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

  • Hiroyuki Unoki
  • , Atsushi Takahashi
  • , Takahisa Kawaguchi
  • , Kazuo Hara
  • , Momoko Horikoshi
  • , Gitte Andersen
  • , Daniel P.K. Ng
  • , Johan Holmkvist
  • , Knut Borch-Johnsen
  • , Torben Jørgensen
  • , Annelli Sandbæk
  • , 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

Research output: Contribution to journalArticlepeer-review

626 Citations (Scopus)

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 × 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 × 10-9; OR = 1.32, 95% CI = 1.20-1.45, rs2237897, P = 6.8 × 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 × 10 -3; OR = 1.14, rs2237897, P = 2.4 × 10-4; OR = 1.22) and Danish populations (additive model: rs2237895, P = 3.7 × 10 -11; OR = 1.24, rs2237897, P = 1.2 × 10-4; OR = 1.36).

Original languageEnglish
Pages (from-to)1098-1102
Number of pages5
JournalNature Genetics
Volume40
Issue number9
DOIs
Publication statusPublished - 09-2008
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Genetics

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