Evidence map›Paper›PMID 21436045›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

Estimate of effective recombination rate and average selection coefficient for HIV in chronic infection.

Rebecca Batorsky, Mary F Kearney, Sarah E Palmer, Frank Maldarelli, Igor M Rouzine, John M Coffin

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

71 citing papers in PubMed, 112 citations in OpenAlex.

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  11. Elevated HIV viral load is associated with higher recombination ratebioRxiv : the preprint server for biology · 2023
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11 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Rebecca BatorskyDepartment of Physics and Astronomy, Tufts University, Medford, MA 02155, USA.
Mary F Kearney
Sarah E Palmer
Frank Maldarelli
Igor M Rouzine
John M Coffin
National Cancer Institute · USTufts University · US

Funding

HIV-1 Genetic Variation in Infected IndividualsZIABC010819 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MALDARELLI, FRANK · 2009 to 2025
$9.9M
Retrovirus EvolutionR37CA089441 · NCI · TUFTS UNIVERSITY BOSTON · PI COFFIN, JOHN M · 2006 to 2015
$6.5M
Working Models of HIV Persistence & EvolutionR01AI063926 · NIAID · TUFTS UNIVERSITY BOSTON · PI ROUZINE, IGOR M · 2006 to 2008
$956k
NCI NIH HHS R37 CA089441NCI NIH HHS R37CA 089441NIAID NIH HHS R01 AI063926NIAID NIH HHS R01AI063926
6 · The paper itself

Abstract

HIV adaptation to a host in chronic infection is simulated by means of a Monte-Carlo algorithm that includes the evolutionary factors of mutation, positive selection with varying strength among sites, random genetic drift, linkage, and recombination. By comparing two sensitive measures of linkage disequilibrium (LD) and the number of diverse sites measured in simulation to patient data from one-time samples of pol gene obtained by single-genome sequencing from representative untreated patients, we estimate the effective recombination rate and the average selection coefficient to be on the order of 1% per genome per generation (10(-5) per base per generation) and 0.5%, respectively. The adaptation rate is twofold higher and fourfold lower than predicted in the absence of recombination and in the limit of very frequent recombination, respectively. The level of LD and the number of diverse sites observed in data also range between the values predicted in simulation for these two limiting cases. These results demonstrate the critical importance of finite population size, linkage, and recombination in HIV evolution.

Indexed as

AlgorithmsModels, GeneticSelection, GeneticAdaptation, BiologicalComputer SimulationGenetic DriftHaplotypesHIV-1HIV InfectionsHumansLinkage DisequilibriumMonte Carlo MethodRecombination, Genetic

Identifiers

PMID21436045
PMCPMC3078368
OpenAlexW1971649589

What OpenQuestion holds

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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.