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.
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
1 September 2025
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).
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.
Text
NAR_manuscript_28072025
- Accepted Manuscript
Text
lqaf115
- Version of Record
More information
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
Catalogue record
Date deposited: 06 Oct 2025 16:35
Last modified: 07 Oct 2025 02:11
Export record
Altmetrics
Contributors
Author:
Fernando Vazquez Lopez
Author:
Guo Cheng
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics