The nature and distribution of political power in Europe during the Neolithic era remains poorly understood1. During this period, many societies began to invest heavily in building monuments, which suggests an increase in social organization. The scale and sophistication of megalithic architecture along the Atlantic seaboard, culminating in the great passage tomb complexes, is particularly impressive2. Although co-operative ideology has often been emphasised as a driver of megalith construction1, the human expenditure required to erect the largest monuments has led some researchers to emphasize hierarchy3—of which the most extreme case is a small elite marshalling the labour of the masses. Here we present evidence that a social stratum of this type was established during the Neolithic period in Ireland. We sampled 44 whole genomes, among which we identify the adult son of a first-degree incestuous union from remains that were discovered within the most elaborate recess of the Newgrange passage tomb. Socially sanctioned matings of this nature are very rare, and are documented almost exclusively among politico-religious elites4—specifically within polygynous and patrilineal royal families that are headed by god-kings5,6. We identify relatives of this individual within two other major complexes of passage tombs 150 km to the west of Newgrange, as well as dietary differences and fine-scale haplotypic structure (which is unprecedented in resolution for a prehistoric population) between passage tomb samples and the larger dataset, which together imply hierarchy. This elite emerged against a backdrop of rapid maritime colonization that displaced a unique Mesolithic isolate population, although we also detected rare Irish hunter-gatherer introgression within the Neolithic population.
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Raw FASTQ and aligned BAM files are available through the European Nucleotide Archive under accession number PRJEB36854. Any other relevant data are available from the corresponding authors upon reasonable request.
Hinz, M., Müller, J. & Wunderlich, M. in Megaliths, Societies, Landscapes: Early Monumentality and Social Differentiation in Neolithic Europe Vol. 1 (eds Hinz, M. et al.) 21–23 (Habelt, 2019).
Cunliffe, B. Facing the Ocean: the Atlantic and its Peoples (Oxford Univ. Press, 2004).
Burenhult, G. Megalithic symbolism in Ireland and Scandinavia in light of new evidence from Carrowmore. Arkeos 6, 49–108 (1999).
Wolf, A. P. Incest Avoidance and the Incest Taboos: Two Aspects of Human Nature (Stanford Univ. Press, 2014).
Goggin, J. M. & Sturtevant, W. P. in Explorations in Cultural Anthropology. Essays in Honour of George Peter Murdock (ed. Goodenough, W. H.) 179–219 (McGraw-Hill, 1964).
van den Berghe, P. L. & Mesher, G. M. Royal incest: a reply to Sturtevant. Am. Ethnol. 8, 187–188 (1981).
Cassidy, L. M. et al. Neolithic and Bronze Age migration to Ireland and establishment of the insular Atlantic genome. Proc. Natl Acad. Sci. USA 113, 368–373 (2016).
Olalde, I. et al. The Beaker phenomenon and the genomic transformation of northwest Europe. Nature 555, 190–196 (2018).
Sánchez-Quinto, F. et al. Megalithic tombs in western and northern Neolithic Europe were linked to a kindred society. Proc. Natl Acad. Sci. USA 116, 9469–9474 (2019).
Schulz Paulsson, B. Radiocarbon dates and Bayesian modeling support maritime diffusion model for megaliths in Europe. Proc. Natl Acad. Sci. USA 116, 3460–3465 (2019).
Brace, S. et al. Ancient genomes indicate population replacement in Early Neolithic Britain. Nat. Ecol. Evol. 3, 765–771 (2019).
Martiniano, R. et al. The population genomics of archaeological transition in west Iberia: investigation of ancient substructure using imputation and haplotype-based methods. PLoS Genet. 13, e1006852 (2017).
Lawson, D. J., Hellenthal, G., Myers, S. & Falush, D. Inference of population structure using dense haplotype data. PLoS Genet. 8, e1002453 (2012).
Lynch, A. Poulnabrone: An Early Neolithic Portal Tomb in Ireland (Stationery Office, 2014).
Alexander, D. H., Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19, 1655–1664 (2009).
O’Kelly, M. J. Newgrange (Thames & Hudson, 1983).
