Evidence map›Paper›PMID 27099321›Full record

ArticleJournal of virology2016

HIV-1 Protease, Reverse Transcriptase, and Integrase Variation.

Soo-Yon Rhee, Kris Sankaran, Vici Varghese, Mark A Winters, Christopher B Hurt, Joseph J Eron, Neil Parkin, Susan P Holmes, Mark Holodniy, Robert W Shafer

Open access · hybridAbstract read
In one paragraph

Article in Journal of virology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
9.4field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

  1. A systematic review of the genetic mechanisms of dolutegravir resistance.The Journal of antimicrobial chemotherapy · 2019
    Pooled it
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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

10 authors at 4 institutions in 1 country.

Soo-Yon RheeDepartment of Medicine, Stanford University, Stanford, California, USA syrhee@stanford.edu.
Kris SankaranDepartment of Statistics, Stanford University, Stanford, California, USA.
Vici VargheseDepartment of Medicine, Stanford University, Stanford, California, USA.
Mark A WintersDepartment of Medicine, Stanford University, Stanford, California, USA.
Christopher B HurtInstitute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Joseph J EronInstitute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Neil ParkinData First Consulting, Belmont, California, USA.
Susan P HolmesDepartment of Statistics, Stanford University, Stanford, California, USA.
Mark HolodniyDepartment of Medicine, Stanford University, Stanford, California, USA.
Robert W ShaferDepartment of Medicine, Stanford University, Stanford, California, USA.
Stanford University · USUniversity of North Carolina at Chapel Hill · USFirst Consulting Group (United States) · USOffice of the Assistant Secretary for Health · US

Funding

PUBLIC HIV DRUG RESISTANCE DATABASER01AI068581 · NIAID · STANFORD UNIVERSITY · PI SHAFER, ROBERT WILLIAM · 2006 to 2017
$6.2M
NIAID NIH HHS R01 AI068581
6 · The paper itself

Abstract

unlabelledHIV-1 protease (PR), reverse transcriptase (RT), and integrase (IN) variability presents a challenge to laboratories performing genotypic resistance testing. This challenge will grow with increased sequencing of samples enriched for proviral DNA such as dried blood spots and increased use of next-generation sequencing (NGS) to detect low-abundance HIV-1 variants. We analyzed PR and RT sequences from >100,000 individuals and IN sequences from >10,000 individuals to characterize variation at each amino acid position, identify mutations indicating APOBEC-mediated G-to-A editing, and identify mutations resulting from selective drug pressure. Forty-seven percent of PR, 37% of RT, and 34% of IN positions had one or more amino acid variants with a prevalence of ≥1%. Seventy percent of PR, 60% of RT, and 60% of IN positions had one or more variants with a prevalence of ≥0.1%. Overall 201 PR, 636 RT, and 346 IN variants had a prevalence of ≥0.1%. The median intersubtype prevalence ratios were 2.9-, 2.1-, and 1.9-fold for these PR, RT, and IN variants, respectively. Only 5.0% of PR, 3.7% of RT, and 2.0% of IN variants had a median intersubtype prevalence ratio of ≥10-fold. Variants at lower prevalences were more likely to differ biochemically and to be part of an electrophoretic mixture compared to high-prevalence variants. There were 209 mutations indicative of APOBEC-mediated G-to-A editing and 326 mutations nonpolymorphic treatment selected. Identification of viruses with a high number of APOBEC-associated mutations will facilitate the quality control of dried blood spot sequencing. Identifying sequences with a high proportion of rare mutations will facilitate the quality control of NGS. IMPORTANCE: Most antiretroviral drugs target three HIV-1 proteins: PR, RT, and IN. These proteins are highly variable: many different amino acids can be present at the same position in viruses from different individuals. Some of the amino acid variants cause drug resistance and occur mainly in individuals receiving antiretroviral drugs. Some variants result from a human cellular defense mechanism called APOBEC-mediated hypermutation. Many variants result from naturally occurring mutation. Some variants may represent technical artifacts. We studied PR and RT sequences from >100,000 individuals and IN sequences from >10,000 individuals to quantify variation at each amino acid position in these three HIV-1 proteins. We performed analyses to determine which amino acid variants resulted from antiretroviral drug selection pressure, APOBEC-mediated editing, and naturally occurring variation. Our results provide information essential to clinical, research, and public health laboratories performing genotypic resistance testing by sequencing HIV-1 PR, RT, and IN.

Indexed as

Genetic VariationAmino Acid SequenceAnti-HIV AgentsAPOBEC DeaminasesDrug Resistance, ViralGenotypeHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHIV IntegraseHIV ProteaseHIV Reverse TranscriptaseHumansMutationReverse Transcriptase InhibitorsAnti-HIV AgentsAPOBEC DeaminasesHIV IntegraseHIV ProteaseHIV Reverse Transcriptasep16 protease, Human immunodeficiency virus 1Reverse Transcriptase Inhibitors

Identifiers

PMID27099321
PMCPMC4907232
OpenAlexW2337619770

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.