Evidence map›Paper›PMID 27324535›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2016

[Association between glutamate receptor 2 polymorphisms and epilepsy in children].

Xian Wang, Tian-Jiao Zhu, Zhi-Ting Wan, Xue-Mei Zhu

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Xian WangDepartment of Pediatrics, Xianning Central Hospital/First Affiliated Hospital of Hubei University of Science and Technology, Xianning, Hubei 437100, China. Wanzt_xn@163.com.
Tian-Jiao Zhu
Zhi-Ting Wan
Xue-Mei Zhu
Xianning Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the association between two single nucleotide polymorphisms (SNPs), rs9390754 and rs4840200, in the glutamate receptor 2 (GRIK2) gene and the genetic susceptibility to epilepsy (EP) in the Han population in Central China.

methodsA case-control study was performed in 284 EP children (including 132 children with refractory epilepsy) and 315 normal children from Central China. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used to determine the genotypes of the two SNPs rs9390754 and rs4840200. The genotype frequency was compared between groups.

resultsThe frequencies of GG, GA, and AA genotypes of SNP rs9390754 showed a significant difference between the EP and normal control groups (P=0.016). The allele frequency also showed a significant difference between the two groups (P=0.002). The frequencies of CC, CT, and TT genotypes of SNP rs4840200 and allele frequency showed no significant differences between the two groups. The C allele frequency of SNP rs4840200 in the refractory EP subgroup was significantly higher than in the non-refractory EP subgroup (OR=1.435, 95% CI: 1.021-2.016, P=0.037).

conclusionsIn the Han population in Central China, the polymorphisms of SNP rs9390754 in the GRIK2 gene may be associated with EP susceptibility, and the C allele of SNP rs4840200 may be a genetic risk factor for the development of drug resistance in children with EP.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideChildChild, PreschoolEpilepsyFemaleGene FrequencyGenotypeGluK2 Kainate ReceptorHumansKainic Acid ReceptorsMaleRisk FactorsGluK2 Kainate ReceptorKainic Acid Receptors

Identifiers

PMID27324535
PMCPMC7389090
OpenAlexW2480479094

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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.