Literature DB >> 18597214

Variants of the PPARG, IGF2BP2, CDKAL1, HHEX, and TCF7L2 genes confer risk of type 2 diabetes independently of BMI in the German KORA studies.

C Herder1, W Rathmann, K Strassburger, H Finner, H Grallert, C Huth, C Meisinger, C Gieger, S Martin, G Giani, W A Scherbaum, H-E Wichmann, T Illig.   

Abstract

Genome-wide association (GWA) studies identified novel gene variants that are associated with type 2 diabetes. However, results were not always consistent across different populations. Thus, the aims of this study were (i) to replicate findings from previous GWA studies in mainly Northern European populations using data from the German KORA 500 K diabetes project and (ii) to assess the impact of BMI on associations between single nucleotide polymorphisms (SNPs) and type 2 diabetes. The KORA 500 K diabetes project includes 433 cases with validated type 2 diabetes and 1 438 nondiabetic controls from two population-based KORA surveys. Genotyping was performed using the Affymetrix GeneChip Human Mapping 500 K Array Set. We investigated associations between SNPs and type 2 diabetes in 10 genes that have been reported to increase the risk of type 2 diabetes or were in complete or near-complete linkage disequilibrium with these variants. SNPs in the CDKAL1 gene showed the strongest association with type 2 diabetes [range of age and sex-adjusted odds ratios (OR): 1.30-1.39, p-values 0.0008-0.0004]. In addition, we found evidence for association of SNPs in the genes PPARG, IGF2BP2, HHEX, TCF7L2, and FTO with type 2 diabetes in the same directions as previously described (p<0.05), but not for WFS1, CDKN2A/B, KCNJ11, or EXT2. Adjustment for BMI slightly strengthened the link between CDKAL1 and type 2 diabetes, but had almost no impact on the other associations. We conclude that gene variants of CDKAL1, PPARG, IGF2BP2, HHEX, TCF7L2, and FTO predispose to type 2 diabetes in the German KORA 500 K study population. These associations appear to be independent of BMI.

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Year:  2008        PMID: 18597214     DOI: 10.1055/s-2008-1078730

Source DB:  PubMed          Journal:  Horm Metab Res        ISSN: 0018-5043            Impact factor:   2.936


  31 in total

1.  Genome-wide survey reveals predisposing diabetes type 2-related DNA methylation variations in human peripheral blood.

Authors:  Gidon Toperoff; Dvir Aran; Jeremy D Kark; Michael Rosenberg; Tatyana Dubnikov; Batel Nissan; Julio Wainstein; Yechiel Friedlander; Ephrat Levy-Lahad; Benjamin Glaser; Asaf Hellman
Journal:  Hum Mol Genet       Date:  2011-10-12       Impact factor: 6.150

2.  Association of rs7754840 G/C polymorphisms in CDKAL1 with type 2 diabetes: a meta-analysis of 70141 subjects.

Authors:  Muhadasi Tuerxunyiming; Patamu Mohemaiti; Hamulati Wufuer; Awaguli Tuheti
Journal:  Int J Clin Exp Med       Date:  2015-10-15

3.  Genes related to diabetes may be associated with pancreatic cancer in a population-based case-control study in Minnesota.

Authors:  Anna E Prizment; Myron Gross; Laura Rasmussen-Torvik; James M Peacock; Kristin E Anderson
Journal:  Pancreas       Date:  2012-01       Impact factor: 3.327

4.  Association between type 2 diabetes and CDKN2A/B: a meta-analysis study.

Authors:  Xiao Yun Bao; Cui Xie; Mao Sheng Yang
Journal:  Mol Biol Rep       Date:  2011-05-31       Impact factor: 2.316

Review 5.  The role of IGF2BP2, an m6A reader gene, in human metabolic diseases and cancers.

Authors:  Jinyan Wang; Lijuan Chen; Ping Qiang
Journal:  Cancer Cell Int       Date:  2021-02-10       Impact factor: 5.722

6.  Association between variants of EXT2 and type 2 diabetes: a replication and meta-analysis.

Authors:  Lei Liu; Xu Yang; Haoran Wang; Guanglin Cui; Yujun Xu; Peihua Wang; Gang Yuan; Xiaojing Wang; Hu Ding; Dao Wen Wang
Journal:  Hum Genet       Date:  2012-09-30       Impact factor: 4.132

7.  Common genetic variants in peroxisome proliferator-activated receptor-γ (PPARG) and type 2 diabetes risk among Women's Health Initiative postmenopausal women.

Authors:  Kei Hang K Chan; Tianhua Niu; Yunsheng Ma; Nai-chieh Y You; Yiqing Song; Eric M Sobel; Yi-Hsiang Hsu; Raji Balasubramanian; Yongxia Qiao; Lesley Tinker; Simin Liu
Journal:  J Clin Endocrinol Metab       Date:  2013-02-05       Impact factor: 5.958

8.  Associations of genetic variants in/near body mass index-associated genes with type 2 diabetes: a systematic meta-analysis.

Authors:  Bo Xi; Fumihiko Takeuchi; Aline Meirhaeghe; Norihiro Kato; John C Chambers; Andrew P Morris; Yoon Shin Cho; Weihua Zhang; Karen L Mohlke; Jaspal S Kooner; Xiao Ou Shu; Hongwei Pan; E Shyong Tai; Haiyan Pan; Jer-Yuarn Wu; Donghao Zhou; Giriraj R Chandak
Journal:  Clin Endocrinol (Oxf)       Date:  2014-03-13       Impact factor: 3.478

9.  A large replication study and meta-analysis in European samples provides further support for association of AHI1 markers with schizophrenia.

Authors:  Andrés Ingason; Ina Giegling; Sven Cichon; Thomas Hansen; Henrik B Rasmussen; Jimmi Nielsen; Gesche Jürgens; Pierandrea Muglia; Annette M Hartmann; Eric Strengman; Catalina Vasilescu; Thomas W Mühleisen; Srdjan Djurovic; Ingrid Melle; Bernard Lerer; Hans-Jürgen Möller; Clyde Francks; Olli P H Pietiläinen; Jouko Lonnqvist; Jaana Suvisaari; Annamari Tuulio-Henriksson; Muriel Walshe; Evangelos Vassos; Marta Di Forti; Robin Murray; Chiara Bonetto; Sarah Tosato; Rita M Cantor; Marcella Rietschel; Nick Craddock; Michael J Owen; Leena Peltonen; Ole A Andreassen; Markus M Nöthen; David St Clair; Roel A Ophoff; Michael C O'Donovan; David A Collier; Thomas Werge; Dan Rujescu
Journal:  Hum Mol Genet       Date:  2010-01-12       Impact factor: 6.150

10.  FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease.

Authors:  Rong Chen; Alex A Morgan; Joel Dudley; Tarangini Deshpande; Li Li; Keiichi Kodama; Annie P Chiang; Atul J Butte
Journal:  Genome Biol       Date:  2008-12-05       Impact factor: 13.583

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