Cited by 959Forensic and Genetic ResearchArchaeology and ancient environmental studiesGenetic diversity and population structure

Genomic insights into the origin of farming in the ancient Near East

Open access
Lazaridis, Iosif, Nadel, Dani, Rollefson, Gary, Merrett, Deborah C., Rohland, Nadin, Mallick, Swapan, Fernandes, Daniel, Novak, Mario +45 more·2016·Nature

Published 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

Crossref · 10.1038/nature19310

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

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
  • 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 conductcitation

    The 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).

    Premisecitation

    Craniometric 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.

    Premisecitation

    Y 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 data

    The 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 checked
    • cites [13] Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409–413 (2014) source
    • cites [16] Patterson, N. et al. Ancient admixture in human history. Genetics 192, 1065–1093 (2012) source
  • May combine two claims.

    Findingown data

    The 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).

    Findingcitation

    The 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.

    Premisecitation

    Migrations 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 data

    The 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 checked
    • cites [16] Patterson, N. et al. Ancient admixture in human history. Genetics 192, 1065–1093 (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
  • May combine two claims.

    Findingown data

    The 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).

    Findingcitation

    Scandinavian 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.

    Findingcitation

    The 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.

    Findingcitation

    In 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).

    Premisecitation

    The 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 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
    • cites [8] Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499–503 (2015) source
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Previously, 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 data

    The 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    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).

    “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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    No 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 claim
  • May combine two claims.

    Findingown data

    Ancient 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    By 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    PCA, 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Eastern Eurasians have EHG ancestry.

    “(c) EHG ancestry in Eastern Eurasians”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    Eastern 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 claim
  • May combine two claims.

    Findingown data

    Western 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 claim
  • May combine two claims.

    Findingown data

    The 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 data

    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.

    “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 data

    Admixture 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 data

    Areas 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Interpretationown data

    These 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 claim
  • May combine two claims.

    Interpretationreasoning

    By 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 claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Between 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 data

    Western 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 claim
  • May combine two claims.

    Interpretationreasoning

    The 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 claim
  • May combine two claims.

    Interpretationown data

    During 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 claim
  • May combine two claims.

    Study design and conductown data

    Applying 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 claim
  • May combine two claims.

    Interpretationreasoning

    The 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 given

    No statistical methods were used to predetermine sample size.

    “No statistical methods were used to predetermine sample size.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The 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
43 of 43
  • 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.”
4 of 4

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 measured
  • Two 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 measured
  • These 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 measured
  • Lazaridis 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 measured
  • 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 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

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Ferembach, D. Squelettes du Natoufien d’Israel., etude anthropologique. Anthropologie 65, 46–66 (1961)

Cited by

Sorted by citations

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
Venue
Nature
Published
2016-07-25
Volume
536
Issue
7617
Pages
419-424
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2504121104
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
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.

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Statistics and arithmetic are recomputed, not judged.

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