ArticleGenome medicine2009
Gene-gene and gene-environment interactions: new insights into the prevention, detection and management of coronary artery disease.
Article in Genome medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 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
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- Association between the PON1 Q192R polymorphism and coronary heart disease in Chinese: A meta-analysis.Medicine · 2018Pooled it
- Association of RAGE gene Gly82Ser polymorphism with coronary artery disease and ischemic stroke: A systematic review and meta-analysis.Medicine · 2016Pooled it
- A genetic factor associated with low final bone mineral density in children after a long-term glucocorticoids treatment.The pharmacogenomics journal · 2017Trial
- Intake levels of dietary long-chain PUFAs modify the association between genetic variation in FADS and LDL-C.Journal of lipid research · 2012Trial
- Discovering common and population-specific QTLs for leaf rust resistance in different Barley populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Review
- Evaluating the Role ofDiagnostics (Basel, Switzerland) · 2026Article
- Understanding and applying gene-environment interactions: a guide for nutrition professionals with an emphasis on integration in African research settings.Nutrition reviews · 2025Review
- Article
- Association of the polymorphisms of the cholesteryl ester transfer protein gene with coronary artery disease: a meta-analysis.Frontiers in cardiovascular medicine · 2023Review
- Association study between polymorphisms in MIA3, SELE, SMAD3 and CETP genes and coronary artery disease in an Iranian population.BMC cardiovascular disorders · 2022Article
- Androgen-dependent tissue factor pathway inhibitor regulating protein: a review of its peripheral actions and association with cardiometabolic diseases.Journal of molecular medicine (Berlin, Germany) · 2022Review
- Joint effects of paraoxonase 1 rs662 polymorphism and vitamins C/E intake on coronary artery disease severity (Gensini and SYNTAX scores) and lipid profile in patients undergoing coronary angiography.Frontiers in nutrition · 2022Article
- Genetic Markers for Coronary Artery Disease.Medicina (Kaunas, Lithuania) · 2018Review
- Associations betweenBioscience reports · 2018Article
- Polymorphism in ERCC1 confers susceptibility of coronary artery disease and severity of coronary artery atherosclerosis in a Chinese Han population.Scientific reports · 2017Article
- Article
- Article
- Associations of polymorphisms in TXNIP and gene-environment interactions with the risk of coronary artery disease in a Chinese Han population.Journal of cellular and molecular medicine · 2016Article
- Do little interactions get lost in dark random forests?BMC bioinformatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the recent success of genome-wide association studies (GWASs) in identifying loci consistently associated with coronary artery disease (CAD), a large proportion of the genetic components of CAD and its metabolic risk factors, including plasma lipids, type 2 diabetes and body mass index, remain unattributed. Gene-gene and gene-environment interactions might produce a meaningful improvement in quantification of the genetic determinants of CAD. Testing for gene-gene and gene-environment interactions is thus a new frontier for large-scale GWASs of CAD. There are several anecdotal examples of monogenic susceptibility to CAD in which the phenotype was worsened by an adverse environment. In addition, small-scale candidate gene association studies with functional hypotheses have identified gene-environment interactions. For future evaluation of gene-gene and gene-environment interactions to achieve the same success as the single gene associations reported in recent GWASs, it will be important to pre-specify agreed standards of study design and statistical power, environmental exposure measurement, phenomic characterization and analytical strategies. Here we discuss these issues, particularly in relation to the investigation and potential clinical utility of gene-gene and gene-environment interactions in CAD.
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.