Anatolia_MLBA Seh_Gabi_ChL 0.200±0.043 Tepecik_Ciftlik_N 0.659±0.033 Yamnaya_Kalmykia 0.141±0.022 chisq: 11.425 tail prob: 0.408405 Full output MA2203 Seh_Gabi_ChL 0.179±0.065 Tepecik_Ciftlik_N 0.622±0.049 Yamnaya_Kalmykia 0.199±0.036 chisq: 12.914 tail prob: 0.299004 Full outputPlease note, however, that these mixture models are based on f4-statisctics. So, obviously, they're going to be affected by the same factors as described above that affect f4-statistics. Hence, despite the seemingly statistically sound output, the steppe admixture that you see there might not actually be admixture from the steppe. In fact, there's a good reason why I'm not shouting from the rooftops that I've just uncovered the presence of steppe ancestry in Bronze Age Anatolia, and thus confirmed the steppe or kurgan hypothesis positing that the Hittite and indeed Indo-European homeland was located in the Pontic-Caspian steppe. That's because I used a mixed bag of UDG-treated capture data and non-UDG-treated shotgun data. This is known to be a serious problem, which can skew the results of even the most robust analyses, and produce spurious statistics and Z scores. Nevertheless, I'm reasonably confident that my findings will eventually be confirmed with more and higher quality data from ancient Anatolia. Let's wait and see. See also... Late PIE ground zero now obvious; location of PIE homeland still uncertain, but...
search this blog
Friday, August 31, 2018
Focus on Hittite Anatolia
I computed a series of D-statistics on most of the currently available ancient samples from Central Anatolia - dating from almost the Epipaleolithic (Boncuklu_N) to the Hittite era (Anatolia_MLBA) - to try and get a better idea of who the Indo-European-speaking Hittites may have been. The full output as well as details about the key ancient samples used in this analysis are available here. See anything interesting? The most noteworthy statistics, I suppose, are those listed below, because they're significant (Z≥3) and organized chronologically.
However, the thing to keep in mind in regards to D-statistics, and the very similar f4-statistics, when looking for signals of mixture is that they may or may not produce significant Z scores because of several reasons, such as the choice of the outgroup, the choice of the reference samples and the phylogenetic relationship between them, or even the type, quality and density of the data being used.
Perhaps ironically, the D-statistics above suggest that the Neolithic Central Anatolians (Boncuklu_N and Tepecik_Ciftlik_N) were more European-like than those from the Bronze Age, and I suspect that this is one of the main reasons why the idea of Eastern European admixture (from the Pontic-Caspian steppe and/or Balkans) in Hittites is currently being rejected by the geneticists working on the problem. But this dilemma is easy to explain away by the fact that the Neolithic samples carry much higher ratios of Anatolian Epipaleolithic hunter-gatherer admixture and also other types of ancestry shared with and/or closely related to European hunter-gatherers and early farmers.
In other words, I'd say that most of the statistics are being confounded by deep phylogenetic relationships, and thus aren't very useful for solving the Hittite problem. Interestingly, though, that relationship to Europe is reversed somewhat in the D-statistics involving Anatolia_EBA and Anatolia_MLBA, with the latter showing significantly higher affinity to Eastern European Hunter-Gatherers (EHG) and Minoans.
Thus, in my opinion, to get a more complete picture it's also useful to look for patterns in the statistics, even those that, strictly speaking, don't reach significance. One way to do that is with linear models. So here are a few linear models based on some of my D-statistics. The relevant datasheet is available here.
Arguably, the most striking thing about these models is the position at the top of the graphs of the ancient populations from Central Asia and what is now Iran, and the gradually lower position of populations with progressively less of this type of ancestry. The most plausible explanation for this phenomenon is post-Boncuklu_N gene flow into Central Anatolia from the east, possibly as a continuation of something that was happening already since the Epipaleolithic, but becoming more intense during the Neolithic revolution, probably as a result of rapid population growth in and around the Fertile Crescent.
Indeed, I strongly suspect that one of the main reasons why we've been hearing so much lately about Iran as a likely candidate for the Indo-European homeland is this strong eastern signal in Bronze Age Anatolian DNA. If so, then this is likely to be a misunderstanding, because there are better explanations for it than the Indo-Europeans, such as the Hattians and Hurrians.
Another rather obvious outcome in my graphs is the relatively stronger affinity between the Bronze Age Anatolians and the ancient populations from Eastern Europe, including, and especially, those from the Pontic-Caspian steppe, compared to Tepecik_Ciftlik_N. In fact, looking at the Anatolia_EBA vs Tepecik_Ciftlik_N graph, I'd say that steppe admixture was already seeping into Central Anatolia during the Early Bronze Age.
