ReviewThe Indian journal of medical research2010
Genomic approaches to coronary artery disease.
Review in The Indian journal of medical research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association Between Paraoxonase 2 Ser311Cys Polymorphism and Coronary Heart Disease Risk: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2016Pooled it
- Meta-Analysis on the Correlation Between APOM rs805296 Polymorphism and Risk of Coronary Artery Disease.Medical science monitor : international medical journal of experimental and clinical research · 2016Pooled it
- The Association between Serum LDL Cholesterol and Genetic Variation in Chromosomal Locus 1p13.3 among Coronary Artery Disease Patients.BioMed research international · 2015Trial
- Prognostic value of normal and non-obstructive coronary artery disease based on CT angiography findings. A 12 month follow up study.Journal of cardiovascular and thoracic research · 2019Article
- Article
- Analysis of the mutations in exon 10 ofJournal of cardiovascular and thoracic research · 2018Article
- Identification of a single nucleotide polymorphism indicative of high risk in acute myocardial infarction.The Indian journal of medical research · 2017Article
- Telomere length as a potential biomarker of coronary artery disease.The Indian journal of medical research · 2017Review
- The rs2070895 (-250G/A) Single Nucleotide Polymorphism in Hepatic Lipase (HL) Gene and the Risk of Coronary Artery Disease in North Indian Population: A Case-Control Study.Journal of clinical and diagnostic research : JCDR · 2016Article
- Integrated systems approach identifies risk regulatory pathways and key regulators in coronary artery disease.Journal of molecular medicine (Berlin, Germany) · 2015Article
- Phenomics of Vascular Disease: The Systematic Approach to the Combination Therapy.Current vascular pharmacology · 2015Review
- Association of the ST3GAL4 rs11220462 polymorphism and serum lipid levels in the Mulao and Han populations.Lipids in health and disease · 2014Article
- Decreased activities of apolipoprotein m promoter are associated with the susceptibility to coronary artery diseases.International journal of medical sciences · 2014Article
- The new biology: a bridge to clinical cardiology.Hippokratia · 2012Article
- Article
- Genetics of coronary artery disease - a clinician's perspective.Indian heart journalReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronary artery disease (CAD) is a leading cause of death and disability worldwide. In addition to lifestyle and environmental factors which are major aetiologic determinants, there is considerable familial clustering of the disease indicating a genetic component in its causation. Although the total genetic contribution to CAD risk can be quantified, the determination of the size and number of contributing effects is impossible without identifying all CAD susceptibility genes. However, despite extensive studies, strong evidence of a molecular genetic association with coronary artery disease or myocardial infarction remains elusive. Genome wide association studies have been successful in identifying robust associations of single nucleotide polymorphisms (SNP) with CAD. Identifying the causal variant and dissecting pathways linking these variants to disease process is a major challenge. Technologies from whole genome sequencing, proteomics, transcriptomics and metabolomics are now available to extend analysis to a more complete range of potential susceptibility variants, and to support more explicit modelling of the joint effects of genes and environment. The availability of these high throughput technologies does not diminish the importance of rigorous phenotyping and appropriate study designs in all the endeavours to understand the aetiopathogenesis of CAD. Combining classical epidemiology with modern genomics will require collaborative efforts within the cardiovascular disease community at both bench and bedside and this will have the potential to expand our understanding of CAD and translate discoveries into clinically useful applications that will have a major impact on public health.
Indexed as
Identifiers
21150009PMC3028944What 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.