Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.S96P
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TP53

NM_000546.6:p.S96P

Associated Papers

Neoantigenic properties of TP53 variants influence cancer risk in individuals with Li-Fraumeni syndrome.

Montellier E et al.

Ebiomedicine, 2026

41370968 (PubMed )
Supplement: mmc2.xlsx › Table_S1

A quantitative, Bayesian-informed approach to gene-specific variant classification: Updated Expert Panel recommendations improve classification of TP53 germline variants for Li-Fraumeni syndrome.

Fortuno C et al.

Genome Medicine, 2025

41126324 (PubMed )
Supplement: 13073_2025_1536_MOESM2_ESM.xlsx › Table_S2

Clustering of TP53 variants into functional classes correlates with cancer risk and identifies different phenotypes of Li-Fraumeni syndrome.

Montellier E et al.

Iscience, 2024

39634561 (PubMed )
Supplement: mmc2.xlsx › TableS1

Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types.

Sasaki K et al.

Scientific Reports, 2023

36964217 (PubMed )
Supplement: 41598_2023_32092_MOESM1_ESM.xlsx › Suppl._table_S1

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

Identification of relevant genetic alterations in cancer using topological data analysis.

Rabadán R et al.

Nature Communications, 2020

32732999 (PubMed )
Supplement: 41467_2020_17659_MOESM3_ESM.xls › TableS1

Germline and somatic mutations in patients with multiple primary melanomas: a next generation sequencing study.

Casula M et al.

Bmc Cancer, 2019

The genomic landscape of Epstein-Barr virus-associated pulmonary lymphoepithelioma-like carcinoma.

Hong S et al.

Nature Communications, 2019

31311932 (PubMed )
Supplement: 41467_2019_10902_MOESM9_ESM.xlsx › Sheet1

Germ-line and somatic EPHA2 coding variants in lens aging and cataract.

Bennett TM et al.

Plos One, 2017

29267365 (PubMed )
Supplement: pone.0189881.s007.xlsx › S7a._Clear__1__all

Structure-Based Analysis Reveals Cancer Missense Mutations Target Protein Interaction Interfaces.

Engin HB et al.

Plos One, 2016

27043210 (PubMed )
Supplement: pone.0152929.s003.xlsx › mut_effects_per_ppi

Reproducible Analysis of Post-Translational Modifications in Proteomes--Application to Human Mutations.

Holehouse AS et al.

Plos One, 2015

26659599 (PubMed )
Supplement: pone.0144692.s002.xlsx › suppTable_2.txt
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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."