Evidence map›Paper›PMID 31658356›Full record

ArticleBioscience reports2019

Investigation of the association between obesity and insulin-induced gene 1 polymorphism at 7q36.3 region in Uygur population in Xinjiang, China.

Jing Tao, Mayila Abudoukelimu, Xin Shen, Jun Liu, Feng-Xia Wang, Jie Yuan, Pei-Pei Gu, Wei Zhu, Xiao-Tian Zhang, Zhao Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

12 authors at 3 institutions in 1 country.

Jing TaoPeople's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Mayila AbudoukelimuXinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, Xinjiang, China.
Xin ShenPeople's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Jun LiuPeople's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Feng-Xia WangPeople's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Jie YuanPeople's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Pei-Pei GuPeople's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Wei ZhuPeople's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Xiao-Tian ZhangPeople's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Zhao WangPeople's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Yi-Tong MaXinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, Xinjiang, China.
Guo-Qing LiPeople's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
People's Hospital of Xinjiang Uygur Autonomous Region · CNXinjiang Medical University · CNXinjiang Uygur Autonomous Region Disease Prevention and Control Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a common heritable trait and a major risk factors of chronic and metabolic diseases. Insulin-induced gene 1 (INSIG1) is known to play important roles in cholesterol and triacylglycerol (TAG) metabolism. In the present study, our primary objective was to explore whether the single nucleotide polymorphisms (SNPs) in INSIG1 gene were associated with obesity in Uygur subjects, in Xinjiang, China.

methodsWe designed a case-control study including 516 obese patients and 463 age- and sex-matched control subjects. Three SNPs (rs2721, rs9767875 and rs9719268) were genotyped using TaqMan SNP genotyping assays.

resultsFor rs2721, the distribution of genotypes, dominant model (GT + TT vs GG), recessive model (TT vs GT + GG) showed significant differences between obese patients and the controls (P = 0.008, P = 0.005 and P = 0.035, respectively). For rs9719268, the distribution of genotypes showed significant differences between obese patients and the controls (P = 0.004). The dominant model (GT + TT vs GG) of rs2721 and rs9719268 GT genotype remain significantly associated with obesity after adjustment for confounders (OR = 1.393, 95% CI = 1.047-1.853, P = 0.023; OR = 1.631, 95% CI = 1.059-2.512, P = 0.026). The TG levels were significantly higher in rs2721 GT/TT genotypes than that in GG genotypes (P<0.05).

conclusionsRs2721 and rs9719268 of INSIG1 gene are associated with obesity in Uygur subjects. Subjects with GT/TT genotype or T allele of rs2721 and GT genotype of rs9719268 were associated with an increased risk of obesity.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAdultAllelesChinaFemaleHaplotypesHumansInsulinIntracellular Signaling Peptides and ProteinsMaleMembrane ProteinsMiddle AgedObesityPolymorphism, Single NucleotideINSIG1 protein, humanInsulinIntracellular Signaling Peptides and ProteinsMembrane ProteinsINSIG1 geneobesitypolymorphismsusceptibility

Identifiers

PMID31658356
PMCPMC6893165
OpenAlexW2982626594

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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.