Evidence map›Paper›PMID 32912136›Full record

ArticleBMC genomics2020

A comparison of BeadChip and WGS genotyping outputs using partial validation by sanger sequencing.

Kirill A Danilov, Dimitri A Nikogosov, Sergey V Musienko, Ancha V Baranova

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 at 1 institution in 2 countries.

Kirill A DanilovAtlas Biomed Group Limited, Tintagel House, 92 Albert Embankment, Lambeth, London, SE1 7TY, UK. danilov@atlasbiomed.com.
Dimitri A NikogosovAtlas Biomed Group Limited, Tintagel House, 92 Albert Embankment, Lambeth, London, SE1 7TY, UK.
Sergey V MusienkoAtlas Biomed Group Limited, Tintagel House, 92 Albert Embankment, Lambeth, London, SE1 7TY, UK.
Ancha V BaranovaSchool of Systems Biology, George Mason University, 10900 University Blvd, Fairfax, VA, 22030, USA.
Research Centre for Medical Genetics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHead-to-head comparison of BeadChip and WGS/WES genotyping techniques for their precision is far from straightforward. A tool for validation of high-throughput genotyping calls such as Sanger sequencing is neither scalable nor practical for large-scale DNA processing. Here we report a cross-validation analysis of genotyping calls obtained via Illumina GSA BeadChip and WGS (Illumina HiSeq X Ten) techniques.

resultsWhen compared to each other, the average precision and accuracy of BeadChip and WGS genotyping techniques exceeded 0.991 and 0.997, respectively. The average fraction of discordant variants for both platforms was found to be 0.639%. A sliding window approach was utilized to explore genomic regions not exceeding 500 bp encompassing a maximal amount of discordant variants for further validation by Sanger sequencing. Notably, 12 variants out of 26 located within eight identified regions were consistently discordant in related calls made by WGS and BeadChip. When Sanger sequenced, a total of 16 of these genotypes were successfully resolved, indicating that a precision of WGS and BeadChip genotyping for this genotype subset was at 0.81 and 0.5, respectively, with accuracy values of 0.87 and 0.61.

conclusionsWe conclude that WGS genotype calling exhibits higher overall precision within the selected variety of discordantly genotyped variants, though the amount of validated variants remained insufficient.

Indexed as

Genotyping TechniquesPolymorphism, Single NucleotideGenomeGenotypeHigh-Throughput Nucleotide SequencingGenotype concordanceMicroarray genotypingSanger sequencingWESWGSWhole genome sequencing

Identifiers

PMID32912136
PMCPMC7488117
OpenAlexW3084278378

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.