2.5 years' experience of GeneMatcher data-sharing: a powerful tool for identifying new genes responsible for rare diseases.
Genetics in medicine : official journal of the American College of Medical Genetics
Tous les auteurs :
Bruel AL, Vitobello A, Mau-Them FT, Nambot S, Duffourd Y, Quéré V, Kuentz P, Garret P, Thevenon J, Moutton S, Lehalle D, Jean-Marçais N, , Garde A, Delanne J, Lefebvre M, Lecoquierre F, Trost D, Cho M, Begtrup A, Telegrafi A, Vabres P, Mosca-Boidron AL, Callier P, Philippe C, Faivre L, Thauvin-Robinet C
Exome sequencing (ES) powerfully identifies the molecular bases of heterogeneous conditions such as intellectual disability and/or multiple congenital anomalies (ID/MCA). Current ES analysis, combining diagnosis analysis restricted to disease-causing genes reported in OMIM database and subsequent research investigation extended to other genes, indicated causal and candidate genes around 40% and 10%. Nonconclusive results are frequent in such ultrarare conditions that recurrence and genotype-phenotype correlations are limited. International data-sharing permits the gathering of additional patients carrying variants in the same gene to draw definitive conclusions on their implication as disease causing. Several web-based tools have been developed and grouped in Matchmaker Exchange. In this study, we report our current experience as a regional center that has implemented ES as a first-line diagnostic test since 2013, working with a research laboratory devoted to disease gene identification.
GeneMatcher, NGS, data-sharing
Genet. Med.. 2018 Dec 19;: