A panel of ancestry informative markers for estimating individual biogeographical ancestry and admixture from four continents: utility and applications

Autosomal ancestry informative markers (AIMs) are useful for inferring individual biogeographical ancestry (I-BGA) and admixture. Ancestry estimates obtained from Y and mtDNA are useful for reconstructing population expansions and migrations in our recent past but individual genomic admixture estimates are useful to test for association of admixture with phenotypes, as covariate in association studies to control for stratification and, in forensics, to estimate certain overt phenotypes from ancestry. We have developed a panel of 176 autosomal AIMs that can effectively distinguish I-BGA and admixture proportions from four continental ancestral populations: Europeans, West Africans, Indigenous Americans, and East Asians. We present allele frequencies for these AIMs in all four ancestral populations and use them to assess the global apportionment of I-BGA and admixture diversity among some extant populations. We observed patterns of apportionment similar to those described previously using sex and autosomal markers, such as European admixture for African Americans (14.3%) and Mexicans (43.2%), European (65.5%) and East Asian affiliation (27%) for South Asians, and low levels of African admixture (2.8-10.8%) mirroring the distribution of Y E3b haplogroups among various Eurasian populations. Using simulation studies and pedigree analysis we show that I-BGA estimates obtained using this panel and a four-population model has a high degree of precision (average root mean square error [RMSE]=0.026). Using ancestry-phenotype associations we demonstrate that a large and informative AIM panel such as this can help reduce false-positive and false-negative associations between phenotypes and admixture proportions, which may result when using a smaller panel of less informative AIMs.     

A Small Number of Candidate Gene SNPs Reveal Continental Ancestry in African Americans

Using genetic data from an obesity candidate gene study of self‐reported African Americans and European Americans, we investigated the number of Ancestry Informative Markers (AIMs) and candidate gene SNPs necessary to infer continental ancestry. Proportions of African and European ancestry were assessed with STRUCTURE (K = 2), using 276 AIMs. These reference values were compared to estimates derived using 120, 60, 30, and 15 SNP subsets randomly chosen from the 276 AIMs and from 1144 SNPs in 44 candidate genes. All subsets generated estimates of ancestry consistent with the reference estimates, with mean correlations greater than 0.99 for all subsets of AIMs, and mean correlations of 0.99 ± 0.003; 0.98 ± 0.01; 0.93 ± 0.03; and 0.81 ± 0.11 for subsets of 120, 60, 30, and 15 candidate gene SNPs, respectively. Among African Americans, the median absolute difference from reference African ancestry values ranged from 0.01 to 0.03 for the four AIMs subsets and from 0.03 to 0.09 for the four candidate gene SNP subsets. Furthermore, YRI/CEU Fst values provided a metric to predict the performance of candidate gene SNPs. Our results demonstrate that a small number of SNPs randomly selected from candidate genes can be used to estimate admixture proportions in African Americans reliably.     

Admixture and Population Stratification in African Caribbean Populations

Throughout biomedical research, there is growing interest in the use of ancestry informative markers (AIMs) to deconstruct racial categories into useful variables. Studies on recently admixed populations have shown significant population substructure due to differences in individual ancestry; however, few studies have examined Caribbean populations. Here we used a panel of 28 AIMs to examine the genetic ancestry of 298 individuals of African descent from the Caribbean islands of Jamaica, St. Thomas and Barbados. Differences in global admixture were observed, with Barbados having the highest level of West African ancestry (89.6%± 2.0) and the lowest levels of European (10.2%± 2.2) and Native American ancestry (0.2%± 2.0), while Jamaica possessed the highest levels of European (12.4%± 3.5) and Native American ancestry (3.2%± 3.1). St. Thomas, USVI had ancestry levels quite similar to African Americans in continental U.S. (86.8%± 2.2 West African, 10.6%± 2.3 European, and 2.6%± 2.1 Native American). Significant substructure was observed in the islands of Jamaica and St. Thomas but not Barbados (K=1), indicating that differences in population substructure exist across these three Caribbean islands. These differences likely stem from diverse colonial and historical experiences, and subsequent evolutionary processes. Most importantly, these differences may have significant ramifications for case-control studies of complex disease in Caribbean populations.     

