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Abstract

We estimated local ancestry on the autosomes and X chromosome in a large US-based study of 12,793 Hispanic/Latino individuals using the RFMix method, and we compared different reference panels and approaches to local ancestry estimation on the X chromosome by means of Mendelian inconsistency rates as a proxy for accuracy. We developed a novel and straightforward approach to performing ancestry-specific PCA after finding artifactual behavior in the results from an existing approach. Using the ancestry-specific PCA, we found significant population structure within African, European, and Amerindian ancestries in the Hispanic/Latino individuals in our study. In the African ancestral component of the admixed individuals, individuals whose grandparents were from Central America clustered separately from individuals whose grandparents were from the Caribbean, and also from reference Yoruba and Mandenka West African individuals. In the European component, individuals whose grandparents were from Puerto Rico diverged partially from other background groups. In the Amerindian ancestral component, individuals clustered into multiple different groups depending on the grandparental country of origin. Therefore, local ancestry estimation provides further insight into the complex genetic structure of US Hispanic/Latino populations, which must be properly accounted for in genotype-phenotype association studies. It also provides a basis for admixture mapping and ancestry-specific allele frequency estimation, which are useful in the identification of risk factors for disease.

Details

Title
Local Ancestry Inference in a Large US-Based Hispanic/Latino Study: Hispanic Community Health Study/Study of Latinos (HCHS/SOL)
Author
Browning, Sharon R 1 ; Grinde, Kelsey 2 ; Plantinga, Anna 2 ; Gogarten, Stephanie M 2 ; Stilp, Adrienne M 2 ; Kaplan, Robert C 3 ; Avilés-Santa, M Larissa 4 ; Browning, Brian L 5 ; Laurie, Cathy C 2 

 Department of Biostatistics, University of Washington, Seattle, Washington 98195; Department of Biostatistics, University of Washington, Seattle, Washington 98195 
 Department of Biostatistics, University of Washington, Seattle, Washington 98195 
 Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York 10461 
 Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892 
 Department of Biostatistics, University of Washington, Seattle, Washington 98195; Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington 98195 
Pages
1525-1534
Publication year
2016
Publication date
Jun 1, 2016
Publisher
Oxford University Press
e-ISSN
21601836
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3169750940
Copyright
© 2016 Browning et al..