Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Publications (1/1 displayed)

  • 2022Classification of <i>BRCA2</i> Variants of Uncertain Significance (VUS) Using an ACMG/AMP Model Incorporating a Homology-Directed Repair (HDR) Functional Assay17citations

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Couch, Fergus
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Polley, Eric C.
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Co-Authors (by relevance)

  • Couch, Fergus
  • Polley, Eric C.
  • Huang, Huaizhi
  • Na, Jie
  • Monteiro, Alvaro
  • Susswein, Lisa R.
  • Hart, Steven
  • Hiraki, Susan
  • Yang, Hana
  • Roberts, Maegan E.
  • Hruska, Kathleen S.
  • Marshall, Megan L.
  • Berkofsky-Fessler, Windy
  • Hu, Chunling
  • Shen, Wei
OrganizationsLocationPeople

article

Classification of <i>BRCA2</i> Variants of Uncertain Significance (VUS) Using an ACMG/AMP Model Incorporating a Homology-Directed Repair (HDR) Functional Assay

  • Couch, Fergus
  • Polley, Eric C.
  • Huang, Huaizhi
  • Na, Jie
  • Monteiro, Alvaro
  • Susswein, Lisa R.
  • Hart, Steven
  • Hiraki, Susan
  • Yang, Hana
  • Roberts, Maegan E.
  • Hruska, Kathleen S.
  • Dunn, Carolyn A.
  • Marshall, Megan L.
  • Berkofsky-Fessler, Windy
  • Hu, Chunling
  • Shen, Wei
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Purpose:</jats:title><jats:p>The identification of variants of uncertain significance (VUS) in the BRCA1 and BRCA2 genes by hereditary cancer testing poses great challenges for the clinical management of variant carriers. The ACMG/AMP (American College of Medical Genetics and Genomics/Association for Molecular Pathology) variant classification framework, which incorporates multiple sources of evidence, has the potential to establish the clinical relevance of many VUS. We sought to classify the clinical relevance of 133 single-nucleotide substitution variants encoding missense variants in the DNA-binding domain (DBD) of BRCA2 by incorporating results from a validated functional assay into an ACMG/AMP-variant classification model from a hereditary cancer–testing laboratory.</jats:p></jats:sec><jats:sec><jats:title>Experimental Design:</jats:title><jats:p>The 133 selected VUS were evaluated using a validated homology-directed double-strand DNA break repair (HDR) functional assay. Results were combined with clinical and genetic data from variant carriers in a rules-based variant classification model for BRCA2.</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>Of 133 missense variants, 44 were designated as non-functional and 89 were designated as functional in the HDR assay. When combined with genetic and clinical information from a single diagnostic laboratory in an ACMG/AMP-variant classification framework, 66 variants previously classified by the diagnostic laboratory were correctly classified, and 62 of 67 VUS (92.5%) were reclassified as likely pathogenic (n = 22) or likely benign (n = 40). In total, 44 variants were classified as pathogenic/likely pathogenic, 84 as benign/likely benign, and 5 remained as VUS.</jats:p></jats:sec><jats:sec><jats:title>Conclusions:</jats:title><jats:p>Incorporation of HDR functional analysis into an ACMG/AMP framework model substantially improves BRCA2 VUS re-classification and provides an important tool for determining the clinical relevance of individual BRCA2 VUS.</jats:p></jats:sec>

Topics
  • size-exclusion chromatography