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      Admixture in Latin America: Geographic Structure, Phenotypic Diversity and Self-Perception of Ancestry Based on 7,342 Individuals

      research-article
      1 , * , 1 , 1 , 2 , 3 , 4 , 4 , 5 , 5 , 2 , 6 , 2 , 6 , 6 , 6 , 7 , 7 , 7 , 1 , 1 , 7 , 8 , 9 , 9 , 10 , 11 , 12 , 13 , 13 , 14 , 7 , 7 , 7 , 6 , 15 , 5 , 4 , 1 , 3
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          Abstract

          The current genetic makeup of Latin America has been shaped by a history of extensive admixture between Africans, Europeans and Native Americans, a process taking place within the context of extensive geographic and social stratification. We estimated individual ancestry proportions in a sample of 7,342 subjects ascertained in five countries (Brazil, Chile, Colombia, México and Perú). These individuals were also characterized for a range of physical appearance traits and for self-perception of ancestry. The geographic distribution of admixture proportions in this sample reveals extensive population structure, illustrating the continuing impact of demographic history on the genetic diversity of Latin America. Significant ancestry effects were detected for most phenotypes studied. However, ancestry generally explains only a modest proportion of total phenotypic variation. Genetically estimated and self-perceived ancestry correlate significantly, but certain physical attributes have a strong impact on self-perception and bias self-perception of ancestry relative to genetically estimated ancestry.

          Author Summary

          Latin America has a history of extensive mixing between Native Americans and people arriving from Europe and Africa. As a result, individuals in the region have a highly heterogeneous genetic background and show great variation in physical appearance. Latin America offers an excellent opportunity to examine the genetic basis of the differentiation in physical appearance between Africans, Europeans and Native Americans. The region is also an advantageous setting in which to examine the interplay of genetic, physical and social factors in relation to ethnic/racial self-perception. Here we present the most extensive analysis of genetic ancestry, physical diversity and self-perception of ancestry yet conducted in Latin America. We find significant geographic variation in ancestry across the region, this variation being consistent with demographic history and census information. We show that genetic ancestry impacts many aspects of physical appearance. We observe that self-perception is highly influenced by physical appearance, and that variation in physical appearance biases self-perception of ancestry relative to genetically estimated ancestry.

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          Fast model-based estimation of ancestry in unrelated individuals.

          Population stratification has long been recognized as a confounding factor in genetic association studies. Estimated ancestries, derived from multi-locus genotype data, can be used to perform a statistical correction for population stratification. One popular technique for estimation of ancestry is the model-based approach embodied by the widely applied program structure. Another approach, implemented in the program EIGENSTRAT, relies on Principal Component Analysis rather than model-based estimation and does not directly deliver admixture fractions. EIGENSTRAT has gained in popularity in part owing to its remarkable speed in comparison to structure. We present a new algorithm and a program, ADMIXTURE, for model-based estimation of ancestry in unrelated individuals. ADMIXTURE adopts the likelihood model embedded in structure. However, ADMIXTURE runs considerably faster, solving problems in minutes that take structure hours. In many of our experiments, we have found that ADMIXTURE is almost as fast as EIGENSTRAT. The runtime improvements of ADMIXTURE rely on a fast block relaxation scheme using sequential quadratic programming for block updates, coupled with a novel quasi-Newton acceleration of convergence. Our algorithm also runs faster and with greater accuracy than the implementation of an Expectation-Maximization (EM) algorithm incorporated in the program FRAPPE. Our simulations show that ADMIXTURE's maximum likelihood estimates of the underlying admixture coefficients and ancestral allele frequencies are as accurate as structure's Bayesian estimates. On real-world data sets, ADMIXTURE's estimates are directly comparable to those from structure and EIGENSTRAT. Taken together, our results show that ADMIXTURE's computational speed opens up the possibility of using a much larger set of markers in model-based ancestry estimation and that its estimates are suitable for use in correcting for population stratification in association studies.
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            Common SNPs explain a large proportion of the heritability for human height.

