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From genome-wide association studies to rational drug target prioritisation in inflammatory arthritis

Abstract:
Early identification of genetically validated drug targets can increase the chances of successful late-stage drug development. 81 high-quality genome-wide association studies (GWAS) in diseases related to inflammatory arthritis have been curated into the GWAS catalogue; however, translation of genetic findings from GWAS into rational drug target discovery has been poor. No human genetic findings have completely driven drug development for inflammatory arthritis; however, genetic associations have partly driven the development of abatacept (CTLA-4-Ig) in rheumatoid arthritis and secukinumab (anti-IL-23R) in ankylosing spondylitis. Roadblocks to progress exist, including little knowledge of the genetic architecture and regulatory mechanisms underlying associations, and the need to identify gene regulatory networks and assess target tractability. New opportunities are arising that could maximise the informativeness of GWAS for drug target validation. Genetic variants can be linked to core genes by using functional genomics and then to peripheral genes interconnected to core genes using network information. Moreover, identification of crosstalk between biological pathways might highlight key points for therapeutic intervention.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/s2665-9913(19)30134-1

Authors

More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM
Sub department:
Wellcome Trust Centre for Human Genetics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Oxford college:
Worcester College
Role:
Author
ORCID:
0000-0003-1503-6017
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM
Sub department:
Wellcome Trust Centre for Human Genetics
Role:
Author


Publisher:
Elsevier
Journal:
Lancet Rheumatology More from this journal
Volume:
2
Issue:
1
Pages:
e50-e62
Publication date:
2019-10-12
Acceptance date:
2019-10-12
DOI:
ISSN:
2665-9913


Language:
English
Keywords:
Pubs id:
pubs:1080764
UUID:
uuid:0bcf38a2-994f-4507-93ab-02d33f0e6d55
Local pid:
pubs:1080764
Source identifiers:
1080764
Deposit date:
2020-01-03
ARK identifier:

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