Literature DB >> 26411299

Target sequencing approach intended to discover new mutations in non-syndromic intellectual disability.

Anna Morgan1, Ilaria Gandin1, Chiara Belcaro1, Pietro Palumbo2, Orazio Palumbo2, Elisa Biamino3, Valentina Dal Col4, Erik Laurini4, Sabrina Pricl4, Paolo Bosco5, Massimo Carella2, Giovanni Battista Ferrero3, Corrado Romano6, Adamo Pio d'Adamo1, Flavio Faletra7, Diego Vozzi8.   

Abstract

The technological improvements over the last years made considerable progresses in the knowledge of the etiology of intellectual Disability (ID). However, at present very little is known about the genetic heterogeneity underlying the non-syndromic form of ID (NS-ID). To investigate the genetic basis of NS-ID we analyzed 43 trios and 22 isolated NS-ID patients using a targeted sequencing (TS) approach. 71 NS-ID genes have been selected and sequenced in all subjects. We found putative pathogenic mutations in 7 out of 65 patients. The pathogenic role of mutations was evaluated through sequence comparison and structural analysis was performed to predict the effect of alterations in a 3D computational model through molecular dynamics simulations. Additionally, a deep patient clinical re-evaluation has been performed after the molecular results. This approach allowed us to find novel pathogenic mutations with a detection rate close to 11% in our cohort of patients. This result supports the hypothesis that many NS-ID related genes still remain to be discovered and that NS-ID is a more complex phenotype compared to syndromic form, likely caused by a complex and broad interaction between genes alterations and environment factors.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Genetic diagnosis; Non-syndromic intellectual disability; Targeted sequencing

Mesh:

Substances:

Year:  2015        PMID: 26411299     DOI: 10.1016/j.mrfmmm.2015.09.002

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  2 in total

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Authors:  Chiara Colombo; Antonino Belfiore; Nicholas Paielli; Loris De Cecco; Silvana Canevari; Erik Laurini; Maurizio Fermeglia; Sabrina Pricl; Paolo Verderio; Stefano Bottelli; Marco Fiore; Silvia Stacchiotti; Elena Palassini; Alessandro Gronchi; Silvana Pilotti; Federica Perrone
Journal:  Mol Oncol       Date:  2017-09-29       Impact factor: 6.603

2.  Impact of on-site clinical genetics consultations on diagnostic rate in children and young adults with autism spectrum disorder.

Authors:  Arnold Munnich; Caroline Demily; Lisa Frugère; Charlyne Duwime; Valérie Malan; Giulia Barcia; Céline Vidal; Emeline Throo; Claude Besmond; Laurence Hubert; Gilles Roland-Manuel; Jean-Pierre Malen; Mélanie Ferreri; Sylvain Hanein; Jean-Christophe Thalabard; Nathalie Boddaert; Moïse Assouline
Journal:  Mol Autism       Date:  2019-08-07       Impact factor: 7.509

  2 in total

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