Associated Papers
ACMG/AMP interpretation of BRCA1 missense variants: Structure-informed scores add evidence strength granularity to the PP3/BP4 computational evidence.
Ramadane-Morchadi L et al.
American Journal of Human Genetics, 2025
40233743 (PubMed )
Supplement: mmc2.xlsx › Hoja1
Artificial intelligence-based recognition for variant pathogenicity of BRCA1 using AlphaFold2-predicted structures.
Li C et al.
Theranostics, 2023
36593954 (PubMed )
Supplement: thnov13p0391s1.pdf
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_T7
Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants.
Loong L et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2022
34906453 (PubMed )
Supplement: mmc1.xlsx › Sup_Table_3_Variantdata
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
Computational analysis of deleterious missense mutations in aspartoacylase that cause Canavan's disease.
Sreevishnupriya K et al.
Science China. Life Sciences, 2012
Mutation screening of the BRCA1 gene in sporadic breast cancer in southern Chinese populations.
Haitian Z et al.
Breast (edinburgh, Scotland), 2008
[Study of BRCA1 and BRCA2 gene mutations in human sporadic breast cancers].
Zhang HT et al.
Zhonghua Wai Ke Za Zhi [chinese Journal of Surgery], 2007
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