학술논문

Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders
Document Type
Academic Journal
Source
Molecular Autism. April 15, 2015, Vol. 6 Issue 1
Subject
Gene mutations -- Analysis -- Genetic aspects -- Usage -- Research
Medical research -- Analysis -- Usage
Medicine, Experimental -- Analysis -- Usage
RNA sequencing -- Analysis -- Usage -- Research -- Genetic aspects
Genes -- Analysis -- Research -- Usage -- Genetic aspects
Cardiac patients -- Analysis -- Care and treatment
Disease susceptibility -- Genetic aspects -- Analysis -- Care and treatment -- Research
Monoamine oxidase -- Analysis -- Usage -- Research
Autism -- Genetic aspects -- Analysis -- Care and treatment -- Research
Health
Care and treatment
Analysis
Usage
Genetic aspects
Research
Language
English
ISSN
2040-2392
Abstract
Background Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders with high heritability. Recent findings support a highly heterogeneous and complex genetic etiology including rare de novo and inherited mutations or chromosomal rearrangements as well as double or multiple hits. Methods We performed whole-exome sequencing (WES) and blood cell transcriptome by RNAseq in a subset of male patients with idiopathic ASD (n = 36) in order to identify causative genes, transcriptomic alterations, and susceptibility variants. Results We detected likely monogenic causes in seven cases: five de novo (SCN2A, MED13L, KCNV1, CUL3, and PTEN) and two inherited X-linked variants (MAOA and CDKL5). Transcriptomic analyses allowed the identification of intronic causative mutations missed by the usual filtering of WES and revealed functional consequences of some rare mutations. These included aberrant transcripts (PTEN, POLR3C), deregulated expression in 1.7% of mutated genes (that is, SEMA6B, MECP2, ANK3, CREBBP), allele-specific expression (FUS, MTOR, TAF1C), and non-sense-mediated decay (RIT1, ALG9). The analysis of rare inherited variants showed enrichment in relevant pathways such as the PI3K-Akt signaling and the axon guidance. Conclusions Integrative analysis of WES and blood RNAseq data has proven to be an efficient strategy to identify likely monogenic forms of ASD (19% in our cohort), as well as additional rare inherited mutations that can contribute to ASD risk in a multifactorial manner. Blood transcriptomic data, besides validating 88% of expressed variants, allowed the identification of missed intronic mutations and revealed functional correlations of genetic variants, including changes in splicing, expression levels, and allelic expression. Keywords: ASD, Whole-exome sequencing, CNV, SNV
Author(s): Marta Codina-Solà[sup.1,2,3] , Benjamín Rodríguez-Santiago[sup.4] , Aïda Homs[sup.1,2,3] , Javier Santoyo[sup.5] , Maria Rigau[sup.1] , Gemma Aznar-Laín[sup.6] , Miguel del Campo[sup.1,3,7] , Blanca Gener[sup.8] , Elisabeth Gabau[sup.9] , María [...]