Reconstructing the Human Past using Ancient and Modern Genomes

A reader alerts me to the availability of this comprehensive summary (pdf) which references a number of new manuscripts. A quite interesting picture which extends the author's previous work on ancient DNA from Sweden. Note the addition of a "a Mesolithic individual from Stora Förvar cave on the Stora Karlsö Island in the Baltic Sea" and more Ajv Neolithic hunters and Go:k Neolithic TRB farmers compared to the Science paper.

Reconstructing the Human Past using Ancient and Modern Genomes

PONTUS SKOGLUND

Abstract

Skoglund, P. 2013. Reconstructing the Human Past using Ancient and Modern Genomes. Acta Universitatis Upsaliensis. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1069. 68 pp. Uppsala. ISBN 978-91-554-8744-7. The study of DNA variation is one of the most promising avenues for learning about the evolutionary and historical past of humans and other species. However, the difficulty associated with obtaining DNA directly from ancient remains have for long kept genomic studies of population history trapped in time; confined to interpreting patterns of modern-day variation without direct historical observations. In this thesis, I outline new approaches for the retrieval, analysis and interpretation of large-scale genomic data from ancient populations, including solutions to overcome problems associated with limited genome coverage, modernday contamination, temporal differences between samples, and post-mortem DNA damage. I integrate large-scale genomic data sets from ancient remains with modern-day variation to trace the human past; from traits targeted by natural selection in the early ancestors of anatomically modern humans, to their descendants' interbreeding with archaic populations in Eurasia and the spread of agriculture in Europe and Africa. By first reconstructing the earliest population diversification events of early modern humans using a novel large-scale genomic data set from Khoe-San populations in southern Africa, I devise a new approach to search for genomic patterns of selective sweeps in ancestral populations and report evidence for skeletal development as a major target of selection during the emergence of early modern humans. Comparing publicly available genomes from archaic humans, I further find that the distribution of archaic human ancestry in Eurasia is more complex than previously thought. In the first direct genomic study of population structure in prehistoric populations, I demonstrate that individuals associated with farming- and hunter-gatherer complexes in Neolithic Scandinavia were strongly genetically differentiated, and direct comparisons with modern-day populations as well as other prehistoric individuals from Southern Europe suggest that this structure originated from Northward expansion of Neolithic farming populations. Finally, I develop a bioinformatic approach for removing modern-day contamination from large-scale ancient DNA sequencing data, and use this method to reconstruct the complete mitochondrial genome sequence of a Siberian Neandertal that is affected by substantial modern-day contamination.

Link (pdf)

mtDNA of Tatars from Volga-Ural region (Malyarchuk et al. 2010)

Wikipedia article on Volga Tatars. Some pictures of Kazan Tatars, which look just about what you would expect for 16% eastern Asian mtDNA, i.e., primarily Caucasoid but with visible traces of Mongoloid admixture

Molecular Biology and Evolution, doi:10.1093/molbev/msq065

Mitogenomic diversity in Tatars from the Volga-Ural region of Russia

B. Malyarchuk et al.

To investigate diversity of mitochondrial gene pool of Tatars inhabiting the territory of the middle Volga River basin, 197 individuals from two populations representing Kazan Tatars and Mishars were subjected for analysis of mitochondrial DNA (mtDNA) control region variation. In addition, 73 mitochondrial genomes of individuals from Mishar population were sequenced completely. It was found that mitochondrial gene pool of the Volga Tatars consists of two parts, but western Eurasian component prevails considerably (84% on average) over eastern Asian one (16%). Eastern Asian mtDNAs detected in Tatars belonged to a heterogeneous set of haplogroups (A, C, D, G, M7, M10, N9a, Y, Z), although only haplogroups A and D were revealed simultaneously in both populations. Complete mtDNA variation study revealed that the age of western Eurasian haplogroups (such as U4, HV0a and H) is less than 18,000 years, thus suggesting re-expansion of Eastern Europeans soon after the Last Glacial Maximum.

Link

Some mtDNA links between Europe and Asia

I was planning on writing up a more complete narrative for this post, but I don't think the evidence is -as of yet- strong enough to support very strong speculation. I will simply say that the recent results of Bramanti et al. for a U-dominated older mtDNA stratum in Central/North-eastern Europe can be reasonably extended to cover both North-western Europe and northern Eurasia up to Lake Baikal, the prehistoric limit between Caucasoids and Mongoloids.

This boreal zone of U dominance contrasts with that of the Neolithic and Bronze Age inhabitants, where the familiar mix of ten or so main Caucasoid haplogroups makes its appearance, in various proportions and in various degrees of admixture at the eastern end of its expansion. The eastern Caucasoids were probably derived from both (i) West Asia via the spread of the Neolithic economy to the east wherever it could be ecologically supported, (ii) in the more northern parts, from migrations across the steppe from Central and Eastern Europe.

More ancient DNA research is needed to establish (i) how complete was the U dominance in the pre-Neolithic northern zone, and (ii) when, and where did the other Caucasoid haplogroups break into it.

Anyway, here is the post as it stands:

Ricaut et al. (2004) discovered the presence of mtDNA haplogroup N1a (16147A, 16172C, 16223T, 16248T, and 16355T) in an Iron Age Scytho-Siberian skeleton from the Altai, reporting the presence of haplogroup N1a among Iranians and upper caste Havik Brahmins from India.

The same sequence was detected in a Neolithic Central European (DER1) of the Linearbandkeramik (LBK) culture, with reported modern matches in Egypt and Armenia. The following haplogroups were detected in the Neolithic LBK gene pool: H*, N1a, K, HV, T2, V, J, W, U3.

A later study by Gokcumen et al. (2008) discovered the presence of N1a in modern Kazakhs from the Altai:

The haplotypic variation within the seven N1a samples was relatively high (Table 2), with these haplotypes belonging to both the European and Central Asian branches of this haplogroup, as recently defined by Haak et al. (2005). Thus, the source of N1a haplotypes in Altaian Kazakhs was unclear, although they seemed to have originated west of this part of Central Asia (Gokcumen et al., 2007).

Haplogroup N1a was found to be a genuine signature of the Central European Neolithic by contrasting its high representation in the LBK with the overwhelming presence of haplogroup U (and especially U5 and U4) mtDNA among the Paleolithic and Mesolithic populations of the region.

A separate Neolithic Funnel Beaker (TRB) sample from Scandinavia (Malmström et al. 2009) included only three individuals belonging to haplogroups H, J, and T. Obviously, a sample of 3 is insufficient, but the absence of haplogroup U in it parallels that of the LBK. By contrast, the contemporaneous Mesolithic Pitted Ware culture, represented by 19 samples had single instances of J, and T (which may be due to admixture with the TRB), a single instance of haplogroup V, one of the few ones thought to be European in origin, and a gene pool that was apparently dominated by haplogroups U4 and U5. The picture emerging from the northmost European hunter-gatherers is one of a restricted set of haplogroups where U subclades were dominant (about 3/4).

N1a was also detected in medieval high-status Hungarians:

Commoners show a predominance of mtDNA haplotypes and haplogroups (H, R, T), common in west Eurasia, while high-status individuals, presumably conquering Hungarians, show a more heterogeneous haplogroup distribution, with haplogroups (N1a, X) which are present at very low frequencies in modern worldwide populations and are absent in recent Hungarian and Sekler populations.

While, as we saw, N1a was frequent among Neolithic Central Europeans, its absence in Hungarian commoners suggests that it was re-introduced -in the high status individuals- from Asia.

Interestingly, there has been European and Asian mtDNA evidence that allows us to have a good idea of the mtDNA landscape on which N1a-bearing people migrated from west to east:

The pre-farming foragers of Europe were dominated by mtDNA haplogroup U. The easternmost sample in the aforementioned study was from Samara, in European Russia and consisted of a U5a, and a U5a1 sample. How far to the west and east did the U-dominated population of pre-Neolithic northern Caucasoids extend?

Neolithic Siberians from Lake Baikal, the eastermost anthropologically attested limit of prehistoric Caucasoid populations had only U5a as a Western Caucasoid element in a population dominated by Eastern Eurasian mtDNA. Similarly, the Lokomotiv Siberian burials from Lake Baikal only had U5a in an other Mongoloid mtDNA gene pool. Yu Hong, a Sogdian in China (1,400 years ago) also belonged to haplogroup U5.

U5a was not limited to the territory of Central Europe to China in ancient times. It was the haplogroup of Cheddar Man, a Paleolithic Briton, and U5a1 or U5a1a has also been detected in a Mycenaean from Bronze Age Greece. Interestingly, U5a1 seems to have decreased in frequency in Britain from the 4th c. to the present.

Is it possible that negative selection is affecting mtDNA frequencies in Europe? U-haplogroup turns up in many ancient DNA samples, but the discovery that it was absent (or non-detectible) in Neolithic farmers raises the possibility that its reduced frequency may be due to demography, i.e., the overwhelming of Paleolithic foragers by Neolithic (and later) intruders.

We know that in the Bronze and subsequent ages, Siberians from Krasnoyarsk belonged to a rich assortment of Caucasoid haplogroups. It seems that newcomers from the West joined the U-dominated earliest settlers:

Twenty samples were found to belong to west Eurasian haplogroups (U2, U4,
U5a1, T1, T3, T4, H5a, H6, HV, K, and I), whereas the 6 remaining samples were attributed to east Eurasian haplogroups (Z, G2a, C, F1b and N9a).

At the other end of the Eurasiatic steppe, in the Bronze Age site of Eulau in Germany, the gene pool was also quite different from that of the Paleolithic inhabitants, with haplogroups K1b, U5b, I, H, X2, K1a2 detected.

Haplogroup X2 represents another link between the west and Siberia according to Reidla et al. (2003):

Overall, it appears that the populations of the Near East, the Caucasus, and Mediterranean Europe harbor subhaplogroup X2 at higher frequencies than those of northern and northeastern Europe (P less than .05) and that X2 is rare in Eastern European as well as Central Asian, Siberian, and Indian populations and is virtually absent in the Finno-Ugric and Turkic-speaking people of the Volga-Ural region. [...] the few Altaian (Derenko et al. 2001) and Siberian haplogroup X lineages are not related to the Native American cluster, and they are more likely explained by recent gene flow from Europe or from West Asia.

The Tubalar, Altaic speakers from the northeastern Altai showed a mixed Caucasoid-Mongoloid mtDNA gene pool, with the western component consisting of haplogroups H8, U4b, U5a1, and X2e:

Specifically, northeastern Altai appears to be a good candidate for the ancestral homeland of the haplogroup U4b, which is apparently ancient European. For some haplogroups, such as X2e, the relatively recent arrival to the Altai region is more likely.

Derenko et al. (2002) discovered a rich assortment of Caucasoid haplogroups in several populations from the Altai, including all aforementioned ones (H, HV1, J*, J1, J1b1, T1, T4, U1a, U2, U3, U4, U5a1, I, X and N1a):

The applied approach permitted identification of 60% of mtDNA types the majority of which had southern Caucasoid origin. Less than 10% of mtDNA types were of eastern European origin.

Derenko et al. (2003) also studied several populations from South Siberia where the Caucasoid component was much diminished (17%) with the following haplogroups present: H, U, J, T, I, N1a, X.

ASHG 2009 abstracts

It's that time of year again. Here is a list of abstracts from ASHG 2009 that caught my attention in three broad areas. It will be very interesting to see these when they become full papers, but if you are one of the lucky ones that goes to Hawaii this October and want to drop me a line about any of them, feel free to do so!

Population Genetics

Haplogroup H of mitochondrial DNA, a far echo of the West in the heart of Central Asia

Through the millennia, Inner Asia played a pivotal role in shaping the history that greatly added to the cultural, ethnic, and genetic diversity observed throughout present Eurasia. Perhaps the two most significant phenomena witnessed in this part of the world were the ambitious expansion strategy employed by Mongolia’s most prominent personality, Genghis Khan and the complex network known as the Silk Road that for nearly 3,000 years contributed to the exchange of goods and the transmission of philosophy, art, and science that laid the foundation for the great civilizations of China, India, Egypt, Persia, Arabia, and Rome, and in several respects to the modern world. Over the last few years, through an international collaborative effort, researchers at the Sorenson Molecular Genealogy Foundation were able to collect 2,727 DNA samples, informed consents, and genealogical data in Mongolia, Kyrgyzstan, and Kazakhstan. All the samples were sequenced for the three hypervariable segments of the mitochondrial DNA (mtDNA) control region to assess the genetic composition of the modern population of these countries. We identified ~600 different haplotypes that could be ascribed to more than 30 haplogroups and sub-haplogroups. As expected, most haplogroups are typical of modern East Asian populations, but intriguingly, many different Western Eurasian clades were also identified, with a particular high incidence of H (~8.0%), the most common haplogroup in Europe. This feature cannot be attributed to genetic drift since different H sub-lineages have also been identified, each of them represented by several different haplotypes. The mtDNA distribution profile in the heart of Central Asia suggests a direct link between this area and Western Eurasia that could be explained by ancient migrations or by more recent historical events, such as Genghis Khan’s conquering efforts and trade or cultural exchanges along the Silk Route. To discriminate between these two possible scenarios, we are now analyzing a subset of these samples at the highest possible level of resolution - that of complete mtDNA sequences - focusing particularly on those H mtDNAs that seem to be the most informative considering their control-region haplotypes. Our preliminary data seems to be in favor of rather ancient genetic inputs from the West in shaping the peculiar mtDNA gene pool of Inner Asia’s present-day populations.

The following study seems to do precisely what I recently asked for:

However, as the PCA analysis shows, Ashkenazi Jews are distinct from both Europeans and non-Jewish Middle Eastern populations and cannot be viewed as a simple mix of the two; their distinctiveness must be -in part- due to the specific features of the small founder population of that community after it became effectively reproductively semi-isolated from gentiles after Roman times. It would be interesting to see different Jewish communities studied in the context of a broad variety of European and Middle Eastern populations, to determine whether Ashkenazi distinctiveness is specifically Ashkenazi or more generally Jewish distinctiveness; I would bet on a combination of the two.

Abraham's children in the genome era: Major Jewish Diaspora populations comprise distinct genetic clusters with shared Middle Eastern ancestry

Despite residence all over the world, Jewish populations have maintained continuous genetic, cultural, and religious tradition over 4,000 years. The unique ethnic makeup and social practices provide an invaluable opportunity to understand their genetic origins and migrations and to elucidate the genetic basis of complex disorders. To generate a comprehensive HapMap of ethnically diverse, healthy Jewish populations, we used the Affymetrix array 6.0 to genotype 381 samples recruited from 7 Jewish communities with different geographic origins: Eastern European Ashkenazim; Italian, Greek and Turkish Sephardim; Iranian, Iraqi, and Syrian Mizrahim (Middle Easterners). Here, we present population structure results from compiled datasets after merging with the Human Genome Diversity Project and the Population Reference Sample studies, which consisted of 146 non-Jewish Middle Easterners (Druze, Bedouin and Palestinian), 30 northern Africans (Mozabite from Algeria), 1547 Europeans, and 653 individuals from other African, Asian, Latin American, and Oceanian populations. Both principal component analyses and multi-dimensional scaling analysis of pairwise Fst distance show that Jewish populations form a cluster clearly distinct from all major continental populations. The results also reveal a finer population substructure in which each of 7 Jewish populations studied here form distinctive clusters - in each instance within group Fst was smaller than between group, although some groups (Iranian, Iraqi) demonstrated greater within group diversity and even sub-clusters, based on village of origin. By pairwise Fst analysis, the Jewish groups are closest to Southern Europeans (i.e. Tuscan Italians) and to Druze, Bedouins, Palestinians. Interestingly, the distance to the closest Southern European population follows the order from proximal to distal: Ashkenazi, Sephardic, Syrian, Iraqi, and Iranian, which reflects historical admixture with local communities. STRUCTURE results show that the Jewish Diaspora groups all demonstrated Middle Eastern ancestry, but varied significantly in the extent of European admixture. There is almost no European ancestry in Iranian and Iraqi Jews, whereas Syrian, Sephardic, and Ashkenazi Jews have European admixture ranging from 30%~60%. Analysis of identity-by-descent provides further insight on recent and distinct history of such populations. These results demonstrate the shared and distinctive genetic heritage of Jewish Diaspora groups.

So, it seems that there will soon be real genomic data on the source and extent of admixture in Jews. The absence of Greek and Anatolian samples may be problematic in finding the sources of such admixture, but the presence of Tuscans, who are reasonably close to them in a pan-European context should do well to serve as a substitute. In a recent sutdy (in which Anatolians were not included), the closest populations to Ashkenazi Jews were Italians of mostly southern provenance (Fst=0.0040) and Greeks (Fst=0.0042) and fairly close to Tuscans (Fst=0.0066)

The following study seems to demonstrate my recent suggestion of archaic admixture in Africa itself:

It does not, however, tell us that this is because of archaic introgression in Europeans. The culprit could equally well be long-term population structure in Africa, i.e., the presence of "modern" and "archaic" populations in Africa itself.

Deep population structure in sub-Saharan African populations

We analyzed ~500 Kb of resequencing data from 91 different intergenic regions in samples from three sub-Saharan African populations: Mandenka from Senegal, Biaka pygmies from the Central African Republic and San from Namibia. We employed novel methodology to estimate the split times and migration rates between populations. We found strong evidence for split times that predate the exodus of modern humans out of Africa (e.g., > 100 Kya). In addition, we also found evidence of ancient admixture (with unknown ‘archaic’ human groups) in the recent history of both the Biaka and the San.

Analysis of Genomic Admixture in Costa Rica Population

Costa Rica (CR) population is a unique population representing a typical admixture of major continental ancestral populations. 1,301 samples collected from participants in a population-based study conducted in the Guanacaste region of CR were genotyped on a custom Illumina iSelect chip harboring 27,635 SNPs. The SNPs on the chip were selected based on multi-ethnic tagging strategy for three HapMap populations: CEU, YRI and JPT+CHB and cover 1,000 candidate genes/regions for a range of cancers. This data set was sufficiently large for the investigation of population substructure in our CR study and the examination of linkage disequilibrium (LD) patterns. Three HapMap major continental populations and a Native American population from the Illumina iControl DB were used as the reference populations for these analyses. Our preliminary results indicate that the Guanacaste CR population was formed mainly by a three-way admixture with 42.5%, 38.3% and 15.2% Native Indian, European, and African respectively. In addition, 4.0% residual genetic component derived from Asians was observed in our CR samples. Both model based STRUCTURE program and Principal Component Analysis (PCA) revealed consistent substructure pattern for the CR population. The magnitude of LD in the CR population seems to be smaller than all the reference populations except YRI. A more detailed knowledge of the underlying genetic structure of the CR population would be informative to assess its population genetic history and to assist in the interpretation of investigations of complex diseases in the CR or a comparably admixed population.

Analysis of Genetic Substructure of Han Chinese Using Genome-Wide SNP Arrays: Implication for Association Studies.

China will start this year a $30 million effort of genome-wide association studies (GWAS) of common diseases in Chinese populations which have been largely underrepresented in the similar effort worldwide. A general concern is population stratification (ancestry differences) among subpopulations which can cause false positive associations. Han Chinese is the largest ethnic group in the world, however, its population substructures are often expected and yet well characterized. In this study, we examined population substructures in a diverse set of >1,700 Han Chinese samples collected from 26 regions, each genotyped with at least 160K single nucleotide polymorphisms (SNPs). Our results showed that: (a) Han Chinese population is complicatedly substructured, with the main observed clusters roughly corresponding to northern Han, central Han and southern Han; (b) Han Chinese samples collected from large cities, such as Shanghai, Beijing and Guangzhou, show diverse source of ancestries including three aforementioned clusters; (c) HapMap samples (CHB & CHD) and HGDP samples (Han & Han-NChina) deliver a limited representation of Han Chinese people. Building on the above insights, we investigated false positive rates and statistical power in various study designs using both empirical and simulated data. We further explored sample collection strategies and public data usage for future association studies.

It will be interesting to see if the authors of the following study estimated gene flow in non-southern European populations as controls, to see what is the excess of Sub-Saharan admixture detected in the three southern European samples, and exactly what "methods that can infer admixture proportions in the absence of accurate ancestral populations" they used. Hopefully they will also extend their linkage disequilibrium analysis for the other populations besides Spaniards.

Characterizing the history of sub-Saharan African gene flow into southern Europe

Recent analyses of whole-genomeSNP data sets have suggested a history of sub-Saharan African ancestral contribution into southern Europe but not in northern Europe, consistent with previous analyses based on the Ychromosome and mitochondrial DNA. However, there has been no characterization of the proportion of African admixture in southern Europe, or of its date. Here we analyze data from ~450,000 autosomal SNPs in the Population Reference Sample, ~650,000 SNPs from the Human Genome Diversity Panel, and ~1.5 million SNPs from the HapMap Phase 3 Project, and studied patterns of correlation in allele frequencies across populations to confirm the evidence of African ancestry in many southern European populations but not in northern Europeans. Using methods that can infer admixture proportions in the absence of accurate ancestral populations, we estimated that the proportion of sub-Saharan African ancestry in Spain is 2.4 +/- 0.3%, in Tuscany 1.5 +/- 0.3%, and in Greece 1.9 +/- 0.7% (1 standard error). We also studied the decay of admixture linkage disequilibrium with genetic distance, which provided a preliminary estimate of the date of African gene flow into Spain of roughly 60 generations ago, or about 1,700 years ago assuming 28 years per generation. This date is consistent with the historically known movement of individuals of North African ancestry into Spain, although it is possible that this estimate also reflects a wider range of mixture times.

Genome-wide patterns of population structure and admixture among Hispanic/Latino populations

In order to document genome-wide patterns of variation in Hispanics/ Latinos (HL’s) we genotyped individuals from five distinct populations recruited in the US: Mexico, Colombia, Ecuador, Dominican Republic and Puerto Rico. We present population structure results from an extensive genome-wide SNP dataset compiled by merging Affymetrix 500K and Illumina 650K data from these populations together with the Human Genome Diversity Panel, HapMap, Mao et al (2005), and POPRES studies. We apply Principal Component Analysis (PCA) and a clustering method, frappe, to infer admixture and genetic relationships of 262 HL individuals with 467 Africans, 715 Europeans, and 210 Native Americans comprising a total of 88 populations. We observe substructure within Native Americans, and, as expected, find that the admixed HL populations show Native American ancestry derived from local Native American populations. We find striking differences in estimated population-wide mean African, European and Native American ancestry proportions which are consistent with historical admixture and proximity to slave trade routes. The Dominican Republic and Puerto Rico, located on islands along slave trade routes, show high levels of African Ancestry (means 41.7% and 23.6% respectively) with less Native American Ancestry (11.5% and 18.9%). Colombians show a wide range of both African and Native American ancestry, though they have an overall mean of slightly higher Native American ancestry (36.3%) and lower African ancestry (11.7%) than the highly-African Dominicans and Puerto Ricans. Ecuadorians show the highest Native American mean ancestry (54.0%) with low estimated mean African Ancestry (7.3%). Mexico shows the largest range of Native American ancestry (11.0% - 79.0%) with an overall mean of 50.1% Native American ancestry and the lowest African ancestry (5.6%). Our study shows a broad range in admixture proportions across different HL individuals as well as different admixture patterns across populations. We also compare this genotype data with mtDNA and Y chromosome genotypes and use simulations to estimate ancient male and female sex ratios in each HL population. Lastly, we discuss implications of population structure for genome-wide association studies in admixed populations such as HL’s, especially when recruited in the United States.

