Evidence map›Paper›PMID 40337925›Full record

ArticleNucleic acids research2025

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

Abyot Melkamu Mekonnen, Kang Seong, Hyeran Kim, Jeongbin Park

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 10 years of CRISPR/CAS genomic engineering in Yarrowia lipolytica.Bioprocess and biosystems engineering · 2026
    Review
  5. Review
  6. Review
  7. Article
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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

4 authors.

Abyot Melkamu MekonnenDepartment of Information Convergence Engineering, Pusan National University, Yangsan, 50612, Republic of Korea.ORCID 0009-0007-7584-1882
Kang SeongSchool of Biomedical Convergence Engineering, Pusan National University, Yangsan, 50612, Republic of Korea.
Hyeran KimDepartment of Biological Sciences, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Jeongbin ParkDepartment of Information Convergence Engineering, Pusan National University, Yangsan, 50612, Republi c of Korea.

Funding

Bio & Medical Technology DevelopmentKorean governmentKorean government (MSIT) BK21 FourKorean government (MSIT) RS-2024-00439078MSIT RS-2023-00278658National Research Foundation of KoreaRural Development Administration RS-2024-00322053
6 · The paper itself

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.

Indexed as

CRISPR-Cas SystemsGene EditingSoftwareComputer SimulationGenetic VariationGenome, HumanHaplotypesHumansInternet

Identifiers

PMID40337925
PMCPMC12230728

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.