Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.G154A
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TP53

NM_000546.6:p.G154A

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

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

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

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

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

IGH Translocations in Chinese Patients With Chronic Lymphocytic Leukemia: Clinicopathologic Characteristics and Genetic Profile.

Li Q et al.

Frontiers in Oncology, 2022

35720006 (PubMed )
Supplement: Table_2.xlsx › Sheet1

High-intensity sequencing reveals the sources of plasma circulating cell-free DNA variants.

Razavi P et al.

Nature Medicine, 2019

31768066 (PubMed )
Supplement: NIHMS1541314-supplement-1541314_Sup_Tab.xlsx › Supplementary_Table_6

Molecular Profiling of Multiple Primary Merkel Cell Carcinoma to Distinguish Genetically Distinct Tumors From Clonally Related Metastases.

Harms KL et al.

Jama Dermatology, 2017

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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."