A new statistical method to infer population admixture events using genetic variation data

We present a novel statistical method that uses densely-spaced Single- Nucleotide-Polymorphism (SNP) data to identify the major admixture events occurring throughout a population’s history. The model has several advantages over leading available analytical approaches in this area, such as principal-components-analysis and STRUCTURE. In particular it can simultaneously (i) take advantage of the information inherent in patterns of linkage disequilibrium, i.e. non-random associations amongst neighbouring SNPs along a chromosome, (ii) efficiently analyse hundreds of individuals at hundreds of thousands of SNPs genome-wide, and (iii) allow for relatively straight-forward interpretation and direct inference of key historical parameters, such as the proportions and times of major admixture events. Using simulated data matched to currently available human datasets, we show that our model can identify and accurately date admixture events that have occurred between 7 and 150 generations ago. As our technique exploits the rich information in genetic data to infer details of a population’s admixture history, it marks a powerful complement to anthropological research and can help to resolve a number of existing controversies. We present results from applications of our model to two datasets: (1) SNP data from 22 distinct genetic regions for individuals from three chimpanzee populations in Africa; (2) genome-wide 650K SNP data for individuals from 53 world-wide populations of the Human Genome Diversity Panel (Science 319, 1100-1104). We highlight a number of intriguing new insights from these analyses. For example, the chimpanzee analysis showcases the model’s ability to infer the relative divergence among populations. The human analysis identifies several important admixture events, some of which are historically wellestablished (e.g. identification of recent European genetic influx into the Maya Native American population), others that can be placed into a clear historical context (e.g. an East Asian genetic influx into several Central and South Asian populations dated precisely to the era of the Mongol empire), and some that are to our knowledge novel (e.g. admixture in the Cambodian population between a Central/South Asian source and an East Asian source dated to around the period of the Cambodian Empire).

Bayesian methods of estimating ancestry using whole-genome SNP data

Estimation of the genetic ancestry of an individual is useful for association studies, disease risk prediction, population genetic analyses and is of inherent interest for the individual themselves. We have investigated methods of estimating ancestry using whole-genome SNP data on each individual. We focus on the scenario where the goal is to determine ancestry in relation to a set of genotype or haplotype data that is available from a set of distinct source populations, for example, the HapMap 2, HapMap 3 or 1000 Genomes datasets. Inference in this setting can focus either on the estimation of global ancestry, in which an overall estimate of the proportion of ancestry from the source populations is needed, or local ancestry, which aims to partition an individual genome into distinct segments of ancestry from the source populations. We have compared 2 models based on the estimated allele frequencies in the source populations at a set of unlinked SNPs. Model 1 only models global admixture, whereas Model 2 models both global and local admixture. Using simulated individuals with differing proportions of CEU and YRI admixture (based on HapMap3 data) we find that there is a relatively small difference in the mean square error of the estimates of global admixture from the 2 methods (1.16 10-4 and 8.88 10- 5 respectively). Since Model 1 is much faster to fit that Model 2 these results suggest that Model 1 can be used to estimate the level of global ancestry, or at the very least will be useful as an initial estimate for use in Model 2. Further investigation is required to see how these results hold for more genetically similar source populations. In contrast, the mean square error for the estimates of local admixture from the 2 methods is 0.298 and 0.0861 respectively, suggesting that an explicit model of local ancestry is needed to carry out this level of inference. We are also investigating the utility and practicality of using linked SNP data to estimate global and local admixture.

A detailed phylogeography of mtDNA haplogroup C1d: another piece in the Native American puzzle

Recent studies based on complete mitochondrial DNA (mtDNA) sequences revealed that two almost concomitant paths of migration from Beringia led to the dispersal of the first Americans (Paleo-Indians) approximately 15-17 thousand years ago (kya). This first expansion was followed by later more restricted diffusion events from the same dynamically changing Beringian source. Thus, five pan-American (A2, B2, C1, D1, and D4h3a) and four geographically confined (D2, D3, X2a, and C4c) mtDNA haplogroups represent the current female legacy of the ancient migratory events that gave rise to the native populations of the double continent. Regarding haplogroup C1, all its members appear to belong to one of three branches: C1b (characterized by the control-region transition at np 493), C1c, and C1d (with the control-region transition at np 16051). These three sub-haplogroups are found throughout the Americas, thus supporting the scenario that they most likely differentiated at the early stages of the Paleo-Indian southward migration. If considered as three separate founders, C1b, C1c, and C1d would bring the currently known number of native pan-American lineages to seven. As a whole, the C1 haplogroup has an estimated age of 17.0- 19.6 ky, while the three individual branches are dated 16.5-17.0 ky, 17.2- 17.6 ky, and 7.6-9.7 ky, respectively. The extremely young age estimate of C1d has been attributed, at least for the moment, to a major underrepresentation of C1d mtDNAs (only nine complete sequences published to date) in the current Native American mtDNA phylogeny. We have addressed this issue in the current study by completely sequencing more than 60 novel mtDNAs belonging to haplogroup C1d, which were carefully selected on the basis of both control-region variation and geographic/ethnic origin. Phylogeographic analyses have provided not only an accurate evaluation of the expansion time of C1d in the Americas, but also a detailed picture of its current distribution in both general mixed and indigenous populations.

Genetic diversity of European population isolates in the context of their geographic neighbors

Mapping traits in population isolates provides an opportunity to simplify the challenges of complex trait mapping because such populations likely have enhanced levels of linkage disequilibrium and reduced genetic heterogeneity for the underlying traits. Here we analyze high-throughput SNP genotyping data to compare genomic-scale patterns of variation in several European population isolates (Adygei, Basque, Orcadian, Roma from Slovakia, Sardinians, and Sorbs) and contrast their patterns of variation to geographical proximal populations. Our results reveal insights for the demographic history of each of these unique populations, suggest substantial variation among these population isolates in patterns of diversity, and highlight the importance of population selection in genome-wide association mapping.

Incompatibility of current Finnish mitochondrial diversity with simulations of assumed settlement history

Traditionally, geneticists studying Finnish population history have assumed a model where Northern and Eastern Finland were mostly uninhabited until the 16th Century A.D. and were then settled by small family groups from South-Western Finland. The reduced genetic diversity and the distinct Finnish disease heritage are seen as consequences of these founder effects. Y-chromosomal diversity is indeed reduced in the present population, especially in the eastern parts of the country. However, mitochondrial diversity is not heavily reduced compared to South-Western Finnish or other European populations. This discrepancy has been explained with the higher mitochondrial mutation rate having restored mitochondrial diversity in these populations since the founder effects.

In our view it seems unlikely that even with high mitochondrial mutation rates mtDNA diversity could be restored over a mere 17 generations after the alleged tight bottlenecks. Archaeological evidence also suggests a different settlement history, e.g. settlement beginning in South-Eastern instead of South-Western Finland.

In this study we use simuPOP, a state-of-the-art forward simulation tool, to simulate datasets corresponding to Finnish mitochondrial diversity under the traditional model and compare them with actual present-day Finnish data. We show that current mitochondrial variation is unlikely under this model, increasing the credibility of alternative hypotheses.

On the borderline between the east and the west: the maternal genetic background of Karelians

Introduction: The frontier between Finland and Russia represents one of the most conspicuous socioeconomic gaps in the world. Based on the mean gross national product, there is a ten-fold difference between Russian Karelian Republic and Finnish Karelia. Otherwise these populations share the same geophysical environment. For these reasons, Karelia has been a very interesting field of research for multifactorial disease studies. However, this area has undergone many demographic incidents, such as wars and famine, which may cause local differences in the gene pool. In this study, we wanted to elucidate the maternal genetic background of Karelians. Materials: Blood samples were collected from healthy unrelated individuals without known foreign background from four Karelian districts; Aunus(n=218), Viena(n= 87), Tver(n=61) and Finnish Karelia (n=70), The sample collection was performed according to the Basic Principles of the Declaration of Helsinki. Methods: The entire mitochondrial DNA was sequenced in 32 reactions per sample with the BigDye® Terminator v3.1 Cycle Sequencing Kit in the Applied Biosystem’s 3730 Genetic Analyzer sequencing machine. Sequence alignments were made by the SeqScape® Software, Version 2.5 (Applied Biosystem). Results: Haplogroup H was very common in all populations. However, H1a is almost absent in Finnish Karelia. Also U and its subhaplogroups were common. Specially U5b1b1 reached over 16% in Viena Karelians. U4 was most common among Tver Karelians. Conclusions: The maternal genetic background seem to be complex in this area. There is clear regional differences. Also there is solid evidence of gene flow from various sources. Representation of the clearly Asian haplogroups is strikingly low.

Genetic Landscape of Eurasia Viewed from Large Allele Frequency Differences.

The diversification leading to modern human populations in Eurasia is one of the most important topics in the study of human expansions after leaving Africa. Most studies of Eurasia populations have used either limited markers or involved insufficient population coverage. We chose 68 markers based on large allele frequency differences among a few Eurasian populations and then typed them on 1766 individuals from 34 populations representing all subdivisions of Eurasia. Analyses using the STRUCTURE program showed a clinal east-west division when K=2, with a median border dividing Central Asia along the Ob River, the Kazakh highland, the western side of Pamir Mountains, and the southwestern side of the Himalayas. We fit curves to the STRUCTURE loadings using distances of the population coordinates from the median border. The genetic structure changed dramatically only within 2000km on each side of the border. At higher values of K the western populations of East Asia are the first to be distinguished (at K=3): Mongols, Tibetans, Qiang, and Baima, are most distinct from the more eastern populations. At K=4 Southwest and South Asians are distinguished from the Europeans; At K=5 Southeast Asians and at K=6 Central Asians are successively distinguished from eastern East Asians. Several more isolated populations such as Samaritans, Atayals, or Micronesians were distinguished in different independent runs when K=7 providing no clear anthropological information. South Asians were always clustered with Southwest Asians with pronounced similarity to Central Asians. The failure to distinguish South Asians maybe due to the selection of the markers with large allele frequency differences specifically between Europeans and East Asians. We also tested for statistical differences in the allele frequencies for all pairs of clusters when K=6. The results showed significant borders (P less than 0.0001) including those between western East Asians and eastern East Asians or Central Asians; however, insignificant borders were observed between Southwest Asians and Southeast Asians or western East Asians, neither was between Central Asians and eastern East Asians. This indicates substantial gene flow in North Asia between eastern East Asians and Central Asians, and in South Asia between South Asians and Southeast Asians. Using increased population and marker coverage, this study helps to understand the details of genetic diversity and landscape of Eurasians.

Anthropometry

Dairy intake associates with the IGF2 rs680 polymorphism to height variation in Greek children. The GENDAI study

Objective: Height is a classic polygenic trait with a number of genes underlyingits variation. We evaluated the prospect of gene to diet interactions ina children cohort for the IGF2 rs680 polymorphism and height variation.Methods: We screened 795 peri-adolescent children (424 females) aged10-11 years old from the (Gene and Diet Attica Investigation; GENDAI)paediatric cohort for the IGF2 rs680 polymorphism. Results: Children homozygousfor common allele (GG) were taller (148.9 ± 7.9 cm) comparing tothose with the A allele (148.1 ± 7.9 cm), after adjusting for age, sex, anddairy intake (β±SE: 2.1± 0.95, p=0.026). A trend for interaction for theIgfrs680xdairy intake is also revealed (p=0.09). Stratification by IGF2 rs680genotype revealed a positive association between dairy products intakeand height only in A allele carriers, adjusted for the same confounders(standardized β=0.111, p=0.014). When dairy intake was classified, basedon the median value, into two equal groups of low (1.9 ± 0.7 servings/day)and high dairy products intake (4.4 ± 1.5 servings/day), it was found thatin A allele children high dairy eaters were significantly taller (p=0.05) comparedwith low dairy eaters (148.8 ± 7.9 cm vs 147.4 ± 7.7 cm respectively,adjusted for age and sex). Conclusion: A higher consumption of dairy productsassociated with increased height depending on the rs680 IGF2 genotype.Thus, exploring height variants and elucidating possible interactionswith environmental factors like diet could help us to design

A Non-synonymous HNF4A Variant is Associated with Glycemia During Pregnancy and Offspring Head Circumference in Populations of European Ancestry in the HAPO Study

The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study is a multicenter, international study, which examined the association of maternal glucose levels with fetal growth and outcome in 25,000 pregnant women from multiple ethnic groups to demonstrate a continuous relationship between maternal glucose measures and birth size throughout the range of glucose concentrations. We hypothesize genetic factors contribute to these phenotypes, and examined 1536 fetal and maternal SNPs in 79 candidate loci previously implicated in insulin secretion or sensitivity to determine associations with maternal glycemia and insulin secretion (fasting glucose and Cpeptide and 1-hr glucose from the OGTT) at ~28 weeks gestation and/or offspring size at birth (birth weight, length, head circumference, and sum of skinfolds) for HAPO mothers of European (Belfast and Manchester, UK, and Brisbane and Newcastle, Australia; N=3828) and Asian (Bangkok, Thailand; N=1813) ancestry and their offspring. Associations were assessed through linear regressions with the single trait/outcome under an additive genetic model adjusting for known confounders. Among our strongest signals was rs1800961G>A, which encodes a Thr>Ile amino acid change in exon 4 of HNF4A, recently identified in a GWAS meta-analysis as a variant associated with decreased HDL levels. In the HAPO study, this SNP was strongly associated with increased fetal head circumference (0.5cm [95%CI: 0.3-0.7] per maternal minor allele; P=1.2x10-7) in those of European descent. The maternal minor allele was also weakly associated with 1-hour glucose (4.3mg/dL [95%CI: 0.5-7.9]; P=0.03), birth length (0.7cm [95%CI: 0.2-1.1]; P=0.003), birth weight (52.6g [95%CI: -8.0-113.3]; P=0.09), and sum of skinfolds (0.3cm [95%CI: -0.1-0.6]; P=0.13). This same minor allele in the fetal genome was weakly associated with cord C-peptide (0.1ug/dL [95%CI: 0.01-0.22]; P=0.03), and head circumference (0.2cm [95%CI: -0.1-0.4]; P= 0.08). The same trends were observed among the Thai, although not significantly probably due to a reduction in power from the low risk allele frequency (<2%).>

Selection

In a recent study, Heyer used germline mutation rates to estimate time depth, so I am more inclined to take her dates at face value than in papers which used "evolutionary" rates. It will be interesting to see which Y-chromosome types the authors associates with the both the older and recent expansions.

