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Friday, October 17, 2014
Analysis of Hinxton2 - ERS389796
Hinxton2, or ERS389796, is one of five ancient English genomes stored at the Sequence Read Archive under accession number ERP003900. However, this analysis is based on the genotype file of Hinxton2 available at Genetic Genealogy Tools. For more information and some speculation about these genomes see my earlier blog post here.
Interestingly, f3-statistics in the form f3(Mbuti;Hinxton2,Test) show that Hinxton2 shares most genetic drift with present-day Danes and Norwegians. Please refer to the relevant spreadsheets below.
Shared drift stats of the form f3(Mbuti;Hinxton2,Test) - Eurogenes dataset
Shared drift stats of the form f3(Mbuti;Hinxton2,Test) - Human Origins dataset
Eurogenes K15 4 Ancestors Oracle results
See also...
Analysis of Hinxton3 - ERS389797
Analysis of Hinxton4 - ERS389798
Analysis of Hinxton5 - ERS389799
Hinxton ancient genomes roundup
Sunday, October 12, 2014
Ancient genomes and the calculator effect
Several ancient genomes have been posted online as text files and uploaded to GEDmatch over the last couple of weeks, and many more are likely to follow in the future. A lot of people have already taken this opportunity to analyze these files with various online ancestry tools, usually DIY calculators.
That's actually not a bad way of doing things, as long as everyone's aware that almost all of these calculators produce biased results. They produce biased results because they violate a very basic rule of science, which is this:
Do not test more than one variable at a time.Obviously, the variable we want to test with these calculators is ancestry. However, when the reference samples are tested in a different way to the test samples, which is what usually happens, then this adds another variable to the proceedings. As a result, we simply can't compare the results of the reference samples to those of the test samples.
I know that a lot of people find this difficult to grasp, and many just seem hell bent on not grasping it. However, anyone who isn't completely insane, and takes five minutes out of their day to try and understand the concepts involved, has to agree that this is a real problem. It can be proven empirically, like I did over two years ago (see here).
I suspect that a lot of confusion has been caused by the fact that the people who were used as reference samples in the making of the various DIY calculators saw highly accurate results when running them, and so assumed everything was fine. The accuracy of the DIY calculators for such people is indeed impressive, and I show that at the link above, but unfortunately the story is very different for everyone else.
Here's the good news: the Eurogenes calculators don't suffer from the calculator effect. That's because the reference samples are treated in the same way as the test samples, so there's only one variable: ancestry. What this means is that when you run a modern or ancient genome with a Eurogenes calculator you can confidently compare the result to those of the reference samples (provided enough SNPs are used), and then be able to make sensible inferences about its genetic origins.
Wednesday, October 8, 2014
Analysis of an ancient genome from Hinxton
I've just added an ancient sample from Hinxton, England, to my burgeoning ancient genomes collection. It's a pre-publication release freely available here as ERS389795. Thanks to Felix C. for breaking the news. We've both called this sample Hinxton1.
Unfortunately, its archeological context is a mystery to me, but it's possibly one of the ancient genomes mentioned in the recent Schiffels et al. ASHG abstract (see here).
In terms of genome-wide genetic structure, Hinxton1 is most similar to present-day Orcadians, Irish, western Scots, Icelanders and western Norwegians, more or less in that order. However, it's fairly distinct from the modern inhabitants of England, or at least those in my datasets, who mostly come from Kent and Cornwall.
Please note, this analysis features two different datasets: Eurogenes and Human Origins. Eurogenes, which is my own dataset, includes more populations than Human Origins, and is based on SNPs used in commercial ancestry and medical work. On the other hand, Human Origins shows a more varied sampling strategy, and is based on SNPs specifically chosen for population genetics.
Shared drift stats in the form f3(Mbuti;Hinxton1,Test) - Eurogenes dataset
Shared drift stats in the form f3(Mbuti;Hinxton1,Test) - Human Origins dataset
Eurogenes K15 4 Ancestors Oracle results
See also...
Analysis of Hinxton2 - ERS389796
Analysis of Hinxton3 - ERS389797
Analysis of Hinxton4 - ERS389798
Analysis of Hinxton5 - ERS389799
Hinxton ancient genomes roundup
Wednesday, August 6, 2014
Haplotype-based PCA of West Eurasia and Europe
The Principal Component Analyses (PCA) below are based on pairwise Identity-by-Descent (IBD) sharing inferred with fastIBD. My aim was to create PCA that took into account haplotype information to see how they might differ from similar plots based on unlinked loci (such as here).
Clearly, they're less reflective of geography and isolation-by-distance, and instead more profoundly influenced by relatively recent isolation, founder effects and/or rapid expansions, especially in Northern and Eastern Europe, and in particular among the Finns, Balts and East Slavs. Unfortunately, I don't have time to say much more about these results. But feel free to post any questions or observations in the comments below. I have done something very similar in the past, but with far fewer samples (see here).
Please note, to ensure that the PCA were as informative as possible I was forced to drop several populations that produced unusual results, probably because of extreme founder effects. This is why, for instance, there are no Ashkenazi Jews on any of the plots, and the only Finns you'll find come from western Finland.
I'll try this again on a much larger dataset when more samples come in, and also include populations from Central and South Asia.
Update 7/8/2014: Apparently some people are wondering what the plots with Finns and Jews look like. Here you go...
Tuesday, May 13, 2014
PCA projection bias in ancient DNA studies
Many Principal Component Analyses (PCA) in papers on ancient genomes clearly suffer from projection bias. However, most people don't seem to understand this problem and the impact it can have on the interpretation of the data.
Here's a demonstration of this effect using two PCA. In the first PCA, La Brana-1, a Mesolithic genome from Iberia, was projected onto the PC eigenvectors computed with modern individuals from the HGDP. However, in the second PCA the ancient genome was run together with these samples. Note the clear difference between the two outcomes.
The second outcome does look a bit strange, but it's actually the correct one, because it's now an established fact that Mesolithic hunter-gatherers, like La Brana-1, were clearly outside the range of modern European, and indeed West Eurasian, genetic variation.
For a technical discussion of this problem, which is also sometimes known as "shrinkage", refer to Lee et al. 2012.
The above experiment with La Brana-1 was run with PLINK 2, which is freely available here, using just over 16K SNPs. Only markers with a read depth of 4x or higher were considered, and the marker set was further pruned to account for no-calls (--geno 0.005), LD (--indep-pairwise 200 25 0.4), and minor allele frequency (--maf 0.05).
Thursday, April 3, 2014
The really old Europe is mostly in Eastern Europe
A new version of the Lazaridis et al. ancient genomes preprint has just appeared at arXiv (see here). It includes several new Principal Component Analyses (PCA), TreeMix graphs, a ChromoPainter/fineSTRUCTURE co-ancestry matrix, and an updated ADMIXTURE analysis. The revised text underlines the relatively close genetic relationship between indigenous European hunter-gatherers and present-day Eastern Europeans:
The co-ancestry matrix (Fig. S19.3) confirms the ability of this method to meaningfully cluster individuals. We highlight two clusters: Stuttgart joins all Sardinian individuals in cluster A and Loschbour joins a cluster B that encompasses all Belarusian, Ukrainian, Mordovian, Russian, Estonian, Finnish, and Lithuanian individuals. These results confirm Sardinia as a refuge area where ancestry related to Early European Farmers has been best preserved, and also the greater persistence of WHG-related ancestry in present-day Eastern European populations. The latter finding suggests that West European Hunter-Gatherers (so-named because of the prevalence of Loschbour and La Braña) or populations related to them have contributed to the ancestry of present-day Eastern European groups. Additional research is needed to determine the distribution of WHG-related populations in ancient Europe.
Fig. S10.5 suggests that the main axis of differentiation in Europe when the subcontinent is considered as a whole may tend to Northeastern Europe rather than SSE/NNW (8). This is consistent with our analysis of ancestry proportions in European populations (Fig. 2B, Extended Data Table 3) which indicate a cline of reduced EEF (and increasing WHG) ancestry along that direction.
Citation...
