Description and analysis of genetic variants in French hereditary breast and ovarian cancer families recorded in the UMD-BRCA1/BRCA2 databases

被引:70
作者
Caputo, Sandrine [1 ]
Benboudjema, Louisa [1 ]
Sinilnikova, Olga [2 ,3 ]
Rouleau, Etienne [1 ]
Beroud, Christophe [4 ,5 ,6 ]
Lidereau, Rosette [1 ]
机构
[1] Hop Rene Huguenin, Inst Curie, Serv Oncogenet, INSERM,U735, St Cloud, France
[2] Hosp Civils Lyon, Ctr Leon Berard, Unite Mixte Genet Constitut Canc Frequents, Lyon, France
[3] Univ Lyon 1, CNRS, Centrede Rech Canc Lyon, INSERM,U1052,UMR 5286, F-69365 Lyon, France
[4] INSERM, U827, Montpellier, France
[5] CHU Montpellier, Hop Arnaud de Villeneuve, Genet Mol Lab, Montpellier, France
[6] Univ Montpellier I, UFR Med, F-34000 Montpellier, France
关键词
UNIVERSAL MUTATION DATABASE; BRCA2 GERMLINE MUTATIONS; HIGH-RISK; CLINICAL-SIGNIFICANCE; LARGE REARRANGEMENTS; EMBRYONIC LETHALITY; MISSENSE MUTATIONS; POINT MUTATIONS; RECOMMENDATIONS; PCR;
D O I
10.1093/nar/gkr1160
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
BRCA1 and BRCA2 are the two main genes responsible for predisposition to breast and ovarian cancers, as a result of protein-inactivating monoallelic mutations. It remains to be established whether many of the variants identified in these two genes, so-called unclassified/unknown variants (UVs), contribute to the disease phenotype or are simply neutral variants (or polymorphisms). Given the clinical importance of establishing their status, a nationwide effort to annotate these UVs was launched by laboratories belonging to the French GGC consortium (Groupe Genetique et Cancer), leading to the creation of the UMD-BRCA1/BRCA2 databases (http://www.umd.be/BRCA1/ and http://www.umd.be/BRCA2/). These databases have been endorsed by the French National Cancer Institute (INCa) and are designed to collect all variants detected in France, whether causal, neutral or UV. They differ from other BRCA databases in that they contain co-occurrence data for all variants. Using these data, the GGC French consortium has been able to classify certain UVs also contained in other databases. In this article, we report some novel UVs not contained in the BIC database and explore their impact in cancer predisposition based on a structural approach.
引用
收藏
页码:D992 / D1002
页数:11
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