Obesity-related genomic loci are associated with type 2 diabetes in a han Chinese population

Xiaomu Kong, Xuelian Zhang, Qi Zhao, Jiang He, Li Chen, Zhigang Zhao, Qiang Li, Jiapu Ge, Gang Chen, Xiaohui Guo, Juming Lu, Jianping Weng, Weiping Jia, Linong Ji, Jianzhong Xiao, Zhongyan Shan, Jie Liu, Haoming Tian, Qiuhe Ji, Dalong Zhu & 3 others Zhiguang Zhou, Guangliang Shan, Wenying Yang

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Background and Aims: Obesity is a well-known risk factor for type 2 diabetes. Genome-wide association studies have identified a number of genetic loci associated with obesity. The aim of this study is to examine the contribution of obesity-related genomic loci to type 2 diabetes in a Chinese population. Methods: We successfully genotyped 18 obesity-related single nucleotide polymorphisms among 5338 type 2 diabetic patients and 4663 controls. Both individual and joint effects of these single nucleotide polymorphisms on type 2 diabetes and quantitative glycemic traits (assessing β-cell function and insulin resistance) were analyzed using logistic and linear regression models, respectively. Results: Two single nucleotide polymorphisms near MC4R and GNPDA2 genes were significantly associated with type 2 diabetes before adjusting for body mass index and waist circumference (OR (95% CI) = 1.14 (1.06, 1.22) for the A allele of rs12970134, P = 4.75×10-4; OR (95% CI) = 1.10 (1.03, 1.17) for the G allele of rs10938397, P = 4.54×10-3). When body mass index and waist circumference were further adjusted, the association of MC4R with type 2 diabetes remained significant (P = 1.81×10-2) and that of GNPDA2 was attenuated (P = 1.26×10-1), suggesting the effect of the locus including GNPDA2 on type 2 diabetes may be mediated through obesity. Single nucleotide polymorphism rs2260000 within BAT2 was significantly associated with type 2 diabetes after adjusting for body mass index and waist circumference (P = 1.04×10-2). In addition, four single nucleotide polymorphisms (near or within SEC16B, BDNF, MAF and PRL genes) showed significant associations with quantitative glycemic traits in controls even after adjusting for body mass index and waist circumference (all P values<0.05). Conclusions: This study indicates that obesity-related genomic loci were associated with type 2 diabetes and glycemic traits in the Han Chinese population.

Original languageEnglish (US)
Article numbere104486
JournalPloS one
Volume9
Issue number8
DOIs
StatePublished - Aug 5 2014

Fingerprint

Medical problems
noninsulin-dependent diabetes mellitus
Type 2 Diabetes Mellitus
obesity
Obesity
genomics
Polymorphism
loci
single nucleotide polymorphism
waist circumference
Single Nucleotide Polymorphism
Waist Circumference
Nucleotides
Population
body mass index
Body Mass Index
Genes
Linear Models
Alleles
alleles

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Obesity-related genomic loci are associated with type 2 diabetes in a han Chinese population. / Kong, Xiaomu; Zhang, Xuelian; Zhao, Qi; He, Jiang; Chen, Li; Zhao, Zhigang; Li, Qiang; Ge, Jiapu; Chen, Gang; Guo, Xiaohui; Lu, Juming; Weng, Jianping; Jia, Weiping; Ji, Linong; Xiao, Jianzhong; Shan, Zhongyan; Liu, Jie; Tian, Haoming; Ji, Qiuhe; Zhu, Dalong; Zhou, Zhiguang; Shan, Guangliang; Yang, Wenying.

In: PloS one, Vol. 9, No. 8, e104486, 05.08.2014.

