The RD5000 Database: Facilitating Clinical, Genetic, and Therapeutic Studies on Inherited Retinal Diseases
Publication year
2014Source
Investigative Ophthalmology and Visual Science, 55, 11, (2014), pp. 7355-60ISSN
Publication type
Article / Letter to editor
Display more detailsDisplay less details
Organization
Ophthalmology
Human Genetics
Medical Microbiology
Journal title
Investigative Ophthalmology and Visual Science
Volume
vol. 55
Issue
iss. 11
Page start
p. 7355
Page end
p. 60
Subject
Radboudumc 0: Other Research RIMLS: Radboud Institute for Molecular Life Sciences; Radboudumc 12: Sensory disorders RIHS: Radboud Institute for Health Sciences; Radboudumc 12: Sensory disorders RIMLS: Radboud Institute for Molecular Life SciencesAbstract
Inherited retinal diseases (IRDs) represent a clinical and genetic heterogeneous group of chorioretinal disorders. The frequency of persons affected by an IRD due to mutations in the same gene varies from 1 in 10,000 to less than 1 in a million. To perform meaningful genotype-phenotype analyses for rare genetic conditions, it is necessary to collect data from sizable populations. Although several standardized functional tests are used widely, ophthalmologic data usually are stored in local databases and not in multicenter databases that are linked with other centers. To be able to register ophthalmologic data of all Dutch patients with IRDs into one database, we developed the RD5000 database (RD5000db), which can harbor all ophthalmologic and selected genetic data. Authorization rights for the management, data entry, and data sharing have been set up, rendering this database into a user-friendly, secure, and widely used repository that will facilitate future studies into molecular genetics and therapies for IRDs. The RD5000db database has the potential to grow into a European standard for the registration of data from IRDs.
This item appears in the following Collection(s)
- Academic publications [243908]
- Electronic publications [130674]
- Faculty of Medical Sciences [92803]
- Open Access publications [104970]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.