Lambeck, K., Rouby, H., Purcell, A., Sun, Y. & Sambridge, M. Sea level and global ice volumes from the Last Glacial Maximum to the Holocene. Proc. Natl Acad. Sci. USA 111, 15296–15303 (2014).
Google Scholar
Bortolini, E. et al. Early Alpine occupation backdates westward human migration in Late Glacial Europe. Curr. Biol. 31, 2484–2493.e7 (2021).
Google Scholar
Posth, C. et al. Palaeogenomics of Upper Palaeolithic to Neolithic European hunter-gatherers. Nature 615, 117–126 (2023).
Google Scholar
Lugli, F. et al. Strontium and stable isotope evidence of human mobility strategies across the Last Glacial Maximum in southern Italy. Nat. Ecol. Evol. 3, 905–911 (2019).
Google Scholar
Wren, C. D. & Burke, A. Habitat suitability and the genetic structure of human populations during the Last Glacial Maximum (LGM) in Western Europe. PLoS One https://doi.org/10.1371/journal.pone.0217996 (2019).
Ruiz-Redondo, A. et al. Mid and Late Upper Palaeolithic in the Adriatic Basin: Chronology, transitions and human adaptations to a changing landscape. Quat. Sci. Rev. 276, 107319 (2022).
Google Scholar
Modi, A. et al. Paleogenetic and morphometric analysis of a Mesolithic individual from Grotta d’Oriente: An oldest genetic legacy for the first modern humans in Sicily. Quat. Sci. Rev. 248, 106603 (2020).
Google Scholar
Villalba-Mouco, V. et al. Survival of Late Pleistocene Hunter-Gatherer Ancestry in the Iberian Peninsula. Curr. Biol. 29, 1169–1177.e7 (2019).
Google Scholar
Villalba-Mouco, V. et al. A 23,000-year-old southern Iberian individual links human groups that lived in Western Europe before and after the Last Glacial Maximum. Nat. Ecol. Evol. 7, 597–609 (2023).
Google Scholar
Lugli, F. et al. Tracing the mobility of a Late Epigravettian (~ 13 ka) male infant from Grotte di Pradis (Northeastern Italian Prealps) at high-temporal resolution. Sci. Rep. https://doi.org/10.1038/s41598-022-12193-6 (2022).
Google Scholar
Nava, A. et al. Early life of Neanderthals. Proc. Natl Acad. Sci. USA 117, 28719–28726 (2020).
Google Scholar
Nava, A. et al. Virtual histological assessment of the prenatal life history and age at death of the Upper Paleolithic fetus from Ostuni (Italy). Sci. Rep. 7, 1–10 (2017).
Google Scholar
Teschler-Nicola, M. et al. Ancient DNA reveals monozygotic newborn twins from the Upper Palaeolithic. Commun. Biol. 3, 1–11 (2020).
Google Scholar
Calattini, M. Scoperta di una sepoltura paleolitica a Grotta delle Mura (BA). Rassegna di archeologia: preistorica e protostorica 37–45 https://doi.org/10.1400/248076 (2002).
Stloukal, M. & Hanakova, H. Die Longe der langskonochen altslavischer Bevolkerungen unter besonderer Bercksichtigung von Wachstumsfragen. Homo 29, 53–69 (1978).
AlQahtani, S. J., Hector, M. P. & Liversidge, H. M. Brief communication: The London atlas of human tooth development and eruption. Am. J. Phys. Anthropol. 142, 481–490 (2010).
Google Scholar
Bronk Ramsey, C. Bayesian analysis of radiocarbon dates. Radiocarbon 51, 337–360 (2009).
Google Scholar
Reid, D. J. & Dean, M. C. Variation in modern human enamel formation times. J. Hum. Evol. 50, 329–346 (2006).
Google Scholar
Hillson, S. Dental Anthropology (Cambridge University Press, 1996).
Molnar, S. Human tooth wear, tooth function and cultural variability. Am. J. Phys. Anthropol. 34, 175–189 (1971).
