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Chunk #27 — Result — Functional impact of genetic risk factors in transcriptomic signatures

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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 compared gene association statistics with cell-type specific molecular signatures in AD pathology24. We found that AD-associated genes were significantly enriched for DEGs in microglia and oligodendrocytes, but not in neurons (Fig. 4a). While we cannot completely rule out the first and second hypotheses, this result suggests that the cellular context in which risk variants influence gene expression needs to be carefully considered in understanding the molecular complexity of brain disorders.