Iosif Lazaridis, Nick Patterson, Alissa Mittnik, et al., Ancient human genomes suggest three ancestral populations for present-day Europeans, arXiv, April 2, 2014, arXiv:1312.6639v2
Wednesday, January 8, 2014
Another look at the Lazaridis et al. ancient genomes preprint
I've now had a chance to look over the Lazaridis et al. preprint a few times, and also take part in several online discussions about the results, at these blogs and elsewhere. So I thought it might be useful to put together another post on the paper to report what I've learned and reiterate a few points. First of all, to understand the results, it's really important to known what the four main ancestral components in this study represent:
- West European Hunter-Gatherer (WHG), based on an 8,000 year-old genome from Loschbour, Luxembourg
- Ancient North Eurasian (ANE), based on a 24,000 year-old genome from South Siberia (dubbed Mal'ta boy or MA-1)
- Early European Farmer (EEF), based on a 7,500 year-old genome from Stuttgart, Germany, belonging to the Neolithic Linearbandkeramik (LBK) culture
- Eastern non-African (ENA), this basically means East Eurasian, and is based on samples of present-day Onge, Han Chinese and Atayal from Taiwan
Now, from what I've seen online, many people seem to think that ANE is more East Asian than European, and can be considered a signal of pretty much any population expansion from the east into Europe. This is not true. ANE is Amerindian-like, but actually also very similar to WHG. In fact, they're equidistant from ENA:
The results of Table S12.1 provide suggestive evidence that Onge share more common ancestry with hunter-gatherers than with Stuttgart. All statistics involving two hunter-gatherer populations have |Z|<0.9, so ancient Eurasian hunter-gatherers are approximately symmetrically related to Onge, and they are all more closely related to them than is Stuttgart.
We next consider the relationship of ancient samples to East Asia using the set (Ami, Atayal, Han, Naxi, She). East Asians are more closely related to all hunter-gatherers than to Stuttgart, but there are no significant differences between hunter-gatherers (all such statistics have |Z|<1.1) (Table S12.2).
...
We have conveniently labeled MA1-related ancestry “Ancient North Eurasian” because of the provenance of MA1 in Siberia, but at present we cannot be sure whether this type of ancestry originated there or was a recent migrant from some western region.
The various Uralic, Turkic and Mongolian groups expanding into Europe, usually after the Bronze Age, no doubt carried significant ENA, so these groups can't be the source of the fairly high levels of ANE across Europe today, because most Europeans lack ENA. Below is a graph based on two f4 tests, comparing ANE and ENA ancestry among Europeans, this time with the Han Chinese as ENA proxies. Note that most of the samples fall within a cline that runs from the Stuttgart sample to Estonians. The only outliers in the direction of the Han are groups from current or former Uralic and Turkic speaking areas of Europe.
ANE was actually present in Scandinavia during the Mesolithic, because Motala12, the 8,000 year-old hunter-gatherer genome from Sweden, has an ANE ratio of 19%. But this isn't enough to explain the ANE levels carried by most present-day Europeans, so it's very likely there were at least two expansions of ANE into Europe.
Considering that Loschbour and Stuttgart totally lack ANE, it's plausible that a major wave of ANE moved across much of Europe sometime after the early Neolithic, but obviously before the Uralic and Turkic expansions, which, as per above, were rich in ENA. Based on recently published ancient mtDNA evidence from Central Europe (see here), Lazaridis et al. propose that this timeframe was the Copper and/or Bronze Age.
This of course is the generally accepted Proto-Indo-European timeframe. Indeed, the theory I put forward in the previous blog entry (see here) that most of the ANE in Europe today was the result of the Proto-Indo-European expansion, probably from Eastern Europe, looks even better on closer inspection.
Note the elongated cline formed by the European samples running from WHG to EEF on Fig 2B, shown below. It correlates well with latitude, and very likely reflects northward migrations of Neolithic farmers into Europe from the Mediterranean Basin, followed by isolation-by-distance. In other words, this cline probably took thousands of years to form.
On the other hand, there is no cline running from WHG/EEF to ANE, but all of the Indo-European and/or Eastern European samples are fairly evenly lifted up towards ANE relative to a few outliers. These outliers are all southwestern Europeans: Basques, Pais Vasco (Basque Country) Spaniards, southern French and Sardinians.
Of course, southwestern Europe is the most distant part of the continent from the generally accepted Indo-European homeland near the middle Volga. Moreover, Basques don't speak an Indo-European language, while Sardinians were only Indo-Europeanized during historic times.
