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Human Mutation
Article . 2017
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BRCA Share: A Collection of Clinical BRCA Gene Variants.

Authors: Béroud, Christophe; Letovsky, Stanley I; Braastad, Corey D; Caputo, Sandrine M; Beaudoux, Olivia; Bignon, Yves Jean; Bressac-de Paillerets, Brigitte; +30 Authors

BRCA Share: A Collection of Clinical BRCA Gene Variants.

Abstract

As next-generation sequencing increases access to human genetic variation, the challenge of determining clinical significance of variants becomes ever more acute. Germline variants in the BRCA1 and BRCA2 genes can confer substantial lifetime risk of breast and ovarian cancer. Assessment of variant pathogenicity is a vital part of clinical genetic testing for these genes. A database of clinical observations of BRCA variants is a critical resource in that process. This article describes BRCA Share™, a database created by a unique international alliance of academic centers and commercial testing laboratories. By integrating the content of the Universal Mutation Database generated by the French Unicancer Genetic Group with the testing results of two large commercial laboratories, Quest Diagnostics and Laboratory Corporation of America (LabCorp), BRCA Share™ has assembled one of the largest publicly accessible collections of BRCA variants currently available. Although access is available to academic researchers without charge, commercial participants in the project are required to pay a support fee and contribute their data. The fees fund the ongoing curation effort, as well as planned experiments to functionally characterize variants of uncertain significance. BRCA Share™ databases can therefore be considered as models of successful data sharing between private companies and the academic world.

Country
France
Keywords

Databases, Factual, ovar- ian cancer, [SDV.CAN]Life Sciences [q-bio]/Cancer, Breast Neoplasms, [SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics, [SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, breast cancer, [SDV.CAN] Life Sciences [q-bio]/Cancer, 616, genetic databases, Humans, Genetic Predisposition to Disease, variant classification, Data Curation, BRCA2 Protein, Ovarian Neoplasms, BRCA1 Protein, BRCA1, BRCA2, Molecular Biology/Molecular biology, ovarian cancer, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, NGS, Mutation, Female

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    54
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 1%
Green
Related to Research communities
Cancer Research