Evidence map›Paper›PMID 33319614›Full record

ArticleJournal of the renin-angiotensin-aldosterone system : JRAAS

Haplotype-based association study between PRCP gene polymorphisms and essential hypertension in Hani minority group from a remote region of China.

Yanrui Wu, Xingming Pan, Xiaoxiao Jin

Open access · hybridAbstract read
In one paragraph

Article in Journal of the renin-angiotensin-aldosterone system : JRAAS. 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
–field-weighted citation impact, top 85% 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, 3 citations in OpenAlex.

  1. Review
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  3. 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

3 authors at 1 institution in 1 country.

Yanrui WuSchool of Basic Medical Sciences, Kunming Medical University, Kunming, Yunnan Province, P. R. China.ORCID https://orcid.org/0000-0001-5008-4300
Xingming PanHuman Resources Department of Kunming Medical University, Kunming, Yunnan Province, P. R. China.
Xiaoxiao JinSchool of Basic Medical Sciences, Kunming Medical University, Kunming, Yunnan Province, P. R. China.
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveProlylcarboxypeptidase (PRCP) is both involved in the Kallikrein-Kinin system (KKS) and renin-angiotensin-aldosterone system (RAAS). This study aimed to determine the genetic impact of PRCP gene polymorphisms on essential hypertension (EH) in an isolated population from a remote region of China.

methodsA haplotype-based study was investigated in 346 EH patients and 346 normal subjects and all samples were Hani minority residents in Southwest China. A total of 11 tag single nucleotide polymorphisms (SNPs) in PRCP gene were tested by polymerase chain reaction-restriction fragment length polymorphism method.

resultsSingle site analysis found that PRCP gene 3'UTR SNP rs3750931 was associated with EH. The minor allele G of rs3750931 was more prevalent in the EH patients compared to control subjects after Bonferroni correction (

conclusionThe present study indicated PRCP gene rs3750931 was associated with the risk of EH. This SNP G allele could be considered as one of risk markers for EH in Hani population.

Indexed as

Genetic Predisposition to DiseaseMinority GroupsBlood PressureCarboxypeptidasesChinaEssential HypertensionFemaleGene FrequencyGenetic Association StudiesHaplotypesHumansLinkage DisequilibriumMaleMiddle AgedPolymorphism, Single NucleotideCarboxypeptidaseslysosomal Pro-X carboxypeptidaseEssential hypertensionHani populationPRCPRAAStag SNP

Identifiers

PMID33319614
PMCPMC7745576
OpenAlexW3111922420

What OpenQuestion holds

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LicenceCC BY-NC
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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.