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Author

Annamária Pósa

Other affiliations: University of Szeged
Bio: Annamária Pósa is an academic researcher from Hungarian Academy of Sciences. The author has contributed to research in topics: Chalcolithic & Population. The author has an hindex of 6, co-authored 8 publications receiving 271 citations. Previous affiliations of Annamária Pósa include University of Szeged.
Topics: Chalcolithic, Population, Ancient DNA, Prehistory

Papers
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Journal ArticleDOI
16 Nov 2017-Nature
TL;DR: Investigating the population dynamics of Neolithization across Europe using a high-resolution genome-wide ancient DNA dataset with a total of 180 samples finds that genetic diversity was shaped predominantly by local processes, with varied sources and proportions of hunter-gatherer ancestry among the three regions and through time.
Abstract: In European Neolithic populations, the arrival of farmers prompted admixture with local hunter-gatherers over many centuries, resulting in distinct signatures in each region due to a complex series of interactions. David Reich and colleagues analyse genome-wide data from 180 individuals from the Neolithic and Chalcolithic periods of Hungary, Germany and Spain to study the population dynamics of Neolithization in European prehistory. They examine how gene flow reshaped European populations during the Neolithic period, including pervasive admixture—the interbreeding between previously isolated populations—between groups with different ancestry profiles. In each region, they find that the arrival of farmers prompted admixture with local hunter-gatherers, over the course of 3,000 years. Ancient DNA studies have established that Neolithic European populations were descended from Anatolian migrants1,2,3,4,5,6,7,8 who received a limited amount of admixture from resident hunter-gatherers3,4,5,9. Many open questions remain, however, about the spatial and temporal dynamics of population interactions and admixture during the Neolithic period. Here we investigate the population dynamics of Neolithization across Europe using a high-resolution genome-wide ancient DNA dataset with a total of 180 samples, of which 130 are newly reported here, from the Neolithic and Chalcolithic periods of Hungary (6000–2900 bc, n = 100), Germany (5500–3000 bc, n = 42) and Spain (5500–2200 bc, n = 38). We find that genetic diversity was shaped predominantly by local processes, with varied sources and proportions of hunter-gatherer ancestry among the three regions and through time. Admixture between groups with different ancestry profiles was pervasive and resulted in observable population transformation across almost all cultural transitions. Our results shed new light on the ways in which gene flow reshaped European populations throughout the Neolithic period and demonstrate the potential of time-series-based sampling and modelling approaches to elucidate multiple dimensions of historical population interactions.

278 citations

Posted ContentDOI
01 Nov 2017-bioRxiv
TL;DR: The highest-resolution genome-wide ancient DNA data set assembled to date is used and finds that genetic diversity was shaped predominantly by local processes, with varied sources and proportions of hunter-gatherer ances try among the three regions and through time.
Abstract: Ancient DNA studies have established that European Neolithic populations were descended from Anatolian migrants who received a limited amount of admixture from resident hunter-gatherers. Many open questions remain, however, about the spatial and temporal dynamics of population interactions and admixture during the Neolithic period. Using the highest-resolution genome-wide ancient DNA data set assembled to date --- a total of 177 samples, 127 newly reported here, from the Neolithic and Chalcolithic of Hungary (6000-2900 BCE, n = 98), Germany (5500-3000 BCE, n = 42), and Spain (5500-2200 BCE, n = 37) --- we investigate the population dynamics of Neolithization across Europe. We find that genetic diversity was shaped predominantly by local processes, with varied sources and proportions of hunter-gatherer ancestry among the three regions and through time. Admixture between groups with different ancestry profiles was pervasive and resulted in observable population transformation across almost all cultural transitions. Our results shed new light on the ways that gene flow reshaped European populations throughout the Neolithic period and demonstrate the potential of time-series-based sampling and modeling approaches to elucidate multiple dimensions of historical population interactions.

68 citations

Journal ArticleDOI
TL;DR: The detection of TB DNA in the individual with Pott's disease provided further evidence for the occurrence of TB in Neolithic populations of Europe and indicated that several other individuals of the same grave group were also infected with TB, opening the possibility for further analyses of this unique Neolithic skeletal series.

