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Nucleic Acids Research 2005 33(Database Issue):D537-D543; doi:10.1093/nar/gki017
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Nucleic Acids Research, 2005, Vol. 33, Database issue D537-D543
© 2005, the authors
Nucleic Acids Research, Vol. 33, Database issue © Oxford University Press 2005; all rights reserved

HAGR: the Human Ageing Genomic Resources

João Pedro de Magalhães*, Joana Costa1 and Olivier Toussaint2

Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Room 238, Boston, MA 02115, USA, 1 Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA and 2 Department of Biology (URBC), University of Namur (FUNDP), Namur, Belgium

* To whom correspondence should be addressed. Tel: +1 617 432 6550; Fax: +1 617 432 6513; Email: jp{at}senescence.info

Received July 18, 2004; Revised and Accepted September 17, 2004

The Human Ageing Genomic Resources (HAGR) is a collection of online resources for studying the biology of human ageing. HAGR features two main databases: GenAge and AnAge. GenAge is a curated database of genes related to human ageing. Entries were primarily selected based on genetic perturbations in animal models and human diseases as well as an extensive literature review. Each entry includes a variety of automated and manually curated information, including, where available, protein–protein interactions, the relevant literature, and a description of the gene and how it relates to human ageing. The goal of GenAge is to provide the most complete and comprehensive database of genes related to human ageing on the Internet as well as render an overview of the genetics of human ageing. AnAge is an integrative database describing the ageing process in several organisms and featuring, if available, maximum life span, taxonomy, developmental schedules and metabolic rate, making AnAge a unique resource for the comparative biology of ageing. Associated with the databases are data-mining tools and software designed to investigate the role of genes and proteins in the human ageing process as well as analyse ageing across different taxa. HAGR is freely available to the academic community at http://genomics.senescence.info.

The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use permissions, please contact journals.permissions{at}oupjournals.org.


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