Ultra-rare and common genetic variant analysis converge to implicate negative selection and neuronal processes in the aetiology of schizophrenia

W.A. Akingbuwa, A.R. Hammerschlag, M. Bartels, M.G. Nivard, C.M. Middeldorp

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

© 2022, The Author(s).Both common and rare genetic variants (minor allele frequency >1% and <0.1% respectively) have been implicated in the aetiology of schizophrenia. In this study, we integrate single-cell gene expression data with publicly available Genome-Wide Association Study (GWAS) and exome sequenced data in order to investigate in parallel, the enrichment of common and (ultra-)rare variants related to schizophrenia in several functionally relevant gene-sets. Four types of gene-sets were constructed 1) protein-truncating variant (PTV)-intolerant (PI) genes 2) genes expressed in brain cell types and neurons ascertained from mouse and human brain tissue 3) genes defined by synaptic function and location and 4) intersection genes, i.e., PI genes that are expressed in the human and mouse brain cell gene-sets. We show that common as well as ultra-rare schizophrenia-associated variants are overrepresented in PI genes, in excitatory neurons from the prefrontal cortex and hippocampus, medium spiny neurons, and genes enriched for synaptic processes. We also observed stronger enrichment in the intersection genes. Our findings suggest that across the allele frequency spectrum, genes and genetic variants likely to be under stringent selection, and those expressed in particular brain cell types, are involved in the same biological pathways influencing the risk for schizophrenia.
Original languageEnglish
Pages (from-to)3699-3707
Number of pages9
JournalMolecular Psychiatry
Volume27
Issue number9
DOIs
Publication statusPublished - 1 Sept 2022

Funding

This project has received funding from the European Union’s Horizon 2020 research and innovation programme, Marie Sklodowska Curie Actions – MSCA-ITN-2016 – Innovative Training Networks under grant agreement No [721567]. WAA is supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 721567, and the National Institute Of Mental Health of the National Institutes of Health under Award Number R01MH120219. ARH is supported by the Children’s Hospital Foundation and University of Queensland strategic funding. MB is funded by an ERC Consolidator Grant (WELL-BEING 771057). MGN is supported by the National Institute Of Mental Health of the National Institutes of Health under Award Number R01MH120219, supported by ZonMw grant: ‘Genetics as a research tool: a natural experiment to elucidate the causal effects of social mobility on health’ (pnr: 531003014) and ZonMw project: ‘Can sex- and gender-specific gene expression and epigenetics explain sex-differences in disease prevalence and etiology?’ (pnr: 849200011) from The Netherlands Organisation for Health Research and Development, a VENI grant awarded by The Dutch Research Council (NWO) (VI.Veni.191G.030), and is a Jacobs Foundation Fellow.

FundersFunder number
MSCA-ITN-2016
National Institutes of Health
National Institute of Mental HealthR01MH120219
Horizon 2020 Framework Programme721567
Children's Hospital Foundation
HORIZON EUROPE Marie Sklodowska-Curie Actions
European Research CouncilWELL-BEING 771057
University of Queensland
ZonMw531003014, 849200011
Nederlandse Organisatie voor Wetenschappelijk OnderzoekVI.Veni.191G.030
Jacobs Foundation

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