The Resource Deriving drug discovery value from large-scale genetic bioresources : proceedings of a workshop, Siobhan Addie, Amanda Wagner Gee, Steve Olson, and Sarah H. Beachy, rapporteurs ; Roundtable on Genomics and Precision Health ; Forum on Drug Discovery, Development, and Translation, Board on Health Sciences Policy, Health and Medicine Division, the National Academies of Sciences, Engineering, Medicine

Deriving drug discovery value from large-scale genetic bioresources : proceedings of a workshop, Siobhan Addie, Amanda Wagner Gee, Steve Olson, and Sarah H. Beachy, rapporteurs ; Roundtable on Genomics and Precision Health ; Forum on Drug Discovery, Development, and Translation, Board on Health Sciences Policy, Health and Medicine Division, the National Academies of Sciences, Engineering, Medicine

Label
Deriving drug discovery value from large-scale genetic bioresources : proceedings of a workshop
Title
Deriving drug discovery value from large-scale genetic bioresources
Title remainder
proceedings of a workshop
Statement of responsibility
Siobhan Addie, Amanda Wagner Gee, Steve Olson, and Sarah H. Beachy, rapporteurs ; Roundtable on Genomics and Precision Health ; Forum on Drug Discovery, Development, and Translation, Board on Health Sciences Policy, Health and Medicine Division, the National Academies of Sciences, Engineering, Medicine
Creator
Contributor
Issuing body
Subject
Genre
Language
eng
Summary
"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"--Publisher's description
Cataloging source
CUS
http://library.link/vocab/creatorName
Addie, Siobhan
Illustrations
illustrations
Index
no index present
LC call number
RM301.25
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
NLM call number
QV 745
http://bibfra.me/vocab/relation/rapporteur
  • zYFYiiOM9ZQ
  • jJyRsQ8Lx0g
  • cumdWZSelFc
  • VeUaQOu8yVk
http://library.link/vocab/relatedWorkOrContributorDate
  • 1956-
  • 2016
http://library.link/vocab/relatedWorkOrContributorName
  • Gee, Amanda Wagner
  • Olsen, Steve
  • Beachy, Sarah H.
  • National Academies of Sciences, Engineering, and Medicine (U.S.)
  • National Academies of Sciences, Engineering, and Medicine (U.S.)
  • Deriving Drug Discovery Value from Large-Scale Genetic Bioresources (Workshop)
http://library.link/vocab/subjectName
  • Drug development
  • Drugs
  • Drug Discovery
  • Chemistry, Pharmaceutical
  • Genomics
  • Computational Biology
  • Data Mining
Label
Deriving drug discovery value from large-scale genetic bioresources : proceedings of a workshop, Siobhan Addie, Amanda Wagner Gee, Steve Olson, and Sarah H. Beachy, rapporteurs ; Roundtable on Genomics and Precision Health ; Forum on Drug Discovery, Development, and Translation, Board on Health Sciences Policy, Health and Medicine Division, the National Academies of Sciences, Engineering, Medicine
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 59-63)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
  • text
  • still image
Content type code
  • txt
  • sti
Content type MARC source
  • rdacontent
  • rdacontent
Control code
962037176
Extent
1 online resource (xxii, 92 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)962037176
Label
Deriving drug discovery value from large-scale genetic bioresources : proceedings of a workshop, Siobhan Addie, Amanda Wagner Gee, Steve Olson, and Sarah H. Beachy, rapporteurs ; Roundtable on Genomics and Precision Health ; Forum on Drug Discovery, Development, and Translation, Board on Health Sciences Policy, Health and Medicine Division, the National Academies of Sciences, Engineering, Medicine
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 59-63)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
  • text
  • still image
Content type code
  • txt
  • sti
Content type MARC source
  • rdacontent
  • rdacontent
Control code
962037176
Extent
1 online resource (xxii, 92 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)962037176

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