Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders

Abstract 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 neurodevel...

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Main Authors: Yulin Dai, Timothy D. O’Brien, Guangsheng Pei, Zhongming Zhao, Peilin Jia
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Medical Genomics
Subjects:
Online Access:https://doi.org/10.1186/s12920-020-00832-8
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spelling doaj-35a1a46e443a4205af57500c05f2c7282021-04-02T18:58:38ZengBMCBMC Medical Genomics1755-87942020-12-0113S1111410.1186/s12920-020-00832-8Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disordersYulin Dai0Timothy D. O’Brien1Guangsheng Pei2Zhongming Zhao3Peilin Jia4Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonAbstract 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.https://doi.org/10.1186/s12920-020-00832-8Mental disorderGenome-Wide Association StudyProtein-protein interactionPrenatalCTNNB1LNX1
collection DOAJ
language English
format Article
sources DOAJ
author Yulin Dai
Timothy D. O’Brien
Guangsheng Pei
Zhongming Zhao
Peilin Jia
spellingShingle Yulin Dai
Timothy D. O’Brien
Guangsheng Pei
Zhongming Zhao
Peilin Jia
Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders
BMC Medical Genomics
Mental disorder
Genome-Wide Association Study
Protein-protein interaction
Prenatal
CTNNB1
LNX1
author_facet Yulin Dai
Timothy D. O’Brien
Guangsheng Pei
Zhongming Zhao
Peilin Jia
author_sort Yulin Dai
title 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_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_sort characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders
publisher BMC
series BMC Medical Genomics
issn 1755-8794
publishDate 2020-12-01
description Abstract 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.
topic Mental disorder
Genome-Wide Association Study
Protein-protein interaction
Prenatal
CTNNB1
LNX1
url https://doi.org/10.1186/s12920-020-00832-8
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AT timothydobrien characterizationofgenomewideassociationstudydatarevealsspatiotemporalheterogeneityofmentaldisorders
AT guangshengpei characterizationofgenomewideassociationstudydatarevealsspatiotemporalheterogeneityofmentaldisorders
AT zhongmingzhao characterizationofgenomewideassociationstudydatarevealsspatiotemporalheterogeneityofmentaldisorders
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