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Deriving Drug Discovery Value from Large-Scale Genetic Bioresources: Proceedings of a Workshop [Pehme köide]

  • Formaat: Paperback / softback, 114 pages, kõrgus x laius: 229x152 mm
  • Ilmumisaeg: 02-Dec-2016
  • Kirjastus: National Academies Press
  • ISBN-10: 030944778X
  • ISBN-13: 9780309447782
Teised raamatud teemal:
  • Formaat: Paperback / softback, 114 pages, kõrgus x laius: 229x152 mm
  • Ilmumisaeg: 02-Dec-2016
  • Kirjastus: National Academies Press
  • ISBN-10: 030944778X
  • ISBN-13: 9780309447782
Teised raamatud teemal:
The process of discovering and developing a new drug or therapy is extremely costly and time consuming, and recently, it has been estimated that the creation of a new medicine costs on average more than $2 billion and takes 10 years to reach patients. The challenges associated with bringing new medicines to market have led many pharmaceutical companies to seek out innovative methods for streamlining their drug discovery research.





One way to increase the odds of success for compounds in the drug development pipeline is to adopt genetically guided strategies for drug discovery, and recognizing the potential benefits of collecting genetic and phenotypic information across specific populations, pharmaceutical companies have started collaborating with healthcare systems and private companies that have curated genetic bioresources, or large databases of genomic information. Large-scale cohort studies offer an effective way to collect and store information that can be used to assess geneenvironment interactions, identify new potential drug targets, understand the role of certain genetic variants in the drug response, and further elucidate the underlying mechanisms of disease onset and progression.





To examine how genetic bioresources could be used to improve drug discovery and target validation, the National Academies of Sciences, Engineering, and Medicine hosted a workshop in March 2016. Participants at the workshop explored the current landscape of genomics-enabled drug discovery activities in industry, academia, and government; examined enabling partnerships and business models; and considered gaps and best practices for collecting population data for the purpose of improving the drug discovery process. This publication summarizes the presentations and discussions from the workshop.

Table of Contents



Front Matter 1 Introduction and Themes of the Workshop 2 Maximizing Discovery Capabilities Through Cohort Design 3 Discovery Activities Related to Genetic Bioresources 4 Business Models That Support Bioresource Discovery and Collaboration 5 Potential Next Steps in Using Genomics to Advance Drug Discovery References Appendix A: Workshop Agenda Appendix B: Speaker Biographical Sketches Appendix C: Statement of Task Appendix D: Registered Attendees
Abbreviations And Acronyms xxi
1 Introduction And Themes Of The Workhop
1(8)
Overview of the Workshop
3(4)
Organization of the Proceedings
7(2)
2 Maximizing Discovery Capabilities Through Cohort Design
9(16)
Biobank Studies in Finland
10(3)
Genetic Bioresources and Discovery Efforts in Iceland
13(2)
Improving Genomics and Cohort Studies
15(1)
Longitudinal Studies at the Community Health Level
15(1)
Genetics-Guided Drug Development at Regeneron
16(3)
Drug Discovery Through Direct-to-Consumer Genetics
19(3)
Participation, Data Sharing, and Privacy
22(3)
3 Discovery Activities Related To Genetic Bioresources
25(14)
Informatics Approaches to Understanding Pharmacogenomics
26(3)
Using Human Genetic Data to Support Target Prioritization
29(1)
Stepping Stones to Understanding the Underlying Biology of Drug Targets
30(1)
A Public-Private Collaborative Approach to Target Validation
31(2)
Collecting and Sharing Data to Treat a Neurological Disorder
33(2)
Exploring the Definition of the Precompetitive Research Space
35(2)
Industry-University Relations
37(2)
4 Business Models That Support Bioresource Discovery And Collaboration
39(10)
Engaging Patients for Drug Discovery
40(2)
Collaborative Approaches to Genomic Drug Discovery
42(5)
The Sustainability of Business Models
47(2)
5 Potential Next Steps In Using Genomics To Advance Drug Discovery
49(10)
Disruptive Technologies for Driving Drug Discovery
49(3)
Linking Genetic Data to Basic Research on Biological Function
52(1)
Challenges Associated with Collecting Phenotypic Data
53(1)
Considering the Needs of Patients
54(1)
Promoting Information Sharing and Collaboration
54(3)
Concluding Remarks
57(2)
REFERENCES
59(6)
APPENDIXES
A Workshop Agenda
65(6)
B Speaker Biographical Sketches
71(14)
C Statement of Task
85(2)
D Registered Attendees
87