Evidence map›Paper›PMID 30907055›Full record

ArticleJournal of diabetes2019

Effects of variants of 50 genes on diabetes risk among the Chinese population born in the early 1960s.

Chao Song, Meng Wang, Hongyun Fang, Weiyan Gong, Deqian Mao, Caicui Ding, Qiqi Fu, Ganyu Feng, Zheng Chen, Yanning Ma and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 7 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

12 authors at 1 institution in 1 country.

Chao SongChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.ORCID https://orcid.org/0000-0002-8109-4656
Meng WangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Hongyun FangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Weiyan GongChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Deqian MaoChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Caicui DingChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Qiqi FuChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Ganyu FengChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Zheng ChenChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Yanning MaChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Yecheng YaoChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Ailing LiuChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Chinese Center For Disease Control and Prevention · CN

Funding

National Natural Science Foundation of China 81372990
6 · The paper itself

Abstract

backgroundGenome-wide association studies have identified loci that significantly increase diabetes risk. This study explored the genetic susceptibility in relation to diabetes risk in adulthood among a Chinese population born in the early 1960s.

methodsIn all, 2129 subjects (833 males, 1296 females) were selected from the cross-sectional 2010 to 2012 China National Nutrition and Health Survey. Fifty diabetes-related single nucleotide polymorphisms (SNPs) were detected. Two diabetes genetic risk scores (GRSs) based on the 50 diabetes-predisposing variants were developed to examine the association of these SNPs with diabetes risk.

resultsAssociations were found between diabetes risk and SNPs in the MTNR1B (rs10830963), KLHDC5 (rs10842994), GRK5 (rs10886471), cyclindependentkinase 5 regulatory subunit associated protein 1 (rs10946398), adaptorrelated protein complex 3 subunit sigma 2 (rs2028299), diacylglycerol kinase beta/transmembrane protein 195 (rs2191349), SREBF chaperone (rs4858889), ankyrin1 (rs516946), RAS guanyl releasing protein 1 (rs7403531), and zinc finger AN1-type containing 3 (rs9470794) genes. As a continuous variable, with a 1-point increase in the GRS or weighted (w) GRS, fasting plasma glucose (FPG) increased 0.045 and 0.044 mM, respectively (P < 0.001 for both), after adjusting for confounders. Both GRS and wGRS showed an association with diabetes, with a multivariable-adjusted odds ratio (95% confidence interval) of 1.09 (1.00-1.19) and 1.12 (1.03-1.22), respectively, among all subjects. No significant associations were found between the GRS or wGRS and impaired fasting glucose or impaired glucose tolerance.

conclusionsThe data suggest the association of 10 SNPs and the GRS or wGRS with diabetes risk. Genetic susceptibility to diabetes may synergistically affect the risk of diabetes in adulthood.

Indexed as

Genetic MarkersGenome-Wide Association StudyPolymorphism, Single NucleotideAdultAgedAsian PeopleBiomarkersChinaCross-Sectional StudiesDiabetes MellitusFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenotypeHumansMaleBiomarkersGenetic Markersdiabetesgenetic susceptibilitysingle nucleotide polymorphism单核苷酸多态性基因易感性糖尿病

Identifiers

PMID30907055
PMCPMC6850447
OpenAlexW2941627417

What OpenQuestion holds

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LicenceCC BY
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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.