Note - As of April 6 2023, all eight data releases previously available only through this page have been mirrored to a Dataverse repository which simplifies distribution and version control. This has a citable digital object identifier (https://doi.org/10.7910/DVN/FFIDCW), as described in the accompanying bioRxiv preprint (https://doi.org/10.1101/2023.04.06.535797). If you are using the data from this compendium, please include these two citations in papers going forward while also citing the appropriate individual papers that report the data for each of the individuals analysed. References for the source data are listed in the README accompanying each release. Future updates will be distributed from Dataverse and no longer from this page.
*** V54.1.p1: Data release: Mar 6 2023 (minor patch on v54.1) ***
On this page you can download a merged dataset consisting of genotypes for thousands of ancient and present-day individuals at up to 1.23 million positions in the genome (in hg19 coordinates).
The aim of Allen Ancient DNA Resource (AADR) is to provide a uniformly curated dataset that can be useful for scientists interested in carrying out analyses of population history and natural selection.
The genotypes in the AADR are not always a perfect match to those from the associated published papers. This is because to make it easier to coanalyze datasets we have started from bam or fastq files, trimmed the ends of sequences to reduce errors due to ancient DNA damage in a way that is largely uniform across datasets, which may be slightly different from that used in the individual publications, and determined genotypes anew by sampling a random sequence to cover each position.
Researchers who wish to use this compilation as the basis of their publications should cite this website and release version (e.g. "Allen Ancient DNA Resource https://reich.hms.harvard.edu/allen-ancient-dna-resource-aadr-downloadable-genotypes-present-day-and-ancient-dna-data", version 54.1.p1 while also citing the individual papers that report the data for each of the individuals they analyze (all references for the source data are listed below).
Going forward, we expect to be updating this resource every couple of months to keep it maximally useful to the community. Please let us know if you have recommendations for improvements or identify errors or other issues.
We thank the Paul G. Allen Foundation, the John Templeton Foundation, a grant from the U.S. National Institutes of Health, and the Howard Hughes Medical Institute, for providing the resources needed to create and update this dataset.
Updated in this release:
• No new data added; minor edits
All data released here:
(a) have already been published (some by our group and some by other groups - see full list of references below),
(b) have permissions appropriate for fully public data release,
(c) have data reported for a set of 1,233,013 sites in the genome (or 597,573 sites for present-day individuals genotyped on the Affymetrix Human Origins array). For most individuals, genetic data are represented by randomly sampled sequences at positions covered by at least one sequence.
There are two datasets:
"1240K" : Ancient and present-day individuals (from either shotgun sequencing data or in-solution target capture, with a range of coverages) at 1,233,013 sites,
"1240K+HO": Data from the above set merged with present-day individuals typed on the Human Origins array with 597,573 sites.
Each dataset consists of four files, in eigenstrat format. For details, please see: eigensoft:
.anno: Rich meta-information for each individual.
.ind : Three columns: Individual ID, sex determination, and group label (population).
.snp : Information on each analyzed SNP position (SNP id, physical/genetic location and reference/variant alleles, where the reference allele matches hg19).
.geno: Genotypes (see note 2 below)
Version v54.1.p1
| Description |
.anno |
.ind |
.snp |
.geno |
Tarball all files |
Notes |
| 1240k |
link
(6.1 Mb) |
link
(666 Kb) |
link
(75 Mb) |
link
(4.8 Gb) |
link
(4.8 Gb) |
16389 unique individuals
(9990 ancient, 6399 present-day)1 |
| 1240K+HO |
link
(7.1 Mb) |
link
(718 Kb) |
link
(36 Mb) |
link
(2.9 Gb) |
link
(2.9 Gb) |
20503 unique individuals
(9990 ancient, 10513 present-day)1 |
1: includes one ancestral reference, and three present-day references: human, chimp, gorilla.
2: genotypes are in a binary form using the 'packedancestrymap' format described in in eigensoft; this may be converted to a (large) text file (i.e. 'eigenstrat' format, using the software 'convertf').
3: md5sums are available: here. These may be used to verify that files which are downloaded match this distribution, using the linux command: 'md5sum < file >'.