If so, this is an important point that should be taken into account when modeling the ancestry of the Hittite era Anatolians. That's because if Anatolia_EBA already harbored some steppe ancestry, then we'd be shooting ourselves in the proverbial foot if we were to use it as the supposedly unadmixed reference population to try and determine whether Anatolia_MLBA was partly of steppe origin. Hence, to model the ancestry of Anatolia_MLBA, at least in the context of possible migrations from the steppe to Anatolia during the Bronze Age, it might be more useful to use Tepecik_Ciftlik_N as the likely unadmixed reference population.
Let's try that with qpAdm, first on the whole Anatolia_MLBA set, and then on one individual labeled MA2203, who, as far as I can tell, shows an elevated level of steppe ancestry in several different types of analyses. I chose Yamnaya_Kalmykia as the potential mixture source from the steppe because it's likely to be the closest available population in my dataset to the Eneolithic groups of the southern region of the Pontic-Caspian steppe.
Friday, August 24, 2018
Global25 workshop 3: genes vs geography in Northern Europe
To produce the intra-North European Principal Components Analysis (PCA) plot below, download this datasheet, plug it into the PAST program, which is freely available here, then select all of the columns by clicking on the empty tab above the labels, and choose Multivariate > Ordination > Principal Components or Discriminant Analysis. This is what you should end up with...
I'd say that the result more or less resembles a geographic map of Northern Europe. Of course, if you're in the possession of your own personal Global25 coordinates, you can add yourself to this plot to check whether your position matches your geographic origin.
Please keep in mind, however, that the vast majority (>90%) of your ancestry must be from north of the Alps, Balkans and Pyrenees to obtain a sensible outcome. Also please ensure that all of the columns in the datasheet are filled out correctly, including the group column, otherwise your position on the plot will be skewed.
See also...
Global25 workshop 1: that classic West Eurasian plot
Global25 workshop 2: intra-European variation
Global25 workshop 4: a neighbour joining tree
Getting the most out of the Global25
Genetic ancestry online store (to be updated regularly)
Wednesday, August 8, 2018
The South Asian cline that no longer exists
Before the Indo-Europeans and Austroasiatics got to South Asia, probably well within the last 4,000 years, it's likely that all of the genetic variation in the region basically sat along a genetic cline devoid of any Bronze Age steppe and Southeast Asian ancestry, like the one in the Principal Component Analysis (PCA) below running from the Paniya to the "Indus Periphery" ancient sample Shahr_I_Sokhta BA2.
Note that almost all of the South Asian populations, including the Iron Age (IA) Swat Valley groups, are clearly peeling away from the said cline towards the Tajiks, in other words towards Central Asia. This is a reflection of the widespread presence of Sintashta-related steppe admixture among South Asians, especially those speaking Indo-European languages. Moreover, the Bangalis and Burushos are being pushed towards the top left of the plot as a result of East Asian-related ancestry. In the case of the former, this is largely due to gene flow from Austroasiatic groups.
It'll be interesting to see how ancient Harappans behave in this analysis. I'm betting that they'll be very similar to the Indus Periphery trio, although judging by the latest press report on the topic (see here), the Harappan samples from Rakhigarhi might be shifted much closer to the Paniya as a result of a higher ratio of indigenous South Asian ancestry.
The PCA is based on my Global25 test. If you're South Asian and in the possession of Global25 coordinates, you can add yourself to this plot using the datasheet available here. Plug the datasheet into the PAST program (freely available here), select all of the columns, and go Multivariate > Ordination > Principal Components (PCA).
Update 10/08/2018: I managed to almost reproduce my PCA with a graph based on D-stats of the form D(Mbuti,X)(Onge,Ganj_Dareh_N)/D(Mbuti,X)(Ganj_Dareh_N,Sintashta_MLBA). Admittedly, Gonur2_BA didn't want to cooperate by pushing slightly up and away from the ghost South Asian cline. But this may have been due to a lack of data or perhaps minor admixture (keep in mind that this sample is actually from Turkmenistan and not South Asia). However, combining all three of the Indus_Periphery individuals worked well enough. The relevant datasheet is available here.
See also...
Global25 workshop 1: that classic West Eurasian plot
Global25 workshop 2: intra-European variation
Global25 workshop 3: genes vs geography in Northern Europe
Global25 workshop 4: a neighbour joining tree
Getting the most out of the Global25
Genetic ancestry online store (to be updated regularly)
Subscribe to:
Posts (Atom)








