Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.S315T
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TP53

NM_000546.6:p.S315T

Associated Papers

Using multiplexed functional data to reduce variant classification inequities in underrepresented populations.

Dawood M et al.

Genome Medicine, 2024

39627863 (PubMed )
Supplement: 13073_2024_1392_MOESM1_ESM.xlsx › Table_S18

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

TP53 germline pathogenic variants in modern humans were likely originated during recent human history.

Kou SH et al.

Nar Cancer, 2023

37304756 (PubMed )
Supplement: zcad025_supplemental_files.zip › Supplementary_Table_2.xlsx › BVs

COMPASS: joint copy number and mutation phylogeny reconstruction from amplicon single-cell sequencing data.

Sollier E et al.

Nature Communications, 2023

37582954 (PubMed )
Supplement: 41467_2023_40378_MOESM1_ESM.pdf

vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines.

Munté E et al.

Bioinformatics (oxford, England), 2023

36916756 (PubMed )
Supplement: btad128_supplementary_data.zip › btad128_Supplementary_Data › Supplementary_tables10022023.xlsx › ST12-TP53

Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.

Keskin Karakoyun H et al.

Frontiers in Genetics, 2023

36896237 (PubMed )
Supplement: Table1.xlsx › clinvar_breastcancer_allvariant

Detection of Isoniazid and Rifampin Resistance in Mycobacterium tuberculosis Clinical Isolates from Sputum Samples by High-Resolution Melting Analysis.

Parsa S et al.

Current Microbiology, 2022

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_information_bbab524.pdf

Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.

G V et al.

Frontiers in Genetics, 2022

36561320 (PubMed )
Supplement: Table2.xlsx › TP53

Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.

Reza MN et al.

Scientific Reports, 2021

34584144 (PubMed )
Supplement: 41598_2021_98547_MOESM1_ESM.zip › Supplementary_files-5-8-21 › Supplementary_file_3.xlsx › Sheet1

Identification and functional characterization of new missense SNPs in the coding region of the TP53 gene.

Doffe F et al.

Cell Death and Differentiation, 2021

33257846 (PubMed )
Supplement: 41418_2020_672_MOESM3_ESM.xlsx › Table_S2c

Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics.

Morita K et al.

Nature Communications, 2020

33087716 (PubMed )
Supplement: 41467_2020_19119_MOESM4_ESM.xlsx › Sheet1__2_

From uncertainty to pathogenicity: clinical and functional interrogation of a rare TP53 in-frame deletion.

Quinn EA et al.

Cold Spring Harbor Molecular Case Studies, 2019

30886117 (PubMed )
Supplement: supp_mcs.a003921_Supplemental_Table_1a.xlsx › S_Table1a._TP53_in_ClinVar

Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis.

de Andrade KC et al.

Human Mutation, 2019

30352134 (PubMed )
Supplement: supplement_1.xlsx › Supplementary_Table_1
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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."