Varaico: Literature-Extracted Genetic Variants

Gene:CDKN2A
Variant:p.V51A
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CDKN2A

NM_000077.5:p.V51A

Associated Papers

Functional characterization of all CDKN2A missense variants and comparison to in silico models of pathogenicity.

Kimura H et al.

Elife, 2025

40238651 (PubMed )
Supplement: elife-95347-supp7.xlsx › Appendix_1-table_7

Functional characterization of all CDKN2A missense variants and comparison to in silico models of pathogenicity.

Kimura H et al.

Biorxiv : the Preprint Server for Biology, 2025

38234851 (PubMed )
Supplement: media-2.pdf

Genetic landscape of phospholamban cardiomyopathies.

Vafiadaki E et al.

Frontiers in Cell and Developmental Biology, 2025

Fecal gene detection based on next generation sequencing for colorectal cancer diagnosis.

He SY et al.

World Journal of Gastroenterology, 2022

Mutation profile and immunoscore signature in thymic carcinomas: An exploratory study and review of the literature.

Asselta R et al.

Thoracic Cancer, 2021

33704917 (PubMed )
Supplement: TCA-12-1271-s003.xls › Foglio1

Identification of Circulating Genomic and Metabolic Biomarkers in Intrahepatic Cholangiocarcinoma.

Winter H et al.

Cancers, 2019

31795195 (PubMed )
Supplement: cancers-11-01895-s001.zip › ICC_ctDNA_Cancers_Supplementary_Table_5._50_cancer_gene_panel_information.xlsx › cms_106003

BRAF(V600E) Kinase Domain Duplication Identified in Therapy-Refractory Melanoma Patient-Derived Xenografts.

Kemper K et al.

Cell Reports, 2016

27320919 (PubMed )
Supplement: mmc2.xlsx › Mutation_matrix

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

Predicting the functional impact of protein mutations: application to cancer genomics.

Reva B et al.

Nucleic Acids Research, 2011

21727090 (PubMed )
Supplement: supp_gkr407_Supplement2_Table_SM1_COSMIC_mutations.xls › Sheet1

Recurrent patterns of dual RB and p53 pathway inactivation in melanoma.

Yang G et al.

The Journal of Investigative Dermatology, 2005

Detailed computational study of p53 and p16: using evolutionary sequence analysis and disease-associated mutations to predict the functional consequences of allelic variants.

Greenblatt MS et al.

Oncogene, 2003

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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."