title: The multiplicity problem in linkage analysis of gene expression data - the power of differentiating cis- and trans-acting regulators.
abstract: In this report, we focused on the multiplicity issue in Problem 1 of Genetic Analysis Workshop 15. We investigated and compared the performance of the stratified false-discovery rate control method with the traditional aggregated approach, in an application to genome-wide linkage analyses of single-nucleotide polymorphism-to-gene expression data. We showed the importance of utilizing the available map information and demonstrated the power gained by conducting false-discovery rate control separately for cis and trans regulators under three different frameworks: fixed rejection region, fixed false-discovery rate, and fixed number of rejections.
authors.affiliation: Research Institute, Hospital for Sick Children, 555 University Avenue, Toronto, Ontario, M5G 1X8, Canada. baisong@stat.toronto.edu
authors.forename: Baisong
authors.initials: B
authors.lastname: Huang
authors.forename: Jagadish
authors.initials: J
authors.lastname: Rangrej
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Paterson
authors.forename: Lei
authors.initials: L
authors.lastname: Sun