Indeed, even though a couple of tables in the study report considerable ANE ancestry among Basques and Pais Vasco Spaniards, the authors admit that this need not be the case. For instance:
We next attempted to fit individual West Eurasian populations as a mixture of Loschbour and Stuttgart, as representatives of Early European farmers and West European Hunter Gatherers.
Fig. 1B suggests that this is not possible, as most Europeans form a cline that cannot be reconciled with such a mixture [Davidski's note: I think they actually mean Fig. 2B]. Nonetheless, for Sardinians (Extended Data Table 1), the most negative f3-statistic is of the form f3(Test; Loschbour, Stuttgart), which suggests that at least some Europeans may be consistent with having been formed by such a mixture. We thus fit each European population into the topology of Fig. S12.6. Only Basques, Pais_Vasco, and Sardinians, can be fit successfully with this model. Fig. S12.8 shows a successful fit.
Most European populations cannot be fit as this type of 2-way mixture and, intuitively, this is due to their tendency (Fig. 1B) towards Ancient North Eurasians that is not modeled by such a mixture.
Another intriguing thing about the results shown in Fig 2B is that the expansions of ANE across Europe appear not to have disturbed the presumably Neolithic WHG/EEF cline to any great extent. What this suggests is that ANE was spread largely independently of EEF and even WHG. In other words, the groups that pushed ANE deep into Europe probably had very high ratios of this component. This also seems to be true for the groups that brought ANE to the Near East:
A geographically parsimonious hypothesis would be that a major component of present-day European ancestry was formed in eastern Europe or western Siberia where western and eastern hunter-gatherer groups could plausibly have intermixed. Motala12 has an estimated WHG/(WHG+ANE) ratio of 81% (S12.7), higher than that estimated for the population contributing to modern Europeans (Fig. S12.14). Motala and Mal’ta are separated by 5,000km in space and about 17 thousand years in time, leaving ample room for a genetically intermediate population. The lack of WHG ancestry in the Near East (Extended Data Fig. 6, Fig. 1B) together with the presence of ANE ancestry there (Table S12.12) suggests that the population who contributed ANE ancestry there may have lacked substantial amounts of WHG ancestry, and thus have a much lower (or even zero) WHG/(WHG+ANE) ratio.
So perhaps the 17,000 year-old Afontova Gora 2 (AG2) genome from Central Siberia, classified as part of the ANE meta-population by Lazaridis et al., is genetically the closest sample we have to the Proto-Indo-Europeans? Based on a couple of the PCA from Lazaridis et al. (below) and Raghavan et al. (see here), this genome doesn't appear to be 100% ANE. My very rough estimate is 85/15 ANE/WHG.
If my assumptions are correct here, then it's no wonder that this Bronze Age Danish sample (M4) from the recent Carpenter et al. paper (see here) shows a clear shift towards the Americans on the global PCA. M4 is better known as "the old man" from the giant Borum Eshøj barrow (see here), presumably built by some of the earliest Indo-Europeans in Scandinavia. We can probably expect such Afontova Gora 2-like results from many European samples archeologically linked to the early Indo-Europeans.
As for the first major expansion of ANE into Europe, here's an interesting map that I spotted in one of the online discussions on the paper, which shows the spread of microblade technology in almost all directions from around Lake Baikal just after the LGM (source). Among other things, it offers a very attractive explanation for the presence of ANE in Mesolithic Sweden, as well as the current distributions of Y-chromosome haplogroups R and Q (note that MA-1 belonged to R, which is the brother clade of Q).
But the problem with this scenario is the tight phylogenetic relationship between ANE and WHG. If the former expanded after the LGM from a refugium in South Siberia, then why is it so closely related to the latter, which presumably recolonized Europe from a Southern European LGM refugium, basically at the opposite end of Eurasia?
There also have been a lot of comments online about the potential correlations between ANE and certain clusters generated from modern samples with the ADMIXTURE software. I think it's obvious from just looking at the ADMIXTURE bar graph from Lazaridis et al. that ANE is linked in one way or another to the clusters that peak in Northeastern Europe, the North Caucasus, and South Central Asia (especially among the Indo-Iranian Kalash).
