ReviewCurrent atherosclerosis reports2018
Genome-Wide Association Studies of Coronary Artery Disease: Recent Progress and Challenges Ahead.
Review in Current atherosclerosis reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 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
18 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- Pooled it
- Prioritization of causal genes for coronary artery disease based on cumulative evidence from experimental and in silico studies.Scientific reports · 2020Pooled it
- Evolutionary Action-Machine Learning Model Identifies Candidate Genes Associated With Early-Onset Coronary Artery Disease.Journal of the American Heart Association · 2023Article
- Article
- Identification Markers of Carotid Vulnerable Plaques: An Update.Biomolecules · 2022Review
- Improving polygenic prediction with genetically inferred ancestry.HGG advances · 2022Article
- Article
- The Propagation of Racial Disparities in Cardiovascular Genomics Research.Circulation. Genomic and precision medicine · 2021Review
- Shared genetic architecture between neuroticism, coronary artery disease and cardiovascular risk factors.Translational psychiatry · 2021Article
- Cardioinformatics: the nexus of bioinformatics and precision cardiology.Briefings in bioinformatics · 2020Article
- Stem Cell Pluripotency Genes Klf4 and Oct4 Regulate Complex SMC Phenotypic Changes Critical in Late-Stage Atherosclerotic Lesion Pathogenesis.Circulation · 2020Article
- Splice variants of lncRNA RNA ANRIL exert opposing effects on endothelial cell activities associated with coronary artery disease.RNA biology · 2020Article
- Network Medicine: A Clinical Approach for Precision Medicine and Personalized Therapy in Coronary Heart Disease.Journal of atherosclerosis and thrombosis · 2020Review
- Observational
- The transferability of lipid loci across African, Asian and European cohorts.Nature communications · 2019Article
- Completing the genetic spectrum influencing coronary artery disease: from germline to somatic variation.Cardiovascular research · 2019Review
- How Genomics Is Personalizing the Management of Dyslipidemia and Cardiovascular Disease Prevention.Current cardiology reports · 2018Review
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
purpose of reviewGenome-wide association studies (GWAS) have been the primary tool for unbiased assessment of the genetic basis of coronary artery disease (CAD) for more than a decade. We summarize successes as well as shortcomings of recent studies in this context. RECENT
findingsThe number of CAD-associated loci has more than doubled in the past year to 161. This rapid progress has been in large part due to the release of genome-wide genotyping data for the largely European participants of the UK Biobank study which has been combined with existing GWAS from the CARDIoGRAMplusC4D consortium. Additional discoveries have been achieved through large-scale genotyping of participants using custom high-yield genotyping arrays including the Metabochip and the Exome chip. As a consequence, the ability of genetic risk scores in predicting incident CAD events has improved but that improvement has only been shown in European populations. GWAS have proven to be a fruitful approach for uncovering the genetic drivers of CAD. However, determining the mechanisms of association of GWAS findings remains a challenging endeavor requiring long-term investment. Genetic risk scores offer an opportunity for recent findings to have an immediate clinical impact. Going forward, CAD genetics will benefit greatly from the release of more genetic data produced by mega-biobanks. These new data will allow for the more comprehensive examination of underrepresented populations.
Indexed as
Identifiers
30022313What 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.