Evidence map›Paper›PMID 26741812›Full record

ArticleGenetic testing and molecular biomarkers2016

Analysis of the Relationship Between ADIPOR1 Variants and the Susceptibility of Chronic Metabolic Diseases in a Northeast Han Chinese Population.

Fengling Wang, Shuzhen Suo, Liang Sun, Jun Yang, Fan Yang, Chengxiao Zhao, Xuejie Li, Ludan Yuan, Shuqian Yu, Tao Qi and 7 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetic testing and molecular biomarkers, 2016. 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
0.7field-weighted citation impact, top 30% 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

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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, 4 citations in OpenAlex.

  1. Review
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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

17 authors at 3 institutions in 1 country.

Fengling Wang1 The Key Laboratory of Geriatrics, Beijing Hospital & Beijing Institute of Geriatrics , Chinese Ministry of Health, Beijing, China .
Shuzhen Suo1 The Key Laboratory of Geriatrics, Beijing Hospital & Beijing Institute of Geriatrics , Chinese Ministry of Health, Beijing, China .
Liang Sun1 The Key Laboratory of Geriatrics, Beijing Hospital & Beijing Institute of Geriatrics , Chinese Ministry of Health, Beijing, China .
Jun Yang4 Department of Cardiology, the First Affiliated Hospital of Jiamusi University , Jiamusi, China .
Fan Yang1 The Key Laboratory of Geriatrics, Beijing Hospital & Beijing Institute of Geriatrics , Chinese Ministry of Health, Beijing, China .
Chengxiao Zhao1 The Key Laboratory of Geriatrics, Beijing Hospital & Beijing Institute of Geriatrics , Chinese Ministry of Health, Beijing, China .
Xuejie Li3 Clinical Medical School, Jiamusi University , Jiamusi, China .
Ludan Yuan3 Clinical Medical School, Jiamusi University , Jiamusi, China .
Shuqian Yu3 Clinical Medical School, Jiamusi University , Jiamusi, China .
Tao Qi3 Clinical Medical School, Jiamusi University , Jiamusi, China .
Xiaoquan Zhu1 The Key Laboratory of Geriatrics, Beijing Hospital & Beijing Institute of Geriatrics , Chinese Ministry of Health, Beijing, China .
Huiping Yuan1 The Key Laboratory of Geriatrics, Beijing Hospital & Beijing Institute of Geriatrics , Chinese Ministry of Health, Beijing, China .
Zening Jin5 Department of Emergency Medicine, Anzhen Hospital, Capital Medical University , Beijing Institute of Heart Lung and Blood Vessels, Beijing, China .
Lianmei Pu5 Department of Emergency Medicine, Anzhen Hospital, Capital Medical University , Beijing Institute of Heart Lung and Blood Vessels, Beijing, China .
Deping Liu1 The Key Laboratory of Geriatrics, Beijing Hospital & Beijing Institute of Geriatrics , Chinese Ministry of Health, Beijing, China .
Xiaofang Sui2 Department of Geriatrics, the First Affiliated Hospital of Jiamusi University , Jiamusi, China .
Ze Yang1 The Key Laboratory of Geriatrics, Beijing Hospital & Beijing Institute of Geriatrics , Chinese Ministry of Health, Beijing, China .
Jiamusi University · CNBeijing Anzhen Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveShared genetic variants in ADIPOR1 have been identified as closely related to coronary artery disease (CAD), type 2 diabetes (T2D), and T2D with CAD susceptibility, suggesting that these variants are strong candidates for the common soil hypothesis. Therefore, it is essential to analyze the relationship between ADIPOR1 variants and the susceptibility to CAD, T2D, and T2D with CAD in other populations. MATERIALS AND

methodsA case-control study was conducted which included three case cohorts [CAD (n = 316), T2D (n = 295), T2D with CAD (n = 302)], and a control cohort (n = 268) from a population in northeast China. Six ADIPOR1 single-nucleotide polymorphisms were genotyped by high-resolution melting and polymerase chain reaction-restriction fragment length polymorphism.

resultsWe confirmed that the shared variant, rs3737884*G, in ADIPOR1 is associated with CAD, T2D, and T2D with CAD (p-value range: 6.54E-6-1.82E-5, odds ratio [OR] range: 1.770-1.844) and that rs16850797*C is associated with T2D and T2D with CAD (p-value range: 0.001-0.001, OR range: 1.529-1.571). We also found that a novel shared variant, rs7514221*C, is associated with an increased susceptibility to CAD, T2D, and T2D with CAD (p-value range: 0.002-0.004, OR range: 1.194-2.382) in this population.

conclusionsADPOR1 variants, rs3737884*G and rs7514221*C, may be shared risk factors associated with CAD, T2D, and T2D with CAD in a population of northeast China.

Indexed as

Genetic Predisposition to DiseaseAsian PeopleCase-Control StudiesChinaCoronary Artery DiseaseDiabetes Mellitus, Type 2FemaleHumansMalePolymorphism, Single NucleotideReceptors, AdiponectinADIPOR1 protein, humanReceptors, Adiponectin

Identifiers

PMID26741812
PMCPMC4761852
OpenAlexW2224524441

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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.