4.8 Article

Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder

期刊

SCIENCE
卷 362, 期 6420, 页码 1265-+

出版社

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.aat8127

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资金

  1. U.S. National Institute of Mental Health (NIMH) [P50-MH106438, R01-MH094714, U01-MH103339, R01-MH110927, R01-MH100027, R01-MH110920, U01-MH103340, MH109885, MH104766, MH105524, MH108528, R21-MH105881, R01-MH110555, R01-MH109715]
  2. Simons Foundation for Autism Research Initiative (SFARI grant) [206733, 345469]
  3. Simons Foundation for Autism Research Initiative (SFARI Bridge to Independence Award)
  4. Simons Foundation for Autism Research Initiative (Simons Foundation) [FA 345922]
  5. National Natural Science Foundation of China [81401114, 31571312]
  6. National Key Plan for Scientific Research and Development of China [2016YFC1306000]
  7. Innovation-Driven Project of Central South University [2015CXS034, 2018CX033]
  8. NIH [R01MH085542, R01MH093725, P50MH066392, P50MH080405, R01MH097276, R01MH075916, P50M096891, P50MH084053S1, R37MH057881, R37MH057881S1, HHSN271201300031C, AG02219, AG05138, MH06692]
  9. Takeda Pharmaceuticals Company
  10. F. Hoffmann-La Roche
  11. Icahn School of Medicine at Mount Sinai computational resources by the Office of Research Infrastructure of the NIH [S10OD018522]
  12. [U01MH103339]
  13. [U01MH103365]
  14. [U01MH103392]
  15. [U01MH103340]
  16. [U01MH103346]
  17. [R01MH105472]
  18. [R01MH094714]
  19. [R01MH105898]
  20. [R21MH102791]
  21. [R21MH105881]
  22. [R21MH103877]
  23. [P50MH106934]

向作者/读者索取更多资源

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.

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