期刊
NATURE NEUROSCIENCE
卷 19, 期 2, 页码 223-+出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/nn.4205
关键词
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资金
- UK Imperial National Institute for Health Research Biomedical Research Centre
- UK Medical Research Council
- National Genome Research Network (NGFNplus: EMINet) [01GS08122]
- EuroEpinomics
- UCB Pharma
- Singapore Ministry of Health
- Age UK (Disconnected Mind project)
- Biotechnology and Biological Sciences Research Council
- MRC
- Chief Scientist Office of the Scottish Government Health Directorate [CZD/16/6]
- Scottish Funding Council [HR03006]
- UK's Medical Research Council
- Marie Curie Intra European Fellowship within the 7th European Community Framework Programme
- BBSRC [BB/F019394/1] Funding Source: UKRI
- MRC [MR/L012561/1, MC_PC_U127561128, G0700704, MC_U120097112] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/F019394/1] Funding Source: researchfish
- British Heart Foundation [FS/11/25/28740] Funding Source: researchfish
- Chief Scientist Office [CZD/16/6/4] Funding Source: researchfish
- Medical Research Council [MR/K026992/1, MR/L012561/1, G0700704, G1001245, MC_U120097112, MC_PC_U127561128, MR/M013111/1] Funding Source: researchfish
Genetic determinants of cognition are poorly characterized, and their relationship to genes that confer risk for neurodevelopmental disease is unclear. Here we performed a systems-level analysis of genome-wide gene expression data to infer gene-regulatory networks conserved across species and brain regions. Two of these networks, M1 and M3, showed replicable enrichment for common genetic variants underlying healthy human cognitive abilities, including memory. Using exome sequence data from 6,871 trios, we found that M3 genes were also enriched for mutations ascertained from patients with neurodevelopmental disease generally, and intellectual disability and epileptic encephalopathy in particular. M3 consists of 150 genes whose expression is tightly developmentally regulated, but which are collectively poorly annotated for known functional pathways. These results illustrate how systems-level analyses can reveal previously unappreciated relationships between neurodevelopmental disease-associated genes in the developed human brain, and provide empirical support for a convergent gene-regulatory network influencing cognition and neurodevelopmental disease.
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