Genomic insights into the origin of farming in the ancient Near East
Open accessPublished version of a preprint
Abstract
We report genome-wide ancient DNA from 44 ancient Near Easterners ranging in time between ~12,000 and 1,400 bc, from Natufian hunter-gatherers to Bronze Age farmers. We show that the earliest populations of the Near East derived around half their ancestry from a 'Basal Eurasian' lineage that had little if any Neanderthal admixture and that separated from other non-African lineages before their separation from each other. The first farmers of the southern Levant (Israel and Jordan) and Zagros Mountains (Iran) were strongly genetically differentiated, and each descended from local hunter-gatherers. By the time of the Bronze Age, these two populations and Anatolian-related farmers had mixed with each other and with the hunter-gatherers of Europe to greatly reduce genetic differentiation. The impact of the Near Eastern farmers extended beyond the Near East: farmers related to those of Anatolia spread westward into Europe; farmers related to those of the Levant spread southward into East Africa; farmers related to those of Iran spread northward into the Eurasian steppe; and people related to both the early farmers of Iran and to the pastoralists of the Eurasian steppe spread eastward into South Asia.
AI snapshot
Written from the paper’s full text.
TL;DR
Genome-wide ancient DNA from ancient Near Easterners shows that early populations had substantial “Basal Eurasian” ancestry with little if any Neanderthal admixture, and that the first farmers of the southern Levant and Zagros/Iran were strongly genetically differentiated and descended from local hunter-gatherers. Later admixture among these farmer populations and with European hunter-gatherers reduced West Eurasian genetic differentiation and spread Near Eastern-related ancestry into Europe, East Africa, the Eurasian steppe, and South Asia.
Key findings
- Basal Eurasian ancestry was pervasive in the ancient Near East, with highest estimates in Iran Mesolithic (66±13%), Iran Neolithic (48±6%), and Levant Epipaleolithic Natufians (44±8%). Basal Eurasian ancestry was negatively correlated with Neanderthal allele sharing; extrapolation gave Basal Eurasian Neanderthal ancestry at 9±26% relative to non-Basal Eurasians, with a 95% CI of −42 to 60%, truncated to 0–60%.
- The earliest West Eurasian populations were extremely differentiated: FST among the four “corners” of PCA was 0.08–0.15, comparable to 0.09–0.13 between present-day West Eurasians and Han. By the Bronze Age, differentiation had fallen to present-day levels, with FST ≤0.025 for 95% of West Eurasian population pairs and ≤0.046 for all pairs. Levantine farmers shared more alleles with Natufians than with Iran farmers (f4 Z=13.6), and Iran/Caucasus farmers shared more with local hunter-gatherers than with Levant farmers (Z>6).
- Levant first farmers traced ~2/3 of their ancestry to Natufian-related people and ~1/3 to Anatolian farmer-related people. Iran Chalcolithic-related ancestry contributed ~44% to Levantine Bronze Age, ~33% to Chalcolithic northwest Anatolians, and ~43% to early Bronze Age steppe populations. European early farmers were not directly descended from southern Levant farmers (f4 Z=15), and East African West Eurasian ancestry was better modelled by Levantine early farmers. In South Asia, ANI was modelled as a mix of Iran early farmer and Bronze Age steppe ancestry; Mala had ~18% steppe-related ancestry and Kalash ~50%. ANE ancestry ranged from ~40% in Native Americans to no less than ~5–10% in diverse East Asian groups, with EHG deriving ~3/4 of ancestry from ANE.
Methods
- The study generated genome-wide ancient DNA from newly reported ancient Near Eastern individuals dating ~12,000–1,400 BCE from the southern Caucasus (Armenia), northwestern Anatolia, Iran, and the southern Levant. The abstract reports 44 ancient Near Easterners; the main text reports genome-wide data passing quality control for 45 individuals, with median coverage of 172,819 SNPs and radiocarbon dates for 26 individuals (22 newly generated).
- DNA was extracted mainly from the inner-ear petrous bone, converted into barcoded libraries, and enriched by in-solution hybridization for ~1.2 million SNP targets. The new data were merged with previously published ancient data to form a dataset of 281 ancient individuals and with 2,583 present-day people genotyped on the Affymetrix Human Origins array (238 newly genotyped).
- Analyses included PCA, ADMIXTURE, outgroup f3, f4-statistics, qpAdm, qpWave, qpGraph, FST estimation, and a ghost-population cline-intersection method; ancient individuals were represented in pseudo-haploid form.
Limitations
- Stated: poor DNA preservation in warm climates had previously made it impossible to study the first farmers; the authors could not test for a link to present-day North Africans; the spatial distribution of Anatolian/European-like farmer populations is unknown, so an Anatolian origin of European farming cannot be exclusively proven; one individual had a radiocarbon date inconsistent with its archaeological context and was also a genetic outlier.
- Stated: the authors were concerned that conclusions might be biased by which populations happened to be sampled, and they tested robustness by withholding major populations and using ghost-population modelling.
- Evident from the text: sampling is uneven across time and geography, many key ancient populations are unsampled or inferred as “ghosts,” and several conclusions depend on qpAdm/qpWave/qpGraph models and the available reference populations.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
55 of 65 cited sources checked · 20 supported · 1 flagged · accuracy not yet measured
- Interpretationreasoning
The finding of little if any Neanderthal ancestry in Basal Eurasians could be explained if the Neanderthal admixture into modern humans 50,000-60,000 years ago largely occurred after the splitting of the Basal Eurasians from other non-Africans.
“The finding of little if any Neanderthal ancestry in Basal Eurasians could be explained if the Neanderthal admixture into modern humans 50,000-60,000 years ago11 largely occurred after the splitting of the Basal Eurasians from other non-Africans.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [11] Fu, Q. et al. Genome sequence of a 45,000-year-old modern human from western Siberia. Nature 514, 445–449 (2014) source
- Findingown data
Diverse ancient West Eurasians can be modelled as mixtures of as few as four streams of ancestry related to Western Hunter Gatherers, Eastern Hunter Gatherers, Neolithic Levant/Natufians, and Neolithic Iran.
“This suggests the hypothesis that diverse ancient West Eurasians can be modelled as mixtures of as few as four streams of ancestry related to these populations, which we confirmed using qpWave7 (Supplementary Information, section 7).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [7] Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015) source
The paper’s main text (page unavailable in our copy) describes WHG- and EHG-related ancestry and models Yamnaya as a mixture of EHG and a Near Eastern-related population. It does not establish the proposed four streams, identify Neolithic Levant/Natufian and Neolithic Iran as sources, or model diverse ancient West Eurasians in those terms. The citing authors’ statement that they confirmed the hypothesis with qpWave is their own result, not a finding attributed to this source. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Findingown data
qpAdm estimates of Basal Eurasian ancestry are highest in the earliest populations from Iran (66±13% in the likely Mesolithic sample, 48±6% in Neolithic samples) and the Levant (44±8% in Epipaleolithic Natufians).
“We obtain the highest estimates in the earliest populations from both Iran (66±13% in the likely Mesolithic sample, 48±6% in Neolithic samples), and the Levant (44±8% in Epipaleolithic Natufians) (Fig. 2), showing that Basal Eurasian ancestry was widespread across the ancient Near East.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [7] Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015) source
The Abstract discusses Near Eastern-related ancestry in the Yamnaya, and Extended Data Table 1 lists the study's ancient samples. Neither gives qpAdm estimates of Basal Eurasian ancestry for Iran or Natufians. Searches for those populations, the quoted percentages, and “Basal Eurasian” found no passage addressing the claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
- Findingcitation
Almost all ancient and present-day West Eurasians have evidence of significant admixture between two or more ancestral populations, as documented by negative f3(Test; Reference1, Reference2) statistics.
“Almost all ancient and present-day West Eurasians have evidence of significant admixture between two or more ancestral populations, as documented by statistics of the form f3(Test; Reference1, Reference2) which if negative, show that a Test population's allele frequencies tend to be intermediate between two Reference populations16 (Extended Data Table 2).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [16] Patterson, N. et al. Ancient admixture in human history. Genetics 192, 1065–1093 (2012) source
- Findingown data
The populations at the four corners of the PCA quadrangle had differentiation of FST=0.08-0.15, comparable to the value of 0.09-0.13 seen between present-day West Eurasians and East Asians (Han).
“We computed squared allele frequency differentiation between all pairs of ancient West Eurasians28 (Methods; Fig. 3; Extended Data Fig. 2b; Extended Data Fig. 4), and found that the populations at the four corners of the quadrangle had differentiation of FST=0.08-0.15, comparable to the value of 0.09-0.13 seen between present-day West Eurasians and East Asians (Han) (Supplementary Data Table 3).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [28] Fernández, E. et al. Ancient DNA analysis of 8000 B.C. near eastern farmers supports an early neolithic pioneer maritime colonization of Mainland Europe through Cyprus and the Aegean Islands. PLoS Genet. 10, e1004401 (2014) source
The Results sections on Genetic distances and Principal Component Analysis report FST comparisons and a PCA of haplogroup frequencies, but do not identify four corners of a PCA quadrangle or report FST=0.08–0.15 for those populations. Searches for the quadrangle and the Han comparison also found no passage giving the claimed 0.09–0.13 benchmark. The cited paper therefore does not verify the numerical comparison in the quoted claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Findingown data
The dataset combines the newly reported ancient individuals with previously published ancient data to form a dataset of 281 ancient individuals.
“We combined our data with previously published ancient data7,8,9,10,8,10-15 to form a dataset of 281 ancient individuals.”
Quote in the paperSubstantial claim7 of 9 sources checked- cites [7] Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015) source
The Abstract (page not available) says the authors combined their data with previously published ancient samples, supporting that part of the claim. It reports a total of 94 ancient Europeans, not 281 ancient individuals. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [8] Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499–503 (2015) source
The ‘Genome-wide ancient DNA from West Eurasia’ section says the authors combined 67 previously published samples with newly reported data. But it gives the resulting dataset as 230 ancient individuals, not 281; the cited paper therefore supports the combination but not the claimed total. No page number is available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [9] Jones, E. R. et al. Upper Palaeolithic genomes reveal deep roots of modern Eurasians. Nat. Commun. 6, 8912 (2015) source
- cites [10] Allentoft, M. E. et al. Population genomics of Bronze Age Eurasia. Nature 522, 167–172 (2015) source
- cites [11] Fu, Q. et al. Genome sequence of a 45,000-year-old modern human from western Siberia. Nature 514, 445–449 (2014) source
- cites [12] Günther, T. et al. Ancient genomes link early farmers from Atapuerca in Spain to modern-day Basques. Proc. Nat. Acad Sci. USA (2015) source
- cites [13] Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409–413 (2014) source
- cites [14] Olalde, I. et al. A common genetic origin for early farmers from Mediterranean Cardial and Central European LBK cultures. Mol. Biol. Evol. 32, 3132–3142 (2015) source
- cites [15] Raghavan, M. et al. Upper Palaeolithic Siberian genome reveals dual ancestry of Native Americans. Nature 505, 87–91 (2014) source
The Methods section ('Genome sequencing and read processing'; page unavailable) says the study processed its ancient genomes alongside previously published ancient datasets. It does not report a combined dataset of 281 ancient individuals, so the cited paper supports the combination but not that total. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
The inner ear region of the petrous bone can yield up to ~100 times more endogenous DNA than other skeletal elements.
“First, we sampled from the inner ear region of the petrous bone3,4 that can yield up to ~100 times more endogenous DNA than other skeletal elements4.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [3] Gamba, C. et al. Genome flux and stasis in a five millennium transect of European prehistory. Nat. Commun. 5, 5257 (2014) source
- cites [4] Pinhasi, R. et al. Optimal ancient DNA yields from the inner ear part of the human petrous bone. PLoS One 10, e0129102 (2015) source
The Discussion reports substantially higher endogenous DNA yields from petrous samples than from a metatarsal bone of the same individual, supporting the comparison with another skeletal element. But the reported difference is 267- to 410-fold, not an upper limit of approximately 100-fold; the paper also notes that this comparison rests on a single non-petrous bone. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Findingcitation
PCA on present-day West Eurasian populations replicates previous findings of a Europe-Near East contrast along the horizontal Principal Component 1 (PC1) and parallel clines (PC2) in both Europe and the Near East.
