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Chunk #62 — Methods — Developmental and Cellular Expression Profiles

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A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles.
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We also used single cell transcriptomic data from the adult brain60,62 and fetal brains61 to identify cell-type specific expression profiles of brain disorder-associated genes. To measure astrocytic expression profiles across developmental stages, we used transcriptomic data from purified human astrocytes63. H-MAGMA results derived from fetal and adult brain Hi-C were used to assess cell-type specific expression values in the fetal and adult brain, respectively. Furthermore, neuronal H-MAGMA was used to assess cell-type and neuronal subtype enrichment of psychiatric disorder risk genes, whereas astrocytic H-MAGMA was used to assess cellular expression profiles and age-associated expression changes in astrocytes for degenerative disorders. We processed log-transformed expression values per cell or sample using a scale(center=T, scale=F) function in R. Average centered expression values of genes associated with brain disorders were calculated for each cell type.