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dc.contributor.author | Rietschel, M | |
dc.contributor.author | Riley, BP | |
dc.contributor.author | Rujescu, D | |
dc.contributor.author | Sham, PC | |
dc.contributor.author | St Clair, D | |
dc.contributor.author | Weinberger, DR | |
dc.contributor.author | Wendland, JR | |
dc.contributor.author | Werge, T | |
dc.contributor.author | Daly, MJ | |
dc.contributor.author | Sullivan, PF | |
dc.contributor.author | Consortium, C | |
dc.contributor.author | Consortium, PG | |
dc.contributor.author | Working, I-GS | |
dc.date.accessioned | 2019-07-25T18:41:00Z | |
dc.date.available | 2019-01-30 | |
dc.date.available | 2019-07-25T18:41:00Z | |
dc.date.issued | 2019-03-25 | |
dc.identifier.issn | 1061-4036 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/58641 | |
dc.description.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. | en_US |
dc.format.extent | 659 - 674 | |
dc.publisher | Springer Nature | en_US |
dc.relation.ispartof | NATURE GENETICS | |
dc.title | Gene expression imputation across multiple brain regions provides insights into schizophrenia risk | en_US |
dc.type | Article | en_US |
dc.rights.holder | Copyright © 2019, Springer Nature | |
dc.identifier.doi | 10.1038/s41588-019-0364-4 | |
pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000462767500013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.issue | 4 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.publisher-url | https://doi.org/10.1038/s41588-019-0364-4 | |
pubs.volume | 51 | en_US |
dcterms.dateAccepted | 2019-01-30 | |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |