Data availability
All data shown in this manuscript is available in Supplementary Table S1.
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Acknowledgements
The authors wish to thank the faculty members of the Neuropathology Division and the faculty and staff of the Molecular Pathology Division at Northwestern University and New York University for their assistance in identifying cases and facilitating data collection.
Funding
CH was supported by NIH under Grant Nos. R01NS102669, R01NS117104, and R01NS118039, the Northwestern University SPORE in Brain Cancer P50CA221747, and the Lou and Jean Malnati Brain Tumor Institute. MM was supported by the NIH under Grant No. F32CA264883.
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PJ and CH designed the project. PJ, MM, KG, MS, and CH identified cases and performed data collection. PJ, MM, LS, KG, LJ, MS, and CH organized and processed data, and generated figures. CH, LJ, LS, and MS supervised the project. CH provided financial support. PJ, MM, LS, LJ, and CH drafted the manuscript. All co-authors reviewed and edited the manuscript.
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C.H. is a member of the Editorial Board of Acta Neuropathologica but was not involved in the Editorial handling of this article. The remaining authors declare no potential conflict of interest.
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Jamshidi, P., McCord, M., Galbraith, K. et al. Variant allelic frequency of driver mutations predicts success of genomic DNA methylation classification in central nervous system tumors. Acta Neuropathol 145, 365–367 (2023). https://doi.org/10.1007/s00401-023-02542-8
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DOI: https://doi.org/10.1007/s00401-023-02542-8