Ancestral Proportions Research Articles

The 22Rv1 prostate cancer cell line carries mixed genetic ancestry: Implications for prostate cancer health disparities research using pre-clinical models.

Understanding how biological factors contribute to prostate cancer (PCa) health disparities requires mechanistic functional analysis of specific genes or pathways in pre-clinical cellular and animal models of this malignancy. The 22Rv1 human prostatic carcinoma cell line was originally derived from the parental CWR22R cell line. Although 22Rv1 has been well characterized and used in numerous mechanistic studies, no racial identifier has ever been disclosed for this cell line. In accordance with the need for racial diversity in cancer biospecimens and recent guidelines by the NIH on authentication of key biological resources, we sought to determine the ancestry of 22RV1 and authenticate previously reported racial identifications for four other PCa cell lines. We used 29 established Ancestry Informative Marker (AIM) single nucleotide polymorphisms (SNPs) to conduct DNA ancestry analysis and assign ancestral proportions to a panel of five PCa cell lines that included 22Rv1, PC3, DU145, MDA-PCa-2b, and RC-77T/E. We found that 22Rv1 carries mixed genetic ancestry. The main ancestry proportions for this cell line were 0.41 West African (AFR) and 0.42 European (EUR). In addition, we verified the previously reported racial identifications for PC3 (0.73 EUR), DU145 (0.63 EUR), MDA-PCa-2b (0.73 AFR), and RC-77T/E (0.74 AFR) cell lines. Considering the mortality disparities associated with PCa, which disproportionately affect African American men, there remains a burden on the scientific community to diversify the availability of biospecimens, including cell lines, for mechanistic studies on potential biological mediators of these disparities. This study is beneficial by identifying another PCa cell line that carries substantial AFR ancestry. This finding may also open the door to new perspectives on previously published studies using this cell line.

500 years later: Understanding the genetic ancestry of the southeast region, brazil

The Southeast region of Brazil is the main economic region, the most populous and with the major cultural and genetic miscegenation of the country. Due to its historical context, it mainly includes descendants of Portuguese and Italians, but also has strong influence of Native americans, Africans, Spaniards and Germans. The influence of Arabs and Asians is very small. In this work, the ancestral proportions of the population of the Southeast region were evaluated through a genetic data compilation with diverse markers (Y-SNPs, AIM-INDELs, mtDNA and X-INDELs) in individuals from the states of São Paulo, Rio de Janeiro, Minas Gerais and Espírito Santo, which form this region. The proportion of paternal lineages (Y-SNPs) with European origin is much higher (86.57%), being 10.86% of African origin and 1.98% native American. Instead, the proportion of African origin (44.1%) predominates in the maternal lineages (mtDNA), followed by Native American with 29.2%, European with 26.2% and only 0.5% for Asian. With the autosomal AIM-INDELs the ancestral proportion obtained was 59.12% European, 28.12% African and 12.76% Native American. The autosomal chromosomes tend to reflect an average between the ancestry proportions of the Y chromosome and mtDNA. No Asian ancestry was identified with these markers. In preliminary analyzes with X-INDELs in samples from São Paulo, we found the following ancestral proportions: 29.4% African, 49.7% European and 20.9% Native American. This genetic miscegenation occurred since the formation of this region, when Portuguese colonizers mated with native women and later with slaves brought from Africa.

Evaluation of ancestral membership proportions and genotype distribution in the perception of Umami taste in Ecuadorian mestizos

Genetic variation to flavor perception contributes the population differentiation, where the T allele of SNP rs307377 of TAS1R3 gene influences the levels of appreciation of monosodium glutamate (MSG), for Umami taste. The aim of this study was to evaluate the distribution of polymorphism in the perception of Umami taste, and correlate to the ancestral proportions in the mestizo Ecuadorian population. The majority of participants presented C/C genotype. The ancestry was predominantly Native American.

