Evidence map›Paper›PMID 34578270›Full record

ArticleViruses2021

Large Evolutionary Rate Heterogeneity among and within HIV-1 Subtypes and CRFs.

Arshan Nasir, Mira Dimitrijevic, Ethan Romero-Severson, Thomas Leitner

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. HIV and Drug-Resistant Subtypes.Microorganisms · 2023
    Review
  10. Review
  11. 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

4 authors at 1 institution in 1 country.

Arshan NasirTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Mira DimitrijevicTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Ethan Romero-SeversonTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Thomas LeitnerTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0001-8160-2588
Los Alamos National Laboratory · US

Funding

Reconstructing HIV Epidemics from HIV PhylogeneticsR01AI087520 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI Thomas K. Leitner · 2010 to 2026
$11.2M
Leveraging public health genotyping databases for near real-time HIV surveillanceR01AI135946 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI LEITNER, THOMAS K. · 2019 to 2023
$4.2M
NIAID NIH HHS R01 AI087520NIAID NIH HHS R01 AI135946
6 · The paper itself

Abstract

HIV-1 is a fast-evolving, genetically diverse virus presently classified into several groups and subtypes. The virus evolves rapidly because of an error-prone polymerase, high rates of recombination, and selection in response to the host immune system and clinical management of the infection. The rate of evolution is also influenced by the rate of virus spread in a population and nature of the outbreak, among other factors. HIV-1 evolution is thus driven by a range of complex genetic, social, and epidemiological factors that complicates disease management and prevention. Here, we quantify the evolutionary (substitution) rate heterogeneity among major HIV-1 subtypes and recombinants by analyzing the largest collection of HIV-1 genetic data spanning the widest possible geographical (100 countries) and temporal (1981-2019) spread. We show that HIV-1 substitution rates vary substantially, sometimes by several folds, both across the virus genome and between major subtypes and recombinants, but also within a subtype. Across subtypes, rates ranged 3.5-fold from 1.34 × 10

Indexed as

Evolution, MolecularGenetic VariationPhylogenyHIV-1HIV InfectionsHumansevolutionary rateHIV-1phylogeneticssubtypes

Identifiers

PMID34578270
PMCPMC8473000
OpenAlexW3195300533

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.