Associated Papers
Clinical syndromes linked to biallelic germline variants in MCM8 and MCM9.
Helderman NC et al.
Hgg Advances, 2025
40684266 (PubMed )
Supplement: mmc1.pdf
VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.
Ohno S et al.
Computational and Structural Biotechnology Journal, 2025
40160862 (PubMed )
Supplement: mmc2.xlsx › Sheet1
Population-based BRCA germline mutation screening in the Han Chinese identifies individuals at risk of BRCA mutation-related cancer: experience from a clinical diagnostic center from greater Shanghai area.
Wu Z et al.
Bmc Cancer, 2024
38566028 (PubMed )
Supplement: 12885_2024_12089_MOESM2_ESM.xlsx › ACMG_Classification
F-box DNA Helicase 1 (FBH1) Contributes to the Destabilization of DNA Damage Repair Machinery in Human Cancers.
Watson AJ et al.
Cancers, 2023
BRCA2 Germline Mutations Identify Gastric Cancers Responsive to PARP Inhibitors.
Petrelli A et al.
Cancer Research, 2023
37129948 (PubMed )
Supplement: can-22-2620_supplementary_table_s2_suppst2.pdf
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 › S2.output
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
36865205 (PubMed )
Supplement: media-10.xlsx › Table_S2
Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.
Keskin Karakoyun H et al.
Frontiers in Genetics, 2023
36896237 (PubMed )
Supplement: Table1.xlsx › clinvar_breastcancer_allvariant
Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants: Application of a points-based ACMG/AMP approach.
Thomassen M et al.
Human Mutation, 2022
35979650 (PubMed )
Supplement: HUMU-43-1921-s002.XLSX › Supp_T3
MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model.
Karalidou V et al.
Biomolecules, 2022
36358902 (PubMed )
Supplement: biomolecules-12-01552-s001.zip › final_annotation_file_CanVaS.xlsx › Sheet1
BRCA1 Norway: comparison of classification for BRCA1 germline variants detected in families with suspected hereditary breast and ovarian cancer between different laboratories.
Hovland HN et al.
Familial Cancer, 2022
Breast cancer risks associated with missense variants in breast cancer susceptibility genes.
Dorling L et al.
Genome Medicine, 2022
35585550 (PubMed )
Supplement: 13073_2022_1052_MOESM2_ESM.xlsx › Table_S15
Genomic landscape of advanced endometrial cancer analyzed by targeted next-generation sequencing and the cancer genome atlas (TCGA) dataset.
Hong JH et al.
Journal of Gynecologic Oncology, 2022
35128859 (PubMed )
Supplement: jgo-33-e29-s002.xls › jgo-33-e29-s002
Variomes: a high recall search engine to support the curation of genomic variants.
Pasche E et al.
Bioinformatics (oxford, England), 2022
35274687 (PubMed )
Supplement: btac146_supplementary_data.pdf
Validation and Data-Integration of Yeast-Based Assays for Functional Classification of BRCA1 Missense Variants.
Bellè F et al.
International Journal of Molecular Sciences, 2022
35409408 (PubMed )
Supplement: ijms-23-04049-s001.zip › Table_S1.xlsx › Table_S1
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
34584144 (PubMed )
Supplement: 41598_2021_98547_MOESM1_ESM.zip › Supplementary_files-5-8-21 › Supplementary_file_1.xlsx › Sheet1
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays.
Khoruddin NA et al.
Scientific Reports, 2021
34373545 (PubMed )
Supplement: 41598_2021_95618_MOESM1_ESM.xlsx › Training_Dataset
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
34283047 (PubMed )
Supplement: cancers-13-03341-s001.zip › 2_Supplementary_table_S2A_2B.xlsx › Suppl_Table_2A
Towards a New, Endophenotype-Based Strategy for Pathogenicity Prediction in BRCA1 and BRCA2: In Silico Modeling of the Outcome of HDR/SGE Assays for Missense Variants.
Özkan S et al.