“PCA on present-day West Eurasian populations (Methods) (Extended Data Fig. 1) on which we projected the ancient individuals (Fig. 1b) replicates previous findings of a Europe-Near East contrast along the horizontal Principal Component 1 (PC1) and parallel clines (PC2) in both Europe and the Near East (Extended Data Fig. 1)7,8,13.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [7] Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015) source
The paper's PCA discussion (page unavailable) says that an analysis including 777 present-day West Eurasians replicates the positioning of present-day Europeans relative to the Near East, supporting the broad geographic contrast. It does not describe that contrast as horizontal PC1 or report parallel PC2 clines in Europe and the Near East. The Online Methods (page unavailable) confirm that ancient samples were projected onto a PCA using present-day West Eurasians. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [8] Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499–503 (2015) source
The Methods (‘Population history analysis’; page not provided) confirm that the paper performed PCA on 777 West Eurasian individuals and projected ancient individuals onto it. The passages in our copy do not describe a Europe–Near East contrast on PC1 or parallel European and Near Eastern clines on PC2, so they do not support those specific findings. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [13] Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409–413 (2014) source
The PCA results passage (labeled Abstract in our copy; page unavailable) reports a Europe–Near East discontinuity and north–south clines in both regions, supporting the main pattern. It does not specify that the contrast lies on horizontal PC1 or that the clines lie on PC2, so those axis assignments are not verified by our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
West Eurasians harbour significantly less Neanderthal ancestry than East Asians.
“West Eurasians harbour significantly less Neanderthal ancestry than East Asians19-21, which could be explained if West Eurasians (but not East Asians) have partial ancestry from a source diluting their Neanderthal inheritance22.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [19] Prufer, K. et al. The complete genome sequence of a Neanderthal from the Altai Mountains. Nature 505, 43–49 (2014) source
In “Denisovan gene flow in mainland Asia” (page unavailable), the paper says populations in Asia and America appear to have more regions of Neandertal origin than populations in Europe. This supports the direction of the comparison, but the passage does not establish statistical significance for Neandertal ancestry or address West Eurasians as a whole. The reported Z-score concerns Denisovan, not Neandertal, ancestry. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [20] Meyer, M. et al. A high-coverage genome sequence from an archaic Denisovan individual. Science 338, 222–226 (2012) source
In “Denisovan and Neandertal gene flow,” the paper estimates 24% less Neandertal ancestry in Europe than in eastern Asia and South America (95% CI 12–36%), supporting a significant difference for the populations studied. Its European samples were French and Sardinian; it does not establish the claim for West Eurasians as a whole. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [21] Wall, J. D. et al. Higher levels of neanderthal ancestry in East Asians than in Europeans. Genetics 194, 199–209 (2013) source
The D-statistics and estimates of f section reports significantly higher frequencies of putative Neanderthal haplotypes in East Asians than in Europeans; the Discussion likewise reports a higher admixture rate in East Asians. The paper establishes this comparison for Europeans, not for West Eurasians as a whole. The proposed dilution explanation is attached to a different citation and is not part of this verdict. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Findingcitation
There is a negative correlation between Basal Eurasian ancestry and the rate of shared alleles with Neanderthals.
“Supporting this theory, we observe a negative correlation between Basal Eurasian ancestry and the rate of shared alleles with Neanderthals19 (Supplementary Information, section 5; Fig. 2).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [19] Prufer, K. et al. The complete genome sequence of a Neanderthal from the Altai Mountains. Nature 505, 43–49 (2014) source
The paper’s ‘Neandertal gene flow into modern humans’ section reports Neanderthal-derived DNA in people outside Africa, and its Discussion describes allele sharing between Neanderthals and non-African populations (page not supplied). It does not report a correlation with Basal Eurasian ancestry. The citing sentence presents that correlation as the citing authors’ own observation (‘we observe’), rather than a finding of this source. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Findingown data
The highest estimates of Basal Eurasian ancestry are from the Near East.
“It is striking that the highest estimates of Basal Eurasian ancestry are from the Near East, given the hypothesis that it was there that most admixture between Neanderthals and modern humans occurred19,23.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [19] Prufer, K. et al. The complete genome sequence of a Neanderthal from the Altai Mountains. Nature 505, 43–49 (2014) source
The 'Neandertal gene flow into modern humans' section estimates Neandertal-derived DNA in people outside Africa, but does not estimate Basal Eurasian ancestry. Searches for Basal Eurasian ancestry and Near Eastern estimates found no passage supporting the claim that the highest estimates are from the Near East. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites [23] Brace, C. L. et al. The questionable contribution of the Neolithic and the Bronze Age to European craniofacial form. Proc. Natl Acad. Sci. USA 103, 242–247 (2006) source
The Conclusions discuss craniofacial evidence for Neolithic migration from the Near East, not estimates of Basal Eurasian ancestry. Searches for Basal Eurasian ancestry and Neanderthal admixture found no passage addressing where the highest ancestry estimates occur. The cited paper therefore does not verify this claim in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Findingown data
Eastern Eurasians can be modelled as arrayed along a cline with different proportions of ANE ancestry, ranging from ~40% ANE in Native Americans to no less than ~5-10% ANE in diverse East Asian groups including Han Chinese.
“Eastern Eurasians can be modelled as arrayed along a cline with different proportions of ANE ancestry (Supplementary Information, section 11; Extended Data Fig. 8), ranging from ~40% ANE in Native Americans matching previous findings13,15, to no less than ~5-10% ANE in diverse East Asian groups including Han Chinese (Extended Data Fig. 5; Extended Data Fig. 7f).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [13] Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409–413 (2014) source
The Online Methods ('Ancestry estimates from f4-ratios'; page not supplied) describe estimating ANE ancestry in Karitiana, and Extended Data report that Native Americans are closer to ANE than to WHG. Neither passage gives the claimed ~40% estimate. The passages found also do not establish an Eastern Eurasian ANE cline or ~5–10% ANE ancestry in East Asian groups, including Han Chinese. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [15] Raghavan, M. et al. Upper Palaeolithic Siberian genome reveals dual ancestry of Native Americans. Nature 505, 87–91 (2014) source
- Study design and conductown data
All the libraries analyzed had rates of C-to-T substitution in the final nucleotide of at least 3%, consistent with genuine ancient DNA.
“We quantified the rate of C-to-T substitution in the final nucleotide of the sequences analyzed, relative to the human reference genome sequence, and found that all the libraries analyzed had rates of at least 3%38, consistent with genuine ancient DNA.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [38] Briggs, A. W. et al. Removal of deaminated cytosines and detection of in vivo methylation in ancient DNA. Nucleic Acids Res. 38, e87 (2010) source
- Findingown data
Application of the ghost-population method highlights the impact of Ancient North Eurasian (ANE) ancestry related to the ~22,000 BCE Mal'ta 1 and ~15,000 BCE Afontova Gora 2 on populations living in Europe, the Americas, and Eastern Eurasia.
“Application of this methods highlights the impact of Ancient North Eurasian (ANE) ancestry related to the ~22,000 BCE Mal'ta 1 and ~15,000 BCE Afontova Gora 215 on populations living in Europe, the Americas, and Eastern Eurasia.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [15] Raghavan, M. et al. Upper Palaeolithic Siberian genome reveals dual ancestry of Native Americans. Nature 505, 87–91 (2014) source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Findingown data
The Chalcolithic people of western Iran can be modelled as a mixture of the Neolithic people of western Iran, the Levant, and Caucasus Hunter Gatherers (CHG).
“The Chalcolithic people of western Iran can be modelled as a mixture of the Neolithic people of western Iran, the Levant, and Caucasus Hunter Gatherers (CHG), consistent with their position in the PCA (Fig. 1b).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [7] Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015) source
The passages labeled Abstract model Yamnaya and European populations, while Extended Data Table 1 lists the study’s ancient samples; neither addresses Chalcolithic people of western Iran. Searches for western Iran, Chalcolithic ancestry, and the proposed Neolithic Iranian–Levantine–CHG mixture found no passage supporting or contradicting the claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
- Findingown data
It is impossible to model the Ancestral North Indians (ANI) as being derived from any single ancient population in the dataset.
“We show that it is impossible to model the ANI as being derived from any single ancient population in our dataset.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [34] Reich, D., Thangaraj, K., Patterson, N., Price, A. L. & Singh, L. Reconstructing Indian population history. Nature 461, 489–494 (2009) source
The ‘Relationship of Indians to non-Indians’ section reports that ANI and CEU form a clade, but does not test whether ANI could derive from any single ancient population in a dataset. The Discussion says that the history of ANI before mixture remains a priority for future work. Searches for the claimed single-population modelling result found no passage addressing it. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [35] Fu, Q. et al. The genetic history of Ice Age Europe. Nature 534, 200–205 (2016) source
The Genetic clustering section describes ancient European and Siberian samples, while the Extended Data discuss ancestry estimates and comparisons among those samples (page numbers unavailable). Searches for “Ancestral North Indians,” “ANI,” and single-population ancestry models found no passage addressing whether ANI can be derived from one ancient population. (LLM, conf=0.75)
Experimental — accuracy not yet measured
- Findingcitation
The early farmers of mainland Europe were descended from a population related to Neolithic northwestern Anatolians.
“To the west, the early farmers of mainland Europe were descended from a population related to Neolithic northwestern Anatolians8.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [8] Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499–503 (2015) source
- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
- Findingown data
The earliest populations of the Near East derived around half of their ancestry from a 'Basal Eurasian' lineage.
“We show that the earliest populations of the Near East derived around half their ancestry from a ‘Basal Eurasian’ lineage that had little if any Neanderthal admixture and that separated from other non-African lineages prior to their separation from each other.”
Quote in the paperSubstantial claim - Findingown data
The first farmers of the southern Levant and Zagros Mountains were strongly genetically differentiated.
“The first farmers of the southern Levant (Israel and Jordan) and Zagros Mountains (Iran) were strongly genetically differentiated, and each descended from local hunter-gatherers.”
Quote in the paperSubstantial claim - Findingown data
The statistic f4(Test, Han; Ust'-Ishim, Chimp) is significantly negative (Z<−3.7) for all ancient Near Easterners as well as Neolithic and later Europeans.
“This statistic is significantly negative (Z<−3.7) for all ancient Near Easterners as well as Neolithic and later Europeans, consistent with their having ancestry from a deeply divergent Eurasian lineage that separated from the ancestors of most Eurasians prior to the separation of Han and Ust’-Ishim.”
Quote in the paperSubstantial claim - Findingown data
The Basal Eurasian lineage had little if any Neanderthal admixture.
“We show that the earliest populations of the Near East derived around half their ancestry from a ‘Basal Eurasian’ lineage that had little if any Neanderthal admixture and that separated from other non-African lineages prior to their separation from each other.”
Quote in the paperSubstantial claim - Findingown data
The study reports genome-wide ancient DNA from 44 ancient Near Easterners dating between ~12,000 and 1,400 BCE, spanning Natufian hunter-gatherers to Bronze Age farmers.
“We report genome-wide ancient DNA from 44 ancient Near Easterners ranging in time between ~12,000-1,400 BCE, from Natufian hunter-gatherers to Bronze Age farmers.”
Quote in the paperSubstantial claim- Rests on an assumption: The relative homogeneity of present-day West Eurasians reflects extensive migration and admixture that homogenized geographically and genetically disparate sources of ancestry.
- Rests on an assumption: The spread of the world's first farmers from the Near East was a mechanism for homogenizing West Eurasian ancestry.
- Findingown data
The study obtained genome-wide data passing quality control for 45 individuals with a median coverage of 172,819 SNPs.
“We obtained genome-wide data passing quality control for 45 individuals on whom we had a median coverage of 172,819 SNPs.”
Quote in the paperSubstantial claim - Findingown data
The first farmers of the Zagros Mountains descended from local hunter-gatherers.
“The first farmers of the southern Levant (Israel and Jordan) and Zagros Mountains (Iran) were strongly genetically differentiated, and each descended from local hunter-gatherers.”
Quote in the paperSubstantial claim - Findingown data
The first farmers of the southern Levant descended from local hunter-gatherers.
“The first farmers of the southern Levant (Israel and Jordan) and Zagros Mountains (Iran) were strongly genetically differentiated, and each descended from local hunter-gatherers.”
