ReviewJournal of molecular and cellular cardiology2015
Genome-wide association studies of late-onset cardiovascular disease.
Review in Journal of molecular and cellular cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis 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
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Leptin Receptor Gene Polymorphism and the Risk of Cardiovascular Disease: A Systemic Review and Meta-Analysis.International journal of environmental research and public health · 2017Pooled it
- Cardiovascular Genetic Epidemiology in the Genome-Wide Era: From Association Discovery to Mechanistic Dissection and Clinical Translation.Cardiovascular drugs and therapy · 2026Review
- Selected Genes Associated With CVD-Related Diseases, Pathways, and Nutrigenetics.Journal of lipid and atherosclerosis · 2026Review
- Cardiac cell senescence: molecular mechanisms, key proteins and therapeutic targets.Cell death discovery · 2024Review
- Article
- The genomics of heart failure: design and rationale of the HERMES consortium.ESC heart failure · 2021Article
- Genome-Wide Variants Associated With Longitudinal Survival Outcomes Among Individuals With Coronary Artery Disease.Frontiers in genetics · 2021Article
- Ultrastructural Pathology of Atherosclerosis, Calcific Aortic Valve Disease, and Bioprosthetic Heart Valve Degeneration: Commonalities and Differences.International journal of molecular sciences · 2020Article
- Prioritizing putative influential genes in cardiovascular disease susceptibility by applying tissue-specific Mendelian randomization.Genome medicine · 2019Article
- Cardiac ageing: extrinsic and intrinsic factors in cellular renewal and senescence.Nature reviews. Cardiology · 2018Review
- A genetic variant near adaptor-related protein complex 2 alpha 2 subunit gene is associated with coronary artery disease in a Chinese population.BMC cardiovascular disorders · 2018Article
- Non-coding RNAs in cardiovascular diseases: diagnostic and therapeutic perspectives.European heart journal · 2018Review
- Plasma proteomic analysis reveals altered protein abundances in cardiovascular disease.Journal of translational medicine · 2018Article
- Familial Aggregation of Aortic Valvular Stenosis: A Nationwide Study of Sibling Risk.Circulation. Cardiovascular genetics · 2017Article
- Peripheral Arterial Disease Genetics: Progress to Date and Challenges Ahead.Current cardiology reports · 2017Review
- Human pluripotent stem cell models of cardiac disease: from mechanisms to therapies.Disease models & mechanisms · 2017Review
- Genetic risk factors for myocardial infarction more clearly manifest for early age of first onset.Molecular biology reports · 2017Article
- Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine.JACC. Basic to translational science · 2017Review
- An Assessment and Extension of the Mechanism-Based Approach to the Identification of Age-Period-Cohort Models.Demography · 2017Article
- Genomic structural variations for cardiovascular and metabolic comorbidity.Scientific reports · 2017Article
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 2 institutions in 2 countries.
Funding
Abstract
Human genetics is a powerful tool for discovering causal mediators of human disease and physiology. Cardiovascular diseases with late onset in the lifecourse have historically not been considered genetic diseases, but in recent years the contribution of a heritable factor has been established. More importantly, over the last decade genome-wide association studies (GWASs) have identified many loci associated with late-onset cardiovascular diseases including coronary artery disease, carotid artery disease, ischemic stroke, aortic aneurysm, peripheral vascular disease, atrial fibrillation, valvular disease and correlates of vascular and myocardial function. Here we review findings from GWASs considered statistically robust with regard to multiple testing (p<5×10(-8)) for late-onset cardiovascular diseases and traits. Although for only a handful of the 92 genetic loci described here have the mechanisms underlying disease association been established, new and previously unsuspected pathways have been implicated for several conditions. Examples include a role for NO signaling in myocardial repolarization and sudden cardiac death and a role for the protein sortilin in lipid metabolism and coronary artery disease. Genetic loci with multiple trait associations have also provided novel biological insights. For example, of the 46 genetic loci associated with coronary artery disease, only 16 are also associated with conventional risk factors for cardiovascular disease whereas the remaining two thirds may reflect novel pathways. Much work remains to functionally characterize genetic loci and for clinical utility, but accruing insights into the biological basis of cardiovascular aging in human populations promise to point to novel therapeutic and preventive strategies. This article is part of a Special Issue entitled 'SI:CV Aging'.
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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.