Evidence map›Paper›PMID 32656703›Full record

ArticleMolecular genetics and genomics : MGG2020

MTNR1B gene on susceptibility to gestational diabetes mellitus: a two-stage hospital-based study in Southern China.

Yulong Jia, Yi Shen, Xiuying Shi, Xuefeng Gu, Peng Zhang, Yuanlin Liu, Aiyong Zhu, Liying Jiang

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 12 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

8 authors at 3 institutions in 1 country.

Yulong JiaDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Yi ShenDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Xiuying ShiDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Xuefeng GuShanghai Key Laboratory for Molecular Imaging, University of Medicine and Health Sciences, Shanghai, People's Republic of China.
Peng ZhangSchool of Clinical Medicine, University of Medicine and Health Sciences, Shanghai, People's Republic of China.
Yuanlin LiuDepartment of Obstetrics and Gynecology, Nantong University Affiliated Hospital, Nantong, Jiangsu, China.
Aiyong ZhuSchool of Nursing and Health Management, University of Medicine and Health Sciences, Shanghai, People's Republic of China.
Liying JiangShanghai Key Laboratory for Molecular Imaging, University of Medicine and Health Sciences, Shanghai, People's Republic of China. J_meili@126.com.ORCID http://orcid.org/0000-0001-5179-2069
Nantong University · CNShanghai University of Medicine and Health Sciences · CNJiading District Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale studies on genetic risk loci for melatonin receptor 1B (MTNR1B) gene and GDM risk have not been well generalized to the Chinese population. In this study, we performed two-stage case-control study: 1.429 pregnant women: 753 GDM/676 controls in the Southern Chinese population by genotyping 5 SNPs (rs10830963, rs1387153, rs2166706, rs1447352, and rs4753426) in MTNR1B. Genotypes were determined using the Sequenom MassARRAY platform and TaqMan allelic discrimination assay. Interactions between genetic variants and age/BMI as predictors of GDM risk were evaluated under the logistic regression model. In the first stage, the SNP rs10830963 was discovered to be potentially related to GDM risk (additive model: OR = 1.27, 95%CI = 1.05-1.55, P = 0.025), which was further confirmed in the second stage with a similar effect (additive model: OR = 1.53, 95%CI = 1.19-1.98, P = 0.005). In the combined stage, the G allele of rs10830963 was potentially associated with GDM risk (additive model: OR = 1.36, 95%CI = 1.17-1.59, P < 0.001; dominant model: OR = 1.45, 95%CI = 1.15-1.83, P = 0.005). The rs10830963 interacted with age and BMI to contribute to GDM risk in the combined participants. And, the similar interactive effects for the other four SNPs also exist. These findings offer the potential to improve our understanding of the etiology of GDM, and particularly of biological mechanisms.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAsian PeopleCase-Control StudiesChinaDiabetes, GestationalFemaleGenetic Association StudiesGenotypeHumansPregnancyReceptor, Melatonin, MT2Receptor, Melatonin, MT2Gestational diabetes mellitusMelatonin receptor 1B geneSingle nucleotide polymorphismSusceptibility

Identifiers

PMID32656703
OpenAlexW3041303005

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Registered trials

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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.