Quote in the paperSubstantial claim - Findingown data
A population related to people of the Iran Chalcolithic contributed ~43% of the ancestry of early Bronze Age populations of the steppe.
“To the north, a population related to people of the Iran Chalcolithic contributed ~43% of the ancestry of early Bronze Age populations of the steppe.”
Quote in the paperSubstantial claim- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
- Findingown data
Among first farmers, those of the Levant trace ~2/3 of their ancestry to people related to Natufian hunter-gatherers and ~1/3 to people related to Anatolian farmers.
“Among first farmers, those of the Levant trace ~2/3 of their ancestry to people related to Natufian hunter-gatherers and ~1/3 to people related to Anatolian farmers (Supplementary Information, section 7).”
Quote in the paperSubstantial claim- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
- Findingown data
Northwest Anatolians-with ancestry from a population related to European hunter-gatherers-are better modelled if this ancestry is taken as more extreme than Bichon.
“Northwest Anatolians—with ancestry from a population related to European hunter-gatherers (Supplementary Information, section 7)—are better modelled if this ancestry is taken as more extreme than Bichon (Supplementary Information, section 10).”
Quote in the paperNot a substantial claim - Findingown data
In the Human Origins dataset, there is Levantine ancestry in Eastern Africa.
“(a) Levantine ancestry in Eastern Africa in the Human Origins dataset”
Quote in the paperNot a substantial claim - Findingown data
The ratio of Neanderthal ancestry in Basal Eurasians relative to non-Basal Eurasians is 9±26% (95% confidence interval −42 to 60%).
“We use a block jackknife47, dropping one of 100 contiguous blocks of the genome at a time, to estimate the value and standard error of this quantity (9±26%). We compute a 95% confidence interval based on the point estimate ±1.96-times the standard error: −42 to 60%.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Basal Eurasians had no less Neanderthal admixture than Mbuti from sub-Saharan Africa.
- Findingown data
There is a cline of ANE ancestry across the east-west extent of Eurasia.
“We also document a cline of ANE ancestry across the east-west extent of Eurasia.”
Quote in the paperNot a substantial claim - Findingown data
WHG are a mix of EHG and the Upper Paleolithic Bichon from Switzerland.
“and WHG are a mix of EHG and the Upper Paleolithic Bichon from Switzerland (Supplementary Information, section 7).”
Quote in the paperNot a substantial claim - Findingown data
Basal Eurasian ancestry is negatively correlated with Neanderthal ancestry.
“Negative correlation of Basal Eurasian ancestry with Neanderthal ancestry”
Quote in the paperNot a substantial claim - Findingown data
The ancient populations of the Chalcolithic Iran, Chalcolithic Armenia, Bronze Age Armenia and Chalcolithic Anatolia were all composed of the same ancestral components, albeit in slightly different proportions.
“Our analysis show that the ancient populations of the Chalcolithic Iran, Chalcolithic Armenia, Bronze Age Armenia and Chalcolithic Anatolia were all composed of the same ancestral components, albeit in slightly different proportions (Fig. 4b; Supplementary Information, section 7).”
Quote in the paperSubstantial claim- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
- Findingown data
Genetic differentiation in West Eurasian populations declines over time.
“Genetic structure in ancient West Eurasian populations across time and decline of genetic differentiation over time”
- Also stated in: § Extended Data · plain
“Reduction of genetic differentiation in West Eurasia over time”
Quote in the paperSubstantial claim - Also stated in: § Extended Data · plain
- Findingown data
EHG, Mal'ta 1 (MA1) and Afontova Gora 2 (AG2) are positioned near the intersection of clines formed by European hunter-gatherers (WHG, SHG, EHG) and Eastern non-Africans in the space of outgroup f3-statistics of the form f3(Mbuti; Papuan, Test) and f3(Mbuti; Switzerland_HG, Test).
“EHG, and Upper Paleolithic Siberians Mal'ta 1 (MA1) and Afontova Gora 2 (AG2) are positioned near the intersection of clines formed by European hunter-gatherers (WHG, SHG, EHG) and Eastern non-Africans in the space of outgroup f3-statistics of the form f3(Mbuti; Papuan, Test) and f3(Mbuti; Switzerland_HG, Test).”
Quote in the paperNot a substantial claim - Findingown data
Eastern Hunter Gatherers (EHG) derive ~3/4 of their ancestry from the ANE.
“Eastern Hunter Gatherers (EHG) derive ~3/4 of their ancestry from the ANE (Supplementary Information, section 11);”
Quote in the paperNot a substantial claim - Interpretationown data
By the Bronze Age, the southern Levant and Zagros farmer populations and Anatolian-related farmers had mixed with each other and with European hunter-gatherers, drastically reducing genetic differentiation.
“By the time of the Bronze Age, these two populations and Anatolian-related farmers had mixed with each other and with the hunter-gatherers of Europe to drastically reduce genetic differentiation.”
Quote in the paperSubstantial claim - Interpretationown data
The Basal Eurasian lineage separated from other non-African lineages prior to their separation from each other.
“We show that the earliest populations of the Near East derived around half their ancestry from a ‘Basal Eurasian’ lineage that had little if any Neanderthal admixture and that separated from other non-African lineages prior to their separation from each other.”
Quote in the paperSubstantial claim - Interpretationown data
The significantly negative f4(Test, Han; Ust'-Ishim, Chimp) results are consistent with ancient Near Easterners and Neolithic/later Europeans having ancestry from a deeply divergent Eurasian lineage that separated from the ancestors of most Eurasians prior to the separation of Han and Ust'-Ishim.
“This statistic is significantly negative (Z<−3.7) for all ancient Near Easterners as well as Neolithic and later Europeans, consistent with their having ancestry from a deeply divergent Eurasian lineage that separated from the ancestors of most Eurasians prior to the separation of Han and Ust’-Ishim.”
Quote in the paperSubstantial claim - Interpretationown data
Basal Eurasian ancestry was widespread across the ancient Near East.
“We obtain the highest estimates in the earliest populations from both Iran (66±13% in the likely Mesolithic sample, 48±6% in Neolithic samples), and the Levant (44±8% in Epipaleolithic Natufians) (Fig. 2), showing that Basal Eurasian ancestry was widespread across the ancient Near East.”
Quote in the paperSubstantial claim- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
- Interpretationown data
Scandinavian hunter-gatherers (SHG) are a mixture of WHG and a population on the Iran_ChL→Steppe_EMBA cline.
“(b) Scandinavian hunter-gatherers (SHG) are a mixture of WHG and a population on the Iran_ChL→Steppe_EMBA cline.”
Quote in the paperNot a substantial claim - Interpretationown data
Early/Middle Bronze Age steppe populations are a mixture of Iran_ChL and a population on the WHG→SHG cline.
“(a) Early/Middle Bronze Age steppe populations are a mixture of Iran_ChL and a population on the WHG→SHG cline.”
Quote in the paperNot a substantial claim - Interpretationown data
The study rejects the hypothesis that the spread of agriculture in the Near East was achieved by the dispersal of a single farming population displacing the hunter-gatherers they encountered.
“We reject the hypothesis that the spread of agriculture in the Near East was achieved by the dispersal of a single farming population displacing the hunter-gatherers they encountered.”
Quote in the paperSubstantial claim- Rests on an assumption: The relative homogeneity of present-day West Eurasians reflects extensive migration and admixture that homogenized geographically and genetically disparate sources of ancestry.
- Rests on an assumption: The spread of the world's first farmers from the Near East was a mechanism for homogenizing West Eurasian ancestry.
- Interpretationown data
Caucasus hunter-gatherers (CHG) are a mixture of Iran_N and both WHG and EHG.
“(c) Caucasus hunter-gatherers (CHG) are a mixture of Iran_N and both WHG and EHG.”
Quote in the paperNot a substantial claim - Interpretationcitation
Somali are a mixture of Mota and a population on the Iran_ChL→Levant_BA cline.
“(e) Somali are a mixture of Mota50 and a population on the Iran_ChL→Levant_BA cline.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
South Asian populations can be modelled as having West Eurasian-related ancestry similar to that in populations from both the Eurasian steppe and Iran.
“(e) Mixture proportions for South Asian populations showing that they can be modelled as having West Eurasian-related ancestry similar to that in populations from both the Eurasian steppe and Iran.”
Quote in the paperNot a substantial claim - Interpretationown data
Eastern European hunter-gatherers (EHG) are a mixture of WHG and a population on the Onge→Han cline.
“(f) Eastern European hunter-gatherers (EHG) are a mixture of WHG and a population on the Onge→Han cline.”
Quote in the paperNot a substantial claim - Study design and conductown data
The study developed a method to infer the existence and genetic affinities of ancient populations from unobserved 'ghost' populations.
“To further assess the robustness of our inferences, we developed a method to infer the existence and genetic affinities of ancient populations from unobserved ‘ghost’ populations (Supplementary Information, section 10; Extended Data Fig. 7).”
Quote in the paperSubstantial claim - Interpretationown data
There is admixture from a 'ghost' ANE population into both European and Eastern Eurasian ancestry.
“Admixture from a ‘ghost’ ANE population into both European and Eastern Eurasian ancestry”
Quote in the paperNot a substantial claim - Interpretationcitation
The interdependence of the ancestry of Europe and the Near East may have been mediated by unsampled geographically intermediate populations that contribute ancestry to both regions.
“This interdependence of the ancestry of Europe and the Near East may have been mediated by unsampled geographically intermediate populations36 that contribute ancestry to both regions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Dabney, J. et al. Complete mitochondrial genome sequence of a Middle Pleistocene cave bear reconstructed from ultrashort DNA fragments. Proc. Natl Acad. Sci. USA 110, 15758–15763 (2013) source
- Study design and conductown data
The study tested whether conclusions might be biased by the particular populations sampled by plotting the inferred position of admixed populations in PCA against a weighted combination of their inferred source populations and obtained qualitatively consistent results.
“We tested our conclusions by plotting the inferred position of admixed populations in PCA against a weighted combination of their inferred source populations and obtained qualitatively consistent results (Extended Data Fig. 6).”
Quote in the paperNot a substantial claim - Interpretationown data
Late Neolithic/Bronze Age Europeans are a mixture of the preceding Europe_MNChL population and a population with both EHG and Iran_ChL ancestry.
“(d) Late Neolithic/Bronze Age Europeans are a mixture of the preceding Europe_MNChL population and a population with both EHG and Iran_ChL ancestry.”
Quote in the paperNot a substantial claim - Study design and conductown data
All libraries passing quality control and for which sufficient X chromosome data were available had contamination rates of 0-1.5% according to ANGSD X chromosome estimates.
“For the nuclear data from males, we used the ANGSD software44 to estimate a conservative X chromosome estimate of contamination. We determined that all libraries passing our quality control and for which we had sufficient X chromosome data to make an assessment had contamination rates of 0-1.5%.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007) source
- Classified as probably not a substantial claim. 13
- May combine two claims. 35
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe UDG treatment strategy is inefficient at removing terminal uracils, allowing the mismatch rate to the human genome at the terminal nucleotide to be used for authentication.
“The UDG treatment strategy is (by-design) inefficient at removing terminal uracils, allowing the mismatch rate to the human genome at the terminal nucleotide to be used for authentication38.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [38] Briggs, A. W. et al. Removal of deaminated cytosines and detection of in vivo methylation in ancient DNA. Nucleic Acids Res. 38, e87 (2010) source
The Results (Repair of Neandertal DNA) say UDG/endoVIII treatment drastically reduced end-of-fragment C/G→T/A mismatches, with removal almost complete in mtDNA. The Results (Neandertal CpG methylation) attribute most remaining terminal C→T mismatches in nuclear DNA to CpG sites, not to deliberately inefficient removal of terminal uracils. The paper does not describe preserving terminal mismatches for authentication. (LLM, conf=0.87)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCraniometric analyses have suggested an affinity between the Natufians and populations of north or sub-Saharan Africa.
