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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...

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Autores principales: Dai, Yulin, O’Brien, Timothy D., Pei, Guangsheng, Zhao, Zhongming, Jia, Peilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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.
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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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