| Literature DB >> 24362816 |
Bryony A Thompson1,2, Amanda B Spurdle1, John-Paul Plazzer3, Marc S Greenblatt4, Kiwamu Akagi5, Fahd Al-Mulla6, Bharati Bapat7, Inge Bernstein8,9, Gabriel Capellá10, Johan T den Dunnen11, Desiree du Sart12, Aurelie Fabre13, Michael P Farrell14, Susan M Farrington15, Ian M Frayling16, Thierry Frebourg17, David E Goldgar18,19, Christopher D Heinen20,21, Elke Holinski-Feder22,23, Maija Kohonen-Corish24,25,26, Kristina Lagerstedt Robinson27, Suet Yi Leung28, Alexandra Martins29, Pal Moller30, Monika Morak22,23, Minna Nystrom31, Paivi Peltomaki32, Marta Pineda10, Ming Qi33,34, Rajkumar Ramesar35, Lene Juel Rasmussen36, Brigitte Royer-Pokora37, Rodney J Scott38,39, Rolf Sijmons40, Sean V Tavtigian19, Carli M Tops11, Thomas Weber41, Juul Wijnen11, Michael O Woods42, Finlay Macrae3, Maurizio Genuardi43,44.
Abstract
The clinical classification of hereditary sequence variants identified in disease-related genes directly affects clinical management of patients and their relatives. The International Society for Gastrointestinal Hereditary Tumours (InSiGHT) undertook a collaborative effort to develop, test and apply a standardized classification scheme to constitutional variants in the Lynch syndrome-associated genes MLH1, MSH2, MSH6 and PMS2. Unpublished data submission was encouraged to assist in variant classification and was recognized through microattribution. The scheme was refined by multidisciplinary expert committee review of the clinical and functional data available for variants, applied to 2,360 sequence alterations, and disseminated online. Assessment using validated criteria altered classifications for 66% of 12,006 database entries. Clinical recommendations based on transparent evaluation are now possible for 1,370 variants that were not obviously protein truncating from nomenclature. This large-scale endeavor will facilitate the consistent management of families suspected to have Lynch syndrome and demonstrates the value of multidisciplinary collaboration in the curation and classification of variants in public locus-specific databases.Entities:
Mesh:
Year: 2013 PMID: 24362816 PMCID: PMC4294709 DOI: 10.1038/ng.2854
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330