“Craniometric analyses have suggested an affinity between the Natufians and populations of north or sub-Saharan Africa24,25”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [24] Ferembach, D. Squelettes du Natoufien d’Israel., etude anthropologique. Anthropologie 65, 46–66 (1961)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [25] Fadhlaoui-Zid, K. et al. Genome-wide and paternal diversity reveal a recent origin of human populations in North Africa. PLoS One 8, e80293 (2013) source
The Introduction discusses genetic affinities of present-day North Africans, and the Discussion mentions lithic similarities between North Africa and the Middle East. Neither addresses Natufians or craniometric affinity. Searches for Natufians and cranial morphology found no passage supporting the attributed claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationY chromosome analysis shows that the Natufians and successor Levantine Neolithic populations carried haplogroup E, of likely ultimate African origin, which has not been detected in other ancient males from West Eurasia.
“a result that finds some support from Y chromosome analysis which shows that the Natufians and successor Levantine Neolithic populations carried haplogroup E, of likely ultimate African origin, which has not been detected in other ancient males from West Eurasia (Supplementary Information, section 6) 7,8.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [7] Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015) source
The indexed paper’s Y-chromosome passage (labelled Abstract; page unavailable) reports haplogroups R1a and R1b in ancient European males, not haplogroup E in Natufians or Levantine Neolithic populations. Searches for Natufians, haplogroup E, African origin, and ancient West Eurasian males found no passage addressing the attributed claim. (LLM, conf=0.77)
Experimental — accuracy not yet measured - cites [8] Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499–503 (2015) source
The ‘Insight into population transformations’ section reports Y-chromosome haplogroup G2a in Anatolian Neolithic individuals, not haplogroup E in Natufians or Levantine Neolithic populations (page unavailable). Searches for Natufians, Levantine Neolithic haplogroup E, and the claimed African origin found no passage in our copy addressing those points or the asserted absence in other ancient West Eurasian males. (LLM, conf=0.73)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe dataset further merges with 2,583 present-day people genotyped on the Affymetrix Human Origins array, including 238 new individuals.
“We then further merged with 2,583 present-day people genotyped on the Affymetrix Human Origins array13,16 (238 new) (Supplementary Data Table 2; Supplementary Information, section 2).”
Quote in the paperNot a substantial claim2 of 2 sources checkedMay combine two claims.
Findingown dataThe two Caucasus Hunter Gatherers are less extreme along PC1 than the Mesolithic and Neolithic individuals from Iran, while individuals from Chalcolithic Anatolia, Iran, and Armenia, and Bronze Age Armenia occupy intermediate positions.
“The two Caucasus Hunter Gatherers (CHG)9 are less extreme along PC1 than the Mesolithic and Neolithic individuals from Iran, while individuals from Chalcolithic Anatolia, Iran, and Armenia, and Bronze Age Armenia occupy intermediate positions.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [9] Jones, E. R. et al. Upper Palaeolithic genomes reveal deep roots of modern Eurasians. Nat. Commun. 6, 8912 (2015) source
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe newly generated present-day genotyping data were merged with data from 2,345 individuals previously genotyped on the same array.
“We merged the newly generated data with data from 2,345 individuals previously genotyped on the same array13.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [13] Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409–413 (2014) source
May combine two claims.
PremisecitationMigrations from the Near East occurred towards the southwest into East African populations which experienced West Eurasian admixture ~1,000 BCE.
“Migrations from the Near East also occurred towards the southwest into East African populations which experienced West Eurasian admixture ~1,000 BCE31,32.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [31] Pickrell, J. K. et al. Ancient west Eurasian ancestry in southern and eastern Africa. Proc. Natl Acad. Sci. USA 111, 2632–2637 (2014) source
- cites [32] Keller, A. et al. New insights into the Tyrolean Iceman's origin and phenotype as inferred by whole-genome sequencing. Nat Commun 3, 698 (2012) source
The SNP analysis discusses the Iceman’s ancestry using European, North African, and Qatari comparison samples; the Discussion addresses Neolithic migration around the Mediterranean. Neither section addresses migration into East Africa or dates West Eurasian admixture there to approximately 1,000 BCE (searched both the claim’s terms and a paraphrase). (LLM, conf=0.76)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
Findingown dataThe study genotyped 238 present-day individuals from 17 diverse West Eurasian populations on the Affymetrix Human Origins array and applied quality control analyses as previously described.
“We genotyped 238 present-day individuals from 17 diverse West Eurasian populations on the Affymetrix Human Origins array16, and applied quality control analyses as previously described13 (Supplementary Data Table 2).”
Quote in the paperSubstantial claim2 of 2 sources checkedMay combine two claims.
Findingown dataThe hypothesis that European farmers stem directly from a population related to the ancient farmers of the southern Levant can be ruled out, since European early farmers share more alleles with Anatolian Neolithic farmers than with Levantine farmers: f4(Europe_EN, Chimp; Anatolia_N, Levant_N) is positive (Z=15).
“We can rule out the hypothesis that European farmers stem directly from a population related to the ancient farmers of the southern Levant29,30, however, since they share more allele with Anatolian Neolithic farmers than with Levantine farmers as attested by the positive statistic f4(Europe_EN, Chimp; Anatolia_N, Levant_N) (Z=15).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [29] Ammerman, A. J., Pinhasi, R. & Banffy, E. Comment on Ancient DNA from the first European farmers in 7500-year-old Neolithic sites. Science 312, 1875; author reply 1875 (2006) source
- cites [30] Pagani, L. et al. Ethiopian genetic diversity reveals linguistic stratification and complex influences on the Ethiopian gene pool. Am. J. Hum. Genet. 91, 83–96 (2012) source
Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationScandinavian hunter-gatherers (SHG) are a mix of EHG and WHG.
“Scandinavian hunter-gatherers7,8,13 (SHG) are a mix of EHG and WHG;”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [7] Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015) source
The passage labeled Abstract (page not provided) places Swedish hunter-gatherers (SHG) between EHG and WHG on a hunter-gatherer genetic cline. It does not establish that SHG are a mixture of those two groups; the paper elsewhere notes that an intermediate genetic position need not imply a particular mixture model. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [8] Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499–503 (2015) source
The ‘Twelve signals of selection’ section describes Scandinavian hunter-gatherers from Motala as closely related to western hunter-gatherers, but does not say they were a mix of WHG and EHG. The passages on EHG admixture concern steppe populations, not SHG; searches for SHG admixture and Motala ancestry found no passage establishing the claimed mixture. (LLM, conf=0.72)
Experimental — accuracy not yet measured - cites [13] Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409–413 (2014) source
The paper identifies Scandinavian hunter-gatherers (SHG) and reports that Motala12 (SHG) fits a mixture of WHG and Ancient North Eurasian (ANE) ancestry (Abstract; page not provided). It does not identify the second component as EHG, so the specific EHG–WHG mixture attributed to it is not supported. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationThe demographic impact of steppe related populations on South Asia was substantial: the Mala are inferred to have ~18% steppe-related ancestry, while the Kalash of Pakistan are inferred to have ~50%, similar to present-day northern Europeans.
“The demographic impact of steppe related populations on South Asia was substantial, as the Mala, a south Indian population with minimal ANI along the ‘Indian Cline’ of such ancestry34,35 is inferred to have ~18% steppe-related ancestry, while the Kalash of Pakistan are inferred to have ~50%, similar to present-day northern Europeans7.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [34] Reich, D., Thangaraj, K., Patterson, N., Price, A. L. & Singh, L. Reconstructing Indian population history. Nature 461, 489–494 (2009) source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [35] Fu, Q. et al. The genetic history of Ice Age Europe. Nature 534, 200–205 (2016) source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [7] Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015) source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
May combine two claims.
FindingcitationIn the dataset of Pagani et al. (2012), different Eastern African populations have Levantine ancestry, with the remainder of their ancestry forming a clade with Mota, a ~4,500 year old sample from Ethiopia.
“(b) Levantine ancestry in different Eastern African population in the dataset of Pagani et al. (2012); the remainder of the ancestry is a clade with Mota, a ~4,500 year old sample from Ethiopia50.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Pagani et al. (2012) source
The Results (page unavailable) find that the non-African component of Semitic and Cushitic Ethiopian populations is closer to populations inhabiting the Levant than to Yemen, supporting the Levantine-affinity part of the claim. The paper distinguishes an African component but does not mention Mota or establish that this component forms a clade with a ~4,500-year-old Ethiopian sample. (LLM, conf=0.89)
Experimental — accuracy not yet measured - cites [50]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe spread of Near Eastern ancestry into the Eurasian steppe was previously inferred without access to ancient samples, by hypothesizing a population related to present-day Armenians as a source.
“The spread of Near Eastern ancestry into the Eurasian steppe was previously inferred7 without access to ancient samples, by hypothesizing a population related to present-day Armenians as a source7,8.”
Quote in the paperNot a substantial claim2 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
PremisecitationPreviously, the West Eurasian population known to be the best proxy for East African West Eurasian ancestry was present-day Sardinians, who resemble Neolithic Europeans genetically.
“Previously, the West Eurasian population known to be the best proxy for this ancestry was present-day Sardinians32, who resemble Neolithic Europeans genetically13,33.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [32] Keller, A. et al. New insights into the Tyrolean Iceman's origin and phenotype as inferred by whole-genome sequencing. Nat Commun 3, 698 (2012) source
- cites [13] Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409–413 (2014) source
- cites [33] Moorjani, P. et al. Genetic evidence for recent population mixture in India. Am. J. Hum. Genet. 93, 422–438 (2013) source
The F4 Ratio Estimation section identifies Georgians as a close West Eurasian comparison for Ancestral North Indian ancestry, not for East African ancestry. The Simulations table includes Sardinians as a reference population, but does not identify them as the best proxy for East African West Eurasian ancestry. Searches for Sardinians and Neolithic Europeans found no passage establishing the claimed genetic resemblance. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThe idea of Natufians as a vector for the movement of Basal Eurasian ancestry into the Near East is not supported by the data, as the Basal Eurasian ancestry in the Natufians (44±8%) is consistent with stemming from the same population as that in the Neolithic and Mesolithic populations of Iran, and is not greater than in those populations.
“The idea of Natufians as a vector for the movement of Basal Eurasian ancestry into the Near East is also not supported by our data, as the Basal Eurasian ancestry in the Natufians (44±8%) is consistent with stemming from the same population as that in the Neolithic and Mesolithic populations of Iran, and is not greater than in those populations (Supplementary Information, section 4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe data document continuity across the hunter-gatherer/farming transition, separately in the southern Levant and in the southern Caucasus-Iran highlands.
“Our data document continuity across the hunter-gatherer / farming transition, separately in the southern Levant and in the southern Caucasus-Iran highlands.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe newly reported ancient individuals date to ~12,000-1,400 BCE and come from the southern Caucasus (Armenia), northwestern Anatolia (Turkey), Iran, and the southern Levant (Israel and Jordan).
“The newly reported ancient individuals date to ~12,000-1,400 BCE and come from the southern Caucasus (Armenia), northwestern Anatolia (Turkey), Iran, and the southern Levant (Israel and Jordan) (Supplementary Data Table 1, Fig. 1a).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe early farmers of the Caucasus-Iran highlands share significantly more alleles with the hunter-gatherers of this region than with the early farmers from the Levant: f4(Iran_N, Chimp; Caucasus or Iran highland hunter-gatherers, Levant_N) is significantly positive (Z>6).
“The early farmers of the Caucasus-Iran highlands similarly share significantly more alleles with the hunter-gatherers of this region than with the early farmers from the Levant: the statistic f4(Iran_N, Chimp; Caucasus or Iran highland hunter-gatherers, Levant_N) is significantly positive (Z>6).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo affinity of Natufians to sub-Saharan Africans is evident in the genome-wide analysis, as present-day sub-Saharan Africans do not share more alleles with Natufians than with other ancient Eurasians.
“However, no affinity of Natufians to sub-Saharan Africans is evident in our genome-wide analysis, as present-day sub-Saharan Africans do not share more alleles with Natufians than with other ancient Eurasians (Extended Data Table 1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAncient samples from the Levant project at one end of the Near Eastern cline, and ancient samples from Iran at the other.
“Ancient samples from the Levant project at one end of the Near Eastern cline, and ancient samples from Iran at the other.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the Levant, early farmers share significantly more alleles with Natufians than with the early farmers of Iran: f4(Levant_N, Chimp; Natufian, Iran_N) is significantly positive (Z=13.6).
“We confirm this in the Levant by showing that its early farmers share significantly more alleles with Natufians than with the early farmers of Iran: the statistic f4(Levant_N, Chimp; Natufian, Iran_N) is significantly positive (Z=13.6).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBy the Bronze Age, genetic differentiation between pairs of West Eurasian populations had reached its present-day low levels: today, FST is ≤0.025 for 95% of the pairs of West Eurasian populations and ≤0.046 for all pairs.
“In contrast, by the Bronze Age, genetic differentiation between pairs of West Eurasian populations had reached its present-day low levels (Fig. 3): today, FST is ≤0.025 for 95% of the pairs of West Eurasian populations and ≤0.046 for all pairs (Fig. 3).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe study assembled radiocarbon dates for 26 individuals, 22 newly generated for this study.
“We assembled radiocarbon dates for 26 individuals (22 new generated for this study) (Supplementary Data Table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPCA, ADMIXTURE, and outgroup f3 analysis cluster Levantine hunter-gatherers (Natufians) with Levantine farmers, and Iranian and Caucasus Hunter Gatherers with Iranian farmers.
“The qualitative evidence for this is that PCA, ADMIXTURE, and outgroup f3 analysis cluster Levantine hunter-gatherers (Natufians) with Levantine farmers, and Iranian and Caucasus Hunter Gatherers with Iranian farmers (Fig. 1b; Extended Data Fig. 1; Extended Data Fig. 3).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataEastern Eurasians have EHG ancestry.
“(c) EHG ancestry in Eastern Eurasians”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe population structure of the ancient Near East was not independent of that of Europe, as evidenced by the highly significant (Z=−8.9) statistic f4(Iran_N, Natufian;WHG, EHG) which suggests gene flow in 'northeastern' (Neolithic Iran/EHG) and 'southwestern' (Levant/WHG) interaction spheres.
“The population structure of the ancient Near East was not independent of that of Europe (Supplementary Information, section 4), as evidenced by the highly significant (Z=−8.9) statistic f4(Iran_N, Natufian;WHG, EHG) which suggests gene flow in ‘northeastern’ (Neolithic Iran/EHG) and ‘southwestern’ (Levant/WHG) interaction spheres (Fig. 4d).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEastern Eurasians have Afontova Gora (AG2) ancestry, with the remainder of their ancestry forming a clade with Onge.
“(d) Afontova Gora (AG2) ancestry in Eastern Eurasians; the remainder of their ancestry is a clade with Onge.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWestern Iranian first farmers cluster with the likely Mesolithic HotuIIIb individual and more remotely with hunter-gatherers from the southern Caucasus.
“Western Iranian first farmers cluster with the likely Mesolithic HotuIIIb individual and more remotely with hunter-gatherers from the southern Caucasus (Fig. 1b)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe ANI can be modelled as a mix of ancestry related to both early farmers of western Iran and to people of the Bronze Age Eurasian steppe; all sampled South Asian groups are inferred to have significant amounts of both ancestral types.
“However, it can be modelled as a mix of ancestry related to both early farmers of western Iran and to people of the Bronze Age Eurasian steppe; all sampled South Asian groups are inferred to have significant amounts of both ancestral types.”
Quote in the paperSubstantial claim- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
May combine two claims.
Findingown dataEast African ancestry is significantly better modelled by Levantine early farmers than by Anatolian or early European farmers, implying that the spread of this ancestry to East Africa was not from the same group that spread Near Eastern ancestry into Europe.
“However, our analysis shows that East African ancestry is significantly better modelled by Levantine early farmers than by Anatolian or early European farmers, implying that the spread of this ancestry to East Africa was not from the same group that spread Near Eastern ancestry into Europe (Extended Data Fig. 5; Supplementary Information, section 8).”
Quote in the paperSubstantial claim- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
May combine two claims.
Findingown dataAdmixture from populations related to the Chalcolithic people of western Iran contributed ~44% of the ancestry of Levantine Bronze Age populations and ~33% of the ancestry of the Chalcolithic northwest Anatolians.
“Admixture from populations related to the Chalcolithic people of western Iran had a wide impact, consistent with contributing ~44% of the ancestry of Levantine Bronze Age populations in the south and ~33% of the ancestry of the Chalcolithic northwest Anatolians in the west.”
Quote in the paperSubstantial claim- Rests on an assumption: The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
May combine two claims.
Findingown dataAreas of high shared genetic drift among ancient West Eurasian populations include early Anatolian and European farmers; European hunter-gatherers, Steppe populations and ones admixed with steppe ancestry; populations from the Levant from the Epipaleolithic (Natufians) to the Bronze Age; and populations from Iran from the Mesolithic to the Late Neolithic.
“Areas of high shared genetic drift are ‘yellow’ and include from top-right to bottom-left along the diagonal: early Anatolian and European farmers; European hunter-gatherers, Steppe populations and ones admixed with steppe ancestry; populations from the Levant from the Epipaleolithic (Natufians) to the Bronze Age; populations from Iran from the Mesolithic to the Late Neolithic.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe f4 statistics testing Natufian-African gene flow are mostly negative and all non-significant (|Z|<3), providing no evidence that Natufians differ from other ancient samples with respect to African populations.
“However, we find most of them to be negative in sign and all of them to be non-significant (|Z|<3), providing no evidence that Natufians differ from other ancient samples with respect to African populations.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese results point to a demographic process that established high differentiation across West Eurasia and then reduced this differentiation over time.
“These results point to a demographic process that established high differentiation across West Eurasia and then reduced this differentiation over time.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningBy extrapolation, the Basal Eurasian population had lower Neanderthal ancestry than non-Basal Eurasian populations and possibly none (ninety-five percent confidence interval truncated at zero of 0-60%).
“By extrapolation, we infer that the Basal Eurasian population had lower Neanderthal ancestry than non-Basal Eurasian populations and possibly none (ninety-five percent confidence interval truncated at zero of 0-60%; Fig. 2; Methods).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationBetween 10,000-9,000 BCE, humans began practicing agriculture in the Near East.
“Between 10,000-9,000 BCE, humans began practicing agriculture in the Near East1.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Barker, G. & Goucher, C. The Cambridge World History Volume II: A World with agriculture, 12,000 BCE–500 CE (Cambridge Univ. Press, 2015) source
May combine two claims.
Interpretationown dataWestern Iranian first farmers share alleles at an equal rate with Anatolian and Levantine early farmers, highlighting the long-term isolation of western Iran.
“and share alleles at an equal rate with Anatolian and Levantine early farmers (Supplementary Information, section 7), highlighting the long-term isolation of western Iran.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe data are consistent with an Anatolian origin of farming in Europe, but do not reject other sources, since the spatial distribution of the Anatolian/European-like farmer populations is unknown.
“This is consistent with an Anatolian origin of farming in Europe, but does not reject other sources, since the spatial distribution of the Anatolian/European-like farmer populations is unknown.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataDuring subsequent millennia, the early farmer populations of the Near East expanded in all directions and mixed, as populations of the Chalcolithic and subsequent Bronze Age can only be modelled as having ancestry from two or more sources.
“During subsequent millennia, the early farmer populations of the Near East expanded in all directions and mixed, as we can only model populations of the Chalcolithic and subsequent Bronze Age as having ancestry from two or more sources.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataApplying the ghost-population method while withholding major populations validated some key inferences, successfully inferring mixture proportions consistent with those obtained when the populations are included in the analysis.
“Applying this while withholding major populations, we validated some of our key inferences, successfully inferring mixture proportions consistent with those obtained when the populations are included in the analysis.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe spread of ideas and farming technology moved faster than the spread of people, as determined from the fact that the population structure of the Near East was maintained throughout the transition to agriculture.
“Instead, the spread of ideas and farming technology moved faster than the spread of people, as we can determine from the fact that the population structure of the Near East was maintained throughout the transition to agriculture.”
Quote in the paperSubstantial claim- Rests on an assumption: The relative homogeneity of present-day West Eurasians reflects extensive migration and admixture that homogenized geographically and genetically disparate sources of ancestry.
- Rests on an assumption: The spread of the world's first farmers from the Near East was a mechanism for homogenizing West Eurasian ancestry.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNo statistical methods were used to predetermine sample size.
“No statistical methods were used to predetermine sample size.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe experiments were not randomized and the investigators were not blinded to allocation during experiments and outcome assessment.
“The experiments were not randomized and the investigators were not blinded to allocation during experiments and outcome assessment.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The relative homogeneity of present-day West Eurasians reflects extensive migration and admixture that homogenized geographically and genetically disparate sources of ancestry.
“The relative homogeneity of present-day West Eurasians in a world context2 suggests the possibility of extensive migration and admixture that homogenized geographically and genetically disparate sources of ancestry.”
The paper relies on this without support.
The spread of the world's first farmers from the Near East was a mechanism for homogenizing West Eurasian ancestry.
“The spread of the world's first farmers from the Near East would have been a mechanism for such homogenization.”
The paper relies on this without support.
The qpAdm/f4 reference populations used in the analyses are appropriate proxies for the ancestral populations they represent.
“We used qpAdm7 to estimate Basal Eurasian ancestry in each Test population.”
“We used this approach to carry out a systematic survey of ancient West Eurasian populations to explore their possible sources of admixture (Fig. 4; Supplementary Information, section 7).”
The authors state this as an assumption.
Basal Eurasians had no less Neanderthal admixture than Mbuti from sub-Saharan Africa.
“We truncated to 0-60% on the assumption that Basal Eurasians had no less Neanderthal admixture than Mbuti from sub-Saharan Africa.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Previous ancient DNA studies published genome-scale data for 13 individuals from four Bronze Age sites in the Southern Levant.
“Previous ancient DNA studies published genome-scale data for 13 individuals from four Bronze Age sites in the Southern Levant: three individuals from ‘Ain Ghazal in present-day Jordan, dated to ~2300 BCE (Intermediate Bronze Age) (Lazaridis et al., 2016); five from Sidon in present-day Lebanon, dated to ~1750 BCE (Middle Bronze Age) (Haber et al., 2017); two from Tel Shadud in present-day Israel,”
From The Genomic History of the Bronze Age Southern Levant (2020) · cites this paper as Lazaridis et al., 2016
The paper’s Abstract (page unavailable) reports genome-wide ancient DNA from the southern Levant, including individuals from ‘Ain Ghazal and individuals from the Bronze Age. But it identifies the ‘Ain Ghazal samples it mentions as Pre-Pottery Neolithic (8,300–6,700 BCE); our copy does not establish three ‘Ain Ghazal individuals dated to ~2300 BCE. The citation is attached to that specific group, not to the other sites in the citing sentence. (LLM, conf=0.78)
Experimental — accuracy not yet measuredTwo previous studies modeled Bronze Age individuals from 'Ain Ghazal and Sidon as derived from a mixture of earlier local groups (Levant_N) and groups related to peoples of the Chalcolithic Zagros mountains (Iran_ChL).
“Two previous studies of Bronze Age individuals from ‘Ain Ghazal and Sidon modeled them as derived from a mixture of earlier local groups (Levant_N) and groups related to peoples of the Chalcolithic Zagros mountains (Iran_ChL) (Haber et al., 2017; Lazaridis et al., 2016).”
From The Genomic History of the Bronze Age Southern Levant (2020) · cites this paper as Lazaridis et al., 2016
The section ‘How diverse first farmers of the Near East mixed to form the region’s later populations’ (page unavailable) reports that people related to Chalcolithic western Iranians contributed ancestry to Levantine Bronze Age populations; Extended Data also identifies Levant_N as an admixture reference for Levant_BA. But the paper describes its ‘Ain Ghazal samples as Pre-Pottery Neolithic, not Bronze Age, and the passages do not identify Bronze Age individuals from Sidon. The site-specific attribution is therefore unsupported. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThese groups were estimated to harbor around 56%±3% and 48%±4% Neolithic Levant-related ancestry for 'Ain Ghazal and Sidon, respectively.
“These groups were estimated to harbor around 56%±3% and 48%±4% Neolithic Levant-related ancestry for ‘Ain Ghazal (Lazaridis et al., 2016) and Sidon (Haber et al., 2017), respectively.”
