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Brian E. Hemphill

Bio: Brian E. Hemphill is an academic researcher from University of Alaska Fairbanks. The author has contributed to research in topics: Population & Haplogroup. The author has an hindex of 10, co-authored 19 publications receiving 432 citations. Previous affiliations of Brian E. Hemphill include California State University & Vanderbilt University.

Papers
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Journal ArticleDOI
29 Jun 2018-Science
TL;DR: Analysis of ancient whole-genome sequences from across Inner Asia and Anatolia shows that the Botai people associated with the earliest horse husbandry derived from a hunter-gatherer population deeply diverged from the Yamnaya, and suggests distinct migrations bringing West Eurasian ancestry into South Asia before and after, but not at the time of, YamNaya culture.
Abstract: The Yamnaya expansions from the western steppe into Europe and Asia during the Early Bronze Age (~3000 BCE) are believed to have brought with them Indo-European languages and possibly horse husbandry. We analyze 74 ancient whole-genome sequences from across Inner Asia and Anatolia and show that the Botai people associated with the earliest horse husbandry derived from a hunter-gatherer population deeply diverged from the Yamnaya. Our results also suggest distinct migrations bringing West Eurasian ancestry into South Asia before and after but not at the time of Yamnaya culture. We find no evidence of steppe ancestry in Bronze Age Anatolia from when Indo-European languages are attested there. Thus, in contrast to Europe, Early Bronze Age Yamnaya-related migrations had limited direct genetic impact in Asia.

273 citations

Journal ArticleDOI
TL;DR: Results obtained by this analysis provide little support for either the steppe hypothesis or the Bactrian oasis hypothesis, but the pattern of phenetic affinities manifested by Bronze Age inhabitants of theTarim Basin suggests the presence of a population of unknown origin within the Tarim Basin during the early Bronze Age.
Abstract: Numerous Bronze Age cemeteries in the oases surrounding the Taklamakan Desert of the Tarim Basin in the Xinjiang Uyghur Autonomous Region, western China, have yielded both mummified and skeletal human remains. A dearth of local antecedents, coupled with woolen textiles and the apparent Western physical appearance of the population, raised questions as to where these people came from. Two hypotheses have been offered by archaeologists to account for the origins of Bronze Age populations of the Tarim Basin. These are the "steppe hypothesis" and the "Bactrian oasis hypothesis." Eight craniometric variables from 25 Aeneolithic and Bronze Age samples, comprising 1,353 adults from the Tarim Basin, the Russo-Kazakh steppe, southern China, Central Asia, Iran, and the Indus Valley, are compared to test which, if either, of these hypotheses are supported by the pattern of phenetic affinities possessed by Bronze Age inhabitants of the Tarim Basin. Craniometric differences between samples are compared with Mahalanobis generalized distance (d2), and patterns of phenetic affinity are assessed with two types of cluster analysis (the weighted pair average linkage method and the neighbor-joining method), multidimensional scaling, and principal coordinates analysis. Results obtained by this analysis provide little support for either the steppe hypothesis or the Bactrian oasis hypothesis. Rather, the pattern of phenetic affinities manifested by Bronze Age inhabitants of the Tarim Basin suggests the presence of a population of unknown origin within the Tarim Basin during the early Bronze Age. After 1200 B.C., this population experienced significant gene flow from highland populations of the Pamirs and Ferghana Valley. These highland populations may include those who later became known as the Saka and who may have served as "middlemen" facilitating contacts between East (Tarim Basin, China) and West (Bactria, Uzbekistan) along what later became known as the Great Silk Road.

