ArticleWorld journal of cardiology2012
Next generation sequencing in cardiovascular diseases.
Article in World journal of cardiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 35 citations in OpenAlex.
- A scoping review on deep learning for next-generation RNA-Seq. data analysis.Functional & integrative genomics · 2023Article
- Exploring the cardiac ECM during fibrosis: A new era with next-gen proteomics.Frontiers in molecular biosciences · 2022Review
- Genome Editing for the Understanding and Treatment of Inherited Cardiomyopathies.International journal of molecular sciences · 2020Review
- Electrocardiographic Assessment and Genetic Analysis in Neonates: a Current Topic of Discussion.Current cardiology reviews · 2019Review
- NGS Technologies as a Turning Point in Rare Disease Research , Diagnosis and Treatment.Current medicinal chemistry · 2018Review
- Rare Association of two Genetic Causes of Sudden Death in a Young Survivor.Arquivos brasileiros de cardiologia · 2017Article
- Application of Single-Nucleotide Polymorphism-Related Risk Estimates in Identification of Increased Genetic Susceptibility to Cardiovascular Diseases: A Literature Review.Frontiers in public health · 2017Review
- Targeted next-generation sequencing detects novel gene-phenotype associations and expands the mutational spectrum in cardiomyopathies.PloS one · 2017Article
- The Impact of CRISPR/Cas9 Technology on Cardiac Research: From Disease Modelling to Therapeutic Approaches.Stem cells international · 2017Review
- The Role of Genetic Testing in the Identification of Young Athletes with Inherited Primitive Cardiac Disorders at Risk of Exercise Sudden Death.Frontiers in cardiovascular medicine · 2016Review
- Management of Incidental Findings in the Era of Next-generation Sequencing.Current genomics · 2015Article
- Cardiovascular transcriptomics and epigenomics using next-generation sequencing: challenges, progress, and opportunities.Circulation. Cardiovascular genetics · 2014Review
- China launched a pilot project to improve its rare disease healthcare levels.Orphanet journal of rare diseases · 2014Article
- New and TALENted genome engineering toolbox.Circulation research · 2013Review
- Hierarchical approaches for systems modeling in cardiac development.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last few years, the advent of next generation sequencing (NGS) has revolutionized the approach to genetic studies, making whole-genome sequencing a possible way of obtaining global genomic information. NGS has very recently been shown to be successful in identifying novel causative mutations of rare or common Mendelian disorders. At the present time, it is expected that NGS will be increasingly important in the study of inherited and complex cardiovascular diseases (CVDs). However, the NGS approach to the genetics of CVDs represents a territory which has not been widely investigated. The identification of rare and frequent genetic variants can be very important in clinical practice to detect pathogenic mutations or to establish a profile of risk for the development of pathology. The purpose of this paper is to discuss the recent application of NGS in the study of several CVDs such as inherited cardiomyopathies, channelopathies, coronary artery disease and aortic aneurysm. We also discuss the future utility and challenges related to NGS in studying the genetic basis of CVDs in order to improve diagnosis, prevention, and treatment.
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.