Evidence map›Paper›PMID 21135151›Full record

ArticleMolecular biology and evolution2011

Impact of CCR5delta32 host genetic background and disease progression on HIV-1 intrahost evolutionary processes: efficient hypothesis testing through hierarchical phylogenetic models.

Diana Edo-Matas, Philippe Lemey, Jennifer A Tom, Cèlia Serna-Bolea, Agnes E van den Blink, Angélique B van 't Wout, Hanneke Schuitemaker, Marc A Suchard

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 21% of its field
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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Diana Edo-MatasDepartment of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, Center for Infection and Immunity Amsterdam at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands.
Philippe Lemey
Jennifer A Tom
Cèlia Serna-Bolea
Agnes E van den Blink
Angélique B van 't Wout
Hanneke Schuitemaker
Marc A Suchard
Sanquin · NLAcademic Medical Center · NLUniversity of Amsterdam · NL

Funding

Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Bayesian Joint Estimation of Alignment and PhylogenyR01GM086887 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUCHARD, MARC A. · 2008 to 2012
$1.5M
European Research Council 260864NHGRI NIH HHS T32 HG002536NIGMS NIH HHS GM86887NIGMS NIH HHS R01 GM086887
6 · The paper itself

Abstract

The interplay between C-C chemokine receptor type 5 (CCR5) host genetic background, disease progression, and intrahost HIV-1 evolutionary dynamics remains unclear because differences in viral evolution between hosts limit the ability to draw conclusions across hosts stratified into clinically relevant populations. Similar inference problems are proliferating across many measurably evolving pathogens for which intrahost sequence samples are readily available. To this end, we propose novel hierarchical phylogenetic models (HPMs) that incorporate fixed effects to test for differences in dynamics across host populations in a formal statistical framework employing stochastic search variable selection and model averaging. To clarify the role of CCR5 host genetic background and disease progression on viral evolutionary patterns, we obtain gp120 envelope sequences from clonal HIV-1 variants isolated at multiple time points in the course of infection from populations of HIV-1-infected individuals who only harbored CCR5-using HIV-1 variants at all time points. Presence or absence of a CCR5 wt/Δ32 genotype and progressive or long-term nonprogressive course of infection stratify the clinical populations in a two-way design. As compared with the standard approach of analyzing sequences from each patient independently, the HPM provides more efficient estimation of evolutionary parameters such as nucleotide substitution rates and d(N)/d(S) rate ratios, as shown by significant shrinkage of the estimator variance. The fixed effects also correct for nonindependence of data between populations and results in even further shrinkage of individual patient estimates. Model selection suggests an association between nucleotide substitution rate and disease progression, but a role for CCR5 genotype remains elusive. Given the absence of clear d(N)/d(S) differences between patient groups, delayed onset of AIDS symptoms appears to be solely associated with lower viral replication rates rather than with differences in selection on amino acid fixation.

Indexed as

Evolution, MolecularGene DeletionModels, GeneticAcquired Immunodeficiency SyndromeBayes TheoremCD4 Lymphocyte CountDisease ProgressionGenotypeHeterozygoteHIV-1HIV Envelope Protein gp120HIV InfectionsHost-Pathogen InteractionsHumansMalePhylogenyHIV Envelope Protein gp120Receptors, CCR5

Identifiers

PMID21135151
PMCPMC3080134
OpenAlexW2150920748

What OpenQuestion holds

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Registered trials

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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.