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Chunk #58 — Methods — Gene selection

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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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For assessing (1) developmental expression profiles, (2) cell-type specific expression profiles, and (3) gene ontology enrichment of disorder-associated genes, we used following strategies to select genes. We restricted our analysis only on protein-coding genes, because (1) the majority of genes detected in the spatiotemporal transcriptomic atlas12, single cell expression datasets60–62, and gene ontologies were protein-coding genes, and (2) non-coding genes have much lower expression values compared with protein-coding genes, which can dilute the signals. We also excluded genes within the MHC region due to the complexity of LD, which can override the overall pattern. Finally, we removed genes within chromosome X (chrX), as only a subset of GWAS had association statistics available in chrX.