Evidence map›Paper›PMID 33203726›Full record

ArticleBMJ open diabetes research & care2020

Analysis of the interaction effect of 48 SNPs and obesity on type 2 diabetes in Chinese Hans.

Jia Liu, Lu Wang, Yun Qian, Qian Shen, Hai Chen, Hongxia Ma, Juncheng Dai, Chong Shen, Guangfu Jin, Zhibin Hu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 20% 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, 13 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Jia LiuDepartment of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi, China.
Lu WangDepartment of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi, China.
Yun QianDepartment of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi, China wxqianyun111@sina.com.ORCID 0000-0002-7921-6407
Qian ShenDepartment of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi, China.
Hai ChenDepartment of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi, China.
Hongxia MaDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Juncheng DaiDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Chong ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Guangfu JinDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Zhibin HuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Hongbing ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBoth environmental and genetic factors contribute to type 2 diabetes (T2D) risk. Dozens of T2D susceptibility loci have been identified by genome-wide association study. However, these loci account for only a small fraction of the familial T2D risk. We hypothesized that the gene-obesity interaction may contribute to the missing heritability. RESEARCH DESIGN AND

methodForty-eight T2D-associated variants were genotyped using the TaqMan OpenArray Genotyping System and iPLEX Sequenom MassARRAY platform in two separate studies. Obesity was defined according to multiple indexes (body mass index (BMI), waist circumference and waist-hip ratio). Multiplicative interactions were tested using general logistic regression to assess the gene-obesity interaction effect on T2D risk among a total of 6206 Chinese Hans.

resultsAfter adjusting for the main effects of genes and obesity, as well as covariates (age, sex, smoking and alcohol consumption status), robust multiplicative interaction effects were observed between rs10811661 in

conclusionOur findings indicated that the

Indexed as

Diabetes Mellitus, Type 2ObesityPolymorphism, Single NucleotideChinaGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansdiabetes mellitusgeneticsobesitytype 2

Identifiers

PMID33203726
PMCPMC7674088
OpenAlexW3103239643

What OpenQuestion holds

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LicenceCC BY-NC
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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.