Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.M1650T
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BRCA1

NM_007294.4:p.M1650T

Associated Papers

Profiling BRCA1-BRCT interactions and their functional relevance at amino acid resolution.

Mangkusaputra V et al.

Nucleic Acids Research, 2025

40966517 (PubMed )
Supplement: gkaf848_supplemental_files.zip › Sup_table_2___ABX_CtIP_complete_count_and_scores.xlsx › BRCT1_ABX

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

Protein-folding chaperones predict structure-function relationships and cancer risk in BRCA1 mutation carriers.

Gracia B et al.

Cell Reports, 2024

38368609 (PubMed )
Supplement: NIHMS1970903-supplement-2.xlsx › TableS1

BRCA1 frameshift variants leading to extended incorrect protein C termini.

Nepomuceno TC et al.

Hgg Advances, 2023

37718511 (PubMed )
Supplement: mmc1.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

Assessment of small in-frame indels and C-terminal nonsense variants of BRCA1 using a validated functional assay.

Nepomuceno TC et al.

Scientific Reports, 2022

36171434 (PubMed )
Supplement: 41598_2022_20500_MOESM1_ESM.pdf

An integrative model for the comprehensive classification of BRCA1 and BRCA2 variants of uncertain clinical significance.

Iversen ES et al.

Npj Genomic Medicine, 2022

35665744 (PubMed )
Supplement: 41525_2022_302_MOESM3_ESM.xlsx › BRCA1_inSilico_PCs___AGVGD

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

Genetic epidemiology of BRCA1- and BRCA2-associated cancer across Latin America.

Herzog JS et al.

Npj Breast Cancer, 2021

34413315 (PubMed )
Supplement: 41523_2021_317_MOESM1_ESM.xlsx › Table_S3_VUS__n_287_

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

Systematic misclassification of missense variants in BRCA1 and BRCA2 "coldspots".

Dines JN et al.

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

31911673 (PubMed )
Supplement: 41436_2019_740_MOESM2_ESM.xlsx › 1._Used_in_analysis

Combining Homologous Recombination and Phosphopeptide-binding Data to Predict the Impact of BRCA1 BRCT Variants on Cancer Risk.

Petitalot A et al.

Molecular Cancer Research : Mcr, 2019

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

Mutations in the BRCT domain confer temperature sensitivity to BRCA1 in transcription activation.

Carvalho MA et al.

Cancer Biology & Therapy, 0

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