Google Scholar
Hutchinson, D. L. & Spencer Larsen, C. Determination of Stress Episode Duration from Linear Enamel Hypoplasias: A Case Study from St. Catherines Island, Georgia. Hum. Biol. 60, 93–110 (1988).
Google Scholar
Moorrees, C. F. A., Fanning, E. A. & Hunt, E. E. Formation and resorption of three deciduous teeth in children. Am. J. Phys. Anthropol. 21, 205–213 (1963).
Google Scholar
Sabel, N. et al. Neonatal lines in the enamel of primary teeth—A morphological and scanning electron microscopic investigation. Arch. Oral. Biol. 53, 954–963 (2008).
Google Scholar
Nava, A., Frayer, D. W. & Bondioli, L. Longitudinal analysis of the microscopic dental enamel defects of children in the Imperial Roman community of Portus Romae (necropolis of Isola Sacra, 2nd to 4th century CE, Italy). J. Archaeol. Sci. Rep. 23, 406–415 (2019).
Reid, D. J., Beynon, A. D. & Ramirez Rozzi, F. V. Histological reconstruction of dental development in four individuals from a medieval site in Picardie, France. J. Hum. Evol. 35, 463–477 (1998).
Google Scholar
Nava, A. et al. New regression formula to estimate the prenatal crown formation time of human deciduous central incisors derived from a Roman Imperial sample (Velia, Salerno, Italy, I-II cent. CE). PLoS One 12, e0180104 (2017).
Google Scholar
Mahoney, P. Incremental enamel development in modern human deciduous anterior teeth. Am. J. Phys. Anthropol. 147, 637–651 (2012).
Google Scholar
Dean, C. Extension rates and growth in tooth height of modern human and fossil hominin canines and molars. Front. Oral Biol. 13, 68–73 (2009).
Mahoney, P. Dental fast track: Prenatal enamel growth, incisor eruption, and weaning in human infants. Am. J. Phys. Anthropol. 156, 407–421 (2015).
Google Scholar
Guatelli-Steinberg, D., Floyd, B. A., Dean, M. C. & Reid, D. J. Enamel extension rate patterns in modern human teeth: Two approaches designed to establish an integrated comparative context for fossil primates. J. Hum. Evol. 63, 475–486 (2012).
Google Scholar
Ortiz, A., Skinner, M. M., Bailey, S. E. & Hublin, J. J. Carabelli’s trait revisited: An examination of mesiolingual features at the enamel-dentine junction and enamel surface of Pan and Homo sapiens upper molars. J. Hum. Evol. 63, 586–596 (2012).
Google Scholar
Moorrees, C. F. A., Fanning, E. A. & Hunt, E. E. Age variation of formation stages for ten permanent teeth. J. Dent. Res. 42, 1490–1502 (1963).
Google Scholar
Mahoney, P. Intraspecific variation in M1 enamel development in modern humans: implications for human evolution. J. Hum. Evol. 55, 131–147 (2008).
Google Scholar
Aris, C. Enamel growth rate variation of inner, mid, and outer enamel regions between select permanent tooth types across five temporally distinct British samples. Arch Oral Biol 137, (105394, 2022).
Antoine, D., Hillson, S. & Dean, M. C. The developmental clock of dental enamel: A test for the periodicity of prism cross-striations in modern humans and an evaluation of the most likely sources of error in histological studies of this kind. J. Anat. 214, 45–55 (2009).
Google Scholar
Sawyer, S., Krause, J., Guschanski, K., Savolainen, V. & Pääbo, S. Temporal patterns of nucleotide misincorporations and DNA fragmentation in ancient DNA. PLoS One 7, (e34131, 2012).
Jones, E. R. et al. Upper Palaeolithic genomes reveal deep roots of modern Eurasians. Nat. Commun. 6, 1–8 (2015).
Google Scholar
Fu, Q. et al. The genetic history of Ice Age Europe. Nature 534, 200–205 (2016).
Google Scholar
Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409–413 (2014).
Google Scholar
Scorrano, G. et al. Bioarchaeological and palaeogenomic portrait of two Pompeians that died during the eruption of Vesuvius in 79 AD. Sci. Rep. 12, 1–12 (2022).
Google Scholar
Catalano, G. et al. A mitogenome sequence of an Equus hydruntinus specimen from Late Quaternary site of San Teodoro Cave (Sicily, Italy). Quat. Sci. Rev. 236, 106280 (2020).
Google Scholar
Antonioli, F. et al. Timing of the emergence of the Europe-Sicily bridge (40-17 cal ka BP) and its implications for the spread of modern humans. Geol. Soc. Spec. Publ. 411, 111–144 (2016).
Google Scholar
Ringbauer, H., Novembre, J. & Steinrücken, M. Parental relatedness through time revealed by runs of homozygosity in ancient DNA. Nat. Commun. 12, 1–11 (2021).
Google Scholar
Prüfer, K. et al. A high-coverage Neandertal genome from Vindija Cave in Croatia. Science 358, 655–658 (2017).
Google Scholar
Petr, M., Pääbo, S., Kelso, J. & Vernot, B. Limits of long-term selection against Neandertal introgression. Proc. Natl Acad. Sci. USA 116, 1639–1644 (2019).
Google Scholar
Moorjani, P., Amorim, C. E. G., Arndt, P. F. & Przeworski, M. Variation in the molecular clock of primates. Proc. Natl Acad. Sci. USA 113, 10607–10612 (2016).
Google Scholar
Fenner, J. N. Cross-cultural estimation of the human generation interval for use in genetics-based population divergence studies. Am. J. Phys. Anthropol. 128, 415–423 (2005).
Google Scholar
Coll Macià, M., Skov, L., Peter, B. M. & Schierup, M. H. Different historical generation intervals in human populations inferred from Neanderthal fragment lengths and mutation signatures. Nat. Commun. 12, 1–11 (2021).
Google Scholar
Cariaso, M. & Lennon, G. SNPedia: A wiki supporting personal genome annotation, interpretationand analysis. Nucleic Acids Res. 40, (D1308-12, 2012).
Sherry, S. T. et al. DbSNP: The NCBI database of genetic variation. Nucleic Acids Res. 29, 308–311 (2001).
Google Scholar
Chaitanya, L. et al. The HIrisPlex-S system for eye, hair and skin colour prediction from DNA: Introduction and forensic developmental validation. Forensic. Sci. Int. Genet. 35, 123–135 (2018).
Google Scholar
Allentoft, M. E. et al. Population Genomics of Bronze Age Eurasia. Nature 522, 167–172 (2015).
Google Scholar
Christiaans, I. et al. Founder mutations in hypertrophic cardiomyopathy patients in the Netherlands. Neth. Heart J. 18, 254 (2010).
Richard, P. et al. Hypertrophic Cardiomyopathy. Circulation 107, 2227–2232 (2003).
Google Scholar
Tompkins, R. L. Human population variability in relative dental development. Am. J. Phys. Anthropol. 99, 79–102 (1996).
Google Scholar
Hodgkins, J. et al. An infant burial from Arma Veirana in northwestern Italy provides insights into funerary practices and female personhood in early Mesolithic Europe. Sci Rep 8, (23735, 2021).
Brenner, B., Seebohm, B., Tripathi, S., Montag, J. & Kraft, T. Familial hypertrophic cardiomyopathy: Functional variance among individual cardiomyocytes as a trigger of fhc-phenotype development. Front. Physiol. 5, (392, 2014).
Bagnall, R. D. et al. A Prospective Study of Sudden Cardiac Death among Children and Young Adults. N. Engl. J. Med. 374, 2441–2452 (2016).
Google Scholar
Olalde, I. et al. Derived immune and ancestral pigmentation alleles in a 7,000-year-old Mesolithic European. Nature 507, 225–228 (2014).
