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Document type:
Journal Article
Author(s):
Parsons, Michael T; Tudini, Emma; Li, Hongyan; Hahnen, Eric; Wappenschmidt, Barbara; Feliubadalo, Lidia; Aalfs, Cora M; Agata, Simona; Aittomäki, Kristiina; Alducci, Elisa; Alonso-Cerezo, María Concepción; Arnold, Norbert; Auber, Bernd; Austin, Rachel; Azzollini, Jacopo; Balmana, Judith; Barbieri, Elena; Bartram, Claus R; Blanco, Ana; Blümcke, Britta; Bonache, Sandra; Bonanni, Bernardo; Borg, Ake; Bortesi, Beatrice; Brunet, Joan; Bruzzone, Carla; Bucksch, Karolin; Cagnoli, Giulia; Caldes, Trinid...     »
Title:
Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification.
Abstract:
The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene...     »
Journal title abbreviation:
Hum Mutat
Year:
2019
Journal volume:
40
Journal issue:
9
Pages contribution:
1557-1578
Fulltext / DOI:
doi:10.1002/humu.23818
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/31131967
Print-ISSN:
1059-7794
TUM Institution:
Frauenklinik und Poliklinik; Institut für Allgemeine Pathologie und Pathologische Anatomie
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