Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.R379L
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TP53

NM_000546.6:p.R379L

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

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

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

Uterine lavage identifies cancer mutations and increased TP53 somatic mutation burden in individuals with ovarian cancer.

Ghezelayagh TS et al.

Cancer Research Communications, 2022

36311816 (PubMed )
Supplement: crc-22-0314-s02.xlsx › Table_S6_List_of_mutations

High prevalence of somatic PIK3CA and TP53 pathogenic variants in the normal mammary gland tissue of sporadic breast cancer patients revealed by duplex sequencing.

Kostecka A et al.

Npj Breast Cancer, 2022

35768433 (PubMed )
Supplement: 41523_2022_443_MOESM9_ESM.xlsx › DuplexSeq_all

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

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

Clinicopathological and molecular characteristics of patients with hypermutant lung cancer: A retrospective cohort study.

Zhang H et al.

Oncology Letters, 2021

33692861 (PubMed )
Supplement: Supplementary_Data.pdf

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
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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."