inhibits the in vivo and in vitro synthesis and secretion of apolipoprotein C3.Lipids in health and disease · 2017Article
- Saturated Fat Consumption and Risk of Coronary Heart Disease and Ischemic Stroke: A Science Update.Annals of nutrition & metabolism · 2017Article
- Apolipoprotein C3 gene variants and the risk of coronary heart disease: A meta-analysis.Meta gene · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt has been reported that three common loci, SstI, C-482T, and T-455C, in the apolipoprotein C3 (APOC3) gene might be associated with an increased risk of coronary heart disease (CHD). Considering the inconsistent results and ethnicity variations, we performed a systematic meta-analysis to evaluate the association between three single nucleotide polymorphisms (SNPs) and the risk of CHD.
methodsWe searched HuGE Navigator and PubMed databases to screen for the related literature published before 25 September, 2015. Two independent reviewers extracted the data and assessed the study quality. A random-effect model was used to pool the effect size.
resultsA total of 29 studies met inclusion criteria. Nineteen studies, including 11,186 subjects relative to SstI, five studies comprising 3727 subjects relative to C-482T, and nine studies with 6753 subjects relative to T-455C were included in the final analysis. A significant increase in CHD risk was observed in the SstI polymorphism (S2 versus S1: odds ratio [OR] = 1.30, 95% confidence interval [CI] 1.10-1.55. There was also a significant increasing trend of CHD risk in the T-455C polymorphism (C versus T: OR = 1.28, 95% CI 1.16-1.41. However, no associations between C-482T and CHD risk were found in this meta-analysis.
conclusionsThe pooled evidence suggests that two SNPs (SstI and T-455C) are associated with an increased risk of CHD. However, because of the limited sample size and heterogeneity, further large-scale and well-designed studies are needed to validate our findings.
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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.