The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC)
Open accessAbstract
Purpose Several professional societies have published guidelines for the clinical interpretation of somatic variants, which specifically address diagnostic, prognostic, and therapeutic implications. While these guidelines for the clinical interpretation of variants include data types that may be used to determine the oncogenicity of a variant (e.g., population frequency, functional and in silico data or somatic frequency), they do not provide a direct, systematic, and comprehensive set of standards and rules to classify the oncogenicity of a somatic variant. This insufficient guidance leads to inconsistent classification of rare somatic variants in cancer, generates variability in their clinical interpretation and importantly impacts patient care. Therefore, it’s essential to address this unmet need. Methods Clinical Genome Resource (ClinGen) Somatic Cancer Clinical Domain Working Group and ClinGen Germline/Somatic Variant Subcommittee, the Cancer Genomics Consortium (CGC), and the Variant Interpretation for Cancer Consortium (VICC) used a consensus approach to develop a Standard Operating Procedure (SOP) for the classification of oncogenicity of somatic variants. Results This comprehensive SOP has been developed to improve consistency in somatic variant classification, and has been validated on 94 somatic variants in ten common cancer-related genes. Conclusion The comprehensive SOP is now available for classification of oncogenicity of a somatic variant.
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Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Richards, S., Aziz, N., Bale, S., Bick, D., Das, S., Gastier-Foster, J., Grody, W. W., Hegde, M., Lyon, E., Spector, E., et al. (2015) · Genetics in Medicine · doi:10.1038/gim.2015.30 · Cited by 32,594
Cancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2009) · Nature · doi:10.1038/nature08617 · Cited by 4,154
CADD: predicting the deleteriousness of variants throughout the human genome
Rentzsch, P., Witten, D., Cooper, G. M., Shendure, J., & Kircher, M. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1016 · Cited by 3,534
Predicting splicing from primary sequence with deep learning
Jaganathan, K., Kyriazopoulou Panagiotopoulou, S., McRae, J. F., Darbandi, S. F., Knowles, D., Li, Y. I., Kosmicki, J. A., Arbelaez, J., Cui, W., Schwartz, G. B., et al. (2019) · Cell · doi:10.1016/j.cell.2018.12.015 · Cited by 2,853
Mechanism of Activation of the RAF-ERK Signaling Pathway by Oncogenic Mutations of B-RAF
Wan, P. T. C., Garnett, M. J., Roe, S. M., Lee, S., Niculescu-Duvaz, D., Good, V. M., Project, C. G., Jones, C. M., Marshall, C. J., Springer, C. J., et al. (2004) · Cell · doi:10.1016/s0092-8674(04)00215-6 · Cited by 2,808
OncoKB: A Precision Oncology Knowledge Base
Chakravarty, D., Gao, J., Phillips, S., Kundra, R., Zhang, H., Wang, J., Rudolph, J. E., Yaeger, R., Soumerai, T., Nissan, M. H., et al. (2017) · JCO Precision Oncology · doi:10.1200/po.17.00011 · Cited by 2,589
Self-citationPROVEAN web server: a tool to predict the functional effect of amino acid substitutions and indels
Choi, Y., & Chan, A. P. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv195 · Cited by 2,549
Midostaurin plus Chemotherapy for Acute Myeloid Leukemia with a FLT3 Mutation
Stone, R. M., Mandrekar, S. J., Sanford, B. L., Laumann, K., Geyer, S., Bloomfield, C. D., Thiede, C., Prior, T. W., Döhner, K., Marcucci, G., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1614359 · Cited by 2,250
Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancer
Li, M. M., Datto, M., Duncavage, E. J., Kulkarni, S., Lindeman, N. I., Roy, S., Tsimberidou, A. M., Vnencak-Jones, C. L., Wolff, D. J., Younes, A., et al. (2017) · The Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2016.10.002 · Cited by 2,030
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Landrum, M. J., Chitipiralla, S., Kaur, K., Brown, G., Chen, C., Hart, J., Hoffman, D., Jang, W., Liu, C., Maddipatla, Z., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkae1090 · Cited by 182
Cross, N. C. P., Ernst, T., Branford, S., Cayuela, J.-M., Deininger, M., Fabarius, A., Kim, D. D. H., Machova Polakova, K., Radich, J. P., Hehlmann, R., et al. (2023) · Leukemia · doi:10.1038/s41375-023-02048-y · Cited by 120
The impact of AI on modern oncology from early detection to personalized cancer treatment
Li, J., Zhang, L., Yu, Z., Bao, Z., Li, D., & Wang, L. (2026) · npj Precision Oncology · doi:10.1038/s41698-026-01276-6 · Cited by 24
Somatic Mutations in HLA Class Genes and Antigen-Presenting Molecules in Malignant Glioma
Schulte, S. C., Peter, W., Rosenberger, G., Schäfer, M., Maire, C. L., Rünger, A., Ryba, A., Riecken, K., Fita, K. D., Matschke, J., et al. (2025) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-24-0419 · Cited by 3
Metadata
- Authors
- Horak, P., Griffith, M., Danos, A. M., Pitel, B. A., Madhavan, S., Liu, X., Chow, C., Williams, H., Carmody, L., Barrow-Laing, L., Rieke, D., Kreutzfeldt, S., Stenzinger, A., Tamborero, D., Benary, M., Rajagopal, P. S., Ida, C. M., Lesmana, H., Satgunaseelan, L., Merker, J. D., Tolstorukov, M. Y., Campregher, P. V., Warner, J. L., Rao, S., Natesan, M., Shen, H., Venstrom, J., Roy, S., Tao, K., Kanagal-Shamanna, R., Xu, X., Ritter, D. I., Pagel, K., Krysiak, K., Dubuc, A., Akkari, Y. M., Li, X. S., Lee, J., King, I., Raca, G., Wagner, A. H., Li, M. M., Plon, S. E., Kulkarni, S., Griffith, O. L., Chakravarty, D., & Sonkin, D.
- Venue
- Genetics in Medicine
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 24
- Issue
- 5
- Pages
- 986-998
- ISSN
- 1098-3600 (ISSN-L)
- OpenAlex
- W4210412949
- Cited by
- 257
- References
- 42
- FWCI
- 26.25
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Horak, P., Griffith, M., Danos, A. M., Pitel, B. A., Madhavan, S., Liu, X., Chow, C., Williams, H., Carmody, L., Barrow-Laing, L., Rieke, D., Kreutzfeldt, S., Stenzinger, A., Tamborero, D., Benary, M., Rajagopal, P. S., Ida, C. M., Lesmana, H., Satgunaseelan, L., . . . Sonkin, D. (2022). Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC). Genetics in Medicine. https://doi.org/10.1016/j.gim.2022.01.001
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