Associated Papers
Reinterpretation of Conflicting ClinVar BRCA1 Missense Variants Using VarSome and CanVIG-UK Gene-Specific Guidance.
So MK et al.
Diagnostics (basel, Switzerland), 2024
39767183 (PubMed )
Supplement: diagnostics-14-02821-s001.zip › diagnostics-3307629-supplementary_Table.xlsx › Supplementary_Table_S1
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
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
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
Comparison of in silico strategies to prioritize rare genomic variants impacting RNA splicing for the diagnosis of genomic disorders.
Rowlands C et al.
Scientific Reports, 2021
34663891 (PubMed )
Supplement: 41598_2021_99747_MOESM2_ESM.xlsx › Table-S1-modified
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
Blood RNA analysis can increase clinical diagnostic rate and resolve variants of uncertain significance.
Wai HA et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
32123317 (PubMed )
Supplement: 41436_2020_766_MOESM3_ESM.xlsx › Variant_summary
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_2
Finding driver mutations in cancer: Elucidating the role of background mutational processes.
Brown AL et al.
Plos Computational Biology, 2019
31034466 (PubMed )
Supplement: pcbi.1006981.s010.xlsx › final_benchmark
The prognostic effects of somatic mutations in ER-positive breast cancer.
Griffith OL et al.
Nature Communications, 2018
30181556 (PubMed )
Supplement: 41467_2018_5914_MOESM12_ESM.xlsx › Sheet1
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
Poly-gene fusion transcripts and chromothripsis in prostate cancer.
Wu C et al.
Genes, Chromosomes & Cancer, 2012
Application of embryonic lethal or other obvious phenotypes to characterize the clinical significance of genetic variants found in trans with known deleterious mutations.
Judkins T et al.
Cancer Research, 2005
Analysis of missense variation in human BRCA1 in the context of interspecific sequence variation.
Abkevich V et al.
Journal of Medical Genetics, 2004
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