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Title

 

 

 

 

GCSDB: an integrated database system for the Georgia Centenarian Study

 

Authors

Jianliang Dai2, Adam Davey1, Ilene C. Siegler3, Jonathan Arnold2*, Leonard W. Poon2 for the Georgia Centenarian Study4

 

Affiliation

1 Temple University;2 The University of Georgia;3 FN Duke University Medical Center; 4The Georgia Centenarian Study (Leonard W. Poon, PI)

 

Email

arnold@uga.edu; * Corresponding author

 

Article Type

Web Database

 

Date

received September 05, 2006;revised October 02,2006; accepted October 02, 2006; published online October 07, 2006
 

Abstract

GCSDB is a web-oriented integrated database system for the Georgia Centenarian Study, a phase III, population-based, multidisciplinary study of centenarians. The Study recruited 244 centenarians and near-centenarians (age 98 and older), 80 octogenarians and 400 young controls in Northern Georgia. GCSDB incorporates more than 40 relational tables containing data about the participants including demographics, family longevity, physical health, cognition, neuropsychology, mental health, neuropathology, functional capacity, and genetics. The GCSDB web site includes detailed information about these tables and functions for genetic and other kinds of data analysis. More data and functions will be added as the study progresses. GCSDB provides a resource that could be used to identify what biological, psychological, and social factors as well as their epistatic interactions help these centenarians achieve long life.

 

Availablity

http://qa.genetics.uga.edu (login information can be obtained from authors)

 

Keywords

 

centenarian; cognition; database; longevity; mental health; neuropathology; neuropsychology; functional capacity; Single Nucleotide Polymorphism (SNPs)

 

Citation

Dai et al., Bioinformation 1(6): 214-219 (2006)

 

Edited by

M. K. Sakharkar

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.