Variations in predicted risks in personal genome testing for common complex diseases.

ABSTRACT:

Purpose

The promise of personalized genomics for common complex diseases depends, in part, on the ability to predict genetic risks on the basis of single nucleotide polymorphisms. We examined and compared the methods of three companies (23andMe, deCODEme, and Navigenics) that have offered direct-to-consumer personal genome testing.

Methods

We simulated genotype data for 100,000 individuals on the basis of published genotype frequencies and predicted disease risks using the methods of the companies. Predictive ability for six diseases was assessed by the AUC.

Results

AUC values differed among the diseases and among the companies. The highest values of the AUC were observed for age-related macular degeneration, celiac disease, and Crohn disease. The largest difference a

SUBMITTER: Kalf RR 

PROVIDER: S-EPMC3883880 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature