Gene expression imputation across multiple brain regions provides insights into schizophrenia risk



Huckins, Laura M, Dobbyn, Amanda, Ruderfer, Douglas M, Hoffman, Gabriel, Wang, Weiqing, Pardinas, Antonio F, Rajagopal, Veera M, Als, Thomas D, Nguyen, Hoang T, Girdhar, Kiran
et al (show 346 more authors) (2019) Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. NATURE GENETICS, 51 (4). 659-+.

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Abstract

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

Item Type: Article
Uncontrolled Keywords: CommonMind Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, iPSYCH-GEMS Schizophrenia Working Group, Brain, Humans, Genetic Predisposition to Disease, Risk, Case-Control Studies, Schizophrenia, Gene Expression, Genotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study, Transcriptome
Depositing User: Symplectic Admin
Date Deposited: 26 Apr 2019 08:53
Last Modified: 19 Jan 2023 00:53
DOI: 10.1038/s41588-019-0364-4
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3038467