全基因组关联研究
生物
转录组
染色质
遗传学
遗传关联
基因座(遗传学)
表型
基因组学
基因
计算生物学
单核苷酸多态性
基因组
基因表达
基因型
作者
Alexander Gusev,Nicholas Mancuso,Hyejung Won,Maria Kousi,Hilary K. Finucane,Yakir Reshef,Lingyun Song,Alexias Safi,Steven A. McCarroll,Benjamin M. Neale,Roel A. Ophoff,Michael O’Donovan,Gregory E. Crawford,Daniel H. Geschwind,Nicholas Katsanis,Patrick F. Sullivan,Bogdan Paşaniuc,Alkes L. Price
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2018-04-01
卷期号:50 (4): 538-548
被引量:451
标识
DOI:10.1038/s41588-018-0092-1
摘要
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.
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