Evidence map›Paper›PMID 33841912›Full record

ArticleVirus evolution2021

Alternate primers for whole-genome SARS-CoV-2 sequencing.

Matthew Cotten, Dan Lule Bugembe, Pontiano Kaleebu, My V T Phan

Abstract read
In one paragraph

Article in Virus evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny.bioRxiv : the preprint server for biology · 2024
    Article
  3. Article
  4. Epidemiologic investigation and genetic characterization of canine respiratory coronavirus in the Southeastern United States.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
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  20. SARS-CoV-2 Variants, South Sudan, January-March 2021.Emerging infectious diseases · 2021
    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.

Matthew CottenMRC/UVRI & London School of Hygiene and Tropical Medicine, 51-59 Nakiwoggo Road, Entebbe, Uganda.ORCID https://orcid.org/0000-0002-3361-3351
Dan Lule BugembeMRC/UVRI & London School of Hygiene and Tropical Medicine, 51-59 Nakiwoggo Road, Entebbe, Uganda.
Pontiano KaleebuMRC/UVRI & London School of Hygiene and Tropical Medicine, 51-59 Nakiwoggo Road, Entebbe, Uganda.
My V T PhanMRC/UVRI & London School of Hygiene and Tropical Medicine, 51-59 Nakiwoggo Road, Entebbe, Uganda.ORCID https://orcid.org/0000-0002-6905-8513

Funding

Medical Research Council MC_PC_20001Medical Research Council MC_PC_21004Medical Research Council MC_UU_00027/1Wellcome Trust
6 · The paper itself

Abstract

As the world is struggling to control the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), there is an urgency to develop effective control measures. Essential information is encoded in the virus genome sequence with accurate and complete SARS-CoV-2 sequences essential for tracking the movement and evolution of the virus and for guiding efforts to develop vaccines and antiviral drugs. While there is unprecedented SARS-CoV-2 sequencing efforts globally, approximately 19 to 43 per cent of the genomes generated monthly are gapped, reducing their information content. The current study documents the genome gap frequencies and their positions in the currently available data and provides an alternative primer set and a sequencing scheme to help improve the quality and coverage of the genomes.

Indexed as

COVID-19next generation sequencingprimersSARS-CoV-2

Identifiers

PMID33841912
PMCPMC7928614

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.