Challenges of Identifying Clinically Actionable Genetic Variants for Precision Medicine
Joint Authors
Source
Journal of Healthcare Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-06
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Carter, Tonia C.& He, Max M.. 2016. Challenges of Identifying Clinically Actionable Genetic Variants for Precision Medicine. Journal of Healthcare Engineering،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1108685
Modern Language Association (MLA)
Carter, Tonia C.& He, Max M.. Challenges of Identifying Clinically Actionable Genetic Variants for Precision Medicine. Journal of Healthcare Engineering No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1108685
American Medical Association (AMA)
Carter, Tonia C.& He, Max M.. Challenges of Identifying Clinically Actionable Genetic Variants for Precision Medicine. Journal of Healthcare Engineering. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1108685
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108685