Authors
Daifeng Wang, Shuang Liu, Jonathan Warrell, Hyejung Won, Xu Shi, Fabio CP Navarro, Declan Clarke, Mengting Gu, Prashant Emani, Yucheng T Yang, Min Xu, Michael J Gandal, Shaoke Lou, Jing Zhang, Jonathan J Park, Chengfei Yan, Suhn Kyong Rhie, Kasidet Manakongtreecheep, Holly Zhou, Aparna Nathan, Mette Peters, Eugenio Mattei, Dominic Fitzgerald, Tonya Brunetti, Jill Moore, Yan Jiang, Kiran Girdhar, Gabriel E Hoffman, Selim Kalayci, Zeynep H Gümüş, Gregory E Crawford, PsychENCODE Consortium, Panos Roussos, Schahram Akbarian, Andrew E Jaffe, Kevin P White, Zhiping Weng, Nenad Sestan, Daniel H Geschwind, James A Knowles, Mark B Gerstein
Publication date
2018/12/14
Journal
Science
Volume
362
Issue
6420
Pages
eaat8464
Publisher
American Association for the Advancement of Science
Description
INTRODUCTION
Strong genetic associations have been found for a number of psychiatric disorders. However, understanding the underlying molecular mechanisms remains challenging.
RATIONALE
To address this challenge, the PsychENCODE Consortium has developed a comprehensive online resource and integrative models for the functional genomics of the human brain.
RESULTS
The base of the pyramidal resource is the datasets generated by PsychENCODE, including bulk transcriptome, chromatin, genotype, and Hi-C datasets and single-cell transcriptomic data from ~32,000 cells for major brain regions. We have merged these with data from Genotype-Tissue Expression (GTEx), ENCODE, Roadmap Epigenomics, and single-cell analyses. Via uniform processing, we created a harmonized resource, allowing us to survey functional genomics data on the brain over a sample size of 1866 individuals …
Scholar articles
D Wang, S Liu, J Warrell, H Won, X Shi, FCP Navarro… - Science, 2018