Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder.
Michael J GandalPan ZhangEvi HadjimichaelRebecca L WalkerChao ChenShuang LiuHyejung WonHarm van BakelMerina VargheseYong-Jun WangAnnie W ShiehJillian HaneySepideh ParhamiJudson BelmontMinsoo KimPatricia Moran LosadaZenab KhanJustyna MleczkoYan XiaRujia DaiDaifeng WangYucheng T YangMin XuKenneth FishPatrick R HofJonathan WarrellDominic FitzgeraldKevin P WhiteAndrew E Jaffenull nullMette A PetersMark B GersteinYanling LiuLilia M IakouchevaDalila PintoDaniel H GeschwindPublished in: Science (New York, N.Y.) (2019)
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.
Keyphrases
- bipolar disorder
- genome wide
- gene expression
- single cell
- rna seq
- major depressive disorder
- dna methylation
- copy number
- autism spectrum disorder
- poor prognosis
- dendritic cells
- immune response
- resting state
- transcription factor
- intellectual disability
- white matter
- spinal cord injury
- electronic health record
- big data
- blood brain barrier
- long non coding rna
- working memory
- data analysis