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The Southwest Asian, circum-Mediterranean, and Southern European populations (collectively, SWAMSE) together with Northern European populations form one of five "continental" groups of global populations in many analyses of population relationships. This region is of great anthropologic and forensic interest but relationships of large numbers of populations within the region have not been able to be cleanly resolved with autosomal genetic markers. To examine the genetic boundaries to the SWAMSE region and whether internal structure can be detected we have assembled data for a total of 151 separate autosomal genetic markers on populations in this region and other parts of the world for a global set of 95 populations. The markers include 83 ancestry informative SNPs as singletons and 68 microhaplotype loci defined by 204 SNPs. The 151 loci are ancestry informative on a global scale, identifying at least five biogeographic clusters. One of those clusters is a clear grouping of 37 populations containing the SWAMSE plus northern European populations to the exclusion of populations in South Central Asia and populations from farther East. A refined analysis of the 37 populations shows the northern European populations clustering separately from the SWAMSE populations. Within Southwest Asia the Samaritans and Shabaks are distinct outliers. The Yemenite Jews, Saudi, Kuwaiti, Palestinian Arabs, and Southern Tunisians cluster together loosely while the remaining populations from Northern Iraq, Mediterranean Europe, the Caucasus region, and Iran cluster in a more complex graded fashion. The majority of the SWAMSE populations from the mainland of Southwest Asia form a cluster with little internal structure reflecting a very complex history of endogamy and migrations. The set of 151 DNA polymorphisms not only distinguishes major geographical regions globally but can distinguish ancestry to a small degree within geographical regions such as SWAMSE. We discuss forensic characteristics of the polymorphisms and also identify those that rank highest by Rosenberg's I n measure for the SWAMSE region populations and for the global set of populations analyzed. DATA AVAILABILITY: Genotypes on all 151 markers for all 3790 individuals typed in the Kidd Lab on the 72 Kidd lab populations have been deposited in the Zenodo archive and can be freely accessed at https://doi.org/10.5281/zenodo.4658892. Some of the data has been made public previously as supplemental files appended to publications. Data for the additional individuals included in the analyses was taken from already public datasets as indicated in the text., (Copyright © 2021 Elsevier B.V. All rights reserved.)

There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open question whether AMH left Africa through a single process, dispersing almost simultaneously over Asia and Europe, or in two main waves, first through the Arab Peninsula into southern Asia and Australo-Melanesia, and later through a northern route crossing the Levant. The development of new methodologies for inferring population history and the availability of worldwide high-coverage whole-genome sequences did not resolve this debate. In this work, we test the two main out-of-Africa hypotheses through an Approximate Bayesian Computation approach, based on the Random-Forest algorithm. We evaluated the ability of the method to discriminate between the alternative models of AMH out-of-Africa, using simulated data. Once assessed that the models are distinguishable, we compared simulated data with real genomic variation, from modern and archaic populations. This analysis showed that a model of multiple dispersals is four-fold as likely as the alternative single-dispersal model. According to our estimates, the two dispersal processes may be placed, respectively, around 74,000 and around 46,000 years ago.

Modern humans have inhabited the Lake Baikal region since the Upper Paleolithic, though the precise history of its peoples over this long time span is still largely unknown. Here, we report genome-wide data from 19 Upper Paleolithic to Early Bronze Age individuals from this Siberian region. An Upper Paleolithic genome shows a direct link with the First Americans by sharing the admixed ancestry that gave rise to all non-Arctic Native Americans. We also demonstrate the formation of Early Neolithic and Bronze Age Baikal populations as the result of prolonged admixture throughout the eighth to sixth millennium BP. Moreover, we detect genetic interactions with western Eurasian steppe populations and reconstruct Yersinia pestis genomes from two Early Bronze Age individuals without western Eurasian ancestry. Overall, our study demonstrates the most deeply divergent connection between Upper Paleolithic Siberians and the First Americans and reveals human and pathogen mobility across Eurasia during the Bronze Age., Competing Interests: Declaration of Interests The authors declare no competing interests., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Genome sequences from diverse human groups are needed to understand the structure of genetic variation in our species and the history of, and relationships between, different populations. We present 929 high-coverage genome sequences from 54 diverse human populations, 26 of which are physically phased using linked-read sequencing. Analyses of these genomes reveal an excess of previously undocumented common genetic variation private to southern Africa, central Africa, Oceania, and the Americas, but an absence of such variants fixed between major geographical regions. We also find deep and gradual population separations within Africa, contrasting population size histories between hunter-gatherer and agriculturalist groups in the past 10,000 years, and a contrast between single Neanderthal but multiple Denisovan source populations contributing to present-day human populations., (Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)

Current forensic ancestry-informative panels are limited in their ability to differentiate populations in the Asia-Pacific region. MAPlex (Multiplex for the Asia-Pacific), a massively parallel sequencing (MPS) assay, was developed to improve differentiation of East Asian, South Asian and Near Oceanian populations found in the extensive cross-continental Asian region that shows complex patterns of admixture at its margins. This study reports the development of MAPlex; the selection of SNPs in combination with microhaplotype markers; assay design considerations for reducing the lengths of microhaplotypes while preserving their ancestry-informativeness; adoption of new population-informative multiple-allele SNPs; compilation of South Asian-informative SNPs suitable for forensic AIMs panels; and the compilation of extensive reference and test population genotypes from online whole-genome-sequence data for MAPlex markers. STRUCTURE genetic clustering software was used to gauge the ability of MAPlex to differentiate a broad set of populations from South and East Asia, the West Pacific regions of Near Oceania, as well as the other globally distributed population groups. Preliminary assessment of MAPlex indicates enhanced South Asian differentiation with increased divergence between West Eurasian, South Asian and East Asian populations, compared to previous forensic SNP panels of comparable scale. In addition, MAPlex shows efficient differentiation of Middle Eastern individuals from Europeans. MAPlex is the first forensic AIM assay to combine binary and multiple-allele SNPs with microhaplotypes, adding the potential to detect and analyze mixed source forensic DNA., (Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Gastric Carcinoma is one of the most lethal cancer around the world, and is also the most common cancers in Eastern Asia. A lot of differentially expressed genes have been detected as being associated with Gastric Carcinoma (GC) progression, however, little is known about the underlying dysfunctional regulation mechanisms. To address this problem, we previously developed a differential networking approach that is characterized by involving differential coexpression analysis (DCEA), stage-specific gene regulatory network (GRN) modelling and differential regulation networking (DRN) analysis., Result: In order to implement differential networking meta-analysis, we developed a novel framework which integrated the following steps. Considering the complexity and diversity of gastric carcinogenesis, we first collected three datasets (GSE54129, GSE24375 and TCGA-STAD) for Chinese, Korean and American, and aimed to investigate the common dysregulation mechanisms of gastric carcinogenesis across racial groups. Then, we constructed conditional GRNs for gastric cancer corresponding to normal and carcinoma, and prioritized differentially regulated genes (DRGs) and gene links (DRLs) from three datasets separately by using our previously developed differential networking method. Based on our integrated differential regulation information from three datasets and prior knowledge (e.g., transcription factor (TF)-target regulatory relationships and known signaling pathways), we eventually generated testable hypotheses on the regulation mechanisms of two genes, XBP1 and GIF, out of 16 common cross-racial DRGs in gastric carcinogenesis., Conclusion: The current cross-racial integrative study from the viewpoint of differential regulation networking provided useful clues for understanding the common dysfunctional regulation mechanisms of gastric cancer progression and discovering new universal drug targets or biomarkers for gastric cancer.

Western Asia lies at the heart of the Old World, in the midst of Africa, Asia, and Europe. As such, this region has been populated and repopulated by myriad peoples, starting with the first migrants from Africa. All evidence points to Western Asia for the beginnings of sedentary life, and indeed, first the villages and later the cities of this land remain as archaeological wonders, revealing complex histories of multiple peoples and their interactions. With the wondrous breakthroughs in genomic studies, we now have the power to look at these histories with a truly quantitative lens. Here, we review the recent anthropological genomics literature pertaining to this region, with an outlook for the future challenges and exciting possibilities for the field.

Background: Apolipoprotein A5 (APOA5) 1131 is one of the most investigated gene polymorphisms in association with cardiovascular diseases (CVD) for its roles in epigenetics pathways., Objectives: The major objective of this metaprediction study was to comprehensively examine the association of polymorphism risk subtypes of APOA5 1131 gene and potential contributing factors of CVD risks in global populations., Methods: This study is a meta-analysis to determine APOA5 gene polymorphisms as risk factors for CVDs. Following the guidelines of meta-analyses, we applied big data analytics including the recursive partition tree, nonlinear association curve fit, and heat maps for data visualization-in addition to the conventional pooled analyses., Results: A total of 17,692 CVD cases and 23,566 controls from 50 study groups were included. The frequency of APOA5 1131 CC and TC polymorphisms in Asian populations (22.2%-52.6%) were higher than that in other populations, including Caucasians and Eurasians (10.0%-25.0%). The homozygous CC and heterozygous TC genotypes (both p < .0001) were associated with increased risks for CVD and were higher in many Western nations, including Canada, Spain, the Czech Republic, Hungary, Turkey, Egypt, France, and Iran. The CC genotype was associated with greater risks (RR > 2.00, p < .0001) for dyslipidemia and myocardial infarction, whereas RR > 1.00 was associated with metabolic syndrome, coronary artery disease, and stroke. Air pollution was significantly associated with APOA5 1131 CC and TC polymorphisms., Discussion: The findings of this study provided novel insight to further understand the associations among APOA5 1131 polymorphisms, air pollution, and the development of CVDs. Methylation studies are needed to examine epigenetic factors associated with APOA5 1131 polymorphisms and CVD and to suggest potential prevention strategies for CVD.

Background: The methylenetetrahydrofolate reductase gene (MTHFR) is one of the most investigated genes associated with breast cancer for its role in epigenetic pathways., Objectives: The objectives of this metaprediction study were to examine the polymorphism-mutation risk subtypes of MTHFR and air pollution as contributing factors for breast cancer., Methods: For triangulation purposes in metapredictive analyses, we used a recursive partition tree, nonlinear association curve fit, and heat maps for data visualization, in addition to the conventional comparison procedure and pooled analyses., Results: We included 36,683 breast cancer cases and 40,689 controls across 82 studies for MTHFR 677 and 23,252 cases and 27,094 controls across 50 studies for MTHFR 1298. MTHFR 677 TT was a risk genotype for breast cancer (p = .0004) and in the East Asian subgroup (p = .005). On global maps, the most polymorphism-mutations on MTHFR 677 TT were found in the Middle East, Europe, Asia, and the Americas, whereas the most mutations on MTHFR 1298 CC were located in Europe and the Middle East for the control group. The geographic information system maps further revealed that MTHFR 677 TT mutations yielded a higher risk of breast cancer for Australia, East Asia, the Middle East, South Europe, Morocco, and the Americas and that MTHFR 1298 CC mutations yielded a higher risk in Asia, the Middle East, South Europe, and South America. Metapredictive analysis revealed that air pollution level was significantly associated with MTHFR 677 TT polymorphism-mutation genotype., Discussion: We present the most comprehensive analyses to date of MTHFR polymorphism-mutations and breast cancer risk. Future nursing studies are needed to investigate the health impact on breast cancer of epigenetics and air pollution across populations.

High-coverage whole-genome sequence studies have so far focused on a limited number of geographically restricted populations, or been targeted at specific diseases, such as cancer. Nevertheless, the availability of high-resolution genomic data has led to the development of new methodologies for inferring population history and refuelled the debate on the mutation rate in humans. Here we present the Estonian Biocentre Human Genome Diversity Panel (EGDP), a dataset of 483 high-coverage human genomes from 148 populations worldwide, including 379 new genomes from 125 populations, which we group into diversity and selection sets. We analyse this dataset to refine estimates of continent-wide patterns of heterozygosity, long- and short-distance gene flow, archaic admixture, and changes in effective population size through time as well as for signals of positive or balancing selection. We find a genetic signature in present-day Papuans that suggests that at least 2% of their genome originates from an early and largely extinct expansion of anatomically modern humans (AMHs) out of Africa. Together with evidence from the western Asian fossil record, and admixture between AMHs and Neanderthals predating the main Eurasian expansion, our results contribute to the mounting evidence for the presence of AMHs out of Africa earlier than 75,000 years ago., Competing Interests: The authors declare no competing financial interests.

