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Daniel Corach

Bio: Daniel Corach is an academic researcher from University of Buenos Aires. The author has contributed to research in topics: Population & Haplogroup. The author has an hindex of 35, co-authored 139 publications receiving 6952 citations. Previous affiliations of Daniel Corach include National Scientific and Technical Research Council & Université libre de Bruxelles.


Papers
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Journal ArticleDOI
Iosif Lazaridis1, Iosif Lazaridis2, Nick Patterson1, Alissa Mittnik3, Gabriel Renaud4, Swapan Mallick2, Swapan Mallick1, 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 Rudan13, 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 Zalloua2, Pierre Zalloua57, Tatijana Zemunik58, Alan Cooper10, Cristian Capelli21, Mark G. Thomas41, Andres Ruiz-Linares41, 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 Reich1, David Reich2, David Reich64, Johannes Krause3, Johannes Krause4 
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, University of Edinburgh13, Sultan Qaboos University14, 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, Amgen40, University College London41, 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
18 Sep 2014-Nature
TL;DR: It is shown 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; and early European farmers, who were mainly of Near Eastern origin but also harboured west Europeanhunter-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.

1,077 citations

Journal ArticleDOI
TL;DR: It is suggested that Y-STR loci are useful markers to identify males and male lineages in forensic practice and recommended for the forensic application of a basic set of 7 STRs for standard Y-haplotyping in forensic and paternity casework.
Abstract: A multicenter study has been carried out to characterize 13 polymorphic short tandem repeat (STR) systems located on the male specific part of the human Y chromosome (DYS19, DYS288, DYS385, DYS388, DYS389I/II, DYS390, DYS391, DYS392, DYS393, YCAI, YCAII, YCAIII, DXYS156Y). Amplification parameters and electrophoresis protocols including multiplex approaches were compiled. The typing of non-recombining Y loci with uniparental inheritance requires special attention to population substructuring due to prevalent male lineages. To assess the extent of these subheterogeneities up to 3825 unrelated males were typed in up to 48 population samples for the respective loci. A consistent repeat based nomenclature for most of the loci has been introduced. Moreover we have estimated the average mutation rate for DYS19 in 626 confirmed father-son pairs as 3.2 × 10–3 (95% confidence interval limits of 0.00041–0.00677), a value which can also be expected for other Y-STR loci with similar repeat structure. Recommendations are given for the forensic application of a basic set of 7 STRs (DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393) for standard Y-haplotyping in forensic and paternity casework. We recommend further the inclusion of the highly polymorphic bilocal Y-STRs DYS385, YCAII, YCAIII for a nearly complete individualisation of almost any given unrelated male individual. Together, these results suggest that Y-STR loci are useful markers to identify males and male lineages in forensic practice.

766 citations

Journal ArticleDOI
David Reich1, David Reich2, Nick Patterson1, Desmond Campbell3, Desmond Campbell4, Arti Tandon2, Arti Tandon1, Stéphane Mazières5, Stéphane Mazières4, Nicolas Ray6, María Victoria Parra4, María Victoria Parra7, Winston Rojas4, Winston Rojas7, Constanza Duque7, Constanza Duque4, Natalia Mesa4, Natalia Mesa7, Luis F. García7, Omar Triana7, Silvia Blair7, Amanda Maestre7, Juan Carlos Dib, Claudio M. Bravi8, Claudio M. Bravi4, Graciela Bailliet8, Daniel Corach9, Tábita Hünemeier10, Tábita Hünemeier4, Maria Cátira Bortolini10, Francisco M. Salzano10, Maria Luiza Petzl-Erler11, Victor Acuña-Alonzo, Carlos A. Aguilar-Salinas, Samuel Canizales-Quinteros12, Teresa Tusié-Luna12, Laura Riba12, Maricela Rodríguez-Cruz13, Mardia López-Alarcón13, Ramón Mauricio Coral-Vázquez14, Thelma Canto-Cetina, Irma Silva-Zolezzi15, Juan Carlos Fernández-López, Alejandra V. Contreras, Gerardo Jimenez-Sanchez15, María José Gómez-Vázquez16, Julio Molina, Angel Carracedo17, Antonio Salas17, Carla Gallo18, Giovanni Poletti18, David B. Witonsky19, Gorka Alkorta-Aranburu19, Rem I. Sukernik20, Ludmila P. Osipova20, Sardana A. Fedorova, René Vasquez, Mercedes Villena, Claudia Moreau21, Ramiro Barrantes22, David L. Pauls2, Laurent Excoffier23, Laurent Excoffier24, Gabriel Bedoya7, Francisco Rothhammer25, Jean-Michel Dugoujon26, Georges Larrouy26, William Klitz27, Damian Labuda21, Judith R. Kidd28, Kenneth K. Kidd28, Anna Di Rienzo19, Nelson B. Freimer29, Alkes L. Price2, Alkes L. Price1, Andres Ruiz-Linares4 
16 Aug 2012-Nature
TL;DR: It is shown that the initial peopling followed a southward expansion facilitated by the coast, with sequential population splits and little gene flow after divergence, especially in South America.
Abstract: The peopling of the Americas has been the subject of extensive genetic, archaeological and linguistic research; however, central questions remain unresolved. One contentious issue is whether the settlement occurred by means of a single migration or multiple streams of migration from Siberia. The pattern of dispersals within the Americas is also poorly understood. To address these questions at a higher resolution than was previously possible, we assembled data from 52 Native American and 17 Siberian groups genotyped at 364,470 single nucleotide polymorphisms. Here we show that Native Americans descend from at least three streams of Asian gene flow. Most descend entirely from a single ancestral population that we call 'First American'. However, speakers of Eskimo-Aleut languages from the Arctic inherit almost half their ancestry from a second stream of Asian gene flow, and the Na-Dene-speaking Chipewyan from Canada inherit roughly one-tenth of their ancestry from a third stream. We show that the initial peopling followed a southward expansion facilitated by the coast, with sequential population splits and little gene flow after divergence, especially in South America. A major exception is in Chibchan speakers on both sides of the Panama isthmus, who have ancestry from both North and South America.

