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Association between polymorphisms in SLC15A1 and PLA2G16 genes and development of obesity in Chinese subjects

Authors Wang CY, Liu S, Xie XN, Luo ZY, Yang L, Tan ZR

Received 7 January 2018

Accepted for publication 7 May 2018

Published 22 August 2018 Volume 2018:11 Pages 439—446

DOI https://doi.org/10.2147/DMSO.S161808

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Andrew Yee

Peer reviewer comments 3

Editor who approved publication: Professor Ming-Hui Zou


Chun-Yang Wang,1,2 Shu Liu,1,2 Xiao-Nv Xie,1,2 Zhi-Ying Luo,1,2 Li Yang,1,2 Zhi-Rong Tan1,2

1Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, People’s Republic of China; 2Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, People’s Republic of China

Introduction: The small peptide transporter 1 (PepT-1) and adipose phospholipase A2 (AdPLA) play a key role in the development of obesity. However, there are no data assessing the impact of PepT-1 (SLC15A1) and AdPLA (PLA2G16) variants on obesity susceptibility. Therefore, we assessed the contribution of 9 single-nucleotide polymorphisms (SNPs) between these two genes on obesity susceptibility in Chinese subjects.
Materials and methods: A total of 611 participants were enrolled in the study, and 9 SNPs in the SLC15A1 and PLA2G16 genes were selected. Blood samples were collected for genotyping. Overweight and obesity were established by body mass index. Regression analyses were performed to test for any association of genetic polymorphisms with weight abnormality.
Results: The genotype frequencies (P=0.04 for rs9557029, P=0.027 for rs1289389) were significantly different between obese or overweight subjects and healthy controls. However, no significant difference in allele was found between these three groups (P>0.05). Further logistic regression analyses adjusted for age and sex also failed to reveal significant associations between overweight, obesity, and the selected SNPs (P>0.05).
Conclusion: Data indicate that the selected 9 SNPs in SLC15A1 and PLA2G16 genes were not related to obesity susceptibility in the Han Chinese population.

Keywords: obesity, BMI, Chinese subjects, genotyping, SNPs

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