Please note: The unique individual identifier is given in the 'Master ID' field. Multiple representatives of the same individual are thus indicated by a duplicated master ID. Some individuals are represented more than once to reflect different versions of processing or different publications. This may happen for example, when increased coverage has been generated after an initial publication. For many analyses it may be necessary to select only one version: for example the single sample Loschbour (master ID=I0001) is represented by two Version IDs, 'Loschbour_snpAD.DG' and 'Loschbour_published.DG'. It would be incorrect to consider these as two samples from the same population. If it is not important which version is used, we suggest choosing the master ID which has the highest number of SNPs hit on autosomal targets.
In addition, mitogenomes for samples generated at the Reich Lab are available here.
We would be grateful if users of this dataset could alert us to any errors they detect and help us to fill in missing data. This could include: (1) errors or missing information for location, latitude, longitude, archaeological context, date, and group label, (2) concerns about Y chromosome or mitochondrial DNA haplogroup determinations, and (3) evidence for other problems in the data or annotations for individuals. Please write to Swapan 'Shop' Mallick and David Reich with any suggestions.
We would also be grateful if members of the community could suggest additional content that would be helpful to add to this page to make it maximally useful. Finally, please let us know if there are any published ancient or modern DNA datasets that are not included in this compendium and that should be. The following datasets are already processed for inclusion in the next release which will be v55. However, if you write to us to let us know of any missing datasets not on this list we will make a special effort to include them.
Terminology and abbreviations used:
HG=hunter-gatherer, N=Neolithic, C=Chalcolithic/CopperAge, BA=BronzeAge, IA=IronAge
E=Early, M=Middle, L=Late, A=Antiquity
SG=samples with whole genome shotgun sequence data, randomly drawing a single read to represent each position in the genome
DG=samples shotgun sequenced with high enough coverage to call diploid genotypes, allowing for heterozygous calls
SDG=Sanger dipoid genotypes
WGC=Whole genome capture
WGA=Whole genome amplified
Individuals marked as 'Ignore_' or 'outlier' have been identified as ones which may be filtered out from primary analyses for various reasons, such as being outliers from their main clusters or close relatives of others from the same group.
UDG treatments:
Various UDG protocols are available to researchers, indicated in field 'Library type'.
• UDG-minus means that no UDG treatment is used. The typical deamination profile that results is then high towards the ends of the molecules and drops off slowly as one moves 5-10 bases towards the centre of the molecule; deamination still occurs throughout the molecule.
• UDG-plus means that UDG is used. With this, molecules are cleaved where a uracil exists prior to sequencing. This means that deamination (generally) does not exist (there are some situations where UDG treatment fails, for example at methylated sites).
• UDG-half is a specialised form of UDG treatment, where uracils are not completely removed, and left at the first one or two bases. The profile of deamination is then very high at the first base, drops fast and by the third base is very low. This continues throughout the molecule, until one or two bases at the other end. This is useful in that molecules which are clearly ancient from the deamination signature may be identified (using tools such as MapDamage, or pmdtools), but the number of bases which are 'damaged' and typically have to be removed prior to analysis is low - just one or two bases, whereas with UDG-minus, typically, five or even ten bases should be removed. Given how short ancient DNA molecules can be compared with modern DNA, because of degradation, losing five or ten bases can be a considerable loss of data for some samples (in the dataset provided here, we almost always ignore data derives from sites 1-2 nucleotides from either end for UDG-half, and 5-10 nucleotides from either end for UDG-minus).
• mixed treatments, eg:UDG-plus,half: For each sample, a number of libraries may be constructed, and of course different UDG treatments can be used for different libraries. The different libraries are useful because they capture different molecules and thus increase data quality for the individual. When these libraries are combined into a single bam (or aligned dataset) for an individual sample, these can be annotated according to the separate treatments, eg: "plus,half".
Update history:
[Mon Mar 6 22:35:44 EST 2023]: V54.1.p1 release (minor patch release)
[Wed Nov 16 14:37:52 EST 2022]: V54.1 release
[Thu Aug 22 22:46:15 EDT 2022]: V52.2 release
[Mon Aug 1 02:01:40 EDT 2022]: V50.0.p1 release (minor patch release)
[Sun Oct 10 02:13:04 EDT 2021]: V50.0 release
[Wed Jan 20 22:51:34 EST 2021]: V44.3 release
[Wed Jun 24 16:14:09 EDT 2020]: md5sums added
[Sun Mar 1 10:32:12 EDT 2020]: data release
[Sat Feb 29 15:44:38 EST 2020]: V42.4 update
[Tue Apr 2 18:07:09 EDT 2019]: edits
[Mon Apr 1 22:15:31 EDT 2019]: website integration edits
[Thu Mar 28 23:33:13 EDT 2019]: V37.2 minor edits.
[Tue Mar 26 11:59:31 EDT 2019]: V37.2 minor edits.
[Mon Mar 25 16:26:10 EDT 2019]: V37.2 tidy .anno.
[Fri Feb 22 12:25:37 EST 2019]: V37.2 new release.
Previous versions:
V54.1: released Nov 22 2022
V52.2: released Aug 22 2022
V50.0.p1: released Aug 1 2022
V50.0: released Oct 2021
V44.3: released Jan 2021
V42.4: released Mar 2020
V37.2: released Feb 2019
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137 ancient human genomes from across the Eurasian steppes.
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The first horse herders and the impact of early Bronze Age steppe expansions into Asia.
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Ancient DNA at the edge of the world: Continental immigration and the persistence of Neolithic male lineages in Bronze Age Orkney.
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Ancient genomes from Iceland reveal the making of a human population.
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Genomic Steppe ancestry in skeletons from the Neolithic Single Grave Culture in Denmark.
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Late Pleistocene human genome suggests a local origin for the first farmers of central Anatolia.
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Ancient DNA sheds light on the genetic origins of early Iron Age Philistines.
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The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean.
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A genetic history of the pre-contact Caribbean.
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A high-resolution picture of kinship practices in an Early Neolithic tomb..
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Genomic insights into the origin and diversification of late maritime hunter-gatherers from the Chilean Patagonia.
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A genomic Neolithic time transect of hunter-farmer admixture in central Poland.
Fernandes DM, Strapagiel D, Borówka P, Marciniak B, Żądzińska E, Sirak K, Siska V, Grygiel R, Carlsson J, Manica A, Lorkiewicz W, Pinhasi R.
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Palaeo-Eskimo genetic ancestry and the peopling of Chukotka and North America.
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Ancient genomes from North Africa evidence prehistoric migrations to the Maghreb from both the Levant and Europe.
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An early modern human from Romania with a recent Neanderthal ancestor.
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The genetic history of Ice Age Europe.
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Comparison of target enrichment strategies for ancient pathogen DNA.
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Genomes from Verteba cave suggest diversity within the Trypillians in Ukraine.
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Ancient genomes reveal origin and rapid trans-Eurasian migration of 7th century Avar elites.
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Ancient genomic time transect from the Central Asian Steppe unravels the history of the Scythians.
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Differential DNA methylation of vocal and facial anatomy genes in modern humans.
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Paleogenomic Evidence for Multi-generational Mixing between Neolithic Farmers and Mesolithic Hunter-Gatherers in the Lower Danube Basin.
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A western route of prehistoric human migration from Africa into the Iberian Peninsula.
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The Anglo-Saxon migration and the formation of the early English gene pool.
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Population genomics of Mesolithic Scandinavia: Investigating early postglacial migration routes and high-latitude adaptation.
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Ancient genomes link early farmers from Atapuerca in Spain to modern-day Basques.
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Continuity and Admixture in the Last Five Millennia of Levantine History from Ancient Canaanite and Present-Day Lebanese Genome Sequences.
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A Transient Pulse of Genetic Admixture from the Crusaders in the Near East Identified from Ancient Genome Sequences.
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A Genetic History of the Near East from an aDNA Time Course Sampling Eight Points in the Past 4,000 Years.
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Reconstructing the genetic history of late Neanderthals.
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Initial Upper Palaeolithic humans in Europe had recent Neanderthal ancestry. .
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Ancient DNA from the skeletons of Roopkund Lake reveals Mediterranean migrants in India.
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Corded Ware cultural complexity uncovered using genomic and isotopic analysis from south-eastern Poland.
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Ancient DNA and deep population structure in sub-Saharan African foragers.
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Population Turnover in Remote Oceania Shortly after Initial Settlement.
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Curr Biol. 2018 Apr 2;28(7):1157-1165.e7. doi: 10.1016/j.cub.2018.02.051. Epub 2018 Feb 28. PMID:29501328.
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Three Phases of Ancient Migration Shaped the Ancestry of Human Populations in Vanuatu.
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Parallel palaeogenomic transects reveal complex genetic history of early European farmers.
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Ancient West African foragers in the context of African population history.
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Ancient genomes document multiple waves of migration in Southeast Asian prehistory.
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Ancient genomes from the Himalayas illuminate the genetic history of Tibetans and their Tibeto-Burman speaking neighbors.
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Ancient DNA reveals five streams of migration into Micronesia and matrilocality in early Pacific seafarers.
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Two ancient human genomes reveal Polynesian ancestry among the indigenous Botocudos of Brazil.
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The Simons Genome Diversity Project: 300 genomes from 142 diverse populations.
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Genomic signals of migration and continuity in Britain before the Anglo-Saxons.
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Genetic history from the Middle Neolithic to present on the Mediterranean island of Sardinia.
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The genetic origin of Huns, Avars, and conquering
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The population genomics of archaeological transition in west Iberia: Investigation of ancient substructure using imputation and haplotype-based methods.
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The genomic history of southeastern Europe.
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The genetic prehistory of the Baltic Sea region.
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Genomic insights into the early peopling of the Caribbean.
Nägele K, Posth C, Iraeta Orbegozo M, Chinique de Armas Y, Hernández Godoy ST, González Herrera UM, Nieves-Colón MA, Sandoval-Velasco M, Mylopotamitaki D, Radzeviciute R, Laffoon J, Pestle WJ, Ramos-Madrigal J, Lamnidis TC, Schaffer WC, Carr RS, Day JS, Arredondo Antúnez C, Rangel Rivero A, Martínez-Fuentes AJ, Crespo-Torres E, Roksandic I, Stone AC, Lalueza-Fox C, Hoogland M, Roksandic M, Hofman CL, Krause J, Schroeder H. Science. 2020 Jul 24;369(6502):456-460. doi: 10.1126/science.aba8697. Epub 2020 Jun 4. PMID: 32499399.
[NakatsukaLuisiNatureCommunications2020]:
Ancient genomes in South Patagonia reveal population movements associated with technological shifts and geography.
Nakatsuka N, Luisi P, Motti JMB, Salemme M, Santiago F, D'Angelo Del Campo MD, Vecchi RJ, Espinosa-Parrilla Y, Prieto A, Adamski N, Lawson AM, Harper TK, Culleton BJ, Kennett DJ, Lalueza-Fox C, Mallick S, Rohland N, Guichón RA, Cabana GS, Nores R, Reich D. Ancient genomes in South Patagonia reveal population movements associated with technological shifts and geography. Nat Commun. 2020 Aug 3;11(1):3868. doi: 10.1038/s41467-020-17656-w. PMID: 32747648; PMCID: PMC7400565.
[NakatsukaCell2020]:
A Paleogenomic Reconstruction of the Deep Population History of the Andes.
Nakatsuka N, Lazaridis I, Barbieri C, Skoglund P, Rohland N, Mallick S, Posth C, Harkins-Kinkaid K, Ferry M, Harney É, Michel M, Stewardson K, Novak-Forst J, Capriles JM, Durruty MA, Álvarez KA, Beresford-Jones D, Burger R, Cadwallader L, Fujita R, Isla J, Lau G, Aguirre CL, LeBlanc S, Maldonado SC, Meddens F, Messineo PG, Culleton BJ, Harper TK, Quilter J, Politis G, Rademaker K, Reindel M, Rivera M, Salazar L, Sandoval JR, Santoro CM, Scheifler N, Standen V, Barreto MI, Espinoza IF, Tomasto-Cagigao E, Valverde G, Kennett DJ, Cooper A, Krause J, Haak W, Llamas B, Reich D, Fehren-Schmitz L. Cell. 2020 May 28;181(5):1131-1145.e21. doi: 10.1016/j.cell.2020.04.015. Epub 2020 May 7. PMID: 32386546; PMCID: PMC7304944.
