Variant-aware Cas-OFFinder: web-based <i>in silico</i> variant-aware potential off-target site identification for genome editing applications

Genome editing based on CRISPR systems has been widely used in the vast areas of biomedical and agricultural applications. However, identifying the potential off-target sites remains challenging, particularly in individuals with diverse genetic variations. Several in silico tools have been developed to predict potential off-target sites, but they have limitations on their performance and scalability. In this paper, we present "Variant-aware Cas-OFFinder," a novel pipeline based on Cas-OFFinder for identifying potential off-target sites by accounting for individual genetic variants. We benchmarked the pipeline's improved scalability and performance with the human genome and pepper cultivars, having unique potential off-target sites on each allele at the haplotype level. The web tool is open to all users without a login requirement and is freely available online at https://rgetoolkit.com/var-cas-offinder.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-05-08
DOI
https://doi.org/10.1093/nar/gkaf389
Citations
6
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
4.84

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article

Variant-aware Cas-OFFinder: web-based in silico variant-aware potential off-target site identification for genome editing applications

Jeongbin Park, Abyot Melkamu Mekonnen, Hye‐Ran Kim, Ki Cheol Seong
6 citations
Nucleic Acids Research
CRISPR and Genetic Engineering
4.84
article

Variant-aware Cas-OFFinder: web-based in silico variant-aware potential off-target site identification for genome editing applications

Jeongbin Park, Abyot Melkamu Mekonnen, Hye‐Ran Kim, Ki Cheol Seong
article en
6 citations

Abstract

Genome editing based on CRISPR systems has been widely used in the vast areas of biomedical and agricultural applications. However, identifying the potential off-target sites remains challenging, particularly in individuals with diverse genetic variations. Several in silico tools have been developed to predict potential off-target sites, but they have limitations on their performance and scalability. In this paper, we present "Variant-aware Cas-OFFinder," a novel pipeline based on Cas-OFFinder for identifying potential off-target sites by accounting for individual genetic variants. We benchmarked the pipeline's improved scalability and performance with the human genome and pepper cultivars, having unique potential off-target sites on each allele at the haplotype level. The web tool is open to all users without a login requirement and is freely available online at https://rgetoolkit.com/var-cas-offinder.

Nucleic Acids ResearchVol. 53(W1)
Kangwon National University (KR), Convergence (US), Pusan National University (KR)
Rural Development Administration, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Zero hunger
Openalex Percentile: Top 5%
CRISPR and Genetic Engineering
4.84
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Variant-aware Cas-OFFinder: web-based <i>in silico</i> variant-aware potential off-target site identification for genome editing applications — Jeongbin Park, Abyot Melkamu Mekonnen, et al. · Nucleic Acids Research (2025) | TGRS Research Map | TGRS