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Gene expression imputation across multiple brain regions provides insights into schizophrenia risk
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2019 (English)In: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 51, no 4, p. 659-+Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Nature Publishing Group, 2019. Vol. 51, no 4, p. 659-+
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Medical Genetics Genetics
Identifiers
URN: urn:nbn:se:umu:diva-158080DOI: 10.1038/s41588-019-0364-4ISI: 000462767500013PubMedID: 30911161OAI: oai:DiVA.org:umu-158080DiVA, id: diva2:1304935
Funder
NIH (National Institute of Health), R01MH085542NIH (National Institute of Health), R01MH093725NIH (National Institute of Health), P50MH066392NIH (National Institute of Health), P50MH080405NIH (National Institute of Health), R01MH097276NIH (National Institute of Health), RO1-MH-075916NIH (National Institute of Health), P50M096891NIH (National Institute of Health), P50MH084053S1NIH (National Institute of Health), R37MH057881NIH (National Institute of Health), R37MH057881S1NIH (National Institute of Health), HHSN271201300031CNIH (National Institute of Health), AG02219NIH (National Institute of Health), AG05138NIH (National Institute of Health), MH06692Novo NordiskAvailable from: 2019-04-15 Created: 2019-04-15 Last updated: 2019-04-15Bibliographically approved

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Nordin Adolfsson, AnnelieAdolfsson, Rolf

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Als, Thomas D.Nordin Adolfsson, AnnelieAdolfsson, Rolf
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