Despite progress in defining genetic risk for psychiatric disorders, their molecular mechanisms remain elusive. Addressing this, the PsychENCODE Consortium has generated a comprehensive online resource for the adult brain across 1866 individuals. The PsychENCODE resource contains ∼79,000 brain-active enhancers, sets of Hi-C linkages, and topologically associating domains; single-cell expression profiles for many cell types; expression quantitative-trait loci (QTLs); and further QTLs associated with chromatin, splicing, and cell-type proportions. Integration shows that varying cell-type proportions largely account for the cross-population variation in expression (with >88% reconstruction accuracy). It also allows building of a gene regulatory network, linking genome-wide association study variants to genes (e.g., 321 for schizophrenia).We embed this network into an interpretable deep-learning model, which improves disease prediction by ∼6-fold versus polygenic risk scores and identifies key genes and pathways in psychiatric disorders.
CITATION STYLE
Wang, D., Liu, S., Warrell, J., Won, H., Shi, X., Navarro, F. C. P., … Gerstein, M. B. (2018). Comprehensive functional genomic resource and integrative model for the human brain. Science, 362(6420). https://doi.org/10.1126/science.aat8464
Mendeley helps you to discover research relevant for your work.