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The formation of human populations in South and Central Asia.
Narasimhan VM, Patterson N, Moorjani P, Rohland N, Bernardos R, Mallick S, Lazaridis I, Nakatsuka N, Olalde I, Lipson M, Kim AM, Olivieri LM, Coppa A, Vidale M, Mallory J, Moiseyev V, Kitov E, Monge J, Adamski N, Alex N, Broomandkhoshbacht N, Candilio F, Callan K, Cheronet O, Culleton BJ, Ferry M, Fernandes D, Freilich S, Gamarra B, Gaudio D, Hajdinjak M, Harney É, Harper TK, Keating D, Lawson AM, Mah M, Mandl K, Michel M, Novak M, Oppenheimer J, Rai N, Sirak K, Slon V, Stewardson K, Zalzala F, Zhang Z, Akhatov G, Bagashev AN, Bagnera A, Baitanayev B, Bendezu-Sarmiento J, Bissembaev AA, Bonora GL, Chargynov TT, Chikisheva T, Dashkovskiy PK, Derevianko A, Dobeš M, Douka K, Dubova N, Duisengali MN, Enshin D, Epimakhov A, Fribus AV, Fuller D, Goryachev A, Gromov A, Grushin SP, Hanks B, Judd M, Kazizov E, Khokhlov A, Krygin AP, Kupriyanova E, Kuznetsov P, Luiselli D, Maksudov F, Mamedov AM, Mamirov TB, Meiklejohn C, Merrett DC, Micheli R, Mochalov O, Mustafokulov S, Nayak A, Pettener D, Potts R, Razhev D, Rykun M, Sarno S, Savenkova TM, Sikhymbaeva K, Slepchenko SM, Soltobaev OA, Stepanova N, Svyatko S, Tabaldiev K, Teschler-Nicola M, Tishkin AA, Tkachev VV, Vasilyev S, Velemínský P, Voyakin D, Yermolayeva A, Zahir M, Zubkov VS, Zubova A, Shinde VS, Lalueza-Fox C, Meyer M, Anthony D, Boivin N, Thangaraj K, Kennett DJ, Frachetti M, Pinhasi R, Reich D. Science. 2019 Sep 6;365(6457). pii: eaat7487. doi: 10.1126/science.aat7487. PMID: 31488661.
[Nieves-ColónMolecularBiologyandEvolution2020]:
Ancient DNA Reconstructs the Genetic Legacies of Precontact Puerto Rico Communities.
Nieves-Colón MA, Pestle WJ, Reynolds AW, Llamas B, de la Fuente C, Fowler K, Skerry KM, Crespo-Torres E, Bustamante CD, Stone AC. Mol Biol Evol. 2020 Mar 1;37(3):611-626. doi: 10.1093/molbev/msz267. PMID: 31710665.
[NikitinScientificReports2019]:
Interactions between earliest Linearbandkeramik farmers and central European hunter gatherers at the dawn of European Neolithization.
Nikitin AG, Stadler P, Kotova N, Teschler-Nicola M, Price TD, Hoover J, Kennett DJ, Lazaridis I, Rohland N, Lipson M, Reich D. Sci Rep. 2019 Dec 20;9(1):19544. doi: 10.1038/s41598-019-56029-2. PMID: 31863024.
[NingCurrentBiology2019]:
Ancient Genomes Reveal Yamnaya-Related Ancestry and a Potential Source of Indo-European Speakers in Iron Age Tianshan.
Ning C, Wang CC, Gao S, Yang Y, Zhang X, Wu X, Zhang F, Nie Z, Tang Y, Robbeets M, Ma J, Krause J, Cui Y. Curr Biol. 2019 Aug 5;29(15):2526-2532.e4. doi: 10.1016/j.cub.2019.06.044. Epub 2019 Jul 25. PMID: 31353181.
