Evidence map›Paper›PMID 25889125›Full record

ArticleLipids in health and disease2015

Relationship between CYP17A1 genetic polymorphism and coronary artery disease in a Chinese Han population.

Chuan-Fang Dai, Xiang Xie, Yi-Ning Yang, Xiao-Mei Li, Ying-Ying Zheng, Zhen-Yan Fu, Fen Liu, Bang-Dang Chen, Min-Tao Gai, Yi-Tong Ma

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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  13. Association of TCF7L2 Genetic Polymorphisms with Type 2 Diabetes Mellitus in the Uygur Population of China.International journal of environmental research and public health · 2015
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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

10 authors at 2 institutions in 1 country.

Chuan-Fang DaiDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, P.R. China. 979363814@qq.com.
Xiang XieDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, P.R. China. xiangxie999@sina.com.
Yi-Ning YangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, P.R. China. yangyn5126@163.com.
Xiao-Mei LiDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, P.R. China. lixm505@163.com.
Ying-Ying ZhengDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, P.R. China. zhengying527@163.com.
Zhen-Yan FuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, P.R. China. fuzhenyan316@126.com.
Fen LiuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, P.R. China. fenliu82@163.com.
Bang-Dang ChenDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, P.R. China. chenbangdang@126.com.
Min-Tao GaiDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, P.R. China. 2818246754@qq.com.
Yi-Tong MaDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, P.R. China. myt_xj@sina.com.
First Affiliated Hospital of Xinjiang Medical University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCYP17A1 gene encodes P450c17 proteins, which is a key enzyme that catalyzes the formation of sex hormones. Many clinical studies showed that sex hormones levels play an important role in the pathogenesis of coronary artery disease (CAD). However, the relationship between CYP17A1 genetic polymorphisms and CAD remains unclear. The aim of this study was to investigate the association of CYP17A1 genetic polymorphisms with CAD in a Han population of China.

methodsA total of 997 people include 490 patients and 507 controls were selected for the present study. Five single-nucleotide polymorphisms (SNPs) (rs4919686, rs1004467, rs4919687, rs10786712, and rs2486758) were genotyped by using the real-time PCR (TaqMan) method.

resultsFor men, the rs10786712 was found to be associated with CAD in a recessive model (P=0.016), after adjustment of the major confounding factors, the significant difference was retained (OR=1.644, 95% confidence interval [CI]: 1.087-2.488, P=0.019). For women, the rs1004467 was also found to be associated with CAD in a dominant model (P=0.038), the difference remained statistically significant after multivariate adjustment (OR=1.623, 95% CI: 1.023-2.576, P=0.040). The distribution of rs4919687 genotypes showed a significant difference between CAD and control participants in a recessive model (P=0.019), the significant difference was retained after adjustment for covariates (OR=0.417, 95% CI: 0.188-0.926, P=0.032).

conclusionRs1004467, rs4919687, rs10786712 of CYP17A1 gene are associated with CAD in Han population of China. The TT genotype of rs10786712 could be a protective genetic marker of CAD in men. The CC genotype of rs1004467 and the AA genotype of rs4919687 could be risk genetic markers of CAD in women. However, large sample size study including other SNPs of CYP17A1 should be performed in future studies.

Indexed as

Asian PeopleCase-Control StudiesChinaCoronary Artery DiseaseFemaleGenes, DominantGenes, RecessiveGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleMiddle AgedPolymorphism, Single NucleotideReal-Time Polymerase Chain ReactionSex FactorsSteroid 17-alpha-HydroxylaseCYP17A1 protein, humanSteroid 17-alpha-Hydroxylase

Identifiers

PMID25889125
PMCPMC4359393
OpenAlexW2166776177

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LicenceCC BY
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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.