Literature DB >> 21318467

Glucokinase regulatory protein (GCKR) gene rs4425043 polymorphism is associated with overweight and obesity in Chinese women.

Feifei Cao1, Xiaofeng Wang, Ming Lu, Yajun Yang, Yu An, Juan Zhang, Xingdong Chen, Lei Li, Shuyuan Li, Jie Jiang, Weimin Ye, Li Jin.   

Abstract

The aim of this study was to investigate the effects of GCKR polymorphism on the prevalence of overweight and obesity in Chinese female subjects using a gene-wide tagging- single nucleotide polymorphism (tSNP) strategy. We conducted a genetic association study in the Taizhou Retiree Women Cohort, a sub-cohort of the Taizhou longitudinal study. We genotyped four tSNPs (rs4425043, rs780094, rs814295, and rs8179206) of the GCKR gene using the Taqman assay in 2,851 female subjects and investigated their associations with overweight and obesity. Odds ratios and their 95% confidence intervals (CIs) were derived from ordered logistic regression model. We observed significant association between rs4425043 and body-mass-index-defined overweight and obesity. The frequencies of A allele of the rs4425043 exhibited a significant increasing trend from normal weight (13.20%), overweight (15.08%), to obese subjects (17.10%) (P = 0.006). Individuals with the GA or AA genotypes showed a 31% excessive risk to develop overweight or obesity (95% CI: 1.12-1.52, P = 0.001). In addition, we observed significantly increased levels of fasting plasma glucose associated with variations of both rs780094 and rs814295 (5.03, 5.09, and 5.15 mmol/L for rs780094 AA, GA and GG genotypes, respectively, and 5.03, 5.11, and 5.20 mmol/L for rs814295 AA, GA and GG genotypes, respectively). In conclusion, a novel polymorphism (rs4425043) in the GCKR gene increases the risk of overweight and obesity in Chinese women. Previous report that other polymorphisms in the GCKR gene are associated with glucose levels have also been confirmed.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21318467     DOI: 10.1007/s11745-011-3533-5

Source DB:  PubMed          Journal:  Lipids        ISSN: 0024-4201            Impact factor:   1.880


  23 in total

Review 1.  Medical consequences of obesity.

Authors:  George A Bray
Journal:  J Clin Endocrinol Metab       Date:  2004-06       Impact factor: 5.958

2.  Obesity: impact of cardiovascular disease.

Authors:  R M Krauss; M Winston; R N Fletcher; S M Grundy
Journal:  Circulation       Date:  1998-10-06       Impact factor: 29.690

3.  Obesity: preventing and managing the global epidemic. Report of a WHO consultation.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  2000

4.  A major quantitative trait locus determining serum leptin levels and fat mass is located on human chromosome 2.

Authors:  A G Comuzzie; J E Hixson; L Almasy; B D Mitchell; M C Mahaney; T D Dyer; M P Stern; J W MacCluer; J Blangero
Journal:  Nat Genet       Date:  1997-03       Impact factor: 38.330

Review 5.  The epidemiology of obesity: a review.

Authors:  S M Saw; U Rajan
Journal:  Ann Acad Med Singapore       Date:  1997-07       Impact factor: 2.473

6.  Co-localization of the ketohexokinase and glucokinase regulator genes to a 500-kb region of chromosome 2p23.

Authors:  B E Hayward; J A Fantes; J P Warner; S Intody; J P Leek; A F Markham; D T Bonthron
Journal:  Mamm Genome       Date:  1996-06       Impact factor: 2.957

7.  [National epidemiological survey on childhood obesity, 2006].

Authors:  Zong-yi Ding
Journal:  Zhonghua Er Ke Za Zhi       Date:  2008-03

8.  Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels.