We report genome-wide ancient DNA from 44 ancient Near Easterners ranging in time between ~12,000 and 1,400 bc, from Natufian hunter-gatherers to Bronze Age farmers. We show that the earliest populations of the Near East derived around half their ancestry from a 'Basal Eurasian' lineage that had little if any Neanderthal admixture and that separated from other non-African lineages before their separation from each other. The first farmers of the southern Levant (Israel and Jordan) and Zagros Mountains (Iran) were strongly genetically differentiated, and each descended from local hunter-gatherers. By the time of the Bronze Age, these two populations and Anatolian-related farmers had mixed with each other and with the hunter-gatherers of Europe to greatly reduce genetic differentiation. The impact of the Near Eastern farmers extended beyond the Near East: farmers related to those of Anatolia spread westward into Europe; farmers related to those of the Levant spread southward into East Africa; farmers related to those of Iran spread northward into the Eurasian steppe; and people related to both the early farmers of Iran and to the pastoralists of the Eurasian steppe spread eastward into South Asia.

Background: The oxytocin (OT) system is known to be implicated in the regulation of complex social behavior, particularly empathy and parenting. The goal of this study was to estimate the gender and population differences in polymorphisms of two oxytocin receptor gene SNPs, rs53576 and rs2254298, in four populations., Results: These data were compared with each other and with 14 samples from the corresponding regions retrieved from the 1000 Genomes database. Low level of heterozygosity was observed for both SNPs in all populations in this study (rs53576: Catalonian, Hobs = 0.413; Hadza, Hobs = 0.556; sr2254698: Khanty-Mansi, Hobs = 0.250; Datoga, Hobs = 0.550). The amount of variance due to regional variability was almost equal for both SNPs (rs53576: FRT = 0.086, rs2554298: FRT = 0.072), whereas variance for the population level of variability was twice bigger for rs2554298 (rs53576: FST = 0.127, rs2554298: FST = 0.162). Pairwise coefficients of fixation demonstrate that the Hadza were well differentiated from other African populations except of Datoga, the Datoga were weakly differentiated from other African origin populations, the Ob Ugric people were extremely differentiated from all other populations. Catalans were extremely differentiated of Asian populations., Conclusions: It is hypothesized on the base of spatial distribution of the evolutionary novel A alleles of the both OXTR gene loci, that the spread of alleles of rs22542298 and rs53376 SNPs may be associated to some extant with manipulation of parental investment in humans.

The inference of biogeographical ancestry (BGA) can provide useful information for forensic investigators when there are no suspects to be compared with DNA collected at the crime scene or when no DNA database matches exist. Although public databases are increasing in size and population scope, there is a lack of information regarding genetic variation in Eurasian populations, especially in central regions such as the Middle East. Inhabitants of these regions show a high degree of genetic admixture, characterized by an allele frequency cline running from NW Europe to East Asia. Although a proper differentiation has been established between the cline extremes of western Europe and South Asia, populations geographically located in between, i.e, Middle East and Mediterranean populations, require more detailed study in order to characterize their genetic background as well as to further understand their demographic histories. To initiate these studies, three ancestry informative SNP (AI-SNP) multiplex panels: the SNPforID 34-plex, Eurasiaplex and a novel 33-plex assay were used to describe the ancestry patterns of a total of 24 populations ranging across the longitudinal axis from NW Europe to East Asia. Different ancestry inference approaches, including STRUCTURE, PCA, DAPC and Snipper Bayes analysis, were applied to determine relationships among populations. The structure results show differentiation between continental groups and a NW to SE allele frequency cline running across Eurasian populations. This study adds useful population data that could be used as reference genotypes for future ancestry investigations in forensic cases. The 33-plex assay also includes pigmentation predictive SNPs, but this study primarily focused on Eurasian population differentiation using 33-plex and its combination with the other two AI-SNP sets.

Objective: Coronary artery disease (CAD) remains one of the major causes of death worldwide. Despite considerable advances in the prevention and treatment of CAD, its complications, morbidity and mortality still remain very high, and vary widely across different ethnic groups., Materials and Methods: To detect genes involved in the development of CAD, we collected gene expression studies in the blood samples of CAD patients from different continents by searching the Gene Expression Omnibus database (GEO), performed a comparative analysis of gene expression between CAD patients and normal controls (NC) in each continent and identified the common set of differentially expressed genes (DEGs) between CAD patients and NC across different continents. PPI networks of the common set of DEGs were established by Cytoscape software to understand their biological role in CAD., Results: A total of 575, 868 and 476 genes were identified to be significantly differentially expressed between CAD patients and NC in Asia, Europe and North America. 24 genes were found common in three different continents, and 6 genes were previously linked to CAD or atherosclerosis. In the PPIs network the significant hub proteins contained IRF4 (Degree = 23), PLAUR (Degree = 17) and HIST1H2AE (Degree = 15)., Conclusions: Not only did we detect gene expression differences in the blood samples between CAD and NC in Asia, Europe and North America population, but analysis of the three population groups revealed a common set of 24 genes regardless of differences related to race, ethnicity, lifestyle, and environmental factor which may provide key factors to understand the pathogenesis of CAD and lead to development of diagnostic markers and/or effective therapeutic strategies.

DNA-based prediction for externally visible characteristics such as eye color is already a useful tool in forensic criminal investigations. The IrisPlex system, consisting of six single nucleotide polymorphisms (SNPs) and a prediction model, was developed based on individuals from several European populations. Other recent studies have developed a different prediction model, also based on European populations. In this study, we compared two prediction models using the data for the six IrisPlex SNPs genotyped on 905 individuals from 12 different Eurasian populations. All SNPs showed significant differences in allele frequencies among three groups of populations: European, genetically intermediate (Khanty, Uygur, and Yakut), and East Asian. The two prediction models, the FROG-kb calculation based on the formula of Walsh et al. (2011) and the Snipper calculation from Ruiz et al. (2013), gave identical predictions of brown eye color for the four East Asian populations with complete data but did not give concordant predictions for many individuals in the seven intermediate and European populations. Inconsistencies were mainly conclusive prediction by one model but not the other. Of the 714 individuals with complete 6-locus genotypes, the two models gave 22 % inconsistent predictions. Eliminating the 306 individuals in the Korean and three Chinese populations, in which the predictions were always consistent for brown eye color, the inconsistencies (among the remaining 408 individuals) were 38.7 %. We conclude that more attention should be paid to predictive uncertainty/error. Implementation of both prediction models in future forensic casework is one immediate way to highlight uncertainty.

Background: Cancer is becoming the most important public health burden around the globe. As per the GLOBOCAN 2008 estimates, about 12.7 million cancer cases and 7.6 million cancer deaths were estimated to have occurred in 2008. The burden of cancer cases for India in the year 2020 is calculated to be 1,148,757 (male 534,353; female 614,404) compared to 979,786 in 2010. The pattern of cancer incidence is varying among geographical regions, esophageal cancer for example being high in China, lung cancer in USA, and gallbladder cancer in Chile. The question remains why? Is it due to the diversity in genome pool, food habits, risk factor association and role of genetic susceptibility or some other factors associated with it? In India, the North East (NE)-India region is seeing a marked increase in cancer incidence and deaths, with a very different cancer incidence pattern compared to mainland India. The genome pool of the region is also quite distinct from the rest of India. Northeastern tribes are quite distinct from other groups; they are more closely related to East Asians than to other Indians. In this paper an attempt was made to see whether there is any similarity among the pattern of cancer incidence cases for different sites of NE-India region to South or East-Asia., Materials and Methods: Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA), Pearson Correlation coefficient test was assessed to evaluate the linkage of North-East India region to other regions. A p value <0.05 was considered as statistically significant., Results: The results clearly shows that there are similarities in occurrence of cancer incidence patterns for various cancer sites of NE-India with South and East-Asian regions, which may lead to the conclusion that there might be a genetic linkage between these regions.

Objective: To evaluate the prevalence and spectrum of BRCA mutations among ovarian carcinoma patients of different races and ethnicity with special reference to Asia., Methods: A systematic review of the literature was undertaken to evaluate the prevalence of BRCA mutations among people belonging to different races. The electronic search strategy was developed specifically for the different databases concerned and via cross-referencing., Results: The frequency of BRCA1 and BRCA2 mutations ranged from 1.1 to 39.7 and from 0 to 13.9, respectively. BRCA1 mutations are more common among ovarian cancer cases than BRCA2 mutations, although the ratio of BRCA1 to BRCA2 varies between populations. The Swedish and Indian populations showed 12 and 7 times as many BRCA1 as BRCA2 mutations, respectively, whilst in a study from Iceland the ratio was 0.5:1. These wide-ranging estimates of the mutation prevalence suggest genetic heterogeneity between different populations., Conclusion: The ability to identify BRCA1/2 mutations was found to be successful in the clinical management of ovarian cancer. Given the implications for clinical care and for advances in cancer prevention, identifying racial difference in genetic or lifestyle factors, which may modify the cancer risk due to BRCA1/2 mutations, is a high priority for future research., (Copyright © 2013 S. Karger AG, Basel.)

Introduction: The number of HIV-positive immigrants have increased in Spain in the last few years, and now represent a significant proportion of the epidemic. Our objective is to describe the clinico-epidemiological characteristics of HIV-positive immigrants seen in a specialist unit in Madrid., Material and Methods: Retrospective study. Every patient born in a country other than Spain and attended an HIV Unit in Madrid between 1992 and 2009 was included., Results: Of the 371 patients included, 53.1% were Latin Americans, 24.5% Sub-Saharan Africans, and 22.4% others), and 60% were males. Immigrants represented 0.3% of new patients in 1992 and rose to 49.2% in 2009. The principal reason for HIV testing had been pregnancy/delivery among women (32.7%) and having a category-B disease among men (17.4%). Sexual transmission accounted for 92% of patients. Tuberculosis was the principal AIDS-diagnosing illness. Respectively 90%, 7.7%, 60%, 26.7%, 96% and 95% of patients had an IgG for HAV, HCV, Toxoplasma, Treponema, CMV and VZV. VHB-Ags+: 5.4%; PPD+: 17%. At least one syphilis episode was recorded in 62% of the men who have sex with men (MSM). Prevalence of HLA-B5701 was 6%, 0.9% and 3.8% in Caucasians, Amerindians and Afro-Americans, respectively., Conclusions: Immigrants represent a significant proportion of new HIV-positive patients. It is a very heterogeneous group according to their clinical and epidemiological characteristics., (Copyright © 2011 Elsevier España, S.L. All rights reserved.)

The geographic distribution of genetic variation reflects trends in past population migrations and can be used to make inferences about these migrations. It has been proposed that the east-west orientation of the Eurasian landmass facilitated the rapid spread of ancient technological innovations across Eurasia, while the north-south orientation of the Americas led to a slower diffusion of technology there. If the diffusion of technology was accompanied by gene flow, then this hypothesis predicts that genetic differentiation in the Americas along lines of longitude will be greater than that in Eurasia along lines of latitude. We use 678 microsatellite loci from 68 indigenous populations in Eurasia and the Americas to investigate the spatial axes that underlie population-genetic variation. We find that genetic differentiation increases more rapidly along lines of longitude in the Americas than along lines of latitude in Eurasia. Distance along lines of latitude explains a sizeable portion of genetic distance in Eurasia, whereas distance along lines of longitude does not explain a large proportion of Eurasian genetic variation. Genetic differentiation in the Americas occurs along both latitudinal and longitudinal axes and has a greater magnitude than corresponding differentiation in Eurasia, even when adjusting for the lower level of genetic variation in the American populations. These results support the view that continental orientation has influenced migration patterns and has played an important role in determining both the structure of human genetic variation and the distribution and spread of cultural traits., (2011 Wiley Periodicals, Inc.)

