title: A pathway-based association analysis model using common and rare variants.
abstract: How various genetic effects in combination affect susceptibility to certain disease states continues to be a major area of methodological research. Various rare variant models have been proposed, in response to a common failure to either identify or validate biologically driven causal genetic variants in genome-wide association studies. Adopting the idea that multiple rare variants may effectively produce a combined effect equal to a single common variant effect through common linkage with this variant, we construct a pathway-based genetic association analysis model using both common and rare variants. This genetic model is applied to the disease status of unrelated individuals in replication 1 from Genetic Analysis Workshop 17. In this simulated example, we were able to identify several pathways that were potentially associated with the disease status and found that common variants showed stronger genetic effect than rare variants.
authors.affiliation: Department of Biostatistics, Princess Margaret Hospital, 610 University Ave,, Toronto, ON M5G 2M9, Canada. wxu@uhnres.utoronto.ca.
authors.forename: Lu
authors.initials: L
authors.lastname: Cheng
authors.forename: Pingzhao
authors.initials: P
authors.lastname: Hu
authors.forename: Jenna
authors.initials: J
authors.lastname: Sykes
authors.forename: Melania
authors.initials: M
authors.lastname: Pintilie
authors.forename: Geoffrey
authors.initials: G
authors.lastname: Liu
authors.forename: Wei
authors.initials: W
authors.lastname: Xu