The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
Genome-wide patterns of selection in 230 ancient Eurasians
Open accessPublished version of a preprint
Abstract
Ancient DNA makes it possible to observe natural selection directly by analysing samples from populations before, during and after adaptation events. Here we report a genome-wide scan for selection using ancient DNA, capitalizing on the largest ancient DNA data set yet assembled: 230 West Eurasians who lived between 6500 and 300 bc, including 163 with newly reported data. The new samples include, to our knowledge, the first genome-wide ancient DNA from Anatolian Neolithic farmers, whose genetic material we obtained by extracting from petrous bones, and who we show were members of the population that was the source of Europe's first farmers. We also report a transect of the steppe region in Samara between 5600 and 300 bc, which allows us to identify admixture into the steppe from at least two external sources. We detect selection at loci associated with diet, pigmentation and immunity, and two independent episodes of selection on height.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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.”
From Genomic insights into the origin of farming in the ancient Near East (2016) · cites this paper as [8]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“We combined our data with previously published ancient data7,8,9,10,8,10-15 to form a dataset of 281 ancient individuals.”
From Genomic insights into the origin of farming in the ancient Near East (2016) · cites this paper as [8]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“While the latter is both time and cost effective 160 and remains the only methodology showing sufficient sensitivity to gather data from extremely degraded specimens 119 , it considerably restricts the amount of information retrieved from samples showing better molecular preservation.”
From Ancient DNA analysis (2021) · cites this paper as [160]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In ancient human genome studies, this approach typically queries 1.2 million positions known to be polymorphic amongst a worldwide panel of contemporary human populations 160 , leaving other positions and other DNA material present in the extracts, like those from pathogens or microbiota, unexplored.”
From Ancient DNA analysis (2021) · cites this paper as [160]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“To the west, the early farmers of mainland Europe were descended from a population related to Neolithic northwestern Anatolians8.”
From Genomic insights into the origin of farming in the ancient Near East (2016) · cites this paper as [8]
The cited source says what the claim attributes to it.
In the citing paper
“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.”
From Genomic insights into the origin of farming in the ancient Near East (2016) · cites this paper as [8]
The cited source says what the claim attributes to it.
In the citing paper
“This individual had a derived allele at the SLC24A5 locus, which contributes to lighter skin pigmentation and was shown to be at high frequency in Neolithic Anatolia41, consistent with the ancestral affinity shown above.”
From Ancient Egyptian mummy genomes suggest an increase of Sub-Saharan African ancestry in post-Roman periods (2017) · cites this paper as [41]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“This suggests that the allele was rising in frequency in Chalcolithic and Bronze Age Near Eastern populations at the same time as it was rising in frequency in Europe.”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [31]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“that has been argued to have been under positive selection by Mathieson et al.31”
From Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation (2018) · cites this paper as [31]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“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.”
From Genomic insights into the origin of farming in the ancient Near East (2016) · cites this paper as [8]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Scandinavian hunter-gatherers7,8,13 (SHG) are a mix of EHG and WHG;”
From Genomic insights into the origin of farming in the ancient Near East (2016) · cites this paper as [8]
Experimental — accuracy not yet measuredIn the citing paper
“However, western hunter-gatherers of central and southern European populations survived in Palaeolithic Europe with dark skin pigmentation [44, 45]”
From Ancient DNA and the rewriting of human history: be sparing with Occam’s razor (2016) · cites this paper as [44]
In the citing paper
“Consistent with this hypothesis, aDNA analyses show that Scandinavian hunter-gatherers and Early European farmers indeed carried derived alleles contributing to light skin [44].”
From Ancient DNA and the rewriting of human history: be sparing with Occam’s razor (2016) · cites this paper as [44]
In the citing paper
“increasing dramatically in just the past 3000 years”
From Ancient DNA and the rewriting of human history: be sparing with Occam’s razor (2016) · cites this paper as [44]
In the citing paper
“In fact, only a limited number of strong selective sweeps associated with diet and pigmentation can be associated with agriculture in Europe [44].”
From Ancient DNA and the rewriting of human history: be sparing with Occam’s razor (2016) · cites this paper as [44]
In the citing paper
“being found in only 10 % of Bronze Age Europeans”
From Ancient DNA and the rewriting of human history: be sparing with Occam’s razor (2016) · cites this paper as [44]
In the citing paper
“Even lactose tolerance, assumed to be associated with pastoralism, appears to have been absent in early European farmers”
From Ancient DNA and the rewriting of human history: be sparing with Occam’s razor (2016) · cites this paper as [44]
In the citing paper
“Additional pigmentation-associated loci, including HERC2/OCA2 , TYR and GRM5 , also show evidence of allele-frequency change or selection during this period, reflecting the complex evolution of skin, hair, and eye pigmentation in European populations ( Mathieson et al., 2015 ; Irving-Pease et al., 2024 ).”
