ReviewCirculation research2011
Strategic approaches to unraveling genetic causes of cardiovascular diseases.
Review in Circulation research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Recommendations from the international stroke genetics consortium, part 1: standardized phenotypic data collection.Stroke · 2015Guideline
- Pooled it
- Hydration as a governing state variable in the mechanical and electrical response of decellularized extracellular matrix materials.Journal of materials science. Materials in medicine · 2026Article
- Hypertrophic Cardiomyopathy is a Disease of Sarcomere Proteins.Methodist DeBakey cardiovascular journal · 2026Review
- Article
- Article
- Epigenetic Regulation of Macrophage Polarization in Cardiovascular Diseases.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Article
- Shared Genetic Etiology of Primary Dilated Cardiomyopathy and Ischemic Dilated Cardiomyopathy.Frontiers in cardiovascular medicine · 2021Article
- Epigenetics and Heart Failure.International journal of molecular sciences · 2020Review
- Clinical Interpretation and Management of Genetic Variants.JACC. Basic to translational science · 2020Review
- Do we need diagnostic strategies enhanced with genetic information for ischemic heart disease?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Article
- Differential methylation pattern in patients with coronary artery disease: pilot study.Molecular biology reports · 2019Article
- Artificial Intelligence for Cardiac Imaging-Genetics Research.Frontiers in cardiovascular medicine · 2019Review
- Article
- Genetic Testing in Cardiovascular Medicine.Texas Heart Institute journal · 2018Review
- Hypertrophic Cardiomyopathy: Genetics, Pathogenesis, Clinical Manifestations, Diagnosis, and Therapy.Circulation research · 2017Review
- A Potential Oligogenic Etiology of Hypertrophic Cardiomyopathy: A Classic Single-Gene Disorder.Circulation research · 2017Article
- Complex Segregation Analysis Provides Evidence for Autosomal Dominant Transmission in the Chinese Han Families with Ankylosing Spondylitis.BioMed research international · 2017Article
- Genetics and Genomics of Single-Gene Cardiovascular Diseases: Common Hereditary Cardiomyopathies as Prototypes of Single-Gene Disorders.Journal of the American College of Cardiology · 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
2 authors.
Funding
Abstract
DNA sequence variants are major components of the "causal field" for virtually all medical phenotypes, whether single gene familial disorders or complex traits without a clear familial aggregation. The causal variants in single gene disorders are necessary and sufficient to impart large effects. In contrast, complex traits are attributable to a much more complicated network of contributory components that in aggregate increase the probability of disease. The conventional approach to identification of the causal variants for single gene disorders is genetic linkage. However, it does not offer sufficient resolution to map the causal genes in small families or sporadic cases. The approach to genetic studies of complex traits entails candidate gene or genome-wide association studies. Genome-wide association studies provide an unbiased survey of the effects of common genetic variants (common disease-common variant hypothesis). Genome-wide association studies have led to identification of a large number of alleles for various cardiovascular diseases. However, common alleles account for a relatively small fraction of the total heritability of the traits. Accordingly, the focus has shifted toward identification of rare variants that might impart larger effect sizes (rare variant-common disease hypothesis). This shift is made feasible by recent advances in massively parallel DNA sequencing platforms, which afford the opportunity to identify virtually all common as well as rare alleles in individuals. In this review, we discuss various strategies that are used to delineate the genetic contribution to medically important cardiovascular phenotypes, emphasizing the utility of the new deep sequencing approaches.
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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.