Google Scholar
Günther, T. et al. Population genomics of Mesolithic Scandinavia: Investigating early postglacial migration routes and high-latitude adaptation. PLoS Biol. 16, e2003703 (2018).
Google Scholar
Lévi-Strauss, C. Les Structures Élémentaires de La Parenté (Mouton de Gruyter, 1967).
Bittles, A. H. Consanguinity, genetic drift, and genetic diseases in populations with reduced numbers of founders. in Vogel and Motulsky’s Human Genetics: Problems and Approaches (Fourth Edition) 507–528 (Springer-Verlag, 2010). https://doi.org/10.1007/978-3-540-37654-5_19.
Ceballos, F. C. et al. Human inbreeding has decreased in time through the Holocene. Curr. Biol. 31, 3925–3934.e8 (2021).
Google Scholar
Palma di Cesnola, A. Il Paleolitico Superiore in Italia: Introduzione (Allo Studio, 1993).
Catalano, G. et al. Late Upper Palaeolithic hunter-gatherers in the Central Mediterranean: New archaeological and genetic data from the Late Epigravettian burial Oriente C (Favignana, Sicily). Quat. Int. 537, 24–32 (2020).
Google Scholar
Modi, A. et al. More data on ancient human mitogenome variability in Italy: new mitochondrial genome sequences from three Upper Palaeolithic burials. Ann. Hum. Biol. 48, 213–222 (2021).
Google Scholar
Yu, H. et al. Genomic and dietary discontinuities during the Mesolithic and Neolithic in Sicily. iScience 25, 104244 (2022).
Google Scholar
Fu, Q. et al. A revised timescale for human evolution based on ancient mitochondrial genomes. Curr. Biol. 23, 553–559 (2013).
Google Scholar
Naudinot, N. et al. Between Atlantic and Mediterranean: Changes in technology during the Late Glacial in Western Europe and the climate hypothesis. Quat. Int. 428, 33–49 (2017).
Google Scholar
Boschin, F. et al. The first evidence for Late Pleistocene dogs in Italy. Sci. Rep. 10, 1–14 (2020).
Google Scholar
Šešelj, M. Brief communication: An analysis of dental development in Pleistocene Homo using skeletal growth and chronological age. Am. J. Phys. Anthropol. 163, 531–541 (2017).
Google Scholar
Fewlass, H. et al. Pretreatment and gaseous radiocarbon dating of 40-100 mg archaeological bone. Sci. Rep. 9, 5342 (2019).
Google Scholar
Talamo, S., Fewlass, H., Maria, R. & Jaouen, K. ‘Here we go again’: the inspection of collagen extraction protocols for 14 C dating and palaeodietary analysis. Sci. Technol. Archaeol. Res. 7, 62–77 (2021).
Google Scholar
Longin, R. New method of collagen extraction for radiocarbon dating. Nature 230, 241–242 (1971).
Google Scholar
Brown, T. A., Nelson, D. E., Vogel, J. S. & Southon, J. R. Improved Collagen Extraction by Modified Longin Method. Radiocarbon 30, 171–177 (1988).
Google Scholar
Van Klinken, G. J. Bone collagen quality indicators for palaeodietary and radiocarbon measurements. J. Archaeol. Sci. 26, 687–695 (1999).
Google Scholar
Wacker, L., Němec, M. & Bourquin, J. A revolutionary graphitisation system: Fully automated, compact and simple. Nucl. Instrum. Methods Phys. Res B 268, 931–934 (2010).
Google Scholar
Kromer, B., Lindauer, S., Synal, H. A. & Wacker, L. MAMS – A new AMS facility at the Curt-Engelhorn-Centre for Achaeometry, Mannheim, Germany. Nucl. Instrum. Methods Phys. Res. B 294, 11–13 (2013).
Google Scholar
Reimer, P. J. et al. The IntCal20 Northern Hemisphere Radiocarbon Age Calibration Curve (0-55 cal kBP). Radiocarbon 62, 725–757 (2020).
