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 ...
Knowledge of genomic features specific to the human lineage may provide insights into brain-related ...
Altres ajuts: Leonard Wolfson Foundation; United Kingdom Medical Research Council (MRC, MR/N008324/1...
Using robust, integrated analysis of multiple genomic datasets, we show that genes depleted for non-...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Cognitive brain networks such as the default-mode network (DMN), frontoparietal network, and salienc...
Knowledge of genomic features specific to the human lineage may provide insights into brain-related ...
Knowledge of genomic features specific to the human lineage may provide insights into brain-related ...
Dissecting the genetic susceptibility to intellectual disability (ID) based on de novo mutations (DN...
Knowledge of genomic features specific to the human lineage may provide insights into brain-related ...
Altres ajuts: Leonard Wolfson Foundation; United Kingdom Medical Research Council (MRC, MR/N008324/1...
Using robust, integrated analysis of multiple genomic datasets, we show that genes depleted for non-...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Genetic determinants of cognition are poorly characterized, and their relationship to genes that con...
Cognitive brain networks such as the default-mode network (DMN), frontoparietal network, and salienc...
Knowledge of genomic features specific to the human lineage may provide insights into brain-related ...
Knowledge of genomic features specific to the human lineage may provide insights into brain-related ...
Dissecting the genetic susceptibility to intellectual disability (ID) based on de novo mutations (DN...
Knowledge of genomic features specific to the human lineage may provide insights into brain-related ...
Altres ajuts: Leonard Wolfson Foundation; United Kingdom Medical Research Council (MRC, MR/N008324/1...
Using robust, integrated analysis of multiple genomic datasets, we show that genes depleted for non-...