4.2 Review

Challenges of Identifying Clinically Actionable Genetic Variants for Precision Medicine

期刊

JOURNAL OF HEALTHCARE ENGINEERING
卷 2016, 期 -, 页码 -

出版社

HINDAWI LTD
DOI: 10.1155/2016/3617572

关键词

-

资金

  1. Clinical and Translational Science Award program through National Institutes of Health, National Center for Advancing Translational Sciences [UL1TR000427]
  2. Marshfield Clinic Research Foundation

向作者/读者索取更多资源

Advances in genomic medicine have the potential to change the way we treat human disease, but translating these advances into reality for improving healthcare outcomes depends essentially on our ability to discover disease- and/or drug-associated clinically actionable genetic mutations. Integration and manipulation of diverse genomic data and comprehensive electronic health records (EHRs) on a big data infrastructure can provide an efficient and effective way to identify clinically actionable genetic variants for personalized treatments and reduce healthcare costs. We review bioinformatics processing of next-generation sequencing (NGS) data, bioinformatics infrastructures for implementing precision medicine, and bioinformatics approaches for identifying clinically actionable genetic variants using high-throughput NGS data and EHRs.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据