Back to Search Start Over

Enhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative.

Authors :
Docherty AR
Fonseca-Pedrero E
Debbané M
Chan RCK
Linscott RJ
Jonas KG
Cicero DC
Green MJ
Simms LJ
Mason O
Watson D
Ettinger U
Waszczuk M
Rapp A
Grant P
Kotov R
DeYoung CG
Ruggero CJ
Eaton NR
Krueger RF
Patrick C
Hopwood C
O'Neill FA
Zald DH
Conway CC
Adkins DE
Waldman ID
van Os J
Sullivan PF
Anderson JS
Shabalin AA
Sponheim SR
Taylor SF
Grazioplene RG
Bacanu SA
Bigdeli TB
Haenschel C
Malaspina D
Gooding DC
Nicodemus K
Schultze-Lutter F
Barrantes-Vidal N
Mohr C
Carpenter WT
Cohen AS
Source :
Schizophrenia bulletin [Schizophr Bull] 2018 Oct 15; Vol. 44 (suppl_2), pp. S460-S467.
Publication Year :
2018

Abstract

The latent structure of schizotypy and psychosis-spectrum symptoms remains poorly understood. Furthermore, molecular genetic substrates are poorly defined, largely due to the substantial resources required to collect rich phenotypic data across diverse populations. Sample sizes of phenotypic studies are often insufficient for advanced structural equation modeling approaches. In the last 50 years, efforts in both psychiatry and psychological science have moved toward (1) a dimensional model of psychopathology (eg, the current Hierarchical Taxonomy of Psychopathology [HiTOP] initiative), (2) an integration of methods and measures across traits and units of analysis (eg, the RDoC initiative), and (3) powerful, impactful study designs maximizing sample size to detect subtle genomic variation relating to complex traits (the Psychiatric Genomics Consortium [PGC]). These movements are important to the future study of the psychosis spectrum, and to resolving heterogeneity with respect to instrument and population. The International Consortium of Schizotypy Research is composed of over 40 laboratories in 12 countries, and to date, members have compiled a body of schizotypy- and psychosis-related phenotype data from more than 30000 individuals. It has become apparent that compiling data into a protected, relational database and crowdsourcing analytic and data science expertise will result in significant enhancement of current research on the structure and biological substrates of the psychosis spectrum. The authors present a data-sharing infrastructure similar to that of the PGC, and a resource-sharing infrastructure similar to that of HiTOP. This report details the rationale and benefits of the phenotypic data collective and presents an open invitation for participation.

Details

Language :
English
ISSN :
1745-1701
Volume :
44
Issue :
suppl_2
Database :
MEDLINE
Journal :
Schizophrenia bulletin
Publication Type :
Academic Journal
Accession number :
29788473
Full Text :
https://doi.org/10.1093/schbul/sby059