Evidence map›Paper›PMID 26244394›Full record

ArticleAIDS (London, England)2015

Disentangling the impact of within-host evolution and transmission dynamics on the tempo of HIV-1 evolution.

Bram Vrancken, Guy Baele, Anne-Mieke Vandamme, Kristel van Laethem, Marc A Suchard, Philippe Lemey

Abstract read
In one paragraph

Article in AIDS (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Bram VranckenaDepartment of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium bCentro de Malária e Outras Doenças Tropicais Instituto de Higiene e Medicina Tropical and Unidade de Microbiologia, Universidade Nova de Lisboa, Lisboa, Portugal cDepartment of Biomathematics dDepartment of Human Genetics, David Geffen School of Medicine at UCLA eDepartment of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, California, USA.
Guy Baele
Anne-Mieke Vandamme
Kristel van Laethem
Marc A Suchard
Philippe Lemey

Funding

Bayesian Joint Estimation of Alignment and PhylogenyR01GM086887 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUCHARD, MARC A. · 2008 to 2012
$1.5M
NIGMS NIH HHS R01 GM086887
6 · The paper itself

Abstract

objectiveTo determine how HIV-1 risk groups impact transmitted diversity and the tempo of viral evolution at a population scale.

methodsWe investigated a set of previously described transmission chains (n = 70) using a population genetic approach, and tested whether the expected differences in proportions of multivariant transmissions are reflected by varying proportions of transmitted diversity between men having sex with men (MSM) and heterosexual (HET) subpopulations - the largest contributors to HIV spread. To assess evolutionary rate differences among the different risk groups, we compiled risk group datasets for subtypes A1, B and CRF01_AE, and directly compared the absolute substitution rate and its synonymous and non-synonymous components.

resultsThere was sufficient demographic signal to inform the transmission model in Bayesian evolutionary analysis by sampling trees using env data to compare the transmission bottleneck size between the MSM and HET risk groups. We found no indications for a different proportion of transmitted genetic diversity at the population level between these groups. In the direct rate comparisons between the risk groups, however, we consistently recovered a higher evolutionary rate in the male-dominated risk group compared to the HET datasets.

conclusionWe find that the risk group composition affects the viral evolutionary rate and therefore potentially also the adaptation rate. In particular, risk group-specific sex ratios, and the variation in within-host evolutionary rates between men and women, impose evolutionary rate differences at the epidemic level, but we cannot exclude a role of varying transmission rates.

Indexed as

Evolution, MolecularGenetic VariationAmino Acid Substitutionenv Gene Products, Human Immunodeficiency VirusFemaleGenetic DriftHIV-1HIV InfectionsHumansMaleMutation RateSelection, GeneticSequence Analysis, DNASexual Behaviorenv Gene Products, Human Immunodeficiency Virus

Identifiers

PMID26244394
PMCPMC5348249

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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.