Varaico: Literature-Extracted Genetic Variants

Gene:BRCA1
Variant:p.E1214K
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BRCA1

NM_007294.4:p.E1214K

Associated Papers

Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.

Ahmad RM et al.

Briefings in Bioinformatics, 2025

41263939 (PubMed )
Supplement: supplementary_materials_bbaf611_1_.zip › Supplementary_materials_bbaf611 › Supplementary_Table_S8.xlsx › Sheet1

The Causal Pivot: A structural approach to genetic heterogeneity and variant discovery in complex diseases.

Shaw CA et al.

American Journal of Human Genetics, 2025

40829599 (PubMed )
Supplement: mmc2.xlsx › Annotations

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

ATM deficiency confers specific therapeutic vulnerabilities in bladder cancer.

Zhou Y et al.

Science Advances, 2023

37992168 (PubMed )
Supplement: sciadv.adg2263_tables_s1_to_s5.zip › adg2263_Table_S1.xlsx › Genomic_data

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

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

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

Lysine acetylation regulates the interaction between proteins and membranes.

Okada AK et al.

Nature Communications, 2021

34753925 (PubMed )
Supplement: 41467_2021_26657_MOESM4_ESM.zip › Bioinformatics.zip › Datasets › Unused › PTMVAR_download.xlsx › Humsavar_overlap_2PSP_PTM5-14-1

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

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

Distinct genomic subclasses of high-grade/progressive meningiomas: NF2-associated, NF2-exclusive, and NF2-agnostic.

Williams EA et al.

Acta Neuropathologica Communications, 2020

33087175 (PubMed )
Supplement: 40478_2020_1040_MOESM1_ESM.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

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_

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

Mutational Analysis of 472 Urothelial Carcinoma Across Grades and Anatomic Sites.

Nassar AH et al.

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2019

30593515 (PubMed )
Supplement: 10780432ccr183147-sup-209386_2_supp_5192871_ptz639.xlsx › S1.4_Deleterious_SNV__indels

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

Mutations in BRCA1, BRCA2 and other breast and ovarian cancer susceptibility genes in Central and South American populations.

Jara L et al.

Biological Research, 2017

28985766 (PubMed )
Supplement: 40659_2017_139_MOESM1_ESM.xlsx › TABLE_I

Prevalence of mutations in a panel of breast cancer susceptibility genes in BRCA1/2-negative patients with early-onset breast cancer.

Maxwell KN et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2015

25503501 (PubMed )
Supplement: NIHMS641969-supplement-Supplementary_Table_1.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

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

A high-throughput functional complementation assay for classification of BRCA1 missense variants.

Bouwman P et al.

Cancer Discovery, 2013

Missense variants of uncertain significance (VUS) altering the phosphorylation patterns of BRCA1 and BRCA2.

Tram E et al.

Plos One, 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

Clinical impact of unclassified variants of the BRCA1 and BRCA2 genes.

Akbari MR et al.

Journal of Medical Genetics, 2011

Advantage of high-resolution melting curve analysis over conformation-sensitive gel electrophoresis for mutational screening of BRCA1 and BRCA2 genes.

de Juan Jiménez I et al.

Clinica Chimica Acta; International Journal of Clinical Chemistry, 2011

Natural selection and mammalian BRCA1 sequences: elucidating functionally important sites relevant to breast cancer susceptibility in humans.

Burk-Herrick A et al.

Mammalian Genome : Official Journal of the International Mammalian Genome Society, 2006

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

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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."