Varaico: Literature-Extracted Genetic Variants

Gene:MSH2
Variant:p.G426Splc
Back to variants list

MSH2

NM_000251.3:p.G426Splc

Associated Papers

Risks and Implications of Multiple Actionable Pathogenic Germline Variants Discovered by Panel-Based Cancer Predisposition Testing.

Neumann C et al.

Jco Precision Oncology, 2025

41100774 (PubMed )
Supplement: po-9-e2400951-s001.pdf

Multigene germline and somatic testing for epithelial ovarian cancer in China.

Li L et al.

Npj Precision Oncology, 2025

40804290 (PubMed )
Supplement: 41698_2025_1074_MOESM1_ESM.pdf

Tumor DNA from tumor in situ fluid was used to track evolution of glioma under first-line treatment.

Yu J et al.

Frontiers in Oncology, 2025

41179686 (PubMed )
Supplement: Table3.xls › Continuous_TISF_monitoring

Pathogenic variants in human DNA damage repair genes mostly arose in recent human history.

Zhao B et al.

Bmc Cancer, 2024

38575974 (PubMed )
Supplement: 12885_2024_12160_MOESM6_ESM.xlsx › Sheet1

Evolutionary origin of germline pathogenic variants in human DNA mismatch repair genes.

Lei H et al.

Human Genomics, 2024

38287404 (PubMed )
Supplement: 40246_2024_573_MOESM3_ESM.xls › MSH2

Risk of Syndrome-Associated Cancers Among First-Degree Relatives of Patients With Pancreatic Ductal Adenocarcinoma With Pathogenic or Likely Pathogenic Germline Variants.

Chen X et al.

Jama Oncology, 2023

P16 immunohistochemistry is a sensitive and specific surrogate marker for CDKN2A homozygous deletion in gliomas.

Vij M et al.

Acta Neuropathologica Communications, 2023

37138345 (PubMed )
Supplement: 40478_2023_1573_MOESM1_ESM.xlsx › Data1

Comprehensive RNA and protein functional assessments contribute to the clinical interpretation of MSH2 variants causing in-frame splicing alterations.

Meulemans L et al.

Journal of Medical Genetics, 2023

SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion.

Canson DM et al.

Bioinformatics (oxford, England), 2023

37021934 (PubMed )
Supplement: btad179_supplementary_data.zip › SAI10kcalc_supp_tables_final.xlsx › S1.variants

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

Performance evaluation of differential splicing analysis methods and splicing analytics platform construction.

Li K et al.

Nucleic Acids Research, 2022

35993808 (PubMed )
Supplement: gkac686_supplemental_files.zip › Table_S4_The_positive_and_negative_splicing_variants_benchmarker.xlsx › ROC

Splicing analyses for variants in MMR genes: best practice recommendations from the European Mismatch Repair Working Group.

Morak M et al.

European Journal of Human Genetics : Ejhg, 2022

Whole-exome Sequencing of Nigerian Prostate Tumors from the Prostate Cancer Transatlantic Consortium (CaPTC) Reveals DNA Repair Genes Associated with African Ancestry.

White JA et al.

Cancer Research Communications, 2022

36922933 (PubMed )
Supplement: crc-22-0136-s01.xlsx › ST1_Known_Germline_Variants

Identification of Lynch Syndrome in Patients with Endometrial Cancer Based on a Germline Next Generation Sequencing Multigene Panel Test.

Kim YN et al.

Cancers, 2022

Contribution of mRNA Splicing to Mismatch Repair Gene Sequence Variant Interpretation.

Thompson BA et al.

Frontiers in Genetics, 2020

32849802 (PubMed )
Supplement: Data_Sheet_1.xlsx › Supplementary_Table_3

A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.

Shamsani J et al.

Bioinformatics (oxford, England), 2019

30475984 (PubMed )
Supplement: bty960_supplementary_data.zip › bty960-Suppl_data › Supplementary_Table_S1.xlsx › Sheet1

Computational Tools for Splicing Defect Prediction in Breast/Ovarian Cancer Genes: How Efficient Are They at Predicting RNA Alterations?

Moles-Fernández A et al.

Frontiers in Genetics, 2018

30233647 (PubMed )
Supplement: Table_1.XLSX › Supplem_Table_6

Functional examination of MLH1, MSH2, and MSH6 intronic mutations identified in Danish colorectal cancer patients.

Petersen SM et al.

Bmc Medical Genetics, 2013

Comparative in silico analyses and experimental validation of novel splice site and missense mutations in the genes MLH1 and MSH2.

Betz B et al.

Journal of Cancer Research and Clinical Oncology, 2010

Intronic alterations in BRCA1 and BRCA2: effect on mRNA splicing fidelity and expression.

Chen X et al.

Human Mutation, 2006

Spectrum and frequencies of mutations in MSH2 and MLH1 identified in 1,721 German families suspected of hereditary nonpolyposis colorectal cancer.

Mangold E et al.

International Journal of Cancer, 2005

Select a paper to view details
UCSC Genome Browser·Imprint·Privacy·Terms·Feedback·Email Updates·

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."