Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

CommonMind Consortium, The Schizophrenia Working Group of the PsyUniversity of Copenhagenchiatric Genomics Consortium, iPSYCH-GEMS Schizophrenia Working Group

研究成果: Article査読

62 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)659-674
ページ数16
ジャーナルNature Genetics
51
4
DOI
出版ステータスPublished - 01-04-2019

All Science Journal Classification (ASJC) codes

  • 遺伝学

フィンガープリント

「Gene expression imputation across multiple brain regions provides insights into schizophrenia risk」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル