ArticleCirculation. Genomic and precision medicine2019
Integrative Functional Annotation of 52 Genetic Loci Influencing Myocardial Mass Identifies Candidate Regulatory Variants and Target Genes.
Article in Circulation. Genomic and precision medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner-Bratzler Shear Force Measured onFoods (Basel, Switzerland) · 2021Article
- Multi-omics integration identifies key upstream regulators of pathomechanisms in hypertrophic cardiomyopathy due to truncating MYBPC3 mutations.Clinical epigenetics · 2021Article
- Panomics: New Databases for Advancing Cardiology.Frontiers in cardiovascular medicine · 2021Review
- Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation.Circulation research · 2020Review
- A comparison of two workflows for regulome and transcriptome-based prioritization of genetic variants associated with myocardial mass.Genetic epidemiology · 2019Article
Corrections and comments
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Authors and funding
16 authors at 12 institutions in 6 countries.
Funding
Abstract
backgroundRegulatory elements may be involved in the mechanisms by which 52 loci influence myocardial mass, reflected by abnormal amplitude and duration of the QRS complex on the ECG. Functional annotation thus far did not take into account how these elements are affected in disease context.
methodsWe generated maps of regulatory elements on hypertrophic cardiomyopathy patients (ChIP-seq N=14 and RNA-seq N=11) and nondiseased hearts (ChIP-seq N=4 and RNA-seq N=11). We tested enrichment of QRS-associated loci on elements differentially acetylated and directly regulating differentially expressed genes between hypertrophic cardiomyopathy patients and controls. We further performed functional annotation on QRS-associated loci using these maps of differentially active regulatory elements.
resultsRegions differentially affected in disease showed a stronger enrichment ( P=8.6×10
conclusionsOur results suggest differentially active regulatory elements between hypertrophic cardiomyopathy patients and controls can offer more insights into the mechanisms of QRS-associated loci than elements not affected by disease.
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