From The Genomic History of the Bronze Age Southern Levant (2020) · cites this paper as Lazaridis et al., 2016
In “How diverse first farmers of the Near East mixed to form the region’s later populations” (page unavailable), the paper estimates that a population related to Chalcolithic western Iran contributed about 44% of southern Levantine Bronze Age ancestry, consistent with roughly 56% from other ancestry. Our copy does not give the cited ±3% uncertainty or explicitly assign that 56% Neolithic Levant-related estimate to ‘Ain Ghazal. The separately cited Sidon estimate is not being judged against this source. (LLM, conf=0.82)
Experimental — accuracy not yet measuredLazaridis et al. showed that the Levant Bronze Age population from the site of 'Ain Ghazal, Jordan (2490-2300 BCE) could be fit statistically as a mixture of around 56% ancestry from a group related to Levantine Pre-Pottery Neolithic agriculturalists and 44% related to populations of the Iranian Chalcolithic.
“Lazaridis et al.24 showed that the Levant Bronze Age population from the site of 'Ain Ghazal, Jordan (2490–2300 BCE) could be fit statistically as a mixture of around 56% ancestry from a group related to Levantine Pre-Pottery Neolithic agriculturalists (represented by ancient DNA from Motza, Israel and 'Ain Ghazal, Jordan; 8300–6700 BCE) and 44% related to populations of the Iranian Chalcolithic (”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as Lazaridis et al.24
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredPrevious genome-wide ancient DNA studies from the Near East have revealed that at the time when agriculture developed, populations from Anatolia, Iran, and the Levant were approximately as genetically differentiated from each other as present-day Europeans and East Asians are today.
“Previous genome-wide ancient DNA studies from the Near East have revealed that at the time when agriculture developed, populations from Anatolia, Iran, and the Levant were approximately as genetically differentiated from each other as present-day Europeans and East Asians are today24,25.”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [24]
The ‘Extreme regional differentiation in the ancient Near East’ section (page not provided) reports that ancient populations at the four corners of its genetic quadrangle had FST values of 0.08–0.15, comparable to 0.09–0.13 between present-day West Eurasians and Han East Asians. But those four corners include the Levant and Iran alongside two European hunter-gatherer groups—not Anatolia. The passage therefore does not establish the stated comparison for populations from all three named regions relative to each other. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Previously reported median pairwise FST between populations in pre-Neolithic periods is 0.098 (range: 0.023-0.153), in Bronze Age periods 0.015 (range: 0.002-0.045), and in present-day West Eurasian populations 0.011 (range: 0-0.046).
“relative to a previously reported median pairwise FST of 0.098 (range: 0.023–0.153) observed between populations in pre-Neolithic periods, 0.015 (range: 0.002–0.045) in the Bronze Age periods, and 0.011 (range: 0–0.046) in present-day West Eurasian populations24.”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [24]
The section “Extreme regional differentiation in the ancient Near East” reports high FST among early West Eurasian populations and says differentiation had fallen to present-day low levels by the Bronze Age. It also gives 0.046 as the upper bound for present-day West Eurasian pairs. Our copy does not report the three claimed medians or the full ranges for the pre-Neolithic and Bronze Age periods. (LLM, conf=0.86)
Experimental — accuracy not yet measuredPreviously published Bronze Age Levantine samples from 'Ain Ghazal (Levant_BA_South) and Sidon (Levant_BA_North) can be modeled as two-way admixtures, without the Anatolia_N contribution that is required to model the Levant_ChL population.
“It was striking to us that previously published Bronze Age Levantine samples from the sites of 'Ain Ghazal in present-day Jordan (Levant_BA_South) and Sidon in present-day Lebanon (Levant_BA_North) can be modeled as two-way admixtures, without the Anatolia_N contribution that is required to model the Levant_ChL population24,26.”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [24]
The section on how early farmers mixed reports admixture in southern Levantine Bronze Age populations, and Extended Data Table 2 identifies Levant_BA admixture using Iran_N and Levant_N references. These passages support a two-source model for the southern population, but they do not establish it for Bronze Age samples from Sidon or address the claimed contrast with Levant_ChL and its required Anatolia_N contribution. (LLM, conf=0.85)
Experimental — accuracy not yet measuredLevant_BA_South and Levant_BA_North are treated as separate populations for analysis, since the symmetry statistic f4(Levant_BA_North, Levant_BA_South; A, Chimp) is significant for a number of test populations A.
“In what follows, we treat Levant_BA_South and Levant_BA_North as separate populations for analysis, since the symmetry statistic f4(Levant_BA_North, Levant_BA_South; A, Chimp) is significant for a number test populations A (|Z| ≥ 3) (Supplementary Data 5), consistent with the different estimated proportions of Levant_N and Iran_ChL ancestry reported in24,26.”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [24]
The section ‘How diverse first farmers of the Near East mixed to form the region's later populations’ estimates that Iran Chalcolithic–related ancestry contributed about 44% to southern Levantine Bronze Age populations. Our copy does not give a corresponding northern estimate or report the stated north–south f4 test. The citing authors present that test and their decision to analyze the populations separately as their own analysis, not as findings of this source. (LLM, conf=0.82)
Experimental — accuracy not yet measuredEarlier (Neolithic and Epipaleolithic) Levantine populations were dominated by haplogroup E.
“This finding contrasts with both earlier (Neolithic and Epipaleolithic) Levantine populations, which were dominated by haplogroup E24”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [24]
The section on Basal Eurasian ancestry (page unavailable) says that Epipaleolithic Natufians and successor Levantine Neolithic populations carried Y-chromosome haplogroup E. It does not establish that haplogroup E dominated those populations; carrying it does not by itself show a majority or predominance. (LLM, conf=0.84)
Experimental — accuracy not yet measuredHaplogroup J was absent in all Natufian and Neolithic Levant male individuals examined thus far, but emerged during the Bronze Age in Lebanon and Jordan along with ancestry related to Iran_ChL.
“we compiled frequencies of Y-chromosome haplogroups in this geographical area and their changes over time in a dataset of ancient and modern Levantine populations (Figure S12), and note, similarly to Lazaridis et al.,13 that haplogroup J was absent in all Natufian and Neolithic Levant male individuals examined thus far, but emerged during the Bronze Age in Lebanon and Jordan along with ancestry”
From Continuity and Admixture in the Last Five Millennia of Levantine History from Ancient Canaanite and Present-Day Lebanese Genome Sequences (2017) · cites this paper as [13]
The section on Basal Eurasian ancestry (page unavailable) reports haplogroup E in Natufian and successor Levantine Neolithic males, but does not establish that J was absent from every male examined. The section on later population mixing (page unavailable) reports ancestry related to Chalcolithic western Iran in Bronze Age southern Levantines; it does not report haplogroup J emerging in Bronze Age Lebanon or Jordan, or link that haplogroup to the ancestry change. (LLM, conf=0.86)
Experimental — accuracy not yet measuredFarmers could have acted as a population that diluted Neanderthal ancestry in western Eurasia.
“Thus, FAs could have acted as a population that diluted NE ancestry in western Eurasia (text S4), as previously suggested (16, 17).”
From Past human expansions shaped the spatial pattern of Neanderthal ancestry (2023) · cites this paper as [16]
The ancestry of the previously published Bronze Age Southern Levant individuals could be modeled as a mixture of earlier local groups and groups related to the Chalcolithic people of the Zagros Mountains (Iran_ChL).
“The ancestry of these individuals could be modeled as a mixture of earlier local groups and groups related to the Chalcolithic people of the Zagros Mountains, located in present-day Iran and designated in previous studies as Iran_ChL (Haber et al., 2017; Lazaridis et al., 2016).”
From The Genomic History of the Bronze Age Southern Levant (2020) · cites this paper as Lazaridis et al., 2016
Earlier genetic analyses modeled the genomes of Middle to Late Bronze Age people of the Southern Levant as having almost equal shares of earlier local populations (Levant_N) and populations related to the Chalcolithic Zagros, suggesting a movement from the northeast into the Southern Levant.
“Earlier genetic analyses modeled the genomes of Middle to Late Bronze Age people of the Southern Levant as having almost equal shares of earlier local populations (Levant_N) and populations that are related to the Chalcolithic Zagros (Feldman et al., 2019; Haber et al., 2017; Lazaridis et al., 2016), suggesting a movement from the northeast into the Southern Levant.”
From The Genomic History of the Bronze Age Southern Levant (2020) · cites this paper as Lazaridis et al., 2016
By the Bronze Age, expansion of different Near Eastern agriculturalist populations-Anatolian, Iranian, and Levantine-in all directions and admixture with each other substantially homogenized populations across the region, thereby contributing to the relatively low genetic differentiation that prevails today.
“By the Bronze Age, however, expansion of different Near Eastern agriculturalist populations—Anatolian, Iranian, and Levantine—in all directions and admixture with each other substantially homogenized populations across the region, thereby contributing to the relatively low genetic differentiation that prevails today24.”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [24]
Measured in terms of average coverage at SNPs, the increase in data quality is even more pronounced than in previous studies of ancient Near Easterners.
“Measured in terms of the average coverage at SNPs, the increase is even more pronounced due to the higher quality of the data reported here than in previous studies of ancient Near Easterners24,26.”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [24]
The placement of the Levant_ChL cluster is consistent with a previously observed pattern whereby chronologically later Levantine populations are shifted towards the Iran Chalcolithic population compared to earlier Levantine populations.
“The placement of the Levant_ChL cluster is consistent with a previously observed pattern whereby chronologically later Levantine populations are shifted towards the Iran Chalcolithic (Iran_ChL) population compared to earlier Levantine populations, Levant_N (Pre-Pottery and Pottery Neolithic agriculturalists from present-day Israel and Jordan) and Natufians (Epipaleolithic hunter-gatherers from”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [24]
Early farmers are partly genetically derived from the previously identified basal Eurasian lineage.
“It has been proposed that the early FAs are partly genetically derived from the previously identified “basal Eurasian” lineage (16, 17, 51).”
From Past human expansions shaped the spatial pattern of Neanderthal ancestry (2023) · cites this paper as [16]
The basal Eurasian lineage diverged from other Eurasian hunter-gatherer populations before the latter mixed with Neanderthals, and therefore had a lower Neanderthal ancestry.
“This lineage is thought to have diverged from other Eurasian HG populations before the latter mixed with the NE, and therefore had a lower NE ancestry (16, 17, 51).”
From Past human expansions shaped the spatial pattern of Neanderthal ancestry (2023) · cites this paper as [16]
ADMIXTURE reveals that the three ancient Egyptians differ from modern Egyptians by a relatively larger Near Eastern genetic component, in particular a component found in Neolithic Levantine ancient individuals.
“Model-based clustering using ADMIXTURE37 (Fig. 4b, Supplementary Fig. 4) further supports these results and reveals that the three ancient Egyptians differ from modern Egyptians by a relatively larger Near Eastern genetic component, in particular a component found in Neolithic Levantine ancient individuals36 (Fig. 4b).”
From Ancient Egyptian mummy genomes suggest an increase of Sub-Saharan African ancestry in post-Roman periods (2017) · cites this paper as [36]
The Levant_ChL population does not serve as a likely source of the Levantine-related ancestry in present-day East African populations.
“We additionally find that the Levant_ChL population does not serve as a likely source of the Levantine-related ancestry in present-day East African populations (see Supplementary Note 4)24.”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [24]
The section ‘The Near Eastern contribution to Europeans, East Africans and South Asians’ says East African ancestry is better modelled by Levantine early farmers than by Anatolian or early European farmers. Neither that passage nor the Extended Data passages assess whether Levant_ChL is an unlikely source. A search for ‘Levant_ChL’ found no passage addressing that specific claim. (LLM, conf=0.75)
Experimental — accuracy not yet measuredLater Bronze Age individuals all belonged to haplogroup J.
“and later Bronze Age individuals, all of whom belonged to haplogroup J24,26.”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [24]
The Abstract says the sample includes Bronze Age individuals, but does not give their haplogroups. The section on Basal Eurasian ancestry identifies haplogroup E in earlier Natufian and Levantine Neolithic populations; searches for Bronze Age haplogroup J and Y-chromosome lineages found no passage establishing that all later Bronze Age individuals belonged to J. (LLM, conf=0.72)
Experimental — accuracy not yet measuredSidon_BA clusters with three individuals from Early Bronze Age Jordan (Jordan_BA).