Although there is agreement in that the Bering Strait was the entry point for the initial colonization of the American continent, there is considerable uncertainty regarding the timing and pattern of human migration from Asia to America. In order to perform a statistical assessment of the relative probability of alternative migration scenarios and to estimate key demographic parameters associated with them, we used an approximate Bayesian computation framework to analyze a data set of 401 autosomal microsatellite loci typed in 29 native American populations. A major finding is that a single, discrete, wave of colonization is highly inconsistent with observed levels of genetic diversity. A scenario with two discrete migration waves is also not supported by the data. The current genetic diversity of Amerindian populations is best explained by a third model involving recurrent gene flow between Asia and America, after initial colonization. We estimate that this colonization involved about 100 individuals and occurred some 13,000 years ago, in agreement with well-established archeological data.

Demographic models built from genetic data play important roles in illuminating prehistorical events and serving as null models in genome scans for selection. We introduce an inference method based on the joint frequency spectrum of genetic variants within and between populations. For candidate models we numerically compute the expected spectrum using a diffusion approximation to the one-locus, two-allele Wright-Fisher process, involving up to three simultaneous populations. Our approach is a composite likelihood scheme, since linkage between neutral loci alters the variance but not the expectation of the frequency spectrum. We thus use bootstraps incorporating linkage to estimate uncertainties for parameters and significance values for hypothesis tests. Our method can also incorporate selection on single sites, predicting the joint distribution of selected alleles among populations experiencing a bevy of evolutionary forces, including expansions, contractions, migrations, and admixture. We model human expansion out of Africa and the settlement of the New World, using 5 Mb of noncoding DNA resequenced in 68 individuals from 4 populations (YRI, CHB, CEU, and MXL) by the Environmental Genome Project. We infer divergence between West African and Eurasian populations 140 thousand years ago (95% confidence interval: 40-270 kya). This is earlier than other genetic studies, in part because we incorporate migration. We estimate the European (CEU) and East Asian (CHB) divergence time to be 23 kya (95% c.i.: 17-43 kya), long after archeological evidence places modern humans in Europe. Finally, we estimate divergence between East Asians (CHB) and Mexican-Americans (MXL) of 22 kya (95% c.i.: 16.3-26.9 kya), and our analysis yields no evidence for subsequent migration. Furthermore, combining our demographic model with a previously estimated distribution of selective effects among newly arising amino acid mutations accurately predicts the frequency spectrum of nonsynonymous variants across three continental populations (YRI, CHB, CEU)., Competing Interests: The authors have declared that no competing interests exist.

India has been underrepresented in genome-wide surveys of human variation. We analyse 25 diverse groups in India to provide strong evidence for two ancient populations, genetically divergent, that are ancestral to most Indians today. One, the 'Ancestral North Indians' (ANI), is genetically close to Middle Easterners, Central Asians, and Europeans, whereas the other, the 'Ancestral South Indians' (ASI), is as distinct from ANI and East Asians as they are from each other. By introducing methods that can estimate ancestry without accurate ancestral populations, we show that ANI ancestry ranges from 39-71% in most Indian groups, and is higher in traditionally upper caste and Indo-European speakers. Groups with only ASI ancestry may no longer exist in mainland India. However, the indigenous Andaman Islanders are unique in being ASI-related groups without ANI ancestry. Allele frequency differences between groups in India are larger than in Europe, reflecting strong founder effects whose signatures have been maintained for thousands of years owing to endogamy. We therefore predict that there will be an excess of recessive diseases in India, which should be possible to screen and map genetically.

Objectives: Oslo, the capital of Norway, has a high prevalence of multiple sclerosis (MS). In recent decades there has been substantial immigration to Oslo from Asia, the Middle East and Africa. The aim of the study was to estimate the prevalence of MS among non-Western immigrants living in Oslo, adjusted for duration of residence., Methods: Data were obtained from the MS registry at Ullevål University Hospital. The prevalence of MS was adjusted for ethnicity, age and duration of residence in Norway., Results: A total of 786 definite MS patients were alive and resident in Oslo on 31 December 2005, yielding a crude prevalence of 148/10(5). Twenty-seven patients were of non-Western origin: Middle East 14, Asia 9, Africa 4. The non-Western patients' mean age at migration was 20. The crude prevalence (95 % CI) of MS patients was 170/10(5) (159-182) for the Norwegian/Western, 85/10(5) (50-143) for the Middle East, 21/10(5) (11-41) for the Asian, and 20/10(5) (7-53) for the African cohorts. The high MS prevalence in the Middle East cohort and the low prevalence among Asian/African immigrants were also pronounced after adjustment for age and duration of residence., Conclusions: The Middle East immigrants had a markedly higher prevalence of MS despite a shorter duration of residence than other non-Western patients. These findings suggest that people from the Middle East have a greater genetic disposition for MS. Furthermore, the high age at migration among the non-Western immigrants indicates that possible environmental factors affecting MS risk may also act on adults.

The histological study of hair has a long history, dating from the 19th century. We obtained a collection of hair taken from people of known geographic origin. We analyzed these samples according to their transversal cut shape index, derived from computerized image-processing. We noted statistically significant variation according to the geographic origin of subjects. This morphological variation may reflect genetic distance. This reliable, quick, and cheap technique could be used in other existing anthropological material for which DNA analysis is usually difficult.

Noncoding regions are usually less subject to natural selection than coding regions and so may be more useful for studying human evolution. The recent surveys of worldwide DNA variation in four 10-kb noncoding regions revealed many interesting but also some incongruent patterns. Here we studied another 10-kb noncoding region, which is in 6p22. Sixty-six single-nucleotide polymorphisms were found among the 122 worldwide human sequences, resulting in 46 genotypes, from which 48 haplotypes were inferred. The distribution patterns of DNA variation, genotypes, and haplotypes suggest rapid population expansion in relatively recent times. The levels of polymorphism within human populations and divergence between humans and chimpanzees at this locus were generally similar to those for the other four noncoding regions. Fu and Li's tests rejected the neutrality assumption in the total sample and in the African sample but Tajima's test did not reject neutrality. A detailed examination of the contributions of various types of mutations to the parameters used in the neutrality tests clarified the discrepancy between these test results. The age estimates suggest a relatively young history in this region. Combining three autosomal noncoding regions, we estimated the long-term effective population size of humans to be 11,000 +/- 2800 using Tajima's estimator and 17,600 +/- 4700 using Watterson's estimator and the age of the most recent common ancestor to be 860,000 +/- 258,000 years ago.

