Evidence map›Paper›PMID 23652783›Full record

ArticleHerz2014

Haplotype analysis of PPARγ C681G and intron CT variants. Positive association with essential hypertension.

Q Zhu, Z Guo, X Hu, M Wu, Q Chen, W Luo, J Liu

Abstract read
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In one paragraph

Article in Herz, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Q ZhuDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, 215123, SuZhou, JiangSu, China.
Z Guo
X Hu
M Wu
Q Chen
W Luo
J Liu
Centers for Disease Control and Prevention · USSoochow University · CNSoochow University · TWNanjing Health and Health Commission · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is strong evidence suggesting an association between the peroxisome-activated receptor γ (PPARγ) gene and multimetabolic disorders. The association of PPARγ genetic variants with essential hypertension (EH) has not yet been investigated. The aim of this study was to investigate the association between the PPARγ gene (C681G and intron CT) and EH, examining the polymorphism and haplotype in a Han Chinese population.

methodsParticipants were recruited within the framework of the PMMJS cohort population survey in an urban community of Jiangsu Province, China. Two single-nucleotide polymorphisms (SNPs) previously reported to be associated with multimetabolic disorders and the reasonable coverage of the PPARγ gene region were analyzed with TaqMan SNP genotyping assays.

resultsC681G and intron CT were significantly associated with an increased risk of EH both in the codominant model and the dominant model after adjusting for potential nongenetic risk factors. Analysis of the haplotype association revealed that the risk of EH was significantly increased among individuals carrying the GC (odds ratio, 95 % CI: 1.60, 1.21-2.11), CT (1.45, 1.03-2.11), and GT haplotypes (1.95, 1.17-3.23) compared with those carrying the CC haplotype.

conclusionThe polymorphisms of C681G and intron CT were significantly associated with the risk of EH, and the GC, CT, and GT haplotypes established by C681G and intron CT are likely to be genetic markers of EH in the Han Chinese population.

Indexed as

Base SequenceChinaCohort StudiesFemaleGenetic Association StudiesGenetic MarkersGenetic Predisposition to DiseaseGenetic VariationHaplotypesHumansHypertensionIntronsMaleMiddle AgedMolecular Sequence DataPolymorphism, Single NucleotideGenetic MarkersPPAR gamma

Identifiers

PMID23652783
OpenAlexW1592076316

What OpenQuestion holds

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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.