Literature DB >> 18711366

SNPs in KCNQ1 are associated with susceptibility to type 2 diabetes in East Asian and European populations.

Hiroyuki Unoki1, Atsushi Takahashi, Takahisa Kawaguchi, Kazuo Hara, Momoko Horikoshi, Gitte Andersen, Daniel P K Ng, Johan Holmkvist, Knut Borch-Johnsen, Torben Jørgensen, Annelli Sandbaek, Torsten Lauritzen, Torben Hansen, Siti Nurbaya, Tatsuhiko Tsunoda, Michiaki Kubo, Tetsuya Babazono, Hiroshi Hirose, Matsuhiko Hayashi, Yasuhiko Iwamoto, Atsunori Kashiwagi, Kohei Kaku, Ryuzo Kawamori, E Shyong Tai, Oluf Pedersen, Naoyuki Kamatani, Takashi Kadowaki, Ryuichi Kikkawa, Yusuke Nakamura, Shiro Maeda.   

Abstract

We conducted a genome-wide association study using 207,097 SNP markers in Japanese individuals with type 2 diabetes and unrelated controls, and identified KCNQ1 (potassium voltage-gated channel, KQT-like subfamily, member 1) to be a strong candidate for conferring susceptibility to type 2 diabetes. We detected consistent association of a SNP in KCNQ1 (rs2283228) with the disease in several independent case-control studies (additive model P = 3.1 x 10(-12); OR = 1.26, 95% CI = 1.18-1.34). Several other SNPs in the same linkage disequilibrium (LD) block were strongly associated with type 2 diabetes (additive model: rs2237895, P = 7.3 x 10(-9); OR = 1.32, 95% CI = 1.20-1.45, rs2237897, P = 6.8 x 10(-13); OR = 1.41, 95% CI = 1.29-1.55). The association of these SNPs with type 2 diabetes was replicated in samples from Singaporean (additive model: rs2237895, P = 8.5 x 10(-3); OR = 1.14, rs2237897, P = 2.4 x 10(-4); OR = 1.22) and Danish populations (additive model: rs2237895, P = 3.7 x 10(-11); OR = 1.24, rs2237897, P = 1.2 x 10(-4); OR = 1.36).

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Year:  2008        PMID: 18711366     DOI: 10.1038/ng.208

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  333 in total

1.  Hypothyroidism of gene-targeted mice lacking Kcnq1.

Authors:  Henning Fröhlich; Krishna M Boini; Guiscard Seebohm; Nathalie Strutz-Seebohm; Oana N Ureche; Michael Föller; Melanie Eichenmüller; Ekaterina Shumilina; Ganesh Pathare; Anurag Kumar Singh; Ursula Seidler; Karl E Pfeifer; Florian Lang
Journal:  Pflugers Arch       Date:  2010-10-27       Impact factor: 3.657

Review 2.  Five years of GWAS discovery.

Authors:  Peter M Visscher; Matthew A Brown; Mark I McCarthy; Jian Yang
Journal:  Am J Hum Genet       Date:  2012-01-13       Impact factor: 11.025

Review 3.  Determining genetic risk factors for pediatric type 2 diabetes.

Authors:  Angharad R Morgan
Journal:  Curr Diab Rep       Date:  2012-02       Impact factor: 4.810

4.  A genome-wide association study in the Japanese population identifies susceptibility loci for type 2 diabetes at UBE2E2 and C2CD4A-C2CD4B.

Authors:  Toshimasa Yamauchi; Kazuo Hara; Shiro Maeda; Kazuki Yasuda; Atsushi Takahashi; Momoko Horikoshi; Masahiro Nakamura; Hayato Fujita; Niels Grarup; Stephane Cauchi; Daniel P K Ng; Ronald C W Ma; Tatsuhiko Tsunoda; Michiaki Kubo; Hirotaka Watada; Hiroshi Maegawa; Miki Okada-Iwabu; Masato Iwabu; Nobuhiro Shojima; Hyoung Doo Shin; Gitte Andersen; Daniel R Witte; Torben Jørgensen; Torsten Lauritzen; Annelli Sandbæk; Torben Hansen; Toshihiko Ohshige; Shintaro Omori; Ikuo Saito; Kohei Kaku; Hiroshi Hirose; Wing-Yee So; Delphine Beury; Juliana C N Chan; Kyong Soo Park; E Shyong Tai; Chikako Ito; Yasushi Tanaka; Atsunori Kashiwagi; Ryuzo Kawamori; Masato Kasuga; Philippe Froguel; Oluf Pedersen; Naoyuki Kamatani; Yusuke Nakamura; Takashi Kadowaki
Journal:  Nat Genet       Date:  2010-09-05       Impact factor: 38.330

5.  Genetic variants at 2q24 are associated with susceptibility to type 2 diabetes.

Authors:  Lu Qi; Marilyn C Cornelis; Peter Kraft; Kristopher J Stanya; W H Linda Kao; James S Pankow; Josée Dupuis; Jose C Florez; Caroline S Fox; Guillaume Paré; Qi Sun; Cynthia J Girman; Cathy C Laurie; Daniel B Mirel; Teri A Manolio; Daniel I Chasman; Eric Boerwinkle; Paul M Ridker; David J Hunter; James B Meigs; Chih-Hao Lee; Frank B Hu; Rob M van Dam
Journal:  Hum Mol Genet       Date:  2010-04-23       Impact factor: 6.150

6.  Genome-wide association of anthropometric traits in African- and African-derived populations.

Authors:  Sun J Kang; Charleston W K Chiang; Cameron D Palmer; Bamidele O Tayo; Guillaume Lettre; Johannah L Butler; Rachel Hackett; Adebowale A Adeyemo; Candace Guiducci; Ilze Berzins; Thutrang T Nguyen; Tao Feng; Amy Luke; Daniel Shriner; Kristin Ardlie; Charles Rotimi; Rainford Wilks; Terrence Forrester; Colin A McKenzie; Helen N Lyon; Richard S Cooper; Xiaofeng Zhu; Joel N Hirschhorn
Journal:  Hum Mol Genet       Date:  2010-04-16       Impact factor: 6.150

7.  A quality control algorithm for filtering SNPs in genome-wide association studies.

Authors:  Monnat Pongpanich; Patrick F Sullivan; Jung-Ying Tzeng
Journal:  Bioinformatics       Date:  2010-05-25       Impact factor: 6.937

8.  Type 2 diabetes risk alleles near ADCY5, CDKAL1 and HHEX-IDE are associated with reduced birthweight.

Authors:  E A Andersson; K Pilgaard; C Pisinger; M N Harder; N Grarup; K Faerch; P Poulsen; D R Witte; T Jørgensen; A Vaag; T Hansen; O Pedersen
Journal:  Diabetologia       Date:  2010-05-20       Impact factor: 10.122

9.  Genetic variation within the NR1H2 gene encoding liver X receptor β associates with insulin secretion in subjects at increased risk for type 2 diabetes.

Authors:  Caroline Ketterer; Karsten Müssig; Fausto Machicao; Norbert Stefan; Andreas Fritsche; Hans-Ulrich Häring; Harald Staiger
Journal:  J Mol Med (Berl)       Date:  2010-11-02       Impact factor: 4.599

10.  Identifying disease polymorphisms from case-control genetic association data.

Authors:  L Park
Journal:  Genetica       Date:  2010-10-14       Impact factor: 1.082

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