Below is the bar graph from the optimal ADMIXTURE run, the K=16. Note that ANE proxy MA-1 mostly shows membership in the cream and light blue clusters, which peak among the Kalash and Lithuanians, respectively. Click on the image to enlarge.
The Kalash-centered cluster, which actually first appears at K=14, and is more or less repeated in four runs, is particularly interesting, because it shows fairly similar distribution patterns to ANE. Note, for instance, that after South Central Asia it reaches its highest levels in the North Caucasus, which is where ANE also shows a major peak today (see here). Moreover, in Europe it's most pronounced in the east and north, but appears at comparatively trivial levels among the Basques, southern French and Pais Vasco Spaniards, and doesn't show up at all among Sardinians or the ancient European genomes.
However, it's often very difficult to make inferences about ancient population movements from ADMIXTURE results, and I think this is one of those cases. Just because this cluster peaks among the Kalash, doesn't mean that it has its origins within this group, or even in Asia. I'd say the most plausible explanation for its existence is that it represents ANE that expanded rapidly across Eurasia, probably during the early Indo-European dispersals, and today reaches its higher frequencies among some of the most isolated and genetically drifted recipients of this ANE gene flow (ie. those in the Caucasus and Hindu Kush).
By the way, the difference in ANE levels between southwestern Europeans and most other West Eurasians clearly shows on my own PCA and MDS maps. Below is the latest Eurogenes PCA of West Eurasia from a few months ago. Note the pronounced eastern shift among almost all the samples relative to the Basques, Pais Vasco Spaniards, and Sardinians. As per the f4 graph above, only in some instances is this shift also the result of significant ENA ancestry.
It's incredible what a few ancient genomes can add to the context of these sorts of analyses using modern DNA. I didn't really know what was causing this eastern shift when I posted the PCA, and guessed that it might simply be a lack of Mediterranean ancestry across Northern and Eastern Europe (see here).
I also just noticed that Razib posted two articles on the pigmentation traits of the ancient individuals (see here and here). The sample is tiny, but looking back, the fact that the Loschbour hunter-gatherer probably had blue eyes and dark skin, while, on the other hand, the Stuttgart farmer had relatively light skin, is actually quite remarkable.
We'll have a major story on our hands if several other hunter-gatherer genomes come back with similar results. It's just not something anyone would've predicted from modern DNA. Apart from that, there's also the slight shock factor of learning that our not too distant indigenous European ancestors were probably of a deep shade of brown. Imagine that, Europe might have only really lightened up and become white after Near Eastern migrants made their way over. Well, let's wait and see.
Citation...
Iosif Lazaridis, Nick Patterson, Alissa Mittnik, et al., Ancient human genomes suggest three ancestral populations for present-day Europeans, bioRxiv, Posted December 23, 2013, doi: 10.1101/001552
Raghavan et al., Upper Palaeolithic Siberian genome reveals dual ancestry of Native Americans, Nature, (2013), Published online 20 November 2013, doi:10.1038/nature12736
Carpenter et al., Pulling out the 1%: Whole-Genome Capture for the Targeted Enrichment of Ancient DNA Sequencing Libraries, The American Journal of Human Genetics (2013), https://dx.doi.org/10.1016/j.ajhg.2013.10.002
See also...
Ancient human genomes suggest (more than) three ancestral populations for present-day Europeans
The really old Europe is mostly in Eastern Europe
EEF-WHG-ANE test for Europeans
Mesolithic genome from Spain reveals markers for blue eyes, dark skin and Y-haplogroup C6
Monday, December 23, 2013
Ancient human genomes suggest (more than) three ancestral populations for present-day Europeans
This new preprint at bioRxiv is quite the Christmas present for those of us with a passion for European genetics and prehistory. It's the first paper to report on full genomes from Mesolithic and Neolithic Europe.
All of the successfully tested Mesolithic Y-chromosomes, one from Luxembourg and four from Motala, Sweden, belonged to haplogroup I. This probably won't come as a surprise to many people, as this marker was always the main candidate for Europe's indigenous Y-haplogroup. However, three of the results fell into haplogroup I2a1b, and none into I1, which is today the most common Y-haplogroup in most of Scandinavia.
