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Network modules linking expression and methylation in prefrontal cortex of schizophrenia

Tremendous work has demonstrated the critical roles of genetics, epigenetics as well as their interplay in brain transcriptional regulations in the pathology of schizophrenia (SZ). There is great success currently in the dissection of the genetic components underlying risk-conferring transcriptomic...

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Autores principales: Lin, Dongdong, Chen, Jiayu, Duan, Kuaikuai, Perrone-Bizzozero, Nora, Sui, Jing, Calhoun, Vince, Liu, Jingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331039/
https://www.ncbi.nlm.nih.gov/pubmed/33079616
http://dx.doi.org/10.1080/15592294.2020.1827718
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author Lin, Dongdong
Chen, Jiayu
Duan, Kuaikuai
Perrone-Bizzozero, Nora
Sui, Jing
Calhoun, Vince
Liu, Jingyu
author_facet Lin, Dongdong
Chen, Jiayu
Duan, Kuaikuai
Perrone-Bizzozero, Nora
Sui, Jing
Calhoun, Vince
Liu, Jingyu
author_sort Lin, Dongdong
collection PubMed
description Tremendous work has demonstrated the critical roles of genetics, epigenetics as well as their interplay in brain transcriptional regulations in the pathology of schizophrenia (SZ). There is great success currently in the dissection of the genetic components underlying risk-conferring transcriptomic networks. However, the study of regulating effect of epigenetics in the etiopathogenesis of SZ still faces many challenges. In this work, we investigated DNA methylation and gene expression from the dorsolateral prefrontal cortex (DLPFC) region of schizophrenia patients and healthy controls using weighted correlation network approach. We identified and replicated two expression and two methylation modules significantly associated with SZ. Among them, one pair of expression and methylation modules were significantly overlapped in the module genes which were significantly enriched in astrocyte-associated functional pathways, and specifically expressed in astrocytes. Another two linked expression-methylation module pairs were involved ageing process with module genes mostly related to oligodendrocyte development and myelination, and specifically expressed in oligodendrocytes. Further examination of underlying quantitative trait loci (QTLs) showed significant enrichment in genetic risk of most psychiatric disorders for expression QTLs but not for methylation QTLs. These results support the coherence between methylation and gene expression at the network level, and suggest a combinatorial effect of genetics and epigenetics in regulating gene expression networks specific to glia cells in relation to SZ and ageing process.
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spelling pubmed-83310392021-08-09 Network modules linking expression and methylation in prefrontal cortex of schizophrenia Lin, Dongdong Chen, Jiayu Duan, Kuaikuai Perrone-Bizzozero, Nora Sui, Jing Calhoun, Vince Liu, Jingyu Epigenetics Research Paper Tremendous work has demonstrated the critical roles of genetics, epigenetics as well as their interplay in brain transcriptional regulations in the pathology of schizophrenia (SZ). There is great success currently in the dissection of the genetic components underlying risk-conferring transcriptomic networks. However, the study of regulating effect of epigenetics in the etiopathogenesis of SZ still faces many challenges. In this work, we investigated DNA methylation and gene expression from the dorsolateral prefrontal cortex (DLPFC) region of schizophrenia patients and healthy controls using weighted correlation network approach. We identified and replicated two expression and two methylation modules significantly associated with SZ. Among them, one pair of expression and methylation modules were significantly overlapped in the module genes which were significantly enriched in astrocyte-associated functional pathways, and specifically expressed in astrocytes. Another two linked expression-methylation module pairs were involved ageing process with module genes mostly related to oligodendrocyte development and myelination, and specifically expressed in oligodendrocytes. Further examination of underlying quantitative trait loci (QTLs) showed significant enrichment in genetic risk of most psychiatric disorders for expression QTLs but not for methylation QTLs. These results support the coherence between methylation and gene expression at the network level, and suggest a combinatorial effect of genetics and epigenetics in regulating gene expression networks specific to glia cells in relation to SZ and ageing process. Taylor & Francis 2020-10-20 /pmc/articles/PMC8331039/ /pubmed/33079616 http://dx.doi.org/10.1080/15592294.2020.1827718 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Research Paper
Lin, Dongdong
Chen, Jiayu
Duan, Kuaikuai
Perrone-Bizzozero, Nora
Sui, Jing
Calhoun, Vince
Liu, Jingyu
Network modules linking expression and methylation in prefrontal cortex of schizophrenia
title Network modules linking expression and methylation in prefrontal cortex of schizophrenia
title_full Network modules linking expression and methylation in prefrontal cortex of schizophrenia
title_fullStr Network modules linking expression and methylation in prefrontal cortex of schizophrenia
title_full_unstemmed Network modules linking expression and methylation in prefrontal cortex of schizophrenia
title_short Network modules linking expression and methylation in prefrontal cortex of schizophrenia
title_sort network modules linking expression and methylation in prefrontal cortex of schizophrenia
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331039/
https://www.ncbi.nlm.nih.gov/pubmed/33079616
http://dx.doi.org/10.1080/15592294.2020.1827718
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