Huebner, S. R. ‘Brother–sister’ marriage in Roman Egypt: a curiosity of humankind or a widespread family strategy? J. Roman Stud. 97, 21–49 (2007).
Kolb, M. J. et al. Monumentality and the rise of religious authority in precontact Hawaiʼi. Curr. Anthropol. 35, 521–547 (1994).
Gates, H. in Inbreeding, Incest, and the Incest Taboo: The State of Knowledge at the Turn of the Century (eds Wolf, A. P. & Durham, W. H.) 139–160 (Stanford Univ. Press, 2005).
Kirch, P. V. How Chiefs Became Kings: Divine Kingship and the Rise of Archaic States in Ancient Hawaiʼi (Univ. California Press, 2010).
Hensey, R. First Light: The Origins of Newgrange (Oxbow Books, 2015).
Hensey, R. in The Oxford Handbook of Light in Archaeology (eds Papadopoulos C. & Moyes H.) (Oxford Univ. Press, 2017).
Carey, J. Time, memory, and the Boyne necropolis. Proc. Harv. Celtic Colloq. 10, 24–36 (1990).
Gwynn, E. The Metrical Dindshenchas. 4. Text, Translation, and Commentary (School of Celtic Studies, Dublin Institute for Advanced Studies, 1991).
Kador, T. et al. Rites of passage: mortuary practice, population dynamics, and chronology at the Carrowkeel passage tomb complex, Co. Sligo, Ireland. Proc. Prehist. Soc. 84, 225–255 (2018).
Lipatov, M., Sanjeev, K., Patro, R. & Veeramah, K. Maximum likelihood estimation of biological relatedness from low coverage sequencing data. Preprint at https://www.biorxiv.org/content/10.1101/023374v1 (2015).
Jones, C. in Megaliths, Societies, Landscapes: Early Monumentality and Social Differentiation in Neolithic Europe Vol. 18 (eds Müller, J. et al.) 979–1000 (Habelt, 2019).
Garrow, D. & Sturt, F. Grey waters bright with Neolithic argonauts? Maritime connections and the Mesolithic–Neolithic transition within the ‘western seaways’ of Britain, c. 5000–3500 BC. Antiquity 85, 59–72 (2011).
Fu, Q. et al. The genetic history of Ice Age Europe. Nature 534, 200–205 (2016).
Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409–413 (2014).
Brooks, A. J., Bradley, S. L., Edwards, R. J. & Goodwyn, N. The palaeogeography of Northwest Europe during the last 20,000 years. J. Maps 7, 573–587 (2011).
Woodman, P. Ireland’s First Settlers: Time and the Mesolithic (Oxbow Books, 2015).
Villalba-Mouco, V. et al. Survival of Late Pleistocene hunter-gatherer ancestry in the Iberian peninsula. Curr. Biol. 29, 1169–1177.e7 (2019).
Rivollat, M., Castex, D., Hauret, L. & Tillier, A.-M. Ancient Down syndrome: an osteological case from Saint-Jean-des-Vignes, northeastern France, from the 5–6th century AD. Int. J. Paleopathol. 7, 8–14 (2014).
Yang, D. Y., Eng, B., Waye, J. S., Dudar, J. C. & Saunders, S. R. Technical note: improved DNA extraction from ancient bones using silica-based spin columns. Am. J. Phys. Anthropol.105, 539–543 (1998).
MacHugh, D. E., Edwards, C. J., Bailey, J. F., Bancroft, D. R. & Bradley, D. G. The extraction and analysis of ancient DNA from bone and teeth: a survey of current methodologies. Anc. Biomol. 3, 81–103 (2000).
Gamba, C. et al. Genome flux and stasis in a five millennium transect of European prehistory. Nat. Commun. 5, 5257 (2014).
Meyer, M. & Kircher, M. Illumina sequencing library preparation for highly multiplexed target capture and sequencing. Cold Spring Harb. Protoc. 2010, db.prot5448 (2010).
Andrews, S. FastQC: a quality control tool for high throughput sequence data. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ (2010).
Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J. 17, 10–12 (2011).
Renaud, G., Stenzel, U. & Kelso, J. leeHom: adaptor trimming and merging for Illumina sequencing reads. Nucleic Acids Res. 42, e141 (2014).
Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25, 1754–1760 (2009).
Li, H. et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).
McKenna, A. et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297–1303 (2010).
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).
Olalde, I. et al. Derived immune and ancestral pigmentation alleles in a 7,000-year-old Mesolithic European. Nature 507, 225–228 (2014).
Skoglund, P. et al. Genomic diversity and admixture differs for Stone-Age Scandinavian foragers and farmers. Science 344, 747–750 (2014).
Allentoft, M. E. et al. Population genomics of Bronze Age Eurasia. Nature 522, 167–172 (2015).
Günther, T. et al. Ancient genomes link early farmers from Atapuerca in Spain to modern-day Basques. Proc. Natl Acad. Sci. USA 112, 11917–11922 (2015).
Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015).
Jones, E. R. et al. Upper Palaeolithic genomes reveal deep roots of modern Eurasians. Nat. Commun. 6, 8912 (2015).
Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499–503 (2015).
Olalde, I. et al. A common genetic origin for early farmers from Mediterranean Cardial and Central European LBK cultures. Mol. Biol. Evol. 32, 3132–3142 (2015).
Broushaki, F. et al. Early Neolithic genomes from the eastern Fertile Crescent. Science 353, 499–503 (2016).
Hofmanová, Z. et al. Early farmers from across Europe directly descended from Neolithic Aegeans. Proc. Natl Acad. Sci. USA 113, 6886–6891 (2016).
Kılınç, G. M. et al. The demographic development of the first farmers in Anatolia. Curr. Biol. 26, 2659–2666 (2016).
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).
Schiffels, S. et al. Iron Age and Anglo-Saxon genomes from East England reveal British migration history. Nat. Commun. 7, 10408 (2016).
Martiniano, R. et al. Genomic signals of migration and continuity in Britain before the Anglo-Saxons. Nat. Commun. 7, 10326 (2016).
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).
Lipson, M. et al. Parallel palaeogenomic transects reveal complex genetic history of early European farmers. Nature 551, 368–372 (2017).
Mathieson, I. et al. The genomic history of southeastern Europe. Nature 555, 197–203 (2018).
Sánchez-Quinto, F. et al. Genomic affinities of two 7,000-year-old Iberian hunter-gatherers. Curr. Biol. 22, 1494–1499 (2012).
Valdiosera, C. et al. Four millennia of Iberian biomolecular prehistory illustrate the impact of prehistoric migrations at the far end of Eurasia. Proc. Natl Acad. Sci. USA 115, 3428–3433 (2018).
Günther, T. et al. Population genomics of Mesolithic Scandinavia: investigating early postglacial migration routes and high-latitude adaptation. PLoS Biol. 16, e2003703 (2018).
Krzewińska, M. et al. Genomic and strontium isotope variation reveal immigration patterns in a Viking age town. Curr. Biol. 28, 2730–2738.e10 (2018).
Krzewińska, M. et al. Ancient genomes suggest the eastern Pontic–Caspian steppe as the source of western Iron Age nomads. Sci. Adv. 4, eaat4457 (2018).
Sikora, M. et al. Ancient genomes show social and reproductive behavior of early Upper Paleolithic foragers. Science 358, 659–662 (2017).
Scheib, C. L. et al. East Anglian early Neolithic monument burial linked to contemporary megaliths. Ann. Hum. Biol. 46, 145–149 (2019).
Saag, L. et al. Extensive farming in Estonia started through a sex-biased migration from the steppe. Curr. Biol. 27, 2185–2193.e6 (2017).
Rodríguez-Varela, R. et al. Genomic analyses of pre-European conquest human remains from the Canary Islands reveal close affinity to modern North Africans. Curr. Biol. 28, 1677–1679 (2018).
Reimer, P. J. et al. IntCal13 and Marine13 radiocarbon age calibration curves 0–50,000 years cal BP. Radiocarbon 55, 1869–1887 (2013).
Eogan, G. Excavations at Knowth Volume 6: The Passage Tomb Archaeology of the Great Mound at Knowth (Royal Irish Academy, 2017).
Hamilton, J. & Hedges, R. E. M. in Gathering Time: Dating the Early Neolithic Enclosures of Southern Britain and Ireland (eds. Whittle, A. et al.) 670–681 (Oxbow Books, 2011).