What this suggests is that I1 expanded after the Mesolithic and replaced most of the I2a1b across Northwestern Europe. I'd say these were mostly expansions from North-Central Europe, although recent chatter on the web suggests that two distinct I1 lineages might have arrived in North-Central Europe from Eastern Europe at different times.
All of the Mesolithic mtDNA sequences belonged to haplgroups U2 and U5, which is line with past results. The single Neolithic sample, from a 7500 year-old Linearbandkeramik (LBK) site in Stuttgart, Germany, belonged to mtDNA haplogroup T2. Again, not very surprising considering what we've seen to date.
The genome-wide results, on the other hand, are not as straightforward. The basic upshot is that Northern Europeans are mostly of indigenous European hunter-gatherer origin, while Southern Europeans are largely derived from Neolithic farmers of mixed European and Near Eastern origin. But the authors identify a minimum of three ancestral populations from their stats (WHG, EEF and ANE), and four meta-populations from the available ancient data (WHG, EEF, ANE and SHG). Here are brief summaries of each of these groups:
West European Hunter-Gatherer (WHG): this ancestral component is based on an 8,000 year-old forager from the Loschbour rock shelter in Luxembourg (one of the individuals mentioned above belonging to I2a1b). The WHG meta-population includes the Loschbour sample and two Mesolithic individuals from the La Brana Cave in Spain. However, today the WHG component peaks among Estonians and Lithuanians, in the East Baltic region, at almost 50%.Below are the two most important figures from the paper: a) the three-way mixture model that is a statistical fit to the data, and b) a plot of the proportions of ancestry from each of the three inferred ancestral populations. As per above, East Baltic populations are the most WHG, which is somewhat curious, because they mostly carry Y-DNA R1a and N1c1.
Early European Farmer (EEF): apparently this is a hybrid component, the result of mixture between "Basal Eurasians" and a WHG-like population possibly from the Balkans. It's based on the aforementioned LBK farmer from Stuttgart, but today peaks at just over 80% among Sardinians. Apart from the Stuttgart sample, the EEF meta-population includes Oetzi the Iceman and a Neolithic Funnelbeaker farmer from Sweden.
Ancient North Eurasian (ANE): this is the twist in the tale, a component based on a previously reported genome of a 24,000 year-old Upper Paleolithic forager from South Central Siberia, belonging to Y-hg R*, and known as Mal'ta boy or MA-1 (see here). This component was very likely present in Southern Scandinavia since at least the Mesolithic (see the summary of SHG below), but only seems to have reached Western Europe after the Neolithic. At some point it also spread into the Americas. In Europe today it peaks among Estonians at just over 18%, and, intriguingly, reaches a similar level among Scots. However, numbers weren't given for Finns, Russians and Mordovians, who, according to one of the maps, also carry very high ANE, but their results are confounded by more recent Siberian admixture (see the discussion on the European outliers below). The ANE meta-population includes Mal'ta boy as well as a late Upper Paleolithic sample from Central Siberia, dubbed Afontova Gora-2 (AG2).
Scandinavian Hunter-Gatherer (SHG): this is a meta-population made up of Swedish Mesolithic and Neolithic forager samples from Motala and Gotland, respectively. It's a more easterly variant of WHG, with probable ANE admixture.
So if not for the ANE, we'd simply have a two-way mixture model between indigenous European foragers and migrant Near Eastern farmers, at least for most Europeans anyway. Moreover, the seemingly late and sudden arrival of ANE in much of Europe is important, because it's a smoking gun for a major population upheaval across the continent during the Late Neolithic/Early Bronze Age.
Interestingly, archeological data suggest that this was also the period which saw the introduction of new social organization and perhaps Indo-European languages across most of Europe. None of this was lost on the authors of the paper, but it appears they'd rather be cautious pending more ancient genomic data, because they chose not to explicitly mention the Indo-Europeans.
This study raises two questions that are important to address in future research. A first is where the EEF picked up their WHG ancestry. Southeastern Europe is a candidate as it lies along the geographic path from Anatolia into central Europe, and hence it should be a priority to study ancient samples from this region. A second question is when and where ANE ancestors admixed with the ancestors of most present-day Europeans. Based on discontinuity in mtDNA haplogroup frequencies in Central Europe, this may have occurred during the Late Neolithic or early Bronze Age ~5,500-4,000 years ago35. A central aim for future work should be to collect transects of ancient Europeans through time and space to illuminate the history of these transformations.
