Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.A102G
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BRCA1

NM_007294.4:p.A102G

Associated Papers

A scalable approach to resolving variants of uncertain significance.

Tejura M et al.

Biorxiv : the Preprint Server for Biology, 2026

41727046 (PubMed )
Supplement: media-7.xlsx › VarChAMP_data_supp_mat_PP

Functional assessment of protein variants in structured domains by fluorescence cross-correlation spectroscopy.

Mateu-Regué À et al.

Scientific Reports, 2026

VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.

Ohno S et al.

Computational and Structural Biotechnology Journal, 2025

40160862 (PubMed )
Supplement: mmc2.xlsx › Sheet1

Exploring Co-occurring POLE Exonuclease and Non-exonuclease Domain Mutations and Their Impact on Tumor Mutagenicity.

Shah SM et al.

Cancer Research Communications, 2024

38282550 (PubMed )
Supplement: crc-23-0312-s02.xlsx › Fig3A_CRC_data

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

Ethnic-specificity, evolution origin and deleteriousness of Asian BRCA variation revealed by over 7500 BRCA variants derived from Asian population.

Qin Z et al.

International Journal of Cancer, 2023

36385461 (PubMed )
Supplement: IJC-152-1159-s002.xlsx › BRCA1

Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.

Keskin Karakoyun H et al.

Frontiers in Genetics, 2023

36896237 (PubMed )
Supplement: Table1.xlsx › clinvar_breastcancer_allvariant

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_T3

A Comprehensive Evaluation of the Performance of Prediction Algorithms on Clinically Relevant Missense Variants.

Qorri E et al.

International Journal of Molecular Sciences, 2022

35887294 (PubMed )
Supplement: ijms-23-07946-s001.zip › Supplementary_Table_S3.xlsx › BRCA1_Dataset

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

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

REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.

Tian Y et al.

Scientific Reports, 2019

31484976 (PubMed )
Supplement: 41598_2019_49224_MOESM2_ESM.xlsx › 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_

Prevalence and properties of intragenic copy-number variation in Mendelian disease genes.

Truty R et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019

29895855 (PubMed )
Supplement: 41436_2018_33_MOESM4_ESM.xlsx › Table_S1

A Bayesian framework for efficient and accurate variant prediction.

Qian D et al.

Plos One, 2018

30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants

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

The relative contribution of point mutations and genomic rearrangements in BRCA1 and BRCA2 in high-risk breast cancer families.

Palma MD et al.

Cancer Research, 2008

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Regarding the variants extracted from papers and shown text snippets from research papers, the following holds: "Some rights reserved. This work permits non-commercial use, distribution and reproduction in any medium, provided the original author and source are credited."