Large-scale viral genome analysis identifies novel clinical associations between hepatitis B virus and chronically infected patients Article Swipe
Ondřej Podlaha
,
Edward Gane
,
Maurizia Rossana Brunetto
,
Scott Fung
,
Wan‐Long Chuang
,
Calvin Q. Pan
,
Zhaoshi Jiang
,
Yang Liu
,
Neeru Bhardwaj
,
Prasenjit Mukherjee
,
John F. Flaherty
,
Anuj Gaggar
,
Mani Subramanian
,
Namiki Izumi
,
S. Shalimar
,
Young‐Suk Lim
,
Patrick Marcellin
,
Marı́a Buti
,
Henry Lik‐Yuen Chan
,
Kosh Agarwal
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-019-46609-7
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-019-46609-7
Despite the high global prevalence of chronic hepatitis B (CHB) infection, datasets covering the whole hepatitis B viral genome from large patient cohorts are lacking, greatly limiting our understanding of the viral genetic factors involved in this deadly disease. We performed deep sequencing of viral samples from patients chronically infected with HBV to investigate the association between viral genome variation and patients’ clinical characteristics. We discovered novel viral variants strongly associated with viral load and HBeAg status. Patients with viral variants C1817T and A1838G had viral loads nearly three orders of magnitude lower than patients without those variants. These patients consequently experienced earlier viral suppression while on treatment. Furthermore, we identified novel variants that either independently or in combination with precore mutation G1896A were associated with the transition from HBeAg positive to the negative phase of infection. These observations are consistent with the hypothesis that mutation of the HBeAg open reading frame is an important factor driving CHB patient’s HBeAg status. This analysis provides a detailed picture of HBV genetic variation in the largest patient cohort to date and highlights the diversity of plausible molecular mechanisms through which viral variation affects clinical phenotype.
Related Topics
Concepts
Viral load
HBeAg
Virology
Hepatitis B virus
Biology
Genetic variation
Viral hepatitis
Hepatitis B
Virus
Mutation
Viral evolution
Immunology
Medicine
Genome
Genetics
Gene
HBsAg
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-019-46609-7
- https://www.nature.com/articles/s41598-019-46609-7.pdf
- OA Status
- gold
- Cited By
- 22
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2964023031
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2964023031Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-019-46609-7Digital Object Identifier
- Title
-
Large-scale viral genome analysis identifies novel clinical associations between hepatitis B virus and chronically infected patientsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-19Full publication date if available
- Authors
-
Ondřej Podlaha, Edward Gane, Maurizia Rossana Brunetto, Scott Fung, Wan‐Long Chuang, Calvin Q. Pan, Zhaoshi Jiang, Yang Liu, Neeru Bhardwaj, Prasenjit Mukherjee, John F. Flaherty, Anuj Gaggar, Mani Subramanian, Namiki Izumi, S. Shalimar, Young‐Suk Lim, Patrick Marcellin, Marı́a Buti, Henry Lik‐Yuen Chan, Kosh AgarwalList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-019-46609-7Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-019-46609-7.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-019-46609-7.pdfDirect OA link when available
- Concepts
-
Viral load, HBeAg, Virology, Hepatitis B virus, Biology, Genetic variation, Viral hepatitis, Hepatitis B, Virus, Mutation, Viral evolution, Immunology, Medicine, Genome, Genetics, Gene, HBsAgTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
22Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 3, 2023: 7, 2022: 1, 2021: 5Per-year citation counts (last 5 years)
- References (count)
-
53Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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