[NingNatureCommunications2020]:
Ancient genomes from northern China suggest links between subsistence changes and human migration.
Ning C, Li T, Wang K, Zhang F, Li T, Wu X, Gao S, Zhang Q, Zhang H, Hudson MJ, Dong G, Wu S, Fang Y, Liu C, Feng C, Li W, Han T, Li R, Wei J, Zhu Y, Zhou Y, Wang CC, Fan S, Xiong Z, Sun Z, Ye M, Sun L, Wu X, Liang F, Cao Y, Wei X, Zhu H, Zhou H, Krause J, Robbeets M, Jeong C, Cui Y. Nat Commun. 2020 Jun 1;11(1):2700. doi: 10.1038/s41467-020-16557-2. PMID: 32483115; PMCID: PMC7264253.
[NovakPLoSOne2021]:
Genome-wide analysis of nearly all the victims of a 6200 year old massacre.
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A Common Genetic Origin for Early Farmers from Mediterranean Cardial and Central European LBK Cultures.
Olalde I, Schroeder H, Sandoval-Velasco M, Vinner L, Lobón I, Ramirez O, Civit S, García Borja P, Salazar-García DC, Talamo S, María Fullola J, Xavier Oms F, Pedro M, Martínez P, Sanz M, Daura J, Zilhão J, Marquès-Bonet T, Gilbert MT, Lalueza-Fox C.
Mol Biol Evol. 2015 Dec;32(12):3132-42. doi: 10.1093/molbev/msv181. Epub 2015 Sep 2.
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Nature. 2014 Mar 13;507(7491):225-8. doi: 10.1038/nature12960. Epub 2014 Jan 26.
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[OlaldeScience2019]:
The genomic history of the Iberian Peninsula over the past 8000 years.
Output encoded/decoded text
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Ancient genomes reveal long-range influence of the pre-Columbian culture and site of Tiwanaku.
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[PosthScienceAdvances2021]:
The origin and legacy of the Etruscans through a 2000-year archeogenomic time transect.
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[PosthNakatsukaCell2018]:
Reconstructing the Deep Population History of Central and South America.
Posth C, Nakatsuka N, Lazaridis I, Skoglund P, Mallick S, Lamnidis TC, Rohland N, Nägele K, Adamski N, Bertolini E, Broomandkhoshbacht N, Cooper A, Culleton BJ, Ferraz T, Ferry M, Furtwängler A, Haak W, Harkins K, Harper TK, Hünemeier T, Lawson AM, Llamas B, Michel M, Nelson E, Oppenheimer J, Patterson N, Schiffels S, Sedig J, Stewardson K, Talamo S, Wang CC, Hublin JJ, Hubbe M, Harvati K, Nuevo Delaunay A, Beier J, Francken M, Kaulicke P, Reyes-Centeno H, Rademaker K, Trask WR, Robinson M, Gutierrez SM, Prufer KM, Salazar-García DC, Chim EN, Müller Plumm Gomes L, Alves ML, Liryo A, Inglez M, Oliveira RE, Bernardo DV, Barioni A, Wesolowski V, Scheifler NA, Rivera MA, Plens CR, Messineo PG, Figuti L, Corach D, Scabuzzo C, Eggers S, DeBlasis P, Reindel M, Méndez C, Politis G, Tomasto-Cagigao E, Kennett DJ, Strauss A, Fehren-Schmitz L, Krause J, Reich D.
Cell. 2018 Nov 15;175(5):1185-1197.e22. doi: 10.1016/j.cell.2018.10.027. Epub 2018 Nov 8.
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[PosthNatureEcologyEvolution2018]:
Language continuity despite population replacement in Remote Oceania.
Posth C, Nägele K, Colleran H, Valentin F, Bedford S, Kami KW, Shing R, Buckley H, Kinaston R, Walworth M, Clark GR, Reepmeyer C, Flexner J, Maric T, Moser J, Gresky J, Kiko L, Robson KJ, Auckland K, Oppenheimer SJ, Hill AVS, Mentzer AJ, Zech J, Petchey F, Roberts P, Jeong C, Gray RD, Krause J, Powell A.
