Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.L87V
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BRCA1

NM_007294.4:p.L87V

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

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

Using multiplexed functional data to reduce variant classification inequities in underrepresented populations.

Dawood M et al.

Genome Medicine, 2024

39627863 (PubMed )
Supplement: 13073_2024_1392_MOESM1_ESM.xlsx › Table_S18

Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.

Padigepati SR et al.

Human Genetics, 2024

39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › BRCA1

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

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

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_1.xlsx › Sheet1

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

Classification of variants of uncertain significance in BRCA1 and BRCA2 using personal and family history of cancer from individuals in a large hereditary cancer multigene panel testing cohort.

Li H et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020

31853058 (PubMed )
Supplement: 41436_2019_729_MOESM2_ESM.xls › 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_

Massively Parallel Functional Analysis of BRCA1 RING Domain Variants.

Starita LM et al.

Genetics, 2015

Integrated analysis of germline and somatic variants in ovarian cancer.

Kanchi KL et al.

Nature Communications, 2014

24448499 (PubMed )
Supplement: NIHMS551112-supplement-9.xlsx › S_Data_8

Genetic analysis of BRCA1 ubiquitin ligase activity and its relationship to breast cancer susceptibility.

Morris JR et al.

Human Molecular Genetics, 2006

Mutation scanning by meltMADGE: validations using BRCA1 and LDLR, and demonstration of the potential to identify severe, moderate, silent, rare, and paucimorphic mutations in the general population.

Alharbi KK et al.

Genome 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

Structure of a BRCA1-BARD1 heterodimeric RING-RING complex.

Brzovic PS et al.

Nature Structural Biology, 2001

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