Evidence map›Paper›PMID 25878342›Full record

Trial reportJournal of clinical microbiology2015

Genotype- and Subtype-Independent Full-Genome Sequencing Assay for Hepatitis C Virus.

Charlotte Hedskog, Krishna Chodavarapu, Karin S Ku, Simin Xu, Ross Martin, Michael D Miller, Hongmei Mo, Evguenia Svarovskaia

Abstract readClinical Trial, Phase IIClinical Trial, Phase III
In one paragraph

Trial report in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Reinfection and Resistance Associated Substitutions Following a Minimal Monitoring Approach for Hepatitis C Virus Treatment in MINMON Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
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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

8 authors.

Charlotte HedskogGilead Sciences, Inc., Foster City, California, USA.
Krishna ChodavarapuGilead Sciences, Inc., Foster City, California, USA.
Karin S KuGilead Sciences, Inc., Foster City, California, USA.
Simin XuGilead Sciences, Inc., Foster City, California, USA.
Ross MartinGilead Sciences, Inc., Foster City, California, USA.
Michael D MillerGilead Sciences, Inc., Foster City, California, USA.
Hongmei MoGilead Sciences, Inc., Foster City, California, USA.
Evguenia SvarovskaiaGilead Sciences, Inc., Foster City, California, USA evguenia.svarovskaia@gilead.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus (HCV) exhibits a high genetic diversity and is classified into 6 genotypes, which are further divided into 66 subtypes. Current sequencing strategies require prior knowledge of the HCV genotype and subtype for efficient amplification, making it difficult to sequence samples with a rare or unknown genotype and/or subtype. Here, we describe a subtype-independent full-genome sequencing assay based on a random amplification strategy coupled with next-generation sequencing. HCV genomes from 17 patient samples with both common subtypes (1a, 1b, 2a, 2b, and 3a) and rare subtypes (2c, 2j, 3i, 4a, 4d, 5a, 6a, 6e, and 6j) were successfully sequenced. On average, 3.7 million reads were generated per sample, with 15% showing HCV specificity. The assembled consensus sequences covered 99.3% to 100% of the HCV coding region, and the average coverage was 6,070 reads/position. The accuracy of the generated consensus sequence was estimated to be >99% based on results from in vitro HCV replicon amplification, with the same extrapolated amount of input RNA molecules as that for the patient samples. Taken together, the HCV genomes from 17 patient samples were successfully sequenced, including samples with subtypes that have limited sequence information. This method has the potential to sequence any HCV patient sample, independent of genotype or subtype. It may be especially useful in confounding cases, like those with rare subtypes, intergenotypic recombination, or multiple genotype infections, and may allow greater insight into HCV evolution, its genetic diversity, and drug resistance development.

Indexed as

Genome, ViralHepacivirusHepatitis CHigh-Throughput Nucleotide SequencingHumansRNA, ViralSequence Analysis, DNARNA, Viral

Identifiers

PMID25878342
PMCPMC4473213

What OpenQuestion holds

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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.