| Literature DB >> 29788473 |
Anna R Docherty1,2,3, Eduardo Fonseca-Pedrero4, Martin Debbané5,6, Raymond C K Chan7,8, Richard J Linscott9, Katherine G Jonas10, David C Cicero11, Melissa J Green12, Leonard J Simms13, Oliver Mason14, David Watson15, Ulrich Ettinger16, Monika Waszczuk10, Alexander Rapp17, Phillip Grant18,19, Roman Kotov10, Colin G DeYoung20, Camilo J Ruggero21, Nicolas R Eaton22, Robert F Krueger20, Christopher Patrick23, Christopher Hopwood24, F Anthony O'Neill25, David H Zald26,27, Christopher C Conway28, Daniel E Adkins1,29, Irwin D Waldman30, Jim van Os31,32,33, Patrick F Sullivan34,35, John S Anderson1, Andrey A Shabalin1, Scott R Sponheim20, Stephan F Taylor36, Rachel G Grazioplene37, Silviu A Bacanu2, Tim B Bigdeli2,3,38, Corinna Haenschel39, Dolores Malaspina40, Diane C Gooding41, Kristin Nicodemus42, Frauke Schultze-Lutter43, Neus Barrantes-Vidal44,45,46, Christine Mohr47, William T Carpenter48, Alex S Cohen49.
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.Entities:
Mesh:
Year: 2018 PMID: 29788473 PMCID: PMC6188505 DOI: 10.1093/schbul/sby059
Source DB: PubMed Journal: Schizophr Bull ISSN: 0586-7614 Impact factor: 9.306