| Literature DB >> 31209962 |
Maria C Aspromonte1,2, Mariagrazia Bellini1,2, Alessandra Gasparini3, Marco Carraro3, Elisa Bettella1,2, Roberta Polli1,2, Federica Cesca1,2, Stefania Bigoni4, Stefania Boni5, Ombretta Carlet6, Susanna Negrin6, Isabella Mammi7, Donatella Milani8, Angela Peron9,10, Stefano Sartori11, Irene Toldo11, Fiorenza Soli12, Licia Turolla13, Franco Stanzial14, Francesco Benedicenti14, Cristina Marino-Buslje15, Silvio C E Tosatto3,16, Alessandra Murgia1,2, Emanuela Leonardi1,2.
Abstract
Intellectual disability (ID) and autism spectrum disorder (ASD) are clinically and genetically heterogeneous diseases. Recent whole exome sequencing studies indicated that genes associated with different neurological diseases are shared across disorders and converge on common functional pathways. Using the Ion Torrent platform, we developed a low-cost next-generation sequencing gene panel that has been transferred into clinical practice, replacing single disease-gene analyses for the early diagnosis of individuals with ID/ASD. The gene panel was designed using an innovative in silico approach based on disease networks and mining data from public resources to score disease-gene associations. We analyzed 150 unrelated individuals with ID and/or ASD and a confident diagnosis has been reached in 26 cases (17%). Likely pathogenic mutations have been identified in another 15 patients, reaching a total diagnostic yield of 27%. Our data also support the pathogenic role of genes recently proposed to be involved in ASD. Although many of the identified variants need further investigation to be considered disease-causing, our results indicate the efficiency of the targeted gene panel on the identification of novel and rare variants in patients with ID and ASD.Entities:
Keywords: ASD; ID; NGS; comorbidity; gene panel; variant interpretation
Mesh:
Year: 2019 PMID: 31209962 DOI: 10.1002/humu.23822
Source DB: PubMed Journal: Hum Mutat ISSN: 1059-7794 Impact factor: 4.878