Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions

Author:

Pergola Giulio123ORCID,Parihar Madhur1ORCID,Sportelli Leonardo12ORCID,Bharadwaj Rahul1,Borcuk Christopher2,Radulescu Eugenia1,Bellantuono Loredana24ORCID,Blasi Giuseppe25ORCID,Chen Qiang1ORCID,Kleinman Joel E.13ORCID,Wang Yanhong1,Sripathy Srinidhi Rao1ORCID,Maher Brady J.136ORCID,Monaco Alfonso47ORCID,Rossi Fabiana12,Shin Joo Heon1ORCID,Hyde Thomas M.138ORCID,Bertolino Alessandro25ORCID,Weinberger Daniel R.169ORCID

Affiliation:

1. Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.

2. Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy.

3. Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

4. Istituto Nazionale di Fisica Nucleare, Bari, Italy.

5. Azienda Ospedaliero Universitaria Consorziale Policlinico, Bari, Italy.

6. Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

7. Dipartimento Interateneo di Fisica, Università degli Studi di Bari Aldo Moro, Bari, Italy.

8. Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

9. Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Abstract

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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