Literature DB >> 22377714

Impact of common type 2 diabetes risk gene variants on future type 2 diabetes in the non-diabetic population in Korea.

Se Eun Park1, Won Young Lee, Ki Won Oh, Ki Hyun Baek, Kun Ho Yoon, Moo Il Kang, Ho Young Son, Won Chul Lee.   

Abstract

We prospectively examined the association between type 2 diabetes mellitus (T2DM) progression and common T2DM-risk gene variants in 870 non-diabetic participants in a Chungju Metabolic Disease Cohort Study in Korea. We genotyped the following six single nucleotide polymorphisms (SNPs): KCNQ1 (potassium voltage-gated channel, KQT-like subfamily member 1) rs2237892, CDKAL1 (regulatory subunit-associated protein 1-like 1) rs7554840, CDKN2A/B (cyclin-dependent kinase inhibitor 2A/B) rs1081161, SCL30A8 (solute carrier family 30 member 8 gene) rs13266634, TCF7L2 (transcription factor 7-like 2) rs7903146, and PPARG (peroxisome proliferator activated receptor gamma) rs1801282. Anthropometric data and metabolic parameters were obtained at baseline and year 4. Pancreatic β cell function was assessed by the homeostasis model assessment index of β cells (HOMA-β). After 4 years, 137 subjects developed T2DM (15.7%). A significant association was found in the variant of KCNQ1 rs2237892, whereas the SNPs of CDKAL1, CDKN2A/B, SCL30A8, TCF7L2 and PPARG were not associated. The C-allele carriers of KCNQ1 conferred a significantly increased risk for T2DM compared with the T/T genotype, independently of clinical risk factors (odds ratio=2.61, 95% confidence intervals=1.02-6.69, P=0.04). Although no differences were observed at baseline among the KCNQ1 variants, HOMA-β levels by year 4 were significantly lower in the C-allele carriers after controlling for metabolic parameters. The genetic variations in KCNQ1 are associated with future development of T2DM in Koreans, which might be mediated by differences in insulin secretory function.

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Year:  2012        PMID: 22377714     DOI: 10.1038/jhg.2012.16

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  5 in total

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Journal:  Acta Physiol (Oxf)       Date:  2022-01-22       Impact factor: 7.523

3.  Efficient Strategy to Identify Gene-Gene Interactions and Its Application to Type 2 Diabetes.

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Journal:  Genomics Inform       Date:  2016-12-30

4.  Association Between Single Nucleotide Polymorphisms in CDKAL1 and HHEX and Type 2 Diabetes in Chinese Population.

Authors:  Chuanyin Li; Keyu Shen; Man Yang; Ying Yang; Wenyu Tao; Siqi He; Li Shi; Yufeng Yao; Yiping Li
Journal:  Diabetes Metab Syndr Obes       Date:  2021-01-05       Impact factor: 3.168

5.  Association of TCF7L2 gene polymorphisms with T2DM in the population of Hyderabad, India.

Authors:  Kommoju Uma Jyothi; Maruda Jayaraj; Kadarkarai Samy Subburaj; Kotla Jaya Prasad; Irgam Kumuda; Velaga Lakshmi; Battini Mohan Reddy
Journal:  PLoS One       Date:  2013-04-05       Impact factor: 3.240

  5 in total

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