Evidence map›Paper›PMID 25104270›Full record

ArticleEndocrine2014

Polymorphisms in NR3C1 gene associated with risk of metabolic syndrome in a Chinese population.

Yu-Xiang Yan, Jing Dong, Jie Zhang, Fen Liu, Wei Wang, Ling Zhang, Yan He

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Familial Linkage and Association of theInternational journal of molecular sciences · 2022
    Article
  3. Cells · 2021
    Article
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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 1 institution in 1 country.

Yu-Xiang YanDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, You An Men, 100069, Beijing, China.
Jing Dong
Jie Zhang
Fen Liu
Wei Wang
Ling Zhang
Yan He
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymorphisms of the NR3C1 (glucocorticoid receptor) gene have been reported to be associated with altered glucocorticoids sensitivity and changes in body composition and metabolic parameters. This study explored the relationship between single nucleotide polymorphisms (SNPs) of the NR3C1 gene and metabolic syndrome (MetS) in a Chinese population. Fourteen tag-SNPs and five functionally important SNPs in the NR3C1 gene were genotyped in MetS patients (n = 431) and normal controls (n = 461) using the high-throughput Sequenom genotyping platform. Genotype, allelic and haplotype associations were examined using logistic regression and Haploview. There are four SNPs significantly associated with MetS. The T allele of rs2963156 was associated with an increased risk effect for MetS (adjusted OR = 1.66, 95 % CI 1.25-2.22, P = 0.001). By contrast, rs10052957 A allele carriers were significantly associated with a decreased risk of MetS (adjusted OR = 0.58, 95 % CI 0.42-0.80, P = 0.001). Rs41423247 GG genotype (adjusted OR = 2.01, 95 % CI 1.25-3.22, P = 0.004), and rs7701443 AA genotype (adjusted OR = 1.88, 95 % CI 1.24-2.83, P = 0.003) were significantly associated with an increased risk of MetS. Haplotype CGGA is risk conferring (adjusted OR = 1.53, 95 % CI 1.06-2.20, P = 0.023), whereas haplotype CCAG was protective (adjusted OR = 0.30, 95 % CI 0.20-0.47, P < 0.001). Polymorphism of NR3C1 gene is associated with MetS and may contribute to the susceptibility of MetS.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAgedAllelesAsian PeopleCase-Control StudiesChinaFemaleGenotypeHaplotypesHumansMaleMetabolic SyndromeMiddle AgedReceptors, GlucocorticoidNR3C1 protein, humanReceptors, Glucocorticoid

Identifiers

PMID25104270
OpenAlexW2058255698

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.