Evidence map›Paper›PMID 40618165›Full record

ArticleVirology journal2025

Conserved recombination patterns across hepatitis B genotypes: a retrospective study.

Derek Tshiabuila, James E San, Eduan Wilkinson, Graeme Dor, Houriiyah Tegally, Tongai G Maponga, Marion Delphin, Philippa C Matthews, Darren P Martin, Cheryl Baxter and 1 more

Abstract read
In one paragraph

Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Derek TshiabuilaCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa. derektshiabuila@sun.ac.za.
James E SanDuke Human Vaccine Institute, Duke University Medical Center, Durham, USA.
Eduan WilkinsonCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Graeme DorCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Houriiyah TegallyCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Tongai G MapongaDivision of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University & National Health Laboratory Service, Cape Town, South Africa.
Marion DelphinThe Francis Crick Institute, London, UK.
Philippa C MatthewsThe Francis Crick Institute, London, UK.
Darren P MartinComputational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Observatory, South Africa.
Cheryl BaxterCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Tulio de OliveiraCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.

Funding

Bill & Melinda Gates Foundation 101103171
6 · The paper itself

Abstract

Hepatitis B virus (HBV) infection is a major public health concern, as chronic HBV infection can lead to liver cirrhosis and increase a person's risk of developing hepatocellular carcinoma (HCC). HBV has been classified into ten genotypes (A to J). Here, we analysed the genotypic diversity and recombination patterns of HBV using 14486 publicly available HBV genome sequences. Partial sequences and sequences with no metadata were filtered out, resulting in a final dataset of 8823 HBV genomes. These sequences were then combined with 41 HBV reference genomes from NCBI GenBank, and a maximum-likelihood phylogenetic tree was constructed to generate ten HBV genotype datasets. Multiple sequence alignment was performed for each HBV dataset, and using RDP5.64, we identified 288 unique recombination events. Inter-genotype B/C recombination events were most common (found in 626/1194 identified recombinants), including 22/66 recombination events detected in viruses that are phylogenetically genotype B and 22/78 that are phylogenetically genotype C. The HBx (X) and pre-Core (pre-C) regions of the HBV genome were identified as recombination breakpoint hotspots, with the pre-C region also being the most frequently transferred genome region during recombination. As with many other viruses, the observed recombination breakpoint patterns in HBV genomes are significantly attributable to factors such as local sequence similarity, GC content, or selection against recombination-induced protein misfolding. This study highlights the complexity of the genetic diversity and recombination of HBV, with important implications for understanding its evolution and informing tailored public health interventions.

Indexed as

Genetic VariationGenotypeHepatitis BHepatitis B virusRecombination, GeneticGenome, ViralHumansPhylogenyRetrospective StudiesGenotypic diversityHepatitis B virus (HBV)PhylogeneticsRecombination hotspotsViral evolutionViral recombination

Identifiers

PMID40618165
PMCPMC12229012

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.