From The genetic architecture of human skin pigmentation: evolution and adaptation across global populations (2026) · cites this paper as Mathieson et al., 2015
In the citing paper
“This allele rose rapidly in frequency in Early Neolithic Europe, largely through migration, and continued to be subject to selection after admixture with local hunter-gatherer populations ( Mathieson et al., 2015 ).”
From The genetic architecture of human skin pigmentation: evolution and adaptation across global populations (2026) · cites this paper as Mathieson et al., 2015
In the citing paper
“A significant contribution came from Neolithic farmer populations of Anatolian ancestry, who introduced the derived light pigmentation-associated SLC24A5 rs1426654-A allele (p.Ala111Thr) into Europe during their northward and westward expansion.”
From The genetic architecture of human skin pigmentation: evolution and adaptation across global populations (2026) · cites this paper as Mathieson et al., 2015
In the citing paper
“In contrast, light pigmentation-associated variation at SLC45A2 , particularly rs16891982 (p.Leu374Phe), was initially present at lower frequency in ancient European populations but underwent strong positive selection during the Holocene, eventually approaching very high frequency in many present-day Europeans ( Mathieson et al., 2015 ; Irving-Pease et al., 2024 ).”
From The genetic architecture of human skin pigmentation: evolution and adaptation across global populations (2026) · cites this paper as Mathieson et al., 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,633
Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease
The International IBD Genetics Consortium (IIBDGC), Jostins, L., Ripke, S., Weersma, R. K., Duerr, R. H., McGovern, D. P., Hui, K. Y., Lee, J. C., Philip Schumm, L., Sharma, Y., et al. (2012) · Nature · doi:10.1038/nature11582 · Cited by 4,722
A second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
Biological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,487
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162
Flagged first, then by citations
Cited by
Sorted by citations
Items 501–600 of 1,001
Andronovo Problem: Studies of Cultural Genesis in the Eurasian Bronze Age
Аркадиевич, Г. С. (2021) · Open Archaeology · doi:10.1515/opar-2020-0123 · Cited by 27
Kivisild, T., Saag, L., Hui, R., Biagini, S. A., Pankratov, V., D’Atanasio, E., Pagani, L., Saag, L., Rootsi, S., Mägi, R., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.07.012 · Cited by 26
Ning, C., Zhang, F., Cao, Y., Qin, L., Hudson, M. J., Gao, S., Ma, P., Li, W., Zhu, S., Li, C., et al. (2021) · iScience · doi:10.1016/j.isci.2021.103352 · Cited by 26
Recently evolved human-specific methylated regions are enriched in schizophrenia signals
Banerjee, N., Polushina, T. V., Bettella, F., Giddaluru, S., Steen, V. M., Andreassen, O. A., & Hellard, S. L. (2018) · BMC Evolutionary Biology · doi:10.1186/s12862-018-1177-2 · Cited by 27
Inference of Population Structure from Time-Series Genotype Data
Joseph, T. A., & Pe’er, I. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.06.002 · Cited by 37
Parallel paleogenomic transects reveal complex genetic history of early European farmersPreprint
Lipson, M., Szécsényi‐Nagy, A., Mallick, S., Pósa, A., Stégmár, B., Keerl, V., Rohland, N., Stewardson, K., Ferry, M., Michel, M., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/114488 · Cited by 28
Self-citationInland-coastal bifurcation of southern East Asians revealed by Hmong-Mien genomic historyPreprint
Xia, Z., Yan, S. L., Wang, C., Zheng, H.-X., Zhang, F., Liu, Y.-C., Yu, G., Yu, B.-X., Shu, L.-L., & Li, J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/730903 · Cited by 24
Whole-Genome Capture of Ancient DNA Using Homemade Baits
Fortes, G. G., & Paijmans, J. L. A. (2019) · Methods in molecular biology · doi:10.1007/978-1-4939-9176-1_11 · Cited by 29
Sergeant, S., Hallmark, B., Mathias, R. A., Mustin, T., Ivester, P., Bohannon, M. L., Ruczinski, I., Johnstone, L. M., Seeds, M. C., & Chilton, F. H. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa023 · Cited by 26
Northern gene flow into southeastern East Asians inferred from genome‐wide array genotyping
He, G., Li, Y., Zou, X., Yeh, H., Tang, R., Wang, P., Bai, J., Yang, X., Wang, Z., Guo, J., et al. (2022) · Journal of Systematics and Evolution · doi:10.1111/jse.12826 · Cited by 23
Nyerki, E., Kalmár, T., Schütz, O., Lima, R. M., Neparáczki, E., Tőrők, T., & Maróti, Z. (2023) · Genome biology · doi:10.1186/s13059-023-02882-4 · Cited by 33
The Genomic Health of Ancient Hominins
Berens, A. J., Cooper, T. L., & Lachance, J. (2017) · Human Biology · doi:10.13110/humanbiology.89.1.01 · Cited by 27
Biogeographic Ancestry, Cognitive Ability and Socioeconomic Outcomes
Kirkegaard, E., Woodley of Menie, M., Williams, R., Fuerst, J., & Meisenberg, G. (2019) · Psych · doi:10.3390/psych1010001 · Cited by 25
Stolarek, I., Juras, A., Handschuh, L., Marcinkowska, M., Philips, A., Zeńczak, M., Dębski, A., Kóčka-Krenz, H., Piontek, J., Kozłowski, P., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-20705-6 · Cited by 25
Krause, J., & Pääbo, S. (2016) · Genetics · doi:10.1534/genetics.116.187856 · Cited by 25
Self-citationAncient Yersinia pestis and Salmonella enterica genomes from Bronze Age Crete
Neumann, G. U., Skourtanioti, E., Burri, M., Nelson, E. A., Michel, M., Hiss, A. N., McGeorge, P. J. P., Betancourt, P. P., Spyrou, M. A., Krause, J., et al. (2022) · Current Biology · doi:10.1016/j.cub.2022.06.094 · Cited by 30
Self-citationFine-scale sampling uncovers the complexity of migrations in 5th–6th century Pannonia
Vyas, D. N., Koncz, I., Modi, A., Mende, B. G., Tian, Y., Francalacci, P., Lari, M., Vai, S., Straub, P., Gallina, Z., et al. (2023) · Current Biology · doi:10.1016/j.cub.2023.07.063 · Cited by 27
Unveiling recent and ongoing adaptive selection in human populations
Gao, Z. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002469 · Cited by 12
Nikitin, A. G., Potekhina, I. D., Rohland, N., Mallick, S., Reich, D., & Lillie, M. C. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172952 · Cited by 24
Self-citationAssessing the importance of cultural diffusion in the Bantu spread into southeastern Africa
Isern, N., & Fort, J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0215573 · Cited by 25
Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution?
Irving-Pease, E. K., Muktupavela, R., Dannemann, M., & Racimo, F. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.703541 · Cited by 27
Failure to replicate a genetic signal for sex bias in the steppe migration into central Europe
Lazaridis, I., & Reich, D. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1704308114 · Cited by 32
Self-citationPaleogenomics of the prehistory of Europe: human migrations, domestication and disease
Serrano, J. G., Ordóñez, A. C., & Fregel, R. (2021) · Annals of Human Biology · doi:10.1080/03014460.2021.1942205 · Cited by 23
Balanovsky, O. P., Chukhryaeva, M., Владимирович, З. В., Urasin, V., Zhabagin, M. K., Hovhannisyan, A., Agdzhoyan, A., Dibirova, K., Кузнецова, М. А., Михайлович, К. С., et al. (2017) · Human Genetics · doi:10.1007/s00439-017-1770-2 · Cited by 26
Learning the properties of adaptive regions with functional data analysis
Mughal, M. R., Koch, H., Huang, J., Chiaromonte, F., & DeGiorgio, M. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008896 · Cited by 24
Advancing and refining archaeological dental calculus research using multiomic frameworks
Wright, S., Dobney, K. M., & Weyrich, L. S. (2021) · STAR Science & Technology of Archaeological Research · doi:10.1080/20548923.2021.1882122 · Cited by 26
Ingman, T., Eisenmann, S., Skourtanioti, E., Akar, M., Ilgner, J., Gnecchi‐Ruscone, G. A., le Roux, P., Shafiq, R., Neumann, G. U., Keller, M., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0241883 · Cited by 24