Genetic diversity of Mexican-Mestizo populations using 114 INDEL polymorphisms

We analyzed 154 unrelated individuals from four Mexican-Mestizo (admixed) populations with 114 INDEL loci; 68 of them have been proposed for forensic use and 46 constitute Ancestry informative markers (AIM-INDELs). Allele frequencies and genetic diversity were calculated for all these loci. The Hardy-Weinberg equilibrium was demonstrated for 113 loci, excepting the 360 locus (AIM-INDEL). Linkage disequilibrium (LD) test only showed departure for the HLD45/HLD64 combination among the 68 INDEL loci. Random match probability (RMP), power of discrimination (PD), and power of exclusion (PE) for the 68 INDELs are reported. The combined PD and PE were similar to those from STR systems: >0.999999999999999 and 0.999996089797308, respectively; whereas the RMP was <5.54×10−22. AMOVA and structure analyses showed moderated interpopulation differentiation, which support the establishment of a national DNA database for forensic casework interpretation in Mexico when using these 68 INDELs. The ancestral proportions assessed from 46 AIM-INDELs displayed differences mainly for the Native American (0.462–0.702) and European (0.487–0.254) ancestries, while the African was relatively homogeneous (0.028–0.052).

Genomic ancestry and education level independently influence abdominal fat distributions in a Brazilian admixed population.

We aimed to identify the independent associations of genomic ancestry and education level with abdominal fat distributions in the 1982 Pelotas birth cohort study, Brazil. In 2,890 participants (1,409 men and 1,481 women), genomic ancestry was assessed using genotype data on 370,539 genome-wide variants to quantify ancestral proportions in each individual. Years of completed education was used to indicate socio-economic position. Visceral fat depth and subcutaneous abdominal fat thickness were measured by ultrasound at age 29–31y; these measures were adjusted for BMI to indicate abdominal fat distributions. Linear regression models were performed, separately by sex. Admixture was observed between European (median proportion 85.3), African (6.6), and Native American (6.3) ancestries, with a strong inverse correlation between the African and European ancestry scores (ρ = -0.93; p<0.001). Independent of education level, African ancestry was inversely associated with both visceral and subcutaneous abdominal fat distributions in men (both P = 0.001), and inversely associated with subcutaneous abdominal fat distribution in women (p = 0.009). Independent of genomic ancestry, higher education level was associated with lower visceral fat, but higher subcutaneous fat, in both men and women (all p<0.001). Our findings, from an admixed population, indicate that both genomic ancestry and education level were independently associated with abdominal fat distribution in adults. African ancestry appeared to lower abdominal fat distributions, particularly in men.

A Genome-Wide Assessment of Inherited Genetic Variants and the Risk of Langerhans Cell Histiocytosis

Introduction: Langerhans cell histiocytosis (LCH) is a disease characterized by inflammatory lesions including pathologic CD207+ dendritic cells. Clinically, LCH is highly variable ranging from single lesions to highly aggressive, disseminated disease involving multiple organs and requiring intensive chemotherapy. Recent data support a model of pathogenesis in which activating somatic mutations in MAPK pathway genes arise in myeloid DC precursors. However, little is known about genetic susceptibility to this condition. Therefore, we conducted a genome-wide association study to characterize the role of inherited genetic variants on disease risk.Methods: We utilized a case-parent trio approach, which is immune to the effects of population stratification bias. Specifically, this allows for the inclusion of individuals regardless of genetic ancestry. LCH case-parent trios (n=134) were recruited from Texas Children's Cancer Center. Genotyping was performed using the Illumina Omni-5 Quad BeadChip. Genetic ancestry was determined using the bioinformatics algorithm STRUCTURE. To inform this algorithm, a set of 12,898 autosomal ancestry informative markers specifically identified to infer population substructure was extracted from the study trios. Estimated genomic ancestral proportions were then used to classify each study participant as either of European ancestry, Amerindian ancestry, or of African ancestry. For the association analysis, we focused on the role of common variants (i.e., minor allele frequency ≥5%). The association analysis was conducted utilizing the PREMIM-EMIM algorithm, an established, multinomial log-likelihood approach for assessing case-parent trios GWAS data. This method allows for the inclusion of "incomplete" trios (e.g., mother-case duos). We applied a genome-wide statistical significance cutoff of p<1.0x10-5.Results: In this GWAS, LCH cases were predominantly male (54%), and based on the genetic ancestry analysis, 60% were of European ancestry, 36% Amerindian ancestry, and 4% African ancestry. Among the 343 individuals included in the analysis, 1,672,105 SNPs autosomal SNPs were assessed and an overview of the results is displayed using a Manhattan plot. We identified five potential inherited genomic regions associated with LCH susceptibility. The strongest associations between inherited SNPs and childhood LCH were seen in SMAD6 on chromosome 15 (p-value = 2.38x10-7) and in ECE1 on chromosome 1 (p-value = 2.15x10-6).Conclusions: In this genome-wide assessment of the role of inherited genetic variation on the risk of LCH, we identified SNPs with significant effects in genes implicated in diverse pathways including embryogenesis and cellular division. Among the proteins encoded by the regions identified, SMAD6and ECE1 have both been reported to impact ERK activation, a critical feature of LCH pathogenesis. These findings support potential for inherited genetic variants to influence risk of developing LCH. DisclosuresAllen:NovImmune: Consultancy, Other: unpaid; Roche: Consultancy, Other: unpaid.

Forensic performance of Investigator DIPplex indels genotyping kit in native, immigrant, and admixed populations in South Africa.

The utilization of binary markers in human individual identification is gaining ground in forensic genetics. We analyzed the polymorphisms from the first commercial indel kit Investigator DIPplex (Qiagen) in 512 individuals from Afrikaner, Indian, admixed Cape Colored, and the native Bantu Xhosa and Zulu origin in South Africa and evaluated forensic and population genetics parameters for their forensic application in South Africa. The levels of genetic diversity in population and forensic parameters in South Africa are similar to other published data, with lower diversity values for the native Bantu. Departures from Hardy-Weinberg expectations were observed in HLD97 in Indians, Admixed and Bantus, along with 6.83% null homozygotes in the Bantu populations. Sequencing of the flanking regions showed a previously reported transition G>A in rs17245568. Strong population structure was detected with Fst, AMOVA, and the Bayesian unsupervised clustering method in STRUCTURE. Therefore we evaluated the efficiency of individual assignments to population groups using the ancestral membership proportions from STRUCTURE and the Bayesian classification algorithm in Snipper App Suite. Both methods showed low cross-assignment error (0-4%) between Bantus and either Afrikaners or Indians. The differentiation between populations seems to be driven by four loci under positive selection pressure. Based on these results, we draw recommendations for the application of this kit in SA.

Eigenanalysis of SNP data with an identity by descent interpretation

Principal component analysis (PCA) is widely used in genome-wide association studies (GWAS), and the principal component axes often represent perpendicular gradients in geographic space. The explanation of PCA results is of major interest for geneticists to understand fundamental demographic parameters. Here, we provide an interpretation of PCA based on relatedness measures, which are described by the probability that sets of genes are identical-by-descent (IBD). An approximately linear transformation between ancestral proportions (AP) of individuals with multiple ancestries and their projections onto the principal components is found.In addition, a new method of eigenanalysis “EIGMIX” is proposed to estimate individual ancestries. EIGMIX is a method of moments with computational efficiency suitable for millions of SNP data, and it is not subject to the assumption of linkage equilibrium. With the assumptions of multiple ancestries and their surrogate ancestral samples, EIGMIX is able to infer ancestral proportions (APs) of individuals. The methods were applied to the SNP data from the HapMap Phase 3 project and the Human Genome Diversity Panel. The APs of individuals inferred by EIGMIX are consistent with the findings of the program ADMIXTURE.In conclusion, EIGMIX can be used to detect population structure and estimate genome-wide ancestral proportions with a relatively high accuracy.

Breast cancer risk and genetic ancestry: a case-control study in Uruguay.

