Disclaimer

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 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.

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.

HuGE Published Literature, is a web based knowledge base that tracks the growing published literature of human genome epidemiologic studies. HuGE Published Literature offers a starting point for assembling articles for meta-analysis, highlighting research gaps, suggesting applied research questions, and identifying potential collaborators.

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. If the track is displayed in "full" mode, a list of associated disease class codes (as defined below) will be shown on the left of the entry.

Methods

GAD: Study data is recorded in the context of official human gene nomenclature with additional molecular reference numbers and links. It is gene centered. That is, each record is a record of a gene or marker. If a study investigated 6 genes for a particular disorder, there will be 6 records. Gene information is standardized, and annotated with molecular information, enabling integration with other molecular and genomic data resources.

HuGE Published Literature: This database consists of links to PubMed entries, extracted weekly since October 21, 2000. It references articles concerning genes, diseases and health outcomes, interacting personal or environmental factors. Articles are included if they present data on any one of five topics: genotype prevalence, gene-disease associations, gene-gene interactions, gene-environment interactions, or the validity or utility of genetic tests.

Contacts

Kevin G. Becker, Ph.D, DNA Array Unit, NIA, NIH
Yongqing Zhang, PhD, DNA Array Unit, NIA, NIH
Narmada Shenoy, DNA Array Unit, NIA, NIH

Muin J. Khoury, MD, Ph.D, OGDP, CDC
Marta Gwinn, MD, MPH, OGDP, CDC

References

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

Lin BK, Clyne M, Walsh M, Gomez O, Yu W, Gwinn M, Khoury MJ. The HuGE Published Literature Database Am J Epidemiol. 2006 Jul 1;164(1):1-4.