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Dokumenttyp:
Journal Article
Autor(en):
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...     »
Titel:
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...     »
Zeitschriftentitel:
Hum Mutat
Jahr:
2019
Band / Volume:
40
Heft / Issue:
9
Seitenangaben Beitrag:
1557-1578
Volltext / DOI:
doi:10.1002/humu.23818
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/31131967
Print-ISSN:
1059-7794
TUM Einrichtung:
Frauenklinik und Poliklinik; Institut für Allgemeine Pathologie und Pathologische Anatomie
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