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Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders
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....
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427998/ https://www.ncbi.nlm.nih.gov/pubmed/25969726 http://dx.doi.org/10.1186/s13229-015-0017-0 |
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author | Codina-Solà, Marta Rodríguez-Santiago, Benjamín Homs, Aïda Santoyo, Javier Rigau, Maria Aznar-Laín, Gemma del Campo, Miguel Gener, Blanca Gabau, Elisabeth Botella, María Pilar Gutiérrez-Arumí, Armand Antiñolo, Guillermo Pérez-Jurado, Luis Alberto Cuscó, Ivon |
author_facet | Codina-Solà, Marta Rodríguez-Santiago, Benjamín Homs, Aïda Santoyo, Javier Rigau, Maria Aznar-Laín, Gemma del Campo, Miguel Gener, Blanca Gabau, Elisabeth Botella, María Pilar Gutiérrez-Arumí, Armand Antiñolo, Guillermo Pérez-Jurado, Luis Alberto Cuscó, Ivon |
author_sort | Codina-Solà, Marta |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13229-015-0017-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4427998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44279982015-05-13 Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders Codina-Solà, Marta Rodríguez-Santiago, Benjamín Homs, Aïda Santoyo, Javier Rigau, Maria Aznar-Laín, Gemma del Campo, Miguel Gener, Blanca Gabau, Elisabeth Botella, María Pilar Gutiérrez-Arumí, Armand Antiñolo, Guillermo Pérez-Jurado, Luis Alberto Cuscó, Ivon Mol Autism Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13229-015-0017-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-15 /pmc/articles/PMC4427998/ /pubmed/25969726 http://dx.doi.org/10.1186/s13229-015-0017-0 Text en © Codina-Solà et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Codina-Solà, Marta Rodríguez-Santiago, Benjamín Homs, Aïda Santoyo, Javier Rigau, Maria Aznar-Laín, Gemma del Campo, Miguel Gener, Blanca Gabau, Elisabeth Botella, María Pilar Gutiérrez-Arumí, Armand Antiñolo, Guillermo Pérez-Jurado, Luis Alberto Cuscó, Ivon Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders |
title | Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders |
title_full | Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders |
title_fullStr | Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders |
title_full_unstemmed | Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders |
title_short | Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders |
title_sort | integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427998/ https://www.ncbi.nlm.nih.gov/pubmed/25969726 http://dx.doi.org/10.1186/s13229-015-0017-0 |
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