학술논문

Comprehensive Association Study of Type 2 Diabetes and Related Quantitative Traits With 222 Candidate Genes
Document Type
article
Source
Diabetes. 57(11)
Subject
Biomedical and Clinical Sciences
Biotechnology
Diabetes
Genetics
Clinical Research
2.1 Biological and endogenous factors
Aetiology
Metabolic and endocrine
Adult
Aged
Diabetes Mellitus
Type 2
Female
Finland
Gene Frequency
Genes
p53
Genetic Predisposition to Disease
Genotype
Glucose Transporter Type 2
Humans
Male
Middle Aged
Nuclear Respiratory Factor 1
Phosphoric Diester Hydrolases
Polymorphism
Single Nucleotide
Potassium Channels
Inwardly Rectifying
Pyrophosphatases
Quantitative Trait
Heritable
Medical and Health Sciences
Endocrinology & Metabolism
Biomedical and clinical sciences
Language
Abstract
ObjectiveType 2 diabetes is a common complex disorder with environmental and genetic components. We used a candidate gene-based approach to identify single nucleotide polymorphism (SNP) variants in 222 candidate genes that influence susceptibility to type 2 diabetes.Research design and methodsIn a case-control study of 1,161 type 2 diabetic subjects and 1,174 control Finns who are normal glucose tolerant, we genotyped 3,531 tagSNPs and annotation-based SNPs and imputed an additional 7,498 SNPs, providing 99.9% coverage of common HapMap variants in the 222 candidate genes. Selected SNPs were genotyped in an additional 1,211 type 2 diabetic case subjects and 1,259 control subjects who are normal glucose tolerant, also from Finland.ResultsUsing SNP- and gene-based analysis methods, we replicated previously reported SNP-type 2 diabetes associations in PPARG, KCNJ11, and SLC2A2; identified significant SNPs in genes with previously reported associations (ENPP1 [rs2021966, P = 0.00026] and NRF1 [rs1882095, P = 0.00096]); and implicated novel genes, including RAPGEF1 (rs4740283, P = 0.00013) and TP53 (rs1042522, Arg72Pro, P = 0.00086), in type 2 diabetes susceptibility.ConclusionsOur study provides an effective gene-based approach to association study design and analysis. One or more of the newly implicated genes may contribute to type 2 diabetes pathogenesis. Analysis of additional samples will be necessary to determine their effect on susceptibility.