Evidence map›Paper›PMID 26740236›Full record

SynthesisJournal of human genetics2016

Investigation of associations between ten polymorphisms and the risk of coronary artery disease in Southern Han Chinese.

Er-Wen Huang, Long-Yun Peng, Jin-Xiang Zheng, Dan Wang, Xiao-Hong Tan, Zhong-Yi Yang, Xue-Mei Li, Qiu-Ping Wu, Shuang-Bo Tang, Bin Luo and 9 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of human genetics, 2016. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Identification of a newFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2018
    Article
  4. 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

19 authors.

Er-Wen HuangDepartment of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Long-Yun PengDepartment of Cardiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jin-Xiang ZhengDepartment of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Dan WangDepartment of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiao-Hong TanIntensive Care Unit, Guangzhou Brain Hospital, Guangzhou, Guangdong, China.
Zhong-Yi YangDepartment of Cardiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Xue-Mei LiDepartment of Cardiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Qiu-Ping WuDepartment of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Shuang-Bo TangDepartment of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Bin LuoDepartment of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Li QuanDepartment of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Shui-Ping LiuDepartment of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Xiao-Shan LiuDepartment of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Zhao-Hui LiDepartment of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
He ShiGuangzhou Forensic Science Institute, Guangzhou, Guangdong, China.
Guo-Li LvGuangzhou Forensic Science Institute, Guangzhou, Guangdong, China.
Jian ZhaoGuangzhou Forensic Science Institute, Guangzhou, Guangdong, China.
Chao LiuGuangzhou Forensic Science Institute, Guangzhou, Guangdong, China.
Jian-Ding ChengDepartment of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large-scale meta-analysis of 14 genome-wide association studies has identified and replicated a series of susceptibility polymorphisms for coronary artery disease (CAD) in European ancestry populations, but evidences for the associations of these loci with CAD in other ethnicities remain lacking. Herein we investigated the associations between ten (rs579459, rs12413409, rs964184, rs4773144, rs2895811, rs3825807, rs216172, rs12936587, rs46522 and rs3798220) of these loci and CAD in Southern Han Chinese (CHS). Genotyping was performed in 1716 CAD patients and 1572 controls using mass spectrography. Both allelic and genotypic associations of rs964184, rs2895811 and rs3798220 with CAD were significant, regardless of adjustment for covariates of gender, age, hypertension, type 2 diabetes, blood lipid profiles and smoking. Significant association of rs12413409 was initially not observed, but after the adjustment for the covariates, both allelic and genotypic associations were identified as significant. Neither allelic nor genotypic association of the other six polymorphisms with CAD was significant regardless of the adjustment. Our results indicated that four loci of the total 10 were associated with CAD in CHS. Therefore, some of the CAD-related loci in European ancestry populations are indeed susceptibility loci for the risk of CAD in Han Chinese.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseasePolymorphism, Single NucleotideAllelesAsian PeopleCase-Control StudiesChinaCoronary Artery DiseaseGene FrequencyGenome-Wide Association StudyGenotypeHumansOdds RatioRisk

Identifiers

PMID26740236

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.