Varaico: Literature-Extracted Genetic Variants

Gene:CDKN2A
Variant:p.D153N
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CDKN2A

NM_000077.5:p.D153N

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-fig2-figsupp3-data1.xlsx › Figure_2-figure_supplement_3A

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-11.pdf

Targeted DNA Sequencing of Cutaneous Melanoma Identifies Prognostic and Predictive Alterations.

Haugh AM et al.

Cancers, 2024

38611025 (PubMed )
Supplement: cancers-16-01347-s001.zip › cancers-2874995-supplementary.xlsx › TableS1

High- and intermediate-risk susceptibility variants in melanoma families from the Mediterranean area: A multicentre cohort from the MelaNostrum Consortium.

Pellegrini C et al.

Journal of the European Academy of Dermatology and Venereology : Jeadv, 2023

Characteristics and prognosis of rrDLBCL with TP53 mutations and a high-risk subgroup represented by the co-mutations of DDX3X-TP53.

Gao F et al.

Cancer Medicine, 2023

36971051 (PubMed )
Supplement: CAM4-12-10267-s001.xlsx › Sheet1

Targeted deep sequencing reveals genomic alterations of actinic keratosis/cutaneous squamous cell carcinoma in situ and cutaneous squamous cell carcinoma.

Kim YS et al.

Experimental Dermatology, 2023

Integrated analysis of genomic and transcriptomic data for the discovery of splice-associated variants in cancer.

Cotto KC et al.

Nature Communications, 2023

36949070 (PubMed )
Supplement: 41467_2023_37266_MOESM8_ESM.xlsx › supplemental_file_6

Enhancing oral squamous cell carcinoma prediction: the prognostic power of the worst pattern of invasion and the limited impact of molecular resection margins.

Hurník P et al.

Frontiers in Oncology, 2023

38188288 (PubMed )
Supplement: Table_5.xlsx › S5

Integrative characterization of intraductal tubulopapillary neoplasm (ITPN) of the pancreas and associated invasive adenocarcinoma.

Mafficini A et al.

Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc, 2022

36056133 (PubMed )
Supplement: 41379_2022_1143_MOESM1_ESM.pdf

The clinical significance of adenomatous polyposis coli (APC) and catenin Beta 1 (CTNNB1) genetic aberrations in patients with melanoma.

Karachaliou GS et al.

Bmc Cancer, 2022

34986841 (PubMed )
Supplement: 12885_2021_8908_MOESM2_ESM.xlsx › APC_CTNNB1_wild_type

The LOVD3 platform: efficient genome-wide sharing of genetic variants.

Fokkema IFAC et al.

European Journal of Human Genetics : Ejhg, 2021

34521998 (PubMed )
Supplement: 41431_2021_959_MOESM4_ESM.pdf

Genomic Landscape of Head and Neck Squamous Cell Carcinoma Across Different Anatomic Sites in Chinese Population.

Ju Y et al.

Frontiers in Genetics, 2021

34194478 (PubMed )
Supplement: Data_Sheet_1.xlsx › Table_S6

Genetic Landscape of Relapsed and Refractory Diffuse Large B-Cell Lymphoma: A Systemic Review and Association Analysis With Next-Generation Sequencing.

Gao F et al.

Frontiers in Genetics, 2021

34925435 (PubMed )
Supplement: DataSheet2.xlsx › Sheet1

CDKN2A-Inactivated Pancreatic Ductal Adenocarcinoma Exhibits Therapeutic Sensitivity to Paclitaxel: A Bioinformatics Study.

Lin JC et al.

Journal of Clinical Medicine, 2020

33322698 (PubMed )
Supplement: jcm-09-04019-s001.zip › jcm-1006906supple › Table-S1-TCGA-data.xlsx › _c__HNSC

Genomic analysis of head and neck cancer cases from two high incidence regions.

Perdomo S et al.

Plos One, 2018

29377909 (PubMed )
Supplement: pone.0191701.s007.xlsx › S3.Somatic_Mutations_SNVs_

iFish: predicting the pathogenicity of human nonsynonymous variants using gene-specific/family-specific attributes and classifiers.

Wang M et al.

Scientific Reports, 2016

27527004 (PubMed )
Supplement: srep31321-s3.xls › NovelVar

Characterization of individuals at high risk of developing melanoma in Latin America: bases for genetic counseling in melanoma.

Puig S et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2016

MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.

Mort M et al.

Genome Biology, 2014

24451234 (PubMed )
Supplement: gb-2014-15-1-r19-S1.pdf

Comprehensive genomic characterization of squamous cell lung cancers.

Unknown Author

Nature, 2012

22960745 (PubMed )
Supplement: NIHMS392594-supplement-2.zip › data.file.S7.1.p16.alterations.xlsx › Sheet1
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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."