title: A genomewide admixture map for Latino populations.
abstract: Admixture mapping is an economical and powerful approach for localizing disease genes in populations of recently mixed ancestry and has proven successful in African Americans. The method holds equal promise for Latinos, who typically inherit a mix of European, Native American, and African ancestry. However, admixture mapping in Latinos has not been practical because of the lack of a map of ancestry-informative markers validated in Native American and other populations. To address this, we screened multiple databases, containing millions of markers, to identify 4,186 markers that were putatively informative for determining the ancestry of chromosomal segments in Latino populations. We experimentally validated each of these markers in at least 232 new Latino, European, Native American, and African samples, and we selected a subset of 1,649 markers to form an admixture map. An advantage of our strategy is that we focused our map on markers distinguishing Native American from other ancestries and restricted it to markers with very similar frequencies in Europeans and Africans, which decreased the number of markers needed and minimized the possibility of false disease associations. We evaluated the effectiveness of our map for localizing disease genes in four Latino populations from both North and South America.
authors.affiliation: Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
authors.forename: Alkes L
authors.initials: AL
authors.lastname: Price
authors.forename: Nick
authors.initials: N
authors.lastname: Patterson
authors.forename: Fuli
authors.initials: F
authors.lastname: Yu
authors.forename: David R
authors.initials: DR
authors.lastname: Cox
authors.forename: Alicja
authors.initials: A
authors.lastname: Waliszewska
authors.forename: Gavin J
authors.initials: GJ
authors.lastname: McDonald
authors.forename: Arti
authors.initials: A
authors.lastname: Tandon
authors.forename: Christine
authors.initials: C
authors.lastname: Schirmer
authors.forename: Julie
authors.initials: J
authors.lastname: Neubauer
authors.forename: Gabriel
authors.initials: G
authors.lastname: Bedoya
authors.forename: Constanza
authors.initials: C
authors.lastname: Duque
authors.forename: Alberto
authors.initials: A
authors.lastname: Villegas
authors.forename: Maria Catira
authors.initials: MC
authors.lastname: Bortolini
authors.forename: Francisco M
authors.initials: FM
authors.lastname: Salzano
authors.forename: Carla
authors.initials: C
authors.lastname: Gallo
authors.forename: Guido
authors.initials: G
authors.lastname: Mazzotti
authors.forename: Marcela
authors.initials: M
authors.lastname: Tello-Ruiz
authors.forename: Laura
authors.initials: L
authors.lastname: Riba
authors.forename: Carlos A
authors.initials: CA
authors.lastname: Aguilar-Salinas
authors.forename: Samuel
authors.initials: S
authors.lastname: Canizales-Quinteros
authors.forename: Marta
authors.initials: M
authors.lastname: Menjivar
authors.forename: William
authors.initials: W
authors.lastname: Klitz
authors.forename: Brian
authors.initials: B
authors.lastname: Henderson
authors.forename: Christopher A
authors.initials: CA
authors.lastname: Haiman
authors.forename: Cheryl
authors.initials: C
authors.lastname: Winkler
authors.forename: Teresa
authors.initials: T
authors.lastname: Tusie-Luna
authors.forename: Andres
authors.initials: A
authors.lastname: Ruiz-Linares
authors.forename: David
authors.initials: D
authors.lastname: Reich
mesh_terms: D000483:Alleles; D044383:Black People; D016022:Case-Control Studies; D002874:Chromosome Mapping; D002877:Chromosomes, Human; D003198:Computer Simulation; D030541:Databases, Genetic; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D005820:Genetic Testing; D005828:Genetics, Population; D015894:Genome, Human; D006630:Hispanic or Latino / Q000235:genetics*; D006801:Humans; D007198:Indians, North American; D015203:Reproducibility of Results; D044465:White People; D001741:Black or African American
chemical_list: D005819:Genetic Markers