Human Ageing Genomic Resources

The Human Ageing Genomic Resources (HAGR) is a collection of databases and tools designed to help researchers study the genetics of human ageing using modern approaches such as functional genomics, network analyses, systems biology and evolutionary analyses.

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GenAge

A major resource in HAGR is GenAge, which includes a curated database of genes related to human ageing and a database of ageing- and longevity-associated genes in model organisms

Human
Model

AnAge

Another major database in HAGR is AnAge. Featuring over 4,000 species, AnAge provides a compilation of data on ageing, longevity, and life history that is ideal for the comparative biology of ageing.

Species

GenDR

GenDR is a database of genes associated with dietary restriction based on genetic manipulation experiments and gene expression profiling.

Other Datasets, Tools and Projects

Other projects we are involved in include evolutionary studies, genome sequencing, cancer genomics, and gene expression analyses. The latter allowed us to identify a set of genes commonly altered during mammalian ageing which represents a conserved molecular signature of ageing.

In addition to developing datasets and performing numerous analyses we develop computational tools and software, including a Perl toolkit entitled the Ageing Research Computational Tools (ARCT), and a method to calculate the rate of ageing of a given population based on demographic parameters.

If you are interested in the genomics of ageing, please spare a moment to read our scientific strategy. In case you are lost, you can always visit our help section or search our resources. You can also learn more about our project and the people responsible, and please remember to read our disclaimer and copyright. Usage of HAGR or any of its associated resources implies you have read, understood, and accepted our terms and conditions and will abide by them.

Lastly, we have an extensive list of links regarding computational biology, genomics, gerontology, and comparative biology.

HAGR is employed by numerous researchers around the world and has been cited in dozens of publications. It was highlighted in Science (307:187), Nature Reviews Genetics (5:1362), and BioTechniques (39:21).

Feedback on all aspects of HAGR is always appreciated. To receive the latest news and announcements concerning HAGR, please join the HAGR-news mailing list.