Evidence map›Paper›PMID 23551056›Full record

ArticleGenetic testing and molecular biomarkers2013

Variations in the PDCD6 gene are associated with increased uterine leiomyoma risk in the Chinese.

Kui Zhang, Bin Zhou, Shaoqing Shi, Yaping Song, Lin Zhang

Open access · greenAbstract read
In one paragraph

Article in Genetic testing and molecular biomarkers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Prognostic value of PDCD6 polymorphisms and the susceptibility to bladder cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  5. 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

5 authors at 1 institution in 1 country.

Kui ZhangDepartment of Forensic Biology, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu, People's Republic of China.
Bin Zhou
Shaoqing Shi
Yaping Song
Lin Zhang
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmed cell death 6 (PDCD6) participates in T cell receptor, Fas, and glucocorticoid-induced programmed cell death. To test the relationship between PDCD6 polymorphisms and uterine leiomyomas (UL) risk, we investigated the association of two SNPs (rs4957014 and rs3756712) in PDCD6 with UL risk in a case-control study of 295 unrelated premenopausal UL patients and 436 healthy postmenopausal control subjects in a population of China. Genotypes of the two SNPs were determined with the use of PCR-restriction fragment length polymorphism assay. Significantly increased UL risks were found to be associated with the T allele of rs4957014 and the T allele of rs3756712 (p=0.016, odds ratio [OR]=1.325, 95% confidence intervals [CI]=1.053-1.668 for rs4957014; p<0.0001, OR=1.898, 95% CI=1.457-2.474 for rs3756712, respectively). Increased UL risks were associated with them in different genetic models. The present study provided evidence that rs4957014 and rs3756712 are associated with UL risk, the results indicated that genetic polymorphisms in PDCD6 may contribute to the development of UL.

Indexed as

AdultAgedApoptosis Regulatory ProteinsAsian PeopleCalcium-Binding ProteinsCase-Control StudiesChinaFemaleGene FrequencyGenetic Predisposition to DiseaseHumansLeiomyomaMiddle AgedPolymorphism, Single NucleotideRiskYoung AdultApoptosis Regulatory ProteinsCalcium-Binding ProteinsPDCD6 protein, human

Identifiers

PMID23551056
PMCPMC3700461
OpenAlexW2071341115

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.