Generalized admixture mapping for complex traits.

Published online

Journal Article

Admixture mapping is a popular tool to identify regions of the genome associated with traits in a recently admixed population. Existing methods have been developed primarily for identification of a single locus influencing a dichotomous trait within a case-control study design. We propose a generalized admixture mapping (GLEAM) approach, a flexible and powerful regression method for both quantitative and qualitative traits, which is able to test for association between the trait and local ancestries in multiple loci simultaneously and adjust for covariates. The new method is based on the generalized linear model and uses a quadratic normal moment prior to incorporate admixture prior information. Through simulation, we demonstrate that GLEAM achieves lower type I error rate and higher power than ANCESTRYMAP both for qualitative traits and more significantly for quantitative traits. We applied GLEAM to genome-wide SNP data from the Illumina African American panel derived from a cohort of black women participating in the Healthy Pregnancy, Healthy Baby study and identified a locus on chromosome 2 associated with the averaged maternal mean arterial pressure during 24 to 28 weeks of pregnancy.

Full Text

Duke Authors

Cited Authors

  • Zhu, B; Ashley-Koch, AE; Dunson, DB

Published Date

  • July 8, 2013

Published In

Volume / Issue

  • 3 / 7

Start / End Page

  • 1165 - 1175

PubMed ID

  • 23665878

Electronic International Standard Serial Number (EISSN)

  • 2160-1836

Digital Object Identifier (DOI)

  • 10.1534/g3.113.006478

Language

  • eng

Conference Location

  • United States