A panel of ancestry informative markers to estimate and correct potential effects of population stratification in Han Chinese

Population stratification acts as a confounding factor in genetic association studies and may lead to false-positive or false-negative results. Previous studies have analyzed the genetic substructures in Han Chinese population, the largest ethnic group in the world comprising ∼20% of the global human population. In this study, we examined 5540 Han Chinese individuals with about 1 million single-nucleotide polymorphisms (SNPs) and screened a panel of ancestry informative markers (AIMs) to facilitate the discerning and controlling of population structure in future association studies on Han Chinese. Based on genome-wide data, we first confirmed our previous observation of the north–south differentiation in Han Chinese population. Second, we developed a panel of 150 validated SNP AIMs to determine the northern or southern origin of each Han Chinese individual. We further evaluated the performance of our AIMs panel in association studies in simulation analysis. Our results showed that this AIMs panel had sufficient power to discern and control population stratification in Han Chinese, which could significantly reduce false-positive rates in both genome-wide association studies (GWAS) and candidate gene association studies (CGAS). We suggest this AIMs panel be genotyped and used to control and correct population stratification in the study design or data analysis of future association studies, especially in CGAS which is the most popular approach to validate previous reports on genetic associations of diseases in post-GWAS era.     

Ancestry Informative Marker Panel to Estimate Population Stratification Using Genome‐wide Human Array

Case‐control studies are a powerful strategy to identify candidate genes in complex diseases. In admixed populations, association studies can be affected by population stratification, leading to spurious genetic associations. Ancestry informative markers (AIMs) can be used to minimise this effect. The aim of this work was to select a set of AIMs to estimate population stratification in a Brazilian case‐control study performed using a genome‐wide array. A total of 345 single nucleotide polymorphism (SNP) AIMs, selected from the Cytoscan HD array and based on previously reported panels, was used to discriminate between European, African, and Amerindian populations. These SNP‐AIMs were used to infer ancestry in systemic lupus erythematosus (SLE) patients (n = 23) and in healthy subjects (n = 110). Moderate population substructure was observed between SLE and control groups (F_{st =} 0.0113). Although patients and controls have shown a major European genomic contribution, significant differences in the European (P = 6.47 × 10^?5) and African (P = 1.14 × 10^?3) ancestries were detected between the two groups. We performed a two‐step validation of the 345 SNP‐AIMs panel estimating the ancestral contributions using a panel of 12 AIMs and approximately 70K SNPs from the array. Evaluation of population substructure in case‐control studies, avoiding spurious genetic associations, can be performed using our panel of 345 SNP‐AIMs.     

Evaluating self-declared ancestry of U.S. Americans with autosomal, Y-chromosomal and mitochondrial DNA

The current U.S. population represents an amalgam of individuals originating mainly from four continental regions (Africa, Europe, Asia and America). To study the genetic ancestry and compare with self-declared ancestry we have analyzed paternally, maternally and bi-parentally inherited DNA markers sensitive for indicating continental genetic ancestry in all four major U.S. American groups. We found that self-declared U.S. Hispanics and U.S. African Americans tend to show variable degrees of continental genetic admixture among the three genetic systems, with evidence for a marked sex-biased admixture history. Moreover, for these two groups we observed significant regional variation across the country in genetic admixture. In contrast, self-declared U.S. European and U.S. Asian Americans were genetically more homogeneous at the continental ancestry level. Two autosomal ancestry-sensitive markers located in skin pigmentation candidate genes showed significant differences in self-declared U.S. African Americans or U.S. European Americans, relative to their assumed parental populations from Africa or Europe. This provides genetic support for the importance of skin color in the complex process of ancestry identification.     

Optimization of a pentaplex panel for MSI analysis without control DNA in a Brazilian population: correlation with ancestry markers

Microsatellite instability (MSI) testing has been advocated for all newly diagnosed colorectal cancer patients. One of the most common tests is composed by a pentaplex panel of mononucleotides markers (NR-27, NR-21, NR-24, BAT-25, and BAT-26), which allows the analysis of MSI in tumors without the need of reference DNA. For that, it is fundamental to establish a quasi-monomorphic variation range (QMVR) for each marker. Herein, we aimed to establish the QMVR in a Brazilian healthy population, to evaluate the feasibility of MSI determination of tumors, without the matching normal DNA. Furthermore, we intend to assess their ancestry using specific ancestry-informative markers (AIMs) and correlate with QMVR. The QMVR was assessed in 214 individuals, through a pentaplex PCR followed by fragment analysis. The ancestry analysis was done by 46 AIMs in a single multiplex PCR followed by capillary electrophoresis. Following QMVR establishment, we observed 23 individuals with alleles outside the QMVR. Importantly, none of them exhibited more than one marker outside the range. Therefore, individuals with instability at ≥2 markers would be accurately classified as MSI. The European ancestry proportion was the most frequent (67.5%), followed by the African (19.6%). The comparison of the individuals with alleles within (n=191) and outside (n=23) the QMVR showed statistical difference in the proportions of European and African alleles, confirming the higher polymorphic nature of African ancestry. In conclusion, the present study reports an accurate methodology to assess MSI status without matched-normal DNA and independently of the ethnicity, even in the highly admixed population of Brazil.     

Book review of Encyclopedia of Evolution. Edited by Mark Pagel. (Oxford: Oxford University Press, 2002), 2 vols [ pp. 1234]. ISBN: 0-19-512200-3. £200 hdbk.

The Brazilian population is highly heterogeneous as a result of five centuries of inter-ethnic mating between native Amerindians, European colonizers and Africans arrived during slavery. This study aimed to assess the proportions of inter-ethnic admixture in the Brazilian population of Rio de Janeiro using autosomal Ancestry-Informative Markers (AIMs). The autosomal data were also compared to the results expected from uniparental genetic markers. A total of 413 individuals were genotyped for 46 AIM-Indels and ancestry estimates were then assessed using HGDP-CEPH samples as ancestral reference. Individuals from Rio de Janeiro presented highly diverse admixture patterns. The global admixture estimates showed a predominantly European ancestry, above 55%, followed by African and Amerindian contributions. A separate self-declared Afro-descendant group also included in this study revealed an increased African ancestry, from ～30% to ～50%. The inter-ethnic admixture landscape of Rio de Janeiro captured by autosomal AIM-Indels is in agreement with historical records and similar to that expected from uniparental mtDNA and Y-chromosome information. The AIM-Indel panel proved to be a rapid strategy to estimate autosomal genetic ancestry at individual and population levels in Rio de Janeiro, which is useful in population genetics and in case-control association studies.     

Impact of population admixture on the distribution of immune response co-stimulatory genes polymorphisms in a Brazilian population

Co-stimulatory molecules are essential in the orchestration of immune response and polymorphisms in their genes are associated with various diseases. However, in the case of variable allele frequencies among continental populations, this variation can lead to biases in genetic studies conducted in admixed populations such as those from Brazil. The aim of this study was to evaluate the influence of genomic ancestry on distributions of co-stimulatory genes polymorphisms in an admixed Brazilian population. A total of 273 individuals from the north of Brazil participated in this study. Nine single nucleotide polymorphisms in 7 genes (CD28, CTLA4, ICOS, CD86, CD40, CD40L and BLYS) were determined by polymerase chain reaction-restriction fragment length polymorphism. We also investigated 48 insertion/deletion ancestry markers to characterize individual African, European and Amerindian ancestry proportions in the samples. The analysis showed that the main contribution was European (43.9%) but also a significant contribution of African (31.6%) and Amerindian (24.5%) ancestry. ICOS, CD40L and CD86 polymorphisms were associated with genomic ancestry. However there were no significant differences in the proportions of ancestry for the other SNPs and haplotypes studied. Our findings reinforce the need to apply AIMs in genetic association studies involving these polymorphisms in the Brazilian population.     

Admixture in the Hispanics of the San Luis Valley, Colorado, and its implications for complex trait gene mapping

Hispanic populations are a valuable resource that can and should facilitate the identification of complex trait genes by means of admixture mapping (AM). In this paper we focus on a particular Hispanic population living in the San Luis Valley (SLV) in Southern Colorado.We used a set of 22 Ancestry Informative Markers (AIMs) to describe the admixture process and dynamics in this population. AIMs are defined as genetic markers that exhibit allele frequency differences between parental populations ≥30%, and are more informative for studying admixed populations than random markers. The ancestral proportions of the SLV Hispanic population are estimated as 62.7 ± 2.1% European, 34.1 ± 1.9% Native American and 3.2 ± 1.5% West African. We also estimated the ancestral proportions of individuals using these AIMs. Population structure was demonstrated by the excess association of unlinked markers, the correlation between estimates of admixture based on unlinked marker sets, and by a highly significant correlation between individual Native American ancestry and skin pigmentation (R²= 0.082, p < 0.001). We discuss the implications of these findings in disease gene mapping efforts.     

Ancestry informative SNP panels for discriminating the major East Asian populations: Han Chinese,Japanese and Korean

Ancestry informative markers play an important role in medical genetics and forensic analyses. Several ancestry informative SNP panels have been developed and validated that can differentiate global populations into continental or major regional groups. These global panels have served as good first‐tier genetic markers; however, their performance in discriminating populations within regions appears unsatisfactory. To boost ancestry inference for regional populations, second‐tier panels with more refined discrimination power among subpopulations within each of the regions need to be developed. In East Asia, Han Chinese, Japanese, and Korean show highly similar externally visible characteristics and are genetically closely related. Reliable ancestry informative genetic markers appear invaluable in discriminating these populations. In the present study, we compiled a genome‐wide SNP dataset composing of 317,439 clean SNPs for a total of 1101 unrelated individuals from Han Chinese (817), Koreans (184), and Japanese (100). From this starting dataset, we developed a set of four nested ancestry informative SNP panels including 36, 59, 98, and 142 SNPs, respectively. The results of cross‐validation tests indicate that these panels can discriminate the Chinese Han, Japanese, and Korean populations with overall average accuracies ranging from 90% to 99%. In the further performance assessments, these panels also manifested high sensitivity and specificity. In combination with the first‐tier global panels, these second‐tier panels would contribute to medical genetics and forensic research in East Asia.     

Human leukocyte antigen class I (A,B and C) allele and haplotype variation in a South African Mixed ancestry population

South Africa has a large (∼53 million), ethnically diverse population (black African, Caucasian, Indian/Asian and Mixed ancestry) and a high disease burden (particularly HIV-1 and Mycobacterium tuberculosis). The Mixed ancestry population constitutes ∼9% of the total population and was established ∼365 years ago in the Western Cape region through interracial mixing of black Africans, Europeans and Asians. Admixed populations present unique opportunities to identify genetic factors involved in disease susceptibility. Since HLA genes are important mediators of host immunity, we investigated HLA-A, -B and -C allele and haplotype diversity in 50 healthy, unrelated individuals recruited from the Mixed ancestry population.     

The Effect of Genetic Admixture in an Association Study: Genetic Polymorphisms and Chromosome Aberrations in a Colombian Population Exposed to Organic Solvents

The human population is heterogeneous in genetic susceptibility, chromosomal instability and disease risk; all factors which depend on inherited genetic constitution and acquired nongenetic environmental and occupational factors. Recently, special attention has been directed to the identification of sources of potential bias in population studies of gene–environment interactions including genetic admixture. The aim of this study was to evaluate the effect of genetic admixture in the association of genetic polymorphisms and chromosome aberrations (CA) in a population exposed to organic solvents. We assessed genetic admixture via 34 genetic ancestry informative markers (AIMs) in 398 Colombian individuals. We report a statistically significant difference of higher CA frequency in individuals’ below‐average European component, and in individuals’ above‐average Native American component after adjusting for covariates. In addition, the confounding risk ratio values are ≥10% than the adjusted risk ratio, suggesting that population stratification is a confounding factor in this gene–environment association study. Furthermore, after adjusting for individual admixture proportions and covariates, the results demonstrate that glutathione‐S‐transferase M1 (GSTM1)‐null is associated with CA frequency increase. These results suggest that gene–environment association studies that involve recently admixed populations should take into consideration population stratification as a confounding factor and suggest GSTM1‐null as a genetic marker associated with CA frequency increase.     

An evaluation of the genetic-matched pair study design using genome-wide SNP data from the European population

Genetic matching potentially provides a means to alleviate the effects of incomplete Mendelian randomization in population-based gene–disease association studies. We therefore evaluated the genetic-matched pair study design on the basis of genome-wide SNP data (309 790 markers; Affymetrix GeneChip Human Mapping 500K Array) from 2457 individuals, sampled at 23 different recruitment sites across Europe. Using pair-wise identity-by-state (IBS) as a matching criterion, we tried to derive a subset of markers that would allow identification of the best overall matching (BOM) partner for a given individual, based on the IBS status for the subset alone. However, our results suggest that, by following this approach, the prediction accuracy is only notably improved by the first 20 markers selected, and increases proportionally to the marker number thereafter. Furthermore, in a considerable proportion of cases (76.0%), the BOM of a given individual, based on the complete marker set, came from a different recruitment site than the individual itself. A second marker set, specifically selected for ancestry sensitivity using singular value decomposition, performed even more poorly and was no more capable of predicting the BOM than randomly chosen subsets. This leads us to conclude that, at least in Europe, the utility of the genetic-matched pair study design depends critically on the availability of comprehensive genotype information for both cases and controls.     

