ReviewCurrent opinion in cardiology2015
Genetics of common forms of heart failure: challenges and potential solutions.
Review in Current opinion in cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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
21 citing papers in PubMed.
- Article
- LocusPackRat: an R package to support prioritizing candidate genes from large GWAS intervals with standardized evidence aggregation.G3 (Bethesda, Md.) · 2026Article
- LocusPackRat: a Semi-Automated Framework for Prioritizing Candidate Genes from Large GWAS Intervals.bioRxiv : the preprint server for biology · 2025Article
- Review
- Using Omics to Identify Novel Therapeutic Targets in Heart Failure.Circulation. Genomic and precision medicine · 2024Review
- Application and Potential of Artificial Intelligence in Heart Failure: Past, Present, and Future.International journal of heart failure · 2024Review
- Article
- Big Data Approaches in Heart Failure Research.Current heart failure reports · 2020Review
- Epigenomes of Human Hearts Reveal New Genetic Variants Relevant for Cardiac Disease and Phenotype.Circulation research · 2020Article
- Systems Genetics for Mechanistic Discovery in Heart Diseases.Circulation research · 2020Review
- Atrial Fibrillation Genetics Update: Toward Clinical Implementation.Frontiers in cardiovascular medicine · 2019Review
- Variable outcomes of human heart attack recapitulated in genetically diverse mice.NPJ Regenerative medicine · 2019Article
- Genetic Regulation of Fibroblast Activation and Proliferation in Cardiac Fibrosis.Circulation · 2018Article
- Genetics of Cardiovascular Disease: Fishing for Causality.Frontiers in cardiovascular medicine · 2018Review
- Shared genetic regulatory networks for cardiovascular disease and type 2 diabetes in multiple populations of diverse ethnicities in the United States.PLoS genetics · 2017Article
- Genomic translational research: Paving the way to individualized cardiac functional analyses and personalized cardiology.International journal of cardiology · 2017Review
- Systems Genetics Approach Identifies Gene Pathways and Adamts2 as Drivers of Isoproterenol-Induced Cardiac Hypertrophy and Cardiomyopathy in Mice.Cell systems · 2017Article
- Genetic Dissection of Cardiac Remodeling in an Isoproterenol-Induced Heart Failure Mouse Model.PLoS genetics · 2016Article
- Genetic Architecture of Atherosclerosis in Mice: A Systems Genetics Analysis of Common Inbred Strains.PLoS genetics · 2015Article
- Deletion of MLIP (muscle-enriched A-type lamin-interacting protein) leads to cardiac hyperactivation of Akt/mammalian target of rapamycin (mTOR) and impaired cardiac adaptation.The Journal of biological chemistry · 2015Article
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.
Funding
Abstract
purpose of reviewIn contrast to many other human diseases, the use of genome-wide association studies (GWAS) to identify genes for heart failure (HF) has had limited success. We will discuss the underlying challenges as well as potential new approaches to understanding the genetics of common forms of HF. RECENT
findingsRecent research using intermediate phenotypes, more detailed and quantitative stratification of HF symptoms, founder populations and novel animal models has begun to allow researchers to make headway toward explaining the genetics underlying HF using GWAS techniques. SUMMARY: By expanding analyses of HF to improved clinical traits, additional HF classifications and innovative model systems, the intractability of human HF GWAS should be ameliorated significantly.
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Registered trials
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