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Nucleic Acids Research Advance Access published online on October 23, 2008
Nucleic Acids Research, doi:10.1093/nar/gkn770
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© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Database Issue

MDPD: an integrated genetic information resource for Parkinson's disease

Suisheng Tang1,*, Zhuo Zhang1, Gopalakrishnan Kavitha1, Eng-King Tan2 and See Kiong Ng1

1Data Mining Department, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR) and 2Department of Neurology, Singapore General Hospital, Singapore

*To whom correspondence should be addressed. Tel: +65 6408 2162; Fax: +65 6467 7152; Email: suisheng{at}i2r.a-star.edu.sg

Received August 15, 2008. Revised September 18, 2008. Accepted October 7, 2008.

Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting millions of people. Both environmental and genetic factors play important roles in its causation and development. Genetic analysis has shown that over 100 genes are correlated with the etiology and pathology of PD. However, accessing genetic information in a consistent and fruitful way is not an easy task. The Mutation Database for Parkinson's Disease (MDPD) is designed to fulfill the need for information integration so that users can easily retrieve, inspect and enhance their knowledge on PD. The database contains 2391 entries on 202 genes extracted from 576 publications and manually examined by biomedical researchers. Each genetic substitution and the resulting impact are clearly labelled and linked to its primary reference. Every reported gene has a summary page that provides information on the variation impact, mutation type, the studied population, mutation position and reference collection. In addition, MDPD provides a unique functionality for users to compare the differences on the type of mutations among ethnic groups. As such, we hope that MDPD will serve as a valuable tool to bridge the gap between genetic analysis and clinical practice. MDPD is publicly accessible at http://datam.i2r.a-star.edu.sg/mdpd/.


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