Associated Papers
A scalable approach to resolving variants of uncertain significance.
Tejura M et al.
Biorxiv : the Preprint Server for Biology, 2026
41727046 (PubMed )
Supplement: media-7.xlsx › VarChAMP_data_supp_mat_PP
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
Saturation-scale functional evidence supports clinical variant interpretation in Lynch syndrome.
Scott A et al.
Genome Biology, 2022
36550560 (PubMed )
Supplement: 13059_2022_2839_MOESM1_ESM.xlsx › Variants_For_OddsPath
Identification of SNPs in hMSH3/MSH6 interaction domain affecting the structure and function of MSH2 protein.
Singh S et al.
Biotechnology and Applied Biochemistry, 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
The contribution of Lynch syndrome to early onset malignancy in Ireland.
Talbot A et al.
Bmc Cancer, 2021
Massively parallel functional testing of MSH2 missense variants conferring Lynch syndrome risk.
Jia X et al.
American Journal of Human Genetics, 2021
33357406 (PubMed )
Supplement: mmc2.xlsx › TableS4_ValidationSet
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
Methylation Tolerance-Based Functional Assay to Assess Variants of Unknown Significance in the MLH1 and MSH2 Genes and Identify Patients With Lynch Syndrome.
Bouvet D et al.
Gastroenterology, 2019
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
Unexpected cancer-predisposition gene variants in Cowden syndrome and Bannayan-Riley-Ruvalcaba syndrome patients without underlying germline PTEN mutations.
Yehia L et al.
Plos Genetics, 2018
29684080 (PubMed )
Supplement: pgen.1007352.s008.xlsx › S7_Table
Germline mutations in candidate predisposition genes in individuals with cutaneous melanoma and at least two independent additional primary cancers.
Pritchard AL et al.
Plos One, 2018
29641532 (PubMed )
Supplement: pone.0194098.s003.xlsx › UK10K_AD
Classification of Amino Acid Substitutions in Mismatch Repair Proteins Using PON-MMR2.
Niroula A et al.
Human Mutation, 2015
26333163 (PubMed )
Supplement: supplement_1.pdf
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
Classifying MLH1 and MSH2 variants using bioinformatic prediction, splicing assays, segregation, and tumor characteristics.
Arnold S et al.
Human Mutation, 2009
Functional analysis of HNPCC-related missense mutations in MSH2.
Lützen A et al.
Mutation Research, 2008
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