Self-citationClarifying the causes of consistent and inconsistent findings in genetics
Dattani, S., Howard, D. M., Lewis, C. M., & Sham, P. C. (2022) · Genetic Epidemiology · doi:10.1002/gepi.22459 · Cited by 29
Ibrahim, J., Brumfeld, V., Addadi, Y., Rubin, S., Weiner, S., & Boaretto, E. (2022) · PLoS ONE · doi:10.1371/journal.pone.0269348 · Cited by 30
Nagashima, H., & Yamaoka, Y. (2019) · Current topics in microbiology and immunology · doi:10.1007/978-3-030-15138-6_6 · Cited by 25
A genetic perspective on Longobard-Era migrations
Vai, S., Brunelli, A., Modi, A., Tassi, F., Vergata, C., Pilli, E., Lari, M., Susca, R. R., Giostra, C., Baricco, L. P., et al. (2019) · European Journal of Human Genetics · doi:10.1038/s41431-018-0319-8 · Cited by 25
Ancestry-driven metabolite variation provides insights into disease states in admixed populations
Reynolds, K. M., Horimoto, A. R. V. R., Lin, B. M., Zhang, Y., Kurniansyah, N., Yu, B., Boerwinkle, E., Qi, Q., Kaplan, R. C., Daviglus, M. L., et al. (2023) · Genome Medicine · doi:10.1186/s13073-023-01209-z · Cited by 23
Kinship practices at the early bronze age site of Leubingen in Central Germany
Penske, S., Küßner, M., Rohrlach, A. B., Knipper, C., Nováček, J., Childebayeva, A., Krause, J., & Haak, W. (2024) · Scientific Reports · doi:10.1038/s41598-024-54462-6 · Cited by 24
Self-citationAncient DNA from the Green Sahara reveals ancestral North African lineage
Salem, N., van de Loosdrecht, M. S., Sümer, A. P., Vai, S., Hübner, A., Peter, B. M., Bianco, R. A., Lari, M., Modi, A., Al-Faloos, M. F. M., et al. (2025) · Nature · doi:10.1038/s41586-025-08793-7 · Cited by 31
Self-citationThe genomic history of East Asian Middle Neolithic millet- and rice-agricultural populations
Xiong, J., Xu, Y., Chen, G., Yang, L., Zhou, Y., Pan, Y., Wang, Z., Bai, J., Zhang, B., Dong, G., et al. (2025) · Cell Genomics · doi:10.1016/j.xgen.2025.100976 · Cited by 23
Kinship Determination in Archeological Contexts Through DNA Analysis
Vai, S., Amorim, C. E. G., Lari, M., & Caramelli, D. (2020) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2020.00083 · Cited by 26
Zavala, E. I., Aximu‐Petri, A., Richter, J., Nickel, B., Vernot, B., & Meyer, M. (2022) · Molecular Ecology Resources · doi:10.1111/1755-0998.13607 · Cited by 23
Ancient Maltese genomes and the genetic geography of Neolithic Europe
Ariano, B., Mattiangeli, V., Breslin, E. M., Parkinson, E. W., McLaughlin, R., Thompson, J. E., Power, R. K., Stock, J. T., Mercieca‐Spiteri, B., Stoddart, S., et al. (2022) · Current Biology · doi:10.1016/j.cub.2022.04.069 · Cited by 24
Lineage-specific positive selection on ACE2 contributes to the genetic susceptibility of COVID-19
Pan, Y., Liu, P., Wang, F., Wu, P., Cheng, F., Jin, X., & Xu, S. (2022) · National Science Review · doi:10.1093/nsr/nwac118 · Cited by 21
Hunter-gatherer admixture facilitated natural selection in Neolithic European farmers
Davy, T., Ju, D., Mathieson, I., & Skoglund, P. (2023) · Current Biology · doi:10.1016/j.cub.2023.02.049 · Cited by 22
Self-citationThe genetic legacy of African Americans from Catoctin Furnace
Harney, É., Micheletti, S. J., Bruwelheide, K. S., Freyman, W. A., Bryc, K., Akbari, A., Jewett, E. M., Comer, E., Gates, H. L., Heywood, L. M., et al. (2023) · Science · doi:10.1126/science.ade4995 · Cited by 23
Self-citationAncient Human Migration after Out-of-Africa
Shriner, D., Ayele, F. T., Adeyemo, A., & Rotimi, C. N. (2016) · Scientific Reports · doi:10.1038/srep26565 · Cited by 23
Heraclides, A., Bashiardes, E., Fernández‐Domínguez, E., Bertoncini, S., Chimonas, M., Christofi, V., King, J. L., Budowle, B., Manoli, P., & Cariolou, M. A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0179474 · Cited by 25
How well do we understand the basis of classic selective sweeps in humans?
