ReviewTrends in cardiovascular medicine2017
Genetic association studies in cardiovascular diseases: Do we have enough power?
Review in Trends in cardiovascular medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Underlying causes for prevalent false positives and false negatives in STARR-seq data.NAR genomics and bioinformatics · 2023Article
- Genetic Determinants of the Acute Respiratory Distress Syndrome.Journal of clinical medicine · 2023Review
- Association study of polymorphism in Thrombomodulin gene [rs1042579] with cardiovascular disease.Acta bio-medica : Atenei Parmensis · 2022Article
- Rat models of human diseases and related phenotypes: a systematic inventory of the causative genes.Journal of biomedical science · 2020Review
- Translational Genomics in Neurocritical Care: a Review.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020Review
- Exome sequencing in genetic disease: recent advances and considerations.F1000Research · 2020Review
- Stress related disorders and risk of cardiovascular disease: population based, sibling controlled cohort study.BMJ (Clinical research ed.) · 2019Article
- New perspectives: systems medicine in cardiovascular disease.BMC systems biology · 2018Article
- Large-Scale Genomic Biobanks and Cardiovascular Disease.Current cardiology reports · 2018Review
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Authors and funding
2 authors.
Funding
Abstract
Genetic association studies have a long history of delivering insightful results for cardiovascular disease (CVD) research. Beginning with early candidate gene studies, to genome-wide association studies, and now on to newer whole-genome sequencing studies, research in human genetics has enriched our understanding of the pathobiology of CVD. As these studies continue to expand, the issue of statistical power plays an important role in study design as well as the interpretation of results. We provide an overview of the component parts that determine statistical power and preview the future of CVD genetic association studies through this lens.
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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.