Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
A Cell-Based Functional Assay Calibrated for Analysis of MSH6 and MSH2 Mismatch Repair Gene Variants.
Szabo E et al.
Human Mutation, 2025
SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion.
Canson DM et al.
Bioinformatics (oxford, England), 2023
Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.
Keskin Karakoyun H et al.
Frontiers in Genetics, 2023
Classification of MSH6 Variants of Uncertain Significance Using Functional Assays.
Frederiksen JH et al.
International Journal of Molecular Sciences, 2021
TUMOSPEC: A Nation-Wide Study of Hereditary Breast and Ovarian Cancer Families with a Predicted Pathogenic Variant Identified through Multigene Panel Testing.
Lesueur F et al.
Cancers, 2021
The Frequency of Discordant Variant Classification in the Human Gene Mutation Database: A Comparison of the American College of Medical Genetics and Genomics Guidelines and ClinVar.
Park KJ et al.
Laboratory Medicine, 2021
Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach.
Bhai P et al.
Frontiers in Genetics, 2021
Two integrated and highly predictive functional analysis-based procedures for the classification of MSH6 variants in Lynch syndrome.
Drost M et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
Contribution of mRNA Splicing to Mismatch Repair Gene Sequence Variant Interpretation.
Thompson BA et al.
Frontiers in Genetics, 2020
A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.
Shamsani J et al.
Bioinformatics (oxford, England), 2019
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
CoDP: predicting the impact of unclassified genetic variants in MSH6 by the combination of different properties of the protein.
Terui H et al.
Journal of Biomedical Science, 2013
A multifactorial likelihood model for MMR gene variant classification incorporating probabilities based on sequence bioinformatics and tumor characteristics: a report from the Colon Cancer Family Registry.
Thompson BA et al.
Human Mutation, 2013
Classification of mismatch repair gene missense variants with PON-MMR.
Ali H et al.
Human Mutation, 2012
DNA mismatch repair defects: role in colorectal carcinogenesis.
Jacob S et al.
Biochimie, 2002
Sequence analysis of the mismatch repair gene hMSH6 in the germline of patients with familial and sporadic colorectal cancer.
Plaschke J et al.
International Journal of Cancer, 2000