Associated Papers
SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion.
Canson DM et al.
Bioinformatics (oxford, England), 2023
APPLICATION OF THE ACMG/AMP FRAMEWORK TO CAPTURE EVIDENCE RELEVANT TO PREDICTED AND OBSERVED IMPACT ON SPLICING: RECOMMENDATIONS FROM THE CLINGEN SVI SPLICING SUBGROUP.
Walker LC et al.
Medrxiv : the Preprint Server for Health Sciences, 2023
Prevalence and spectrum of DNA mismatch repair gene variation in the general Chinese population.
Zhang L et al.
Journal of Medical Genetics, 2022
Prevalence of germline pathogenic variants in 22 cancer susceptibility genes in Swedish pediatric cancer patients.
von Stedingk K et al.
Scientific Reports, 2021
DNA Mismatch Repair Gene Variants in Sporadic Solid Cancers.
Caja F et al.
International Journal of Molecular Sciences, 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
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
Assessment of the InSiGHT Interpretation Criteria for the Clinical Classification of 24 MLH1 and MSH2 Gene Variants.
Tricarico R et al.
Human Mutation, 2017
MSH2 role in BRCA1-driven tumorigenesis: A preliminary study in yeast and in human tumors from BRCA1-VUS carriers.
Maresca L et al.
European Journal of Medical Genetics, 2015
A massive parallel sequencing workflow for diagnostic genetic testing of mismatch repair genes.
Hansen MF et al.
Molecular Genetics & Genomic Medicine, 2014
Interpretation of mRNA splicing mutations in genetic disease: review of the literature and guidelines for information-theoretical analysis.
Caminsky N et al.
F1000research, 2014
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
Screening for germline mutations of MLH1, MSH2, MSH6 and PMS2 genes in Slovenian colorectal cancer patients: implications for a population specific detection strategy of Lynch syndrome.
Berginc G et al.
Familial Cancer, 2009
Systematic mRNA analysis for the effect of MLH1 and MSH2 missense and silent mutations on aberrant splicing.
Auclair J 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