Article
Prioritizing individual genetic variants after kernel machine testing using variable selection.
Genetic epidemiology - 1 Dec 2016
He Qianchuan, Cai Tianxi, Liu Yang, Zhao Ni, Harmon Quaker E, Almli Lynn M, Binder Elisabeth B, Engel Stephanie M, Ressler Kerry J, Conneely Karen N, Lin Xihong, Wu Michael C
Abstract excerpt
Kernel machine learning methods, such as the SNP-set kernel association test (SKAT), have been widely used to test associations between traits and genetic polymorphisms. In contrast to traditional single-SNP analysis methods, these methods are designed to examine the joint effect of a set of related SNPs (such as a group of SNPs within a gene or a pathway) and are able to identify sets of SNPs that are associated...
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