Research output: Contribution to journalArticle

Kong, X, Zhang, X, Zhao, Q, He, J, Chen, L, Zhao, Z, Li, Q, Ge, J, Chen, G, Guo, X, Lu, J, Weng, J, Jia, W, Ji, L, Xiao, J, Shan, Z, Liu, J, Tian, H, Ji, Q, Zhu, D, Zhou, Z, Shan, G & Yang, W 2014, 'Obesity-related genomic loci are associated with type 2 diabetes in a han Chinese population', PloS one, vol. 9, no. 8, e104486. https://doi.org/10.1371/journal.pone.0104486
Kong, Xiaomu ; Zhang, Xuelian ; Zhao, Qi ; He, Jiang ; Chen, Li ; Zhao, Zhigang ; Li, Qiang ; Ge, Jiapu ; Chen, Gang ; Guo, Xiaohui ; Lu, Juming ; Weng, Jianping ; Jia, Weiping ; Ji, Linong ; Xiao, Jianzhong ; Shan, Zhongyan ; Liu, Jie ; Tian, Haoming ; Ji, Qiuhe ; Zhu, Dalong ; Zhou, Zhiguang ; Shan, Guangliang ; Yang, Wenying. / Obesity-related genomic loci are associated with type 2 diabetes in a han Chinese population. In: PloS one. 2014 ; Vol. 9, No. 8.
@article{04c83cfe3fcd4337b5c2d9ded4cb6445,
title = "Obesity-related genomic loci are associated with type 2 diabetes in a han Chinese population",
abstract = "Background and Aims: Obesity is a well-known risk factor for type 2 diabetes. Genome-wide association studies have identified a number of genetic loci associated with obesity. The aim of this study is to examine the contribution of obesity-related genomic loci to type 2 diabetes in a Chinese population. Methods: We successfully genotyped 18 obesity-related single nucleotide polymorphisms among 5338 type 2 diabetic patients and 4663 controls. Both individual and joint effects of these single nucleotide polymorphisms on type 2 diabetes and quantitative glycemic traits (assessing β-cell function and insulin resistance) were analyzed using logistic and linear regression models, respectively. Results: Two single nucleotide polymorphisms near MC4R and GNPDA2 genes were significantly associated with type 2 diabetes before adjusting for body mass index and waist circumference (OR (95{\%} CI) = 1.14 (1.06, 1.22) for the A allele of rs12970134, P = 4.75×10-4; OR (95{\%} CI) = 1.10 (1.03, 1.17) for the G allele of rs10938397, P = 4.54×10-3). When body mass index and waist circumference were further adjusted, the association of MC4R with type 2 diabetes remained significant (P = 1.81×10-2) and that of GNPDA2 was attenuated (P = 1.26×10-1), suggesting the effect of the locus including GNPDA2 on type 2 diabetes may be mediated through obesity. Single nucleotide polymorphism rs2260000 within BAT2 was significantly associated with type 2 diabetes after adjusting for body mass index and waist circumference (P = 1.04×10-2). In addition, four single nucleotide polymorphisms (near or within SEC16B, BDNF, MAF and PRL genes) showed significant associations with quantitative glycemic traits in controls even after adjusting for body mass index and waist circumference (all P values<0.05). Conclusions: This study indicates that obesity-related genomic loci were associated with type 2 diabetes and glycemic traits in the Han Chinese population.",
author = "Xiaomu Kong and Xuelian Zhang and Qi Zhao and Jiang He and Li Chen and Zhigang Zhao and Qiang Li and Jiapu Ge and Gang Chen and Xiaohui Guo and Juming Lu and Jianping Weng and Weiping Jia and Linong Ji and Jianzhong Xiao and Zhongyan Shan and Jie Liu and Haoming Tian and Qiuhe Ji and Dalong Zhu and Zhiguang Zhou and Guangliang Shan and Wenying Yang",
year = "2014",
month = "8",
day = "5",
doi = "10.1371/journal.pone.0104486",
language = "English (US)",
volume = "9",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "8",

}

TY - JOUR

T1 - Obesity-related genomic loci are associated with type 2 diabetes in a han Chinese population

