Evidence map›Paper›PMID 28315836›Full record

ArticleGenetics2017

A Phylogenetic Codon Substitution Model for Antibody Lineages.

Kenneth B Hoehn, Gerton Lunter, Oliver G Pybus

Abstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Deletions in variable region 1 of the HIV envelope accelerate V3-glycan bNAb induction in SHIV-infected rhesus macaques.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Observational
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  5. A temporal and spatial atlas of adaptive immune responses in the lymph node following viral infection.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  15. Leveraging DAGs to improve context-sensitive and abundance-aware tree estimation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
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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

3 authors.

Kenneth B HoehnDepartment of Zoology, University of Oxford, OX1 3PS, United Kingdom kenneth.hoehn@gmail.com oliver.pybus@zoo.ox.ac.uk.
Gerton LunterWellcome Trust Centre for Human Genetics, University of Oxford, OX3 7BN, United Kingdom.
Oliver G PybusDepartment of Zoology, University of Oxford, OX1 3PS, United Kingdom kenneth.hoehn@gmail.com oliver.pybus@zoo.ox.ac.uk.

Funding

Wellcome TrustWellcome Trust 090532/Z/09/Z
6 · The paper itself

Abstract

Phylogenetic methods have shown promise in understanding the development of broadly neutralizing antibody lineages (bNAbs). However, the mutational process that generates these lineages, somatic hypermutation, is biased by hotspot motifs which violates important assumptions in most phylogenetic substitution models. Here, we develop a modified GY94-type substitution model that partially accounts for this context dependency while preserving independence of sites during calculation. This model shows a substantially better fit to three well-characterized bNAb lineages than the standard GY94 model. We also demonstrate how our model can be used to test hypotheses concerning the roles of different hotspot and coldspot motifs in the evolution of B-cell lineages. Further, we explore the consequences of the idea that the number of hotspot motifs, and perhaps the mutation rate in general, is expected to decay over time in individual bNAb lineages.

Indexed as

Evolution, MolecularPhylogenyAntibodies, NeutralizingB-LymphocytesCell LineageCodonHumansModels, GeneticMutationAntibodies, NeutralizingCodonantibodyB-cell receptorevolutionGenetics of Immunitylineagephylogenetic tree

Identifiers

PMID28315836
PMCPMC5419485

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.