Evidence map›Paper›PMID 28782493›Full record

ReviewCurrent cardiology reviews2017

Big Data and Genome Editing Technology: A New Paradigm of Cardiovascular Genomics.

Chayakrit Krittanawong, Tao Sun, Eyal Herzog

Open access · bronzeAbstract readReview
In one paragraph

Review in Current cardiology reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 84% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Online Databases of Genome Editing in Cardiovascular and Metabolic Diseases.Advances in experimental medicine and biology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Chayakrit KrittanawongDepartment of Internal Medicine, Icahn School of Medicine at Mount Sinai, 1000 10th Ave, New York, NY 10019. United States.
Tao SunDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota, MN. United States.
Eyal HerzogDepartment of Cardiovascular Disease, Icahn School of Medicine at Mount Sinai St' Luke, Mount Sinai Heart, New York, NY. United States.
Icahn School of Medicine at Mount Sinai · USMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opinion Statements: Cardiovascular diseases (CVDs) encompass a range of conditions extending from congenital heart disease to acute coronary syndrome most of which are heterogenous in nature and some of them are multiple genetic loci. However, the pathogenesis of most CVDs remains incompletely understood. The advance in genome-editing technologies, an engineering process of DNA sequences at precise genomic locations, has enabled a new paradigm that human genome can be precisely modified to achieve a therapeutic effect. Genome-editing includes the correction of genetic variants that cause disease, the addition of therapeutic genes to specific sites in the genomic locations, and the removal of deleterious genes or genome sequences. Site-specific genome engineering can be used as nucleases (known as molecular scissors) including zinc finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs), and the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated 9 (Cas9) systems to provide remarkable opportunities for developing novel therapies in cardiovascular clinical care. Here we discuss genetic polymorphisms and mechanistic insights in CVDs with an emphasis on the impact of genome-editing technologies. The current challenges and future prospects for genomeediting technologies in cardiovascular medicine are also discussed.

Indexed as

Cardiovascular DiseasesGene EditingGenome-Wide Association StudyGenomicsHumansgenomeGenome editing technologygenome engineeringgenome-wide association studiesGWAS

Identifiers

PMID28782493
PMCPMC5730963
OpenAlexW2743642094

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.