摘要：It is increasingly recognized that pathway analyses-a joint test of association between the outcome and a group of single nucleotide polymorphisms (SNPs) within a biological pathway-could complement single SNP analysis and provide additional insights for the genetic architecture of complex diseases. Previously, we have developed a pathway analysis procedure called ARTP that used the adaptive rank truncated product statistic to effectively combine evidence of association over different SNPs within a pathway. In this talk, I will describe several strategies to improve the ARTP procedure. I will illustrate the advantage of the improved ARTP procedure through its applications in several large scale genome-wide association studies.