The PsychENCODE Consortium has a collective goal of accelerating discovery of non‐coding functional genomic elements in human brain, and elucidating their role in the molecular pathophysiology of psychiatric disorders. The PEC is producing a public resource of multi‐dimensional genomic data using unbiased genome‐wide approaches on tissue and cell‐type specific samples from approximately 1,000 phenotypically well‐characterized healthy and diseased human post‐mortem brains. The PEC also shares data from functional characterization of disease‐associated regulatory elements and variants in in‐vitro and in‐vivo model systems.
The PsychENCODE Consortium investigators are committed to the release of data and results with the anticipation that data shared in a rapid and transparent manner will speed the pace of research to the benefit of both the PsychENCODE teams and the greater research community. Details of the currently released data are available on the PsychENCODE Knowledge Portal.
Access to Data
Access to PsychENCODE Consortium data from human studies is managed by the NRGR Access Request system, but the data are distributed through the Synapse system. Animal model data are available as open access through Synapse. To access the PsychENCODE human data, applicants must first register for a Synapse account and obtain a Synapse data access token on the PsychENCODE Consortium Knowledge Portal. Applicants must then complete a NRGR access request. The applicant's Synapse token must be included with the NRGR submission package along with the other required documents. Investigators using PsychENCODE data in publications should include this acknowledgement.
Please note that the NRGR does not have any biomaterials associated with the PsychENCODE Consortium data.
Funding and Leadership
PsychENCODE Consortium -- Data were generated as part of the PsychENCODE Consortium supported by: U01MH103339, U01MH103365, U01MH103392, U01MH103340, U01MH103346, R01MH105472, R01MH094714, R01MH105898, R21MH102791, R21MH105881, R21MH103877, and P50MH106934 awarded to: Schahram Akbarian (Icahn School of Medicine at Mount Sinai), Gregory Crawford (Duke), Stella Dracheva (Icahn School of Medicine at Mount Sinai), Peggy Farnham (USC), Mark Gerstein (Yale), Daniel Geschwind (UCLA), Thomas M. Hyde (LIBD), Andrew Jaffe (LIBD), James A. Knowles (USC), Chunyu Liu (UIC), Dalila Pinto (Icahn School of Medicine at Mount Sinai), Nenad Sestan (Yale), Pamela Sklar (Icahn School of Medicine at Mount Sinai), Matthew State (UCSF), Patrick Sullivan (UNC), Flora Vaccarino (Yale), Sherman Weissman (Yale), Kevin White (UChicago) and Peter Zandi (JHU).
Additional information about the PsychENCODE Consortium can be found at the PsychENCODE website.