title: Identifying regions of disease-related variants in admixed populations with the summation partition approach.
abstract: We propose a new method for identifying disease-related regions of single nucleotide variants in recently admixed populations. We use principal component analysis to derive both global and local ancestry information. We then use the summation partition approach to search for disease-related regions based on both rare variants and the local ancestral information of each region. We demonstrate this method using individuals with high systolic blood pressure from a sample of unrelated Mexican American subjects provided in the 19th Genetic Analysis Workshop.
authors.affiliation: Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027 USA.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Auerbach
authors.affiliation: Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027 USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Agne
authors.affiliation: Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027 USA.
authors.forename: Rachel
authors.initials: R
authors.lastname: Fan
authors.affiliation: Department of Political Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA.
authors.forename: Adeline
authors.initials: A
authors.lastname: Lo
authors.affiliation: Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027 USA.
authors.forename: Shaw-Hwa
authors.initials: SH
authors.lastname: Lo
authors.affiliation: Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027 USA.
authors.forename: Tian
authors.initials: T
authors.lastname: Zheng
authors.affiliation: Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1428 Madison Avenue, New York, NY 10029 USA.
authors.forename: Pei
authors.initials: P
authors.lastname: Wang