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Concordance study of 3 direct-to-consumer genetic-testing services.

机译:3种直接面向消费者的基因检测服务的一致性研究。

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摘要

BACKGROUND: Several companies offer direct-toconsumer (DTC) genetic testing to evaluate ancestry and wellness. Massive-scale testing of thousands of single-nucleotide polymorphisms (SNPs) is not error free, and such errors could translate into misclassification of risk and produce a false sense of security or unnecessary anxiety in an individual. We evaluated 3 DTC services and a genomics service that are based on DNA microarray or solution genotyping with hydrolysis probes (TaqMan® analysis) and compared the test results obtained for the same individual. METHODS: We evaluated the results from 3 DTC services (23andMe, deCODEme, Navigenics) and a genomics-analysis service (Expression Analysis). RESULTS: The concordance rates between the services for SNP data were >99.6%; however, there were some marked differences in the relative disease risks assigned by the DTC services (e.g., for rheumatoid arthritis, the range of relative risk was 0.9 -1.85). A possible reason for this difference is that different SNPs were used to calculate risk for the same disease. The reference population also had an influence on the relative disease risk. CONCLUSIONS: Our study revealed excellent concordance between the results of SNP analyses obtained from different companies with different platforms, but we noted a disparity in the data for risk, owing to both differences in the SNPs used in the calculation and the reference population used. The larger issues of the utility of the information and the need for risk data that match the user's ethnicity remain, however.
机译:背景:几家公司提供直接面向消费者(DTC)的基因测试,以评估血统和健康状况。数千个单核苷酸多态性(SNP)的大规模测试并非没有错误,并且此类错误可能会转化为风险分类错误,并给人带来错误的安全感或不必要的焦虑感。我们评估了3种DTC服务和一种基因组学服务,这些服务基于DNA微阵列或具有水解探针的溶液基因分型(TaqMan®分析),并比较了同一个人获得的测试结果。方法:我们评估了3种DTC服务(23andMe,deCODEme,Navigenics)和基因组分析服务(表达分析)的结果。结果:SNP数据服务之间的一致性比率> 99.6%;但是,DTC服务分配的相对疾病风险存在显着差异(例如,对于类风湿性关节炎,相对风险范围为0.9 -1.85)。造成这种差异的可能原因是,使用了不同的SNP来计算同一疾病的风险。参考人群也对相对疾病风险有影响。结论:我们的研究揭示了从不同平台的不同公司获得的SNP分析结果之间的极佳一致性,但是由于计算中使用的SNP与参考人群的差异,我们注意到风险数据存在差异。但是,仍然存在更大的信息实用性问题以及对与用户种族匹配的风险数据的需求。

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