Evidence map›Paper›PMID 24465893›Full record

ArticlePloS one2014

The contributory role of angiotensin receptor-like 1 gene multiple polymorphisms in hypertension among northeastern Han Chinese.

Ruoshan Liu, Hongye Zhao, Yuefei Wang, Yanli Wang, Changzhu Lu, Yu Xiao, Nan Jia, Bin Wang, Wenquan Niu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. The association between apelin polymorphisms and hypertension in China: A meta-analysis.Journal of the renin-angiotensin-aldosterone system : JRAAS
    Pooled it
  3. Article
  4. 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

9 authors at 4 institutions in 1 country.

Ruoshan LiuDepartment of Anesthesiology, Cancer Hospital and Institute, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Hongye ZhaoDepartment of Physiology, Qiqihar Medical University, Qiqihar, Heilongjiang, China.
Yuefei WangDepartment of Physiology, Qiqihar Medical University, Qiqihar, Heilongjiang, China.
Yanli WangDepartment of Cardiology, The Second Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China.
Changzhu LuDepartment of Physiology, Qiqihar Medical University, Qiqihar, Heilongjiang, China.
Yu XiaoDepartment of Physiology, Qiqihar Medical University, Qiqihar, Heilongjiang, China.
Nan JiaDepartment of Hypertension, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Bin WangDepartment of Physiology, Qiqihar Medical University, Qiqihar, Heilongjiang, China.
Wenquan NiuState Key Laboratory of Medical Genomics, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Qiqihar Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNRuijin Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveVia direct sequencing, we have recently identified six common polymorphisms in angiotensin receptor-like 1 (AGTRL1) gene, and found only two polymorphisms were significantly associated with hypertension in a family-based analysis on 1,015 southern Han Chinese. Extending our previous work and considering the ubiquity of epistasis in determining disease susceptibility, we, in this study, sought to explore the potential interaction of AGTRL1 gene six polymorphisms with hypertension in a large northeastern Han Chinese population. METHODS AND

resultsThis was a case-control study involving 1,009 sporadic hypertensive patients and 756 normotensive controls. Data were analyzed by Haplo.Stats and multifactor dimensionality reduction (MDR) softwares. There were no deviations from Hardy-Weinberg equilibrium for all polymorphisms. The genotypes and alleles of rs7119675 and rs11544374 differed significantly between the two groups (P<0.0005), even after the Bonferroni correction. Under three genetic models, significant association was consistently observed for rs7119675 and rs11544374, and this association was independent of confounding factors. Taking rs7119375 as an example, the odds of having hypertension was 2.46 (95% confidence interval (95% CI): 2.06-2.94), 2.82 (95% CI: 2.29-3.46) and 3.97 (95% CI: 2.37-6.64) under additive, dominant and recessive models (P<0.001), respectively, whereas the adjusted risk estimates were slightly attenuated but still significant. The frequencies of most derived haplotypes differed significantly between patients and controls. Haplotype-phenotype analyses indicated marginal association for triglyceride (P(Sim)  = 0.011) and total cholesterol (P(Sim)  = 0.025) in patients and for triglyceride in controls (P(Sim) = 0.023). The overall best MDR model included rs11544374, rs7119375 and rs948847 with the maximal testing accuracy of 0.737 and cross-validation consistency of 10 out of 10 (P<0.0001). Further interaction entropy graph suggested that the interaction of rs7119375 with rs11544374 and rs948847 was strongly antagonized.

conclusionsOur findings demonstrate that AGTRL1 genetic polymorphisms might contribute to the development of hypertension independently and/or through complex interaction.

Indexed as

Polymorphism, Single NucleotideAgedApelin ReceptorsAsian PeopleCase-Control StudiesChinaFemaleGene FrequencyGenetic Predisposition to DiseaseHaplotypesHumansHypertensionMaleMiddle AgedModels, GeneticReceptors, G-Protein-CoupledApelin ReceptorsAPLNR protein, humanReceptors, G-Protein-Coupled

Identifiers

PMID24465893
PMCPMC3896457
OpenAlexW2025252325

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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.