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U-Statistics-Based Tests For Multiple Genes In Genetic Association Studies, Zhi Wei, Mingyao Li Phd, Timothy Rebbeck, Hongzhe Li

UPenn Biostatistics Working Papers

Abstract: As our understanding of biological pathways and the genes that regulate these pathways increases, consideration of these biological pathways has become an increasingly important part of genetic and molecular epidemiology. Pathway-based genetic association studies often involve genotyping of variants in genes acting in certain biological pathways. Such pathway-based genetic association studies can potentially capture the highly heterogeneous nature of many complex traits, with multiple causative loci and multiple alleles at some of the causative loci. In this paper, we develop two nonparametric test statistics that consider simultaneously the effects of multiple markers. Our approach, which is based on data-adaptive …