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(2019) Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. NATURE GENETICS, 51 (4). 659-+. ISSN 1061-4036, 1546-1718
Full text not available from this repository. (Request a copy)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: | ACUTE INTERMITTENT PORPHYRIA; COGNITIVE DEFICITS; ASSOCIATION; MOUSE; TRANSCRIPTOME; CHILDHOOD; TRAITS; PSYCHOSIS; DISORDER; VARIANTS; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 15 Apr 2020 06:05 |
| Last Modified: | 15 Apr 2020 06:05 |
| URI: | https://pred.uni-regensburg.de/id/eprint/27289 |
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