Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.V772A
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BRCA1

NM_007294.4:p.V772A

Associated Papers

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

Pathogenic variants in human DNA damage repair genes mostly arose in recent human history.

Zhao B et al.

Bmc Cancer, 2024

38575974 (PubMed )
Supplement: 12885_2024_12160_MOESM3_ESM.xlsx › Sheet1

The evolutionary impact of childhood cancer on the human gene pool.

Stoltze UK et al.

Nature Communications, 2024

38424437 (PubMed )
Supplement: 41467_2024_45975_MOESM4_ESM.xlsx › Supplementary_Data_5

SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion.

Canson DM et al.

Bioinformatics (oxford, England), 2023

37021934 (PubMed )
Supplement: btad179_supplementary_data.zip › SAI10kcalc_supp_tables_final.xlsx › S1.variants

APPLICATION OF THE ACMG/AMP FRAMEWORK TO CAPTURE EVIDENCE RELEVANT TO PREDICTED AND OBSERVED IMPACT ON SPLICING: RECOMMENDATIONS FROM THE CLINGEN SVI SPLICING SUBGROUP.

Walker LC et al.

Medrxiv : the Preprint Server for Health Sciences, 2023

36865205 (PubMed )
Supplement: media-10.xlsx › Table_S2

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

BRCA1 Norway: comparison of classification for BRCA1 germline variants detected in families with suspected hereditary breast and ovarian cancer between different laboratories.

Hovland HN et al.

Familial Cancer, 2022

Breast cancer risks associated with missense variants in breast cancer susceptibility genes.

Dorling L et al.

Genome Medicine, 2022

35585550 (PubMed )
Supplement: 13073_2022_1052_MOESM2_ESM.xlsx › Table_S15

Human BRCA pathogenic variants were originated during recent human history.

Li J et al.

Life Science Alliance, 2022

35165121 (PubMed )
Supplement: LSA-2021-01263_TableS1.xlsx › Sheet3

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

Integrative molecular and clinical profiling of acral melanoma links focal amplification of 22q11.21 to metastasis.

Farshidfar F et al.

Nature Communications, 2022

35197475 (PubMed )
Supplement: 41467_2022_28566_MOESM1_ESM.pdf

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_4.xlsx › Sheet1

Increased gene expression variability in BRCA1-associated and basal-like breast tumours.

Wiggins GAR et al.

Breast Cancer Research and Treatment, 2021

34287743 (PubMed )
Supplement: 10549_2021_6328_MOESM3_ESM.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

Consolidated BRCA1/2 Variant Interpretation by MH BRCA Correlates with Predicted PARP Inhibitor Efficacy Association by MH Guide.

Hirotsu Y et al.

International Journal of Molecular Sciences, 2020

32486089 (PubMed )
Supplement: ijms-21-03895-s001.zip › Supplemental_Table_2.xlsx › ARUP

TAPES: A tool for assessment and prioritisation in exome studies.

Xavier A et al.

Plos Computational Biology, 2019

31613886 (PubMed )
Supplement: pcbi.1007453.s002.xlsx › SoftVsPanel

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

A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.

Shamsani J et al.

Bioinformatics (oxford, England), 2019

30475984 (PubMed )
Supplement: bty960_supplementary_data.zip › bty960-Suppl_data › Supplementary_Table_S1.xlsx › Sheet1

Insights into BRCA Cancer Predisposition from Integrated Germline and Somatic Analyses in 7632 Cancers.

Yost S et al.

Jnci Cancer Spectrum, 2019

31360904 (PubMed )
Supplement: supplementary_table_pkz028.zip › 20181104_Supplementary_Tables.xlsx › Supplementary_Table_1

Finding driver mutations in cancer: Elucidating the role of background mutational processes.

Brown AL et al.

Plos Computational Biology, 2019

31034466 (PubMed )
Supplement: pcbi.1006981.s010.xlsx › final_benchmark

CharGer: clinical Characterization of Germline variants.

Scott AD et al.

Bioinformatics (oxford, England), 2019

30102335 (PubMed )
Supplement: bioinformatics_35_5_865_s4.xlsx › SupplTable2

The prognostic effects of somatic mutations in ER-positive breast cancer.

Griffith OL et al.

Nature Communications, 2018

30181556 (PubMed )
Supplement: 41467_2018_5914_MOESM12_ESM.xlsx › Sheet1

Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics.

Ernst C et al.

Bmc Medical Genomics, 2018

29580235 (PubMed )
Supplement: 12920_2018_353_MOESM1_ESM.xlsx › Classified_Variant_Set

A Bayesian framework for efficient and accurate variant prediction.

Qian D et al.

Plos One, 2018

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

A comparative study of germline BRCA1 and BRCA2 mutation screening methods in use in 20 European clinical diagnostic laboratories.

Ellison G et al.

British Journal of Cancer, 2017

Functional and mutational landscapes of BRCA1 for homology-directed repair and therapy resistance.

Anantha RW et al.

Elife, 2017

Amplification of overlapping DNA amplicons in a single-tube multiplex PCR for targeted next-generation sequencing of BRCA1 and BRCA2.

Schenk D et al.

Plos One, 2017

Exome genotyping arrays to identify rare and low frequency variants associated with epithelial ovarian cancer risk.

Permuth JB et al.

Human Molecular Genetics, 2016

Patterns and functional implications of rare germline variants across 12 cancer types.

Lu C et al.

Nature Communications, 2015

Next-generation sequencing of the BRCA1 and BRCA2 genes for the genetic diagnostics of hereditary breast and/or ovarian cancer.

Trujillano D et al.

The Journal of Molecular Diagnostics : Jmd, 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

Clinical characteristics of ovarian cancer classified by BRCA1, BRCA2, and RAD51C status.

Cunningham JM et al.

Scientific Reports, 2014

24504028 (PubMed )
Supplement: srep04026-s1.pdf
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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."