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Comprehensive analysis of omics data identifies relevant gene networks for Attention-Deficit/Hyperactivity Disorder (ADHD)
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent neurodevelopmental disorder that results from the interaction of both genetic and environmental risk factors. Genome-wide association studies have started to identify multiple genetic risk loci associated with ADHD, however, the e...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509350/ https://www.ncbi.nlm.nih.gov/pubmed/36153331 http://dx.doi.org/10.1038/s41398-022-02182-8 |
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author | Cabana-Domínguez, Judit Soler Artigas, María Arribas, Lorena Alemany, Silvia Vilar-Ribó, Laura Llonga, Natalia Fadeuilhe, Christian Corrales, Montse Richarte, Vanesa Ramos-Quiroga, Josep Antoni Ribasés, Marta |
author_facet | Cabana-Domínguez, Judit Soler Artigas, María Arribas, Lorena Alemany, Silvia Vilar-Ribó, Laura Llonga, Natalia Fadeuilhe, Christian Corrales, Montse Richarte, Vanesa Ramos-Quiroga, Josep Antoni Ribasés, Marta |
author_sort | Cabana-Domínguez, Judit |
collection | PubMed |
description | Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent neurodevelopmental disorder that results from the interaction of both genetic and environmental risk factors. Genome-wide association studies have started to identify multiple genetic risk loci associated with ADHD, however, the exact causal genes and biological mechanisms remain largely unknown. We performed a multi-step analysis to identify and characterize modules of co-expressed genes associated with ADHD using data from peripheral blood mononuclear cells of 270 ADHD cases and 279 controls. We identified seven ADHD-associated modules of co-expressed genes, some of them enriched in both genetic and epigenetic signatures for ADHD and in biological pathways relevant for psychiatric disorders, such as the regulation of gene expression, epigenetics and immune system. In addition, for some of the modules, we found evidence of potential regulatory mechanisms, including microRNAs and common genetic variants. In conclusion, our results point to promising genes and pathways for ADHD, supporting the use of peripheral blood to assess gene expression signatures in psychiatric disorders. Furthermore, they highlight that the combination of multi-omics signals provides deeper and broader insights into the biological mechanisms underlying ADHD. |
format | Online Article Text |
id | pubmed-9509350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95093502022-09-26 Comprehensive analysis of omics data identifies relevant gene networks for Attention-Deficit/Hyperactivity Disorder (ADHD) Cabana-Domínguez, Judit Soler Artigas, María Arribas, Lorena Alemany, Silvia Vilar-Ribó, Laura Llonga, Natalia Fadeuilhe, Christian Corrales, Montse Richarte, Vanesa Ramos-Quiroga, Josep Antoni Ribasés, Marta Transl Psychiatry Article Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent neurodevelopmental disorder that results from the interaction of both genetic and environmental risk factors. Genome-wide association studies have started to identify multiple genetic risk loci associated with ADHD, however, the exact causal genes and biological mechanisms remain largely unknown. We performed a multi-step analysis to identify and characterize modules of co-expressed genes associated with ADHD using data from peripheral blood mononuclear cells of 270 ADHD cases and 279 controls. We identified seven ADHD-associated modules of co-expressed genes, some of them enriched in both genetic and epigenetic signatures for ADHD and in biological pathways relevant for psychiatric disorders, such as the regulation of gene expression, epigenetics and immune system. In addition, for some of the modules, we found evidence of potential regulatory mechanisms, including microRNAs and common genetic variants. In conclusion, our results point to promising genes and pathways for ADHD, supporting the use of peripheral blood to assess gene expression signatures in psychiatric disorders. Furthermore, they highlight that the combination of multi-omics signals provides deeper and broader insights into the biological mechanisms underlying ADHD. Nature Publishing Group UK 2022-09-24 /pmc/articles/PMC9509350/ /pubmed/36153331 http://dx.doi.org/10.1038/s41398-022-02182-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cabana-Domínguez, Judit Soler Artigas, María Arribas, Lorena Alemany, Silvia Vilar-Ribó, Laura Llonga, Natalia Fadeuilhe, Christian Corrales, Montse Richarte, Vanesa Ramos-Quiroga, Josep Antoni Ribasés, Marta Comprehensive analysis of omics data identifies relevant gene networks for Attention-Deficit/Hyperactivity Disorder (ADHD) |
title | Comprehensive analysis of omics data identifies relevant gene networks for Attention-Deficit/Hyperactivity Disorder (ADHD) |
title_full | Comprehensive analysis of omics data identifies relevant gene networks for Attention-Deficit/Hyperactivity Disorder (ADHD) |
title_fullStr | Comprehensive analysis of omics data identifies relevant gene networks for Attention-Deficit/Hyperactivity Disorder (ADHD) |
title_full_unstemmed | Comprehensive analysis of omics data identifies relevant gene networks for Attention-Deficit/Hyperactivity Disorder (ADHD) |
title_short | Comprehensive analysis of omics data identifies relevant gene networks for Attention-Deficit/Hyperactivity Disorder (ADHD) |
title_sort | comprehensive analysis of omics data identifies relevant gene networks for attention-deficit/hyperactivity disorder (adhd) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509350/ https://www.ncbi.nlm.nih.gov/pubmed/36153331 http://dx.doi.org/10.1038/s41398-022-02182-8 |
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