2012
DOI: 10.1038/mp.2012.11
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Managing sensitive phenotypic data and biomaterial in large-scale collaborative psychiatric genetic research projects: practical considerations

Abstract: Large-scale collaborative research will be a hallmark of future psychiatric genetic research. Ideally, both academic and non-academic institutions should be able to participate in such collaborations to allow for the establishment of very large samples in a straightforward manner. Any such endeavor requires an easy-to-implement information technology (IT) framework. Here we present the requirements for a centralized framework and describe how they can be met through a modular IT toolbox.

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Cited by 19 publications
(30 citation statements)
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“…These centers are clinical collaborators of an ongoing study on genotype-phenotype relationships and the neurobiology of the longitudinal course of major psychiatric disorders (www.kfo241.de and www.PsyCourse.de). This study combines comprehensive longitudinal deep phenotyping, longitudinal sampling of various types of biomaterial, and state-of-the art proband management and biobanking, as well as advanced data protection, governed by stringent standard operating procedures for a multicenter study framework like ours (52)(53)(54)(55). Blood was collected in Pax gene tubes and incubated for 2 h at room temperature.…”
Section: Materials/subjects and Methodsmentioning
confidence: 99%
“…These centers are clinical collaborators of an ongoing study on genotype-phenotype relationships and the neurobiology of the longitudinal course of major psychiatric disorders (www.kfo241.de and www.PsyCourse.de). This study combines comprehensive longitudinal deep phenotyping, longitudinal sampling of various types of biomaterial, and state-of-the art proband management and biobanking, as well as advanced data protection, governed by stringent standard operating procedures for a multicenter study framework like ours (52)(53)(54)(55). Blood was collected in Pax gene tubes and incubated for 2 h at room temperature.…”
Section: Materials/subjects and Methodsmentioning
confidence: 99%
“…Two options exist to include large numbers of patients or study participants: by recruiting patients in multiple centers or by including patients from multiple (existing) cohorts. The former one requires a decision on either a central IT-infrastructure, providing a defined set of software tools for all participating centers (see also Demiroglu et al, 2012), or a decentralized IT-infrastructure, integrating data from the respective local software tools available at the participating centers. The latter one requires an appropriate handling of heterogeneous study contexts and data qualities as well as a mapping of data items (Flachenecker et al, 2014).…”
Section: It-requirements For Longitudinal and Large Cohort Studiesmentioning
confidence: 99%
“…Longitudinal studies are required and are already performed (Demiroglu et al, 2012;Warner et al, 2008) since the patients need to be followed up for many years to observe the disease progression, therapy effects, or the change in quality of life. In addition, many mental disorders and degenerative diseases, such as Multiple Sclerosis or Huntington's disease, have an early onset.…”
Section: Introductionmentioning
confidence: 99%
“…From then until the biomedical research project, the KFO 241, was able to use its IT-infrastructure, 12 which consists of more IT components than just the biospecimen management system, took another 10 months. This also included setting up and developing further IT-components, programming of interfaces between the components and buying and installing dedicated server hardware.…”
Section: How-to-guidementioning
confidence: 99%
“…This manual entry approach progresses to Excel sheets and to state-of-the-art options, such as professional biobanking software products. 12,13 An overview of the latter is available on the ISBER marketplace.…”
Section: Introductionmentioning
confidence: 99%