Assessing individual interethnic admixture and population substructure using a 48–insertion‐deletion (INSEL) ancestry‐informative marker (AIM) panel

Estimating the proportions of different ancestries in admixed populations is very important in population genetics studies, and it is particularly important for detecting population substructure effects in case‐control association studies. In this work, a set of 48 ancestry‐informative insertion‐deletion polymorphisms (INDELs) were selected with the goal of efficiently measuring the proportions of three different ancestries (sub‐Saharan African, European, and Native American) in mixed populations. All selected markers can be easily analyzed via multiplex PCR and detected with standard capillary electrophoresis. A total of 593 unrelated individuals representative of European, African, and Native American parental populations were typed, as were 380 individuals from three Brazilian populations with known admixture patterns. As expected, the interethnic admixture estimates show that individuals from southern Brazil present an almost exclusively European ancestry; Afro‐descendant communities in the Amazon region, apart from the major African contribution, present some degree of admixture with Europeans and Native Americans; and a sample from Belém, in the northeastern Amazon, shows a significant contribution of the three ethnic groups, although with a greater European proportion. In summary, a panel of ancestry‐informative INDELs was optimized and proven to be a valuable tool for estimating individual and global ancestry proportions in admixed populations. The ability to accurately infer interethnic admixtures highlights the usefulness of this marker set for assessing population substructure in association studies, particularly those conducted in Brazilian and other Latin American populations sharing trihybrid ancestry patterns. Hum Mutat 31:184–190, 2010. © 2009 Wiley‐Liss, Inc.     

Turkish population structure and genetic ancestry reveal relatedness among Eurasian populations

Turkey has experienced major population movements. Population structure and genetic relatedness of samples from three regions of Turkey, using over 500,000 SNP genotypes, were compared together with Human Genome Diversity Panel (HGDP) data. To obtain a more representative sampling from Central Asia, Kyrgyz samples (Bishkek, Kyrgyzstan) were genotyped and analysed. Principal component (PC) analysis reveals a significant overlap between Turks and Middle Easterners and a relationship with Europeans and South and Central Asians; however, the Turkish genetic structure is unique. FRAPPE, STRUCTURE, and phylogenetic analyses support the PC analysis depending upon the number of parental ancestry components chosen. For example, supervised STRUCTURE (K=3) illustrates a genetic ancestry for the Turks of 45% Middle Eastern (95% CI, 42-49), 40% European (95% CI, 36-44) and 15% Central Asian (95% CI, 13-16), whereas at K=4 the genetic ancestry of the Turks was 38% European (95% CI, 35-42), 35% Middle Eastern (95% CI, 33-38), 18% South Asian (95% CI, 16-19) and 9% Central Asian (95% CI, 7-11). PC analysis and FRAPPE/STRUCTURE results from three regions in Turkey (Aydin, Istanbul and Kayseri) were superimposed, without clear subpopulation structure, suggesting sample homogeneity. Thus, this study demonstrates admixture of Turkish people reflecting the population migration patterns.     

2p24.2 (rs7552) is a susceptibility locus for nonsyndromic cleft lip with or without cleft palate in the Brazilian population

The population of Brazil is highly admixed, with each individual showing variable levels of Amerindian, European and African ancestry, which may interfere in the genetic susceptibility of known risk loci to nonsyndromic cleft lip with or without cleft palate (NSCL±P). Here, we investigated 5 reported genome‐wide loci for NSCL±P in an ancestry‐structured case‐control study containing 1697 Brazilian participants (831 NSCL±P and 866 healthy controls). SNPs rs7552 in 2q24.2, rs8049367 in 16p13.3, rs1880646, rs7406226, rs9891446 in 17p13, rs1588366 in 17q23.2 and rs73039426 in 19q13.11 were genotyped using TaqMan allelic discrimination assays and genomic ancestry was estimated using a panel of 40 biallelic short insertion/deletion polymorphic markers informative of the Brazilian population. Logistic regression analysis of the single‐markers revealed rs7552 in 2p24.2 as a susceptibility risk marker for NSCL±P, yielding an odds ratio (OR) of 1.71 (95% confidence interval (CI): 1.31‐2.24, P = 9 × 10^?6) in the homozygous state. Several SNP‐SNP interactions containing rs7552 reached significance after adjustment for multiple tests (both Bonferroni assumption and 1000 permutation test), with the most significant interaction involving the 3‐loci among rs7552, rs9891446 and rs73039426 (P = 6.1 × 10^?9 and p_{1000 permutation} = 0.001). Our study is the first to support the association of rs7552 in 2p24.2 with NSCL±P in the highly admixed Brazilian population.     