26 citations

Posted ContentDOI
06 Mar 2017-bioRxiv
TL;DR: This paper investigated the population dynamics of Neolithization across Europe and found that genetic diversity was shaped predominantly by local processes, with varied sources and proportions of hunter-gatherer ancestry among the three regions and through time.
Abstract: Ancient DNA studies have established that European Neolithic populations were descended from Anatolian migrants who received a limited amount of admixture from resident hunter-gatherers. Many open questions remain, however, about the spatial and temporal dynamics of population interactions and admixture during the Neolithic period. Using the highest-resolution genome-wide ancient DNA data set assembled to date---a total of 177 samples, 127 newly reported here, from the Neolithic and Chalcolithic of Hungary (6000-2900 BCE, n = 98), Germany (5500-3000 BCE, n = 42), and Spain (5500-2200 BCE, n = 37)---we investigate the population dynamics of Neolithization across Europe. We find that genetic diversity was shaped predominantly by local processes, with varied sources and proportions of hunter-gatherer ancestry among the three regions and through time. Admixture between groups with different ancestry profiles was pervasive and resulted in observable population transformation across almost all cultural transitions. Our results shed new light on the ways that gene flow reshaped European populations throughout the Neolithic period and demonstrate the potential of time-series-based sampling and modeling approaches to elucidate multiple dimensions of historical population interactions.

15 citations

Journal ArticleDOI
TL;DR: A well-preserved young adult female skeleton from the AD 7-8th century (Avar Age) in Hungary revealed multiple lytic lesions in all of the thoracic and lumbar vertebral bodies, characteristic of the healing stage of TB.

10 citations


Cited by
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Journal ArticleDOI
Iñigo Olalde1, Selina Brace2, Morten E. Allentoft3, Ian Armit4  +166 moreInstitutions (69)
08 Mar 2018-Nature
TL;DR: Genome-wide data from 400 Neolithic, Copper Age and Bronze Age Europeans is presented, finding limited genetic affinity between Beaker-complex-associated individuals from Iberia and central Europe, and excludes migration as an important mechanism of spread between these two regions.
Abstract: From around 2750 to 2500 bc, Bell Beaker pottery became widespread across western and central Europe, before it disappeared between 2200 and 1800 bc. The forces that propelled its expansion are a matter of long-standing debate, and there is support for both cultural diffusion and migration having a role in this process. Here we present genome-wide data from 400 Neolithic, Copper Age and Bronze Age Europeans, including 226 individuals associated with Beaker-complex artefacts. We detected limited genetic affinity between Beaker-complex-associated individuals from Iberia and central Europe, and thus exclude migration as an important mechanism of spread between these two regions. However, migration had a key role in the further dissemination of the Beaker complex. We document this phenomenon most clearly in Britain, where the spread of the Beaker complex introduced high levels of steppe-related ancestry and was associated with the replacement of approximately 90% of Britain's gene pool within a few hundred years, continuing the east-to-west expansion that had brought steppe-related ancestry into central and northern Europe over the previous centuries.

479 citations

Journal ArticleDOI
Iain Mathieson1, Songül Alpaslan-Roodenberg1, Cosimo Posth2, Cosimo Posth3, Anna Szécsényi-Nagy4, Nadin Rohland1, Swapan Mallick1, Swapan Mallick5, Iñigo Olalde1, Nasreen Broomandkhoshbacht1, Nasreen Broomandkhoshbacht5, Francesca Candilio6, Olivia Cheronet7, Olivia Cheronet6, Daniel Fernandes8, Daniel Fernandes6, Matthew Ferry1, Matthew Ferry5, Beatriz Gamarra6, Gloria G. Fortes9, Wolfgang Haak3, Wolfgang Haak10, Eadaoin Harney5, Eadaoin Harney1, Eppie R. Jones11, Eppie R. Jones12, Denise Keating6, Ben Krause-Kyora3, Isil Kucukkalipci2, Megan Michel1, Megan Michel5, Alissa Mittnik3, Alissa Mittnik2, Kathrin Nägele3, Mario Novak6, Jonas Oppenheimer5, Jonas Oppenheimer1, Nick Patterson13, Saskia Pfrengle2, Kendra Sirak6, Kendra Sirak14, Kristin Stewardson5, Kristin Stewardson1, Stefania Vai15, Stefan Alexandrov16, Kurt W. Alt17, Radian Andreescu, Dragana Antonović, Abigail Ash6, Nadezhda Atanassova16, Krum Bacvarov16, Mende Balázs Gusztáv4, Hervé Bocherens2, Michael Bolus2, Adina Boroneanţ18, Yavor Boyadzhiev16, Alicja Budnik, Josip Burmaz, Stefan Chohadzhiev, Nicholas J. Conard2, Richard Cottiaux, Maja Čuka, Christophe Cupillard19, Dorothée G. Drucker2, Nedko Elenski, Michael Francken2, Borislava Galabova, Georgi Ganetsovski, Bernard Gély, Tamás Hajdu20, Veneta Handzhyiska21, Katerina Harvati2, Thomas Higham22, Stanislav Iliev, Ivor Janković23, Ivor Karavanić24, Ivor Karavanić23, Douglas J. Kennett25, Darko Komšo, Alexandra Kozak26, Damian Labuda27, Martina Lari15, Cătălin Lazăr28, Maleen Leppek29, Krassimir Leshtakov21, Domenico Lo Vetro15, Dženi Los, Ivaylo Lozanov21, Maria Malina2, Fabio Martini15, Kath McSweeney30, Harald Meller, Marko Menđušić, Pavel Mirea, Vyacheslav Moiseyev, Vanya Petrova21, T. Douglas Price31, Angela Simalcsik18, Luca Sineo32, Mario Šlaus33, Vladimir Slavchev, Petar Stanev, Andrej Starović, Tamás Szeniczey20, Sahra Talamo3, Maria Teschler-Nicola34, Maria Teschler-Nicola7, Corinne Thevenet, Ivan Valchev21, Frédérique Valentin19, Sergey Vasilyev35, Fanica Veljanovska, Svetlana Venelinova, Elizaveta Veselovskaya35, Bence Viola36, Bence Viola35, Cristian Virag, Joško Zaninović, Steve Zäuner, Philipp W. Stockhammer3, Philipp W. Stockhammer29, Giulio Catalano32, Raiko Krauß2, David Caramelli15, Gunita Zariņa37, Bisserka Gaydarska38, Malcolm Lillie39, Alexey G. Nikitin40, Inna Potekhina26, Anastasia Papathanasiou, Dusan Boric41, Clive Bonsall30, Johannes Krause3, Johannes Krause2, Ron Pinhasi7, Ron Pinhasi6, David Reich13, David Reich5, David Reich1 
08 Mar 2018-Nature
TL;DR: It is shown that southeastern Europe continued to be a nexus between east and west after the arrival of farmers, with intermittent genetic contact with steppe populations occurring up to 2,000 years earlier than the migrations from the steppe that ultimately replaced much of the population of northern Europe.
Abstract: Farming was first introduced to Europe in the mid-seventh millennium bc, and was associated with migrants from Anatolia who settled in the southeast before spreading throughout Europe. Here, to und ...