67 citations

Journal Article
TL;DR: Cluster analysis of group-standardized odontometric mean parameter values indicates that Gujarati social groups, regardless of social status or caste adherence, are more similar to one another than to any other group included in this analysis and Gujarat social groups share closet affinities with geographically proximate social groups.
Abstract: Current knowledge of odontometric variation among the people of south Asia is limited, yet variation in tooth size has the potential to answer important questions regarding genetic relationships among contemporary social groups. Here, we report tooth crown diameters for 3 ethnic groups (Bhils, Garasias, Rajputs) from Gujarat State and contrast these data with 10 social groups from north, northwestern, northeastern, west-central, and south India. Univariate descriptive and inferential statistics are presented by group and by sex. Examination of crown diameters demonstrates that tooth size differs significantly between social groups in Gujarat. Cluster analysis of sex-standardized odontometric mean parameter values indicates that in apportionment of tooth size throughout the dentition low-status Garasias are slightly more similar to tribal Bhils than they are to high-status Rajputs. Principal components analysis by sex identifies three components that together account for 58.2% and 56.3% of the total variance among Gujarati females and males, respectively. These components are identified as overall size, a dimensional contrast between mesiodistal diameters and buccolingual diameters, and a dimensional contrast between mesiodistal diameters and buccolingual diameters among anterior teeth coupled with a contrast between anterior teeth (incisors, canines) and posterior teeth (premolars, molars). Ordination of group component scores indicates that (1) males and females of each social group exhibit a pattern of tooth size apportionment most similar to the opposite member of that same social group and (2) low-status Garasias exhibit a tooth size apportionment profile intermediate between tribal Bhils and high-status Rajputs. To place this pattern of odontometric variation among modern Gujaratis in larger perspective, data from Gujarati males were contrasted against males from 10 social groups from north, northwestern, northeastern, west-central, and south India. Cluster analysis of group-standardized odontometric mean parameter values indicates that (1) Gujarati social groups, regardless of social status or caste adherence, are more similar to one another than to any other group included in this analysis and (2) Gujarati social groups share closet affinities with geographically proximate social groups (Ahirs, Jats, Kunbis). Principal components analysis yields three components that combine to explain 64.0% of the total variance. These components are interpreted as a dimensional contrast among posterior teeth, a dimensional contrast among nonmolar teeth, and a contrast between anterior and posterior teeth. Ordination of group component scores indicates that tribal Bhils possess tooth size apportionment profiles that are different from other Indian tribal groups but are proximate to those found among Gujarati Hindu groups.(ABSTRACT TRUNCATED AT 400 WORDS)

32 citations

Journal ArticleDOI
TL;DR: Bio-behavioral insights derived from the analysis of dental trauma compliment inferences gleaned from more traditional approaches, including the study of dental attrition and dental morphology.
Abstract: Traumatic lesions of the dentition are rarely reported, while skeletal trauma constitutes a significant portion of the paleopathology literature. The purpose of this paper is to show how meticulous analysis of traumatic dental lesions can provide insights into patterns of behavior in prehistory. Two cases of dental trauma from prehistoric Pakistan illustrate some crucial problems in diagnosing the etiology of traumatic lesions. Bio-behavioral insights derived from the analysis of dental trauma compliment inferences gleaned from more traditional approaches, including the study of dental attrition and dental morphology. Language: en

24 citations

Journal ArticleDOI
TL;DR: The results indicate that these individuals most likely represent local elite inhabitants of Tepe Hissar, rather than the presence of an imposed foreign elite, although the conclusion must remain tentative.
Abstract: Discovery of a small number of individuals in the Period III necropolis at the large northern Iranian Bronze Age site of Tepe Hissar directly associated with a complex of imported artifacts raises the question of whether these individuals represent elites who had access to these exotic commodities, or an imposed foreign elite that may have brought these unusual artifacts from their homelands. The source of the atypical objects is believed to be the Oxus civilization of central Asia. This study investigates the identity of these individuals by employing canonical discriminant function analysis of 20 craniometric variables among 174 adult males from Tepe Hissar Period III and Oxus civilization males from Sapalli tepe and Djarkutan. Dicriminant function analysis provides a strong separation between Tepe Hissar Period III males and Oxus civilization males and a high level of correct assignation by sample (95.8%). Imposition of the five males associated with imported central Asian artifacts from the Period III necropolis indicates that the majority (4/5) are phenetically indistinguishable from other Period III Tepe Hissar males. The results indicate that these individuals most likely represent local elite inhabitants of Tepe Hissar, rather than the presence of an imposed foreign elite. However, given the scarcity of crucial specimens, especially females, and comparative skeletal series, this conclusion must remain tentative.