“The PCA shows that Sidon_BA clusters with three individuals from Early Bronze Age Jordan (Jordan_BA) found in a cave above the Neolithic site of ‘Ain Ghazal and probably associated with an Early Bronze Age village close to the site.13”
From Continuity and Admixture in the Last Five Millennia of Levantine History from Ancient Canaanite and Present-Day Lebanese Genome Sequences (2017) · cites this paper as [13]
The Abstract describes samples from Jordan and Bronze Age individuals, and the ‘Extreme regional differentiation’ section discusses PCA positions of ancient Levantine samples; neither identifies three Jordan_BA individuals clustering with Sidon_BA. Searches for Sidon_BA, Jordan_BA, and the ‘Ain Ghazal cave description found no passage establishing that comparison. Page numbers were not available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
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Self-citationUpper Palaeolithic Siberian genome reveals dual ancestry of Native Americans
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Self-citationReconstructing Native American population history
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Self-citationAn early modern human from Romania with a recent Neanderthal ancestor
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Self-citationGenome flux and stasis in a five millennium transect of European prehistory
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Self-citationDNA analysis of an early modern human from Tianyuan Cave, China
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Self-citationPartial uracil–DNA–glycosylase treatment for screening of ancient DNA
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Self-citationA mitochondrial genome sequence of a hominin from Sima de los Huesos
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Self-citationA “Copernican” Reassessment of the Human Mitochondrial DNA Tree from its Root
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Self-citationRemoval of deaminated cytosines and detection of in vivo methylation in ancient DNA
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Self-citationOptimal ancient DNA yields from the inner ear part of the human petrous bone
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Self-citationNew insights into the Tyrolean Iceman's origin and phenotype as inferred by whole-genome sequencing
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Self-citationUpper Palaeolithic genomes reveal deep roots of modern Eurasians
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Self-citationGenetic Evidence for Recent Population Mixture in India
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Self-citationGenomic Ancestry of North Africans Supports Back-to-Africa Migrations
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Self-citationAncient west Eurasian ancestry in southern and eastern Africa
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Self-citationAncient Ethiopian genome reveals extensive Eurasian admixture in Eastern Africa
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Self-citationAncient genomes link early farmers from Atapuerca in Spain to modern-day Basques
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Reducing Microbial and Human Contamination in DNA Extractions from Ancient Bones and Teeth
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Self-citationGenome-Wide and Paternal Diversity Reveal a Recent Origin of Human Populations in North Africa
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Insights into human genetic variation and population history from 929 diverse genomes
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Self-citationThe formation of human populations in South and Central Asia
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“Wealso examinedwhenSteppe pastoralist–derived ancestry (9) mixed into groups in South Asia, and placed constraints on whether Steppe-related ancestry or Iranian-related ancestry is more plausibly associated with the spread of Indo-European languages in South Asia.”
InfluentialSelf-citationThe Beaker phenomenon and the genomic transformation of northwest Europe
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Self-citationThe genomic history of southeastern Europe
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Self-citationThe genomic history of the Iberian Peninsula over the past 8000 years
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Did Our Species Evolve in Subdivided Populations across Africa, and Why Does It Matter?
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Ancient DNA indicates human population shifts and admixture in northern and southern China
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Self-citationAncient genomes document multiple waves of migration in Southeast Asian prehistory
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Self-citationReconstructing Prehistoric African Population Structure
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“Earlier migration(s), which brought ancestry related to the ancient Near East (Lazaridis et al., 2016; Pagani et al., 2012; Pickrell et al., 2014), brought herding to eastern Africa by 4,000 BP (Marshall et al., 1984) and to southern Africa by 2,000 BP (Sadr, 2015).”
InfluentialSelf-citationThe first horse herders and the impact of early Bronze Age steppe expansions into Asia
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“Particularly, the first identified presence of Caucasian genomic ancestry in steppe populations is through the Khvalynsk burials (2, 47) and that of steppe ancestry in the Caucasus is through Armenian Copper Age individuals (42).”
InfluentialOrigins of modern human ancestry
Bergström, A., Stringer, C. B., Hajdinjak, M., Scerri, E. M. L., & Skoglund, P. (2021) · Nature · doi:10.1038/s41586-021-03244-5 · Cited by 426 · see citing works
Parallel palaeogenomic transects reveal complex genetic history of early European farmers
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InfluentialSelf-citationReconstructing the Deep Population History of Central and South America
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Self-citationThe Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes
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Self-citationEstimating genetic kin relationships in prehistoric populations
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Ancient genomes show social and reproductive behavior of early Upper Paleolithic foragers
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Ancient pathogen genomics as an emerging tool for infectious disease research
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“This technique has contributed to the increased number of specimens from which human genome wide single nucleotide polymorphism (SNP) data could be retrieved 84, 85 , even from climate zones that pose challenges to aDNA preservation (pre sented elsewhere [86] [87] [88] ).”
Self-citationA Dynamic 6,000-Year Genetic History of Eurasia’s Eastern Steppe
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Self-citationOrigins and genetic legacy of prehistoric dogs
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Ancient Rome: A genetic crossroads of Europe and the Mediterranean
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Self-citationArchaeogenomic evidence reveals prehistoric matrilineal dynasty
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Self-citationEmergence and Spread of Basal Lineages of Yersinia pestis during the Neolithic Decline
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Kinship-based social inequality in Bronze Age Europe
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Self-citationThe genetic prehistory of the Baltic Sea region
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Genetic origins of the Minoans and Mycenaeans
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“[13] It proposes that as migrants, they filled a largely depopulated landscape.”
Self-citationPalaeogenomics of Upper Palaeolithic to Neolithic European hunter-gatherers
Posth, C., He, Y. H., Ghalichi, A., Rougier, H., Crèvecoeur, I., Huang, Y., Ringbauer, H., Rohrlach, A. B., Nägele, K., Villalba‐Mouco, V., et al. (2023) · Nature · doi:10.1038/s41586-023-05726-0 · Cited by 275 · see citing works
Dual domestications and origin of traits in grapevine evolution
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On the limits of fitting complex models of population history to f-statistics
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Self-citationPalaeo-Eskimo genetic ancestry and the peopling of Chukotka and North America
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Self-citationIdentifying and Interpreting Apparent Neanderthal Ancestry in African Individuals
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Uganda Genome Resource Enables Insights into Population History and Genomic Discovery in Africa
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Pleistocene North African genomes link Near Eastern and sub-Saharan African human populations
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Self-citationThe genetic history of admixture across inner Eurasia
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“…southern Siberia revealed a genetic profile, often called “Ancient North Eurasians (ANE)”, which is deeply related to Paleolithic/Mesolithic hunter-gatherers in Europe and also substantially contributed to the gene pools of present-day Native Americans, Siberians, Europeans and South Asians 19,20 .”
InfluentialSelf-citation40,000-Year-Old Individual from Asia Provides Insight into Early Population Structure in Eurasia
Yang, M. A., Gao, X., Theunert, C., Tong, H., Aximu‐Petri, A., Nickel, B., Slatkin, M., Meyer, M., Pääbo, S., Kelso, J. F., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.09.030 · Cited by 237 · see citing works
Self-citationThe deep population history of northern East Asia from the Late Pleistocene to the Holocene
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Self-citationAncient Genomics of Modern Humans: The First Decade
Skoglund, P., & Mathieson, I. (2018) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083117-021749 · Cited by 246 · see citing works
Ancient Cattle Genomics, Origins, and Rapid Turnover in the Fertile Crescent
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“IAM samples belong to the mtDNA haplogroups U6a and M1— both of which are associated with the back migration to Africa from Eurasia in Upper Paleolithic times (19, 20) and observed in Moroccan Later Stone Age individuals (17)—whereas KEB samples belong to haplogroups K1, T2, and X2, which are prominently found in Anat…”
InfluentialAncient genomes indicate population replacement in Early Neolithic Britain
Brace, S., Diekmann, Y., Booth, T. J., van Dorp, L., Faltyskova, Z., Rohland, N., Mallick, S., Olalde, Í., Ferry, M., Michel, M., et al. (2019) · Nature Ecology & Evolution · doi:10.1038/s41559-019-0871-9 · Cited by 255 · see citing works
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“…latest aDNA research is embedded in large-scale population studies (Allentoft et al. 2015; Mathieson et al. 2015; Haak et al. 2015; Fu et al. 2016; Lazaridis et al. 2016), ancient genomic studies also provide powerful insights into physical anthropology and archaeology, such as genetic…”
The Neolithic Transition in the Baltic Was Not Driven by Admixture with Early European Farmers
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Self-citationDairying, diseases and the evolution of lactase persistence in Europe
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Ancient goat genomes reveal mosaic domestication in the Fertile Crescent
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Self-citationInitial Upper Palaeolithic humans in Europe had recent Neanderthal ancestry
Hajdinjak, M., Mafessoni, F., Skov, L., Vernot, B., Hübner, A., Fu, Q., Essel, E., Nagel, S., Nickel, B., Richter, J., et al. (2021) · Nature · doi:10.1038/s41586-021-03335-3 · Cited by 217 · see citing works
“…these observations could be due to the fact that present-day populations in western Eurasia derive part of their ancestry from ‘Basal Eurasians’ 32,33 , an inferred population that diverged early from other non-African populations and may have ‘diluted’ allele sharing between western Eurasian…”
Self-citationAssessing the performance of qpAdm: a statistical tool for studying population admixture
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Self-citationPaleolithic to Bronze Age Siberians Reveal Connections with First Americans and across Eurasia
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Self-citationLimits of long-term selection against Neandertal introgression
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“Third, it has consequences for the so-called “dilution” hypothesis, which suggests that lower levels of Neandertal ancestry in Europeans compared with East Asians can be explained by dilution of Neandertal ancestry in Europeans due to admixture with a hypothetical Basal Eurasian population that carried little to no Ne…”
Comparing Ancient DNA Preservation in Petrous Bone and Tooth Cementum
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Human population history at the crossroads of East and Southeast Asia since 11,000 years ago
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Self-citationAncient Fennoscandian genomes reveal origin and spread of Siberian ancestry in Europe
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Self-citationDomestication of Industrial Microbes
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Population genomics of post-glacial western Eurasia
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“4, 6); Neolithic farmers expanding from the Middle East from around 11,000 bp (ref.”
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Self-citationAnalysis of 3800-year-old Yersinia pestis genomes suggests Bronze Age origin for bubonic plague
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Self-citationBronze Age population dynamics and the rise of dairy pastoralism on the eastern Eurasian steppe
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“To test these competing hypotheses, we systematically compared various admixture models of the main cluster using the qpAdm program (20).”
InfluentialSelf-citationThe genomic origins of the Bronze Age Tarim Basin mummies
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Self-citationMultiple episodes of interbreeding between Neanderthal and modern humans
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The genetic history of the Southern Arc: A bridge between West Asia and Europe
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“Whatever the reason for their demise on the steppe itself, the Yamnaya-descended R-Z2103 patrilineages survived in Armenia down to the present day, where this clade is present in appreciable frequencies in all studiedArmenian groups (38) despite the substantial dilution of autosomal steppe ancestry documented in our s…”
InfluentialSelf-citationExtensive Farming in Estonia Started through a Sex-Biased Migration from the Steppe
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Harnessing ancient genomes to study the history of human adaptation
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“Lazaridis et al.(157) 2016 44 16 Genome-wide SNPs Middle East and eastern Europe 6 31 7”
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“We investigated the migration and divergence of the South-and-Southeast Asian populations and estimated the time of their main expansions and gene flows among populations in different continents.”
InfluentialA unified genealogy of modern and ancient genomes
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Self-citationThe Anglo-Saxon migration and the formation of the early English gene pool
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“From this file, for each individual and each SNP on the 1240K panel 57,88,89 , one read covering the SNP was drawn at random, and a pseudohaploid call was made, that is, the ancient individual was assumed homozygous for the allele on the randomly drawn read for the SNP in question.”
Self-citationAncient West African foragers in the context of African population history
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Self-citationTaming the Past: Ancient DNA and the Study of Animal Domestication
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Efficiently Inferring the Demographic History of Many Populations With Allele Count Data
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Dynamic changes in genomic and social structures in third millennium BCE central Europe
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Self-citationThe Arrival of Siberian Ancestry Connecting the Eastern Baltic to Uralic Speakers further East
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Genes reveal traces of common recent demographic history for most of the Uralic-speaking populations
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Ancient DNA and deep population structure in sub-Saharan African foragers
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Self-citationGenetic history from the Middle Neolithic to present on the Mediterranean island of Sardinia
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The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean
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Self-citationKitayama, S., Salvador, C. E., Nanakdewa, K., Rossmaier, A., Martin, Á. S., & Savani, K. (2022) · American Psychologist · doi:10.1037/amp0001073 · Cited by 106 · see citing works
“This bifurcated migration had massive consequences, one of which is to form the Indo-European language family—a broad range of languages that share a common heritage, encompassing three major cultural zones today (Gimbutas, 1991; Lazaridis et al., 2016).”
