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Enhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative

文献类型:期刊论文

AuthorDocherty, Anna R.1,2,3; Fonseca-Pedrero, Eduardo4; Debbane, Martin5,6; Chan, Raymond C. K.7,8; Linscott, Richard J.9; Jonas, Katherine G.10; Cicero, David C.11; Green, Melissa J.12; Simms, Leonard J.13; Mason, Oliver14
SourceSCHIZOPHRENIA BULLETIN
Issued Date2018-11-01
Volume44Pages:S460-S467
ISSN0586-7614
KeywordData Sharing Schizotypy Schizotypal Psychos Is Schizophrenia Phenotype Genetic Icsr Hitop
DOI10.1093/schbul/sby059
Rank7
SubtypeArticle
English 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 30 000 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.

WOS KeywordResearch Domain Criteria ; Genome-wide Association ; Syndrome Scale Panss ; Negative Syndrome ; Schizotypal Symptoms ; Increases Accuracy ; General-population ; Bipolar Disorder ; Complex Diseases ; Risk Prediction
WOS Research AreaPsychiatry
Language英语
WOS IDWOS:000448172600002
PublisherOXFORD UNIV PRESS
源URL[http://ir.psych.ac.cn/handle/311026/27314]  
Collection心理研究所_中国科学院心理健康重点实验室
Corresponding AuthorDocherty, Anna R.
Affiliation1.Univ Utah, Sch Med, Dept Psychiat, 501 Chipeta Way, Salt Lake City, UT 84110 USA
2.Virginia Commonwealth Univ, Sch Med, Virginia Inst Psychiat & Behav Genet, Richmond, VA USA
3.Virginia Commonwealth Univ, Sch Med, Dept Psychiat, Richmond, VA USA
4.Univ La Rioja, Dept Psychiat, Oviedo, Spain
5.UCL, Res Dept Clin Educ & Hlth Psychol, London, England
6.Univ Geneva, Psychol & Educ Sci, Geneva, Switzerland
7.Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Neuropsychol & Appl Cognit Neurosci Lab, Beijing, Peoples R China
8.Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
9.Univ Otago, Dept Psychol, Dunedin, New Zealand
10.Stony Brook Sch Med, Dept Psychiat, Stony Brook, NY USA
Recommended Citation
GB/T 7714
Docherty, Anna R.,Fonseca-Pedrero, Eduardo,Debbane, Martin,et al. Enhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative[J]. SCHIZOPHRENIA BULLETIN,2018,44:S460-S467.
APA Docherty, Anna R..,Fonseca-Pedrero, Eduardo.,Debbane, Martin.,Chan, Raymond C. K..,Linscott, Richard J..,...&Cohen, Alex S..(2018).Enhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative.SCHIZOPHRENIA BULLETIN,44,S460-S467.
MLA Docherty, Anna R.,et al."Enhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative".SCHIZOPHRENIA BULLETIN 44(2018):S460-S467.

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来源:心理研究所

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