Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.C47W
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BRCA1

NM_007294.4:p.C47W

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

DNA repair function scores for 2172 variants in the BRCA1 amino-terminus.

Diabate M et al.

Plos Genetics, 2023

37578980 (PubMed )
Supplement: pgen.1010739.s005.xlsx › Sheet1

Older age should not be a barrier to testing for somatic variants in homologous recombination DNA repair-related genes in patients with high-grade serous ovarian carcinoma.

Pitiyarachchi O et al.

Translational Oncology, 2023

36805919 (PubMed )
Supplement: mmc1.docx

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

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_3.xlsx › Sheet1

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

Accurate classification of BRCA1 variants with saturation genome editing.

Findlay GM et al.

Nature, 2018

30209399 (PubMed )
Supplement: NIHMS1501643-supplement-2.xlsx › Sheet1

Copy number signatures and mutational processes in ovarian carcinoma.

Macintyre G et al.

Nature Genetics, 2018

30104763 (PubMed )
Supplement: NIHMS78219-supplement-3.xlsx › mutated_cases

Multi-platform molecular profiling of a large cohort of glioblastomas reveals potential therapeutic strategies.

Xiu J et al.

Oncotarget, 2016

26933808 (PubMed )
Supplement: oncotarget-07-21556-s001.pdf

Massively Parallel Functional Analysis of BRCA1 RING Domain Variants.

Starita LM et al.

Genetics, 2015

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

BRCA1 immunohistochemistry in a molecularly characterized cohort of ovarian high-grade serous carcinomas.

Garg K et al.

The American Journal of Surgical Pathology, 2013

Integrated genomic analyses of ovarian carcinoma.

Unknown Author

Nature, 2011

21720365 (PubMed )
Supplement: NIHMS313090-supplement-8.pdf
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