Szpak, M., Xue, Y., Ayub, Q., & Tyler‐Smith, C. (2019) · FEBS Letters · doi:10.1002/1873-3468.13447 · Cited by 22
Complex Phenotypes: Mechanisms Underlying Variation in Human Stature
Muthuirulan, P., & Capellini, T. D. (2019) · Current Osteoporosis Reports · doi:10.1007/s11914-019-00527-9 · Cited by 24
Immel, A., Țerna, S., Simalcsik, A., Susat, J., Šarov, O., Sîrbu, G., Hofmann, R., Müller, J., Nebel, A., & Krause‐Kyora, B. (2020) · Scientific Reports · doi:10.1038/s41598-020-61190-0 · Cited by 23
Dubé, J.-Y., Fava, V. M., Schurr, E., & Behr, M. A. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.714808 · Cited by 23
The genomic formation of First American ancestors in East and Northeast Asia
Ning, C., Fernandes, D., Changmai, P., Flegontova, O., Yüncü, E., Maier, R., Altınışık, N. E., Kassian, A. S., Krause, J., Lalueza-Fox, C., et al. (2020) · doi:10.1101/2020.10.12.336628 · Cited by 19
Self-citationInsufficient evidence for natural selection associated with the Black Death
Barton, A. R., Santander, C. G., Skoglund, P., Moltke, I., Reich, D., & Mathieson, I. (2025) · Nature · doi:10.1038/s41586-024-08496-5 · Cited by 23
Self-citationManco, L., Albuquerque, J., Sousa, M. F., Martiniano, R., de Oliveira, R. C., Marques, S. L., Gomes, V., Amorim, A., Álvarez, L., & Prata, M. J. (2017) · American Journal of Human Biology · doi:10.1002/ajhb.23082 · Cited by 21
A model for brain life history evolution
González-Forero, M., Faulwasser, T., & Lehmann, L. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005380 · Cited by 21
Heianza, Y., Sun, D., Ma, W., Zheng, Y., Champagne, C. M., Bray, G. A., Sacks, F. M., & Qi, L. (2018) · International Journal of Obesity · doi:10.1038/s41366-018-0046-9 · Cited by 22
Detecting Signatures of Positive Selection along Defined Branches of a Population Tree Using LSD
Librado, P., & Orlando, L. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy053 · Cited by 28
Fort, J., Pareta, M. M., & Sørensen, L. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2018.0597 · Cited by 21
Yelmen, B., Mondal, M., Marnetto, D., Pathak, A. K., Montinaro, F., Romero, I. G., Kivisild, T., Metspalu, M., & Pagani, L. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz037 · Cited by 23
Assessing the Relationship of Ancient and Modern Populations
Schraiber, J. G. (2017) · Genetics · doi:10.1534/genetics.117.300448 · Cited by 22
Reading tea leaves? Polygenic scores and differences in traits among groupsPreprint
Coop, G. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1909.00892 · Cited by 30
Ancient DNA reveals a two-clanned matrilineal community in Neolithic China
Wang, J., Yan, S. L., Li, Z., Zan, J., Zhao, Y., Zhao, J. W., Chen, K., Wang, X., Ji, T., Zhang, C., et al. (2025) · Nature · doi:10.1038/s41586-025-09103-x · Cited by 22
Ancestral genomic contributions to complex traits in contemporary Europeans
Marnetto, D., Pankratov, V., Mondal, M., Montinaro, F., Pärna, K., Vallini, L., Molinaro, L., Saag, L., Loog, L., Montagnese, S., et al. (2022) · Current Biology · doi:10.1016/j.cub.2022.01.046 · Cited by 20
Schaschl, H., Göllner, T., & Morris, D. L. (2022) · Scientific Reports · doi:10.1038/s41598-022-08588-0 · Cited by 21
Wang, X., Skourtanioti, E., Benz, M., Gresky, J., Ilgner, J., Lucas, M., Morsch, M., Peters, J., Pöllath, N., Ringbauer, H., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2210611120 · Cited by 25
Self-citationGerber, D., Szeifert, B., Székely, O., Egyed, B., Gyuris, B., Giblin, J. I., Horváth, A., Köhler, K., Kulcsár, G., Kustár, Á., et al. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad182 · Cited by 30
Flegontova, O., Işıldak, U., Yüncü, E., Williams, M. P., Huber, C. D., Kočí, J., Vyazov, L. A., Changmai, P., & Flegontov, P. (2025) · Genetics · doi:10.1093/genetics/iyaf047 · Cited by 23
Evidence for Very Recent Positive Selection in Mongolians