Google Scholar
Birch, W. & Dean, M. C. A method of calculating human deciduous crown formation times and of estimating the chronological ages of stressful events occurring during deciduous enamel formation. J. Forensic Leg. Med. 22, 127–144 (2014).
Google Scholar
Schindelin, J. et al. Fiji: An open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).
Müller, W. et al. Enamel mineralization and compositional time-resolution in human teeth evaluated via histologically-defined LA-ICPMS profiles. Geochim. Cosmochim. Acta 255, 105–126 (2019).
Google Scholar
Müller, W. & Anczkiewicz, R. Accuracy of laser-ablation (LA)-MC-ICPMS Sr isotope analysis of (bio)apatite-a problem reassessed. J. Anal. Spectrom. 31, 259–269 (2016).
Google Scholar
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2023).
Cleveland, W. S., Grosse, E. & Shyu, W. M. Local Regression Models. in Statistical Models in S (eds. Chambers, J. M. & Hastie, T. J.) (Routledge, 1992). https://doi.org/10.1201/9780203738535-8.
Vazzana, A. et al. High-accuracy methodology for the integrative restoration of archaeological teeth by using reverse engineering techniques and rapid prototyping. J Archaeol Sci Rep 44, (103511, 2022).
Willerslev, E. & Cooper, A. Ancient DNA. Proc. R. Soc. B Biol. Sci. 272, 16 (2005).
Gilbert, M. T. P., Bandelt, H. J., Hofreiter, M. & Barnes, I. Assessing ancient DNA studies. Trends Ecol. Evol. 20, 541–544 (2005).
Google Scholar
Kircher, M., Sawyer, S. & Meyer, M. Double indexing overcomes inaccuracies in multiplex sequencing on the Illumina platform. Nucleic Acids Res. 40, e3 (2012).
Meyer, M. & Kircher, M. Illumina sequencing library preparation for highly multiplexed target capture and sequencing. Cold Spring Harb Protoc. 5, pdb.prot5448 (2010).
Rohland, N., Harney, E., Mallick, S., Nordenfelt, S. & Reich, D. Partial uracil – DNA – glycosylase treatment for screening of ancient DNA. Philos. Trans. R. Soc. B Biol. Sci. 370, 20130624 (2015).
Google Scholar
Maricic, T., Whitten, M. & Pääbo, S. Multiplexed DNA Sequence Capture of Mitochondrial Genomes Using PCR Products. PLoS One 5, e14004 (2010).
Google Scholar
Peltzer, A. et al. EAGER: efficient ancient genome reconstruction. Genome Biol. 17, 60 (2016).
Google Scholar
Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25, 1754–1760 (2009).
Google Scholar
Schiffels, S. GitHub – stschiff/sequenceTools. https://github.com/stschiff/sequenceTools (2020).
Mallick, S. et al. The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes. Sci. Data 11, 1–10 (2024).
Google Scholar
Mallick, S. & Reich, D. The Allen Ancient DNA Resource (AADR): A curated compendium of ancient human genomes. David Reich Lab Dataverse, V8 https://doi.org/10.7910/DVN/FFIDCW (2023).
Prüfer, K. et al. A genome sequence from a modern human skull over 45,000 years old from Zlatý kůň in Czechia. Nat. Ecol. Evol. 5, 820–825 (2021).
Google Scholar
Yu, H. Paleogenomics of Upper Paleolithic to Neolithic European hunter-gatherers. EDMOND, V3 https://doi.org/10.17617/3.Y1KJMF (2022).
Skoglund, P., Storå, J., Götherström, A. & Jakobsson, M. Accurate sex identification of ancient human remains using DNA shotgun sequencing. J. Archaeol. Sci. 40, 4477–4482 (2013).
Google Scholar
Mittnik, A., Wang, C.-C., Svoboda, J. & Krause, J. A Molecular Approach to the Sexing of the Triple Burial at the Upper Paleolithic Site of Dolní Věstonice. PLoS One 11, e0163019 (2016).
