title: Mapping of disease-associated variants in admixed populations.
abstract: A more refined estimation of ancestry would benefit admixture mapping and association mapping, making disease loci identification in admixed populations more powerful.
authors.affiliation: Center for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South Drive, MSC 5635, Bethesda, MD 20892, USA. shrinerda@mail.nih.gov
authors.forename: Daniel
authors.initials: D
authors.lastname: Shriner
authors.forename: Adebowale
authors.initials: A
authors.lastname: Adeyemo
authors.forename: Edward
authors.initials: E
authors.lastname: Ramos
authors.forename: Guanjie
authors.initials: G
authors.lastname: Chen
authors.forename: Charles N
authors.initials: CN
authors.lastname: Rotimi
mesh_terms: D000483:Alleles; D044467:American Indian or Alaska Native / Q000235:genetics*; D044383:Black People / Q000235:genetics*; D002318:Cardiovascular Diseases / Q000235:genetics; D002874:Chromosome Mapping; D005787:Gene Frequency; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D005828:Genetics, Population / Q000379:methods*; D023281:Genomics / Q000379:methods*; D006801:Humans; D008957:Models, Genetic; D010802:Phylogeny; D020641:Polymorphism, Single Nucleotide; D011157:Population Dynamics; D040641:Quantitative Trait Loci; D014777:Virus Diseases / Q000235:genetics; D044465:White People / Q000235:genetics*
chemical_list: D005819:Genetic Markers