Hutchison, M., Curtis, N. & Kidd, R. The Knowe of Rowiegar, Rousay, Orkney. Proc. Soc. Antiquar. Scotland 145, 41–89 (2015).
Kador, T., Fibiger, L., Cooney, G. & Fullagar, P. Movement and diet in early Irish prehistory: first evidence from multi-isotope analysis. J. Irish Archaeol. 23, 83–96 (2015).
Schulting, R. in The Origins and Spread of Domestic Animals in Southwest Asia and Europe (eds. Colledge, S. et al.) 313–338 (2013).
Schulting, R. J., Murphy, E., Jones, C. & Warren, G. New dates from the north and a proposed chronology for Irish court tombs. Proc. R. Ir. Acad. C Archaeol. Celt. Stud. Hist. Linguist. Lit. 112C, 1–60 (2012).
Wysocki, M. et al. Dates, diet, and dismemberment: evidence from the Coldrum megalithic monument, Kent. Proc. Prehist. Soc. 79, 61–90 (2013).
Wysocki, M., Bayliss, A. & Whittle, A. serious mortality: the date of the Fussell’s Lodge long barrow. Camb. Archaeol. J. 17, 65–84 (2007).
Whittle, A. et al. Parc le Breos Cwm transepted long cairn, Gower, West Glamorgan: date, contents, and context. Proc. Prehist. Soc. 64, 139–182 (1998).
Whittle, A., Bayliss, A. & Wysocki, M. Once in a lifetime: the date of the Wayland’s Smithy long barrow. Camb. Archaeol. J. 17, 103–121 (2007).
Bayliss, A., Whittle, A. & Wysocki, M. Talking about my generation: the date of the West Kennet long barrow. Camb. Archaeol. J. 17, 85–101 (2007).
Brindley, A. L., Lanting, J. N. & van der Plicht, J. in Duma na nGial: The Mound of the Hostages, Tara (ed. O’Sullivan, M.) 281–296 (Wordwell, 2005).
Schulting, R. J., Chapman, M. & Chapman, E. J. AMS 14C dating and stable isotope (carbon, nitrogen) analysis of an earlier Neolithic human skeletal assemblage from hay wood cave, Mendip, Somerset. Proc. Univ. Bristol Spelaeol. Soc. 26, 9–26 (2013).
Schulting, R. et al. Mesolithic and Neolithic human remains from Foxhole Cave, Gower, South Wales. Antiq. J. 93, 1–23 (2013).
Sheridan, J. A., Schulting, R., Quinnell, H. & Taylor, R. Revisiting a small passage tomb at Broadsands, Devon. Proc. Devon Archaeol. Soc. 66, 1–26 (2008).
Schulting, R. J. & Richards, M. P. Finding the coastal Mesolithic in southwest Britain: AMS dates and stable isotope results on human remains from Caldey Island, South Wales. Antiquity 76, 1011–1025 (2002).
Stevens, R. E., Lightfoot, E., Allen, T. & Hedges, R. E. M. Palaeodiet at Eton College rowing course, Buckinghamshire: isotopic changes in human diet in the Neolithic, Bronze Age, Iron Age and Roman periods throughout the British Isles. Archaeol. Anthropol. Sci. 4, 167–184 (2012).
Chamberlain, A. T. & Witkin, A. V. A Neolithic cairn at Whitwell, Derbyshire. Derbyshire Archaeol. J. 131, 1–131 (2011).
McLaughlin, T. R., Whitehouse, N. J. & Schulting, R. J. The changing face of Neolithic and Bronze Age Ireland: a big data approach to the settlement and burial records. J. World Prehist. 29, 117–153 (2016).
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).
Okonechnikov, K., Conesa, A. & García-Alcalde, F. Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data. Bioinformatics 32, 292–294 (2016).
Vianello, D. et al. HAPLOFIND: a new method for high-throughput mtDNA haplogroup assignment. Hum. Mutat. 34, 1189–1194 (2013).
Browning, S. R. & Browning, B. L. Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering. Am. J. Hum. Genet. 81, 1084–1097 (2007).
