Genetic risk for coronary artery disease in individuals with or without type 2 diabetes

Yoshiji Yamada, Sahoko Ichihara, Hideo Izawa, Masashi Tanaka, Mitsuhiro Yokota

研究成果: Article

33 引用 (Scopus)

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Given that a substantial proportion of individuals with coronary artery disease (CAD) also have type 2 diabetes, it is important to identify genes that confer susceptibility to CAD independently in subjects with type 2 diabetes and in those without this condition. A large-scale association study was performed to identify genes that confer susceptibility to CAD in either the absence or presence of type 2 diabetes. The study population comprised 5207 unrelated Japanese individuals, including 3085 subjects with CAD and 2122 controls. Among all subjects, 1704 individuals had type 2 diabetes and 3503 individuals did not have this condition. The genotypes for 33 polymorphisms of 27 candidate genes were determined with a fluorescence- or colorimetry-based allele-specific DNA primer-probe assay system. Multivariate logistic regression analysis with adjustment for age, body mass index, and the prevalence of smoking, hypertension, hypercholesterolemia, and hyperuricemia revealed that the following polymorphisms were significantly (P<0.005) associated with CAD: the 1019C→T of the connexin 37 gene for men with type 2 diabetes; the 2445G→A in the fatty acid-binding protein 2 gene for women with this condition; the -863C→A in the tumor necrosis factor-α gene, the -219G→T in the apolipoprotein E gene, the 1019C→T in the connexin 37 gene for men without type 2 diabetes; and the -482C→T in the apolipoprotein C-III gene for women without this condition. Genotyping of these polymorphisms may prove informative for assessment of the genetic risk for CAD in the absence or presence of type 2 diabetes.

元の言語English
ページ(範囲)282-290
ページ数9
ジャーナルMolecular Genetics and Metabolism
81
発行部数4
DOI
出版物ステータスPublished - 04-2004

All Science Journal Classification (ASJC) codes

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Molecular Biology
  • Genetics
  • Endocrinology

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