International Journal of Molecular Sciences, 2021
34207612 (PubMed )
Supplement: ijms-22-06226-s001.zip › SUPP_FIGURES_TABLES › SupplementaryTable4.xlsx › supp_table4
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
Variant profiling of colorectal adenomas from three patients of two families with MSH3-related adenomatous polyposis.
Perne C et al.
Plos One, 2021
34843512 (PubMed )
Supplement: pone.0259185.s008.xlsx › Tabelle1
Consolidated BRCA1/2 Variant Interpretation by MH BRCA Correlates with Predicted PARP Inhibitor Efficacy Association by MH Guide.
Hirotsu Y et al.
International Journal of Molecular Sciences, 2020
32486089 (PubMed )
Supplement: ijms-21-03895-s001.zip › Supplemental_Table_2.xlsx › Momozawa_et_al.
Predicting the Disease Risk of Protein Mutation Sequences With Pre-training Model.
Li K et al.
Frontiers in Genetics, 2020
33408741 (PubMed )
Supplement: Table_2.XLSX › Sheet1
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
31484976 (PubMed )
Supplement: 41598_2019_49224_MOESM2_ESM.xlsx › Sheet1
Germline variation in BRCA1/2 is highly ethnic-specific: Evidence from over 30,000 Chinese hereditary breast and ovarian cancer patients.
Bhaskaran SP et al.
International Journal of Cancer, 2019
30702160 (PubMed )
Supplement: IJC-145-962-s006.xlsx › BRCA1_ethnic_source_
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
Insights into BRCA Cancer Predisposition from Integrated Germline and Somatic Analyses in 7632 Cancers.
Yost S et al.
Jnci Cancer Spectrum, 2019
31360904 (PubMed )
Supplement: supplementary_table_pkz028.zip › 20181104_Supplementary_Tables.xlsx › Supplementary_Table_1
Clinically Actionable Insights into Initial and Matched Recurrent Glioblastomas to Inform Novel Treatment Approaches.
Ellis HP et al.
Journal of Oncology, 2019
32082376 (PubMed )
Supplement: 4878547.f1.zip › 4878547.f1 › Ellis_et_al_SNVs_041018_Supplementary_Tables.xlsx › TableS7_TCGA_mutatons
Somatic POLE exonuclease domain mutations are early events in sporadic endometrial and colorectal carcinogenesis, determining driver mutational landscape, clonal neoantigen burden and immune response.
Temko D et al.
The Journal of Pathology, 2018
29604063 (PubMed )
Supplement: PATH-245-283-s021.xlsx › EC.Drivers.Edited
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.s010.xlsx › S9_Table
Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics.
Ernst C et al.
Bmc Medical Genomics, 2018
29580235 (PubMed )
Supplement: 12920_2018_353_MOESM1_ESM.xlsx › Classified_Variant_Set
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants
[A bioinformatic pipeline for NGS data analysis and mutation calling in human solid tumors].
Tsukanov KY et al.
Biomeditsinskaia Khimiia, 2017
Findings of a 1303 Korean whole-exome sequencing study.
Kwak SH et al.
Experimental & Molecular Medicine, 2017
28706299 (PubMed )
Supplement: emm2017142x4.xls › Table_S1
Longitudinal analysis of treatment-induced genomic alterations in gliomas.
Erson-Omay EZ et al.
Genome Medicine, 2017
28153049 (PubMed )
Supplement: 13073_2017_401_MOESM3_ESM.xlsx › AllMutations_Clonality
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
25348012 (PubMed )
Supplement: 13059_2014_484_MOESM2_ESM.xlsx › Additional_file_2
Mutational landscape and significance across 12 major cancer types.
Kandoth C et al.
Nature, 2013
24132290 (PubMed )
Supplement: 41586_2013_BFnature12634_MOESM82_ESM.zip › nature12634-s1 › Supplementary_Table_5.xlsx › S_Table_5
A guide for functional analysis of BRCA1 variants of uncertain significance.
Millot GA et al.
Human Mutation, 2012
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