Gallego-Llorente, M. et al. The genetics of an early Neolithic pastoralist from the Zagros, Iran. Sci. Rep. 6, 31326 (2016).
The 1000 Genomes Project Consortium et al. A global reference for human genetic variation. Nature 526, 68–74 (2015).
Walsh, S. et al. The HIrisPlex system for simultaneous prediction of hair and eye colour from DNA. Forensic Sci. Int. Genet. 7, 98–115 (2013).
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).
Green, R. E. et al. A draft sequence of the Neandertal genome. Science 328, 710–722 (2010).
Reich, D., Thangaraj, K., Patterson, N., Price, A. L. & Singh, L. Reconstructing Indian population history. Nature 461, 489–494 (2009).
Patterson, N. et al. Ancient admixture in human history. Genetics 192, 1065–1093 (2012).
Patterson, N., Price, A. L. & Reich, D. Population structure and eigenanalysis. PLoS Genet. 2, e190 (2006).
Price, A. L. et al. Principal components analysis corrects for stratification in genome-wide association studies. Nat. Genet. 38, 904–909 (2006).
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2015).
Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2016).
Warnes, G. R. et al. gplots: various R programming tools for plotting data, R package version 3.0.1, http://CRAN.R-project.org/package=gplots (2016).
Becker, R. A., Wilks, A. R., Brownrigg, R., Minka, T. P. & Deckmyn, A. maps: draw geographical maps, R package version 3.1.0. http://CRAN.R-project.org/package=maps (2016).
Becker, R. A., Brownrigg, R. & Wilks, A. R. mapdata: extra map databases, R package version 2.2-6, http://CRAN.R-project.org/package=mapdata (2016).
Wickham, H. Reshaping data with the reshape package. J. Stat. Softw. 21, 1–20 (2007).
Wickham, H., François, R., Henry, L. & Müller, K. dplyr: a grammar of data manipulation, R package version 0.7.6, http://CRAN.R-project.org/package=dplyr (2018).
We thank the National Museum of Ireland, particularly M. Cahill, N. O’Connor, E. Ashe, E. McLoughlin, M. Sikora and M. Seaver for help in the provision of archaeological samples under licence; National Museums NI; M. Mirazón Lahr and the Leverhulme Centre for Human Evolutionary Studies; R. Martiniano for assisting with an initial sample screening; Trinseq for sequencing support; the DJEI/DES/SFI/HEA Irish Centre for High-End Computing (ICHEC) for the provision of computational facilities; and M. Sinding, P. Maisano Delser, K. Daly, R. Hensey, P. Meehan and M. Teasdale for critical reading of the manuscript. This work was funded by the Science Foundation Ireland/Health Research Board/Wellcome Trust Biomedical Research Partnership Investigator Award no. 205072 to D.G.B., ‘Ancient Genomics and the Atlantic Burden’. In the early part of the study, L.M.C. was funded by Irish Research Council Government of Ireland Scholarship Scheme (GOIPG/2013/1219). E.R.J. was supported by the Herchel Smith Postdoctoral Fellowship Fund. Several radiocarbon determinations were funded by an NERC award to T.K. (NF/2016/2/18).
The authors declare no competing interests.
Peer review information Nature thanks Duncan Garrow, Michael Hofreiter and David Reich for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
a, ADMIXTURE plot (K = 14) for ancient Irish and British populations (first row), other ancient Eurasians (second and third rows) and global modern populations (fourth row). For components that reach their maximum in modern populations, the five individuals with highest values were selected for representation. If the majority of these individuals come from a single population the block is labelled as such; otherwise, it is labelled using the general geographic region from which these individuals originate. Three components reach their maximum in ancient populations, and we label these ‘European_HG’ (red), Early_Farmer (orange) and ‘Steppe’ (teal). b, Box plot (Tukey method) showing the distribution of the European_HG component among British and Irish Neolithic shotgun-sequenced individuals (n = 50). c, Normalized haplotypic length contributions, estimated with ChromoPainter, from Early Neolithic populations to later Neolithic and Chalcolithic individuals. The top two donors are outlined in black for each individual. Given the unsupervised nature of the analysis, regional differences in overall haplotypic donation levels should be ignored, as larger populations have more opportunity for within-group painting.