19 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

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 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 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 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, 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, 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
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
Vagheesh M. Narasimhan1, Nick Patterson2, Nick Patterson3, Priya Moorjani4, Nadin Rohland1, Nadin Rohland3, Rebecca Bernardos1, Swapan Mallick1, Swapan Mallick5, Swapan Mallick3, Iosif Lazaridis1, Nathan Nakatsuka1, Nathan Nakatsuka6, Iñigo Olalde1, Mark Lipson1, Alexander M. Kim1, Luca M. Olivieri, Alfredo Coppa7, Massimo Vidale8, James Mallory9, Vyacheslav Moiseyev10, Egor Kitov11, Egor Kitov10, Janet Monge12, Nicole Adamski1, Nicole Adamski5, Neel Alex4, Nasreen Broomandkhoshbacht5, Nasreen Broomandkhoshbacht1, Francesca Candilio13, Kimberly Callan1, Kimberly Callan5, Olivia Cheronet14, Olivia Cheronet13, Brendan J. Culleton15, Matthew Ferry5, Matthew Ferry1, Daniel Fernandes, Suzanne Freilich14, Beatriz Gamarra13, Daniel Gaudio13, Mateja Hajdinjak16, Eadaoin Harney1, Eadaoin Harney5, Thomas K. Harper15, Denise Keating13, Ann Marie Lawson5, Ann Marie Lawson1, Matthew Mah3, Matthew Mah1, Matthew Mah5, Kirsten Mandl14, Megan Michel1, Megan Michel5, Mario Novak13, Jonas Oppenheimer5, Jonas Oppenheimer1, Niraj Rai17, Niraj Rai18, Kendra Sirak19, Kendra Sirak1, Kendra Sirak13, Viviane Slon16, Kristin Stewardson1, Kristin Stewardson5, Fatma Zalzala5, Fatma Zalzala1, Zhao Zhang1, Gaziz Akhatov, Anatoly N. Bagashev, Alessandra Bagnera, Bauryzhan Baitanayev, Julio Bendezu-Sarmiento20, Arman A. Bissembaev, Gian Luca Bonora, T Chargynov21, T. A. Chikisheva10, Petr K. Dashkovskiy22, Anatoly P. Derevianko10, Miroslav Dobeš23, Katerina Douka16, Katerina Douka24, Nadezhda Dubova10, Meiram N. Duisengali, Dmitry Enshin, Andrey Epimakhov25, Alexey Fribus26, Dorian Q. Fuller27, Dorian Q. Fuller28, Alexander Goryachev, Andrey Gromov10, S. P. Grushin22, Bryan Hanks29, Margaret A. Judd29, Erlan Kazizov, Aleksander Khokhlov30, Aleksander P. Krygin, Elena Kupriyanova31, Pavel Kuznetsov30, Donata Luiselli32, Farhod Maksudov33, Aslan M. Mamedov, Talgat B. Mamirov, Christopher Meiklejohn34, Deborah C. Merrett35, Roberto Micheli, Oleg Mochalov30, Samariddin Mustafokulov33, Ayushi Nayak16, Davide Pettener32, Richard Potts36, Dmitry Razhev, Marina Petrovna Rykun37, Stefania Sarno32, Tatyana M. Savenkova, Kulyan Sikhymbaeva, Sergey Mikhailovich Slepchenko, Oroz A. Soltobaev21, Nadezhda Stepanova10, Svetlana V. Svyatko10, Svetlana V. Svyatko9, Kubatbek Tabaldiev, Maria Teschler-Nicola14, Maria Teschler-Nicola38, Alexey A. Tishkin22, Vitaly V. Tkachev, Sergey Vasilyev10, Petr Velemínský39, Dmitriy Voyakin, Antonina Yermolayeva, Muhammad Zahir40, Muhammad Zahir16, Valery S. Zubkov, A. V. Zubova10, Vasant Shinde41, Carles Lalueza-Fox42, Matthias Meyer16, David W. Anthony43, Nicole Boivin16, Kumarasamy Thangaraj17, Douglas J. Kennett15, Douglas J. Kennett44, Michael D. Frachetti45, Ron Pinhasi13, Ron Pinhasi14, David Reich 
06 Sep 2019-Science
TL;DR: It is shown that Steppe ancestry then integrated further south in the first half of the second millennium BCE, contributing up to 30% of the ancestry of modern groups in South Asia, supporting the idea that the archaeologically documented dispersal of domesticates was accompanied by the spread of people from multiple centers of domestication.
Abstract: By sequencing 523 ancient humans, we show that the primary source of ancestry in modern South Asians is a prehistoric genetic gradient between people related to early hunter-gatherers of Iran and Southeast Asia. After the Indus Valley Civilization's decline, its people mixed with individuals in the southeast to form one of the two main ancestral populations of South Asia, whose direct descendants live in southern India. Simultaneously, they mixed with descendants of Steppe pastoralists who, starting around 4000 years ago, spread via Central Asia to form the other main ancestral population. The Steppe ancestry in South Asia has the same profile as that in Bronze Age Eastern Europe, tracking a movement of people that affected both regions and that likely spread the distinctive features shared between Indo-Iranian and Balto-Slavic languages.

354 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a new archaeological synthesis concerning the earliest formation of mobile pastoralist economies across central Eurasia, arguing that Eurasian steppe pastoralism developed along distinct local trajectories in the western, central, and (south)eastern steppe, sparking the development of regional networks of interaction in the late fourth and third millennia BC.
Abstract: In this article I present a new archaeological synthesis concerning the earliest formation of mobile pastoralist economies across central Eurasia. I argue that Eurasian steppe pastoralism developed along distinct local trajectories in the western, central, and (south)eastern steppe, sparking the development of regional networks of interaction in the late fourth and third millennia BC. The “Inner Asian Mountain Corridor” exemplifies the relationship between such incipient regional networks and the process of economic change in the eastern steppe territory. The diverse regional innovations, technologies, and ideologies evident across Eurasia in the mid-third millennium BC are cast as the building blocks of a unique political economy shaped by “nonuniform” institutional alignments among steppe populations throughout the second millennium BC. This theoretical model illustrates how regional channels of interaction between distinct societies positioned Eurasian mobile pastoralists as key players in wide-scale i...

306 citations