Google Scholar
Jónsson, H., Ginolhac, A., Schubert, M., Johnson, P. L. F. & Orlando, L. MapDamage2.0: Fast approximate Bayesian estimates of ancient DNA damage parameters. Bioinformatics 29, 1682–1684 (2013).
Google Scholar
Rasmussen, M. et al. An aboriginal Australian genome reveals separate human dispersals into Asia. Science 334, 94–98 (2011).
Google Scholar
Korneliussen, T. S., Albrechtsen, A. & Nielsen, R. ANGSD: Analysis of Next Generation Sequencing Data. BMC Bioinforma. 15, 356 (2014).
Google Scholar
Furtwängler, A. et al. Ratio of mitochondrial to nuclear DNA affects contamination estimates in ancient DNA analysis. Sci. Rep. 8, 14075 (2018).
Google Scholar
Nakatsuka, N. et al. ContamLD: Estimation of ancient nuclear DNA contamination using breakdown of linkage disequilibrium. Genome Biol. 21, 199 (2020).
Google Scholar
Renaud, G., Slon, V., Duggan, A. T. & Kelso, J. Schmutzi: Estimation of contamination and endogenous mitochondrial consensus calling for ancient DNA. Genome Biol. 16, 224 (2015).
Google Scholar
Weissensteiner, H. et al. HaploGrep 2: mitochondrial haplogroup classification in the era of high-throughput sequencing. Nucleic Acids Res. 44, W58–W63 (2016).
Google Scholar
van Oven, M. PhyloTree Build 17: Growing the human mitochondrial DNA tree. Forensic Sci Int Genet Suppl Ser 5, e392–e394 (2015).
Edgar, R. C. MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 (2004).
Google Scholar
Ingman, M., Kaessmann, H., Pääbo, S. & Gyllensten, U. Mitochondrial genome variation and the origin of modem humans. Nature 408, 708–713 (2000).
Google Scholar
Briggs, A. W. et al. Targeted retrieval and analysis of five Neandertal mtDNA genomes. Science 325, 318–321 (2009).
Google Scholar
Kumar, S., Stecher, G., Li, M., Knyaz, C. & Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms | Molecular Biology and Evolution | Oxford Academic. Mol. Biol. Evol. 35, 1547–1549 (2018).
Google Scholar
Posth, C. et al. Pleistocene mitochondrial genomes suggest a single major dispersal of non-africans and a late glacial population turnover in Europe. Curr. Biol. 26, 827–833 (2016).
Google Scholar
Guindon, S. & Gascuel, O. A Simple, Fast, and Accurate Algorithm to Estimate Large Phylogenies by Maximum Likelihood. Syst. Biol. 52, 696–704 (2003).
Google Scholar
Darriba, D., Taboada, G. L., Doallo, R. & Posada, D. JModelTest 2: More models, new heuristics and parallel computing. Nat. Methods 9, https://doi.org/10.1038/nmeth.2109 (2012).
Suchard, M. A. et al. Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10. Virus Evol. 4, vey016 (2018).
Rambaut, A., Drummond, A. J., Xie, D., Baele, G. & Suchard, M. A. Posterior summarization in Bayesian phylogenetics using Tracer 1.7. Syst. Biol. 67, 901–904 (2018).
Google Scholar
Bouckaert, R. et al. BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis. PLoS Comput Biol 15, e1006650 (2019).
Ralf, A., Montiel González, D., Zhong, K. & Kayser, M. Yleaf: Software for Human Y-Chromosomal Haplogroup Inference from Next-Generation Sequencing Data. Mol. Biol. Evol. 35, 1291–1294 (2018).
Google Scholar
Gamba, C. et al. Genome flux and stasis in a five millennium transect of European prehistory. Nat. Commun. 5, 5257 (2014).
Google Scholar
Mathieson, I. et al. The genomic history of southeastern Europe. Nature 555, 197–203 (2018).
