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IEEE/ACM Trans Comput Biol Bioinform. 2012 Jan-Feb;9(1):88-97. doi: 10.1109/TCBB.2011.44. Epub 2011 Mar 3.

Disease liability prediction from large scale genotyping data using classifiers with a reject option.

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1
Oviedo University, Gijón.

Abstract

Genome-wide association studies (GWA) try to identify the genetic polymorphisms associated with variation in phenotypes. However, the most significant genetic variants may have a small predictive power to forecast the future development of common diseases. We study the prediction of the risk of developing a disease given genome-wide genotypic data using classifiers with a reject option, which only make a prediction when they are sufficiently certain, but in doubtful situations may reject making a classification. To test the reliability of our proposal, we used the Wellcome Trust Case Control Consortium (WTCCC) data set, comprising 14,000 cases of seven common human diseases and 3,000 shared controls.

PMID:
21383414
DOI:
10.1109/TCBB.2011.44
[Indexed for MEDLINE]
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