Evidence map›Paper›PMID 35962321›Full record

ArticleBMC genomics2022

Performance comparison of Agilent new SureSelect All Exon v8 probes with v7 probes for exome sequencing.

Vera Belova, Anna Shmitko, Anna Pavlova, Robert Afasizhev, Valery Cheranev, Anastasia Tabanakova, Natalya Ponikarovskaya, Denis Rebrikov, Dmitriy Korostin

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Vera BelovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russian Federation. verusik.belova@gmail.com.
Anna ShmitkoCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russian Federation.
Anna PavlovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russian Federation.
Robert AfasizhevCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russian Federation.
Valery CheranevCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russian Federation.
Anastasia TabanakovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russian Federation.
Natalya PonikarovskayaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russian Federation.
Denis RebrikovCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russian Federation.
Dmitriy KorostinCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russian Federation.
Pirogov Russian National Research Medical University · RU

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2019-1789
6 · The paper itself

Abstract

Exome sequencing is becoming a routine in health care, because it increases the chance of pinpointing the genetic cause of an individual patient's condition and thus making an accurate diagnosis. It is important for facilities providing genetic services to keep track of changes in the technology of exome capture in order to maximize throughput while reducing cost per sample. In this study, we focused on comparing the newly released exome probe set Agilent SureSelect Human All Exon v8 and the previous probe set v7. In preparation for higher throughput of exome sequencing using the DNBSEQ-G400, we evaluated target design, coverage statistics, and variants across these two different exome capture products. Although the target size of the v8 design has not changed much compared to the v7 design (35.24 Mb vs 35.8 Mb), the v8 probe design allows you to call more of SNVs (+ 3.06%) and indels (+ 8.49%) with the same number of raw reads per sample on the common target regions (34.84 Mb). Our results suggest that the new Agilent v8 probe set for exome sequencing yields better data quality than the current Agilent v7 set.

Indexed as

ExomeHigh-Throughput Nucleotide SequencingExome SequencingExonsHumansINDEL MutationAgilent SureSelectBGIEnrichment qualityExome sequencingMGISEQNGSVariant callingWES

Identifiers

PMID35962321
PMCPMC9375261
OpenAlexW4290861073

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.