Authors:  Richa Saxena; Benjamin F Voight; Valeriya Lyssenko; Noël P Burtt; Paul I W de Bakker; Hong Chen; Jeffrey J Roix; Sekar Kathiresan; Joel N Hirschhorn; Mark J Daly; Thomas E Hughes; Leif Groop; David Altshuler; Peter Almgren; Jose C Florez; Joanne Meyer; Kristin Ardlie; Kristina Bengtsson Boström; Bo Isomaa; Guillaume Lettre; Ulf Lindblad; Helen N Lyon; Olle Melander; Christopher Newton-Cheh; Peter Nilsson; Marju Orho-Melander; Lennart Råstam; Elizabeth K Speliotes; Marja-Riitta Taskinen; Tiinamaija Tuomi; Candace Guiducci; Anna Berglund; Joyce Carlson; Lauren Gianniny; Rachel Hackett; Liselotte Hall; Johan Holmkvist; Esa Laurila; Marketa Sjögren; Maria Sterner; Aarti Surti; Margareta Svensson; Malin Svensson; Ryan Tewhey; Brendan Blumenstiel; Melissa Parkin; Matthew Defelice; Rachel Barry; Wendy Brodeur; Jody Camarata; Nancy Chia; Mary Fava; John Gibbons; Bob Handsaker; Claire Healy; Kieu Nguyen; Casey Gates; Carrie Sougnez; Diane Gage; Marcia Nizzari; Stacey B Gabriel; Gung-Wei Chirn; Qicheng Ma; Hemang Parikh; Delwood Richardson; Darrell Ricke; Shaun Purcell
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

9.  Association of GCKR rs780094, alone or in combination with GCK rs1799884, with type 2 diabetes and related traits in a Han Chinese population.

Authors:  Q Qi; Y Wu; H Li; R J F Loos; F B Hu; L Sun; L Lu; A Pan; C Liu; H Wu; L Chen; Z Yu; X Lin
Journal:  Diabetologia       Date:  2009-02-25       Impact factor: 10.122

10.  Newly identified loci that influence lipid concentrations and risk of coronary artery disease.

Authors:  Cristen J Willer; Serena Sanna; Anne U Jackson; Angelo Scuteri; Lori L Bonnycastle; Robert Clarke; Simon C Heath; Nicholas J Timpson; Samer S Najjar; Heather M Stringham; James Strait; William L Duren; Andrea Maschio; Fabio Busonero; Antonella Mulas; Giuseppe Albai; Amy J Swift; Mario A Morken; Narisu Narisu; Derrick Bennett; Sarah Parish; Haiqing Shen; Pilar Galan; Pierre Meneton; Serge Hercberg; Diana Zelenika; Wei-Min Chen; Yun Li; Laura J Scott; Paul A Scheet; Jouko Sundvall; Richard M Watanabe; Ramaiah Nagaraja; Shah Ebrahim; Debbie A Lawlor; Yoav Ben-Shlomo; George Davey-Smith; Alan R Shuldiner; Rory Collins; Richard N Bergman; Manuela Uda; Jaakko Tuomilehto; Antonio Cao; Francis S Collins; Edward Lakatta; G Mark Lathrop; Michael Boehnke; David Schlessinger; Karen L Mohlke; Gonçalo R Abecasis
Journal:  Nat Genet       Date:  2008-01-13       Impact factor: 38.330

View more
  3 in total

1.  Mendelian randomization analysis associates increased serum urate, due to genetic variation in uric acid transporters, with improved renal function.

Authors:  Kim Hughes; Tanya Flynn; Janak de Zoysa; Nicola Dalbeth; Tony R Merriman
Journal:  Kidney Int       Date:  2013-09-18       Impact factor: 10.612

2.  Genetic Variation and Insulin Resistance in Middle-Aged Chinese Men.

Authors:  Raquel Villegas; Ryan Delahanty; Scott Williams; Honglan Li; Richard O'Brian; Jiajun Shi; Qiuyin Cai; Yong-Bing Xiang; Xiao Ou Shu
Journal:  Ann Hum Genet       Date:  2015-08-07       Impact factor: 1.670

3.  Pleiotropic Effects of Common and Rare GCKR Exonic Mutations on Cardiometabolic Traits.

Authors:  Kuan-Hung Yeh; Lung-An Hsu; Ming-Sheng Teng; Semon Wu; Hsin-Hua Chou; Yu-Lin Ko
Journal:  Genes (Basel)       Date:  2022-03-10       Impact factor: 4.096

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.