Evidence map›Paper›PMID 17428864›Full record

ArticleJournal of virology2007

Comparative study of methods for detecting sequence compartmentalization in human immunodeficiency virus type 1.

Selene Zárate, Sergei L Kosakovsky Pond, Paul Shapshak, Simon D W Frost

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of virology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

75 citing papers in PubMed, 103 citations in OpenAlex.

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15 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

4 authors at 2 institutions in 1 country.

Selene ZárateAntiviral Research Center, 150 W Washington St., Ste. 100, San Diego, CA 92103, USA. cszarate@ucsd.edu
Sergei L Kosakovsky Pond
Paul Shapshak
Simon D W Frost
University of California, San Diego · USUniversity of Miami · US

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
Southern California Primary Infection ProgramU01AI043638 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 1998 to 2010
$21.3M
Biomathematical analysis of viral dynamics/evolutionR01AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2001 to 2011
$3.2M
COMMUNITY DEPOSIT AND REVIEW OF BIOCHEMICAL DATABASESR01GM056529 · NIGMS · WASHINGTON UNIVERSITY · PI KAZIC, TONI · 1997 to 2006
$2.4M
Modeling HIV Escape from Neutralizing Antibody ResponesR01AI057167 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FROST, SIMON DAVID WILLIAM · 2004 to 2008
$1.2M
HIV INFECTION POTENTIAL /IDU-RELATED INJECTION MATERIALSR01DA012580 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI PAGE, JOHN BRYAN · 2000 to 2002
$1.2M
GENE EXPRESSION IN HIV ASSOCIATED DEMENTIA BRAINR21DA014533 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SHAPSHAK, PAUL · 2001 to 2004
$795k
Biomathematical Analysis of Viral Dynamics and EvolutionR56AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POND, SERGEI L KOSAKOVSKY · 2012 to 2012
$365k
BIOMATHEMATICAL ANALYSIS OF VIRAL DYNAMICS AND EVOLUTIONR21AI047745 · NIAID · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI RICHMAN, DOUGLAS D · 2000 to 2000
$308k
NIAID NIH HHS AI36214NIAID NIH HHS AI43638NIAID NIH HHS AI47745NIAID NIH HHS AI57167NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI047745NIAID NIH HHS R01 AI057167NIAID NIH HHS R21 AI047745NIAID NIH HHS R56 AI047745NIAID NIH HHS U01 AI043638NIDA NIH HHS DA12580NIDA NIH HHS DA14533NIDA NIH HHS R01 DA012580NIDA NIH HHS R21 DA014533NIGMS NIH HHS GM056529NIGMS NIH HHS R01 GM056529
6 · The paper itself

Abstract

Human immunodeficiency virus (HIV) infects different organs and tissues. During these infection events, subpopulations of HIV type 1 (HIV-1) develop and, if viral trafficking is restricted between subpopulations, the viruses can follow independent evolutionary histories, i.e., become compartmentalized. This phenomenon is usually detected via comparative sequence analysis and has been reported for viruses isolated from the central nervous system (CNS) and the genital tract. Several approaches have been proposed to study the compartmentalization of HIV sequences, but to date, no rigorous comparison of the most commonly employed methods has been made. In this study, we systematically compared inferences made by six different methods for detecting compartmentalization based on three data sets: (i) a sample of 45 patients with sequences gathered from the CNS, (ii) sequences from the female genital tract of 18 patients, and (iii) a set of simulated sequences. We found that different methods often reached contradictory conclusions. Methods based on the topology of a phylogenetic tree derived from clonal sequences were generally more sensitive in detecting compartmentalization than those that relied solely upon pairwise genetic distances between sequences. However, as the branching structure in a phylogenetic tree is often uncertain, especially for short, low-diversity, or recombinant sequences, tree-based approaches may need to be modified to take phylogenetic uncertainty into account. Given the frequently discordant predictions of different methods and the strengths and weaknesses of each particular methodology, we recommend that a suite of several approaches be used for reliable inference of compartmentalized population structure.

Indexed as

Genetic TechniquesBrainCentral Nervous SystemDatabases, GeneticEvolution, MolecularFemaleGenitalia, FemaleHIV-1HIV InfectionsHumansMaleModels, StatisticalPhylogenyRecombination, Genetic

Identifiers

PMID17428864
PMCPMC1900087
OpenAlexW2110784409

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.