447 citations

Journal ArticleDOI
15 Jul 1988-JAMA
TL;DR: The multiplication of techniques for imaging and studying the bone and soft tissues has made choosing the best method for examination of the patient more difficult and, in an environment in which cost-effectiveness has become a byword, more important.
Abstract: The first edition (1981) of this comprehensive work weighed 25 lb and had 3300 pages. This entirely new third edition, published 14 years later, has grown to 45 lb and 4850 pages. This growth is not due to inflation but is the direct result of the information explosion. The multiplication of techniques for imaging and studying the bone and soft tissues has made choosing the best method for examination of the patient more difficult and, in an environment in which cost-effectiveness has become a byword, more important. An underlying principle of this work is to guide the physician in the choice of the technology to be employed to get essential information quickly and efficiently. Dr Resnick has called on a group of 40 contributors for special information, but he himself has played a major role in the writing and has been more than an editor, thereby ensuring a consistent and

443 citations

Iosif Lazaridis1, Iosif Lazaridis2, Nick Patterson1, Alissa Mittnik3, Gabriel Renaud4, Swapan Mallick1, Swapan Mallick2, Karola Kirsanow5, Peter H. Sudmant6, Joshua G. Schraiber7, Joshua G. Schraiber6, Sergi Castellano4, Mark Lipson8, Bonnie Berger1, Bonnie Berger8, Christos Economou9, Ruth Bollongino5, Qiaomei Fu4, Kirsten I. Bos3, Susanne Nordenfelt1, Susanne Nordenfelt2, Heng Li2, Heng Li1, Cesare de Filippo4, Kay Prüfer4, Susanna Sawyer4, Cosimo Posth3, Wolfgang Haak10, Fredrik Hallgren11, Elin Fornander11, Nadin Rohland1, Nadin Rohland2, Dominique Delsate12, Michael Francken3, Jean-Michel Guinet12, Joachim Wahl, George Ayodo, Hamza A. Babiker13, Hamza A. Babiker14, Graciela Bailliet, Elena Balanovska, Oleg Balanovsky, Ramiro Barrantes15, Gabriel Bedoya16, Haim Ben-Ami17, Judit Bene18, Fouad Berrada19, Claudio M. Bravi, Francesca Brisighelli20, George B.J. Busby21, Francesco Calì, Mikhail Churnosov22, David E. C. Cole23, Daniel Corach24, Larissa Damba, George van Driem25, Stanislav Dryomov26, Jean-Michel Dugoujon27, Sardana A. Fedorova28, Irene Gallego Romero29, Marina Gubina, Michael F. Hammer30, Brenna M. Henn31, Tor Hervig32, Ugur Hodoglugil33, Aashish R. Jha29, Sena Karachanak-Yankova34, Rita Khusainova35, Elza Khusnutdinova35, Rick A. Kittles30, Toomas Kivisild36, William Klitz7, Vaidutis Kučinskas37, Alena Kushniarevich38, Leila Laredj39, Sergey Litvinov38, Theologos Loukidis40, Theologos Loukidis41, Robert W. Mahley42, Béla Melegh18, Ene Metspalu43, Julio Molina, Joanna L. Mountain, Klemetti Näkkäläjärvi44, Desislava Nesheva34, Thomas B. Nyambo45, Ludmila P. Osipova, Jüri Parik43, Fedor Platonov28, Olga L. Posukh, Valentino Romano46, Francisco Rothhammer47, Francisco Rothhammer48, Igor Rudan14, Ruslan Ruizbakiev49, Hovhannes Sahakyan50, Hovhannes Sahakyan38, Antti Sajantila51, Antonio Salas52, Elena B. Starikovskaya26, Ayele Tarekegn, Draga Toncheva34, Shahlo Turdikulova49, Ingrida Uktveryte37, Olga Utevska53, René Vasquez54, Mercedes Villena54, Mikhail Voevoda55, Cheryl A. Winkler56, Levon Yepiskoposyan50, Pierre Zalloua57, Pierre Zalloua2, Tatijana Zemunik58, Alan Cooper10, Cristian Capelli21, Mark G. Thomas40, Andres Ruiz-Linares40, Sarah A. Tishkoff59, Lalji Singh60, Kumarasamy Thangaraj61, Richard Villems62, Richard Villems43, Richard Villems38, David Comas63, Rem I. Sukernik26, Mait Metspalu38, Matthias Meyer4, Evan E. Eichler6, Joachim Burger5, Montgomery Slatkin7, Svante Pääbo4, Janet Kelso4, David Reich64, David Reich2, David Reich1, Johannes Krause4, Johannes Krause3 
