Evidence map›Paper›PMID 39192205›Full record

ArticleBMC bioinformatics2024

HerpesDRG: a comprehensive resource for human herpesvirus antiviral drug resistance genotyping.

O J Charles, C Venturini, R A Goldstein, J Breuer

Abstract read
In one paragraph

Article in BMC bioinformatics, 2024. 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. Genomic and geographical structure of human cytomegalovirus.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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.

O J CharlesDepartment of Infection, Immunity and Inflammation, University College London, Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK. oscar.charles.18@ucl.ac.uk.
C VenturiniDepartment of Infection, Immunity and Inflammation, University College London, Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.
R A GoldsteinDivision of Infection and Immunity, University College London, London, WC1E 6BT, UK.
J BreuerDepartment of Infection, Immunity and Inflammation, University College London, Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.

Funding

Medical Research Council MR/N013867/1Wellcome TrustWellcome Trust 204870/Z/16/Z
6 · The paper itself

Abstract

The prevention and treatment of many herpesvirus associated diseases is based on the utilization of antiviral therapies, however therapeutic success is limited by the development of drug resistance. Currently no single database cataloguing resistance mutations exists, which hampers the use of sequence data for patient management. We therefore developed HerpesDRG, a drug resistance mutation database that incorporates all the known resistance genes and current treatment options, built from a systematic review of available genotype to phenotype literature. The database is released along with an R package that provides a simple approach to resistance variant annotation and clinical implication analysis from common sanger and next generation sequencing data. This represents the first openly available and community maintainable database of drug resistance mutations for the human herpesviruses (HHV), developed for the community of researchers and clinicians tackling HHV drug resistance.

Indexed as

Antiviral AgentsDrug Resistance, ViralGenotypeDatabases, GeneticHerpesviridaeHumansMutationAntiviral AgentsAciclovirAmenamevirCMVDatabaseDrug-resistanceGanciclovirHerpesLetermovirVZV

Identifiers

PMID39192205
PMCPMC11350968

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.