The pattern of dispersal of biologically and behaviorally modern human populations from their African origins to the rest of the occupied world between approximately 60,000 and 40,000 years ago is at present a topic of lively debate, centering principally on the issue of single versus multiple dispersals. Here I argue that the archaeological and genetic evidence points to a single successful dispersal event, which took genetically and culturally modern populations fairly rapidly across southern and southeastern Asia into Australasia, and with only a secondary and later dispersal into Europe.

Quadruplex and pentaplex systems for polymerase chain reaction amplification of X-chromosomal short tandem repeats DXS101, HPRTB, DXS8377, DXS981 (STRX1) and DXS6789 were developed for automated profiling of liquid and membrane-bound DNA samples. Chinese, Japanese and Thai populations were typed using a quadruplex system, while German and Philippine populations were analyzed using a five-locus system. Out of 88 meioses studied in Philippine family samples at each locus, a possible one repeat deletion (allele 51 to 50) at DXS8377 was observed in a father-daughter pair. Exact tests performed on genotype data from females in the Philippine, German and Thai populations indicated that these groups conform to Hardy-Weinberg equilibrium. Exact tests for population differentiation indicate significant variations in allele distributions, particularly at loci DXS101, DXS981 and DXS6789. Considered individually, DXS8377 was the most polymorphic and HPRTB the least polymorphic locus in these five populations. When the forensic efficiency of the quadruplex system was calculated, the combined power of discrimination among males (PD(M)) was no lower than 0.998, while among females the combined PD(F) was at least 0.9999 in all populations. The combined power of paternity exclusion was a minimum of 0.998 in trio cases and 0.98 in motherless cases. The addition of locus DXS6789 to the German and Philippine population databases using a pentaplex increased the forensic efficiency of the analysis system.

The founding of New World populations by Asian peoples is the focus of considerable archaeological and genetic research, and there persist important questions on when and how these events occurred. Genetic data offer great potential for the study of human population history, but there are significant challenges in discerning distinct demographic processes. A new method for the study of diverging populations was applied to questions on the founding and history of Amerind-speaking Native American populations. The model permits estimation of founding population sizes, changes in population size, time of population formation, and gene flow. Analyses of data from nine loci are consistent with the general portrait that has emerged from archaeological and other kinds of evidence. The estimated effective size of the founding population for the New World is fewer than 80 individuals, approximately 1% of the effective size of the estimated ancestral Asian population. By adding a splitting parameter to population divergence models it becomes possible to develop detailed portraits of human demographic history. Analyses of Asian and New World data support a model of a recent founding of the New World by a population of quite small effective size.

In this paper we critique two recent studies that have been claimed to disprove the Out of Africa hypothesis for modern human origins (Hawks et al., 2000; Wolpoff et al., 2001). We show that the test prediction employed by Hawks et al. (2000) and Wolpff et al. (2001) is not relevant to many versions of the Out of Africa hypothesis, and that the key specimens they used are problematic in terms of morphological representativeness. We also show that there are significant problems with the character state datasets employed in the studies. Lastly, we highlight evidence that the main method used in the studies (pairwise difference analysis) is not reliable when applied to the type of data employed by Hawks et al. (2000) and Wolpoff et al. (2001). In view of the foregoing, we contend that Hawks et al.'s (2000) and Wolpoff et al.'s (2001) claim to have disproved the Out of Africa hypothesis cannot be sustained.

A phylogenetic analysis of 1125 global human mitochondrial DNA (mtDNA) sequences permitted positioning of all nucleotide substitutions according to their order of occurrence. The relative frequency and amino acid conservation of internal branch replacement mutations was found to increase from tropical Africa to temperate Europe and arctic northeastern Siberia. Particularly highly conserved amino acid substitutions were found at the roots of multiple mtDNA lineages from higher latitudes. These same lineages correlate with increased propensity for energy deficiency diseases as well as longevity. Thus, specific mtDNA replacement mutations permitted our ancestors to adapt to more northern climates, and these same variants are influencing our health today.

Theories on molecular evolution predict that phylogenetically recent nonsynonymous mutations should contain more non-neutral amino acid replacements than ancient mutations. We analyzed 840 complete coding-region human mitochondrial DNA (mtDNA) sequences for nonsynonymous mutations and evaluated the mutations in terms of the physicochemical properties of the amino acids involved. We identified 465 distinct missense and 6 nonsense mutations. 48% of the amino acid replacements changed polarity, 26% size, 8% charge, 32% aliphaticity, 13% aromaticity, and 44% hydropathy. The reduced-median networks of the amino acid changes revealed relatively few differences between the major continent-specific haplogroups, but a high variation and highly starlike phylogenies within the haplogroups. Some 56% of the mutations were private, and 25% were homoplasic. Nonconservative changes were more common than expected among the private mutations but less common among the homoplasic mutations. The asymptotic maximum of the number of nonsynonymous mutations in European mtDNA was estimated to be 1,081. The results suggested that amino acid replacements in the periphery of phylogenetic networks are more deleterious than those in the central parts, indicating that purifying selection prevents the fixation of some alleles.

Background and Purpose: Many investigators have approached ischemic stroke as a complex phenotype by dividing the ischemic stroke population into distinct subtypes. The purpose of this study was to review systematically the methods used to subtype ischemic stroke in recent genetic studies., Methods: The MEDLINE database was searched for articles pertaining to research on the genetics of human ischemic stroke published from January 2000 through January 2002. Abstracts and full-length reports were then sequentially screened to select articles pertaining to original case-control or cohort studies., Results: The initial search yielded 153 publications. Of 41 relevant articles, ischemic stroke was subtyped in 25 (61%). The most common standard subtyping system was the Cerebrovascular Classification of Diseases III system (9 articles). Of the subtyping systems used, 3 had previously published interrater reliability. The subtyping system was reported to have been prespecified in 1 study. Four articles reported using central adjudication. Two articles reported that the person doing the subtyping was blinded to genotype, and 2 reported that the person doing the genotyping was blinded to the patient's subtype status., Conclusions: When investigators subtyped ischemic stroke, they typically used either nonstandard classification systems or systems of undetermined reliability. Important methodological issues, including blinding and prespecification of the classification system, were rarely reported. Advances in methodology and scientific reporting standards would foster identification of subtype-specific genetic risk factors.

