Associated Papers
VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.
Ohno S et al.
Computational and Structural Biotechnology Journal, 2025
Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method.
Tam B et al.
International Journal of Molecular Sciences, 2024
Integration of deep learning with Ramachandran plot molecular dynamics simulation for genetic variant classification.
Tam B et al.
Iscience, 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
A calibrated cell-based functional assay to aid classification of MLH1 DNA mismatch repair gene variants.
Rath A et al.
Human Mutation, 2022
Prevalence and spectrum of DNA mismatch repair gene variation in the general Chinese population.
Zhang L et al.
Journal of Medical Genetics, 2022
Genomic instability and the link to infertility: A focus on microsatellites and genomic instability syndromes.
Wieland J et al.
European Journal of Obstetrics, Gynecology, and Reproductive Biology, 2022
Human MLH1/3 variants causing aneuploidy, pregnancy loss, and premature reproductive aging.
Singh P et al.
Nature Communications, 2021
Role of Splicing Regulatory Elements and In Silico Tools Usage in the Identification of Deep Intronic Splicing Variants in Hereditary Breast/Ovarian Cancer Genes.
Moles-Fernández A 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
Distinct genomic subclasses of high-grade/progressive meningiomas: NF2-associated, NF2-exclusive, and NF2-agnostic.
Williams EA et al.
Acta Neuropathologica Communications, 2020
Lynch Syndrome Germline Mutations in Breast Cancer: Next Generation Sequencing Case-Control Study of 1,263 Participants.
Nikitin AG et al.
Frontiers in Oncology, 2020
Contribution of mRNA Splicing to Mismatch Repair Gene Sequence Variant Interpretation.
Thompson BA et al.
Frontiers in Genetics, 2020
Identifying sequence variants contributing to hereditary breast and ovarian cancer in BRCA1 and BRCA2 negative breast and ovarian cancer patients.
Jarhelle E et al.
Scientific Reports, 2019
Computational and cellular studies reveal structural destabilization and degradation of MLH1 variants in Lynch syndrome.
Abildgaard AB et al.
Elife, 2019
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 functional assay-based procedure to classify mismatch repair gene variants in Lynch syndrome.
Drost M 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
Targeted sequencing of 36 known or putative colorectal cancer susceptibility genes.
DeRycke MS et al.
Molecular Genetics & Genomic Medicine, 2017
Exonic Splicing Mutations Are More Prevalent than Currently Estimated and Can Be Predicted by Using In Silico Tools.
Soukarieh O et al.
Plos Genetics, 2016
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
Functional analysis of human MLH1 variants using yeast and in vitro mismatch repair assays.
Takahashi M et al.
Cancer Research, 2007
N-acetyltransferase (NAT) 2 acetylator status and age of onset in patients with hereditary nonpolyposis colorectal cancer (HNPCC).
Pistorius S et al.
Cancer Letters, 2006
The use of microsatellite instability, immunohistochemistry and other variables in determining the clinical significance of MLH1 and MSH2 unclassified variants in Lynch syndrome.
Lucci-Cordisco E et al.
Cancer Biomarkers : Section a of Disease Markers, 2006