696 citations

Iosif Lazaridis1, Iosif Lazaridis2, Nick Patterson2, Alissa Mittnik3, Gabriel Renaud4, Swapan Mallick1, Swapan Mallick2, Karola Kirsanow5, Peter H. Sudmant6, Joshua G. Schraiber7, Joshua G. Schraiber6, Sergi Castellano4, Mark Lipson8, Bonnie Berger2, Bonnie Berger8, Christos Economou9, Ruth Bollongino5, Qiaomei Fu4, Kirsten I. Bos3, Susanne Nordenfelt2, Susanne Nordenfelt1, Heng Li2, Heng Li1, Cesare de Filippo4, Kay Prüfer4, Susanna Sawyer4, Cosimo Posth3, Wolfgang Haak10, Fredrik Hallgren11, Elin Fornander11, Nadin Rohland2, Nadin Rohland1, 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 Rudan13, Ruslan Ruizbakiev49, Hovhannes Sahakyan38, Hovhannes Sahakyan50, 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 Zalloua1, Pierre Zalloua57, Tatijana Zemunik58, Alan Cooper10, Cristian Capelli21, Mark G. Thomas40, Andres Ruiz-Linares40, Sarah A. Tishkoff59, Lalji Singh60, Kumarasamy Thangaraj61, Richard Villems38, Richard Villems62, Richard Villems43, 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 Krause3, Johannes Krause4 
Harvard University1, Broad Institute2, 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, University of Edinburgh13, Sultan Qaboos University14, 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 Chile47, University of Tarapacá48, 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

Journal ArticleDOI
TL;DR: The chromosome Y STRs seem to be very useful in comparing closely related populations which cannot probably be separated by e.g. autosomal STRs, but in order to be used in an evolutionary context they need to be combined with more stable Y-polymorphisms e.
Abstract: By means of a multicenter study, a large number of males have been characterized for Y-chromosome specific short tandem repeats (STRs) or microsatellites. A complete summary of the allele frequency distributions for these Y-STRs is presented in the Appendix. This manuscript describes in more detail some of the population genetic and evolutionary aspects for a restricted set of seven chromosome Y STRs in a selected number of population samples. For all the chromosome Y STRs markedly different region-specific allele frequency distributions were observed, also when closely related populations were compared. Haplotype analyses using AMOVA showed that when four different European male groups (Germans, Dutch, Swiss, Italians) were compared, less than 10% of the total genetic variability was due to differences between these populations. Nevertheless, these pairwise comparisons revealed significant differences between most population pairs. Assuming a step-wise mutation model and a mutation frequency of 0.21%, it was estimated that chromosome Y STR-based evolutionary lines of descent can be reliably inferred over a time-span of only 1950 generations (or about 49000 years). This reduces the reliability of the inference of population affinities to a historical, rather than evolutionary time scale. This is best illustrated by the construction of a human evolutionary tree based on chromosome Y STRs in which most of the branches connect in a markedly different way compared with trees based on classical protein polymorphisms and/or mtDNA sequence variation. Thus, the chromosome Y STRs seem to be very useful in comparing closely related populations which cannot probably be separated by e.g. autosomal STRs. However, in order to be used in an evolutionary context they need to be combined with more stable Y-polymorphisms e.g. base-substitutions.

