Literature DB >> 26536838

Precision medicine in the age of big data: The present and future role of large-scale unbiased sequencing in drug discovery and development.

P Vicini1, O Fields1, E Lai2, E D Litwack3, A-M Martin4, T M Morgan5, M A Pacanowski3, M Papaluca6, O D Perez1, M S Ringel7, M Robson5, H Sakul1, J Vockley8, T Zaks9, M Dolsten1, M Søgaard1.   

Abstract

High throughput molecular and functional profiling of patients is a key driver of precision medicine. DNA and RNA characterization has been enabled at unprecedented cost and scale through rapid, disruptive progress in sequencing technology, but challenges persist in data management and interpretation. We analyze the state-of-the-art of large-scale unbiased sequencing in drug discovery and development, including technology, application, ethical, regulatory, policy and commercial considerations, and discuss issues of LUS implementation in clinical and regulatory practice.
© 2015 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2015        PMID: 26536838     DOI: 10.1002/cpt.293

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  9 in total

Review 1.  Enabling Technologies for Personalized and Precision Medicine.

Authors:  Dean Ho; Stephen R Quake; Edward R B McCabe; Wee Joo Chng; Edward K Chow; Xianting Ding; Bruce D Gelb; Geoffrey S Ginsburg; Jason Hassenstab; Chih-Ming Ho; William C Mobley; Garry P Nolan; Steven T Rosen; Patrick Tan; Yun Yen; Ali Zarrinpar
Journal:  Trends Biotechnol       Date:  2020-01-21       Impact factor: 19.536

2.  Ethics and Epistemology in Big Data Research.

Authors:  Wendy Lipworth; Paul H Mason; Ian Kerridge; John P A Ioannidis
Journal:  J Bioeth Inq       Date:  2017-03-20       Impact factor: 1.352

3.  Why Every Aspect of an Academic Pharmacy Career Should Be Viewed Through the Lens of Scholarship.

Authors:  Reza Mehvar
Journal:  Am J Pharm Educ       Date:  2017-02-25       Impact factor: 2.047

Review 4.  Single-cell Transcriptome Study as Big Data.

Authors:  Pingjian Yu; Wei Lin
Journal:  Genomics Proteomics Bioinformatics       Date:  2016-02-11       Impact factor: 7.691

5.  Recognizing that Evidence is Made, not Born.

Authors:  Robyn Lim; David K Lee; Pierre Sabourin; John Ferguson; Marilyn Metcalf; Meredith Smith; Solange Corriol-Rohou; Hans-Georg Eichler; Murray Lumpkin; Gigi Hirsch; Inhua Muijrers Chen; Brian O'Rourke; Anja Schiel; Nick Crabb; Naomi Aronson; Edmund Pezalla; Marc Boutin; Louise Binder; Linda Wilhelm
Journal:  Clin Pharmacol Ther       Date:  2019-01-04       Impact factor: 6.875

6.  PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs.

Authors:  Ying Yu; Yunjin Wang; Zhaojie Xia; Xiangyu Zhang; Kailiang Jin; Jingcheng Yang; Luyao Ren; Zheng Zhou; Dong Yu; Tao Qing; Chengdong Zhang; Li Jin; Yuanting Zheng; Li Guo; Leming Shi
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

Review 7.  Precise hepatectomy in the intelligent digital era.

Authors:  Hao Chen; Yuchen He; Weidong Jia
Journal:  Int J Biol Sci       Date:  2020-01-01       Impact factor: 6.580

Review 8.  Transforming big data into computational models for personalized medicine and health care.

Authors:  S M Reza Soroushmehr; Kayvan Najarian
Journal:  Dialogues Clin Neurosci       Date:  2016-09       Impact factor: 5.986

9.  Bioinformatics in Germany: toward a national-level infrastructure.

Authors:  Andreas Tauch; Arwa Al-Dilaimi
Journal:  Brief Bioinform       Date:  2019-03-22       Impact factor: 11.622

  9 in total

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