Nakayama, K., Ohashi, J., Watanabe, K., Munkhtulga, L., & Iwamoto, S. (2017) · Molecular Biology and Evolution · doi:10.1093/molbev/msx138 · Cited by 21
He, Z., Dai, X., Beaumont, M., & Yu, F. (2020) · Genetics · doi:10.1534/genetics.120.303463 · Cited by 22
Tracing the Evolution of Human Immunity Through Ancient DNA
Patin, É., & Quintana‐Murci, L. (2024) · Annual Review of Immunology · doi:10.1146/annurev-immunol-082323-024638 · Cited by 21
Heianza, Y., Zhou, T., Yuhang, C., Huang, T., Willett, W. C., Hu, F. B., Bray, G. A., Sacks, F. M., & Qi, L. (2020) · Diabetes · doi:10.2337/db19-1257 · Cited by 20
Through 40,000 years of human presence in Southern Europe: the Italian case study
Aneli, S., Caldon, M., Saupe, T., Montinaro, F., & Pagani, L. (2021) · Human Genetics · doi:10.1007/s00439-021-02328-6 · Cited by 23
Combining ancient DNA and radiocarbon dating data to increase chronological accuracy
Sedig, J. W., Olalde, Í., Patterson, N. J., Harney, É., & Reich, D. (2021) · Journal of Archaeological Science · doi:10.1016/j.jas.2021.105452 · Cited by 21
Self-citationGenomes from Verteba cave suggest diversity within the Trypillians in Ukraine
Gelabert, P., Schmidt, R. W., Fernandes, D., Karsten, J., Harper, T. K., Madden, G., Ledogar, S. H., Sokhatsky, M., Oota, H., Kennett, D. J., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-11117-8 · Cited by 19
Self-citationScorrano, G., Viva, S., Pinotti, T., Fabbri, P. F., Rickards, O., & Macciardi, F. M. (2022) · Scientific Reports · doi:10.1038/s41598-022-10899-1 · Cited by 25
Marsh, W. A., Brace, S., & Barnes, I. (2023) · BMC Genomics · doi:10.1186/s12864-023-09198-4 · Cited by 20
Genetic continuity and change among the Indigenous peoples of California
Nakatsuka, N. J., Holguin, B., Sedig, J. W., Langenwalter, P. E., Carpenter, J. P., Culleton, B. J., García-Moreno, C., Harper, T. K., Martin, D. L., Ramírez, J. M., et al. (2023) · Nature · doi:10.1038/s41586-023-06771-5 · Cited by 20
Self-citationMobile Landscapes and Their Enduring Places
David, B., Delannoy, J., & Birkett-Rees, J. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009181594
Ancient genome of the Chinese Emperor Wu of Northern Zhou
Du, P., Zhu, K., Qiao, H., Zhang, J., Meng, H., Huang, Z., Yu, Y., Xie, S., Allen, E., Xiong, J., et al. (2024) · Current Biology · doi:10.1016/j.cub.2024.02.059 · Cited by 20
Ancient genomes reveal insights into ritual life at Chichén Itzá
Barquera, R., Chávez, O. D. C., Nägele, K., Pérez-Ramallo, P., Hernández-Zaragoza, D. I., Szolek, A., Rohrlach, A. B., Librado, P., Childebayeva, A., Bianco, R. A., et al. (2024) · Nature · doi:10.1038/s41586-024-07509-7 · Cited by 20
Self-citationZhang, C., Gao, Y., Liu, J., Xue, Z., Lü, Y., Deng, L., Tian, L., Feng, Q., & Xu, S. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1032 · Cited by 20
Genetic kinship and admixture in Iron Age Scytho-Siberians
Mary, L., Zvénigorosky, V., Kovalev, A., Gonzalez, A., Fausser, J., Jagorel, F., Kilunovskaya, M. E., Semenov, V., Crubézy, É., Ludes, B., et al. (2019) · Human Genetics · doi:10.1007/s00439-019-02002-y · Cited by 23
Esposito, U., Das, R., Syed, S., Pirooznia, M., & Elhaik, E. (2018) · Genes · doi:10.3390/genes9120625 · Cited by 19
Kamjan, S., Gillis, R. E., Çakırlar, C., & Raemaekers, D. C. M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240464 · Cited by 21
Performance and automation of ancient DNA capture with RNA hyRAD probes
Suchan, T., Kusliy, M. A., Khan, N., Chauvey, L., Tonasso‐Calvière, L., Schiavinato, S., Southon, J. R., Keller, M., Kitagawa, K., Krause, J., et al. (2021) · Molecular Ecology Resources · doi:10.1111/1755-0998.13518 · Cited by 26
Self-citationFischer, C.-É., Pemonge, M., Ducoussau, I., Arzelier, A., Rivollat, M., Santos, F., Barrand-Emam, H., Bertaud, A., Beylier, A., Ciesielski, E., et al. (2022) · iScience · doi:10.1016/j.isci.2022.104094 · Cited by 26
Goldberg, A., Günther, T., Rosenberg, N. A., & Jakobsson, M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1704442114 · Cited by 23
