ReviewDisease models & mechanisms2012
Understanding cardiovascular disease: a journey through the genome (and what we found there).
Review in Disease models & mechanisms, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04444570 (Continuous Glycemia Monitoring in Perioperative Period in Patients Undergoing Total Knee or Hip Arthroplasty), which is not on this map. Cited by 19 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.
Continuous Glycemia Monitoring in Perioperative Period in Patients Undergoing Total Knee or Hip Arthroplasty: a Protocol of Observational Study
Who cites it
19 citing papers in PubMed, 41 citations in OpenAlex.
- Transcriptomic Alterations in Spliceosome Components in Advanced Heart Failure: Status of Cardiac-Specific Alternative Splicing Factors.International journal of molecular sciences · 2024Article
- scaRNA20 promotes pseudouridylatory modification of small nuclear snRNA U12 and improves cardiomyogenesis.Experimental cell research · 2024Article
- Technologies to Study Genetics and Molecular Pathways.Advances in experimental medicine and biology · 2024Review
- Observational
- A glance at the application of CRISPR/Cas9 gene-editing technology in cardiovascular diseases.Journal of cardiovascular and thoracic research · 2022Review
- Inflammation in Periodontal Disease: Possible Link to Vascular Disease.Frontiers in physiology · 2020Review
- Biology and clinical relevance of noncoding sno/scaRNAs.Trends in cardiovascular medicine · 2018Review
- Article
- Molecular Autopsy for Sudden Death in the Young: Is Data Aggregation the Key?Frontiers in cardiovascular medicine · 2017Article
- MicroRNA: A new therapeutic strategy for cardiovascular diseases.Trends in cardiovascular medicine · 2016Review
- Publisher’s Note:Abstraction for data integration:Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction.Computational biology and chemistry · 2015Article
- Genetic networks governing heart development.Cold Spring Harbor perspectives in medicine · 2014Review
- Advances in induced pluripotent stem cells, genomics, biomarkers, and antiplatelet therapy highlights of the year in JCTR 2013.Journal of cardiovascular translational research · 2014Review
- FineSplice, enhanced splice junction detection and quantification: a novel pipeline based on the assessment of diverse RNA-Seq alignment solutions.Nucleic acids research · 2014Article
- Wrecked regulation of intrinsically disordered proteins in diseases: pathogenicity of deregulated regulators.Frontiers in molecular biosciences · 2014Review
- The alternative heart: impact of alternative splicing in heart disease.Journal of cardiovascular translational research · 2013Review
- Article
- Alternative splicing for diseases, cancers, drugs, and databases.TheScientificWorldJournal · 2013Review
- A New Era of Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated Protein 9 Gene Editing Technology in Cardiovascular Diseases: Opportunities, Challenges, and Perspectives.Heart views : the official journal of the Gulf Heart AssociationReview
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular disease (CVD) is a major cause of mortality and hospitalization worldwide. Several risk factors have been identified that are strongly associated with the development of CVD. However, these explain only a fraction of cases, and the focus of research into the causes underlying the unexplained risk has shifted first to genetics and more recently to genomics. A genetic contribution to CVD has long been recognized; however, with the exception of certain conditions that show Mendelian inheritance, it has proved more challenging than anticipated to identify the precise genomic components responsible for the development of CVD. Genome-wide association studies (GWAS) have provided information about specific genetic variations associated with disease, but these are only now beginning to reveal the underlying molecular mechanisms. To fully understand the biological implications of these associations, we need to relate them to the exquisite, multilayered regulation of protein expression, which includes chromatin remodeling, regulatory elements, microRNAs and alternative splicing. Understanding how the information contained in the DNA relates to the operation of these regulatory layers will allow us not only to better predict the development of CVD but also to develop more effective therapies.
Indexed as
Identifiers
What 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.