a, ChromoPainter principal component analysis of diverse ancient genomes (n = 149) generated using the output matrix of haplotypic lengths. The colour and shape key for the Irish samples follows Fig. 1. b, fineSTRUCTURE dendrogram derived from the same matrix as in a, with the passage tomb cluster highlighted. Dotted branches are shown at a quarter of their true length.
a, Whole-genome plot of heterozygosity in NG10, revealing extreme runs of homozygosity. b, Nine mating scenarios (coloured lines) that can lead to an inbreeding coefficient of 25%. c, Number and average lengths of homozygous-by-descent (HBD) segments for each of these simulated scenarios (500 iterations) and the same values observed for the NG10 genome. Box plots follow Tukey’s method. Scenarios in the subpanels i and ii best fit the homozygous-by-descent distribution of NG10; ii is less parsimonious than i when anthropological and biological factors are taken into consideration.
Inbreeding coefficients for imputed ancient samples estimated by measuring the proportion of the genome that is homozygous by descent. Box plots follow Tukey’s method. Individuals are binned according to archaeological period. UP-MS, Upper Palaeolithic to Mesolithic (n = 24); EN, Early Neolithic (n = 13); MN-CA, Middle Neolithic to Chalcolithic (n = 69); BA, European Bronze Age (n = 12); IA-MA, Iron Age to Medieval (n = 21); Steppe CA-BA, steppe Chalcolithic to Bronze Age (n = 14). Outliers of note are labelled. The inferred degrees of relatedness between the parents of an individual are marked.
Extended Data Fig. 5 Detecting recent shared ancestry between pairs of British and Irish Neolithic samples.
a, lcMLkin31 kinship coefficients between pairs of Irish and British Neolithic samples, jittered by a height of 0.00018 and width of 0.00036 for visualization. Optimized duplicate tests are linked by dotted lines. Several standalone values are also shown (italics), in which one duplicate did not meet the threshold of overlapping sites (>20,000). The MB6 and car004 pairing (19,850 sites) is shown as a translucent point. An inset is shown for lower values of pi-HAT. Pairs over 5σ from the mean pi-HAT and K0 for subpanel ii (marked with a line) are highlighted using the same colour and shape key as in Fig. 1. Combined symbols are used for inter-site pairs. b, Total haplotypic lengths donated between all pairs (n = 2,162) of British and Irish samples from the ChromoPainter analysis of diverse ancient samples (Extended Data Fig. 2). Outlying pairs (4σ above the mean) are labelled. c, Outgroup f3-statistics measuring shared drift between pairs (n = 2,236) of Irish and British Neolithic samples (>25,000 informative sites). d, Total haplotypic lengths donated between all pairs of ‘passage tomb cluster’ (pink; n = 42) and ‘British–Irish cluster’ (grey; n = 1,190) samples from the ChromoPainter analysis of genomes from the Atlantic seaboard (Fig. 1d, e). Single members from the outlying pairs in b were removed for this analysis. Positions of passage tomb pairs are marked along the x axis, with two outlying pairs from Carrowkeel highlighted.
a, Nitrogen stable-isotope values (an indicator of trophic level) plotted across time for samples from the neighbouring sites of Poulnabrone (blue) and Parknabinnia (yellow). For male samples, the Y chromosome haplogroup is given. Distant kinship connections are marked with a dotted line, and a closer (about fourth degree) relationship is highlighted with a solid line. b, Box plot (Tukey’s method) of normalized read coverage aligning to chromosome 21 for shotgun-sequenced ancient samples (n = 188), with a single outlier from Poulnabrone (representing an infant with trisomy).
Extended Data Fig. 7 Subclade distributions of Y chromosome haplogroup I2a1 in Ireland, Britain and Europe from the Mesolithic to the Bronze Age.
a, Y haplogroups observed for Neolithic individuals (jittered) in Britain and Ireland. Shape indicates the approximate time period within the Neolithic (based on ref. 91), and colour indicates haplogroup and follows the same keys as in b–d. b–d, Approximately 94% of the British and Irish Neolithic samples belong to haplogroups I2a1b1 (45%), I2a1a1 (14%) and I2a1a2 (35%). Incidences (jittered) of these haplogroups in European individuals from the Mesolithic to the Bronze Age are shown for I2a1b1 (b), I2a1a1 (c) and I2a1a2 (d). Haplogroup colour keys are shown with respect to phylogenetic placement; those haplogroups observed within Britain and Ireland are shown in bold. European individuals who share an identical set of haplotypic mutations (for sites covered) to an Irish Neolithic individual are highlighted with a black outline in c (for I2a1a1) and d (for I2a1a2).
