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Small Ubiquitin-Like Modifier 4 (SUMO4) Gene M55V Polymorphism and Type 2 Diabetes Mellitus: A Meta-analysis Including 6,823 Subjects

Overview of attention for article published in Frontiers in endocrinology, November 2017
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Title
Small Ubiquitin-Like Modifier 4 (SUMO4) Gene M55V Polymorphism and Type 2 Diabetes Mellitus: A Meta-analysis Including 6,823 Subjects
Published in
Frontiers in endocrinology, November 2017
DOI 10.3389/fendo.2017.00303
Pubmed ID
Authors

Yan-yan Li, Hui Wang, Xin-xing Yang, Hong-yu Geng, Ge Gong, Hyun Jun Kim, Yan-hong Zhou, Jing-jing Wu

Abstract

Many studies suggest that the small ubiquitin-like modifier 4 (SUMO4) M55V gene polymorphism (rs237025) may be associated with an increased risk of type 2 diabetes mellitus (T2DM). However, due to other conflicting results, a clear consensus is lacking in the matter. A meta-analysis consisting of 6,823 subjects from 10 studies was conducted to elucidate relationship between the SUMO4 M55V gene polymorphism and T2DM. Depending on the heterogeneity of the data, either a fixed or random-effects model would be used to assess the combined odds ratio (ORs) and their corresponding 95% confidence interval (CI). SUMO4 gene M55V polymorphism was significantly associated with T2DM in the whole population under allelic (OR: 1.18, 95% CI: 1.10-1.28, P = 1.63 × 10(-5)), recessive (OR: 1.59, 95% CI: 1.14-2.23, P = 0.006), dominant (OR: 0.815, 95% CI: 0.737-0.901, P = 6.89 × 10(-5)), homozygous (OR: 1.415, 95% CI: 1.170-1.710, P = 0.0003), heterozygous (OR: 1.191, 95% CI: 1.072-1.323, P = 0.001), and additive genetic models (OR: 1.184, 95% CI: 1.097-1.279, P = 1.63 × 10(-5)). In our subgroup analysis, a significant association was found again in the Chinese population, but not in Japanese or Iranian population. SUMO4 gene M55V polymorphism may correlate with increased T2DM risk. Chinese carriers of the V allele of the SUMO4 gene M55V polymorphism may be predisposed to developing T2DM.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Doctoral Student 2 13%
Student > Bachelor 2 13%
Lecturer 1 7%
Professor 1 7%
Other 3 20%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 47%
Medicine and Dentistry 4 27%
Nursing and Health Professions 1 7%
Unspecified 1 7%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 November 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Frontiers in endocrinology
#8,338
of 13,021 outputs
Outputs of similar age
#299,374
of 340,903 outputs
Outputs of similar age from Frontiers in endocrinology
#79
of 114 outputs
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