Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.T1700P
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BRCA1

NM_007294.4:p.T1700P

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

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

Genetic Testing of Breast Cancer Patients with Very Early-Onset Breast Cancer (≤30 Years) Yields a High Rate of Germline Pathogenic Variants, Mainly in the BRCA1, TP53, and BRCA2 Genes.

Apostolou P et al.

Cancers, 2024

39001430 (PubMed )
Supplement: cancers-16-02368-s001.zip › cancers-3067616-supplementary.pdf

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-3.xlsx › Table_S2

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_13.xlsx › Sheet1

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
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