Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.D228Y
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TP53

NM_000546.6:p.D228Y

Associated Papers

TP53 mutation heterogeneity reveals distinct prognoses in mantle cell lymphoma.

Liu S et al.

Annals of Hematology, 2026

41559357 (PubMed )
Supplement: 277_2026_6771_MOESM2_ESM.xlsx › TableS3

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

Mutations in the TP53, VEGFA, and CTH Genes as Key Molecular Markers for the Diagnosis of Glioblastoma.

Khalil SS et al.

Cureus, 2024

Clinical and analytical validation of FoundationOne Liquid CDx, a novel 324-Gene cfDNA-based comprehensive genomic profiling assay for cancers of solid tumor origin.

Woodhouse R et al.

Plos One, 2020

32976510 (PubMed )
Supplement: pone.0237802.s009.zip › Table_9_Accuracy_Short_Variant_Line_Data.xlsx › sheet_1

Finding driver mutations in cancer: Elucidating the role of background mutational processes.

Brown AL et al.

Plos Computational Biology, 2019

31034466 (PubMed )
Supplement: pcbi.1006981.s010.xlsx › final_benchmark

Precision Medicine in Children and Young Adults with Hematologic Malignancies and Blood Disorders: The Columbia University Experience.

Marks LJ et al.

Frontiers in Pediatrics, 2017

29312904 (PubMed )
Supplement: Table_2.xlsx › Table_S2

Assessment of computational methods for predicting the effects of missense mutations in human cancers.

Gnad F et al.

Bmc Genomics, 2013

23819521 (PubMed )
Supplement: 1471-2164-14-S3-S7-S1.xlsx › COSMIC

Epidemiology of doublet/multiplet mutations in lung cancers: evidence that a subset arises by chronocoordinate events.

Chen Z et al.

Plos One, 2008

19005564 (PubMed )
Supplement: pone.0003714.s007.xls › Table_s-5
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Regarding the variants extracted from papers and shown text snippets from research papers, the following holds: "Some rights reserved. This work permits non-commercial use, distribution and reproduction in any medium, provided the original author and source are credited."