Ontology highlight
ABSTRACT:
SUBMITTER: Li H
PROVIDER: S-EPMC2367573 | biostudies-literature | 2007
REPOSITORIES: biostudies-literature
Li Hua H Gao Guimin G Li Jian J Page Grier P GP Zhang Kui K
BMC proceedings 20071218
It is believed that epistatic interactions among loci contribute to variations in quantitative traits. Several methods are available to detect epistasis using population-based data. However, methods to characterize epistasis for quantitative traits in family-based association analysis are not well developed, especially for studying thousands of gene expression traits. Here, we proposed a linear mixed-model approach to detect epistasis for quantitative traits using family data. The proposed metho ...[more]