Prenatal expression patterns of genes associated with neuropsychiatric disorders.
Prenatal expression patterns of genes associated with neuropsychiatric disorders.
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DOI:
10.1176/appi.ajp.2014.13111452
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发表时间:
2014-07
期刊:
影响因子:
--
通讯作者:
Weinberger DR
中科院分区:
文献类型:
--
作者:
Birnbaum R;Jaffe AE;Hyde TM;Kleinman JE;Weinberger DR
Neurodevelopmental disorders presumably involve events that occur during brain development. We hypothesized that neuropsychiatric disorders considered to be developmental in etiology are associated with susceptibility genes that are relatively upregulated during fetal life (i.e. differentially expressed). We investigated the presence of prenatal expression enrichment of susceptibility genes systematically, as composite gene sets associated with 6 neuropsychiatric disorders in the microarray-based “BrainCloud” dorsolateral prefrontal cortex (DLPFC) transcriptome. Using a fetal/post-natal log2 fold change threshold of 0.5, genes associated with syndromic neurodevelopmental disorders (n = 31 genes, p = 3.37×10−3), intellectual disability (n = 88 genes, p = 5.53×10−3), and autism spectrum disorder (n = 242 genes, p = 3.45×10−4) were relatively enriched in prenatal transcript abundance, compared to the overall transcriptome. Genes associated with schizophrenia by GWAS were not preferentially fetal expressed (n = 106 genes, p = 0.46), nor were genes associated with schizophrenia by exome sequencing (n = 212 genes, p = .21), but specific genes within CNV regions associated with schizophrenia were relatively enriched in prenatal transcript abundance, and genes associated with schizophrenia by meta-analysis were functionally enriched for some neurodevelopmental processes. In contrast, genes associated with neurodegenerative disorders were significantly underexpressed during fetal life (n = 46 genes, p = 1.67×10−3). We found evidence for relative prenatal enrichment of putative susceptibility genes for syndromic neurodevelopmental disorders, intellectual disability, and autism spectrum disorders. Future transcriptome-level association studies should evaluate regions other than the DLPFC, at other time points, and incorporate further RNA sequencing analyses.
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