Evidence map›Paper›PMID 32102090›Full record

ArticlePloS one2020

Analysis of unusual and signature APOBEC-mutations in HIV-1 pol next-generation sequences.

Philip L Tzou, Sergei L Kosakovsky Pond, Santiago Avila-Rios, Susan P Holmes, Rami Kantor, Robert W Shafer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Utilizing HIV Proviral DNA to Assess for the Presence of HIV Drug Resistance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Review
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  14. Use of genotypic HIV DNA testing: a DELPHI-type consensus.The Journal of antimicrobial chemotherapy · 2024
    Article
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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

6 authors at 3 institutions in 1 country.

Philip L TzouDivision of Infectious Diseases, Department of Medicine, Stanford University, Stanford, CA, United States of America.ORCID 0000-0002-2876-1552
Sergei L Kosakovsky PondInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States of America.
Santiago Avila-RiosCentre for Research in Infectious Diseases, National Institute of Respiratory Diseases, Tlalpan, Mexico City, Mexico.
Susan P HolmesDepartment of Statistics, Stanford University, Stanford, CA, United States of America.
Rami KantorDivision of Infectious Diseases, Department of Medicine, Brown University, Providence, RI, United States of America.
Robert W ShaferDivision of Infectious Diseases, Department of Medicine, Stanford University, Stanford, CA, United States of America.
Stanford University · USBrown University · USTemple University · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH · 1998 to 2026
$51.7M
HIV Drug Resistance DatabaseR24AI136618 · NIAID · STANFORD UNIVERSITY · PI ROBERT William SHAFER · 2018 to 2026
$7.3M
Turning big data analysis infrastructure for HIV researchR01AI134384 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, POND, SERGEI L KOSAKOVSKY · 2017 to 2021
$4.2M
HyPhy: Molecular Evolutionary AnalysesR01GM093939 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI MUSE, SPENCER V., POND, SERGEI L KOSAKOVSKY · 2010 to 2018
$2.5M
NIAID NIH HHS P30 AI042853NIAID NIH HHS R01 AI134384NIAID NIH HHS R24 AI136618NIGMS NIH HHS R01 GM093939
6 · The paper itself

Abstract

introductionAt low mutation-detection thresholds, next generation sequencing (NGS) for HIV-1 genotypic resistance testing is susceptible to artifactual detection of mutations arising from PCR error and APOBEC-mediated G-to-A hypermutation.

methodsWe analyzed published HIV-1 pol Illumina NGS data to characterize the distribution of mutations at eight NGS mutation detection thresholds: 20%, 10%, 5%, 2%, 1%, 0.5%, 0.2%, and 0.1%. At each threshold, we determined proportions of amino acid mutations that were unusual (defined as having a prevalence <0.01% in HIV-1 group M sequences) or signature APOBEC mutations.

resultsEight studies, containing 855 samples, in the NCBI Sequence Read Archive were analyzed. As detection thresholds were lowered, there was a progressive increase in the proportion of positions with usual and unusual mutations and in the proportion of all mutations that were unusual. The median proportion of positions with an unusual mutation increased gradually from 0% at the 20% threshold to 0.3% at the 1% threshold and then exponentially to 1.3% (0.5% threshold), 6.9% (0.2% threshold), and 23.2% (0.1% threshold). In two of three studies with available plasma HIV-1 RNA levels, the proportion of positions with unusual mutations was negatively associated with virus levels. Although the complete set of signature APOBEC mutations was much smaller than that of unusual mutations, the former outnumbered the latter in one-sixth of samples at the 0.5%, 1%, and 2% thresholds.

conclusionsThe marked increase in the proportion of positions with unusual mutations at thresholds below 1% and in samples with lower virus loads suggests that, at low thresholds, many unusual mutations are artifactual, reflecting PCR error or G-to-A hypermutation. Profiling the numbers of unusual and signature APOBEC pol mutations at different NGS mutation detection thresholds may be useful to avoid selecting a threshold that is too low and poses an unacceptable risk of identifying artifactual mutations.

Indexed as

MutationAmino AcidsAPOBEC DeaminasesCodonDrug Resistance, ViralGenotypeHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHumanspol Gene Products, Human Immunodeficiency VirusRNA, ViralViral LoadAmino AcidsAPOBEC DeaminasesCodonpol Gene Products, Human Immunodeficiency VirusRNA, Viral

Identifiers

PMID32102090
PMCPMC7043932
OpenAlexW3008747227

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.