Onkopus: precise interpretation and prioritization of sequence variants for biomedical research and precision medicine

One of the major challenges in precision oncology is the identification of pathogenic, actionable variants and the selection of personalized treatments. We present Onkopus, a variant interpretation framework based on a modular architecture, for interpreting and prioritizing genetic alterations in cancer patients. A multitude of tools and databases are integrated into Onkopus to provide a comprehensive overview about the consequences of a variant, each with its own semantic, including pathogenicity predictions, allele frequency, biochemical and protein features, and therapeutic options. We present the characteristics of variants and personalized therapies in a clear and concise form, supported by interactive plots. To support the interpretation of variants of unknown significance (VUS), we present a protein analysis based on protein structures, which allows variants to be analyzed within the context of the entire protein, thereby serving as a starting point for understanding the underlying causes of variant pathogenicity. Onkopus has the potential to significantly enhance variant interpretation and the selection of actionable variants for identifying new targets, drug screens, drug testing using organoids, or personalized treatments in molecular tumor boards. We provide a free public instance of Onkopus at https://mtb.bioinf.med.uni-goettingen.de/onkopus.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-05-16
DOI
https://doi.org/10.1093/nar/gkaf376
Citations
5
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
9.09

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article

Onkopus: precise interpretation and prioritization of sequence variants for biomedical research and precision medicine

Jürgen Dönitz, Tim Beißbarth, Kevin Kornrumpf, Nadine S. Kurz et al.
5 citations
Nucleic Acids Research
Genomics and Rare Diseases
9.09
article

Onkopus: precise interpretation and prioritization of sequence variants for biomedical research and precision medicine

Jürgen Dönitz, Tim Beißbarth, Kevin Kornrumpf, Nadine S. Kurz, Tim Tucholski, Klara Drofenik, Alexander König
article en
5 citations

Abstract

One of the major challenges in precision oncology is the identification of pathogenic, actionable variants and the selection of personalized treatments. We present Onkopus, a variant interpretation framework based on a modular architecture, for interpreting and prioritizing genetic alterations in cancer patients. A multitude of tools and databases are integrated into Onkopus to provide a comprehensive overview about the consequences of a variant, each with its own semantic, including pathogenicity predictions, allele frequency, biochemical and protein features, and therapeutic options. We present the characteristics of variants and personalized therapies in a clear and concise form, supported by interactive plots. To support the interpretation of variants of unknown significance (VUS), we present a protein analysis based on protein structures, which allows variants to be analyzed within the context of the entire protein, thereby serving as a starting point for understanding the underlying causes of variant pathogenicity. Onkopus has the potential to significantly enhance variant interpretation and the selection of actionable variants for identifying new targets, drug screens, drug testing using organoids, or personalized treatments in molecular tumor boards. We provide a free public instance of Onkopus at https://mtb.bioinf.med.uni-goettingen.de/onkopus.

Nucleic Acids ResearchVol. 53(W1)
Universitätsmedizin Göttingen (DE)
International Max Planck Research School for Environmental, Cellular and Molecular Microbiology, Deutsche Forschungsgemeinschaft, Volkswagen Foundation, Bundesministerium für Bildung und Forschung, Deutsche Krebshilfe, International Max Planck Research School for Advanced Methods in Process and Systems Engineering
Good health and well-being
Openalex Percentile: Top 2%
Genomics and Rare Diseases
9.09
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