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

Claire Redin(Centre National de la Recherche Scientifique), Bénédicte Gérard(Hôpitaux Universitaires de Strasbourg), Julia Lauer(Hôpitaux Universitaires de Strasbourg), Yvan Herenger(Hôpitaux Universitaires de Strasbourg), Jean Muller(Centre National de la Recherche Scientifique), Angélique Quartier(Centre National de la Recherche Scientifique), Alice Masurel‐Paulet(Hôpital d'Enfants), Marjolaine Willems(Hôpital Arnaud de Villeneuve), Gaëtan Lesca(Hospices Civils de Lyon), Salima El-Chehadeh(Hôpital d'Enfants), Stéphanie Le Gras(Centre National de la Recherche Scientifique), Serge Vicaire(Centre National de la Recherche Scientifique), Muriel Philipps(Centre National de la Recherche Scientifique), Michaël Dumas(Centre National de la Recherche Scientifique), Véronique Geoffroy(Centre National de la Recherche Scientifique), Claire Feger(Centre National de la Recherche Scientifique), Nicolas Haumesser(Centre National de la Recherche Scientifique), Yves Alembik(Hôpital d'Hautepierre), Magalie Barth(Centre Hospitalier Universitaire d'Angers), Dominique Bonneau(Centre Hospitalier Universitaire d'Angers), Estelle Colin(Centre Hospitalier Universitaire d'Angers), Hélène Dollfus(Inserm), Bérénice Doray(Hôpital d'Hautepierre), Marie‐Ange Delrue(Université de Bordeaux), Valérie Drouin‐Garraud(Université de Rouen Normandie), Elisabeth Flori(Hôpital d'Hautepierre), Mélanie Fradin(Centre Hospitalier Universitaire de Rennes), Christine Francannet, Alice Goldenberg(Université de Rouen Normandie), Serge Lumbroso(Centre Hospitalier Universitaire de Nîmes), Michèle Mathieu‐Dramard(Centre Hospitalier Universitaire Amiens-Picardie), Dominique Martin‐Coignard(Centre Hospitalier du Mans), Didier Lacombe(Université de Bordeaux), Gilles Morin(Centre Hospitalier Universitaire Amiens-Picardie), Anne Polge(Centre Hospitalier Universitaire de Nîmes), Sylvie Sukno(Groupe Hospitalier de l'Institut Catholique de Lille), Christel Thauvin‐Robinet(Hôpital d'Enfants), Julien Thévenon(Hôpital d'Enfants), Martine Doco‐Fenzy(Centre Hospitalier Universitaire de Reims), David Geneviève(Hôpital Arnaud de Villeneuve), Pierre Sarda(Hôpital Arnaud de Villeneuve), Patrick Edery(Hospices Civils de Lyon), Bertrand Isidor(Centre Hospitalier Universitaire de Nantes), Bernard Jost(Centre National de la Recherche Scientifique), Laurence Olivier-Faivre(Hôpital d'Enfants), Jean‐Louis Mandel(Centre National de la Recherche Scientifique), Amélie Piton(Centre National de la Recherche Scientifique)
Journal of Medical Genetics
August 28, 2014
Cited by 273Open Access
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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.


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