An Efficient Method for Detecting Gene-Gene Interactions by Reducing Testing Combinations
Date Issued
2009
Date
2009
Author(s)
Kuo, Chien-Hung
Abstract
Previous studies have shown that complex diseases are affected by multiple genes. With the development of microarray technique, million single nucleotide polymorphisms (SNPs) could be genotyped for association analyses simultaneously. There will be many possible combinations of SNP-SNP interactions, therefore a great amount of calculation is necessary. We proposed the efficient detecting method (EDM) to reduce the number of association tests and decrease the calculation time by chi-square test. The testing p-values and model selection procedures were utilized for comparing the testing results of EDM and all combinations. Three datasets with different numbers of SNPs were analyzed to demonstrate the performance of EDM. From the results, we concluded that EDM could decrease the calculation time and detect the significant SNP-SNP interactions associated with diseases.
Subjects
single nucleotide polymorphisms
SNP-SNP interactions
efficient detecting method
chi-square test
Type
thesis
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