            SNPs discovered by genome-wide association studies (GWASs) account for only a small fraction of the genetic variation of complex traits in human populations. Where is the remaining heritability? We estimated the proportion of variance for human height explained by 294,831 SNPs genotyped on 3,925 unrelated individuals using a linear model analysis, and validated the estimation method with simulations based on the observed genotype data. We show that 45% of variance can be explained by considering all SNPs simultaneously. Thus, most of the heritability is not missing but has not previously been detected because the individual effects are too small to pass stringent significance tests. We provide evidence that the remaining heritability is due to incomplete linkage disequilibrium between causal variants and genotyped SNPs, exacerbated by causal variants having lower minor allele frequency than the SNPs explored to date.
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              Worldwide human relationships inferred from genome-wide patterns of variation.

              Human genetic diversity is shaped by both demographic and biological factors and has fundamental implications for understanding the genetic basis of diseases. We studied 938 unrelated individuals from 51 populations of the Human Genome Diversity Panel at 650,000 common single-nucleotide polymorphism loci. Individual ancestry and population substructure were detectable with very high resolution. The relationship between haplotype heterozygosity and geography was consistent with the hypothesis of a serial founder effect with a single origin in sub-Saharan Africa. In addition, we observed a pattern of ancestral allele frequency distributions that reflects variation in population dynamics among geographic regions. This data set allows the most comprehensive characterization to date of human genetic variation.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                September 2014
                25 September 2014
                : 10
                : 9
                : e1004572
                Affiliations
                [1 ]Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
                [2 ]National Institute of Anthropology and History, México City, México
                [3 ]Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
                [4 ]Universidad de Antioquia, Medellín, Colombia
                [5 ]Instituto de Alta Investigación Universidad de Tarapacá, Programa de Genética Humana ICBM Facultad de Medicina Universidad de Chile and Centro de Investigaciones del Hombre en el Desierto, Arica, Chile
                [6 ]Facultad de Medicina and Facultad de Química, UNAM, México City, México
                [7 ]Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil
                [8 ]Remote Sensing and Digital Imaging Laboratory, Graduate Program on Geology, Vale do Rio dos Sinos University, São Leopoldo, Brazil
                [9 ]The Institute for Fiscal Studies, London, United Kingdom
                [10 ]Department of Economics, University College London, United Kingdom
                [11 ]Department of Anthropology, University College London, London, United Kingdom
                [12 ]Institute for Environmental Sciences, University of Geneva, Carouge, Switzerland
                [13 ]Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Perúana Cayetano Heredia, Lima, Perú
                [14 ]Departamento de Antropología. Facultad de Ciencias Sociales y Humanas. Universidad de Antioquia, Medellín, Colombia
                [15 ]Instituto Nacional de Ciencias Médicas y Nutrición “Salvador Zubirán”, México City, México
                University of Chicago, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: ARL RGJ DB GB JR CG GP FR JGV VAA SG. Performed the experiments: CJ WA VAA MQS MF MP PE GP FdA JGV PLM TH VR CCSdC MWB EK. Analyzed the data: ARL KA RGJ MQS MZdO MRV MRC OA NR. Contributed reagents/materials/analysis tools: CJ WA GB MF MP PE FdA JGV PLM VAA TH VR CCSdC MWB LSF FMS MCB SCQ. Wrote the paper: ARL KA.

                Article
                PGENETICS-D-13-01796
                10.1371/journal.pgen.1004572
                4177621
                25254375
                0fa9239f-2de2-4a10-b146-1ef3bcf2c427
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 4 July 2013
                : 1 July 2014
                Page count
                Pages: 13
                Funding
                This work was funded by grants from the Leverhulme Trust (F/07 134/DF to ARL) and BBSRC (BB/I021213/1 to ARL). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Human Genetics

                Genetics
                Genetics

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