Literature DB >> 24067293

Systematic evaluation of personal genome services for Japanese individuals.

Takashi Kido1, Minae Kawashima, Seiji Nishino, Melanie Swan, Naoyuki Kamatani, Atul J Butte.   

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.

Mesh:

Year:  2013        PMID: 24067293     DOI: 10.1038/jhg.2013.96

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  4 in total

1.  Estimation of the risk of a qualitative phenotype: dependence on population risk.

Authors:  Naoyuki Kamatani; Shigeo Kamitsuji; Yasuaki Akazawa; Takashi Kido; Masanori Akita
Journal:  J Hum Genet       Date:  2016-08-25       Impact factor: 3.172

2.  The audacity of interpretation: Protecting patients or piling on?

Authors:  Misha Angrist
Journal:  Appl Transl Genom       Date:  2014-09-01

3.  Development of a general logistic model for disease risk prediction using multiple SNPs.

Authors:  Cheng Long; Guanting Lv; Xinmiao Fu
Journal:  FEBS Open Bio       Date:  2019-09-27       Impact factor: 2.693

Review 4.  Internet-Based Direct-to-Consumer Genetic Testing: A Systematic Review.

Authors:  Loredana Covolo; Sara Rubinelli; Elisabetta Ceretti; Umberto Gelatti
Journal:  J Med Internet Res       Date:  2015-12-14       Impact factor: 5.428

  4 in total

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