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Geographic Patterns of Genome Admixture in Latin American Mestizos

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TLDR
An analysis of admixture in thirteen Mestizo populations from seven countries in Latin America based on data for 678 autosomal and 29 X-chromosome microsatellites found extensive variation in Native American and European ancestry among populations and individuals and evidence that admixture across Latin America has often involved predominantly European men and both Native and African women.
Abstract
The large and diverse population of Latin America is potentially a powerful resource for elucidating the genetic basis of complex traits through admixture mapping. However, no genome-wide characterization of admixture across Latin America has yet been attempted. Here, we report an analysis of admixture in thirteen Mestizo populations (i.e. in regions of mainly European and Native settlement) from seven countries in Latin America based on data for 678 autosomal and 29 X-chromosome microsatellites. We found extensive variation in Native American and European ancestry (and generally low levels of African ancestry) among populations and individuals, and evidence that admixture across Latin America has often involved predominantly European men and both Native and African women. An admixture analysis allowing for Native American population subdivision revealed a differentiation of the Native American ancestry amongst Mestizos. This observation is consistent with the genetic structure of pre-Columbian populations and with admixture having involved Natives from the area where the Mestizo examined are located. Our findings agree with available information on the demographic history of Latin America and have a number of implications for the design of association studies in population from the region.

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Citations
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Shared HLA Class II in Six Autoimmune Diseases in Latin America: A Meta-Analysis

TL;DR: Results indicate that in Latin Americans ADs share major loci and immune characteristics, and opposite associations were found between multiple sclerosis (MS) and T1D.
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Analysis of Population Substructure in Two Sympatric Populations of Gran Chaco, Argentina

TL;DR: By reconstructing the genetic background and the structure of these two culturally different populations, the pattern of admixture, the correspondence between genealogical and genetic relationships, this integrated perspective had the power to validate data and to link the gap usually relying on a singular discipline.
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Admixed ancestry and stratification of Quebec regional populations.

TL;DR: The results demonstrate that the study of deep ascending genealogies can accurately reveal population structure and highlight the importance of considering the geographic origin of samples in the design of genetic epidemiology studies conducted in Quebec.
References
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Journal ArticleDOI

Inference of population structure using multilocus genotype data

TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
Journal ArticleDOI

Inference of Population Structure Using Multilocus Genotype Data: Linked Loci and Correlated Allele Frequencies

TL;DR: Extensions to the method of Pritchard et al. for inferring population structure from multilocus genotype data are described and methods that allow for linkage between loci are developed, which allows identification of subtle population subdivisions that were not detectable using the existing method.
Journal ArticleDOI

Genetic Data Analysis II.

Bruce S. Weir
- 01 Mar 1997 - 
Journal ArticleDOI

Estimating African American admixture proportions by use of population-specific alleles.

TL;DR: Significant nonrandom association between two markers located 22 cM apart (FY-null and AT3) is detected, most likely due to admixture linkage disequilibrium created in the interbreeding of the two parental populations, emphasize the importance of admixed populations as a useful resource for mapping traits with different prevalence in two parental population.
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