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Generalized admixture mapping for complex traits.

dc.contributor.author Ashley-Koch, A
dc.contributor.author Dunson, David B
dc.contributor.author Zhu, B
dc.coverage.spatial United States
dc.date.accessioned 2017-10-01T21:18:36Z
dc.date.available 2017-10-01T21:18:36Z
dc.date.issued 2013-07-08
dc.identifier https://www.ncbi.nlm.nih.gov/pubmed/23665878
dc.identifier g3.113.006478
dc.identifier.uri https://hdl.handle.net/10161/15601
dc.description.abstract 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.
dc.language eng
dc.relation.ispartof G3 (Bethesda)
dc.relation.isversionof 10.1534/g3.113.006478
dc.subject generalized linear model
dc.subject local ancestry
dc.subject mapping by admixture linkage disequilibrium
dc.subject quadratic normal moment prior
dc.subject quantitative traits
dc.subject African Americans
dc.subject Case-Control Studies
dc.subject Chromosome Mapping
dc.subject Female
dc.subject Genetic Association Studies
dc.subject Genetics, Population
dc.subject Genome, Human
dc.subject Humans
dc.subject Linkage Disequilibrium
dc.subject Models, Theoretical
dc.subject Pregnancy
dc.subject Quantitative Trait Loci
dc.title Generalized admixture mapping for complex traits.
dc.type Journal article
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/23665878
pubs.begin-page 1165
pubs.end-page 1175
pubs.issue 7
pubs.organisational-group Basic Science Departments
pubs.organisational-group Biostatistics & Bioinformatics
pubs.organisational-group Center for Child and Family Policy
pubs.organisational-group Clinical Science Departments
pubs.organisational-group Duke
pubs.organisational-group Duke Institute for Brain Sciences
pubs.organisational-group Duke Molecular Physiology Institute
pubs.organisational-group Electrical and Computer Engineering
pubs.organisational-group Institutes and Centers
pubs.organisational-group Institutes and Provost's Academic Units
pubs.organisational-group Medicine
pubs.organisational-group Medicine, Nephrology
pubs.organisational-group Molecular Genetics and Microbiology
pubs.organisational-group Pratt School of Engineering
pubs.organisational-group Sanford School of Public Policy
pubs.organisational-group School of Medicine
pubs.organisational-group Statistical Science
pubs.organisational-group Trinity College of Arts & Sciences
pubs.organisational-group University Institutes and Centers
pubs.publication-status Published online
pubs.volume 3
dc.identifier.eissn 2160-1836


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