Broad Institute1, Harvard University2, University of Tübingen3, Max Planck Society4, University of Mainz5, University of Washington6, University of California, Berkeley7, Massachusetts Institute of Technology8, Stockholm University9, University of Adelaide10, The Heritage Foundation11, National Museum of Natural History12, Sultan Qaboos University13, University of Edinburgh14, University of Costa Rica15, University of Antioquia16, Rambam Health Care Campus17, University of Pécs18, Al Akhawayn University19, Catholic University of the Sacred Heart20, University of Oxford21, Belgorod State University22, University of Toronto23, University of Buenos Aires24, University of Bern25, Russian Academy of Sciences26, Paul Sabatier University27, North-Eastern Federal University28, University of Chicago29, University of Arizona30, Stony Brook University31, University of Bergen32, Illumina33, Sofia Medical University34, Bashkir State University35, University of Cambridge36, Vilnius University37, Estonian Biocentre38, University of Strasbourg39, University College London40, Amgen41, Gladstone Institutes42, University of Tartu43, University of Oulu44, Muhimbili University of Health and Allied Sciences45, University of Palermo46, University of Tarapacá47, University of Chile48, Academy of Sciences of Uzbekistan49, Armenian National Academy of Sciences50, University of North Texas51, University of Santiago de Compostela52, University of Kharkiv53, Higher University of San Andrés54, Novosibirsk State University55, Leidos56, Lebanese American University57, University of Split58, University of Pennsylvania59, Banaras Hindu University60, Centre for Cellular and Molecular Biology61, Estonian Academy of Sciences62, Pompeu Fabra University63, Howard Hughes Medical Institute64
01 Sep 2014
TL;DR: The authors showed that most present-day Europeans derive from at least three highly differentiated populations: west European hunter-gatherers, ancient north Eurasians related to Upper Palaeolithic Siberians, who contributed to both Europeans and Near Easterners; and early European farmers, who were mainly of Near Eastern origin but also harboured west European hunters-gatherer related ancestry.
Abstract: We sequenced the genomes of a ∼7,000-year-old farmer from Germany and eight ∼8,000-year-old hunter-gatherers from Luxembourg and Sweden. We analysed these and other ancient genomes with 2,345 contemporary humans to show that most present-day Europeans derive from at least three highly differentiated populations: west European hunter-gatherers, who contributed ancestry to all Europeans but not to Near Easterners; ancient north Eurasians related to Upper Palaeolithic Siberians, who contributed to both Europeans and Near Easterners; and early European farmers, who were mainly of Near Eastern origin but also harboured west European hunter-gatherer related ancestry. We model these populations' deep relationships and show that early European farmers had ∼44% ancestry from a 'basal Eurasian' population that split before the diversification of other non-African lineages.

442 citations