Super Y-chromosomes in Eurasia and the impact of social selection and Neolithic transition

Some Y-chromosomal haplotypes have been found at unusually high frequenciesin Asian and European human populations. The massive spreadof these lineages has been explained by the impact of social selection i.e.the high reproductive success of some males and their relative/descendantsdue to their high social status. The most well-known examples are the “Khanhaplotype” and the “Manchou haplotype” in Asia, and the U’Neill haplotypein Ireland. But are these frequent haplotypes always associated with recentevents of social selection, or could they be linked to much older processes?To address this question, we have surveyed ~ 3500 males in 97 populationsfrom Turkey to Japan. We have focused on the 12 most frequently representedhaplotypes in Eurasia and tested whether their expansions are linkedto a specific factor such as language or subsistence methods. Our resultsshow that both recent and ancient processes are responsible for the expansionsof these lineages. The recent expansions (2000-3000 years) likely tobe linked to social selection are prevalent in Altaic-speaking and pastoralpopulations. This might indicate a recent cultural change in the social organizationof these populations. The ancient expansions (8000-10000 years)are over-represented in Indo-European speaking and sedentary farmer populations,and are likely to be the result of the Neolithic transition.

Lactase Persistence; Multiple causal mutations in sub-Saharan pastoralists

Background Milk is the primary source of nutrition for newborn mammals, including humans. The majority of human adults, estimated at approximately 65%, are unable to digest lactose (the main carbohydrate in milk) effectively since lactase expression is down-regulated after weaning, as it is in other mammals. In some humans however, lactase expression persists into adulthood (lactase persistence, LP) allowing adult consumption of milk from other species, and the frequencies of this trait vary throughout the world. A C-T SNP -13910 bases upstream from the lactase gene (LCT) is associated with LP in Europe. The -13910*T is rare in milk drinking groups in Africa although two other variants (-13915*G, -14010*C) have been shown previously to be significantly associated with LP and in an accompanying abstract (Ingram et al) we confirm a third locus (-13907*G) and present a fourth candidate SNP. However some LP individuals have also been identified who carry none of these alleles. Aims To examine the distribution across Africa of these and other allelic variants; to examine other regulatory regions in population groups in which enhancer alleles are lacking. Results The geographic and ethnic distribution of -13907*G, -13910*T, -13915*G, -14009*G, and -14010*C in 10 different countries and 15 distinct ethnic groups across Africa (n=1221 individuals) is presented here. Several other variants in this enhancer region are also described here for the first time. These tightly clustered enhancer variants are more frequent in pastoralist milk drinking groups than agriculturalist populations and are associated with several different LCT core haplotypes. Two further candidate regulatory regions have been sequenced in the same populations including a 1000bp region immediately upstream from LCT where novel variants have been found. Conclusions The data support the notion that many different mutations do have a functional role in LP, and that the trait has arisen independently several times, being subject to the positive selection conferred by the increased ability to digest milk lactose by people in pastoralist societies.

Extreme Evolutionary Disparities Seen in Positive Selection Across Seven Complex Diseases

Genome-wide association studies (GWASs) have successfully illuminated disease-associated variation. But whether human evolution is heading towards or away from disease susceptibility remains an open question. We analyzed the seven diseases studied by the Wellcome Trust Control Case Consortium (WTCCC), to calculate the relative selective pressure at every significant loci. Results reveal striking differences between the seven studied diseases. We find evidence of recent positive selection in favor of alleles increasing the risk of Type 1 Diabetes (T1D), Crohn’s Disease (CD), Hypertension (HT), Rheumatoid Arthritis (RA), and Bipolar Disorder (BD). Riskassociated alleles (defined as the allele most strongly associated with disease among associated SNPs) for Type 2 Diabetes (T2D) fall largely within the random neutral region, and Coronary Artery Disease (CAD) shows less positive selection than expected by random. When only protective alleles are considered (defined as the allele least strongly associated with disease among associated SNPs), we find that SNPs only associated with T1D, CD, and RA appear to exhibit significant signatures of positive selection. There is significant asymmetry in the 96 SNPs strongly associated with T1D (pvalue ≤0.005) showing strong signs of positive selection, with 79 SNPs selecting for the risky allele, and only 17 SNPs selecting for the protective allele. Furthermore, selection patterns of Coronary Artery Disease (CAD) fall far below the expected levels of random, implying stable allele frequencies. Results reveal the evolutionary trajectories of T1D and CD favor risk alleles, possibly due to their simultaneous role in protection from infectious diseases. These results inform on current understanding of disease etiology, thus aiding efforts to discover novel approaches to disease treatment and prevention.

Detecting Natural Selection in the Human Genome from Pilot1 Data in the 1000 Genomes Project

Identifying signatures of natural selection in the human genome is of fundamental implication for the study of population evolution and for the biomedical research. The distribution of selection in genome will provide important functional information. Natural selection modify the level of variability within and between populations and shapes the pattern of genetic variations in the genome. Genetic variation in genome is the raw data for detection of natural selection. The 1000 Genomes Project produces whole genome sequencing data and offers a unique and great opportunity to scan the genome for signature of natural selection. Five statistics: Tajima’D, Fu and Li’s F, Achaz’s Y, Fay and Wu’s H and Zeng et al.’s E (based on comparing the site frequency spectrum within population) and Fst statistic (based on the measure of population subdivision) were applied to Pilot 1 data in 1,000 genome project to scan the entire genome for detection of selection, where 344 chromosomes from ASI, CEU and YRI were sequenced. A total of more than 20 million of variant sites, 4.8 millions common in three populations were identified. We calculated seven statistics in 10 kb and 100 kb windows across the genome for each population and obtained their empirical distributions. Results show that two kinds of windows analyses lead to the similar distributions. The proportional rank of the test statistic in a particular window compared with the overall empirical genomic distribution was taken as empirical P-value for that window. We identified 3,046 candidate selection regions in ASI population, 2,015 selection regions in CEU, and 2,204 selection regions in YRI at 5% empirical significance level in 10 kb by five statistics based on differences in frequency spectrum. Among 457 candidate genes of selection reported from PubMed, we detected 102 selection genes in ASI, 53 selection genes in CEU, and 101 selection genes in YRI and 11 selection genes common in three populations by familiar Tajima D test. By comparison we obtained 3.9 million SNPs and the whole genome’s fixation index about 0.10~0.11. By compared with the empirical genome-wide distribution of FST, we identified 5, 278 candidate selection regions at an empirical significance level of 2.5% from each of the 22 autosomal chromosomes. Among 581 identified selection regions by FST which were reported from literatures, we found that 294 selection regions overlap our results.

Genomic Landscape of Positive Natural Selection in North European Populations

Analysing genetic variation of human populations to detect loci that have been affected by positive natural selection is important for understanding adaptive history and phenotypic variation in humans. In this study, we analysed recent positive selection in Northern Europe from genome-wide datasets of 250 000 and 500 000 single nucleotide polymorphisms in a total of over 1000 individuals from Great Britain, Northern Germany, Eastern and Western Finland, and Sweden. Coalescent simulations were used to demonstrate that the integrated haplotype score (iHS) and long-range haplotype (LRH) statistics have sufficient power in genome-wide datasets of different sample sizes and SNP densities. Furthermore, the behavior of the FST statistic in closely related populations was characterized by allele frequency simulations. In the analysis of the North European dataset, dozens of regions in the genome showed strong signs of recent positive selection. Most of these regions have not been discovered in previous scans, and many contain genes with interesting functions (e.g. RAB38, INFG, NOS1AP, and APOE). In the putatively selected regions, we observed a statistically significant overrepresentation of genetic association to complex disease, which emphasizes the importance of the analysis of positive selection in understanding the evolution of human disease. Altogether, this study demonstrates the potential of genome-wide datasets to discover loci that lie behind evolutionary adaptation in different human populations.

Evidence of Indigenous American specific selection in skin pigmentation genes

Recent studies of selection in human pigmentation genes have focused on Old World populations, neglecting the evolutionary changes that have occurred in Indigenous American populations since their migration into the Americas. Previous research shows correlations between Indigenous American ancestry and skin pigmentation variation, suggesting a genetic role in the determination of skin pigmentation among these populations. However, few genes contributing to these differences have been described. To identify genes that may have undergone Indigenous American specific changes, this work examines signatures of selection in 82 pigmentation candidate genes by genotyping 88 indigenous individuals from Central and South America using the Affymetrix Genomewide Human SNP Array 6.0. The resulting 906,600 single nucleotide polymorphisms (SNPs) were surveyed for signatures of selection in the Indigenous American populations compared to the HapMap Phase I populations. Evidence of selection was identified using four measures selected for the complementarity of their approaches, including the reduction in heterozygosity (lnRH), Locus-Specific Branch Length (LSBL), Tajima’s D, and by examination of the haplotype block structure. When computing lnRH and LSBL as well as when examining changes in haplotype frequency, the East Asian and European HapMap populations were included because they are the most closely related populations available. These analyses differentiate the selective changes that appear to be shared among East Asian and Indigenous American populations from those that are unique to the Indigenous American populations. For each test, the top5%of the empirical distribution of results was examined and pigmentation genes falling in this tail of the distribution were considered to show statistically significant evidence of selection. Based on these analyses, 12 genes - ADAM17, POMC, AP3B1,OPRM1, SILV, OCA2/HERC, PLDN, MYO5A, RAB27A, CYP1A2, ATRN, and ASIP - show evidence of selection unique to the Indigenous American populations. Many of these genes have known functional roles in melanogenesis and suggest potential pathways responsible for the observed differences in skin pigmentation between Indigenous American and Old World populations.

Patterns of correlation between genetic ancestry and facial features suggest selection on females is driving differentiation.

Human facial features show extensive variation within and among populations. By investigating the relationship between dimorphism in facial features and genetic ancestry in different populations, we can explore the roles of sexual and natural selection on the human face. We measured sexual dimorphism in facial traits while controlling for the effects of overall size differences and then tested for interactions between sex and genetic ancestry. The study sample consists of 254 subjects (n=170 females, n=84 males), ages 18-35, showing West African and European genetic ancestry sampled in the United States and Brazil. Maximum likelihood genetic ancestry estimates were determined from 176 ancestry informative markers (AIMs), which allowed for the proportional estimation of genetic ancestry from four parental populations (West African, European, East Asian, and Native American). Three-dimensional photographs of faces were acquired using the 3dMDface imaging system (Atlanta, GA). 22 standard anthropometric landmarks were placed on each image and XYZ coordinates were collected. All 231 possible pairwise inter-landmark distances were calculated and then log transformed. Using the pairwise distances, we tested whether some distances were larger in one sex than the other, having taken size into account, in a) African Americans sampled in the United States, b) Brazilians sampled in Brazil, and c) the combined African American and Brazilian sample. We found that several pairwise distances differed between the sexes. For example, the distance from the brow to nasal bridge was found to be more than 5% larger in females than males. We then tested for an interaction between sex and genetic ancestry by testing for differences in the slopes of the ancestry association between males and females. Although the pattern differed slightly between samples, after Bonferroni correction many correlations were the found to be same in both sexes. However, females in all three samples had many additional significant correlations that were not seen in males, while males had very few correlations that were not found in females. The results of these analyses suggest that selection on females is driving the differentiation in facial features among populations.

