Evidence map›Paper›PMID 27871331›Full record

ArticleItalian journal of pediatrics2016

Association of DARS gene polymorphisms with the risk of isolated ventricular septal defects in the Chinese Han population.

Yu Feng, Runsen Chen, Xuming Mo

Open access · goldAbstract read
In one paragraph

Article in Italian journal of pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 91% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Yu FengDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210000, China.
Runsen ChenDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210000, China.
Xuming MoDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210000, China. mohsuming15@sina.com.
Second Affiliated Hospital of Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVentricular septal defects (VSD) are the most common subtype of congenital heart defects (CHD) and are estimated to account for 20 to 30% of all cases of CHD. The etiology of isolated VSD remains poorly understood. Eight core aminoacyl-tRNA synthetases (ARSs) (EPRS, MARS, QARS, RARS, IARS, LARS, KARS, and DARS) combine with three nonenzymatic components to form a complex known as the multisynthetase complex (MSC). Four single nucleotide polymorphisms (SNPs) in EPRS have been reported to be associated with risks of CHD in Chinese populations.

methodsIn this study, we hypothesize that SNPs of the DARS gene might influence susceptibility to sporadic isolated VSD. Therefore, we conducted a case-control study of 841 patients with isolated VSD and 2953 non-CHD controls from the Chinese Han population to evaluate how 4 potentially functional SNPs within the DARS gene were associated with the risk of VSD.

resultsWe observed that the risk of VSD was significantly associated with rs2164331 [G/A; odds ratio (OR) = 0.78, 95% confidence interval (CI) = 0.69-0.91; P = 3.17 × 10

conclusionsThese findings indicate that genetic variants of the DARS gene may influence individual susceptibility to isolated VSD in the Chinese Han population.

Indexed as

Polymorphism, Single NucleotideAspartate-tRNA LigaseCase-Control StudiesChinaFemaleGenotypeHeart Septal Defects, VentricularHumansInfantMaleAspartate-tRNA LigaseDARS2 protein, humanAminoacyl-tRNA synthetasesAssociation studyPolymorphismVentricular septal defect

Identifiers

PMID27871331
PMCPMC5117545
OpenAlexW2553319524

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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.