Evidence map›Paper›PMID 32424187›Full record

ArticleScientific reports2020

A single variant sequencing method for sensitive and quantitative detection of HIV-1 minority variants.

Gurjit Sidhu, Layla Schuster, Lin Liu, Ryan Tamashiro, Eric Li, Taimour Langaee, Richard Wagner, Gary P Wang

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

8 authors.

Gurjit Sidhu *Division of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA.
Layla Schuster *Division of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA.
Lin LiuDivision of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA.
Ryan TamashiroDivision of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA.
Eric LiDivision of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA.
Taimour LangaeeDepartment of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Richard WagnerMedosome Biosciences, Alachua, FL, USA.
Gary P WangDivision of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA. gary.wang@medicine.ufl.edu.

Funding

A method for accurate and sensitive detection of HIV drug-resistant minority variantsR41AI122855 · NIAID · MEDOSOME BIOTEC, LLC · PI WANG, GARY P. · 2016 to 2016
$253k
Next generation quantitative HCV drug resistance assayR43DK112540 · NIDDK · MEDOSOME BIOTEC, LLC · PI WAGNER, RICHARD, WANG, GARY P. · 2017 to 2017
$232k
NIAID NIH HHS R41 AI122855NIDDK NIH HHS R43 DK112540
6 · The paper itself

Abstract

HIV drug resistance is a major threat to achieving long-term viral suppression in HIV-positive individuals. Drug resistant HIV variants, including minority variants, can compromise response to antiretroviral therapy. Many studies have investigated the clinical relevance of drug resistant minority variants, but the level at which minority variants become clinically relevant remains unclear. A combination of Primer-ID and deep sequencing is a promising approach that may quantify minority variants more accurately compared to standard deep sequencing. However, most studies that used the Primer-ID method have analyzed clinical samples directly. Thus, its sensitivity and quantitative accuracy have not been adequately validated using known controls. Here, we constructed defined proportions of artificial RNA and virus quasispecies and measured their relative proportions using the Primer-ID based, quantitative single-variant sequencing (qSVS) assay. Our results showed that minority variants present at 1% of quasispecies were detected reproducibly with minimal variations between technical replicates. In addition, the measured frequencies were comparable to the expected frequencies. These data validate the accuracy and reproducibility of the qSVS assay in quantifying authentic HIV minority variants, and support the use of this approach to examine the impacts of minority HIV variants on virologic response and clinical outcome.

Indexed as

Limit of DetectionPolymorphism, Single NucleotideHIV-1Plasmids

Identifiers

PMID32424187
PMCPMC7234988

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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.