Effect of natural selection on North Asian mitochondrial haplogroup variation

The human mtDNA exhibits striking, region-specific sequence variation. The regional distribution of mtDNA haplogroups have attributed either to genetic drift assisted by purifying selection (Elson et al., 2004; Kivisild et al., 2006; Ingman, Gyllensten, 2007) or to an adaptation to different climates (Mishmar et al., 2003; Ruiz-Pesini et al., 2004). In an attempt to study the mode of selection in mtDNA variation in human populations we sequenced and analyzed 211 complete mtDNA sequences belonging to haplogroups A, C and D accounting in total for 49.3% of mtDNA lineages in North Asia. The North Asian haplogroups A, C and D showed a highly significant deviation from the standard neutral model as well as a bell-shaped distribution of pairwise differences consistent with rapid population expansion. To determine the overall importance of selection in shaping human mtDNA variation we calculated Ka/Ks ratio both for aggregated mtDNAs and for 13 proteinencoding genes within particular haplogroups (A, C and D). We have found a prevalence of Ks over Ka within haplogroups A, C and D indicating the influence of negative selection on mtDNA during evolution. Consistent with some previous reports we have found the Ka/Ks ratio for the ATP6 gene to be the highest among the North Asian sequences suggesting thereby that this gene has been subject to positive selection. We have also observed a set of genes with a somewhat higher Ka/Ks ratio relative to other mitochondrial genes - CO2 for haplogroup A, ND3 and ND4 for haplogroup C. Meanwhile the other approach taking into account the difference in NS/S ratios between the haplogroup-associated and private substitutions (Elson et al., 2004) shows the significant departures from neutrality only for haplogroup D and its subhaplogroup D4. Furthermore single gene analysis reveals the relatively strong influence of negative selection only in CYTb gene within haplogroupD(p=0.011, NI=14.1). In general, our results indicate that there is an evidence for both gene-specific and lineage-specific variation in selection acting on North Asian mtDNAs.

Selection for blue eyes in Europe and light skin pigmentation in East Asia at OCA2/HERC2

OCA2 and HERC2 are two genes on chromosome 15 separated by lessthan 10 kb. Mutations in this region have been shown to have an effect onpigmentation including causing oculocutaneous albinism type 2. In Europeans,a three SNP haplotype (rs4778138, rs4778241, rs7495174) and threeindividual SNPs (rs12913832, rs916977, rs1667394) have been associatedwith blue eyes. We have labeled the three SNP haplotype BEH1. We foundthat the first individual SNP, rs12913832, was in near complete LD withanother SNP (rs1129038). Wetreat these two SNPs together as a haplotype,BEH2. We also found that the other two individual SNPs were actually innear complete LD with each other and decided to label them BEH3. In EastAsians, a SNP (rs1800414) has been identified that is associated with alight skin pigmentation phenotype. We typed these eight SNPs in 64-70population samples. We then examined worldwide distribution of the fourpigmentation alleles. We saw that the light skin allele was at its highestfrequency in eastern East Asia, at midrange frequencies in Southeast Asia,and at lower frequencies in western East Asia. It is virtually absent from therest of the world. BEH1 and BEH3 show very similar global patterns, lowfrequencies to midrange frequencies in Africa and East Asia, midrangefrequencies in India and Eastern Siberia, and midrange to high frequenciesin Southwest Asia, Europe, Western Siberia, the Pacific Islands, and theAmericas. BEH2 shows a different pattern from the other two. It showslow frequencies in East Africa, India, Eastern Siberia, and the Americas,midrange frequencies in Southwest Asians and Southern Europeans, andhigh frequencies in Eastern and Northwestern Europe and Western Siberia.We then typed additional SNPs and test each pigmentation allele for selectionusing the Relative Extended Haplotype Homozygosity (REHH) test. Wefound that the light skin allele of rs1800414 is under selection in East Asiaand that the blue eye allele of BEH2 is under selection in Europe andSouthwest Asia. We show light skin pigmentation has been selected for inEast Asia. This is likely due to lower UV exposure at the higher latitudes(compared to equatorial Africa) and the need for lighter skin for vitamin Dproduction. We also show that blue eyes are selected for in Europe. Thisis most likely due to sexual selection, though another unknown effect of thisparticular allele could be selected for and the blues eyes are a side effect.

Ancestry variation along the genome in Latin American populations and implications for recent natural selection

Latin American populations stem from the admixture starting about 500 years ago of Europeans, Africans and Native Americans. Extreme deviation in ancestry estimates at certain genome locations (relative to the genomewide average) could reflect the action of recent natural selection. We evaluated the distribution of ancestry estimates along the genome using 678 microsatellite markers in 249 individuals sampled from 13 admixed populations across Latin America. We found a significant deviation in ancestry at two genomic locations with more than four times standard deviations from the genome-wide mean: an excess of European ancestry at 14q32 (Zscore = 4.14), and an excess of African ancestry at 6p22 (Z-score = 4.71). These deviations in ancestry were observed in the analysis of the combined dataset as well as in most of the individual populations examined. We showed that our findings are robust to the Native American ancestry populations used. We discussed the implications for recent natural selection in the context of the unique history of the New World, as well as the possibility of artifacts.

Central European farmers not descended from local hunter-gatherers (Bramanti et al. 2009)

This is the real power of DNA: the topic of whether central European farmers were the result of demic diffusion from the southeast or indigenous hunter-gatherers who adopted the agricultural economy has been endlessly debated in archaeological circles.

We are finally in a position to give an answer to the question, and the answer is in favor of the diffusionist camp and against the idea of acculturation by local hunter-gatherers. Surprisingly, modern Central Europeans do not appear to be a simple hunter-gatherer/farmer mix, suggesting that even later events (post-Neolithic) have shaped their genetic diversity.

This study is also a powerful argument against the idea of genetic continuity across long time spans. Most ancient DNA studies so far have reached a similar conclusion. Thus, it also destroys the supposed justification for continuity from Paleolithic Europe to modern times that early mtDNA work (of the Daughters of Eve variety) has proposed, hand in hand with the hunter acculturation hypothesis.

The paper is covered in National Geographic:

Central and western Europe's first farmers weren't crafty, native hunter-gatherers who gradually gave up their spears for seeds, a new study says.

Instead, they were experienced outsiders who arrived on the scene around 5500 B.C. with animals in tow—and the locals apparently didn't roll out the welcome wagon.

"Within a few generations, all the farmers—probably coming from southeast Europe—moved into central Europe bringing their culture, [livestock], and everything," Joachim Burger, a molecular archaeologist at the University of Mainz in Germany, said via email.

The finding is based on analysis of genetic material in the skeletal remains of ancient hunter-gatherers and early farmers found in Germany, Lithuania, Poland, and Russia—though farming is thought to have reached areas as far west as western France during the period of rapid expansion, about 7,500 years ago.

The study goes against a long-standing idea that Europe's first farmers were former hunter-gatherer populations that had settled the region after the last ice age, about 10,000 years ago.

Perhaps, the thinking went, the hunter-gatherers had observed farming practices during their travels or had learned from neighbors.

Instead, the researchers found, the hunter-gatherers and the early farmers remained segregated, according to the study, to be published tomorrow in the journal Science.

And the press release:

Analysis of ancient DNA from skeletons suggests that Europe's first farmers were not the descendants of the people who settled the area after the retreat of the ice sheets. Instead, the early farmers probably migrated into major areas of central and eastern Europe about 7,500 years ago, bringing domesticated plants and animals with them, says Barbara Bramanti from Mainz University in Germany and colleagues. The researchers analyzed DNA from hunter-gatherer and early farmer burials, and compared those to each other and to the DNA of modern Europeans. They conclude that there is little evidence of a direct genetic link between the hunter-gatherers and the early farmers, and 82 percent of the types of mtDNA found in the hunter-gatherers are relatively rare in central Europeans today.

For more than a century archaeologists, anthropologists, linguists, and more recently, geneticists, have argued about who the ancestors of Europeans living today were. We know that people lived in Europe before and after the last big ice age and managed to survive by hunting and gathering. We also know that farming spread into Europe from the Near East over the last 9,000 years, thereby increasing the amount of food that can be produced by as much as 100-fold. But the extent to which modern Europeans are descended from either of those two groups has eluded scientists despite many attempts to answer this question.

Now, a team from Mainz University in Germany, together with researchers from UCL (University College London) and Cambridge, have found that the first farmers in central and northern Europe could not have been the descendents of the hunter-gatherers that came before them. But what is even more surprising, they also found that modern Europeans couldn't solely be the descendents of either the hunter-gatherer alone, or the first farmers alone, and are unlikely to be a mixture of just those two groups. "This is really odd", said Professor Mark Thomas, a population geneticist at UCL and co-author of the study. "For more than a century the debate has centered around how much we are the descendents of European hunter-gatherers and how much we are the descendents of Europe's early farmers. For the first time we are now able to directly compare the genes of these Stone Age Europeans, and what we find is that some DNA types just aren't there - despite being common in Europeans today."

Humans arrived in Europe 45,000 years ago and replaced the Neandertals. From that period on, European hunter-gatherers experienced lots of climatic changes, including the last Ice Age. After the end of the Ice Age, some 11,000 years ago, the hunter-gatherer lifestyle survived for a couple of thousand years but was then gradually replaced by agriculture. The question was whether this change in lifestyle from hunter-gatherer to farmer was brought to Europe by new people, or whether only the idea of farming spread. The new results from the Mainz-led team seems to solve much of this long standing debate.

"Our analysis shows that there is no direct continuity between hunter-gatherers and farmers in Central Europe," says Prof Joachim Burger. "As the hunter-gatherers were there first, the farmers must have immigrated into the area."

The study identifies the Carpathian Basin as the origin for early Central European farmers. "It seems that farmers of the Linearbandkeramik culture immigrated from what is modern day Hungary around 7,500 years ago into Central Europe, initially without mixing with local hunter gatherers," says Barbara Bramanti, first author of the study. "This is surprising, because there were cultural contacts between the locals and the immigrants, but, it appears, no genetic exchange of women."

The new study confirms what Joachim Burger´s team showed in 2005; that the first farmers were not the direct ancestors of modern European. Burger says "We are still searching for those remaining components of modern European ancestry. European hunter-gatherers and early farmers alone are not enough. But new ancient DNA data from later periods in European prehistory may shed also light on this in the future."

And from archaeology.about.com:

A new study published by Barbara Bramanti and colleagues in Science Express on September 4, 2009, supports what some scholars have suspected all along—that the LBK likely were an in-migration of people from the Balkans, and that they did not, initially anyway, do much mixing at all with the earlier inhabitants of Europe.

Bramanti and her colleagues compared the mitochondrial DNA from 20 central European Upper Paleolithic, Mesolithic and Neolithic hunter-gatherers to that from 25 Neolithic farmers and 484 modern Europeans, spanning an age range from about 13,400 to 2,300 BC. The data shows that the early farmers and hunter-gatherers were from distinctively different populations.

This paper follows up on and to a degree contradicts with the hypothesis of an earlier paper that looked only at mtDA of the Neolithic farmers. That study (Haak et al. 2005) discovered that the farmers had a distinctive difference between the current residents of Europe, and hypothesized that that meant that the hunter-gatherers might have been more like the modern inhabitants, and thus, the LBK would have been only a minor component.

The earlier paper by Haak et al. they refer to.

(More technical details once I read the full paper)

UPDATE:

Pre-farming populations seem to have been dominated by mtDNA haplogroup U:

it is intriguing to note that 82% of our 22 hunter-gatherer individuals carried clade U (fourteen U5, two U4, and two unspecified U-types; table 1).

