Gusev, Alexander, Mancuso, Nicholas, Won, Hyejung, Kousi, Maria, Finucane, Hilary K., Reshef, Yakir, Song, Lingyun, Safi, Alexias, McCarroll, Steven, Neale, Benjamin M., Ophoff, Roel A., O'Donovan, Michael C. ORCID: https://orcid.org/0000-0001-7073-2379, Crawford, Gregory E., Geschwind, Daniel H., Katsanis, Nicholas, Sullivan, Patrick F., Pasaniuc, Bogdan and Price, Alkes L. 2018. Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nature Genetics 50 , pp. 538-548. 10.1038/s41588-018-0092-1 |
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Abstract
Genome-wide association studies (GWAS) have identified over 100 risk loci for schizophrenia, but the causal mechanisms remain largely unknown. We performed a transcriptome-wide association study (TWAS) integrating a schizophrenia GWAS of 79,845 individuals from the Psychiatric Genomics Consortium with expression data from brain, blood, and adipose tissues across 3,693 primarily control individuals. We identified 157 TWAS-significant genes, of which 35 did not overlap a known GWAS locus. Of these 157 genes, 42 were associated with specific chromatin features measured in independent samples, thus highlighting potential regulatory targets for follow-up. Suppression of one identified susceptibility gene, mapk3, in zebrafish showed a significant effect on neurodevelopmental phenotypes. Expression and splicing from the brain captured most of the TWAS effect across all genes. This large-scale connection of associations to target genes, tissues, and regulatory features is an essential step in moving toward a mechanistic understanding of GWAS.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Neuroscience and Mental Health Research Institute (NMHRI) Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) |
Publisher: | Nature |
ISSN: | 1061-4036 |
Date of First Compliant Deposit: | 19 April 2018 |
Date of Acceptance: | 9 February 2018 |
Last Modified: | 04 May 2023 03:08 |
URI: | https://orca.cardiff.ac.uk/id/eprint/110793 |
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