bioRxivGeneticsPreprint
Brain transcriptional regulatory architecture and schizophrenia etiology converge between East Asian and European ancestral populations
Sihan LiuiD, Yu CheniD, Feiran WangiD, Yi Wei JiangiD, Fangyuan Duan, Yan XiaiD, Zhilin Ning, Miao LiiD, Wenying QiuiD, Chao MaiD, Xiao‐Xin YaniD, Ai‐Min BaoiD, Jiapei DaiiD, Richard F. KoppiD, Liz KuneyiD, Jufang HuangiD, Shuhua XuiD, Beisha TangiD, Chunyu LiuiD, Chao CheniD
Abstract
Understanding the genetic architecture of gene expression and splicing in human brain is critical to unlocking the mechanisms of complex neuropsychiatric disorders like schizophrenia (SCZ). Large-scale brain transcriptomic studies are based primarily on populations of European (EUR) ancestry. The uniformity of mono-racial resources may limit important insights into the disease etiology. Here, we characterized brain transcriptional regulatory architecture of East Asians (EAS; n=151), identifying 3,278 expression quantitative trait loci (eQTL) and 4,726 spliceQTL (sQTL). Comparing these to PsychENCODE/BrainGVEX confirmed our hypothesis that the transcriptional regulatory architecture in EAS and EUR brains align. Furthermore, distinctive allelic frequency and linkage disequilibrium impede QTL translation and gene-expression prediction accuracy. Integration of eQTL/sQTL with genome-wide association studies reveals common and novel SCZ risk genes. Pathway-based analyses showing shared SCZ biology point to synaptic and GTPase dysfunction as a prospective pathogenesis. This study elucidates the transcriptional landscape of the EAS brain and emphasizes an essential convergence between EAS and EUR populations.
- organism: human
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 2
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