The hunter-gatherers had no N1a -which was a signature of early farmers in the Haak et al. paper- or of haplogroup H, the most common mtDNA haplogroup in Europeans today. The only non-U types in hunter-gatherers were all from the Ostorf site and included haplogroups T2e, J, and K.

The farmers:

In a previous study, we showed that the early farmers of Central Europe carried mainly N1a, but also H, HV, J, K, T, V, and U3 types (11, 12). We found no U5 or U4 types in that early farmer sample.

UPDATE I:

It is important to note the implications of this study: the most certain conclusion is that Neolithic farmers in Central Europe are very sharply differentiated from the Paleolithic-Mesolithic populations. This is clear evidence in favor of the diffusionist idea, since the acculturation hypothesis predicts that the mtDNA of the early farmers would be roughly that of the pre-farming population that picked up the new technology.

However, the evidence of this paper also contradicts the plain demic diffusion hypothesis. According to this hypothesis, farmer genes are gradually replaced by hunter genes as the farming economy spreads, because in each step there is a mix of farmer-indigenous populations which go on to colonize regions beyond the frontier. This is not what appears to have happened. Rather, it seems the farmers moved across Europe with very little interaction with pre-farmers. A long period of no contact between the LBK and foragers is actually supported by archaeology. I have termed this type of diffusion the "skipping stone":

In the Skipping Stone model, farmers move out in search of new territories before they have started to blend with the local foragers; the genetic impact of the initiators of the movement is preserved.

The great speed of the Linearbandkeramik farmers was also experienced by farmers who spread across the Mediterranean. The spread of agriculture in Europe does not appear to have been a slow process of interaction between farmer and forager, but rather a blitz by the first farmers, followed later, after the spread had already occurred by admixture with some of the foragers that remained.

We must also be certain not to jump into conclusions about the relative contributions of farmer and forager in the modern gene pool. Clearly both the idea of a predominantly "Paleolithic" and a predominantly "Neolithic" gene pool is problematic; such continuity is not really evident. However, the reasons for the discontinuity up to the present may be manifold: e.g., later population movements into Europe, or natural selection changing the gene pool without subsequent change of population.

What we do know is this: first farmers were not local foragers who abandoned the old ways for the new ones. Amalgamation between farmer and forager did not happen quickly as the farming economy spread. Finally it did happen, of course, and either because (i) there were few foragers in the mix, or (ii) their mtDNA was selected against, modern central Europeans have very little mitochondrial descent from the earliest European populations.

PS: Natural selection against forager mtDNA is not very outlandish. For example, a severe reduction of U5a1 and U5b haplogroup in Britain from ancient to modern times has been observed, which could potentially mark another data point in a process of selection against that haplogroup over time.

My personal guess is that both demography and selection may have played a role in the marginalization of hunter-gatherer mtDNA . LBK farmers were already 3 thousand years removed from the earliest agriculturalists of the Near East, so it is conceivable that they had evolved an mtDNA gene pool adapted to the new lifestyle that outcompeted the indigenous European one. But, the long period of isolation from foragers may mean that only farmer mtDNA benefited from the demographic boom associated with the new economy, and by the time relations between the two groups warmed up, the relatively few newcomers already dwarfed the older population demographically.

UPDATE II (Sep 4):

To understand the magnitude of the difference between farmers and hunter-gatherers, the authors calculate their Fst=0.163, which can be compared with a maximum value of 0.0327 among modern Europeans and 0.133 for modern Eurasians from Europe to Australia. Subsequently, the authors test the hypotheses of (a) continuity between hunter-gatherers and farmers, and (b) continuity between hunter-gatherers and modern Central Europeans, rejecting both.

This isn't very surprising in the light of the anthropological evidence in favor of diffusion of farmers from the Near East and against the acculturation hypothesis presented recently by Pinhasi et al. The very close relationship of the LBK skulls and their proximity to samples from Nea Nikomedeia in Greece and Catal Hoyuk in Anatolia contrasts with the Mesolithic populations.

UPDATE III (Sep 21):

Some possible anthropological evidence for post-LBK infusion into Central Europe:

Mesolithic Europeans display considerable variation in humero-clavicular and brachial indices yet none approach the extreme "hyper-polar" morphology of LBK humans from the MESV. In contrast, Late Neolithic and Early Bronze Age peoples display elongated brachial and crural indices reminiscent of terminal Pleistocene and "tropically adapted" recent humans. These marked morphological changes likely reflect exogenous immigration during the terminal Fourth millennium cal BC.

Science doi:10.1126/science.1176869

Genetic Discontinuity Between Local Hunter-Gatherers and Central Europe’s First Farmers

B. Bramanti et al.

Following the domestication of animals and crops in the Near East some 11,000 years ago, farming reached much of Central Europe by 7,500 years before present. The extent to which these early European farmers were immigrants, or descendants of resident hunter-gatherers who had adopted farming, has been widely debated. We compare new mitochondrial DNA (mtDNA) sequences from late European hunter-gatherer skeletons with those from early farmers, and from modern Europeans. We find large genetic differences between all three groups that cannot be explained by population continuity alone. Most (82%) of the ancient hunter-gatherers share mtDNA types that are relatively rare in Central Europeans today. Together, these analyses provide persuasive evidence that the first farmers were not the descendants of local hunter-gatherers but immigrated into Central Europe at the onset of the Neolithic.

Link

More on prehistoric South Siberians (Keyser et al. 2009)

This seems like a compendium of these authors' previous work (see here and links therein) which had appeared in forensic journals so far; there seems to be more material in this paper than in the previous shorter papers, but as far as I can tell, no new genetic results.

There is also supplementary data in the article.

From the paper:

The additional analysis performed on Xiongnu specimens revealed that whereas none of the specimens from the Egyin Gol valley bore this haplogroup, the Scytho-Siberian skeleton from the Sebÿstei site exhibited R1a1 haplogroup.

A previous study on Egyin Gol from Mongolia by Keyser et al.

More from the paper:

A search in the YHRD database as well as in our own databank revealed that none of the Y-STR haplotypes obtained from the south Siberian samples perfectly matched (at 17 loci) those included in the databases. Nevertheless, when not all loci were scored, matches were found for all samples except two (S07 and S32) for which even the search based on the 9-loci minimal haplotype was fruitless (Table 4).

The article includes fairly comprehensive searches of the discovered Y-chromosome and mtDNA types in modern populations.

The mtDNA results:

Twenty samples were found to belong to west Eurasian haplogroups (U2, U4,
U5a1, T1, T3, T4, H5a, H6, HV, K, and I), whereas the 6 remaining samples were attributed to east Eurasian haplogroups (Z, G2a, C, F1b and N9a).

Interestingly:

Moreover, it is likely that some mtDNA lineages were carried to southern Siberia from the Volga–Ural region. Incidentally, in the fifth century BC, Herodotus mentioned transit trade occurring in Central Asia along a route that stretched from the Urals in the west to the Altai and the Minusinsk Basin in the east (Hemphill and Mallory 2004). In Altai, the presence of the R1a1 haplogroup in the middle of the fifth century BC is confirmed by the sample SEB 96K2 of Ricaut et al. (2004) which was found to belong to this Y-haplogroup. The boundary of the eastern European influence seems to be fixed at the peri-Baikal area since no R1a1 haplogroup was found in the Xiongnu specimens of the Northern border of Mongolia.

Link to Ricaut et al. (2004). This is in good agreement with the anthropological picture by Alexeev:

"The boundary of the Europeoid movement is clearly fixed at Lake Baikal. To the east of Baikal no palaeoanthropological find bears any traces of Europeoid admixture."

See also my compendium on ancient Y-chromosome studies.

Human Genetics doi:10.1007/s00439-009-0683-0

Ancient DNA provides new insights into the history of south Siberian Kurgan people.

Keyser C. et al.

Abstract

To help unravel some of the early Eurasian steppe migration movements, we determined the Y-chromosomal and mitochondrial haplotypes and haplogroups of 26 ancient human specimens from the Krasnoyarsk area dated from between the middle of the second millennium BC. to the fourth century AD. In order to go further in the search of the geographic origin and physical traits of these south Siberian specimens, we also typed phenotype-informative single nucleotide polymorphisms. Our autosomal, Y-chromosomal and mitochondrial DNA analyses reveal that whereas few specimens seem to be related matrilineally or patrilineally, nearly all subjects belong to haplogroup R1a1-M17 which is thought to mark the eastward migration of the early Indo-Europeans. Our results also confirm that at the Bronze and Iron Ages, south Siberia was a region of overwhelmingly predominant European settlement, suggesting an eastward migration of Kurgan people across the Russo-Kazakh steppe. Finally, our data indicate that at the Bronze and Iron Age timeframe, south Siberians were blue (or green)-eyed, fair-skinned and light-haired people and that they might have played a role in the early development of the Tarim Basin civilization. To the best of our knowledge, no equivalent molecular analysis has been undertaken so far.

Link

mtDNA of Old Believers

Human Biology Volume 80, Number 3

Russian Old Believers: Genetic Consequences of Their Persecution and Exile, as Shown by Mitochondrial DNA Evidence

Samara Rubinstein et al.

Abstract

In 1653, the Patriarch Nikon modified liturgical practices to bring the Russian Orthodox Church in line with those of the Eastern (Greek) Orthodox Church, from which it had split 200 years earlier. The Old Believers (staroveri) rejected these changes and continued to worship using the earlier practices. These actions resulted in their persecution by the Russian Orthodox Church, which forced them into exile across Siberia. Given their history, we investigate whether populations of Old Believers have diverged genetically from other Slavic populations as a result of their isolation. We also examine whether the three Old Believer populations analyzed in this study are part of a single gene pool (founder population) or are instead derived from heterogeneous sources. As part of this analysis, we survey the mitochondrial DNAs (mtDNAs) of 189 Russian Old Believer individuals from three populations in Siberia and 201 ethnic Russians from different parts of Siberia for phylogenetically informative mutations in the coding and noncoding regions. Our results indicate that the Old Believers have not significantly diverged genetically from other Slavic populations over the 200–300 years of their isolation in Siberia. However, they do show some unique patterns of mtDNA variation relative to other Slavic groups, such as a high frequency of subhaplogroup U4, a surprisingly low frequency of haplogroup H, and low frequencies of the rare East Eurasian subhaplogroup D5.

Link

ASHG 2008 abstracts

Just a sample of abstracts that I found interesting from the upcoming meeting of the American Society of Human Genetics.

Strong linkage disequilibrium for the frequent GJB2 35delG mutation in the Greek population.

Up to forty percent of autosomal recessive, congenital, severe to profound hearing impairment cases result from mutations in the GJB2 gene. The 35delG mutation accounts for the majority of mutations detected in Caucasian populations and represents one of the most frequent disease mutations identified so far. Some previous studies have assumed that the high frequency of the 35delG mutation reflects the presence of a mutational hot spot, whilst other studies support the theory of a common founder. Greece is amongst the countries presenting the highest frequency of the 35delG mutation (3.5%), and a recent study raised the hypothesis of the origin of this mutation in ancient Greece. We genotyped 60 Greek deafness patients homozygous for the 35delG mutation for six single nucleotide polymorphisms (SNPs) and two microsatellite markers, mapping within or flanking the GJB2 gene, as compared to 60 Greek hearing controls. A strong linkage disequilibrium was found between the 35delG mutation and the DNA markers at distances of 34 kb on the centromeric and 90 kb on the telomeric side of the gene, respectively. A comparison of the present findings with those of a previous study from Belgium, UK and USA, demonstrated a common haplotype reflecting the common founder. Our study supports the hypothesis of a founder effect and we further propose that ethnic groups of Greek ancestry could have propagated the 35delG mutation, as evidenced by historical data beginning from the 15th century BC.

Detection of population substructure among Jews and a north/south gradient within Ashkenazi Jews using 32 STR markers.