Google Scholar
Raghavan, M. et al. Upper palaeolithic Siberian genome reveals dual ancestry of native Americans. Nature 505, 87–91 (2014).
Google Scholar
Fu, Q. et al. An early modern human from Romania with a recent Neanderthal ancestor. Nature 524, 216–219 (2015).
Google Scholar
Fu, Q. et al. Genome sequence of a 45,000-year-old modern human from western Siberia. Nature 514, 445–449 (2014).
Google Scholar
Sikora, M. et al. Ancient genomes show social and reproductive behavior of early Upper Paleolithic foragers. Science (1979) 358, 659–662 (2017).
Google Scholar
Skoglund, P. et al. Genomic diversity and admixture differs for stone-age Scandinavian foragers and farmers. Science (1979) 344, 747–750 (2014).
Google Scholar
Antonio, M. L. et al. Ancient Rome: A genetic crossroads of Europe and the Mediterranean. Science 366, 708–714 (2019).
Google Scholar
Seguin-Orlando, A. et al. Genomic structure in Europeans dating back at least 36,200 years. Science 346, 1113–1118 (2014).
Google Scholar
González-Fortes, G. et al. Paleogenomic Evidence for Multi-generational Mixing between Neolithic Farmers and Mesolithic Hunter-Gatherers in the Lower Danube Basin. Curr. Biol. 27, 1801–1810.e10 (2017).
Google Scholar
De Barros Damgaard, P. et al. 137 ancient human genomes from across the Eurasian steppes. Nature 557, 369–374 (2018).
Google Scholar
Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499–503 (2015).
Google Scholar
Mittnik, A. et al. The genetic prehistory of the Baltic Sea region. Nat. Commun. 9, 1–11 (2018).
Google Scholar
Jones, E. R. et al. The Neolithic Transition in the Baltic Was Not Driven by Admixture with Early European Farmers. Curr. Biol. 27, 576–582 (2017).
Google Scholar
McKenna, A. et al. The genome analysis toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297–1303 (2010).
Google Scholar
Patterson, N. et al. Ancient admixture in human history. Genetics 192, 1065–1093 (2012).
Google Scholar
Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015).
Lazaridis, I. et al. Genomic insights into the origin of farming in the ancient Near East. Nature 536, 419–424 (2016).
Mafessoni, F. et al. A high-coverage neandertal genome from chagyrskaya cave. Proc. Natl Acad. Sci. USA 117, 15132–15136 (2020).
Google Scholar
Meyer, M. et al. A high-coverage genome sequence from an archaic Denisovan individual. Science 338, 222–226 (2012).
Google Scholar
Sankararaman, S., Patterson, N., Li, H., Pääbo, S. & Reich, D. The Date of Interbreeding between Neandertals and Modern Humans. PLoS Genet. 8, e1002947 (2012).
Google Scholar
Peter, B. M. 100,000 years of gene flow between Neandertals and Denisovans in the Altai mountains. bioRxiv, https://doi.org/10.1101/2020.03.13.990523 (2020).
Auton, A. et al. A global reference for human genetic variation. The 1000 Genomes Project Consortium. Nature 526, 68-74 (2015).
Herrero, J. et al. Ensembl comparative genomics resources. Database 2016, bav096 (2016).
Google Scholar
Hinch, A. G. et al. The landscape of recombination in African Americans. Nature 476, 170–175 (2011).
Montaner, D. SNPediaR: Query data from SNPedia. R package version 1.30.0, https://github.com/genometra/SNPediaR (2024).
Walsh, S. et al. DNA-based eye colour prediction across Europe with the IrisPlex system. Forensic Sci. Int. Genet. 6, 330–340 (2012).
Google Scholar
Walsh, S. et al. Developmental validation of the HIrisPlex system: DNA-based eye and hair colour prediction for forensic and anthropological usage. Forensic Sci. Int. Genet. 9, 150–161 (2014).
Google Scholar
Walsh, S. et al. Global skin colour prediction from DNA. Hum. Genet. 136, 847–863 (2017).
Google Scholar
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