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Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders
BACKGROUND: Psychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BIP), major depressive disorder (MDD), attention deficit-hyperactivity disorder (ADHD), and autism spectrum disorder (ASD) are often related to brain development. Both shared and unique biological and neurodevelopmental...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771094/ https://www.ncbi.nlm.nih.gov/pubmed/33371872 http://dx.doi.org/10.1186/s12920-020-00832-8 |
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author | Dai, Yulin O’Brien, Timothy D. Pei, Guangsheng Zhao, Zhongming Jia, Peilin |
author_facet | Dai, Yulin O’Brien, Timothy D. Pei, Guangsheng Zhao, Zhongming Jia, Peilin |
author_sort | Dai, Yulin |
collection | PubMed |
description | BACKGROUND: Psychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BIP), major depressive disorder (MDD), attention deficit-hyperactivity disorder (ADHD), and autism spectrum disorder (ASD) are often related to brain development. Both shared and unique biological and neurodevelopmental processes have been reported to be involved in these disorders. METHODS: In this work, we developed an integrative analysis framework to seek for the sensitive spatiotemporal point during brain development underlying each disorder. Specifically, we first identified spatiotemporal gene co-expression modules for four brain regions three developmental stages (prenatal, birth to 11 years old, and older than 13 years), totaling 12 spatiotemporal sites. By integrating GWAS summary statistics and the spatiotemporal co-expression modules, we characterized the risk genes and their co-expression partners for five disorders. RESULTS: We found that SCZ and BIP, ASD and ADHD tend to cluster with each other and keep a distance from other psychiatric disorders. At the gene level, we identified several genes that were shared among the most significant modules, such as CTNNB1 and LNX1, and a hub gene, ATF2, in multiple modules. Moreover, we pinpointed two spatiotemporal points in the prenatal stage with active expression activities and highlighted one postnatal point for BIP. Further functional analysis of the disorder-related module highlighted the apoptotic signaling pathway for ASD and the immune-related and cell-cell adhesion function for SCZ, respectively. CONCLUSION: Our study demonstrated the dynamic changes of disorder-related genes at the network level, shedding light on the spatiotemporal regulation during brain development. |
format | Online Article Text |
id | pubmed-7771094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77710942020-12-30 Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders Dai, Yulin O’Brien, Timothy D. Pei, Guangsheng Zhao, Zhongming Jia, Peilin BMC Med Genomics Research BACKGROUND: Psychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BIP), major depressive disorder (MDD), attention deficit-hyperactivity disorder (ADHD), and autism spectrum disorder (ASD) are often related to brain development. Both shared and unique biological and neurodevelopmental processes have been reported to be involved in these disorders. METHODS: In this work, we developed an integrative analysis framework to seek for the sensitive spatiotemporal point during brain development underlying each disorder. Specifically, we first identified spatiotemporal gene co-expression modules for four brain regions three developmental stages (prenatal, birth to 11 years old, and older than 13 years), totaling 12 spatiotemporal sites. By integrating GWAS summary statistics and the spatiotemporal co-expression modules, we characterized the risk genes and their co-expression partners for five disorders. RESULTS: We found that SCZ and BIP, ASD and ADHD tend to cluster with each other and keep a distance from other psychiatric disorders. At the gene level, we identified several genes that were shared among the most significant modules, such as CTNNB1 and LNX1, and a hub gene, ATF2, in multiple modules. Moreover, we pinpointed two spatiotemporal points in the prenatal stage with active expression activities and highlighted one postnatal point for BIP. Further functional analysis of the disorder-related module highlighted the apoptotic signaling pathway for ASD and the immune-related and cell-cell adhesion function for SCZ, respectively. CONCLUSION: Our study demonstrated the dynamic changes of disorder-related genes at the network level, shedding light on the spatiotemporal regulation during brain development. BioMed Central 2020-12-28 /pmc/articles/PMC7771094/ /pubmed/33371872 http://dx.doi.org/10.1186/s12920-020-00832-8 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Dai, Yulin O’Brien, Timothy D. Pei, Guangsheng Zhao, Zhongming Jia, Peilin Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders |
title | Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders |
title_full | Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders |
title_fullStr | Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders |
title_full_unstemmed | Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders |
title_short | Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders |
title_sort | characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771094/ https://www.ncbi.nlm.nih.gov/pubmed/33371872 http://dx.doi.org/10.1186/s12920-020-00832-8 |
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