Neolithic animal domestication as seen from ancient DNA
Scheu, A. (2017) · Quaternary International · doi:10.1016/j.quaint.2017.02.009 · Cited by 21
Charlton, S., Booth, T. J., & Barnes, I. (2019) · World Archaeology · doi:10.1080/00438243.2019.1694062 · Cited by 21
Arzelier, A., Rivollat, M., Belvalet, H. D., Pemonge, M., Binder, D., Convertini, F., Duday, H., Gandelin, M., Guilaine, J., Haak, W., et al. (2022) · iScience · doi:10.1016/j.isci.2022.105387 · Cited by 22
Self-citationHeianza, Y., Xue, Q., Rood, J., Bray, G. A., Sacks, F. M., & Qi, L. (2022) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2022.10.001 · Cited by 21
The genetic assimilation in language borrowing inferred from Jing People
Huang, X., Zhou, Q.-H., Bin, X., Lai, S., Lin, C., Hu, R., Xiao, J., Luo, D., Li, Y., Wei, L., et al. (2018) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23449 · Cited by 18
Stern, A. J., & Nielsen, R. (2019) · Wiley eBooks · doi:10.1002/9781119487845.ch14 · Cited by 18
North Pontic crossroads: Mobility in Ukraine from the Bronze Age to the early modern period
Saag, L., Utevska, O., Zadnikov, S., Shramko, I., Horbenko, K., Bandrivskyi, M., Pavliv, D., Викторович, Б. И., Grechko, D. S., Окатенко, В., et al. (2025) · Science Advances · doi:10.1126/sciadv.adr0695 · Cited by 21
Palaeogenomics: Mitogenomes and Migrations in Europe’s Past
Richards, M. B., Soares, P. A., & Torroni, A. (2016) · Current Biology · doi:10.1016/j.cub.2016.01.044 · Cited by 18
Modeling SNP array ascertainment with Approximate Bayesian Computation for demographic inference
Quinto-Cortés, C. D., Woerner, A. E., Watkins, J. C., & Hammer, M. F. (2018) · Scientific Reports · doi:10.1038/s41598-018-28539-y · Cited by 19
Sarno, S., Petrilli, R., Abondio, P., Giovanni, A. D., Boattini, A., Sazzini, M., Fanti, S. D., Cilli, E., Ciani, G., Gentilini, D., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-82591-9 · Cited by 18
Maniatis, Y., & Adaktylou, F. (2021) · Radiocarbon · doi:10.1017/rdc.2021.26 · Cited by 17
Benítez‐Burraco, A., Chekalin, E., Bruskin, S. A., Tatarinova, T. V., & Morozova, I. (2021) · Annals of Human Biology · doi:10.1080/03014460.2021.1936634 · Cited by 18
Nutrigenomics in the context of evolution
Carlberg, C. (2023) · Redox Biology · doi:10.1016/j.redox.2023.102656 · Cited by 19
Ancient DNA as a tool for medical research
Kerner, G., Choin, J., & Quintana‐Murci, L. (2023) · Nature Medicine · doi:10.1038/s41591-023-02244-4 · Cited by 21
Improving the extraction of ancient Yersinia pestis genomes from the dental pulp
Clavel, P., Louis, L., Sarkissian, C. S. I. D., Thèves, C., Gillet, C., Chauvey, L., Tressières, G., Schiavinato, S., Tonasso‐Calvière, L., Telmon, N., et al. (2023) · iScience · doi:10.1016/j.isci.2023.106787 · Cited by 19
Imputed genomes of historical horses provide insights into modern breeding
Todd, E. T., Fromentier, A., Sutcliffe, R., Collin, Y. R. H., Perdereau, A., Aury, J., Eché, C., Bouchez, O., Donnadieu, C., Wincker, P., et al. (2023) · iScience · doi:10.1016/j.isci.2023.107104 · Cited by 22
Genetic Affinities and Adaptation of the South-West Coast Populations of India
Kumar, L., Chowdhari, A., Sequeira, J. J., Mustak, M. S., Banerjee, M., & Kumarasamy Thangaraj, K. (2023) · Genome Biology and Evolution · doi:10.1093/gbe/evad225 · Cited by 17
Metadata
- Authors
- Mathieson, I., Lazaridis, I., Rohland, N., Mallick, S., Patterson, N., Roodenberg, S. A., Harney, E., Stewardson, K., Fernandes, D., Novak, M., Sirak, K., Gamba, C., Jones, E. R., Llamas, B., Dryomov, S., Pickrell, J., Arsuaga, J. L., de Castro, J. M. B., Carbonell, E., Gerritsen, F., Khokhlov, A., Kuznetsov, P., Lozano, M., Meller, H., Mochalov, O., Moiseyev, V., Guerra, M. A. R., Roodenberg, J., Vergès, J. M., Krause, J., Cooper, A., Alt, K. W., Brown, D., Anthony, D., Lalueza-Fox, C., Haak, W., Pinhasi, R., & Reich, D.
