Population structure and admixture are key confounders in genome-wide association and medical resequencing studies. In particular, accounting for difference in ancestry among cases and controls, both in terms of genomic and geographic location, is critical for proper analysis and interpretation of studies with multi- and trans-ethnic samples. Genomic studies of Hispanics/Latinos, the largest and fastest growing minority group in the US, reveal that they are a highly genetically heterogeneous admixed group with immense variation among individuals and populations in the proportions of African, European, and Native American ancestry. Furthermore, while Mexican populations have been characterized genomically to some extent, genetic studies of populations from the Caribbean and South America have been largely underrepresented. Knowledge of the underlying complex genetic structure of US Hispanic/Latino and Caribbean populations is, therefore, essential to ensuring robustness of genotype-phenotype associations and understanding the medical relevance of associated variants across diverse populations in the US and throughout the Americas. Furthermore, since much is known about the African and European migrations into the Americas over the past 500 years, population genetic studies of Hispanics/Latinos serve as an excellent model for developing novel algorithms and approaches for characterizing fine-scale genetic structure of admixed populations, in general. This project will extend current studies of population genetic structure in US Hispanics/Latinos by densely genotyping 180 parent-offspring triads and sequencing the genomes of 30 triads from six U.S. populations of Caribbean- descent: Puerto Rico, Cuba, Dominican Republic, Haiti, Honduras and Colombia. We will combine the SNP, CNV, and whole genome sequence (WGS) data with other publically available genomic resources including the International HapMap project and the 1000 Genomes project to understand the complex genetic architecture of Hispanic/Latino populations in the US. We will accomplish this goal through the following specific aims: 1) Generate dense SNP genotype data across our sample of 180 triads using the Affymetrix 6.0 whole genome SNP chip (~1 million SNPs and CNVs), 2) Generate high coverage WGS data and build the complete genomes of 30 triads (5 from each of 6 populations) to at least 20X coverage, 3) Characterize population structure and admixture in our US Hispanic/Latino triads based on SNP genotype and WGS data including comparison to HapMap and 1000G data, and Aim 4) Assess and account for the impact of substructure on disease-association tests in order to improve the next generation of trans and multi-ethnic medical genomic studies. Our project is highly significant because it will provide immediate insights and new statistical methods to improve study design and genetic analysis for medical genomic studies in Hispanics/Latinos, other complex admixed groups, and multi- and trans-ethnic studies.

Public Health Relevance

Project Narrative The proposed research is relevant to public health because we develop novel approaches for using genetic diversity within and among US Hispanic/Latino populations to improve the success of medical genetic studies in this growing segment of the US population. We will use Hispanic/Latinos as a model system to develop next-generation methods that can be used to infer continental and subcontinental ancestry from genetic data. This study promises to develop critical knowledge that will transform the way we conduct genetic studies in populations with complex admixture allowing us to identify genetic causes and ultimately diagnose and treat genetic disease in the US, particularly in underrepresented and critically underserved groups such as African- Americans and Hispanics/Latinos.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM090087-01A1
Application #
8108971
Study Section
Special Emphasis Panel (ZRG1-GGG-F (02))
Program Officer
Krasnewich, Donna M
Project Start
2011-09-01
Project End
2015-08-31
Budget Start
2011-09-01
Budget End
2012-08-31
Support Year
1
Fiscal Year
2011
Total Cost
$388,827
Indirect Cost
Name
University of Miami School of Medicine
Department
Genetics
Type
Schools of Medicine
DUNS #
052780918
City
Coral Gables
State
FL
Country
United States
Zip Code
33146
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Poznik, G David; Xue, Yali; Mendez, Fernando L et al. (2016) Punctuated bursts in human male demography inferred from 1,244 worldwide Y-chromosome sequences. Nat Genet 48:593-9
Page, Joshua; Constantino, John Nicholas; Zambrana, Katherine et al. (2016) Quantitative autistic trait measurements index background genetic risk for ASD in Hispanic families. Mol Autism 7:39
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Moreno-Estrada, Andrés; Gignoux, Christopher R; Fernández-López, Juan Carlos et al. (2014) Human genetics. The genetics of Mexico recapitulates Native American substructure and affects biomedical traits. Science 344:1280-5

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