AU - Kong, Xiaomu

AU - Zhang, Xuelian

AU - Zhao, Qi

AU - He, Jiang

AU - Chen, Li

AU - Zhao, Zhigang

AU - Li, Qiang

AU - Ge, Jiapu

AU - Chen, Gang

AU - Guo, Xiaohui

AU - Lu, Juming

AU - Weng, Jianping

AU - Jia, Weiping

AU - Ji, Linong

AU - Xiao, Jianzhong

AU - Shan, Zhongyan

AU - Liu, Jie

AU - Tian, Haoming

AU - Ji, Qiuhe

AU - Zhu, Dalong

AU - Zhou, Zhiguang

AU - Shan, Guangliang

AU - Yang, Wenying

PY - 2014/8/5

Y1 - 2014/8/5

N2 - Background and Aims: Obesity is a well-known risk factor for type 2 diabetes. Genome-wide association studies have identified a number of genetic loci associated with obesity. The aim of this study is to examine the contribution of obesity-related genomic loci to type 2 diabetes in a Chinese population. Methods: We successfully genotyped 18 obesity-related single nucleotide polymorphisms among 5338 type 2 diabetic patients and 4663 controls. Both individual and joint effects of these single nucleotide polymorphisms on type 2 diabetes and quantitative glycemic traits (assessing β-cell function and insulin resistance) were analyzed using logistic and linear regression models, respectively. Results: Two single nucleotide polymorphisms near MC4R and GNPDA2 genes were significantly associated with type 2 diabetes before adjusting for body mass index and waist circumference (OR (95% CI) = 1.14 (1.06, 1.22) for the A allele of rs12970134, P = 4.75×10-4; OR (95% CI) = 1.10 (1.03, 1.17) for the G allele of rs10938397, P = 4.54×10-3). When body mass index and waist circumference were further adjusted, the association of MC4R with type 2 diabetes remained significant (P = 1.81×10-2) and that of GNPDA2 was attenuated (P = 1.26×10-1), suggesting the effect of the locus including GNPDA2 on type 2 diabetes may be mediated through obesity. Single nucleotide polymorphism rs2260000 within BAT2 was significantly associated with type 2 diabetes after adjusting for body mass index and waist circumference (P = 1.04×10-2). In addition, four single nucleotide polymorphisms (near or within SEC16B, BDNF, MAF and PRL genes) showed significant associations with quantitative glycemic traits in controls even after adjusting for body mass index and waist circumference (all P values<0.05). Conclusions: This study indicates that obesity-related genomic loci were associated with type 2 diabetes and glycemic traits in the Han Chinese population.

AB - Background and Aims: Obesity is a well-known risk factor for type 2 diabetes. Genome-wide association studies have identified a number of genetic loci associated with obesity. The aim of this study is to examine the contribution of obesity-related genomic loci to type 2 diabetes in a Chinese population. Methods: We successfully genotyped 18 obesity-related single nucleotide polymorphisms among 5338 type 2 diabetic patients and 4663 controls. Both individual and joint effects of these single nucleotide polymorphisms on type 2 diabetes and quantitative glycemic traits (assessing β-cell function and insulin resistance) were analyzed using logistic and linear regression models, respectively. Results: Two single nucleotide polymorphisms near MC4R and GNPDA2 genes were significantly associated with type 2 diabetes before adjusting for body mass index and waist circumference (OR (95% CI) = 1.14 (1.06, 1.22) for the A allele of rs12970134, P = 4.75×10-4; OR (95% CI) = 1.10 (1.03, 1.17) for the G allele of rs10938397, P = 4.54×10-3). When body mass index and waist circumference were further adjusted, the association of MC4R with type 2 diabetes remained significant (P = 1.81×10-2) and that of GNPDA2 was attenuated (P = 1.26×10-1), suggesting the effect of the locus including GNPDA2 on type 2 diabetes may be mediated through obesity. Single nucleotide polymorphism rs2260000 within BAT2 was significantly associated with type 2 diabetes after adjusting for body mass index and waist circumference (P = 1.04×10-2). In addition, four single nucleotide polymorphisms (near or within SEC16B, BDNF, MAF and PRL genes) showed significant associations with quantitative glycemic traits in controls even after adjusting for body mass index and waist circumference (all P values<0.05). Conclusions: This study indicates that obesity-related genomic loci were associated with type 2 diabetes and glycemic traits in the Han Chinese population.

UR - http://www.scopus.com/inward/record.url?scp=84905641355&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84905641355&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0104486

DO - 10.1371/journal.pone.0104486

M3 - Article

VL - 9

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 8

M1 - e104486

ER -