Suppr超能文献

Exploring the Potential of Direct-To-Consumer Genomic Test Data for Predicting Adverse Drug Events.

作者信息

Zhang Patrick M, Sarkar Indra Neil

机构信息

Center for Biomedical Informatics, Brown University, Providence, RI.

出版信息

AMIA Jt Summits Transl Sci Proc. 2018 May 18;2017:247-256. eCollection 2018.

Abstract

Recent technological advancements in genetic testing and the growing accessibility of public genomic data provide researchers with a unique avenue to approach personalized medicine. This feasibility study examined the potential of direct-to-consumer (DTC) genomic tests (focusing on 23andMe) in research and clinical applications. In particular, we combined population genetics information from the Personal Genome Project with adverse event reports from AEOLUS and pharmacogenetic information from PharmGKB. Primarily, associations between drugs based on co-occurring genetic variations and associations between variants and adverse events were used to assess the potential for leveraging single nucleotide polymorphism information from 23andMe. The results of this study suggest potential clinical uses of DTC tests in light of potential drug interactions. Furthermore, the results suggest great potential for analyzing associations at a population level to facilitate knowledge discovery in the realm of predicting adverse drug events.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f868/5961769/e42d32035884/2840779f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验