Associated Papers
Evaluation of non-canonical p53 functions in DNA replication and recombination for variant classification.
Jansche R et al.
Cell Death & Disease, 2026
Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53.
Fortuno C et al.
Hgg Advances, 2025
40696762 (PubMed )
Supplement: mmc2.xlsx › Supplemental_Table_3
TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.
Fischer NW et al.
Nature Communications, 2025
41022739 (PubMed )
Supplement: 41467_2025_63528_MOESM7_ESM.xlsx › Sheet1
Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations.
Funk JS et al.
Nature Genetics, 2025
39774325 (PubMed )
Supplement: 41588_2024_2039_MOESM5_ESM.xlsx › SuppFig6
Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.
Padigepati SR et al.
Human Genetics, 2024
39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › TP53
Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.
Tam B et al.
Briefings in Bioinformatics, 2024
39140857 (PubMed )
Supplement: table_s1_bbae400.xlsx › Sheet1
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
35043155 (PubMed )
Supplement: supplementary_table_s1_bbab524.xlsx › S1B._Negative_Set
The genetic landscape of choroid plexus tumors in children and adults.
Thomas C et al.
Neuro-oncology, 2021
MLH1 promoter hypermethylation in uterine carcinosarcoma rarely coexists with TP53 mutation.
Kunc M et al.
Contemporary Oncology (poznan, Poland), 2019
Isolation of temperature-sensitive p53 mutations from a comprehensive missense mutation library.
Shiraishi K et al.
The Journal of Biological Chemistry, 2004
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