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A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
Published on: June 15, 2011
De novo Mutations (DNMs) in Autism Spectrum Disorder (ASD): Pathway and Network Analysis
Aitana Alonso-Gonzalez1, Cristina Rodriguez-Fontenla2, Angel Carracedo1,2
1Grupo de Medicina Xenómica, Fundación Instituto de Investigación Sanitaria de Santiago de Compostela, Center for Research in Molecular Medicine and Chronic Diseases, Universidade de Santiago de Compostela, Santiago, Spain.
Abstract:
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder (NDD) defined by impairments in social communication and social interactions, accompanied by repetitive behavior and restricted interests. ASD is characterized by its clinical and etiological heterogeneity, which makes it difficult to elucidate the neurobiological mechanisms underlying its pathogenesis. Recently, de novo mutations (DNMs) have been recognized as strong source of genetic causality. Here, we review different aspects of the DNMs associated with ASD, including their functional annotation and classification. In addition, we also focus on the most recent advances in this area, such as the detection of PZMs (post-zygotic mutations), and we outline the main bioinformatics tools commonly employed to study these. Some of these approaches available allow DNMs to be analyzed in the context of gene networks and pathways, helping to shed light on the biological processes underlying ASD. To end this review, a brief insight into the future perspectives for genetic studies into ASD will be provided.
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