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Efficient strategy for the molecular diagnosis of intellectual disability using targeted high-throughput sequencing

Authors :
Estelle Colin
Christel Thauvin-Robinet
Bernard Jost
Hélène Dollfus
Marie-Ange Delrue
Dominique Bonneau
Marjolaine Willems
Christine Francannet
Claire Feger
Michèle Mathieu-Dramard
Patrick Edery
Martine Doco-Fenzy
Laurence Olivier-Faivre
Véronique Geoffroy
Jean-Louis Mandel
Muriel Philipps
Serge Vicaire
Bérénice Doray
Alice Goldenberg
Magalie Barth
Julien Thevenon
Julia Lauer
Didier Lacombe
Gaetan Lesca
David Geneviève
Angélique Quartier
Dominique Martin-Coignard
Yvan Herenger
Serge Lumbroso
Salima El-Chehadeh
Bénédicte Gérard
Mélanie Fradin
Gilles Morin
Jean Muller
Yves Alembik
Sylvie Sukno
Amélie Piton
Nicolas Haumesser
Claire Redin
Bertrand Isidor
Elisabeth Flori
Valérie Drouin-Garraud
Pierre Sarda
Alice Masurel-Paulet
Michael Dumas
Stéphanie Le Gras
Anne Polge
Source :
Journal of Medical Genetics
Publication Year :
2014
Publisher :
BMJ Publishing Group, 2014.

Abstract

Background Intellectual disability (ID) is characterised by an extreme genetic heterogeneity. Several hundred genes have been associated to monogenic forms of ID, considerably complicating molecular diagnostics. Trio-exome sequencing was recently proposed as a diagnostic approach, yet remains costly for a general implementation. Methods We report the alternative strategy of targeted high-throughput sequencing of 217 genes in which mutations had been reported in patients with ID or autism as the major clinical concern. We analysed 106 patients with ID of unknown aetiology following array-CGH analysis and other genetic investigations. Ninety per cent of these patients were males, and 75% sporadic cases. Results We identified 26 causative mutations: 16 in X-linked genes (ATRX, CUL4B, DMD, FMR1, HCFC1, IL1RAPL1, IQSEC2, KDM5C, MAOA, MECP2, SLC9A6, SLC16A2, PHF8) and 10 de novo in autosomal-dominant genes (DYRK1A, GRIN1, MED13L, TCF4, RAI1, SHANK3, SLC2A1, SYNGAP1). We also detected four possibly causative mutations (eg, in NLGN3) requiring further investigations. We present detailed reasoning for assigning causality for each mutation, and associated patients’ clinical information. Some genes were hit more than once in our cohort, suggesting they correspond to more frequent ID-associated conditions (KDM5C, MECP2, DYRK1A, TCF4). We highlight some unexpected genotype to phenotype correlations, with causative mutations being identified in genes associated to defined syndromes in patients deviating from the classic phenotype (DMD, TCF4, MECP2). We also bring additional supportive (HCFC1, MED13L) or unsupportive (SHROOM4, SRPX2) evidences for the implication of previous candidate genes or mutations in cognitive disorders. Conclusions With a diagnostic yield of 25% targeted sequencing appears relevant as a first intention test for the diagnosis of ID, but importantly will also contribute to a better understanding regarding the specific contribution of the many genes implicated in ID and autism.

Details

Language :
English
ISSN :
14686244 and 00222593
Volume :
51
Issue :
11
Database :
OpenAIRE
Journal :
Journal of Medical Genetics
Accession number :
edsair.doi.dedup.....61fac5fb119f1f718294e7ee05ab1450