Evidence map›Paper›PMID 26040335›Full record

ReviewCirculation journal : official journal of the Japanese Circulation Society2015

Genetic Variation in Cardiomyopathy and Cardiovascular Disorders.

Elizabeth M McNally, Megan J Puckelwartz

Open access · diamondAbstract readReview
In one paragraph

Review in Circulation journal : official journal of the Japanese Circulation Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Elizabeth M McNallyCenter for Genetic Medicine, Northwestern University Feinberg School of Medicine.
Megan J Puckelwartz
Northwestern University · US

Funding

Training and education CoreU54AR052646 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI MCNALLY, ELIZABETH M, SWEENEY, H LEE · 2005 to 2020
$24.1M
Regulation of TGF - (beta) pathways in muscular dystrophy fibrosisP01NS072027 · NINDS · UNIVERSITY OF CHICAGO · PI MCNALLY, ELIZABETH M · 2011 to 2015
$6.2M
Cardiomyopathy Genomes ProjectR01HL128075 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MCNALLY, ELIZABETH M, NOBREGA, MARCELO A. · 2015 to 2023
$5.3M
Mechanisms of sulfonylurea receptor mediated cardiomyopathyR01HL122109 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MAKIELSKI, JONATHAN C, MCNALLY, ELIZABETH M · 2015 to 2018
$2.4M
BIOLOGY OF NEUROBLASTOMAR01NS027027 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI WILSON, DAVID F · 1989 to 1991
–
NHLBI NIH HHS HL128075NHLBI NIH HHS R01 HL122109NHLBI NIH HHS R01 HL128075NIAMS NIH HHS AR052646NINDS NIH HHS NS027027NINDS NIH HHS P01 NS072027
6 · The paper itself

Abstract

With the wider deployment of massively-parallel, next-generation sequencing, it is now possible to survey human genome data for research and clinical purposes. The reduced cost of producing short-read sequencing has now shifted the burden to data analysis. Analysis of genome sequencing remains challenged by the complexity of the human genome, including redundancy and the repetitive nature of genome elements and the large amount of variation in individual genomes. Public databases of human genome sequences greatly facilitate interpretation of common and rare genetic variation, although linking database sequence information to detailed clinical information is limited by privacy and practical issues. Genetic variation is a rich source of knowledge for cardiovascular disease because many, if not all, cardiovascular disorders are highly heritable. The role of rare genetic variation in predicting risk and complications of cardiovascular diseases has been well established for hypertrophic and dilated cardiomyopathy, where the number of genes that are linked to these disorders is growing. Bolstered by family data, where genetic variants segregate with disease, rare variation can be linked to specific genetic variation that offers profound diagnostic information. Understanding genetic variation in cardiomyopathy is likely to help stratify forms of heart failure and guide therapy. Ultimately, genetic variation may be amenable to gene correction and gene editing strategies.

Indexed as

Genetic VariationCardiomyopathiesCardiovascular DiseasesDatabases, GeneticExomeGenetics, PopulationGenome, HumanHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNA

Identifiers

PMID26040335
PMCPMC4605546
OpenAlexW1635804580

What OpenQuestion holds

Textmetadata
LicenceTDM
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.