BackgroundUruguay exhibits one of the highest rates of breast cancer in Latin America, similar to those of developed nations, the reasons for which are not completely understood. In this study we investigated the effect that ancestral background has on breast cancer susceptibility among Uruguayan women.MethodsWe carried out a case–control study of 328 (164 cases, 164 controls) women enrolled in public hospitals and private clinics across the country. We estimated ancestral proportions using a panel of nuclear and mitochondrial ancestry informative markers (AIMs) and tested their association with breast cancer risk.ResultsNuclear individual ancestry in cases was (mean ± SD) 9.8 ± 7.6% African, 13.2 ± 10.2% Native American and 77.1 ± 13.1% European, and in controls 9.1 ± 7.5% African, 14.7 ± 11.2% Native American and 76.2 ± 14.2% European. There was no evidence of a difference in nuclear or mitochondrial ancestry between cases and controls. However, European mitochondrial haplogroup H was associated with breast cancer (OR = 2.0; 95% CI 1.1, 3.5).ConclusionsWe have not found evidence that overall genetic ancestry differs between breast cancer patients and controls in Uruguay but we detected an association of the disease with a European mitochondrial lineage, which warrants further investigation.Electronic supplementary materialThe online version of this article (doi:10.1186/s12905-015-0171-8) contains supplementary material, which is available to authorized users.

Exploring the distribution of genetic markers of pharmacogenomics relevance in Brazilian and Mexican populations.

Studies of pharmacogenomics-related traits are increasingly being performed to identify loci that affect either drug response or susceptibility to adverse drug reactions. However, the effect of the polymorphisms can differ in magnitude or be absent depending on the population being assessed. We used the Affymetrix Drug Metabolizing Enzymes and Transporters (DMET) Plus array to characterize the distribution of polymorphisms of pharmacogenetics and pharmacogenomics (PGx) relevance in two samples from the most populous Latin American countries, Brazil and Mexico. The sample from Brazil included 268 individuals from the southeastern state of Rio de Janeiro, and was stratified into census categories. The sample from Mexico comprised 45 Native American Zapotecas and 224 self-identified Mestizo individuals from 5 states located in geographically distant regions in Mexico. We evaluated the admixture proportions in the Brazilian and Mexican samples using a panel of Ancestry Informative Markers extracted from the DMET array, which was validated with genome-wide data. A substantial variation in ancestral proportions across census categories in Brazil, and geographic regions in Mexico was identified. We evaluated the extent of genetic differentiation (measured as FST values) of the genetic markers of the DMET Plus array between the relevant parental populations. Although the average levels of genetic differentiation are low, there is a long tail of markers showing large frequency differences, including markers located in genes belonging to the Cytochrome P450, Solute Carrier (SLC) and UDP-glucuronyltransferase (UGT) families as well as other genes of PGx relevance such as ABCC8, ADH1A, CHST3, PON1, PPARD, PPARG, and VKORC1. We show how differences in admixture history may have an important impact in the distribution of allele and genotype frequencies at the population level.

Native American Ancestry, Lung Function, and COPD in Costa Ricans

Whether Native American ancestry (NAA) is associated with COPD or lung function in a racially admixed Hispanic population is unknown. We recruited 578 Costa Ricans with and without COPD into a hybrid case-control/family-based cohort, including 316 members of families of index case subjects. All participants completed questionnaires and spirometry and gave a blood sample for DNA extraction. Genome-wide genotyping was conducted with the Illumina Human610-Quad and HumanOmniExpress BeadChip kits (Illumina Inc), and individual ancestral proportions were estimated from these genotypic data and reference panels. For unrelated individuals, linear or logistic regression was used for the analysis of NAA and COPD (GOLD [Global Initiative for Chronic Obstructive Lung Disease] stage II or greater) or lung function. For extended families, linear mixed models and generalized estimating equations were used for the analysis. All models were adjusted for age, sex, educational level, and smoking behavior; models for FEV1 were also adjusted for height. The average proportion of European, Native American, and African ancestry among participants was 62%, 35%, and 3%, respectively. After adjustment for current smoking and other covariates, NAA was inversely associated with COPD (OR per 10% increment, 0.55; 95% CI, 0.41-0.75) but positively associated with FEV1, FVC, and FEV1/FVC. After additional adjustment for pack-years of smoking, the association between NAA and COPD or lung function measures was slightly attenuated. We found that about 31% of the estimated effect of NAA on COPD is mediated by pack-years of smoking. NAA is inversely associated with COPD but positively associated with FEV1 or FVC in Costa Ricans. Ancestral effects on smoking behavior partly explain the findings for COPD but not for FEV1 or FVC.

SNP variation with latitude: Analysis of the SNPforID 52-plex markers in north, mid-region and south Chilean populations

Chile is a disproportionately long and narrow country defined by the southern Andes and Pacific coastline where a level of genetic sub-structure resulting from distances of several thousand kilometers might be expected across the most distantly separated regions. Although STR databases created for the Chilean Legal Medical Service indicate an absence of sub-structure, such a characteristic requires further exploration when introducing additional forensic markers. Notably, Single Nucleotide Polymorphisms (SNPs) have a much lower mutation rate than STRs and can show more stable distributions of genetic variation if population movement is restricted. In this study we evaluated 451 Chilean urban samples from the North, North-Central, Central, South-Central and South regions of Chile for the 52 SNPs of the SNPforID forensic identification panel to explore the underlying genetic structure of Chilean populations. Results reveal similar genetic distances between groups suggesting a single SNP database for the whole of Chile is appropriate. To further understand the genetic composition of Chilean populations that comprise the bulk of individuals with both European and Native American ancestries, ancestral membership proportions were evaluated and pairwise comparisons to other American populations were made.

Genetic Analysis of 17 Y-STRs in a Mestizo Population from the Central Valley of Mexico

This study aims to portray the complex diversity of the Mexican Mestizo population, which represents 98.8% of the entire population of Mexico. We compiled extended haplotype data of the Y chromosome from populations in the Central Valley of Mexico (CVM), which we compared with other Mestizo and parental (Amerindian, European, and African) populations. A complex ancestral relationship was found in the CVM population, suggesting cosmopolitan origins. Nevertheless, the most preeminent lineages point toward a European ancestry, where the R1b lineage was most frequent. In addition, important frequencies of Amerindian lineages were also found in the Mestizo sample studied. Interestingly, the Amerindian ancestry showed a remarkable substructure, which was represented by the two main founding lineages: QL54 (× M3) and M3. However, even within each lineage a high diversity was found despite the small number of sample bearers of these lineages. Further, we detected important genetic differences between the CVM populations and the Mexican Mestizo populations from the north and south. This result points to the fact that Mestizo populations present different ancestral proportions, which are related to the demographic events that gave origin to each population. Finally, we provide additional forensic statistical parameters that are useful in the interpretation of genetic analysis where autosomal loci are limited. Our findings illustrate the complex genetic background of the Mexican Mestizo population and reinforce the need to encompass more geographic regions to generate more robust data for forensic applications.

A Method for Inferring an Individual’s Genetic Ancestry and Degree of Admixture Associated with Six Major Continental Populations

The determination of the ancestry and genetic backgrounds of the subjects in genetic and general epidemiology studies is a crucial component in the analysis of relevant outcomes or associations. Although there are many methods for differentiating ancestral subgroups among individuals based on genetic markers only a few of these methods provide actual estimates of the fraction of an individual’s genome that is likely to be associated with different ancestral populations. We propose a method for assigning ancestry that works in stages to refine estimates of ancestral population contributions to individual genomes. The method leverages genotype data in the public domain obtained from individuals with known ancestries. Although we showcase the method in the assessment of ancestral genome proportions leveraging largely continental populations, the strategy can be used for assessing within-continent or more subtle ancestral origins with the appropriate data.

Human Leukocyte Antigen Profiles of Latin American Populations: Differential Admixture and Its Potential Impact on Hematopoietic Stem Cell Transplantation

The outcome of hematopoietic stem cell transplantation (HSCT) is shaped by both clinical and genetic factors that determine its success. Genetic factors including human leukocyte antigen (HLA) and non-HLA genetic variants are believed to influence the risk of potentially fatal complications after the transplant. Moreover, ethnicity has been proposed as a factor modifying the risk of graft-versus-host disease. The populations of Latin America are a complex array of different admixture processes with varying degrees of ancestral population proportions that came in different migration waves. This complexity makes the study of genetic risks in this region complicated unless the extent of this variation is thoroughly characterized. In this study we compared the HLA-A and HLA-B allele group profiles for 31 Latin American populations and 61 ancestral populations from Iberia, Italy, Sub-Saharan Africa, and America. Results from population genetics comparisons show a wide variation in the HLA profiles from the Latin American populations that correlate with different admixture proportions. Populations in Latin America seem to be organized in at least three groups with (1) strong Amerindian admixture, (2) strong Caucasian component, and (3) a Caucasian-African gradient. These results imply that genetic risk assessment for HSCT in Latin America has to be adapted for different population subgroups rather than as a pan-Hispanic/Latino analysis.

Multiway Admixture Deconvolution Using Phased or Unphased Ancestral Panels

We describe a novel method for inferring the local ancestry of admixed individuals from dense genome-wide single nucleotide polymorphism data. The method, called MULTIMIX, allows multiple source populations, models population linkage disequilibrium between markers and is applicable to datasets in which the sample and source populations are either phased or unphased. The model is based upon a hidden Markov model of switches in ancestry between consecutive windows of loci. We model the observed haplotypes within each window using a multivariate normal distribution with parameters estimated from the ancestral panels. We present three methods to fit the model-Markov chain Monte Carlo sampling, the Expectation Maximization algorithm, and a Classification Expectation Maximization algorithm. The performance of our method on individuals simulated to be admixed with European and West African ancestry shows it to be comparable to HAPMIX, the ancestry calls of the two methods agreeing at 99.26% of loci across the three parameter groups. In addition to it being faster than HAPMIX, it is also found to perform well over a range of extent of admixture in a simulation involving three ancestral populations. In an analysis of real data, we estimate the contribution of European, West African and Native American ancestry to each locus in the Mexican samples of HapMap, giving estimates of ancestral proportions that are consistent with those previously reported.

Estimating ancestral proportions in a multi-ethnic US sample: implications for studies of admixed populations

This study was designed to determine the ancestral composition of a multi-ethnic sample collected for studies of drug addictions in New York City and Las Vegas, and to examine the reliability of self-identified ethnicity and three-generation family history data. Ancestry biographical scores for seven clusters corresponding to world major geographical regions were obtained using STRUCTURE, based on genotypes of 168 ancestry informative markers (AIMs), for a sample of 1,291 African Americans (AA), European Americans (EA), and Hispanic Americans (HA) along with data from 1,051 HGDP-CEPH ‘diversity panel’ as a reference. Self-identified ethnicity and family history data, obtained in an interview, were accurate in identifying the individual major ancestry in the AA and the EA samples (approximately 99% and 95%, respectively) but were not useful for the HA sample and could not predict the extent of admixture in any group. The mean proportions of the combined clusters corresponding to European and Middle Eastern populations in the AA sample, revealed by AIMs analysis, were 0.13. The HA subjects, predominantly Puerto Ricans, showed a highly variable hybrid contribution pattern of clusters corresponding to Europe (0.27), Middle East (0.27), Africa (0.20), and Central Asia (0.14). The effect of admixture on allele frequencies is demonstrated for two single-nucleotide polymorphisms (118A > G, 17 C > T) of the mu opioid receptor gene (OPRM1). This study reiterates the importance of AIMs in defining ancestry, especially in admixed populations.

