Varaico: Literature-Extracted Genetic Variants

Gene:BRCA2
Variant:p.G267E
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BRCA2

NM_000059.4:p.G267E

Associated Papers

Novel Insights into the Enigmatic Genetics of Male Breast Cancer in China.

Lang GT et al.

Pathophysiology : the Official Journal of the International Society for Pathophysiology, 2026

41718387 (PubMed )
Supplement: pathophysiology-33-00009-s001.zip › Supplementary_Table_2.pdf

Unrecognised actionability for breast cancer risk variants identified in a national-level review of Australian familial cancer centres.

Fortuno C et al.

European Journal of Human Genetics : Ejhg, 2024

39402389 (PubMed )
Supplement: 41431_2024_1705_MOESM2_ESM.xlsx › BRCA2

Defective kinase activity of IKKα leads to combined immunodeficiency and disruption of immune tolerance in humans.

Cildir G et al.

Nature Communications, 2024

39550372 (PubMed )
Supplement: 41467_2024_54345_MOESM1_ESM.pdf

Identification of TP53 germline variants in pediatric patients undergoing tumor testing: strategy and prevalence.

Luo M et al.

Journal of the National Cancer Institute, 2024

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

Multi-gene panel testing and association analysis in Cypriot breast cancer cases and controls.

Zanti M et al.

Frontiers in Genetics, 2023

37790698 (PubMed )
Supplement: DataSheet1.xlsx › Table_S2

MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model.

Karalidou V et al.

Biomolecules, 2022

36358902 (PubMed )
Supplement: biomolecules-12-01552-s001.zip › final_annotation_file_CanVaS.xlsx › Sheet1

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_S16

Rates of Variants of Uncertain Significance Among Patients With Breast Cancer Undergoing Genetic Testing: Regional Perspectives.

Abdel-Razeq H et al.

Frontiers in Oncology, 2022

Spectrum of Germline Pathogenic Variants in BRCA1/2 Genes in the Apulian Southern Italy Population: Geographic Distribution and Evidence for Targeted Genetic Testing.

Patruno M et al.

Cancers, 2021

34572941 (PubMed )
Supplement: cancers-13-04714-s001.zip › cancers-1331888-supplementary.pdf

Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach.

Bhai P et al.

Frontiers in Genetics, 2021

34326862 (PubMed )
Supplement: Data_Sheet_1.zip › Supplementary_files › Supplementary_Table_S4.xlsx › Variant_summary

Spectrum of Germline BRCA1 and BRCA2 Variants Identified in 2351 Ovarian and Breast Cancer Patients Referring to a Reference Cancer Hospital of Rome.

Santonocito C et al.

Cancers, 2020

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 › BRCA2_ethnic_sources_

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

Cross-species genomic landscape comparison of human mucosal melanoma with canine oral and equine melanoma.

Wong K et al.

Nature Communications, 2019

30664638 (PubMed )
Supplement: 41467_2018_8081_MOESM5_ESM.xlsx › Equine-mucosal

BRCA1 founder mutations and beyond in the Polish population: A single-institution BRCA1/2 next-generation sequencing study.

Kowalik A et al.

Plos One, 2018

30040829 (PubMed )
Supplement: pone.0201086.s010.xlsx › S3_Table_VUS

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."