Disclaimer

The Genetic Association Database (GAD) is intended for use primarily by medical scientists and other professionals concerned with genetic disorders, by genetics researchers, and by advanced students in science and medicine. While the GAD database is open to the public, users seeking information about a personal medical or genetic condition are urged to consult with a qualified physician for diagnosis and for answers to personal questions. These data are provided by the GAD and do not represent any additional curation by UCSC.

Description

The Genetic Association Database is an archive of human genetic association studies of complex diseases and disorders. The goal of the database is to allow the user to rapidly identify medically relevant polymorphism from the large volume of polymorphism and mutational data, in the context of standardized nomenclature.

If the track is displayed in "pack" or "full" mode, mousing over an entry of this track will show a pop-up message listing all associated diseases. In "full" mode, each feature is labeled with the associated disease class code (as defined below).

Methods

Study data are recorded in the context of official human gene nomenclature with additional molecular reference numbers and links. The data are gene-centered; that is, each record is based on a gene or marker. For example, if a study investigated six genes for a particular disorder, there will be six records. Gene information is standardized and annotated with molecular information, enabling integration with other molecular and genomic data resources.

Data

Data are added to GAD on a periodic basis by the curator or investigators. A majority of the records in GAD are extracted from the online HuGE Navigator database, which is sponsored by the Centers for Disease Control and Prevention. HuGE Navigator provides access to a continuously updated, curated knowledge base of gene-disease associations, meta-analyses, and related information on genes and diseases extracted from NCBI PubMed. A gene-centered view is available via Genopedia, which is also available as HuGETrack.

Contacts

For more information on this dataset, contact Kevin G. Becker, PhD, Yongqing Zhang, PhD, and John Garner, MS, from the DNA Array Unit, NIA, NIH.

References

Becker KG, Barnes KC, Bright TJ, Wang AS. The Genetic Association Database. Nature Genetics 2004 May; 36(5):431-432.