Understanding and detecting population substructure are critical issues. Using 32 autosomal STR markers and the program STRUCTURE we demonstrated differentiation between Ashkenazi (AJ) (N=135) and Sephardic (SJ) (N=226) Jewish populations in the form of Northern and Southern European genetic components (AJ north 73%, south 22%, SJ north 32%, south 61%) and a significant relationship between latitude of grandparental country of origin (GCO) and percent north/south genetic component in AJ. Notably, we revealed substructure among Jews (and among European Americans (EA)) using a small STR panel, only when additional samples representing major continental populations (African American, EA, Asian) were included in analyses. Further, negative RIS (-0.035) indicates recent admixture in individuals with both SJ and AJ parents (N=38). RIS is a measure of inbreeding adapted from FIS for STR markers. Negative RIS indicates allelic variation within individuals greater than expected under random mating, i.e., excess heterozygosity due to outbreeding. Although geographic patterns are seen in the average north/south percent assignment values between groups as defined by AJ or SJ, grandparental world region of origin, or GCO, within each group there is high variability among individual assignment values. Thus, even based on data from a small marker set, AJ is not a homogeneous population. The north/south gradient in AJ may be a reflection of the pre-existing north/south gradient in European host populations (recently shown in other studies using large numbers of SNPs) with which Jews admixed slowly. We also demonstrate the utility of including purported parental populations when attempting to detect population substructure within closely related populations.

Mutation meltdown of mitochondrial DNA and Neanderthal extinction.

There is emerging evidence that mitochondrial DNA (mtDNA) plays and integral role in the evolution of the human species. Although contentious, recent phylogenetic studies of modern humans implicate genetic variation of mitochondrial DNA (mtDNA) as a major factor underpinning the climatic adaptation of across the globe. Greater sequence diversity in the MTATP6 gene in arctic populations led to the idea that specific mtDNA polymorphisms cause subtle uncoupling of the respiratory chain, with the subsequent generation of additional heat being adaptive in northern climes. Our knowledge of mtDNA and its affect on adaptability may help us to understand how modern humans have survived their early ancestors. Here, we characterise the mtDNA of one of these extinct hominids. Neanderthals are the closest hominid relatives of modern humans, who up until 30,000 years ago coexisted in Europe and western Asia. Recently, over 1Mb of DNA was successfully extracted and characterised from the Vi-80 Neanderthal fossil. We reanalysed 2,705 base pairs of mtDNA in order to examine the hypothesis that mitochondrial dysfunction contributed to the Neanderthals demise. We identified thirty-two nucleotide differences from the modern human mtDNA reference sequence and by treating the Vi-80 as a diagnostic sample leads us to the conclusion that sequence variants that are highly likely to be artifacts, and a large proportion of the remaining mutations could be due to nuclear pseudogene amplification. We did identify a potentially deleterious variation; however more study may be needed to ascertain the effect of mitochondrial dysfunction on Neanderthal survival.

Early Siberian Maternal Lineages in the Tubalar of Northeastern Altai Inferred from High-Resolution Mitochondrial DNA Analysis

At the hight of the last glaciation (~18 kya) Siberians were confined to the southern strongholds, which were areas of continuous occupation, and where immediate ancestors of the Uralic, Kettic and Altaian language groups differentiated. To better understand the evolutionary relationships between the earlier and contemporary Siberians, we focused on the northern Altaic prehistory preserved in the mtDNA diversity of the Tubalar, until recently representing a typical hunting-gathering population. The present study includes 139 Tubalar. All mtDNAs were subjected to high-resolution SNP analysis, followed by complete sequencing of selected mtDNA samples. We showed that the core of the Tubalar genetic makeup proved to be a mixture of west (H8, U4b, U5a1, and X2e) and east Eurasian (A and B1) haplogroups derived from macrohaplogroup N, and Siberian derivatives of the macrohaplogroup M identifiable by subhaplogroup-specific mutations. For example, among the 36 Tubalar mtDNA samples that belong to haplogroup D, 10 (28%) harbored diagnostic markers of the subhaplogroup D3a2a shared with the Chukchi and Eskimos. This finding verified at the complete sequence level we attributed to ancient link between early Siberians, who underwent pronounced differentiation in the Altai-Sayan region, and some of the Eskimo tribes. A comparison of the mtDNA data generated through the course of this study with published complete sequences has contributed essentially to parsimonious phylogenetic structure of mtDNA evolution in west Siberia. Specifically, northeastern Altai appears to be a good candidate for the ancestral homeland of the haplogroup U4b, which is apparently ancient European. For some haplogroups, such as X2e, the relatively recent arrival to the Altai region is more likely.

Sex-specific gene flow between Pygmy and non-Pygmy populations

Cultural traditions and preferences may drive sex-specific gene flow among human populations. We have examined sex-specific gene flow between Mbuti Pygmies, a hunter-gather population, and surrounding agriculturist groups, the Alur, Hema, and Nande, which all reside in Central Africa. We used 18 lineage-defining Y chromosome SNPs and HVS1 mitochondrial DNA sequence information to examine patterns of gene flow among these groups. Mbuti Pygmy males have more diverse Y chromosome lineages (Mbuti Pygmy [n = 28]: = 0.229; Alur [n = 10]: 0.193; Hema [n = 18]: 0.178; Nande [n = 15]: 0.090) and slightly less mtDNA diversity than neighboring groups (0.020, 0.023, 0.025, 0.022 in Mbuti Pygmy, Alur, Hema, and Nande groups, respectively). The majority of Mbuti Pygmy males have a Y haplotype characteristic of Mbuti Pygmies (B2b); however, more than 30% of Pygmy males exhibit Y haplotypes associated with Bantu-speaking agricultural populations (E3a lineage). Conversely, no agriculturist males exhibit Y haplogroups associated with Mbuti Pygmy populations but instead have derived Y haplogroups characteristic of Bantu agriculturalists (E2, E3a). Pairwise FST was calculated among all populations using Y haplogroup frequency and HVS1 mtDNA sequence data. YDNA and mtDNA FST values between Mbuti Pygmy and non-Pygmy groups (Alur, Hema, and Nande) were 0.278, 0.355, and 0.217 (for YDNA) and 0.088, 0.239 and 0.217 (for mtDNA), respectively. A Mantel test between pairwise FST matrices showed no significant correlation ((r = 0.27; p 0.35), which indicates that patterns of genetic differentiation differ between Y chromosome SNPs and mtDNA sequence patterns. These results also suggest no emigration of Mbuti Pygmy Y chromosomes into surrounding groups but immigration of non-Mbuti Pygmy Y chromosomes into the Mbuti Pygmy population.

Population Structure in Mongolia from a Mitochondrial DNA Perspective.

Mongolia has experienced a complex series of demographic movements over the past 10-20 millennia that have shaped the patterns of its modern human genetic variation. However, modern populations in Mongolia have not been extensively studied for DNA diversity, nor has the genetic contribution of Mongolians to the gene pools of contemporary populations in Southeast Asia and Oceania been fully resolved. Archaeological evidence from as early as the late Neolithic suggests the presence of both West and East Eurasian cultures in this region. Later demographic movements involving the emergence of the Mongolian and later Manchu Empires have further convoluted Mongolias population structure. To clarify the complex population history of Mongolia, we analyzed variation in the mtDNAs of 190 individuals from several Mongolian ethnic groups, including the Uriankhai, Zakhchin, Derbet, Khoton and Khalkha. We screened all samples for phylogenetically informative coding region SNPs and sequenced HVSI to assess control region variation in them. Our data suggest that the mtDNA diversity present in our population is consistent with the general pattern of variation observed in East Asia, with the most frequent haplogroups being C, D and G. Haplogroup variation in Mongolian ethnic groups reveals considerable maternal diversity with a predominance of basal M types. Interestingly, the Mongolians also possessed West Eurasian haplogroups, such as H, J and K, which are not commonly observed in East Asia, even at low frequencies. The main ethnic group in Mongolia, the Khalkha, was highly variable with respect to mtDNA haplotypes in comparison with the other ethnic groups, and clearly distinct from the Khoton and Zakhchin, as evidenced by distance measures. Overall, these data provide insights into the origins and affinities of these populations, their relationships with East Asian groups and neighboring Turkic speaking groups, including indigenous Altaians, and their possible role in the peopling of the Americas.

Allocation of YSTR Microvariant Alleles to Y-Chromosome Binary Haplogroups.

Y-chromosome short tandem repeat (YSTR) loci are used extensively in studies of population substructure, temporality of population dynamics, and forensic identification. The occurrence of non-consensus YSTR alleles, such as unusually short alleles or partial insertion/deletion events (microvariants), have been used successfully as indicators of common ancestry among YSTR haplotypes, exposing further levels of phylogenetic substructure with restricted geographic distributions. However, the high variability of STR loci can potentially lead to false associations due to homoplasy (ie, recurrent mutation). Thus, YSTR haplotypes are best interpreted within the context of the binary marker defined Y-chromosome phylogeny. To identify YSTR microvariant alleles potentially useful for elucidating further phylogenetic substructure within binary haplogroups, we have assessed the haplogroup affiliation of microvariant alleles found at informative frequencies in public YSTR databases for the following YSTR loci: DYS385, DYS392, DYS441, DYS446, DYS447, DYS449 and DYS464. We report haplogroup affiliations for each variant allele and geographic origins of representative samples.

L1c2a, the (African) Haplogroup With The Longest Mitochondrial Genome!

Haplotypes derived from the maternally-inherited mitochondrial DNA (mtDNA) control region are often employed as a first step in determining phylogenetic-relevant samples that could be selected for additional coding region testing. Using the currently defined world mtDNA haplogroup tree, researchers can assign these haplotypes to specific branches, paying particular attention to novel mutations that could assist in identifying new subclades. During a recent survey of the nearly 58000 mtDNA control region haplotypes currently present in the publicly accessible Sorenson Molecular Genealogy Foundation database, we observed a small number of mtDNAs (n=16) characterized by the presence of unusually long insertions of up to 200 bases. A small subset of these particularly long mtDNA haplotypes shared an identical insertion of 15 bases. Genealogical analysis combined with haplogroup prediction confirmed that these haplotypes shared a common African origin. Additionally, based on the pedigree data gathered, we determine the donors were not closely related. Moreover, through the analysis of complete mtDNA sequences, we conclude that the newly defined haplogroup is most likely of recent origin. As reported in this study, insertions of more than 10 bps are quite rare in the general population and in the published literature, thus providing an interesting case work in population and possibly future disease studies.

Mitochondrial DNA footprints in modern Mongolia.

Although Mongolia is one of the most sparsely populated countries in the world, it is located at a pivotal crossroad between the four corners of Asia (including the well-known Silk Road) and has been characterized throughout history by events that greatly added to its current cultural and ethnic diversity. Among these, perhaps one of the most significant happening was the ambitious expansion strategy employed by Mongolias most prominent personality, Genghis Khan, whose empire eventually stretched across all of modern-day China, a portion of modern Russia, Southern Asia, Eastern Europe and the Middle East. In 2007, through a well-planned collection effort, researchers at the Sorenson Molecular Genealogy Foundation and the National University of Mongolia were able to gather over 3,000 DNA samples, informed consents, and genealogical data throughout the country of Mongolia, including samples from 21 distinct tribal or ethnic populations. All the samples were sequenced for the three hypervariable segments of the mitochondrial DNA (mtDNA) control region to assess the genetic composition of modern Mongolia. The most common mtDNA haplotypes are typical of haplogroup C, which is frequent throughout Eastern Asia. However, nearly 40% of the observed mtDNA lineages are of Western Eurasian origin, including a significant frequency (~7%) of haplogroup H - the most common in Europe. The high prevalence of Western Eurasian lineages could be a remnant from Genghis Khans conquering efforts, trade and cultural exchanges along the Silk Route. To assess the extent of recent gene flow that could account for the elevated levels of Eurasian haplogroups within Mongolian populations, we have examined genealogical data of samples representative of Western Eurasian haplogroups.

Y chromosome microsatellite haplotypes in the Hutterite founders.

