English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

MPS-Authors
/persons/resource/persons182138

Ehrenreich,  Hannelore
Research Group of Clinical Neuroscience, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

1-s2.0-S2589004223007782-main.pdf
(Publisher version), 6MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Hsu, Y.-H., Pintacuda, G., Liu, R., Nacu, E., Kim, A., Tsafou, K., et al. (2023). Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia. iScience, 26(5): 106701. doi:10.1016/j.isci.2023.106701.


Cite as: https://hdl.handle.net/21.11116/0000-000D-7A3C-8
Abstract
Genetics have nominated many schizophrenia risk genes and identified convergent signals between schizophrenia and neurodevelopmental disorders. However, functional interpretation of the nominated genes in the relevant brain cell types is often lacking. We executed interaction proteomics for six schizophrenia risk genes that have also been implicated in neurodevelopment in human induced cortical neurons. The resulting protein network is enriched for common variant risk of schizophrenia in Europeans and East Asians, is down-regulated in layer 5/6 cortical neurons of individuals affected by schizophrenia, and can complement fine-mapping and eQTL data to prioritize additional genes in GWAS loci. A sub-network centered on HCN1 is enriched for common variant risk and contains proteins (HCN4 and AKAP11) enriched for rare protein-truncating mutations in individuals with schizophrenia and bipolar disorder. Our findings showcase brain cell-type-specific interactomes as an organizing framework to facilitate interpretation of genetic and transcriptomic data in schizophrenia and its related disorders.