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A systematic analysis of contemporary whole exome sequencing capture kits to optimise high-coverage capture of CCDS regions

A systematic analysis of contemporary whole exome sequencing capture kits to optimise high-coverage capture of CCDS regions
A systematic analysis of contemporary whole exome sequencing capture kits to optimise high-coverage capture of CCDS regions
Whole Exome Sequencing (WES) is a well-established tool for clinical diagnostics, is more cost-effective and faster to analyse than Whole Genome Sequencing (WGS) and has been implemented to uplift diagnostic rates in human disease. However, challenges remain to achieve comprehensive and uniform coverage of targets, and high sensitivity and specificity. Differences in genomic target regions and exome capture mechanism between kits may lead to differences in overall coverage uniformity and capture efficiency. Here, we analyse the efficiency of a range of off-the-shelf exome sequencing (ES) kits in capturing their reported targets and the Consensus Coding Sequence (CCDS) regions. Our results show Twist Custom Exome, Twist Human Comprehensive Exome, and Roche KAPA HyperExome V1 perform particularly well at capturing their target regions at 10X and 20X coverage and achieve the highest capture efficiency of CCDS regions, upon read downsampling. This was the case despite both Twist kits targeting less than 37Mb in the genome. Our analysis highlights the impact of kit target design on capture efficiency in WES, with kit target size and uniformity of coverage impacting the capture efficiency of CCDS regions. This benchmark will help researchers to make an informed decision based on their needs.
2631-9268
Vazquez Lopez, Fernando
c742b6a0-e354-471b-9f07-ef42240b7ada
Ashton, James J.
03369017-99b5-40ae-9a43-14c98516f37d
Cheng, Guo
fdfb3e03-f185-49b1-9c53-05b93bb6c8d0
Ennis, Sarah
7b57f188-9d91-4beb-b217-09856146f1e9
Vazquez Lopez, Fernando
c742b6a0-e354-471b-9f07-ef42240b7ada
Ashton, James J.
03369017-99b5-40ae-9a43-14c98516f37d
Cheng, Guo
fdfb3e03-f185-49b1-9c53-05b93bb6c8d0
Ennis, Sarah
7b57f188-9d91-4beb-b217-09856146f1e9

Vazquez Lopez, Fernando, Ashton, James J., Cheng, Guo and Ennis, Sarah (2025) A systematic analysis of contemporary whole exome sequencing capture kits to optimise high-coverage capture of CCDS regions. NAR Genomics and Bioinformatics, 7 (3), [lqaf115]. (doi:10.1093/nargab/lqaf115).

Record type: Article

Abstract

Whole Exome Sequencing (WES) is a well-established tool for clinical diagnostics, is more cost-effective and faster to analyse than Whole Genome Sequencing (WGS) and has been implemented to uplift diagnostic rates in human disease. However, challenges remain to achieve comprehensive and uniform coverage of targets, and high sensitivity and specificity. Differences in genomic target regions and exome capture mechanism between kits may lead to differences in overall coverage uniformity and capture efficiency. Here, we analyse the efficiency of a range of off-the-shelf exome sequencing (ES) kits in capturing their reported targets and the Consensus Coding Sequence (CCDS) regions. Our results show Twist Custom Exome, Twist Human Comprehensive Exome, and Roche KAPA HyperExome V1 perform particularly well at capturing their target regions at 10X and 20X coverage and achieve the highest capture efficiency of CCDS regions, upon read downsampling. This was the case despite both Twist kits targeting less than 37Mb in the genome. Our analysis highlights the impact of kit target design on capture efficiency in WES, with kit target size and uniformity of coverage impacting the capture efficiency of CCDS regions. This benchmark will help researchers to make an informed decision based on their needs.

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Accepted/In Press date: 7 August 2025
Published date: 1 September 2025

Identifiers

Local EPrints ID: 505280
URI: http://eprints.soton.ac.uk/id/eprint/505280
ISSN: 2631-9268
PURE UUID: 7c47356f-50ec-4dd3-959a-5f2951a320e0
ORCID for Fernando Vazquez Lopez: ORCID iD orcid.org/0009-0007-2974-9292
ORCID for James J. Ashton: ORCID iD orcid.org/0000-0003-0348-8198
ORCID for Sarah Ennis: ORCID iD orcid.org/0000-0003-2648-0869

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Date deposited: 06 Oct 2025 16:35
Last modified: 07 Oct 2025 02:11

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Contributors

Author: Fernando Vazquez Lopez ORCID iD
Author: James J. Ashton ORCID iD
Author: Guo Cheng
Author: Sarah Ennis ORCID iD

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