344 citations


Cited by
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Journal Article
Fumio Tajima1
30 Oct 1989-Genomics
TL;DR: It is suggested that the natural selection against large insertion/deletion is so weak that a large amount of variation is maintained in a population.

11,521 citations

Journal ArticleDOI
TL;DR: Some of the key events in the peopling of the world in the light of the findings of work on ancient DNA are reviewed.
Abstract: Ancient DNA research is revealing a human history far more complex than that inferred from parsimonious models based on modern DNA. Here, we review some of the key events in the peopling of the world in the light of the findings of work on ancient DNA.

1,365 citations

Journal ArticleDOI
11 Jun 2015-Nature
TL;DR: In this paper, the authors generated genome-wide data from 69 Europeans who lived between 8,000-3,000 years ago by enriching ancient DNA libraries for a target set of almost 400,000 polymorphisms.
Abstract: We generated genome-wide data from 69 Europeans who lived between 8,000-3,000 years ago by enriching ancient DNA libraries for a target set of almost 400,000 polymorphisms. Enrichment of these positions decreases the sequencing required for genome-wide ancient DNA analysis by a median of around 250-fold, allowing us to study an order of magnitude more individuals than previous studies and to obtain new insights about the past. We show that the populations of Western and Far Eastern Europe followed opposite trajectories between 8,000-5,000 years ago. At the beginning of the Neolithic period in Europe, ∼8,000-7,000 years ago, closely related groups of early farmers appeared in Germany, Hungary and Spain, different from indigenous hunter-gatherers, whereas Russia was inhabited by a distinctive population of hunter-gatherers with high affinity to a ∼24,000-year-old Siberian. By ∼6,000-5,000 years ago, farmers throughout much of Europe had more hunter-gatherer ancestry than their predecessors, but in Russia, the Yamnaya steppe herders of this time were descended not only from the preceding eastern European hunter-gatherers, but also from a population of Near Eastern ancestry. Western and Eastern Europe came into contact ∼4,500 years ago, as the Late Neolithic Corded Ware people from Germany traced ∼75% of their ancestry to the Yamnaya, documenting a massive migration into the heartland of Europe from its eastern periphery. This steppe ancestry persisted in all sampled central Europeans until at least ∼3,000 years ago, and is ubiquitous in present-day Europeans. These results provide support for a steppe origin of at least some of the Indo-European languages of Europe.

1,332 citations

Journal ArticleDOI
TL;DR: The finding of a recent common ancestor (probably in the last 120,000 years), coupled with a strong signal of demographic expansion in all populations, suggests either a recent human expansion from a small ancestral population, or natural selection acting on the Y chromosome.
Abstract: We use variation at a set of eight human Y chromosome microsatellite loci to investigate the demographic history of the Y chromosome. Instead of assuming a population of constant size, as in most of the previous work on the Y chromosome, we consider a model which permits a period of recent population growth. We show that for most of the populations in our sample this model fits the data far better than a model with no growth. We estimate the demographic parameters of this model for each population and also the time to the most recent common ancestor. Since there is some uncertainty about the details of the microsatellite mutation process, we consider several plausible mutation schemes and estimate the variance in mutation size simultaneously with the demographic parameters of interest. Our finding of a recent common ancestor (probably in the last 120,000 years), coupled with a strong signal of demographic expansion in all populations, suggests either a recent human expansion from a small ancestral population, or natural selection acting on the Y chromosome.

1,135 citations

Journal ArticleDOI
11 Jun 2015-Nature
TL;DR: It is shown that the Bronze Age was a highly dynamic period involving large-scale population migrations and replacements, responsible for shaping major parts of present-day demographic structure in both Europe and Asia.
Abstract: The Bronze Age of Eurasia (around 3000-1000 BC) was a period of major cultural changes. However, there is debate about whether these changes resulted from the circulation of ideas or from human migrations, potentially also facilitating the spread of languages and certain phenotypic traits. We investigated this by using new, improved methods to sequence low-coverage genomes from 101 ancient humans from across Eurasia. We show that the Bronze Age was a highly dynamic period involving large-scale population migrations and replacements, responsible for shaping major parts of present-day demographic structure in both Europe and Asia. Our findings are consistent with the hypothesized spread of Indo-European languages during the Early Bronze Age. We also demonstrate that light skin pigmentation in Europeans was already present at high frequency in the Bronze Age, but not lactose tolerance, indicating a more recent onset of positive selection on lactose tolerance than previously thought.

1,088 citations