Classification of germline variants identified in cancer predisposition genetic testing - consensus of the CZECANCA consortium
Jazyk angličtina Země Česko Médium print
Typ dokumentu časopisecké články
PubMed
38158231
DOI
10.48095/ccko2023431
PII: 136059
Knihovny.cz E-zdroje
- Klíčová slova
- clinical relevance, genetic testing, hereditary neoplastic syndromes, massively parallel sequencing, massively-parallel sequencing, national consensus, variant classification,
- MeSH
- dědičné nádorové syndromy * genetika MeSH
- genetická predispozice k nemoci * MeSH
- genetické testování metody MeSH
- konsensus MeSH
- lidé MeSH
- zárodečné buňky MeSH
- zárodečné mutace MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Hereditary cancer syndromes are an important subset of malignant cancers caused by pathogenic variants in one of many known cancer predisposition genes. Diagnosis of cancer predisposition is based on genetic testing using next-generation sequencing. This allows many genes to be analysed at once, increasing the number of variants identified. The correct classification of the variants found is essential for the clinical interpretation of genetic test results. PURPOSE: The aim of this study is to summarise the rules for classifying identified variants within individual laboratories and to present the process for creating a common classification. In the Czech Republic, the sharing of identified genetic variants and the development of their consensus classification among national laboratory diagnostic communities is carried out within the Czech Cancer Panel for Clinical Application (CZECANCA) consortium of scientific and diagnostic oncogenetic laboratories. Consensus for variant classification follows a defined protocol. Sharing the results and consensus classification accelerates and refines the release of genetic test results, harmonises results between laboratories and thus contributes to improving the care of individuals at high risk of cancer and their relatives.
Citace poskytuje Crossref.org