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PPARG, KCNJ11, CDKAL1, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGF2BP2 and SLC30A8 are associated with type 2 diabetes in a Chinese population

PloS one, 2009-10, Vol.4 (10), p.e7643-e7643 [Peer Reviewed Journal]

COPYRIGHT 2009 Public Library of Science ;2009 Hu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Hu et al. 2009 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0007643 ;PMID: 19862325

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Title:
PPARG, KCNJ11, CDKAL1, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGF2BP2 and SLC30A8 are associated with type 2 diabetes in a Chinese population
Author: Hu, Cheng ; Zhang, Rong ; Wang, Congrong ; Wang, Jie ; Ma, Xiaojing ; Lu, Jingyi ; Qin, Wen ; Hou, Xuhong ; Wang, Chen ; Bao, Yuqian ; Xiang, Kunsan ; Jia, Weiping
Zhang, Cuilin
Subjects: Age ; Aged ; Alleles ; Body mass index ; Cation Transport Proteins - biosynthesis ; China ; Chromosomes ; Cyclin-Dependent Kinase 5 - biosynthesis ; Cyclin-Dependent Kinase Inhibitor p15 - biosynthesis ; Cyclin-Dependent Kinase Inhibitor p16 - biosynthesis ; Dextrose ; Diabetes ; Diabetes and Endocrinology ; Diabetes and Endocrinology/Type 2 Diabetes ; Diabetes mellitus ; Diabetes Mellitus, Type 2 - ethnology ; Diabetes Mellitus, Type 2 - metabolism ; Diagnostic systems ; Empirical analysis ; Endocrinology ; Female ; Gene Expression Regulation ; Genes ; Genetic aspects ; Genetics and Genomics/Complex Traits ; Genomes ; Glucose ; Glucose metabolism ; Glucose tolerance ; Health risks ; Homeodomain Proteins - biosynthesis ; Humans ; Insulin ; Insulin resistance ; Insulysin - biosynthesis ; Kinesin - biosynthesis ; Loci ; Male ; Metabolism ; Middle age ; Middle Aged ; Obesity ; Peroxisome proliferator-activated receptors ; Physiological aspects ; Plasma ; Polymorphism, Single Nucleotide ; Population ; Potassium Channels, Inwardly Rectifying - biosynthesis ; PPAR gamma - biosynthesis ; Prediction models ; Regression analysis ; Risk ; RNA-Binding Proteins - biosynthesis ; Single nucleotide polymorphisms ; Single-nucleotide polymorphism ; Studies ; Thyroid gland ; Transcription Factors - biosynthesis ; tRNA Methyltransferases ; Tumors ; Type 2 diabetes ; Zinc Transporter 8
Is Part Of: PloS one, 2009-10, Vol.4 (10), p.e7643-e7643
Description: Recent advance in genetic studies added the confirmed susceptible loci for type 2 diabetes to eighteen. In this study, we attempt to analyze the independent and joint effect of variants from these loci on type 2 diabetes and clinical phenotypes related to glucose metabolism. Twenty-one single nucleotide polymorphisms (SNPs) from fourteen loci were successfully genotyped in 1,849 subjects with type 2 diabetes and 1,785 subjects with normal glucose regulation. We analyzed the allele and genotype distribution between the cases and controls of these SNPs as well as the joint effects of the susceptible loci on type 2 diabetes risk. The associations between SNPs and type 2 diabetes were examined by logistic regression. The associations between SNPs and quantitative traits were examined by linear regression. The discriminative accuracy of the prediction models was assessed by area under the receiver operating characteristic curves. We confirmed the effects of SNPs from PPARG, KCNJ11, CDKAL1, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGF2BP2 and SLC30A8 on risk for type 2 diabetes, with odds ratios ranging from 1.114 to 1.406 (P value range from 0.0335 to 1.37E-12). But no significant association was detected between SNPs from WFS1, FTO, JAZF1, TSPAN8-LGR5, THADA, ADAMTS9, NOTCH2-ADAM30 and type 2 diabetes. Analyses on the quantitative traits in the control subjects showed that THADA SNP rs7578597 was association with 2-h insulin during oral glucose tolerance tests (P = 0.0005, empirical P = 0.0090). The joint effect analysis of SNPs from eleven loci showed the individual carrying more risk alleles had a significantly higher risk for type 2 diabetes. And the type 2 diabetes patients with more risk allele tended to have earlier diagnostic ages (P = 0.0006). The current study confirmed the association between PPARG, KCNJ11, CDKAL1, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGF2BP2 and SLC30A8 and type 2 diabetes. These type 2 diabetes risk loci contributed to the disease additively.
Publisher: United States: Public Library of Science
Language: English
Identifier: ISSN: 1932-6203
EISSN: 1932-6203
DOI: 10.1371/journal.pone.0007643
PMID: 19862325
Source: Public Library of Science (PLoS) Journals Open Access
GFMER Free Medical Journals
MEDLINE
PubMed Central
ProQuest Central
DOAJ Directory of Open Access Journals

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PPARG, KCNJ11, CDKAL1, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGF2BP2 and SLC30A8 are associated with type 2 diabetes in a Chinese population

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