| Literature DB >> 30545856 |
Michael J Gandal, Pan Zhang, Evi Hadjimichael, Rebecca L Walker, Chao Chen, Shuang Liu, Hyejung Won, Harm van Bakel, Merina Varghese, Yongjun Wang, Annie W Shieh, Jillian Haney, Sepideh Parhami, Judson Belmont, Minsoo Kim, Patricia Moran Losada, Zenab Khan, Justyna Mleczko, Yan Xia, Rujia Dai, Daifeng Wang, Yucheng T Yang, Min Xu, Kenneth Fish, Patrick R Hof, Jonathan Warrell, Dominic Fitzgerald, Kevin White, Andrew E Jaffe, Mette A Peters, Mark Gerstein, Chunyu Liu, Lilia M Iakoucheva, Dalila Pinto, Daniel H Geschwind.
Abstract
Most genetic risk for psychiatric disease lies in regulatory regions, implicating pathogenic dysregulation of gene expression and splicing. However, comprehensive assessments of transcriptomic organization in diseased brains are limited. In this work, we integrated genotypes and RNA sequencing in brain samples from 1695 individuals with autism spectrum disorder (ASD), schizophrenia, and bipolar disorder, as well as controls. More than 25% of the transcriptome exhibits differential splicing or expression, with isoform-level changes capturing the largest disease effects and genetic enrichments. Coexpression networks isolate disease-specific neuronal alterations, as well as microglial, astrocyte, and interferon-response modules defining previously unidentified neural-immune mechanisms. We integrated genetic and genomic data to perform a transcriptome-wide association study, prioritizing disease loci likely mediated by cis effects on brain expression. This transcriptome-wide characterization of the molecular pathology across three major psychiatric disorders provides a comprehensive resource for mechanistic insight and therapeutic development.Entities:
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Year: 2018 PMID: 30545856 PMCID: PMC6443102 DOI: 10.1126/science.aat8127
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728