- Affiliations
- Harvard University (US)
- Broad Institute (US)
- Howard Hughes Medical Institute (US)
- University College Dublin (IE)
- Trinity College Dublin (IE)
- The University of Adelaide (AU)
- Institute of Molecular and Cell Biology (RU)
- Universidad Complutense de Madrid (ES)
- Institut Català de Paleoecologia Humana i Evolució Social (ES)
- Netherlands Institute in Turkey (TR)
- Peter the Great's Museum of Anthropology and Ethnography (RU)
- Max Planck Institute of Geoanthropology (DE)
- Danube Private University (AT)
- Hartwick College (US)
- Corresponding author
- Mathieson, Iain
- Haak, Wolfgang
- Pinhasi, Ron
- Reich, David
- ORCID
- Mathieson, Iain
- Lazaridis, Iosif
- Rohland, Nadin
- Mallick, Swapan
- Patterson, Nick
- Fernandes, Daniel
- Novak, Mario
- Sirak, Kendra
- Gamba, Cristina
- Jones, Eppie R.
- Llamas, Bastien
- Arsuaga, Juan Luís
- Carbonell, Eudald
- Gerritsen, Fokke
- Khokhlov, Aleksandr
- Kuznetsov, Pavel
- Lozano, Marina
- Meller, Harald
- Moiseyev, Vyacheslav
- Krause, Johannes
- Cooper, Alan
- Alt, Kurt W.
- Brown, Dorcas
- Anthony, David
- Haak, Wolfgang
- Pinhasi, Ron
- Reich, David
- Venue
- Nature
- Published
- 2015-11-23
- Volume
- 528
- Issue
- 7583
- Pages
- 499-503
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4918750
- OpenAlex
- W2177180777
- Semantic Scholar
- fb48d03b320fc6c6aa0188fc169630258225a80b
- Cited by
- 1,515
- References
- 92
- Citations by year
- 2026: 92 · 2025: 169 · 2024: 139 · 2023: 155 · 2022: 153 · 2021: 164 · 2020: 130 · 2019: 131 · 2018: 137 · 2017: 146 · 2016: 87 · 2015: 10
- FWCI
- 87.07
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Nature (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- 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)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- National Science Foundation (1032255)
- Howard Hughes Medical Institute
- Irish Research Council for the Humanities and Social Sciences
- Deutsche Forschungsgemeinschaft (KR 4015/1-1)
- Irish Research Council
- Russian Foundation for Basic Research
- National Institutes of Health (GM100233)
- Australian Research Council (DP130102158)
- National Institute of General Medical Sciences (GM100233, R01GM100233)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Social Sciences › Anthropology › Pleistocene-Era Hominins and Archaeology
- Keywords
- natural selection, ancient DNA, Neolithic farmers, Neolithic Europe, lactase persistence, diet, pigmentation, immunity, height, human evolution
- MeSH terms
- Agriculture, Asia, Body Height, Bone and Bones, Diet, DNA, Europe, Genetics, Population, Haplotypes, Humans, Immunity, Male, Pigmentation, Selection, Genetic, Genome, Human, Sequence Analysis, DNA, Multifactorial Inheritance, History, Ancient
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.
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 ›
Are you an author, or do you see a problem with this page? Request a review
