Comprehensive functional genomic resource and integrative model for the human brain.

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Wang, D; Liu, S; Warrell, J; Won, H; Shi, X; Navarro, FCP; Clarke, D; Gu, M; Emani, P; Yang, YT; Xu, M; Gandal, MJ; Lou, S; Zhang, J; Park, JJ; Yan, C; Rhie, SK; Manakongtreecheep, K; Zhou, H; Nathan, A; Peters, M; Mattei, E; Fitzgerald, D; Brunetti, T; Moore, J; Jiang, Y; Girdhar, K; Hoffman, GE; Kalayci, S; Gümüş, ZH; Crawford, GE; PsychENCODE Consortium, ; Roussos, P; Akbarian, S; Jaffe, AE; White, KP; Weng, Z; Sestan, N; Geschwind, DH; Knowles, JA; Gerstein, MB

Published Date

  • December 14, 2018

Published In

Volume / Issue

  • 362 / 6420

PubMed ID

  • 30545857

Pubmed Central ID

  • PMC6413328

Electronic International Standard Serial Number (EISSN)

  • 1095-9203

Digital Object Identifier (DOI)

  • 10.1126/science.aat8464


  • eng

Conference Location

  • United States