Extended Data Fig. 8 Geographic and genomic distributions of northwestern European hunter-gatherer ancestry among British and Irish Neolithic individuals.
a, Geographic distribution of northwestern European hunter-gatherer introgression in Britain and Ireland across 103 Neolithic samples. Box plot (Tukey’s method) highlights four outliers, three from the Early-to-Middle Neolithic of Argyll and one from Ireland (designated Parknabinnia675 (PB675)). The next highest value is also from Parknabinnia (individual PB754). b, The same D-statistic run on separate chromosomes for individuals of sufficient coverage (n = 86). Outlying individuals are marked for each chromosome. Irish outliers follow the same shape and colour key as in Fig. 1. Outliers who are also outliers in the box plot in a are marked in bold. c, Box plot (Tukey’s method; n = 86) of sample standard deviations across the chromosomes for the same D-statistic. Four outliers with high variance across the chromosomes are marked, including three samples from Parknabinnia, two of whom are also top hits in a. d–f, Haplotypic affinities of imputed Irish and British Neolithic individuals (n = 47) to Irish hunter-gatherers, relative to other northwestern European hunter-gatherers (Bichon, Loschbour and Cheddar Man). Colour and shape key follows Fig. 1. The outlying individual PB675 shows a preference for Irish hunter-gatherer haplotypes in all measures. Regression lines are shown with 95% confidence interval shaded (sample size = 47). PB675 shows a higher-than-expected number of Irish hunter-gatherer haplotypes (d), has the highest overall hunter-gatherer haplotypic length contribution, with a ratio skewed towards Irish hunter-gatherers (e) and displays the longest average length of Irish-hunter-gatherer haplotype chunks (f).
Extended Data Fig. 9 SNP -sharing analyses of autosomal structure in Neolithic populations of the Atlantic seaboard.
a, Principal component analysis created using an identical sample (n = 57) and set of SNPs (about 488,000 sites; pseudo-haplodized) to that presented in Fig. 1d, e. b, Outgroup f3-statistics for all combinations of samples in a, using a reduced set of SNPs (about 270,000 sites; pseudo-haplodized). Results are presented in a heat map and corresponding dendrogram.
Extended Data Fig. 10 Imputation accuracies for chromosome 22 of the high-coverage NE1 genome, downsampled to 1×.
The levels of accuracy seen across all SNPs (solid line) (n = 204,316 for no minor allele frequency (MAF) filter and genotype probability of 80) is compared to that seen for transversions only (dashed line) (n = 62,374 for no minor allele frequency filter and genotype probability of 80). Accuracies at different genotype probability thresholds and minor allele frequency filters are shown for the three different genotype categories. Minor allele frequency filters are based on overall frequency in the 1000 Genomes phase 3 dataset.
This file contains Supplementary Methods and Text, Supplementary Figures 1-6 and Supplementary References. (PDF file: 5,958 Kb).
This file contains Supplementary Tables 1-12. Supplementary Table 1 contains archaeological information for all samples screened. Supplementary Table 2 contains sequencing statistics. Supplementary Table 3 contains published genomic data included in this study. Supplementary Table 4 contains published isotopic data included in this study. Supplementary Table 5 contains molecular sexing statistics. Supplementary Tables 6-8 contains sample mitochondrial and Y chromosome haplogroup information. Supplementary Tables 9-11 contain D- and f-statistic results. Supplementary Table 12 contains hIrisPlex-S results. (XLSX file: 1,071 Kb).
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Cassidy, L.M., Maoldúin, R.Ó., Kador, T. et al. A dynastic elite in monumental Neolithic society. Nature 582, 384–388 (2020). https://doi.org/10.1038/s41586-020-2378-6
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