Evidence map›Paper›PMID 39871131›Full record

ArticleBMC genomics2025

Comparative evaluation of four exome enrichment solutions in 2024: Agilent, Roche, Vazyme and Nanodigmbio.

Vera Belova, Iuliia Vasiliadis, Zhanna Repinskaia, Alina Samitova, Anna Shmitko, Natalya Ponikarovskaya, Oleg Suchalko, Valery Cheranev, Shatalov Peter, Shegai Peter and 3 more

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

13 authors.

Vera BelovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russia. verusik.belova@gmail.com.
Iuliia VasiliadisCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russia.
Zhanna RepinskaiaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russia.
Alina SamitovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russia.
Anna ShmitkoCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russia.
Natalya PonikarovskayaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russia.
Oleg SuchalkoCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russia.
Valery CheranevCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russia.
Shatalov PeterNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Koroleva st. 4, Obninsk, 249036, Russia.
Shegai PeterNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Koroleva st. 4, Obninsk, 249036, Russia.
Kaprin AndreyNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Koroleva st. 4, Obninsk, 249036, Russia.
Denis RebrikovCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russia.
Dmitriy KorostinCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova str. 1, Moscow, 117997, Russia.

Funding

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

Abstract

Whole exome sequencing (WES) is essential for identifying genetic variants linked to diseases. This study compares available to date four exome enrichment kits: Agilent SureSelect Human All Exon v8, Roche KAPA HyperExome, Vazyme VAHTS Target Capture Core Exome Panel, and Nanodigmbio NEXome Plus Panel v1. We evaluated target design, coverage statistics, and variant calling accuracy across these four different exome capture products. All kits showed high target coverage, with 10x coverage exceeding 97.5% and 20x coverage above 95%. Roche exhibited the most uniform coverage, indicated by the lowest fold-80 scores, while Nanodigmbio had more on-target reads due to fewer off-target reads. Variant calling performance, evaluated using in-lab standard E701 DNA sample, showed high recall rates for all kits, especially Agilent v8. All kits achieved an F-measure above 95.87%. Nanodigmbio had the highest precision with the fewest false positives but a slightly lower F-measure than other kits. This study also highlights the performance of new solutions from Vazyme (China) and Nanodigmbio (China), which were comparable to Agilent v8 and Roche KAPA kits. These findings assist researchers and clinicians in selecting appropriate exome capture solutions.

Indexed as

ExomeExome SequencingHigh-Throughput Nucleotide SequencingHumansAgilentCoverage uniformityExome enrichment kitsNanodigmbioPerformance comparisonRocheVariant callingVazymeWhole exome sequencing

Identifiers

PMID39871131
PMCPMC11770928

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.