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Cross-ancestry, cell-type-informed atlas of gene, isoform, and splicing regulation in the developing human brain.
- Source :
-
MedRxiv : the preprint server for health sciences [medRxiv] 2023 Mar 06. Date of Electronic Publication: 2023 Mar 06. - Publication Year :
- 2023
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Abstract
- Genomic regulatory elements active in the developing human brain are notably enriched in genetic risk for neuropsychiatric disorders, including autism spectrum disorder (ASD), schizophrenia, and bipolar disorder. However, prioritizing the specific risk genes and candidate molecular mechanisms underlying these genetic enrichments has been hindered by the lack of a single unified large-scale gene regulatory atlas of human brain development. Here, we uniformly process and systematically characterize gene, isoform, and splicing quantitative trait loci (xQTLs) in 672 fetal brain samples from unique subjects across multiple ancestral populations. We identify 15,752 genes harboring a significant xQTL and map 3,739 eQTLs to a specific cellular context. We observe a striking drop in gene expression and splicing heritability as the human brain develops. Isoform-level regulation, particularly in the second trimester, mediates the greatest proportion of heritability across multiple psychiatric GWAS, compared with eQTLs. Via colocalization and TWAS, we prioritize biological mechanisms for ~60% of GWAS loci across five neuropsychiatric disorders, nearly two-fold that observed in the adult brain. Finally, we build a comprehensive set of developmentally regulated gene and isoform co-expression networks capturing unique genetic enrichments across disorders. Together, this work provides a comprehensive view of genetic regulation across human brain development as well as the stage-and cell type-informed mechanistic underpinnings of neuropsychiatric disorders.<br />Competing Interests: M.J.G. and D.H.G. receive grant funding from Mitsubishi Tanabe Pharma America.
Details
- Language :
- English
- Database :
- MEDLINE
- Journal :
- MedRxiv : the preprint server for health sciences
- Accession number :
- 36945630
- Full Text :
- https://doi.org/10.1101/2023.03.03.23286706