Varaico: Literature-Extracted Genetic Variants

Gene:BRCA2
Variant:p.K1058R
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BRCA2

NM_000059.4:p.K1058R

Associated Papers

Characterization and functional analysis of BRCA1 and BRCA2 variants in a cohort of 100 unselected patients undergoing germline screening.

Shi Q et al.

Translational Oncology, 2025

40664060 (PubMed )
Supplement: mmc4.xlsx › Clinvar_BRCA2

The Potential of Genetics in Identifying Women at Lower Risk of Breast Cancer.

Bolze A et al.

Jama Oncology, 2024

38153744 (PubMed )
Supplement: jamaoncol-e235468-s002.xlsx › eTable_4

Protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancer.

Sather CL et al.

Cancer Medicine, 2023

37587851 (PubMed )
Supplement: CAM4-12-17632-s002.xlsx › S5.LowCoverageVariantsExpPanel

Detection of germline variants in Brazilian breast cancer patients using multigene panel testing.

Guindalini RSC et al.

Scientific Reports, 2022

35264596 (PubMed )
Supplement: 41598_2022_7383_MOESM3_ESM.xlsx › Planilha1

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_MOESM3_ESM.xls › Sheet1

Toward automation of germline variant curation in clinical cancer genetics.

Ravichandran V et al.

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

30787465 (PubMed )
Supplement: NIHMS1525468-supplement-Large_Excel_File.xlsx › Table_S6

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_MOESM3_ESM.xlsx › Hoja1

A Recurrent BRCA2 Mutation Explains the Majority of Hereditary Breast and Ovarian Cancer Syndrome Cases in Puerto Rico.

Diaz-Zabala HJ et al.

Cancers, 2018

A Bayesian framework for efficient and accurate variant prediction.

Qian D et al.

Plos One, 2018

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