InfluentialA working model of the deep relationships of diverse modern human genetic lineages outside of Africa
Lipson, M., & Reich, D. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw293 · Cited by 145 · see citing works
Self-citationThree assays for in-solution enrichment of ancient human DNA at more than a million SNPsPreprint
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“L1 DS 94.90% 789,102 675,731 1,074,256 (Lazaridis et al. 2016)a S2520.”
InfluentialSelf-citationPolygenic adaptation: From sweeps to subtle frequency shifts
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“This applies, in particular, to adaptation in modern human populations, which have experienced major admixture events in their history Lazaridis et al. (2016); Pickrell and Reich (2014) and only show few clear signals of selective sweeps Pritchard et al. (2010).”
Tales of Human Migration, Admixture, and Selection in Africa
Schlebusch, C. M., & Jakobsson, M. (2018) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083117-021759 · Cited by 147 · see citing works
“Their presence suggests some level of population continuity across the MSA in North Africa, including the Late Pleistocene populations in the Levant (at Skhul and Qafzeh) and in East Africa (at Aduma) (56, 111).”
InfluentialWang, K., Goldstein, S. T., Bleasdale, M., Clist, B., Bostoen, K. A. G., Bakwa-Lufu, P., Buck, L. T., Crowther, A., Dème, A., McIntosh, R. J., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaz0183 · Cited by 143 · see citing works
Self-citationadmixr —R package for reproducible analyses using ADMIXTOOLS
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Megalithic tombs in western and northern Neolithic Europe were linked to a kindred society
Sánchez‐Quinto, F., Malmström, H., Fraser, M., Girdland-Flink, L., Svensson, E., Simões, L. G., George, R., Hollfelder, N., Burenhult, G., Noble, G., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1818037116 · Cited by 139 · see citing works
“Individuals from the Scottish “short cist” burial Balintore (n = 1) and the Czech Republic Kolin Rondel site (n = 2) (46), associated with the Stroked Pottery culture, were also investigated.”
Genomic History of Neolithic to Bronze Age Anatolia, Northern Levant, and Southern Caucasus
Skourtanioti, E., Erdal, Y. S., Frangipane, M., Restelli, F. B., Yener, K. A., Pinnock, F., Matthiae, P., Özbal, R., Schoop, U.-D., Guliyev, F., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.044 · Cited by 140 · see citing works
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Self-citationHarney, É., May, H., Shalem, D., Rohland, N., Mallick, S., Lazaridis, I., Sarig, R., Stewardson, K., Nordenfelt, S., Patterson, N., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05649-9 · Cited by 141 · see citing works
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Self-citationFADS1 and the Timing of Human Adaptation to Agriculture
Mathieson, S., & Mathieson, I. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy180 · Cited by 130 · see citing works
Genetic ancestry changes in Stone to Bronze Age transition in the East European plain
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Heggarty, P., Anderson, C., Scarborough, M., King, B., Bouckaert, R., Jocz, L., Kümmel, M. J., Jügel, T., Irslinger, B., Pooth, R. A., et al. (2023) · Science · doi:10.1126/science.abg0818 · Cited by 140 · see citing works
“[ The latter was first reported as maximized in hunter-gatherers from the South Caucasus ( 45 ) and early herders/farmers in northwestern Iran ( 46 , 47 ), particularly the Zagros, hence the label “ CHG/Iranian.”
Self-citationFurholt, M. (2021) · Journal of Archaeological Research · doi:10.1007/s10814-020-09153-x · Cited by 135 · see citing works
Late Pleistocene human genome suggests a local origin for the first farmers of central Anatolia
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Self-citationSurvival of Late Pleistocene Hunter-Gatherer Ancestry in the Iberian Peninsula
Villalba‐Mouco, V., van de Loosdrecht, M. S., Posth, C., Torcal, R. M., Martínez‐Moreno, J., Guerra, M. Á. R., Salazar‐García, D. C., Royo-Guillén, J. I., Kunst, M., Rougier, H., et al. (2019) · Current Biology · doi:10.1016/j.cub.2019.02.006 · Cited by 125 · see citing works
Self-citationA genome sequence from a modern human skull over 45,000 years old from Zlatý kůň in Czechia
Prüfer, K., Posth, C., He, Y. H., Stoessel, A., Spyrou, M. A., Devièse, T., Mattonai, M., Ribechini, E., Higham, T., Velemínský, P., et al. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01443-x · Cited by 130 · see citing works
Self-citationLate Jomon male and female genome sequences from the Funadomari site in Hokkaido, Japan
Kanzawa‐Kiriyama, H., Jinam, T. A., Kawai, Y., Sato, T. K., Hosomichi, K., Tajima, A., Adachi, N., Matsumura, H., Kryukov, K. A., Saitou, N., et al. (2019) · Anthropological Science · doi:10.1537/ase.190415 · Cited by 126 · see citing works
“…Tibetan and Sherpa (Lu et al., 2016), genotypes of fully public Affymetrix Human Origins present-day individuals and ancient individuals analyzed by Lazaridis et al. (2016) and Skoglund et al. (2016) (the Pacific dataset), genotypes of three modern Japanese populations (Japanese Archipelago Human…”
A genetic probe into the ancient and medieval history of Southern Europe and West Asia
Lazaridis, I., Alpaslan-Roodenberg, S., Acar, A., Açıkkol, A., Agelarakis, A. P., Aghikyan, L., Akyüz, U., Andreeva, D., Andrijašević, G., Antonović, D., et al. (2022) · Science · doi:10.1126/science.abq0755 · Cited by 127 · see citing works
“estimating proportions of ancestry using a 5-source model that we developed for Southern Arc Holocene populations (1) which includes as proxies for the sources Caucasus hunter-gatherers (9), Eastern European hunter-gatherers (5, 10), Levantine Pre-Pottery Neolithic (11), Balkan hunter-gatherers from the Iron Gates in…”
Self-citationMondal, M., Bertranpetit, J., & Lao, O. (2019) · Nature Communications · doi:10.1038/s41467-018-08089-7 · Cited by 124 · see citing works
- Authors
- Lazaridis, I., Nadel, D., Rollefson, G., Merrett, D. C., Rohland, N., Mallick, S., Fernandes, D., Novak, M., Gamarra, B., Sirak, K., Connell, S., Stewardson, K., Harney, E., Fu, Q., Gonzalez-Fortes, G., Jones, E. R., Roodenberg, S. A., Lengyel, G., Bocquentin, F., Gasparian, B., Monge, J. M., Gregg, M., Eshed, V., Mizrahi, A.-S., Meiklejohn, C., Gerritsen, F., Bejenaru, L., Blüher, M., Campbell, A., Cavalleri, G., Comas, D., Froguel, P., Gilbert, E., Kerr, S. M., Kovacs, P., Krause, J., McGettigan, D., Merrigan, M., Merriwether, D. A., O'Reilly, S., Richards, M. B., Semino, O., Shamoon-Pour, M., Stefanescu, G., Stumvoll, M., Tönjes, A., Torroni, A., Wilson, J. F., Yengo, L., Hovhannisyan, N. A., Patterson, N., Pinhasi, R., & Reich, D.
- Affiliations
- Broad Institute (US)
- University of Haifa (IL)
- Whitman College (US)
- Simon Fraser University (CA)
- Harvard University (US)
- University College Dublin (IE)
- Howard Hughes Medical Institute (US)
- University of Cambridge (GB)
- University of Miskolc (HU)
- Centre National de la Recherche Scientifique (FR)
- Institute of Archaeology and Ethnography (AM)
- University of Pennsylvania (US)
- Israel Antiquities Authority (IL)
- The University of Winnipeg (CA)
- Netherlands Institute in Turkey (TR)
- University Hospital Leipzig (DE)
- Western General Hospital (GB)
- Royal College of Surgeons in Ireland (IE)
- Universitat Pompeu Fabra (ES)
- IFB Adiposity Diseases (DE)
- Max Planck Institute of Geoanthropology (DE)
- Binghamton University (US)
- University of Huddersfield (GB)
- University of Pavia (IT)
- Institute of Genetics and Cancer (GB)
- Yerevan State University (AM)
- Corresponding author
- Lazaridis, Iosif
- Pinhasi, Ron
- Reich, David
- ORCID
- Lazaridis, Iosif
- Nadel, Dani
- Rollefson, Gary
- Merrett, Deborah C.
- Rohland, Nadin
- Mallick, Swapan
- Fernandes, Daniel
- Novak, Mario
- Gamarra, Beatriz
- Sirak, Kendra
- Connell, Sarah
- Fu, Qiaomei
- Jones, Eppie R.
- Lengyel, György
- Bocquentin, Fanny
- Monge, Janet M.
- Eshed, Vered
- Meiklejohn, Christopher
- Gerritsen, Fokke
- Blüher, Matthias
- Campbell, Archie
- Cavalleri, Gianpiero
- Comas, David
- Froguel, Philippe
- Gilbert, Edmund
- Kerr, Shona M.
- Kovacs, Peter
- Krause, Johannes
- Merriwether, D. Andrew
- Richards, Martin B.
- Semino, Ornella
- Tönjes, Anke
- Torroni, Antonio
- Wilson, James F.
- Hovhannisyan, Nelli A.
- Patterson, Nick
- Pinhasi, Ron
- Reich, David
- Venue
- Nature
- Published
- 2016-07-25
- Volume
- 536
- Issue
- 7617
- Pages
- 419-424
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5003663
- OpenAlex
- W2504121104
- Semantic Scholar
- deb2c4ca6d44354a21769b4038e80d90691c16e0
- Cited by
- 955
- References
- 49
- Citations by year
- 2026: 61 · 2025: 124 · 2024: 86 · 2023: 77 · 2022: 112 · 2021: 107 · 2020: 81 · 2019: 110 · 2018: 96 · 2017: 84 · 2016: 15
- FWCI
- 74.53
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Nature (publishedVersion, public-domain)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (acceptedVersion, other-oa)
- HAL (submittedVersion, public-domain)
- University of Huddersfield Repository (University of Huddersfield) (submittedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (submittedVersion)
- PubMed Central (submittedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion)
- Institutional Research Information System University of Ferrara (University of Ferrara) (submittedVersion, other-oa)
- Huddersfield Research Portal (University of Huddersfield) (submittedVersion, other-oa)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Science Foundation (1455744, 1032255)
- Howard Hughes Medical Institute
- National Geographic Society (#8915-11)
- Scottish Government (CZD/16/6)
- Leverhulme Trust
- Scottish Funding Council (HR03006)
- Irish Research Council for the Humanities and Social Sciences
- Deutsche Forschungsgemeinschaft (CRC 1052, 01EO1501)
- National Natural Science Foundation of China (L1524016)
- Irish Research Council (GOIPG/2013/36, GOIPD/2013/1)
- Bundesministerium für Bildung und Forschung (FKZ 01EO1501, 01EO1501)
- Chinese Academy of Sciences
- Ministero dell’Istruzione, dell’Università e della Ricerca
- Università degli Studi di Pavia
- National Institutes of Health (GM100233)
- Chief Scientist Office, Scottish Government Health and Social Care Directorate (CZD/16/6)
- Medical Research Council
- National Institute of General Medical Sciences (GM100233, R01 GM100233)
- FP7 Ideas: European Research Council (263441)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Archaeology and ancient environmental studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- Neolithic transition, ancient Near East, Neanderthal admixture, Levant, Zagros Mountains, population substructure, hunter-gatherer to agricultural transition, human migration, Eurasian steppe, East Africa, South Asia
- MeSH terms
- Africa, Eastern, Agriculture, Animals, Armenia, Asia, DNA, Europe, Humans, Hybridization, Genetic, Iran, Israel, Jordan, Phylogeny, Turkey, Genomics, Racial Groups, History, Ancient, Phylogeography, Neanderthals, Human Migration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-26.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-26.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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