CYP1A2 is a cytochrome P450 gene that is involved in human physiological responses to a variety of drugs and toxins. To investigate the role of population history and natural selection in shaping genetic diversity in CYP1A2, we sequenced a 3.7-kb region 5' from CYP1A2 in a diverse collection of 113 individuals from three major continental regions of the Old World (Africa, Asia, and Europe). We also examined sequences in the 90-member National Institutes of Health DNA Polymorphism Discovery Resource (PDR). Eighteen single-nucleotide polymorphisms (SNPs) were found. Most of the high-frequency SNPs found in the Old World sample were also found in the PDR sample. However, six SNPs were detected in the Old World sample but not in the PDR sample, and two SNPs found in the PDR sample were not found in the Old World sample. Most pairs of SNPs were in complete linkage disequilibrium with one another, and there was no indication of a decline of disequilibrium with physical distance in this region. The average +/- SD nucleotide diversity in the Old World sample was 0.00043+/-0.00026. The African population had the highest level of nucleotide diversity and the lowest level of linkage disequilibrium. Two distinct haplotype clusters with broadly overlapping geographical distributions were present. Of the 17 haplotypes found in the Old World sample, 12 were found in the African sample, 8 were found in Indians, 5 were found in non-Indian Asians, and 5 were found in Europeans. Haplotypes found outside Africa were mostly a subset of those found within Africa. These patterns are all consistent with an African origin of modern humans. Seven SNPs were singletons, and the site-frequency spectrum showed a significant departure from neutral expectations, suggesting population expansion and/or natural selection. Comparison with outgroup species showed that four derived SNPs have achieved high (>0.90) frequencies in human populations, a trend consistent with the action of positive natural selection. These patterns have a number of implications for disease-association studies in CYP1A2 and other genes.

The evolution of the human mitochondrial genome is characterized by the emergence of ethnically distinct lineages or haplogroups. Nine European, seven Asian (including Native American), and three African mitochondrial DNA (mtDNA) haplogroups have been identified previously on the basis of the presence or absence of a relatively small number of restriction-enzyme recognition sites or on the basis of nucleotide sequences of the D-loop region. We have used reduced-median-network approaches to analyze 560 complete European, Asian, and African mtDNA coding-region sequences from unrelated individuals to develop a more complete understanding of sequence diversity both within and between haplogroups. A total of 497 haplogroup-associated polymorphisms were identified, 323 (65%) of which were associated with one haplogroup and 174 (35%) of which were associated with two or more haplogroups. Approximately one-half of these polymorphisms are reported for the first time here. Our results confirm and substantially extend the phylogenetic relationships among mitochondrial genomes described elsewhere from the major human ethnic groups. Another important result is that there were numerous instances both of parallel mutations at the same site and of reversion (i.e., homoplasy). It is likely that homoplasy in the coding region will confound evolutionary analysis of small sequence sets. By a linkage-disequilibrium approach, additional evidence for the absence of human mtDNA recombination is presented here.

DNA variation on the non-recombining portion of the Y chromosome was examined in 610 male samples from 14 global populations in north, east, and southeast Asia, and other regions of the world. Eight haplotypes were observed by analyses of seven biallelic polymorphic markers ( DYS257(108), DYS287, SRY(4064), SRY(10831), RPS4Y(711), M9, and M15) and were unevenly distributed among the populations. Maximum parsimony tree for the eight haplotypes showed that these haplotypes could be classified into four distinct lineages characterized by three key mutations: an insertion of the Y Alu polymorphic (YAP) element at DYS287, a C-to-G transversion at M9, and a C-to-T transition at RPS4Y(711). Of the four lineages, three major lineages (defined by the allele of YAP(+), M9-G, and RPS4Y-T, respectively) accounted for 98.6% of the Asian populations studied, indicating that these three paternal lineages have contributed to the formation of modern Asian populations. Moreover, phylogenetic analysis revealed three monophyletic Asian clusters, which consisted of north Asian, Japanese, and Han Chinese/southeast Asian populations, respectively. Coalescence analysis in the haplotype tree showed that the estimated ages for three key mutations ranged from 53,000 to 95,000 years, suggesting that the three lineages were separated from one another during early stages of human evolutionary history. The distribution patterns of the Y-haplotypes and mutational ages for the key markers suggest that three major groups with different paternal ancestries separately migrated to prehistoric east and southeast Asia.

In recent years multilocus data sets have been used to study the demographic history of human populations. In this paper (1) analyses previously done on 60 short tandem repeat (STR) loci are repeated on 30 restriction site polymorphism (RSP) markers; (2) relative population weights are estimated from the RSP data set and compared to previously published estimates from STR and craniometric data sets; and (3) computer simulations are performed to show the effects of ascertainment bias on relative population weight estimates. Not surprisingly, given that the RSP markers were originally identified in a small panel of Caucasians, estimates of relative population weights are biased and the European population weight is artificially inflated. However, the effects of ascertainment bias are not apparent in a principal components plot or estimates of FST. Ascertainment bias can have a large effect in other genetic systems with inherently low heterozygosity such as Alus or single nucleotide polymorphisms (SNPs), and care must be taken to have prior knowledge of how polymorphic markers in a given data set were originally identified. Otherwise, results can be skewed and interpretations faulty.

We have analyzed 35 widely distributed, polymorphic Alu loci in 715 individuals from 31 world populations. The average frequency of Alu insertions (the derived state) is lowest in Africa (.42) but is higher and similar in India (.55), Europe (.56), and Asia (.57). A comparison with 30 restriction-site polymorphisms (RSPs) for which the ancestral state has been determined shows that the frequency of derived RSP alleles is also lower in Africa (.35) than it is in Asia (.45) and in Europe (.46). Neighbor-joining networks based on Alu insertions or RSPs are rooted in Africa and show African populations as separate from other populations, with high statistical support. Correlations between genetic distances based on Alu and nuclear RSPs, short tandem-repeat polymorphisms, and mtDNA, in the same individuals, are high and significant. For the 35 loci, Alu gene diversity and the diversity attributable to population subdivision is highest in Africa but is lower and similar in Europe and Asia. The distribution of ancestral alleles is consistent with an origin of early modern human populations in sub-Saharan Africa, the isolation and preservation of ancestral alleles within Africa, and an expansion out of Africa into Eurasia. This expansion is characterized by increasing frequencies of Alu inserts and by derived RSP alleles with reduced genetic diversity in non-African populations.