...
The absence of Y-haplogroup R1b in our two sample locations is striking given that it is, at present, the major west European lineage. Importantly, however, it has not yet been found in ancient European contexts prior to a Bell Beaker burial from Germany (2,800-2,000BC)12, while the related R1a lineage has a first known occurrence in a Corded Ware burial also from Germany (2,600BC)13. This casts doubt on early suggestions associating these haplogroups with Paleolithic Europeans14, and is more consistent with their Neolithic entry into Europe at least in the case of R1b15, 16. More research is needed to document the time and place of their earliest occurrence in Europe. Interestingly, the Mal’ta boy belonged to haplogroup R* and we tentatively suggest that some haplogroup R bearers may be responsible for the wider dissemination of Ancient North Eurasian ancestry into Europe, as their haplogroup Q relatives may have plausibly done into the Americas17.
No doubt, a lot of people will now be wondering about the main source of the ANE that apparently rushed into Europe at the onset of the metal ages. The Siberian steppe will probably be the favored option for many, since this is where Mal'ta boy and Afontova Gora-2 were dug up. However, I'm pretty sure the source was Eastern Europe.
First of all, as already mentioned, it seems that ANE was present in Sweden during the Mesolithic (Figure S12.7 shows around 19% ANE in the Motala12 sample). Secondly, despite the ANE and WHG being classified as separate ancestral and meta-populations, the differences between them appear to be clinal rather than discrete, which I think can be seen in the PCA and ADMIXTURE results from the study (see here and here). Thus, I'd expect a lot more ANE in Eastern Europe during the Mesolithic than in Scandinavia. Thirdly, it's likely that the ancestors of modern Uralic speakers were in Siberia very early, possibly during the Mesolithic, and they were probably East Eurasians aka. Eastern non-Africans (ENA), which ANE is not.
Indeed, latest linguistics research suggests that the pre-proto-Uralics migrated at some point from Siberia into the southern Urals, in far eastern Europe. The Uralics proper then expanded from the southern Urals, probably during the Bronze Age, both to the east and west, as far as the Baltic. This Uralic expansion is certainly reflected in the Lazaridis et al. data, and it's not the only relatively late migration into Europe that shows up in their stats.
While our three-way mixture model fits the data for most European populations, two sets of populations are poor fits. First, Sicilians, Maltese, and Ashkenazi Jews have EEF estimates beyond the 0-100% interval (SI13) and they cannot be jointly fit with other Europeans (SI12). These populations may have more Near Eastern ancestry than can be explained via EEF admixture (SI13), an inference that is also suggested by the fact that they fall in the gap between European and Near Eastern populations in the PCA of Fig. 1B. Second, we observe that Finns, Mordovians, Russians, Chuvash, and Saami from northeastern Europe do not fit our model (SI12; Extended Data Table 3). To better understand this, for each West Eurasian population in turn we plotted f4(X, Bedouin2; Han, Mbuti) against f4(X, Bedouin2; MA1, Mbuti), using statistics that measure the degree of a European population’s allele sharing with Han Chinese or MA1 (Extended Data Fig. 7). Europeans fall along a line of slope >1 in the plot of these two statistics. However, northeastern Europeans fall away from this line in the direction of Han. This is consistent with Siberian gene flow into some northeastern Europeans after the initial ANE admixture, and may be related to the fact that Y-chromosome haplogroup N 30, 31 is shared between Siberian and northeastern Europeans32, 33 but not with western Europeans. There may in fact be multiple layers of Siberian gene flow into northeastern Europe after the initial ANE gene flow, as our analyses reported in SI 12 show that some Mordovians, Russians and Chuvash have Siberian-related admixture that is significantly more recent than that in Finns (SI12).
The authors are actually referring to the Kargopol Russians from the HGDP in that quote. But from my own analyses with a wide variety of samples from Russia, I know that other Russians show similar levels of Siberian admixture to Belorussians, Ukrainians and Estonians.