Unravelling the distinct strains of Tharu ancestry

The northern region of the Indian subcontinent is a vast landscape interlaced by diverse ecologies, for example, the Gangetic Plain and the Himalayas. A great number of ethnic groups are found there, displaying a multitude of languages and cultures. The Tharu is one of the largest and most linguistically diverse of such groups, scattered across the Tarai region of Nepal and bordering Indian states. Their origins are uncertain. Hypotheses have been advanced postulating shared ancestry with Austroasiatic, or Tibeto-Burman-speaking populations as well as aboriginal roots in the Tarai. Several Tharu groups speak a variety of Indo-Aryan languages, but have traditionally been described by ethnographers as representing East Asian phenotype. Their ancestry and intra-population diversity has previously been tested only for haploid (mitochondrial DNA and Y-chromosome) markers in a small portion of the population. This study presents the first systematic genetic survey of the Tharu from both Nepal and two Indian states of Uttarakhand and Uttar Pradesh, using genome-wide SNPs and haploid markers. We show that the Tharu have dual genetic ancestry as up to one-half of their gene pool is of East Asian origin. Within the South Asian proportion of the Tharu genetic ancestry, we see vestiges of their common origin in the north of the South Asian Subcontinent manifested by mitochondrial DNA haplogroup M43.     

Ancestral heterogeneity in a biethnic stroke population

To test for and characterize heterogeneity in ancestral contributions to individuals among a population of Mexican American (MA) and non-Hispanic white (NHW) stroke/transient ischemic attack (TIA) cases, data from a community-based stroke surveillance study in south Texas were used. Strokes/TIA cases were identified (2004-2006) with a random sample asked to provide blood. Race-ethnicity was self-reported. Thirty-three ancestry informative markers were genotyped and individual genetic admixture estimated using maximum likelihood methods. Three hypotheses were tested for each MA using likelihood ratio tests: (1) H(0) : μi = 0 (100% Native American), (2) H(0) : μi = 1.00 (100% European), (3) H(0) : μi = 0.59 (average European). Among 154 self-identified MAs, estimated European ancestry varied from 0.26 to 0.98, with an average of 0.59 (SE = 0.014). We rejected hypothesis 1 for every MA and rejected hypothesis 2 for all but two MAs. We rejected hypothesis 3 for 40 MAs (20 < 59%, 20 > 59%). Among 84 self-identified NHWs, the estimated fraction of European ancestry ranged from 0.83 to 1.0, with an average of 0.97 (SE = 0.014). Self-identified MAs, and to a lesser extent NHWs, from an established bi-ethnic community were heterogeneous with respect to genetic admixture. Researchers should not use simple race-ethnic categories as proxies for homogeneous genetic populations when conducting gene mapping and disease association studies in multi-ethnic populations.     

A genome-wide analysis of population structure in the Finnish Saami with implications for genetic association studies

The understanding of patterns of genetic variation within and among human populations is a prerequisite for successful genetic association mapping studies of complex diseases and traits. Some populations are more favorable for association mapping studies than others. The Saami from northern Scandinavia and the Kola Peninsula represent a population isolate that, among European populations, has been less extensively sampled, despite some early interest for association mapping studies. In this paper, we report the results of a first genome-wide SNP-based study of genetic population structure in the Finnish Saami. Using data from the HapMap and the human genome diversity project (HGDP-CEPH) and recently developed statistical methods, we studied individual genetic ancestry. We quantified genetic differentiation between the Saami population and the HGDP-CEPH populations by calculating pair-wise F(ST) statistics and by characterizing identity-by-state sharing for pair-wise population comparisons. This study affirms an east Asian contribution to the predominantly European-derived Saami gene pool. Using model-based individual ancestry analysis, the median estimated percentage of the genome with east Asian ancestry was 6% (first and third quartiles: 5 and 8%, respectively). We found that genetic similarity between population pairs roughly correlated with geographic distance. Among the European HGDP-CEPH populations, F(ST) was smallest for the comparison with the Russians (F(ST)=0.0098), and estimates for the other population comparisons ranged from 0.0129 to 0.0263. Our analysis also revealed fine-scale substructure within the Finnish Saami and warns against the confounding effects of both hidden population structure and undocumented relatedness in genetic association studies of isolated populations.