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- Title
Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies.
- Authors
Teber, Erdahl T; Liu, Jason Y; Ballouz, Sara; Fatkin, Diane; Wouters, Merridee A
- Abstract
Automated candidate gene prediction systems allow geneticists to hone in on disease genes more rapidly by identifying the most probable candidate genes linked to the disease phenotypes under investigation. Here we assessed the ability of eight different candidate gene prediction systems to predict disease genes in intervals previously associated with type 2 diabetes by benchmarking their performance against genes implicated by recent genome-wide association studies.
- Publication
BMC bioinformatics, 2009, Vol 10 Suppl 1, pS69
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-10-S1-S69