Results showed that the proposed permutation strategy is more powerful and efficient with greatly reducing the computational complexity. sample permutation and gene permutation, through simulation studies and a study on a real dataset. ![]() The developed permutation strategy was evaluated and compared to two previously available methods, i.e. ![]() We proposed a new and efficient permutation strategy based on SNP randomization for determining significance in pathway analysis of GWAS. ![]() However, the current available pathway-based approaches for analyzing GWAS have limited power and efficiency. Recently introduced pathway-based approach is promising and advantageous to improve the efficiency of analyzing genome-wide association scan (GWAS) data to identify disease variants by jointly considering variants of the genes that belong to the same biological pathway.
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