The current population of >12,000 Schmiedeleut Hutterites are descendants of 38 male founders who were born between 1700 and 1830 in Europe. Only 12 of these founders, each with a unique surname, have living male descendants related through male-only lineages. DNA samples were available in our laboratory for 75 male descendants of 11 of the 12 founders, accounting for 673 independent paternal meioses. We genotyped 9 microsatellite loci, which included a mean of 6.8 (range 2-23) males per lineage to evaluate potential relationships between the founders. Fourteen different haplotypes were identified, with an average of 3.5 (range 1-8) pairwise differences between haplotypes. All descendants within each of 9 lineages had identical Y haplotypes. Descendents of two of these lineages, 2 and 10, had the same haplotype despite different surnames, suggesting possible relatedness between the founders of these two lineages. Descendants of two lineages, 6 and 11, each carried three distinct haplotypes. Within each of these lineages the haplotypes differed from the ancestral haplotype by one repeat size at two loci. Additional male descendants in lineages 6 and 11 were then genotyped for the discrepant microsatellites, confirming the presence of three Y haplotypes each in lineages 6 and 11. The one mutation arose at each of four loci: DYS388, DYS389II, DYS390, DYS393. Three mutations were gains of one repeat; it was not possible to determine if the fourth mutation was a gain or loss of one repeat. The ancestral haplotypes in these two lineages are identical at four microsatellite loci; the alleles at the other five loci differ by one repeat size. The average mutation rate at these 9 loci was 0.00066 (95% CI 0.00015-0.0013), similar to other estimates. These data suggest that the founders of lineages 2 and 10 may have been related through paternal lines and that surnames do not strictly correspond to unique Y chromosomes. Moreover, certain ancestral haplotypes (i.e., those in lineages 6 and 11) may be more prone to mutation. Supported by NIH grants HD21244 and HL085197.

Genetic History of human populations of East African inferred from mtDNA and Y chromosome analyses.

Evidence from genetic, paleobiological, and archaeological studies suggest that Africa, especially East Africa, is most likely to be the cradle of the modern human species. Despite this fact, very little is currently known about genetic diversity in African populations in general, and East African populations in particular. Genetic data demonstrate that the patterns of genetic variation in East African populations are complex. All four major language families spoken in Africa (Afro-Asiatic, Nilo-Saharan, Niger-Kordofanian, and Khoisan) are found in the region. As part of a large study of population genetic diversity of East and Northeast Africa, we examined Y chromosome genetic diversity (to ascertain paternal lineages) as well as mitochondrial genetic diversity (to ascertain maternal lineages) in 1200 - 1500 individuals from ~ 40 Tanzanian, Sudanese, and Kenyan populations. For the Y chromosome analysis, we genotyped 60 UEPs (analyzed in a hierarchical manner to construct haplotypes) in a total of ~1500 male individuals. In order to infer ages of lineages and migration patterns, we further genotyped the individuals for 16 Y chromosome microsatellites. For the mtDNA analysis, we sequenced the mitochondrial D-loop in a total of 1200 individuals from the same populations, and for 200 individuals, we did complete mitochondrial genome sequencing. We compare our results with published results of studies from other parts of Africa and the Middle East. Our results indicate that East African populations have some of the most ancestral Y chromosome and mtDNA lineages in Africa, suggesting that they may have been an ancient source of dispersion throughout Africa. Additionally, we find evidence for ancient geneflow between East Africa and the Middle East. We also ascertained the effect of the Bantu-expansion and signature of recent migration of Cushitic-speaking groups originating from Ethiopia on peopling of East Africa.

Analysis of mtDNA and Y-chromosome haplogroups in Mexican Mestizos and Amerindian groups.

The Mexican population is mainly conformed by Mestizos, individuals with a genetic background consisting of Amerindian, European and African contributions. Genetic heterogeneity in Mexicans results from a complex demographic history that started with the peopling of North and Central America about 15,000 yrs ago, including the settlement of at least 60 different indigenous groups in Mexico, regional differences in admixture dynamics after colonization by Spaniards in the XVI century, epidemics and migration. Y chromosome-specific and mitcohondrial (mt) DNA polymorphisms are useful to help understand the genetic structure and history of human populations, due to their uniparental inheritance and lack of recombination. In order to refine the portrait of genetic variability derived from the Mexican Genome Diversity Project, we are characterizing maternal and paternal lineages participating in admixture. For this we included genotypic data from 163 mt SNPs and 123 Y chromosome SNPs present in the Illumina Human1M chip of 450 individuals, 300 mestizos from six states located in different regions: Northern, Central and Southern; and 150 individuals from different Amerindian groups (Tepehuanes, Zapotecos and Mayas). With this information, we are measuring genetic diversity using Fst and AMOVA analysis. Admixture analysis includes average and individual ancestral contribution estimates using autosomal SNPs. Initial results show that in our Mestizo sample, 88% of the mt haplogroups are Amerindian (A, B, C or D), and the rest includes European and African lineages. We have identified differences in proportions of each haplogroup in both Mestizos and Amerindians. Knowledege about the distribution of mt and Y-chromosome haplogroups in Mexican Mestizos and Amerindian groups, will generate valuable information to better understand genetic relationships between Mexicans and other Latin American populations. In addition, it may contribute to strengthen analysis in association studies of common complex diseases.

The origin of Native Americans from a mitochondrial DNA viewpoint.

America, the last continent to be colonized by modern humans, is characterized by an extraordinary linguistic and cultural diversity. Until recently, it was generally believed that starting around 13,500 years ago, the first Paleo-Indians arrived from Beringia, passing through an interior ice-free corridor in western North America, and spread rapidly all the way to Tierra del Fuego. Today, we realize that the peopling of the Americas involved a much more complex process. As for the maternally transmitted mitochondrial DNA (mtDNA), it has been clear since the early nineties that Native Americans could be traced back to four major maternal lineages (haplogroups) of Asian affinity. These were initially named A, B, C and D, and are now termed A2, B2, C1 and D1. More than 95% of living Native Americans belong to these four haplogroups, which can be considered pan-American, because they are shared by North, Central and South American populations. Later, five additional maternal lineages were discovered and named X2a, D2, D3, C4c, and D4h3. These less common or rare haplogroups are restricted only to some Native American populations or geographic areas and bring the overall number of Native American mtDNA lineages to nine. Our comprehensive overview of the four pan-American branches of the mtDNA tree suggests a scenario with a human entry and spread into the Americas from Beringia about 20,000 years ago, and preliminary data raise the possibility that the uncommon five Native American haplogroups might have marked additional migratory events from Asia or Beringia. Overall, through a combined analysis of modern and ancient Native American mtDNA, we are making an effort for reconstructing the complex pre-Columbian history at both macro- and micro-geographic levels.

Identifying genes affecting normal variation in human facial features using admixed populations.

Seven selection-nominated candidate genes (COL11A1, LMNA, FGFR1, FGFR2, TRPS, BRAF, FLNA) known to be involved in Mendelian craniofacial dysmorphologies and to have high allele frequency differences between West African and European populations were tested for admixture linkage to normal facial feature traits. The sample consists of 254 subjects (n=131 African Americans, n=123 Brazilians) of West African and European genetic ancestry. Each individual was genotyped at 176 ancestry informative markers (AIMs), which allowed for proportional estimation of genetic ancestry from four parental populations and adjustments for admixture stratification.
3D images of faces were acquired using the 3dMDface imaging system. 3D coordinate data were collected from 22 landmarks placed on each image using the 3dMDPatient software. The 231 possible pairwise landmark distances were scaled to the geometric mean and then analyzed using Euclidean Distance Matrix Analysis.
We used both ANOVA and ADMIXMAP to control for admixture stratification and to test for associations between the 231 pairwise landmark distances and 183 AIMs, using sex, height and BMI as covariates. We used a four-population model (West African, European, East Asian, and Native American).
There is a strong concordance between the ANOVA and ADMIXMAP results. Many landmark distances, particularly on the mouth and nose, were significantly associated with genetic ancestry. Additionally, three of the candidate genes show no effects on pairwise landmark distances while four show distinct patterns of association. For example, FGFR2 is associated primarily with the length of the face. These results represent the first identification of the first genes affecting normal variation in facial features.

Ethnicity-Confirmed Genetic Structure in New Hampshire.

Genetic population structure is known to result from shared ancestry. Though there have been several studies of genetic structure within and among different geographic regions and ethnic groups, little is known of the genetic structure of highly admixed US populations or whether the structure is concordant with self-reported ancestry. In this study, 1529 single nucleotide polymorphisms (SNPs) from 864 healthy control individuals from New Hampshire were measured as part of a bladder cancer epidemiology study. The SNPs were from approximately 500 cancer susceptibility genes scattered throughout the genome. Of these, 960 Tag SNPs were used to cluster individuals using the Structure algorithm for between 2 and 5 subpopulations. Subtle genetic structure was found, suggesting the appropriate number of subpopulations to be either 4 or 5 (FSTs 4 populations: 0.0377, 0.0399, 0.0363, 0.0340; 5 populations: 0.0452, 0.0536, 0.0585, 0.0534, 0.0521). We coded the individuals self-reported ancestries in a genotype fashion (i.e. 0= not reporting that ancestry, 1= reporting part that ancestry, 2= reporting only that ancestry) and conducted a Spearmans rank correlation between each ancestry and the structure q value, which represents the proportion of an individual that originated from a certain genetic subpopulation. Those of Russian, Polish and Lithuanian ancestry most consistently clustered together. The ancestry results support either 4 or 5 subpopulations. In order to investigate linkage disequilibrium (LD), the complete set of SNPs from the 7 most densely genotyped genes were used to make haploview plots between the different groups. The results vary by gene, though for one gene in particular, GHR, the results are very different for 4 subpopulations. These results suggest that despite New Hampshires admixture and presumed homogeneity, there are 4 or 5 distinct genetic subgroups within the population that can be linked to self-reported ancestry and display differences in patterns of LD.

Inference of human demographic parameters using haplotype patterns from genome-wide SNP data.

Accurate inference of human demographic history from genetic data is essential for identification of single nucleotide polymorphism (SNP) association with disease and for inference of natural selection. Haplotype diversity and haplotype sharing carry additional demographic information to that obtainable from SNP frequency spectra, and so we propose a novel method using haplotype summary statistics to fit demographic models to genome-wide SNP data. We divide the genome into 0.25 cM windows and for each we tabulate the number of distinct haplotypes and the frequency of the most common haplotype. We summarize the data by the genome-wide joint distribution of these two statistics. Coalescent simulations are then used to evaluate whether different demographic models are compatible with the observed data. Application of our method to simulated data shows that our method can reliably infer parameters from complex demographic models (such as bottlenecks) and is relatively robust to the levels of SNP ascertainment bias found in many genome-wide datasets. We have applied our method to data collected by the International HapMap Consortium and find that a bottleneck model best fits the CEU population. We have also analyzed a large dataset consisting of Affymetrix 500k data from ~2,900 individuals with ancestry from Taiwan, Japan, India, Mexico and many European countries. Since this dataset includes ~2,300 European individuals, we are able to study haplotype patterns at a fine scale within Europe. Interestingly, we find that within Europe there is a south-to-north gradient with decreasing levels of haplotype diversity moving north, consistent with south to north migrations. We also find that the southwestern European sample has higher haplotype diversity than the southeastern European sample. Additionally, a higher proportion of haplotypes are shared between the southwestern European sample and the Yoruba sample than between southeastern European sample and the Yoruba sample. These two patterns are consistent with recent admixture across the Mediterranean from Northern Africa.

Genome wide analysis and heritability estimation of intelligence in the International Multi-centre ADHD Genetics (IMAGE) study.

Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterised by symptoms of inattention, hyperactivity and impulsivity. There is growing evidence of heterogeneity in its etiology, pathophysiology and clinical expression. One approach to resolving heterogeneity involves the identification of endophenotypes, intervening variables that might mediate pathways between specific genes and clinical phenotype. IQ is a candidate endophenotype for ADHD. Genome-wide linkage analyses of full scale IQ and IQ subscales were performed in the International Multi-centre ADHD Genetics (IMAGE) study including 1094 families with 1094 DSM-IV combined type ADHD probands and their 1441 siblings (unselected for ADHD status). IQ was measured using five subscales of the WISC-IIIR scale. The full scale prorated IQ score and the five subscales were used as quantitative traits for linkage analysis. 5,407 autosomal SNPs were used to run multipoint regression-based linkage analyses using MERLIN. The h2 estimates from the IQ subscales and the full IQ score ranged from 31% to 100%. Three suggestive linkage signals were found (LOD scores 2, p values 0.001) on chromosomes 7, 9 and 14 for three different subscales. Previously, two regions on chromosomes 7 and 14 were reported as being associated or linked to IQ. Our results, though only suggestive, suggest the presence of additional genetic variants contributing to the variance of IQ in ADHD.