In any case, this of course means that there are more than three ancestral populations for present-day Europeans, albeit not all of them influenced all Europeans. Also, it's very clear that to learn all the details about the peopling of Europe, these sorts of studies really need to start focusing on the large swath of land that stretches from present-day Poland to the Urals. In other words, Eastern Europe.
I was also going to discuss the genetically inferred pigmentation of the ancient individuals, but, because of the small sample size, there's not much to discuss at this stage. The Loschbour forager possibly had blue eyes (50% chance), but dark hair and skin. On the other hand, the Stuttgart farmer definitely had dark eyes and hair, but relatively light skin. I wonder if this swarthy hunter-gatherer skin complexion has anything to do with the fact that today lots of people from around the Baltic tan really well?
Citation...
Iosif Lazaridis, Nick Patterson, Alissa Mittnik, et al., Ancient human genomes suggest three ancestral populations for present-day Europeans, bioRxiv, Posted December 23, 2013, doi: 10.1101/001552
See also...
Another look at the Lazaridis et al. ancient genomes preprint
The really old Europe is mostly in Eastern Europe
EEF-WHG-ANE test for Europeans
First genome of an Upper Paleolithic human
ADMIXTURE analysis of Allentoft et al. and Haak et al. ancient genomes
Monday, December 16, 2013
West Eurasian cluster analysis: 13 clusters from 18 dimensions
I ran a quick Mclust analysis to get a better idea of the substructures in my recently updated dataset of West Eurasian samples. Mclust found that the optimal outcome was produced with 18 dimensions of genetic variation and 13 clusters, the latter of which are superimposed on a two dimensional MDS plot below. I chose the labels for the clusters myself and flipped the canvass to fit geography.
Here you can see the 13 clusters superimposed on all possible combinations of the 18 dimensions. Clicking on the image will take you to a 10.3MB PDF file.
It's interesting to note the presence of the very tight Jewish cluster, which includes Ashkenazi, Sephardic and Moroccan Jews. The Basques and Sardinians also cluster together, despite being clearly distinct from each other in the fist two dimensions. This is fascinating because these two groups have been mentioned a few times now in various studies and presentations as being the best modern proxies for Europe's Neolithic farmers.
The widespread Central and Eastern European cluster mostly includes individuals from populations that aren't easily characterized in these sorts of tests, and that's basically because they're of mixed origin. Indeed, I suspect things would look somewhat different in that part of the plot if I had more sizable numbers from Germany, Scandinavia, Poland and nearby areas.
Mclust can produce many more clusters than just 13 from the same data, but as per above, I wanted to see what would happen if it was asked to come up with the optimal solution. For more on this type of analysis check out the articles here, here and here.
Update 17/12/2013: On a related note, here's an Mclust analysis of West, Central and South Asia. The optimal result was obtained with 10 dimensions and 14 clusters. Please note that although some of the clusters have the same names as in the analysis above, they aren't the same clusters.
See also...
Eurogenes' North Euro clusters - phase 2, final results
Thursday, October 3, 2013
Tracing the Indo-Europeans
As far as I can tell, these videos came online only a few weeks ago. They're from a conference titled "Tracing the Indo-Europeans: Origin and migration", which was held in Copenhagen late last year as part of the Roots of Europe project. I've had a quick look at the selection below, and the impression I get is that the guest speakers would rather eat shards of glass than accept that the Indo-European homeland was in Anatolia (ie. the so called Anatolian hypothesis). Also, interestingly, in the last video, Kristian Kristiansen discusses the possibility that the origin of the Maritime Bell Beaker culture was in the Aegean region, and that it might have been Proto-Celtic. If the sound is too low, use VLC Media Player and crank up the volume.
Adam Hyllested: Indo-European homeland and dispersals: Contemporary linguistic evidence
Guus Kroonen: The linguistic heritage of the European Neolithic: Non-Indo-European words in Germanic
David Anthony: Early Indo-European migrations, economies, and phylogenies
Kristian Kristiansen: Trade, travels and the transmission of cultural change in the Bronze Age
Morten Allentoft: Using ancient DNA to study human evolution and migration
David Anthony: Wheeled vehicles, horses, and Indo-European origins
Kristian Kristiansen: The Bronze Age expansion of Indo-European languages
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