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Journal article

Insights from deep sequencing of the HBV genome — Unique, tiny, and misunderstood

Abstract:
Hepatitis B virus (HBV) is a unique, tiny, partially double-stranded, reverse-transcribing DNA virus with proteins encoded by multiple overlapping reading frames. The substitution rate is surprisingly high for a DNA virus, but lower than that of other reverse transcribing organisms. More than 260 million people worldwide have chronic HBV infection, which causes 0.8 million deaths a year. Due to the high burden of disease, international health agencies have set the goal of eliminating HBV infection by 2030. Nonetheless, the intriguing HBV genome has not been well characterized. We summarize data on the HBV genome structure and replication cycle, explain and quantify diversity within and among infected individuals, and discuss advances that can be offered by application of next-generation sequencing technology. In-depth HBV genome analyses could increase our understanding of disease pathogenesis and allow us to better predict patient outcomes, optimize treatment, and develop new therapeutics.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1053/j.gastro.2018.07.058

Authors

More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM Experimental Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Target Discovery Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Human Genetics Wt Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM Experimental Medicine
Role:
Author


More from this funder
Funding agency for:
McKeating, J
Matthews, P
Grant:
IA 200838/Z/16/Z
110110
More from this funder
Funding agency for:
McKeating, J
Grant:
IA 200838/Z/16/Z


Publisher:
Elsevier
Journal:
Gastroenterology More from this journal
Volume:
156
Issue:
2
Pages:
384-399
Publication date:
2018-09-27
Acceptance date:
2018-07-23
DOI:
EISSN:
1528-0012
ISSN:
0016-5085


Pubs id:
pubs:905672
UUID:
uuid:453afce9-8a90-4b3f-b940-07d010b447f7
Local pid:
pubs:905672
Source identifiers:
905672
Deposit date:
2018-08-14
ARK identifier:

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