Inferring separate parental admixture components in unknown DNA samples using autosomal SNPs

The identification of ancestral admixture proportions for human DNA samples has recently had success in forensic cases. Current methods infer admixture proportions for the target sample, but not for their parents, which provides an additional layer of information that may aid certain forensic investigations. We describe new maximum likelihood methods (LEAPFrOG and LEAPFrOG Expectation Maximisation), for inferring both an individual's admixture proportions and the admixture proportions possessed by the unobserved parents, with respect to two or more source populations, using single-nucleotide polymorphism data typed only in the target individual. This is achieved by examining the increase in heterozygosity in the offspring of parents who are from different populations or who represent different mixtures from a number of source populations. We validated the methods via simulation; combining chromosomes from different Hapmap Phase III population samples to emulate first-generation admixture. Performance was strong for individuals with mixed African/European (YRI/CEU) ancestry, but poor for mixed Japanese/Chinese (JPT/CHB) ancestry, reflecting the difficulty in distinguishing closely related source populations. A total of 11 African-American trios were used to compare the parental admixture inferred from their own genotypes against that inferred purely from their offspring genotypes. We examined the performance of 34 ancestry informative markers from a multiplex kit for ancestry inference. Simulations showed that estimates were unreliable when parents had similar admixture, suggesting more markers are needed. Our results demonstrate that ancestral backgrounds of case samples and their parents are obtainable to aid in forensic investigations, provided that high-throughput methods are adopted by the forensic community.

Development of a Panel of Genome-Wide Ancestry Informative Markers to Study Admixture Throughout the Americas

Most individuals throughout the Americas are admixed descendants of Native American, European, and African ancestors. Complex historical factors have resulted in varying proportions of ancestral contributions between individuals within and among ethnic groups. We developed a panel of 446 ancestry informative markers (AIMs) optimized to estimate ancestral proportions in individuals and populations throughout Latin America. We used genome-wide data from 953 individuals from diverse African, European, and Native American populations to select AIMs optimized for each of the three main continental populations that form the basis of modern Latin American populations. We selected markers on the basis of locus-specific branch length to be informative, well distributed throughout the genome, capable of being genotyped on widely available commercial platforms, and applicable throughout the Americas by minimizing within-continent heterogeneity. We then validated the panel in samples from four admixed populations by comparing ancestry estimates based on the AIMs panel to estimates based on genome-wide association study (GWAS) data. The panel provided balanced discriminatory power among the three ancestral populations and accurate estimates of individual ancestry proportions (R2>0.9 for ancestral components with significant between-subject variance). Finally, we genotyped samples from 18 populations from Latin America using the AIMs panel and estimated variability in ancestry within and between these populations. This panel and its reference genotype information will be useful resources to explore population history of admixture in Latin America and to correct for the potential effects of population stratification in admixed samples in the region.

Wide Disparity in Genetic Admixture Among Mexican Americans from San Antonio, TX

We studied 706 participants of the San Antonio Family Diabetes Study (SAFDS) and 586 male samples from the San Antonio Center for Biomarkers of Risk of Prostate Cancer (SABOR) and used 64 ancestry informative markers to compare admixture proportions between both groups. Existence of population substructure was demonstrated by the excess association of unlinked markers. In the SAFDS sample, ancestral proportions were estimated at 50.2 ± 0.6% European, 46.4 ± 0.6% Native American, and 3.1 ± 0.2% West African. For the SABOR sample, the proportions were 58.9 ± 0.7%, 38.2 ± 0.7%, and 2.9 ± 0.2%, respectively. Additionally, in the SAFDS subjects a highly significant negative correlation was found between individual Native American ancestry and skin reflectance (R(2) = 0.07, P= 0.00006). The correlation was stronger in males than in females but clearly showed that ancestry only accounts for a small percentage of the variation in skin color and, conversely, that skin reflectance is not a robust surrogate for genetic admixture. Furthermore, a substantial difference in substructure is present in the two cohorts of Mexican American subjects from the San Antonio area in Texas, which emphasizes that genetic admixture estimates should be accounted for in association studies, even for geographically related subjects.