Open AccessEvaluation of genome-wide association study results through development of ontology fingerprints
Author(s) -
Lam C. Tsoi,
Michael Boehnke,
Richard L. Klein,
W. Jim Zheng
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp158
Subject(s) - computational biology , genome wide association study , genetics , gene , biology , single nucleotide polymorphism , genotype
Genome-wide association (GWA) studies may identify multiple variants that are associated with a disease or trait. To narrow down candidates for further validation, quantitatively assessing how identified genes relate to a phenotype of interest is important.
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