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Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions
Schizophrenia is a neurodevelopmental brain disorder whose genetic risk is associated with shifting clinical phenomena across the life span. We investigated the convergence of putative schizophrenia risk genes in brain coexpression networks in postmortem human prefrontal cortex (DLPFC), hippocampus,...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104472/ https://www.ncbi.nlm.nih.gov/pubmed/37058565 http://dx.doi.org/10.1126/sciadv.ade2812 |
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author | Pergola, Giulio Parihar, Madhur Sportelli, Leonardo Bharadwaj, Rahul Borcuk, Christopher Radulescu, Eugenia Bellantuono, Loredana Blasi, Giuseppe Chen, Qiang Kleinman, Joel E. Wang, Yanhong Sripathy, Srinidhi Rao Maher, Brady J. Monaco, Alfonso Rossi, Fabiana Shin, Joo Heon Hyde, Thomas M. Bertolino, Alessandro Weinberger, Daniel R. |
author_facet | Pergola, Giulio Parihar, Madhur Sportelli, Leonardo Bharadwaj, Rahul Borcuk, Christopher Radulescu, Eugenia Bellantuono, Loredana Blasi, Giuseppe Chen, Qiang Kleinman, Joel E. Wang, Yanhong Sripathy, Srinidhi Rao Maher, Brady J. Monaco, Alfonso Rossi, Fabiana Shin, Joo Heon Hyde, Thomas M. Bertolino, Alessandro Weinberger, Daniel R. |
author_sort | Pergola, Giulio |
collection | PubMed |
description | Schizophrenia is a neurodevelopmental brain disorder whose genetic risk is associated with shifting clinical phenomena across the life span. We investigated the convergence of putative schizophrenia risk genes in brain coexpression networks in postmortem human prefrontal cortex (DLPFC), hippocampus, caudate nucleus, and dentate gyrus granule cells, parsed by specific age periods (total N = 833). The results support an early prefrontal involvement in the biology underlying schizophrenia and reveal a dynamic interplay of regions in which age parsing explains more variance in schizophrenia risk compared to lumping all age periods together. Across multiple data sources and publications, we identify 28 genes that are the most consistently found partners in modules enriched for schizophrenia risk genes in DLPFC; twenty-three are previously unidentified associations with schizophrenia. In iPSC-derived neurons, the relationship of these genes with schizophrenia risk genes is maintained. The genetic architecture of schizophrenia is embedded in shifting coexpression patterns across brain regions and time, potentially underwriting its shifting clinical presentation. |
format | Online Article Text |
id | pubmed-10104472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-101044722023-04-15 Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions Pergola, Giulio Parihar, Madhur Sportelli, Leonardo Bharadwaj, Rahul Borcuk, Christopher Radulescu, Eugenia Bellantuono, Loredana Blasi, Giuseppe Chen, Qiang Kleinman, Joel E. Wang, Yanhong Sripathy, Srinidhi Rao Maher, Brady J. Monaco, Alfonso Rossi, Fabiana Shin, Joo Heon Hyde, Thomas M. Bertolino, Alessandro Weinberger, Daniel R. Sci Adv Neuroscience Schizophrenia is a neurodevelopmental brain disorder whose genetic risk is associated with shifting clinical phenomena across the life span. We investigated the convergence of putative schizophrenia risk genes in brain coexpression networks in postmortem human prefrontal cortex (DLPFC), hippocampus, caudate nucleus, and dentate gyrus granule cells, parsed by specific age periods (total N = 833). The results support an early prefrontal involvement in the biology underlying schizophrenia and reveal a dynamic interplay of regions in which age parsing explains more variance in schizophrenia risk compared to lumping all age periods together. Across multiple data sources and publications, we identify 28 genes that are the most consistently found partners in modules enriched for schizophrenia risk genes in DLPFC; twenty-three are previously unidentified associations with schizophrenia. In iPSC-derived neurons, the relationship of these genes with schizophrenia risk genes is maintained. The genetic architecture of schizophrenia is embedded in shifting coexpression patterns across brain regions and time, potentially underwriting its shifting clinical presentation. American Association for the Advancement of Science 2023-04-14 /pmc/articles/PMC10104472/ /pubmed/37058565 http://dx.doi.org/10.1126/sciadv.ade2812 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Neuroscience Pergola, Giulio Parihar, Madhur Sportelli, Leonardo Bharadwaj, Rahul Borcuk, Christopher Radulescu, Eugenia Bellantuono, Loredana Blasi, Giuseppe Chen, Qiang Kleinman, Joel E. Wang, Yanhong Sripathy, Srinidhi Rao Maher, Brady J. Monaco, Alfonso Rossi, Fabiana Shin, Joo Heon Hyde, Thomas M. Bertolino, Alessandro Weinberger, Daniel R. Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions |
title | Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions |
title_full | Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions |
title_fullStr | Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions |
title_full_unstemmed | Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions |
title_short | Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions |
title_sort | consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104472/ https://www.ncbi.nlm.nih.gov/pubmed/37058565 http://dx.doi.org/10.1126/sciadv.ade2812 |
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