Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.N723D
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BRCA1

NM_007294.4:p.N723D

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

Deleterious and ethnic-related BRCA1/2 mutations in tissue and blood of Egyptian colorectal cancer patients and its correlation with human papillomavirus.

Youssef ASE et al.

Clinical and Experimental Medicine, 2023

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

Genetic variants in African-American and Hispanic patients with breast cancer.

Dutta P et al.

Oncology Letters, 2023

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

Familial history and prevalence of BRCA1, BRCA2 and TP53 pathogenic variants in HBOC Brazilian patients from a public healthcare service.

Matta BP et al.

Scientific Reports, 2022

36329109 (PubMed )
Supplement: 41598_2022_23012_MOESM2_ESM.xlsx › Supplementary_Table_S2_

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

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

The molecular characteristics of high-grade gastroenteropancreatic neuroendocrine neoplasms.

Venizelos A et al.

Endocrine-related Cancer, 2021

34647903 (PubMed )
Supplement: supplementary_table_4.xlsx › Targetable_in_NEC

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

Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays.

Khoruddin NA et al.

Scientific Reports, 2021

34373545 (PubMed )
Supplement: 41598_2021_95618_MOESM1_ESM.xlsx › Training_Dataset

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

Pathogenicity assessment of variants for breast cancer susceptibility genes based on BRCAness of tumor sample.

Yoshida R et al.

Cancer Science, 2021

33421217 (PubMed )
Supplement: CAS-112-1310-s003.xlsx › Table_S2

Gene panel screening for insight towards breast cancer susceptibility in different ethnicities.

Bishop MR et al.

Plos One, 2020

32866190 (PubMed )
Supplement: pone.0238295.s002.xlsx › S2_Table

Predicting the Disease Risk of Protein Mutation Sequences With Pre-training Model.

Li K et al.

Frontiers in Genetics, 2020

33408741 (PubMed )
Supplement: Table_2.XLSX › 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_

Analysis of the pathogenic variants of BRCA1 and BRCA2 using next-generation sequencing in women with familial breast cancer: a case-control study.

Zayas-Villanueva OA et al.

Bmc Cancer, 2019

31331294 (PubMed )
Supplement: 12885_2019_5950_MOESM1_ESM.xlsx › hereditary

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_2

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

Population and breast cancer patients' analysis reveals the diversity of genomic variation of the BRCA genes in the Mexican population.

Fernández-Lopez JC et al.

Human Genomics, 2019

30630528 (PubMed )
Supplement: 40246_2018_188_MOESM2_ESM.xlsx › Hoja1

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

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

Lu C et al.

Nature Communications, 2015

26689913 (PubMed )
Supplement: ncomms10086-s13.xlsx › supplementary_data_12

New recurrent BRCA1/2 mutations in Polish patients with familial breast/ovarian cancer detected by next generation sequencing.

Kluska A et al.

Bmc Medical Genomics, 2015

Identification of Medically Actionable Secondary Findings in the 1000 Genomes.

Olfson E et al.

Plos One, 2015

26332594 (PubMed )
Supplement: pone.0135193.s002.xls › Sheet1

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

BRCA1 point mutations in premenopausal breast cancer patients from Central Sudan.

Biunno I et al.

Familial Cancer, 2014

BRCA1, TP53, and CHEK2 germline mutations in uterine serous carcinoma.

Pennington KP et al.

Cancer, 2013

A guide for functional analysis of BRCA1 variants of uncertain significance.

Millot GA et al.

Human Mutation, 2012

A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS).

Lindor NM et al.

Human Mutation, 2012

Evaluation of unclassified variants in the breast cancer susceptibility genes BRCA1 and BRCA2 using five methods: results from a population-based study of young breast cancer patients.

Lee E et al.

Breast Cancer Research : Bcr, 2008

18284688 (PubMed )
Supplement: bcr1865-S3.doc

A systematic genetic assessment of 1,433 sequence variants of unknown clinical significance in the BRCA1 and BRCA2 breast cancer-predisposition genes.

Easton DF et al.

American Journal of Human Genetics, 2007

Application of embryonic lethal or other obvious phenotypes to characterize the clinical significance of genetic variants found in trans with known deleterious mutations.

Judkins T et al.

Cancer Research, 2005

Truncating BRCA1 mutations are uncommon in a cohort of hereditary prostate cancer families with evidence of linkage to 17q markers.

Zuhlke KA et al.

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2004

Analysis of missense variation in human BRCA1 in the context of interspecific sequence variation.

Abkevich V et al.

Journal of Medical Genetics, 2004

Breast cancer genetics in African Americans.

Olopade OI et al.

Cancer, 2003

Screening of Germline BRCA1 and BRCA2 Variants in Nigerian Breast Cancer Patients.

Onyia AF et al.

Technology in Cancer Research & Treatment, 0

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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."