Aims/hypothesis: The apolipoprotein C3-482C> T variant modulates insulin and glucose concentrations after an oral glucose tolerance test (OGTT) in young healthy white men. We evaluated the effect of this variant in different ethnic groups with different rates of Type II (non-insulin-dependent) diabetes mellitus and coronary heart disease., Methods: We investigated the -482C > T in a population-based cross-sectional study of white subjects (n = 462), South Asians (n = 442) and subjects of West African and Afro-Caribbean origin (n = 462), whose OGTT and fasting plasma triglyceride concentrations had been measured., Results: The -482T allele frequency differed between the three groups: 0.25 (95 % CI 0.22-0.28) in white subjects, 0.44 (0.41-0.47) in South Asians and 0.71 (0.68-0.74) in black subjects (p < 0.0001). A positive association was found between body mass index and genotype in black women (p = 0.009) and in black men (p = 0.056) but not in white subjects or South Asians. Associations between -482C > T and fasting insulin were found in white subjects, where -482T allele carriers had higher concentrations (adjusted for age and sex, p = 0.007, also including smoking and body mass index, p = 0.038). Higher triglyceride concentrations (p = 0.004 and p = 0.007 in the two models) but not glucose concentrations were also associated with -482C > T. In black subjects, decreased fasting insulin (p = 0.04) and fasting glucose (p = 0.004) were associated with -482C > T. No relation was observed between genotype and any post-load measured. CONCLUSIONS/INTERPRETATION. Allele frequencies of the -482C > T and associations with insulin, glucose and triglyceride concentrations vary considerably among ethnic groups. Although the results are consistent among white subjects across different studies, the associations among black subjects and South Asians differ.

We have sequenced a highly polymorphic subterminal noncoding region from human chromosome 16p13.3 flanking the 5' end of the hypervariable minisatellite MS205, in 100 chromosomes sampled from different African and Euroasiatic populations. Coalescence analysis indicates that the time to the most recent common ancestor (approximately 1 million years) predates the appearance of anatomically modern human forms. The root of the network describing this variability lies in Africa. African populations show a greater level of diversity and deeper branches. Most Euroasiatic variability seems to have been generated after a recent out-of-Africa range expansion. A history of population growth is the most likely scenario for the Euroasiatic populations. This pattern of nuclear variability can be reconciled with inferences based on mitochondrial DNA.

Background: Two competing hypotheses for the origins of Polynesians are the 'express-train' model, which supposes a recent and rapid expansion of Polynesian ancestors from Asia/Taiwan via coastal and island Melanesia, and the 'entangled-bank' model, which supposes a long history of cultural and genetic interactions among Southeast Asians, Melanesians and Polynesians. Most genetic data, especially analyses of mitochondrial DNA (mtDNA) variation, support the express-train model, as does linguistic and archaeological evidence. Here, we used Y-chromosome polymorphisms to investigate the origins of Polynesians., Results: We analysed eight single nucleotide polymorphisms (SNPs) and seven short tandem repeat (STR) loci on the Y chromosome in 28 Cook Islanders from Polynesia and 583 males from 17 Melanesian, Asian and Australian populations. We found that all Polynesians belong to just three Y-chromosome haplotypes, as defined by unique event polymorphisms. The major Y haplotype in Polynesians (82% frequency) was restricted to Melanesia and eastern Indonesia and most probably arose in Melanesia. Coalescence analysis of associated Y-STR haplotypes showed evidence of a population expansion in Polynesians, beginning about 2,200 years ago. The other two Polynesian Y haplotypes were widespread in Asia but were also found in Melanesia., Conclusions: All Polynesian Y chromosomes can be traced back to Melanesia, although some of these Y-chromosome types originated in Asia. Together with other genetic and cultural evidence, we propose a new model of Polynesian origins that we call the 'slow-boat' model: Polynesian ancestors did originate from Asia/Taiwan but did not move rapidly through Melanesia; rather, they interacted with and mixed extensively with Melanesians, leaving behind their genes and incorporating many Melanesian genes before colonising the Pacific.

Human Y-chromosomal short tandem repeat (STR) data provide a potential model system for the understanding of autosomal STR mutations in humans and other species. Yet, the reconstruction of STR evolution is rarely attempted, because of the absence of an appropriate methodology. We here develop and validate a phylogenetic-network approach. We have typed 256 Y chromosomes of indigenous descent from Africa, Asia, Europe, Australia, and highland Papua New Guinea, for the STR loci DYS19, DXYS156Y, DYS389, DYS390, DYS392, and DYS393, as well as for five ancient biallelic mutation events: two poly (A) length variants associated with the YAP insertion, two independent SRY-1532 mutations, and the 92R7 mutation. We have used our previously published pedigree data from 11,000 paternity-tested autosomal STR-allele transfers to produce a two-class weighting system for the Y-STR loci that is based on locus lengths and motif lengths. Reduced-median-network analysis yields a phylogeny that is independently supported by the five biallelic mutations, with an error of 6%. We find the earliest branch in our African San (Bushmen) sample. Assuming an age of 20,000 years for the Native American DYS199 T mutation, we estimate a mutation rate of 2.6x10-4 mutations/20 years for slowly mutating Y STRs, approximately 10-fold slower than the published average pedigree rate.

The relationship between the basic quantitative characteristics of the Q-heterochromatin (Q-HR) region variability of autosomes and of the Y chromosome in human populations was examined. A definite relationship between the mean number of Q-HR per individual, the distribution and frequencies of Q-HR on autosomes and the size of the Q-heterochromatin segment of the Y chromosome at the population level was shown to exist. The amount of autosomal Q-HR was lower in individuals with larger Q-heterochromatin segments on Y chromosomes, and vice versa. The hypothesis that the amount of chromosomal Q-HR in the genome of modern human populations may be under the control of natural selection, is discussed.

Research on human origins has tended to focus on the origins of western Eurasians; only recently have genetic studies examined south and east Asian populations in depth. Recent work suggests that the supposed Aryan invasion of India 3,000-4,000 years ago was much less significant than is generally believed.