Evidence map›Paper›PMID 37081087›Full record

ArticleScientific reports2023

Comparison of SARS-CoV-2 whole genome sequencing using tiled amplicon enrichment and bait hybridization.

Anita Koskela von Sydow, Carl Mårten Lindqvist, Naveed Asghar, Magnus Johansson, Martin Sundqvist, Paula Mölling, Bianca Stenmark

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. The respiratory tract virome: unravelling the role of viral dark matter in respiratory health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. 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

7 authors.

Anita Koskela von SydowDepartment of Laboratory Medicine, Clinical Pathology and Genetics, Faculty of Medicine and Health, Örebro University, Örebro, Sweden. anita.koskela-vonsydow@oru.se.
Carl Mårten LindqvistSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Naveed AsgharSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Magnus JohanssonSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Martin SundqvistDepartment of Laboratory Medicine, Clinical Microbiology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Paula MöllingClinical Genomics, Science for Life Laboratory, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Bianca StenmarkDepartment of Laboratory Medicine, Clinical Pathology and Genetics, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) pandemic has led to extensive virological monitoring by whole genome sequencing (WGS). Investigating the advantages and limitations of different protocols is key when conducting population-level WGS. SARS-CoV-2 positive samples with Ct values of 14-30 were run using three different protocols: the Twist Bioscience SARS‑CoV‑2 protocol with bait hybridization enrichment sequenced with Illumina, and two tiled amplicon enrichment protocols, ARTIC V3 and Midnight, sequenced with Illumina and Oxford Nanopore Technologies, respectively. Twist resulted in better coverage uniformity and coverage of the entire genome, but has several drawbacks: high human contamination, laborious workflow, high cost, and variation between batches. The ARTIC and Midnight protocol produced an even coverage across samples, and almost all reads were mapped to the SARS-CoV-2 reference. ARTIC and Midnight represent robust, cost-effective, and highly scalable methods that are appropriate in a clinical environment. Lineage designations were uniform across methods, representing the dominant lineages in Sweden during the period of collection. This study provides insights into methodological differences in SARS‑CoV‑2 sequencing and guidance in selecting suitable methods for various purposes.

Indexed as

COVID-19SARS-CoV-2Genome, ViralHumansNucleic Acid HybridizationSequence AnalysisWhole Genome Sequencing

Identifiers

PMID37081087
PMCPMC10116481

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.