Literature DB >> 17230444

Data protection in biomaterial banks for Parkinson's disease research: the model of GEPARD (Gene Bank Parkinson's Disease Germany).

Karla Eggert1, Ullrich Wüllner, Gisela Antony, Thomas Gasser, Bernd Janetzky, Christine Klein, Ludger Schöls, Wolfgang Oertel.   

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disease. Although 10 gene loci have been identified to cause a Parkinsonian syndrome, these loci account only for a minority of PD patients. Large, systematic research programs are required to collect, store, and analyze DNA samples and clinical information to support further discovery of additional genetic components of PD or other movement disorders. Such programs facilitate research into the relationship between genotype and phenotype. The German Competence Network on Parkinson's disease (CNP) initiated the Gene Bank Parkinson's Disease Germany (GEPARD), providing an administrative and scientific infrastructure for the storage of DNA and clinical data that are electronically accessible and protective of patient rights. In this article, we offer guidance on how to establish a framework for a clinical genetic data and DNA bank, and describe GEPARD as a model that may be useful to other local, national, and international research groups developing similar programs.

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Year:  2007        PMID: 17230444     DOI: 10.1002/mds.21331

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  3 in total

1.  Features of probable multiple system atrophy patients identified among 4770 patients with parkinsonism enrolled in the multicentre registry of the German Competence Network on Parkinson's disease.

Authors:  U Wüllner; T Schmitz-Hübsch; M Abele; G Antony; P Bauer; K Eggert
Journal:  J Neural Transm (Vienna)       Date:  2007-05-18       Impact factor: 3.575

2.  A generic solution for web-based management of pseudonymized data.

Authors:  Ronald Lautenschläger; Florian Kohlmayer; Fabian Prasser; Klaus A Kuhn
Journal:  BMC Med Inform Decis Mak       Date:  2015-11-30       Impact factor: 2.796

3.  Pseudonymization for research data collection: is the juice worth the squeeze?

Authors:  Florian Kohlmayer; Ronald Lautenschläger; Fabian Prasser
Journal:  BMC Med Inform Decis Mak       Date:  2019-09-04       Impact factor: 2.796

  3 in total

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