Development of new risk model for predicting type 2 diabetes mellitus combining genetic profiles (single nucleotide polymorphisms) and classical diabetes risk factors

2016 Fiscal Year Final Research Report

• Project/Area Number: 26870208
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Metabolomics; Epidemiology and preventive medicine
• Research Institution: Niigata University
• Principal Investigator: Kodama Satoru 新潟大学, 医歯学総合研究科, 助教 (50638781)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: ゲノムワイド研究 / 糖尿病感受性遺伝子 / 危険遺伝子 / メタ解析

Outline of Final Research Achievements

Our meta-analyses which aimed to assess the ability of genetic testing for type 2　diabetes mellitus succeeded in establishing the following quantitative evidence. In conclusion, using only diabetes-susceptible genes would be almost impossible to detect individuals at high risk of diabetes. (1) The dose-response curve between cumulative risk alleles (RAs) and risk of diabetes indicated that the increase in the diabetes risk in relation to cumulative RAs was weakened as the number of RAs carried increased. (2) Diagnostic value of genetic testing based on GWAS was considered minimal, which was concluded from pooled positive likelihood ratio and negative likelihood ratio was 1.32 and 0.76, respectively. (3) Pooled OR of incident diabetes for carrying one RA was 1.10, which approximately corresponded to one for the increase in body weight by 2 kg.

Free Research Field

各種生活習慣病における遺伝要因と環境要因の寄与度