Nat Ecol Evol. 2018 Apr;2(4):731-740. doi: 10.1038/s41559-018-0498-2. Epub 2018 Feb 27.
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[PrendergastLipsonSawchukScience2019]:
Ancient DNA reveals a multistep spread of the first herders into sub-Saharan Africa.
Prendergast ME, Lipson M, Sawchuk EA, Olalde I, Ogola CA, Rohland N, Sirak KA, Adamski N, Bernardos R, Broomandkhoshbacht N, Callan K, Culleton BJ, Eccles L, Harper TK, Lawson AM, Mah M, Oppenheimer J, Stewardson K, Zalzala F, Ambrose SH, Ayodo G, Gates HL Jr, Gidna AO, Katongo M, Kwekason A, Mabulla AZP, Mudenda GS, Ndiema EK, Nelson C, Robertshaw P, Kennett DJ, Manthi FK, Reich D.
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[PrueferNatureEcologyEvolution2021]:
A genome sequence from a modern human skull over 45,000 years old from Zlatý kůň in Czechia.
Prüfer K, Posth C, Yu H, Stoessel A, Spyrou MA, Deviese T, Mattonai M, Ribechini E, Higham T, Velemínský P, Brůžek J, Krause J. Nat Ecol Evol. 2021 Jun;5(6):820-825. doi: 10.1038/s41559-021-01443-x. Epub 2021 Apr 7. PMID: 33828249; PMCID: PMC8175239.
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A high-coverage Neandertal genome from Vindija Cave in Croatia.
Prüfer K, de Filippo C, Grote S, Mafessoni F, Korlević P, Hajdinjak M, Vernot B, Skov L, Hsieh P, Peyrégne S, Reher D, Hopfe C, Nagel S, Maricic T, Fu Q, Theunert C, Rogers R, Skoglund P, Chintalapati M, Dannemann M, Nelson BJ, Key FM, Rudan P, Kućan Ž, Gušić I, Golovanova LV, Doronichev VB, Patterson N, Reich D, Eichler EE, Slatkin M, Schierup MH, Andrés AM, Kelso J, Meyer M, Pääbo S.
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The complete genome sequence of a Neanderthal from the Altai Mountains.
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Nature. 2014 Jan 2;505(7481):43-9. doi: 10.1038/nature12886. Epub 2013 Dec 18.
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Ancient genome-wide analyses infer kinship structure in an Early Medieval Alemannic graveyard.
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Ancient DNA reveals monozygotic newborn twins from the Upper Palaeolithic.
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A Late Bronze Age II clay coffin from Tel Shaddudin the Central Jezreel Valley, Israel: context andhistorical implications.
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Ancient genomes reveal complex patterns of population movement, interaction, and replacement in sub-Saharan Africa.
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Low Prevalence of Lactase Persistence in Bronze Age Europe Indicates Ongoing Strong Selection over the Last 3,000 Years.
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40,000-Year-Old Individual from Asia Provides Insight into Early Population Structure in Eurasia.
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Paleolithic to Bronze Age Siberians Reveal Connections with First Americans and across Eurasia.
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Ancient DNA of Phoenician remains indicates discontinuity in the settlement history of Ibiza.
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Kinship, acquired and inherited status, and population structure at the Early Bronze Age Mokrin necropolis in northern Serbia.
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The genomic origins of the Bronze Age Tarim Basin mummies. Zhang F, Ning C, Scott A, Fu Q, Bjørn R, Li W, Wei D, Wang W, Fan L, Abuduresule I, Hu X, Ruan Q, Niyazi A, Dong G, Cao P, Liu F, Dai Q, Feng X, Yang R, Tang Z, Ma P, Li C, Gao S, Xu Y, Wu S, Wen S, Zhu H, Zhou H, Robbeets M, Kumar V, Krause J, Warinner C, Jeong C, Cui Y. The genomic origins of the Bronze Age Tarim Basin mummies. Nature. 2021 Nov;599(7884):256-261. doi: 10.1038/s41586-021-04052-7. Epub 2021 Oct 27. PMID: 34707286; PMCID: PMC8580821.