Evidence map›Paper›PMID 35022470›Full record

ArticleScientific reports2022

System analysis of the sequencing quality of human whole exome samples on BGI NGS platform.

Vera Belova, Anna Pavlova, Robert Afasizhev, Viktoriya Moskalenko, Margarita Korzhanova, Andrey Krivoy, Valery Cheranev, Boris Nikashin, Irina Bulusheva, Denis Rebrikov and 1 more

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Experience in developing the human genome standard E701.NAR genomics and bioinformatics · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

11 authors.

Vera BelovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997. verusik.belova@gmail.com.
Anna PavlovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997.
Robert AfasizhevCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997.
Viktoriya MoskalenkoCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997.
Margarita KorzhanovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997.
Andrey KrivoyCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997.
Valery CheranevCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997.
Boris NikashinCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997.
Irina BulushevaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997.
Denis RebrikovCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997.
Dmitriy KorostinCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Ostovityanova str. 1, Moscow, Russian Federation, 117997.

Funding

Ministry of Science and Higher Education of the Russian Federation №075-15-2019-1789
6 · The paper itself

Abstract

Human exome sequencing is a classical method used in most medical genetic applications. The leaders in the field are the manufacturers of enrichment kits based on hybridization of cRNA or cDNA biotinylated probes specific for a genomic region of interest. Recently, the platforms manufactured by the Chinese company MGI Tech have become widespread in Europe and Asia. The reliability and quality of the obtained data are already beyond any doubt. However, only a few kits compatible with these sequencers can be used for such specific tasks as exome sequencing. We developed our own solution for library pre-capture pooling and exome enrichment with Agilent probes. In this work, using a set of the standard benchmark samples from the Platinum Genome collection, we demonstrate that the qualitative and quantitative parameters of our protocol which we called "RSMU_exome" exceed those of the MGI Tech kit. Our protocol allows for identifying more SNV and indels, generates fewer PCR duplicates, enables pooling of more samples in a single enrichment procedure, and requires less raw data to obtain results comparable with the MGI Tech's protocol. The cost of our protocol is also lower than that of MGI Tech's solution.

Indexed as

DNA ProbesBase CompositionExome SequencingHumansINDEL MutationPolymorphism, Single NucleotideDNA Probes

Identifiers

PMID35022470
PMCPMC8755732

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.