Associated Papers
PRESCOTT: a population aware, epistatic, and structural model accurately predicts missense effects.
Tekpinar M et al.
Genome Biology, 2025
Disentangling the mutational effects on protein stability and interaction of human MLH1.
Larsen-Ledet S et al.
Plos Genetics, 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
Protein domains provide a new layer of information for classifying human variations in rare diseases.
Corcuff M et al.
Frontiers in Bioinformatics, 2023
Druggable genomic landscapes of high-grade gliomas.
Ghanem P et al.
Frontiers in Medicine, 2023
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
Contribution of mRNA Splicing to Mismatch Repair Gene Sequence Variant Interpretation.
Thompson BA et al.
Frontiers in Genetics, 2020
Toward automation of germline variant curation in clinical cancer genetics.
Ravichandran V et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
FANCJ suppresses microsatellite instability and lymphomagenesis independent of the Fanconi anemia pathway.
Matsuzaki K et al.
Genes & Development, 2015
Evaluation of CADD Scores in Curated Mismatch Repair Gene Variants Yields a Model for Clinical Validation and Prioritization.
van der Velde KJ et al.
Human Mutation, 2015
Challenges in assessing pathogenicity based on frequency of variants in mismatch repair genes: an extreme case of a MSH2 variant and a meta-analysis.
Woo HI et al.
Gene, 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
Calibration of multiple in silico tools for predicting pathogenicity of mismatch repair gene missense substitutions.
Thompson BA et al.
Human Mutation, 2013
Classification of mismatch repair gene missense variants with PON-MMR.
Ali H et al.
Human Mutation, 2012
Characterization of germline mutations of MLH1 and MSH2 in unrelated south American suspected Lynch syndrome individuals.
Valentin MD et al.
Familial Cancer, 2011
An MLH1 mutation links BACH1/FANCJ to colon cancer, signaling, and insight toward directed therapy.
Xie J et al.
Cancer Prevention Research (philadelphia, Pa.), 2010
Making sense of missense in Lynch syndrome: the clinical perspective.
Lynch HT et al.
Cancer Prevention Research (philadelphia, Pa.), 2010
Investigation on the role of nsSNPs in HNPCC genes--a bioinformatics approach.
Doss CG et al.
Journal of Biomedical Science, 2009
A large fraction of unclassified variants of the mismatch repair genes MLH1 and MSH2 is associated with splicing defects.
Tournier I et al.
Human Mutation, 2008
Classification of ambiguous mutations in DNA mismatch repair genes identified in a population-based study of colorectal cancer.
Barnetson RA et al.
Human Mutation, 2008
Functional analysis of human MLH1 variants using yeast and in vitro mismatch repair assays.
Takahashi M et al.
Cancer Research, 2007