Evidence map›Paper›PMID 34308277›Full record

ArticleiScience2021

A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples.

Tiantian Liu, Zhong Chen, Wanqiu Chen, Xin Chen, Maryam Hosseini, Zhaowei Yang, Jing Li, Diana Ho, David Turay, Ciprian P Gheorghe and 2 more

Abstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  15. Mobile Efficient Diagnostics of Infectious Diseases via On-Chip RT-qPCR: MEDIC-PCR.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  16. Article
  17. Article
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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

12 authors.

Tiantian LiuCenter for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Zhong ChenCenter for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Wanqiu ChenCenter for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Xin ChenCenter for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Maryam HosseiniCenter for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Zhaowei YangCenter for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Jing LiDivision of Microbiology & Molecular Genetics, Department of Basic Science, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Diana HoCenter for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
David TurayDepartment of Surgery, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Ciprian P GheorgheDepartment of Gynecology & Obstetrics, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Wendell JonesEA Genomics, Division of Q Solutions, Morrisville, NC, USA.
Charles WangCenter for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, USA.

Funding

High Throughput DNA SequencerS10OD019960 · OD · LOMA LINDA UNIVERSITY · PI WANG, CHARLES · 2015 to 2015
$272k
NIH HHS S10 OD019960
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging new type of coronavirus that is responsible for the COVID-19 pandemic and the unprecedented global health emergency. Whole-genome sequencing (WGS) of SARS-CoV-2 plays a critical role in understanding the disease. Performance variation exists across SARS-CoV-2 viral WGS technologies, but there is currently no benchmarking study comparing different WGS sequencing protocols. We compared seven different SARS-CoV-2 WGS library protocols using RNA from patient nasopharyngeal swab samples under two storage conditions with low and high viral inputs. We found large differences in mappability and genome coverage, and variations in sensitivity, reproducibility, and precision of single-nucleotide variant calling across different protocols. For certain amplicon-based protocols, an appropriate primer trimming step is critical for accurate single-nucleotide variant calling. We ranked the performance of protocols based on six different metrics. Our findings offer guidance in choosing appropriate WGS protocols to characterize SARS-CoV-2 and its evolution.

Indexed as

Biological sciencesMicrobiologyMolecular biologyomicsVirology

Identifiers

PMID34308277
PMCPMC8294598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.