Evidence map›Paper›PMID 21916749›Full record

ArticleAIDS research and human retroviruses2012

Sequence quality analysis tool for HIV type 1 protease and reverse transcriptase.

Allison K Delong, Mingham Wu, Diane Bennett, Neil Parkin, Zhijin Wu, Joseph W Hogan, Rami Kantor

Open access · greenAbstract read
In one paragraph

Article in AIDS research and human retroviruses, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.7field-weighted citation impact, top 17% 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, 36 citations in OpenAlex.

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  12. Accumulated pre-switch resistance to more recently introduced one-pill-once-a-day antiretroviral regimens impacts HIV-1 virologic outcome.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2018
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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

7 authors at 2 institutions in 1 country.

Allison K DelongCenter for Statistical Sciences, Brown University, Providence, Rhode Island 02906, USA.
Mingham Wu
Diane Bennett
Neil Parkin
Zhijin Wu
Joseph W Hogan
Rami Kantor
Brown University · USCenters for Disease Control and Prevention · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH · 1998 to 2026
$51.7M
HIV-1 Drug Resistance in Different SubtypesR01AI066922 · NIAID · STANFORD UNIVERSITY · PI KANTOR, RAMI, KATZENSTEIN, DAVID ALLENBERG · 2008 to 2012
$3.6M
NIAID NIH HHS P30 AI042853NIAID NIH HHS P30AI042853NIAID NIH HHS R01AI66922
6 · The paper itself

Abstract

Access to antiretroviral therapy is increasing globally and drug resistance evolution is anticipated. Currently, protease (PR) and reverse transcriptase (RT) sequence generation is increasing, including the use of in-house sequencing assays, and quality assessment prior to sequence analysis is essential. We created a computational HIV PR/RT Sequence Quality Analysis Tool (SQUAT) that runs in the R statistical environment. Sequence quality thresholds are calculated from a large dataset (46,802 PR and 44,432 RT sequences) from the published literature ( http://hivdb.Stanford.edu ). Nucleic acid sequences are read into SQUAT, identified, aligned, and translated. Nucleic acid sequences are flagged if with >five 1-2-base insertions; >one 3-base insertion; >one deletion; >six PR or >18 RT ambiguous bases; >three consecutive PR or >four RT nucleic acid mutations; >zero stop codons; >three PR or >six RT ambiguous amino acids; >three consecutive PR or >four RT amino acid mutations; >zero unique amino acids; or <0.5% or >15% genetic distance from another submitted sequence. Thresholds are user modifiable. SQUAT output includes a summary report with detailed comments for troubleshooting of flagged sequences, histograms of pairwise genetic distances, neighbor joining phylogenetic trees, and aligned nucleic and amino acid sequences. SQUAT is a stand-alone, free, web-independent tool to ensure use of high-quality HIV PR/RT sequences in interpretation and reporting of drug resistance, while increasing awareness and expertise and facilitating troubleshooting of potentially problematic sequences.

Indexed as

Base SequenceDrug Resistance, ViralHIV-1HIV InfectionsHIV ProteaseHIV Reverse TranscriptasePeptide HydrolasesPhylogenySequence Analysis, DNAHIV ProteaseHIV Reverse Transcriptasep16 protease, Human immunodeficiency virus 1Peptide Hydrolases

Identifiers

PMID21916749
PMCPMC3399557
OpenAlexW2004961040

What OpenQuestion holds

Textmetadata
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.