Systematic evaluation of personal genome services for Japanese individuals

12Citations
Citations of this article
37Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Disease risk prediction (DRP) is one of the most important challenges in personal genome research. Although many direct-to-consumer genetic test (DTC) companies have begun to offer personal genome services for DRP, there is still no consensus on what constitutes a gold-standard service. Here, we systematically evaluated the distributions of DRPs from three DTC companies, that is, 23andMe, Navigenics and deCODEme, for 22 diseases using three Japanese samples. We systematically quantified and analyzed the differences between each DTC company's DRPs. Our independency test showed that the overall prediction results were correlated with each other, but not perfectly matched; less than onethird mismatching of the opposite direction occurred in eight diseases. Moreover, we found that the differences could mainly be attributed to four factors: (1) single nucleotide polymorphism (SNP) selection, (2) average risk estimation, (3) the disease risk calculation algorithm and (4) ethnicity adjustment. In particular, only 7.1% of SNPs over 22 diseases were reviewed by all three companies. Therefore, development of a universal core SNPs list for non-Caucasian samples will be important for achieving better prediction capacity for Japanese samples. This systematic methodology provides useful insights for improving the capacity of DRPs in future personal genome services. © 2013 The Japan Society of Human Genetics.

Cite

CITATION STYLE

APA

Kido, T., Kawashima, M., Nishino, S., Swan, M., Kamatani, N., & Butte, A. J. (2013). Systematic evaluation of personal genome services for Japanese individuals. Journal of Human Genetics, 58(11), 734–741. https://doi.org/10.1038/jhg.2013.96

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free