Personalized risk prediction for type 2 diabetes: the potential of genetic risk scores.

ABSTRACT:

Purpose

Using effect estimates from genome-wide association studies (GWAS), we identified a genetic risk score (GRS) that has the strongest association with type 2 diabetes (T2D) status in a population-based cohort and investigated its potential for prospective T2D risk assessment.

Methods

By varying the number of single-nucleotide polymorphisms (SNPs) and their respective weights, alternative versions of GRS can be computed. They were tested in 1,181 T2D cases and 9,092 controls of the Estonian Biobank cohort. The best-fitting GRS was chosen for the subsequent analysis of incident T2D (386 cases).

Results

The best fit was provided by a novel doubly weighted GRS that captures the effect of 1,000 SNPs. The hazard for incident T2D was 3.45 times (95% CI: 2.31-5.17) high

SUBMITTER: Lall K 

PROVIDER: S-EPMC5506454 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature