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1. Meeting the global protein supply requirements of a growing and ageing population

Author: Smith, Kieran, Watson, Anthony W, Lonnie, Marta, Peeters, Wouter M, Oonincx, Dennis, Tsoutsoura, Niki, Simon-Miquel, Genis, Szepe, Kamil, Cochetel, Noriane, Pearson, Alice G, Witard, Oliver C, Salter, Andrew M, Bennett, Malcom, and Corfe, Bernard M.
Published: 2024
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2. The selection landscape and genetic legacy of ancient Eurasians

Author: Irving-Pease, Evan K, Refoyo-Martínez, Alba, Barrie, William, Ingason, Andrés, Pearson, Alice, Fischer, Anders, Sjögren, Karl-Göran, Halgren, Alma S, Macleod, Ruairidh, Demeter, Fabrice, Henriksen, Rasmus A, Vimala, Tharsika, McColl, Hugh, Vaughn, Andrew H, Speidel, Leo, Stern, Aaron J, Scorrano, Gabriele, Ramsøe, Abigail, Schork, Andrew J, Rosengren, Anders, Zhao, Lei, Kristiansen, Kristian, Iversen, Astrid KN, Fugger, Lars, Sudmant, Peter H, Lawson, Daniel J, Durbin, Richard, Korneliussen, Thorfinn, Werge, Thomas, Allentoft, Morten E, Sikora, Martin, Nielsen, Rasmus, Racimo, Fernando, and Willerslev, Eske
Subjects: Biological Sciences, Genetics, History, Heritage and Archaeology, Human Society, Archaeology, Historical Studies, Anthropology, Good Health and Well Being, Humans, Alzheimer Disease, Affect, Alleles, Agriculture, Europe, General Science & Technology
Abstract: The Holocene (beginning around 12,000 years ago) encompassed some of the most significant changes in human evolution, with far-reaching consequences for the dietary, physical and mental health of present-day populations. Using a dataset of more than 1,600 imputed ancient genomes1, we modelled the selection landscape during the transition from hunting and gathering, to farming and pastoralism across West Eurasia. We identify key selection signals related to metabolism, including that selection at the FADS cluster began earlier than previously reported and that selection near the LCT locus predates the emergence of the lactase persistence allele by thousands of years. We also find strong selection in the HLA region, possibly due to increased exposure to pathogens during the Bronze Age. Using ancient individuals to infer local ancestry tracts in over 400,000 samples from the UK Biobank, we identify widespread differences in the distribution of Mesolithic, Neolithic and Bronze Age ancestries across Eurasia. By calculating ancestry-specific polygenic risk scores, we show that height differences between Northern and Southern Europe are associated with differential Steppe ancestry, rather than selection, and that risk alleles for mood-related phenotypes are enriched for Neolithic farmer ancestry, whereas risk alleles for diabetes and Alzheimer's disease are enriched for Western hunter-gatherer ancestry. Our results indicate that ancient selection and migration were large contributors to the distribution of phenotypic diversity in present-day Europeans.
Published: 2024

3. Elevated genetic risk for multiple sclerosis emerged in steppe pastoralist populations

Author: Barrie, William, Yang, Yaoling, Irving-Pease, Evan K, Attfield, Kathrine E, Scorrano, Gabriele, Jensen, Lise Torp, Armen, Angelos P, Dimopoulos, Evangelos Antonios, Stern, Aaron, Refoyo-Martinez, Alba, Pearson, Alice, Ramsøe, Abigail, Gaunitz, Charleen, Demeter, Fabrice, Jørkov, Marie Louise S, Møller, Stig Bermann, Springborg, Bente, Klassen, Lutz, Hyldgård, Inger Marie, Wickmann, Niels, Vinner, Lasse, Korneliussen, Thorfinn Sand, Allentoft, Morten E, Sikora, Martin, Kristiansen, Kristian, Rodriguez, Santiago, Nielsen, Rasmus, Iversen, Astrid KN, Lawson, Daniel J, Fugger, Lars, and Willerslev, Eske
Subjects: Biological Sciences, Genetics, History, Heritage and Archaeology, Archaeology, Historical Studies, Neurosciences, Autoimmune Disease, Multiple Sclerosis, Brain Disorders, Neurodegenerative, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Neurological, Humans, Neurodegenerative Diseases, Cluster Analysis, Population Density, Child, Preschool, Europe, General Science & Technology
Abstract: Multiple sclerosis (MS) is a neuro-inflammatory and neurodegenerative disease that is most prevalent in Northern Europe. Although it is known that inherited risk for MS is located within or in close proximity to immune-related genes, it is unknown when, where and how this genetic risk originated1. Here, by using a large ancient genome dataset from the Mesolithic period to the Bronze Age2, along with new Medieval and post-Medieval genomes, we show that the genetic risk for MS rose among pastoralists from the Pontic steppe and was brought into Europe by the Yamnaya-related migration approximately 5,000 years ago. We further show that these MS-associated immunogenetic variants underwent positive selection both within the steppe population and later in Europe, probably driven by pathogenic challenges coinciding with changes in diet, lifestyle and population density. This study highlights the critical importance of the Neolithic period and Bronze Age as determinants of modern immune responses and their subsequent effect on the risk of developing MS in a changing environment.
Published: 2024

4. 100 ancient genomes show repeated population turnovers in Neolithic Denmark

Author: Allentoft, Morten E, Sikora, Martin, Fischer, Anders, Sjögren, Karl-Göran, Ingason, Andrés, Macleod, Ruairidh, Rosengren, Anders, Schulz Paulsson, Bettina, Jørkov, Marie Louise Schjellerup, Novosolov, Maria, Stenderup, Jesper, Price, T Douglas, Fischer Mortensen, Morten, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Sørensen, Lasse, Nielsen, Poul Otto, Rasmussen, Peter, Jensen, Theis Zetner Trolle, Refoyo-Martínez, Alba, Irving-Pease, Evan K, Barrie, William, Pearson, Alice, Sousa da Mota, Bárbara, Demeter, Fabrice, Henriksen, Rasmus A, Vimala, Tharsika, McColl, Hugh, Vaughn, Andrew, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Johannsen, Niels Nørkjær, Ramsøe, Abigail Daisy, Schork, Andrew Joseph, Ruter, Anthony, Gotfredsen, Anne Birgitte, Henning Nielsen, Bjarne, Brinch Petersen, Erik, Kannegaard, Esben, Hansen, Jesper, Buck Pedersen, Kristoffer, Pedersen, Lisbeth, Klassen, Lutz, Meldgaard, Morten, Johansen, Morten, Uldum, Otto Christian, Lotz, Per, Lysdahl, Per, Bangsgaard, Pernille, Petersen, Peter Vang, Maring, Rikke, Iversen, Rune, Wåhlin, Sidsel, Anker Sørensen, Søren, Andersen, Søren H, Jørgensen, Thomas, Lynnerup, Niels, Lawson, Daniel J, Rasmussen, Simon, Korneliussen, Thorfinn Sand, Kjær, Kurt H, Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Kristiansen, Kristian, and Willerslev, Eske
Subjects: Biological Sciences, Genetics, History, Heritage and Archaeology, Human Society, Archaeology, Historical Studies, Anthropology, Humans, Genomics, Genotype, Denmark, Emigrants and Immigrants, Scandinavians and Nordic People, General Science & Technology
Abstract: Major migration events in Holocene Eurasia have been characterized genetically at broad regional scales1-4. However, insights into the population dynamics in the contact zones are hampered by a lack of ancient genomic data sampled at high spatiotemporal resolution5-7. Here, to address this, we analysed shotgun-sequenced genomes from 100 skeletons spanning 7,300 years of the Mesolithic period, Neolithic period and Early Bronze Age in Denmark and integrated these with proxies for diet (13C and 15N content), mobility (87Sr/86Sr ratio) and vegetation cover (pollen). We observe that Danish Mesolithic individuals of the Maglemose, Kongemose and Ertebølle cultures form a distinct genetic cluster related to other Western European hunter-gatherers. Despite shifts in material culture they displayed genetic homogeneity from around 10,500 to 5,900 calibrated years before present, when Neolithic farmers with Anatolian-derived ancestry arrived. Although the Neolithic transition was delayed by more than a millennium relative to Central Europe, it was very abrupt and resulted in a population turnover with limited genetic contribution from local hunter-gatherers. The succeeding Neolithic population, associated with the Funnel Beaker culture, persisted for only about 1,000 years before immigrants with eastern Steppe-derived ancestry arrived. This second and equally rapid population replacement gave rise to the Single Grave culture with an ancestry profile more similar to present-day Danes. In our multiproxy dataset, these major demographic events are manifested as parallel shifts in genotype, phenotype, diet and land use.
Published: 2024

5. Population genomics of post-glacial western Eurasia

Author: Allentoft, Morten E, Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan K, Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Sousa da Mota, Bárbara, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Jørkov, Marie Louise Schjellerup, Demeter, Fabrice, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus A, Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Fischer Mortensen, Morten, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Johannsen, Niels Nørkjær, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Jensen, Theis Zetner Trolle, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey A, Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders J, Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Henning Nielsen, Bjarne, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona J, Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri V, Cuenca-Solana, David, Lordkipanidze, David O, En’shin, Dmitri, Salazar-García, Domingo C, Price, T Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta V, Usmanova, Emma R, Cappellini, Enrico, Brinch Petersen, Erik, Kannegaard, Esben, Radina, Francesca, Eylem Yediay, Fulya, Duday, Henri, Gutiérrez-Zugasti, Igor, Merts, Ilya, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Aura Tortosa, Joan Emili, Zilhão, João, Vega, Jorge, Buck Pedersen, Kristoffer, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila N, Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, and Silvestrini, Mara
Subjects: Biological Sciences, Genetics, History, Heritage and Archaeology, Human Society, Historical Studies, Anthropology, Biotechnology, Humans, Genomics, Diploidy, Agriculture, Europe, Metagenomics, General Science & Technology
Abstract: Western Eurasia witnessed several large-scale human migrations during the Holocene1-5. Here, to investigate the cross-continental effects of these migrations, we shotgun-sequenced 317 genomes-mainly from the Mesolithic and Neolithic periods-from across northern and western Eurasia. These were imputed alongside published data to obtain diploid genotypes from more than 1,600 ancient humans. Our analyses revealed a 'great divide' genomic boundary extending from the Black Sea to the Baltic. Mesolithic hunter-gatherers were highly genetically differentiated east and west of this zone, and the effect of the neolithization was equally disparate. Large-scale ancestry shifts occurred in the west as farming was introduced, including near-total replacement of hunter-gatherers in many areas, whereas no substantial ancestry shifts happened east of the zone during the same period. Similarly, relatedness decreased in the west from the Neolithic transition onwards, whereas, east of the Urals, relatedness remained high until around 4,000 BP, consistent with the persistence of localized groups of hunter-gatherers. The boundary dissolved when Yamnaya-related ancestry spread across western Eurasia around 5,000 BP, resulting in a second major turnover that reached most parts of Europe within a 1,000-year span. The genetic origin and fate of the Yamnaya have remained elusive, but we show that hunter-gatherers from the Middle Don region contributed ancestry to them. Yamnaya groups later admixed with individuals associated with the Globular Amphora culture before expanding into Europe. Similar turnovers occurred in western Siberia, where we report new genomic data from a 'Neolithic steppe' cline spanning the Siberian forest steppe to Lake Baikal. These prehistoric migrations had profound and lasting effects on the genetic diversity of Eurasian populations.
Published: 2024

6. Management strategies and contributory factors for resistance exercise-induced muscle damage : an exploration of dietary protein, exercise load, and sex

Author: Pearson, Alice Grace
Abstract: The World Health Organisation recommends that resistance exercise be performed at least twice per week to benefit general health and wellbeing. However, resistance exercise is associated with acute muscle damage that potentially can dampen muscle adaptations promoted by chronic resistance training. The extent to which muscle is damaged by exercise is influenced by various factors, including age, training status, exercise type, and - notable to this thesis - sex. To this end, establishing sex-specific management strategies for exercise-induced muscle damage (EIMD) is important to optimise the benefits of exercise. Two EIMD management strategies were focussed on in this thesis: dietary protein supplementation and exercise load manipulation. It was identified in this thesis that research into the impact both of protein supplementation and exercise load on EIMD heavily underrepresent female populations (chapters 3 and 5), despite well-documented sex differences in EIMD responses. Therefore, future research priority should be placed on bridging the sex data gap by conducting high-quality studies centralising around female-focussed and sex-comparative methodological designs. Both peri-exercise protein supplementation and exercise load manipulation in favour of lighter loads were revealed to be effective management strategies for resistance EIMD in males through systematic and scoping review of the current literature (chapters 3 and 5, respectively). Due to a lack of data from females, it is only appropriate for these strategies to be recommended for males at present. To decipher whether protein supplementation and lower exercise loads are beneficial for managing EIMD in females, a randomised controlled trial (RCT) (chapter 4) and a protocol for an RCT (chapter 6) involving male and female participants are presented in this thesis. The incorporation of ecologically-valid resistance exercise in the RCT in chapter 4 highlighted that even mild muscle damage is attenuated in females, reflected in diminished increases in post-exercise creatine kinase concentration and muscle soreness compared with males; however, the reason for this difference requires further investigation. This study, while supporting sex differences, contrasted previous studies, as neither males nor females experienced an attenuation of EIMD during milk protein supplementation. This difference likely owed to the lower severity of muscle damage induced in the current study relative to previous studies, and accordingly, future research should seek to discover alternative management strategies for mild EIMD. A protocol for an RCT examining the impact of exercise load on EIMD in untrained males and females is described in Chapter 6 of this thesis and may be used as guidance for researchers developing similar, sex-comparative studies. It was hypothesised that females will experience attenuated muscle damage relative to males and low-load exercise will induce less muscle damage than high-load exercise in both sexes. A lack of methodological consistency among EIMD studies was a recurring finding throughout this thesis, which posed an issue when attempting to compare between-study outcomes and reach a consensus. Achieving greater uniformity in study designs by adopting comparable methods relating to EIMD markers and time-points of assessment would help improve understanding of the factors influencing the magnitude of EIMD and effective management strategies. While there are limitations with several EIMD markers - for example the variability of biomarkers and subjectivity of perceptual assessments - once the optimal markers are determined, these should be consistently used moving forward. Overall, this thesis has contributed to the current body of knowledge by demonstrating that milk protein ingestion is not an effective management strategy for muscle damage following ecologically-valid resistance exercise; therefore, alternative strategies to mitigate mild muscle damage should be investigated. Further, this work supported previous reports of sex differences in EIMD and indicated that the attenuation of EIMD in females relative to males was not attributed to sex differences in body composition; thus, the aetiology of such differences necessitates further exploration by means of high-quality sex comparative research. Finally, this thesis reached the consensus recommendation that lower exercise loads can be utilised to reduce muscle damage in males; nonetheless, supporting evidence for the application of this recommendation to females is required.
Published: 2023

7. Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations

Author: Lauterbur, M Elise, Cavassim, Maria Izabel A, Gladstein, Ariella L, Gower, Graham, Pope, Nathaniel S, Tsambos, Georgia, Adrion, Jeffrey, Belsare, Saurabh, Biddanda, Arjun, Caudill, Victoria, Cury, Jean, Echevarria, Ignacio, Haller, Benjamin C, Hasan, Ahmed R, Huang, Xin, Iasi, Leonardo Nicola Martin, Noskova, Ekaterina, Obsteter, Jana, Pavinato, Vitor Antonio Correa, Pearson, Alice, Peede, David, Perez, Manolo F, Rodrigues, Murillo F, Smith, Chris CR, Spence, Jeffrey P, Teterina, Anastasia, Tittes, Silas, Unneberg, Per, Vazquez, Juan Manuel, Waples, Ryan K, Wohns, Anthony Wilder, Wong, Yan, Baumdicker, Franz, Cartwright, Reed A, Gorjanc, Gregor, Gutenkunst, Ryan N, Kelleher, Jerome, Kern, Andrew D, Ragsdale, Aaron P, Ralph, Peter L, Schrider, Daniel R, and Gronau, Ilan
Subjects: Genetics, Biotechnology, Human Genome, Generic health relevance, Software, Computer Simulation, Genome, Genetics, Population, Genomics, population genetics, simulations, open source, None, genetics, genomics, none, Biochemistry and Cell Biology
Abstract: Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic datasets remains a major obstacle. Today, more realistic simulations are possible thanks to large increases in the quantity and quality of available genetic data, and the sophistication of inference and simulation software. However, implementing these simulations still requires substantial time and specialized knowledge. These challenges are especially pronounced for simulating genomes for species that are not well-studied, since it is not always clear what information is required to produce simulations with a level of realism sufficient to confidently answer a given question. The community-developed framework stdpopsim seeks to lower this barrier by facilitating the simulation of complex population genetic models using up-to-date information. The initial version of stdpopsim focused on establishing this framework using six well-characterized model species (Adrion et al., 2020). Here, we report on major improvements made in the new release of stdpopsim (version 0.2), which includes a significant expansion of the species catalog and substantial additions to simulation capabilities. Features added to improve the realism of the simulated genomes include non-crossover recombination and provision of species-specific genomic annotations. Through community-driven efforts, we expanded the number of species in the catalog more than threefold and broadened coverage across the tree of life. During the process of expanding the catalog, we have identified common sticking points and developed the best practices for setting up genome-scale simulations. We describe the input data required for generating a realistic simulation, suggest good practices for obtaining the relevant information from the literature, and discuss common pitfalls and major considerations. These improvements to stdpopsim aim to further promote the use of realistic whole-genome population genetic simulations, especially in non-model organisms, making them available, transparent, and accessible to everyone.
Published: 2023

8. Ancestral paths : redefining local genetic ancestry and its inference with application to Europeans

Author: Pearson, Alice, Durbin, Richard, and Willerslev, Eske
Subjects: Population genetics, Ancient DNA, Mesolithic, Neolithic, Bronze age, Local ancestry
Abstract: Recently, two new approaches have transformed our understanding of human population history. Firstly, the sequencing of ancient genomes which gives us a snapshot of past genetic variation. We can therefore make inferences from observed genetic signatures present before historical events such as population bottlenecks and natural selection have obscured them from the modern gene pool. Ancient DNA has thus revealed what cannot be determined from modern genomes alone. Secondly, the development of methods that aim to reconstruct population genealogies from genetic variation data. Together with an understanding of how evolutionary processes alter genealogies, this has allowed inference of historical and ongoing processes in real world populations. The latest updates in these approaches now allow us to combine the two and infer genealogies involving both present-day and ancient individuals. In this thesis I present a new method to infer local ancestry along sample chromosomes. The method applies machine learning to tree sequences built from ancient and present-day genomes and is based on a deterministic model of population structure, within which I introduce the concept of 'path ancestry'. I show with extensive simulation that the method is robust to a variety of demographic scenarios and generalises over model misspecification. Subsequent downstream analyses include estimating past effective population size, timing of population specific selection and the time since admixture for individuals. I apply the method to a large ancient DNA dataset covering Europe and West Eurasia to paint all sample chromosomes. I show that the inferred admixture ages are a better metric than sample ages alone for understanding movements of people across Europe in the past.
Published: 2022
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9. The impact of dietary protein supplementation on recovery from resistance exercise-induced muscle damage: A systematic review with meta-analysis

Author: Pearson, Alice G., Hind, Karen, and Macnaughton, Lindsay S.
Published: 2023
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10. Publisher Correction: Population genomics of post-glacial western Eurasia

Author: Allentoft, Morten E., Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan K., Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Sousa da Mota, Bárbara, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Jørkov, Marie Louise Schjellerup, Demeter, Fabrice, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus A., Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Fischer Mortensen, Morten, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Johannsen, Niels Nørkjær, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Jensen, Theis Zetner Trolle, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey A., Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders J., Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Henning Nielsen, Bjarne, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona J., Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri V., Cuenca-Solana, David, Lordkipanidze, David O., En’shin, Dmitri, Salazar-García, Domingo C., Price, T. Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta V., Usmanova, Emma R., Cappellini, Enrico, Brinch Petersen, Erik, Kannegaard, Esben, Radina, Francesca, Eylem Yediay, Fulya, Duday, Henri, Gutiérrez-Zugasti, Igor, Merts, Ilya, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Aura Tortosa, Joan Emili, Zilhão, João, Vega, Jorge, Buck Pedersen, Kristoffer, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila N., Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina S., Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai A., Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga V., Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, de Barros Damgaard, Peter, Vang Petersen, Peter, Martinez, Pilar Prieto, Włodarczak, Piotr, Smolyaninov, Roman V., Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren H., Jørgensen, Thomas, Serikov, Yuri B., Molodin, Vyacheslav I., Smrcka, Vaclav, Merts, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson, Yvonne, Kjær, Kurt H., Lynnerup, Niels, Lawson, Daniel J., Sudmant, Peter H., Rasmussen, Simon, Korneliussen, Thorfinn Sand, Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, and Willerslev, Eske
Published: 2024
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11. Top three ways to add value

Author: Pearson, Caleb and Pearson, Alice
Published: 2024

12. Right team, right dream

Author: Pearson, Caleb and Pearson, Alice
Published: 2024

13. Finding hidden treasures

Author: Pearson, Caleb and Pearson, Alice
Published: 2024

14. The discipline of economics : performativity and personhood in undergraduate economics education

Author: Pearson, Alice and Sanchez, Andrew
Subjects: 330.071, Social Anthropology, History of Economics, Higher Education, Finance, Capitalism, Personhood, Economics Education, Economic Anthropology
Published: 2020
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15. The discipline of economics: ambivalent epistemologies and the foreclosure of critique in elite economics education.

Author: Pearson, Alice
Subjects: *ECONOMICS education, *ELITISM in education, *STUDENT ethics, *FORECLOSURE, UNDERGRADUATE education
Abstract: This article interrogates relations between dual senses of economics as ‘discipline’: as a form of knowledge and as a form of training. Scholars have suggested that economics performatively brings homo economicus into being. Yet this has been often posited as a singular figure, while eclipsing the unequal forms of personhood and sociality it instantiates. Through ethnography of elite undergraduate economics education in the United Kingdom, I ask how the ‘representative agents’ of homo economicus are considered ‘representative’, and how they relate to the forms of ‘agency’ that students cultivate. I argue that ambivalent epistemologies in economics oscillate between a‐realism and what I term ‘brutal realism’, which appeals to epistemic prowess yet normalizes the partial perspective of a detached elite masculinity. Students are encouraged to foreclose critique to stabilize these unstable models; thus the multiplicity of representative agents paradoxically contributes to their traction. Meanwhile, students cultivate ethics of efficiency that facilitate this wilful blindness, shaping their trajectories into finance. I demonstrate that the authority of economics emerges through distinct affective, pedagogical, and epistemological forms, and there are multiple mirrors between these forms and the content of economics education. [ABSTRACT FROM AUTHOR]
Published: 2024
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16. Use what you've got

Author: Pearson, Caleb and Pearson, Alice
Published: 2023

17. Publisher Correction: Population genomics of post-glacial western Eurasia (Nature, (2024), 625, 7994, (301-311), 10.1038/s41586-023-06865-0)

Author: Allentoft, Morten, Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan, Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Sousa da Mota, Bárbara, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Schjellerup Jørkov, Marie Louise, Demeter, Fabrice, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus, Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Mortensen, Morten Fischer, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Johannsen, Niels Nørkjær, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Jensen, Theis, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey, Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders, Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Nielsen, Bjarne Henning, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona, Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri, Cuenca-Solana, David, Lordkipanidze, David, En’shin, Dmitri, Salazar-García, Domingo, Price, Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta, Usmanova, Emma, Cappellini, Enrico, Petersen, Erik Brinch, Kannegaard, Esben, Radina, Francesca, Yediay, Fulya Eylem, Duday, Henri, Gutiérrez-Zugasti, Igor, Merts, Ilya, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Aura Tortosa, Joan Emili, Zilhão, João, Vega, Jorge, Buck Pedersen, Kristoffer, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila, Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina, Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai, Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga, Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, Damgaard, Peter de Barros, Petersen, Peter Vang, Prieto Martínez, Pilar, Włodarczak, Piotr, Smolyaninov, Roman, Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren, Jørgensen, Thomas, Serikov, Yuri, Molodin, Vyacheslav, Smrcka, Vaclav, Merts, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson,Yvonne, Kjær, Kurt, Lynnerup, Niels, Lawson, Daniel, Sudmant, Peter, Rasmussen, Simon, Korneliussen, Thorfinn Sand, Durbin, Richard, Nielsen, Rasmus, Delanea, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, Willerslev, Eske, Allentoft, Morten, Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan, Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Sousa da Mota, Bárbara, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Schjellerup Jørkov, Marie Louise, Demeter, Fabrice, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus, Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Mortensen, Morten Fischer, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Johannsen, Niels Nørkjær, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Jensen, Theis, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey, Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders, Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Nielsen, Bjarne Henning, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona, Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri, Cuenca-Solana, David, Lordkipanidze, David, En’shin, Dmitri, Salazar-García, Domingo, Price, Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta, Usmanova, Emma, Cappellini, Enrico, Petersen, Erik Brinch, Kannegaard, Esben, Radina, Francesca, Yediay, Fulya Eylem, Duday, Henri, Gutiérrez-Zugasti, Igor, Merts, Ilya, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Aura Tortosa, Joan Emili, Zilhão, João, Vega, Jorge, Buck Pedersen, Kristoffer, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila, Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina, Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai, Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga, Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, Damgaard, Peter de Barros, Petersen, Peter Vang, Prieto Martínez, Pilar, Włodarczak, Piotr, Smolyaninov, Roman, Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren, Jørgensen, Thomas, Serikov, Yuri, Molodin, Vyacheslav, Smrcka, Vaclav, Merts, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson,Yvonne, Kjær, Kurt, Lynnerup, Niels, Lawson, Daniel, Sudmant, Peter, Rasmussen, Simon, Korneliussen, Thorfinn Sand, Durbin, Richard, Nielsen, Rasmus, Delanea, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, and Willerslev, Eske
Abstract: In the version of this article initially published, there were errors in the second affiliations for Levon Yepiskoposyan (Russian-Armenian University, Yerevan, Armenia) and Sergey Vasilyev (Center for Egyptological Studies, Russian Academy of Sciences, Moscow, Russian Federation), and in the first affiliation for Ruben Badalyan (Institute of Archaeology and Ethnography, National Academy of Sciences, Yerevan, Armenia); the affiliations are amended in the HTML and PDF versions of the article.
Published: 2024

18. Population genomics of post-glacial western Eurasia

Author: Allentoft, Morten E., Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan K., Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl Göran, Pearson, Alice, Sousa da Mota, Bárbara, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Jørkov, Marie Louise Schjellerup, Demeter, Fabrice, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus A., Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Fischer Mortensen, Morten, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Johannsen, Niels Nørkjær, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Jensen, Theis Zetner Trolle, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey A., Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders J., Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Henning Nielsen, Bjarne, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona J., Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri V., Cuenca-Solana, David, Lordkipanidze, David O., En’shin, Dmitri, Salazar-García, Domingo C., Price, T. Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta V., Usmanova, Emma R., Cappellini, Enrico, Brinch Petersen, Erik, Kannegaard, Esben, Radina, Francesca, Eylem Yediay, Fulya, Duday, Henri, Gutiérrez-Zugasti, Igor, Merts, Ilya, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Aura Tortosa, Joan Emili, Zilhão, João, Vega, Jorge, Buck Pedersen, Kristoffer, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila N., Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina S., Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai A., Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga V., Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, de Barros Damgaard, Peter, Vang Petersen, Peter, Martinez, Pilar Prieto, Włodarczak, Piotr, Smolyaninov, Roman V., Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren H., Jørgensen, Thomas, Serikov, Yuri B., Molodin, Vyacheslav I., Smrcka, Vaclav, Merts, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson, Yvonne, Kjær, Kurt H., Lynnerup, Niels, Lawson, Daniel J., Sudmant, Peter H., Rasmussen, Simon, Korneliussen, Thorfinn Sand, Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, Willerslev, Eske, Allentoft, Morten E., Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan K., Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl Göran, Pearson, Alice, Sousa da Mota, Bárbara, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Jørkov, Marie Louise Schjellerup, Demeter, Fabrice, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus A., Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Fischer Mortensen, Morten, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Johannsen, Niels Nørkjær, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Jensen, Theis Zetner Trolle, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey A., Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders J., Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Henning Nielsen, Bjarne, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona J., Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri V., Cuenca-Solana, David, Lordkipanidze, David O., En’shin, Dmitri, Salazar-García, Domingo C., Price, T. Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta V., Usmanova, Emma R., Cappellini, Enrico, Brinch Petersen, Erik, Kannegaard, Esben, Radina, Francesca, Eylem Yediay, Fulya, Duday, Henri, Gutiérrez-Zugasti, Igor, Merts, Ilya, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Aura Tortosa, Joan Emili, Zilhão, João, Vega, Jorge, Buck Pedersen, Kristoffer, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila N., Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina S., Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai A., Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga V., Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, de Barros Damgaard, Peter, Vang Petersen, Peter, Martinez, Pilar Prieto, Włodarczak, Piotr, Smolyaninov, Roman V., Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren H., Jørgensen, Thomas, Serikov, Yuri B., Molodin, Vyacheslav I., Smrcka, Vaclav, Merts, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson, Yvonne, Kjær, Kurt H., Lynnerup, Niels, Lawson, Daniel J., Sudmant, Peter H., Rasmussen, Simon, Korneliussen, Thorfinn Sand, Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, and Willerslev, Eske
Abstract: Western Eurasia witnessed several large-scale human migrations during the Holocene1–5. Here, to investigate the cross-continental effects of these migrations, we shotgun-sequenced 317 genomes—mainly from the Mesolithic and Neolithic periods—from across northern and western Eurasia. These were imputed alongside published data to obtain diploid genotypes from more than 1,600 ancient humans. Our analyses revealed a ‘great divide’ genomic boundary extending from the Black Sea to the Baltic. Mesolithic hunter-gatherers were highly genetically differentiated east and west of this zone, and the effect of the neolithization was equally disparate. Large-scale ancestry shifts occurred in the west as farming was introduced, including near-total replacement of hunter-gatherers in many areas, whereas no substantial ancestry shifts happened east of the zone during the same period. Similarly, relatedness decreased in the west from the Neolithic transition onwards, whereas, east of the Urals, relatedness remained high until around 4,000 bp, consistent with the persistence of localized groups of hunter-gatherers. The boundary dissolved when Yamnaya-related ancestry spread across western Eurasia around 5,000 bp, resulting in a second major turnover that reached most parts of Europe within a 1,000-year span. The genetic origin and fate of the Yamnaya have remained elusive, but we show that hunter-gatherers from the Middle Don region contributed ancestry to them. Yamnaya groups later admixed with individuals associated with the Globular Amphora culture before expanding into Europe. Similar turnovers occurred in western Siberia, where we report new genomic data from a ‘Neolithic steppe’ cline spanning the Siberian forest steppe to Lake Baikal. These prehistoric migrations had profound and lasting effects on the genetic diversity of Eurasian populations.
Published: 2024

19. 100 ancient genomes show repeated population turnovers in Neolithic Denmark

Author: Allentoft, Morten E., Sikora, Martin, Fischer, Anders, Sjögren, Karl Göran, Ingason, Andrés, Macleod, Ruairidh, Rosengren, Anders, Schulz Paulsson, Bettina, Jørkov, Marie Louise Schjellerup, Novosolov, Maria, Stenderup, Jesper, Price, T. Douglas, Fischer Mortensen, Morten, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Sørensen, Lasse, Nielsen, Poul Otto, Rasmussen, Peter, Jensen, Theis Zetner Trolle, Refoyo-Martínez, Alba, Irving-Pease, Evan K., Barrie, William, Pearson, Alice, Sousa da Mota, Bárbara, Demeter, Fabrice, Henriksen, Rasmus A., Vimala, Tharsika, McColl, Hugh, Vaughn, Andrew, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Johannsen, Niels Nørkjær, Ramsøe, Abigail Daisy, Schork, Andrew Joseph, Ruter, Anthony, Gotfredsen, Anne Birgitte, Henning Nielsen, Bjarne, Brinch Petersen, Erik, Kannegaard, Esben, Hansen, Jesper, Buck Pedersen, Kristoffer, Pedersen, Lisbeth, Klassen, Lutz, Meldgaard, Morten, Johansen, Morten, Uldum, Otto Christian, Lotz, Per, Lysdahl, Per, Bangsgaard, Pernille, Petersen, Peter Vang, Maring, Rikke, Iversen, Rune, Wåhlin, Sidsel, Anker Sørensen, Søren, Andersen, Søren H., Jørgensen, Thomas, Lynnerup, Niels, Lawson, Daniel J., Rasmussen, Simon, Korneliussen, Thorfinn Sand, Kjær, Kurt H., Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Kristiansen, Kristian, Willerslev, Eske, Allentoft, Morten E., Sikora, Martin, Fischer, Anders, Sjögren, Karl Göran, Ingason, Andrés, Macleod, Ruairidh, Rosengren, Anders, Schulz Paulsson, Bettina, Jørkov, Marie Louise Schjellerup, Novosolov, Maria, Stenderup, Jesper, Price, T. Douglas, Fischer Mortensen, Morten, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Sørensen, Lasse, Nielsen, Poul Otto, Rasmussen, Peter, Jensen, Theis Zetner Trolle, Refoyo-Martínez, Alba, Irving-Pease, Evan K., Barrie, William, Pearson, Alice, Sousa da Mota, Bárbara, Demeter, Fabrice, Henriksen, Rasmus A., Vimala, Tharsika, McColl, Hugh, Vaughn, Andrew, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Johannsen, Niels Nørkjær, Ramsøe, Abigail Daisy, Schork, Andrew Joseph, Ruter, Anthony, Gotfredsen, Anne Birgitte, Henning Nielsen, Bjarne, Brinch Petersen, Erik, Kannegaard, Esben, Hansen, Jesper, Buck Pedersen, Kristoffer, Pedersen, Lisbeth, Klassen, Lutz, Meldgaard, Morten, Johansen, Morten, Uldum, Otto Christian, Lotz, Per, Lysdahl, Per, Bangsgaard, Pernille, Petersen, Peter Vang, Maring, Rikke, Iversen, Rune, Wåhlin, Sidsel, Anker Sørensen, Søren, Andersen, Søren H., Jørgensen, Thomas, Lynnerup, Niels, Lawson, Daniel J., Rasmussen, Simon, Korneliussen, Thorfinn Sand, Kjær, Kurt H., Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Kristiansen, Kristian, and Willerslev, Eske
Abstract: Major migration events in Holocene Eurasia have been characterized genetically at broad regional scales1–4. However, insights into the population dynamics in the contact zones are hampered by a lack of ancient genomic data sampled at high spatiotemporal resolution5–7. Here, to address this, we analysed shotgun-sequenced genomes from 100 skeletons spanning 7,300 years of the Mesolithic period, Neolithic period and Early Bronze Age in Denmark and integrated these with proxies for diet (13C and 15N content), mobility (87Sr/86Sr ratio) and vegetation cover (pollen). We observe that Danish Mesolithic individuals of the Maglemose, Kongemose and Ertebølle cultures form a distinct genetic cluster related to other Western European hunter-gatherers. Despite shifts in material culture they displayed genetic homogeneity from around 10,500 to 5,900 calibrated years before present, when Neolithic farmers with Anatolian-derived ancestry arrived. Although the Neolithic transition was delayed by more than a millennium relative to Central Europe, it was very abrupt and resulted in a population turnover with limited genetic contribution from local hunter-gatherers. The succeeding Neolithic population, associated with the Funnel Beaker culture, persisted for only about 1,000 years before immigrants with eastern Steppe-derived ancestry arrived. This second and equally rapid population replacement gave rise to the Single Grave culture with an ancestry profile more similar to present-day Danes. In our multiproxy dataset, these major demographic events are manifested as parallel shifts in genotype, phenotype, diet and land use.
Published: 2024

20. Population genomics of post-glacial western Eurasia

Author: Lundbeck Foundation, Novo Nordisk Foundation, Wellcome Trust, Carlsberg Foundation, Danish National Research Foundation, University of Copenhagen, Ferring Pharmaceuticals, Swedish Foundation for Humanities and Social Sciences, Villum Fonden, Independent Research Fund Denmark, Hanne and Torkel Weis-Fogh Fund, Wellcome, Swiss National Science Foundation, European Research Council, Aarhus University Research Foundation, Ministry of Education and Science (Kazakhstan), Ministerio de Economía y Competitividad (España), Ministero dell'Istruzione, dell'Università e della Ricerca, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Generalitat Valenciana, Nomis Foundation, European Commission, Ministry of Science and Higher Education of the Russian Federation, Ministry of Education, Science, Culture and Sports of the Republic of Armenia, National Institute of General Medical Sciences (US), Sikora, Martin [0000-0003-2818-8319], Lalueza-Fox, Carles [0000-0002-1730-5914], Allentoft, Morten, Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan K., Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Mota, Bárbara Sousa da, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Jørkov, Marie Louise S., Demeter, Fabrice, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus A., Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Fischer Mortensen, Morten, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Johannsen, Niels Nørkjær, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Trolle Jensen, Theis Zetner, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey A., Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana María, Hansen, Anders J., Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Nielsen, Bjarne Henning, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona J., Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martínez-Labarga, Cristina, Pozdnyakov, Dmitri V., Cuenca-Solana, David, Lordkipanidze, David O., En’shin, Dmitri, Salazar García, Domingo Carlos, Price, T. Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta V., Usmanova, Emma R., Cappellini, Enrico, Petersen, Erik Brinch, Kannegaard, Esben, Radina, Francesca, Yediay, Fulya Eylem, Duday, Henri, Gutiérrez-Zugasti, Igor, Merts, Ilya, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Aura Tortosa, Joan Emili, Zilhão, João, Vega, Jorge, Pedersen, Kristoffer Buck, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila N., Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina S., Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai A., Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga V., Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, Barros Damgaard, Peter de, Petersen, Peter Vang, Prieto Martínez, Pilar, Włodarczak, Piotr, Smolyaninov, Roman V., Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren H., Jørgensen, Thomas, Serikov, Yuri B., Molodin, Vyacheslav I., Smrcka, Vaclav, Merts, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson, Yvonne, Kjær, Kurt H., Lynnerup, Niels, Lawson, Daniel J., Sudmant, Peter H., Rasmussen, Simon, Korneliussen, Thorfinn Sand, Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, Willerslev, Eske, Lundbeck Foundation, Novo Nordisk Foundation, Wellcome Trust, Carlsberg Foundation, Danish National Research Foundation, University of Copenhagen, Ferring Pharmaceuticals, Swedish Foundation for Humanities and Social Sciences, Villum Fonden, Independent Research Fund Denmark, Hanne and Torkel Weis-Fogh Fund, Wellcome, Swiss National Science Foundation, European Research Council, Aarhus University Research Foundation, Ministry of Education and Science (Kazakhstan), Ministerio de Economía y Competitividad (España), Ministero dell'Istruzione, dell'Università e della Ricerca, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Generalitat Valenciana, Nomis Foundation, European Commission, Ministry of Science and Higher Education of the Russian Federation, Ministry of Education, Science, Culture and Sports of the Republic of Armenia, National Institute of General Medical Sciences (US), Sikora, Martin [0000-0003-2818-8319], Lalueza-Fox, Carles [0000-0002-1730-5914], Allentoft, Morten, Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan K., Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Mota, Bárbara Sousa da, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Jørkov, Marie Louise S., Demeter, Fabrice, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus A., Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Fischer Mortensen, Morten, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Johannsen, Niels Nørkjær, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Trolle Jensen, Theis Zetner, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey A., Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana María, Hansen, Anders J., Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Nielsen, Bjarne Henning, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona J., Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martínez-Labarga, Cristina, Pozdnyakov, Dmitri V., Cuenca-Solana, David, Lordkipanidze, David O., En’shin, Dmitri, Salazar García, Domingo Carlos, Price, T. Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta V., Usmanova, Emma R., Cappellini, Enrico, Petersen, Erik Brinch, Kannegaard, Esben, Radina, Francesca, Yediay, Fulya Eylem, Duday, Henri, Gutiérrez-Zugasti, Igor, Merts, Ilya, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Aura Tortosa, Joan Emili, Zilhão, João, Vega, Jorge, Pedersen, Kristoffer Buck, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila N., Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina S., Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai A., Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga V., Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, Barros Damgaard, Peter de, Petersen, Peter Vang, Prieto Martínez, Pilar, Włodarczak, Piotr, Smolyaninov, Roman V., Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren H., Jørgensen, Thomas, Serikov, Yuri B., Molodin, Vyacheslav I., Smrcka, Vaclav, Merts, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson, Yvonne, Kjær, Kurt H., Lynnerup, Niels, Lawson, Daniel J., Sudmant, Peter H., Rasmussen, Simon, Korneliussen, Thorfinn Sand, Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, and Willerslev, Eske
Abstract: Western Eurasia witnessed several large-scale human migrations during the Holocene1,2,3,4,5. Here, to investigate the cross-continental effects of these migrations, we shotgun-sequenced 317 genomes—mainly from the Mesolithic and Neolithic periods—from across northern and western Eurasia. These were imputed alongside published data to obtain diploid genotypes from more than 1,600 ancient humans. Our analyses revealed a ‘great divide’ genomic boundary extending from the Black Sea to the Baltic. Mesolithic hunter-gatherers were highly genetically differentiated east and west of this zone, and the effect of the neolithization was equally disparate. Large-scale ancestry shifts occurred in the west as farming was introduced, including near-total replacement of hunter-gatherers in many areas, whereas no substantial ancestry shifts happened east of the zone during the same period. Similarly, relatedness decreased in the west from the Neolithic transition onwards, whereas, east of the Urals, relatedness remained high until around 4,000 BP, consistent with the persistence of localized groups of hunter-gatherers. The boundary dissolved when Yamnaya-related ancestry spread across western Eurasia around 5,000 BP, resulting in a second major turnover that reached most parts of Europe within a 1,000-year span. The genetic origin and fate of the Yamnaya have remained elusive, but we show that hunter-gatherers from the Middle Don region contributed ancestry to them. Yamnaya groups later admixed with individuals associated with the Globular Amphora culture before expanding into Europe. Similar turnovers occurred in western Siberia, where we report new genomic data from a ‘Neolithic steppe’ cline spanning the Siberian forest steppe to Lake Baikal. These prehistoric migrations had profound and lasting effects on the genetic diversity of Eurasian populations.
Published: 2024

21. Population genomics of post-glacial western Eurasia

Author: Allentoft, Morten, Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan, Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Sousa da Mota, Bárbara, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Schjellerup Jørkov, Marie Louise, Demeter, Fabrice, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus, Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Mortensen, Morten Fischer, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Johannsen, Niels Nørkjær, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Jensen, Theis, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey, Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders, Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Nielsen, Bjarne Henning, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona, Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri, Cuenca-Solana, David, Lordkipanidze, David, En’shin, Dmitri, Salazar-García, Domingo, Price, Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta, Usmanova, Emma, Cappellini, Enrico, Petersen, Erik Brinch, Kannegaard, Esben, Radina, Francesca, Yediay, Fulya Eylem, Duday, Henri, Gutiérrez-Zugasti, Igor, Merts, Ilya, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Aura Tortosa, Joan Emili, Zilhão, João, Vega, Jorge, Buck Pedersen, Kristoffer, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila, Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina, Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai, Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga, Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, Damgaard, Peter de Barros, Petersen, Peter Vang, Prieto Martínez, Pilar, Włodarczak, Piotr, Smolyaninov, Roman, Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren, Jørgensen, Thomas, Serikov, Yuri, Molodin, Vyacheslav, Smrcka, Vaclav, Merts, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson,Yvonne, Kjær, Kurt, Lynnerup, Niels, Lawson, Daniel, Sudmant, Peter, Rasmussen, Simon, Korneliussen, Thorfinn Sand, Durbin, Richard, Nielsen, Rasmus, Delanea, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, Willerslev, Eske, Allentoft, Morten, Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan, Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Sousa da Mota, Bárbara, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Schjellerup Jørkov, Marie Louise, Demeter, Fabrice, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus, Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Mortensen, Morten Fischer, Nielsen, Anne Birgitte, Ulfeldt Hede, Mikkel, Johannsen, Niels Nørkjær, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Jensen, Theis, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey, Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders, Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Nielsen, Bjarne Henning, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona, Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri, Cuenca-Solana, David, Lordkipanidze, David, En’shin, Dmitri, Salazar-García, Domingo, Price, Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta, Usmanova, Emma, Cappellini, Enrico, Petersen, Erik Brinch, Kannegaard, Esben, Radina, Francesca, Yediay, Fulya Eylem, Duday, Henri, Gutiérrez-Zugasti, Igor, Merts, Ilya, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Aura Tortosa, Joan Emili, Zilhão, João, Vega, Jorge, Buck Pedersen, Kristoffer, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila, Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina, Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai, Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga, Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, Damgaard, Peter de Barros, Petersen, Peter Vang, Prieto Martínez, Pilar, Włodarczak, Piotr, Smolyaninov, Roman, Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren, Jørgensen, Thomas, Serikov, Yuri, Molodin, Vyacheslav, Smrcka, Vaclav, Merts, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson,Yvonne, Kjær, Kurt, Lynnerup, Niels, Lawson, Daniel, Sudmant, Peter, Rasmussen, Simon, Korneliussen, Thorfinn Sand, Durbin, Richard, Nielsen, Rasmus, Delanea, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, and Willerslev, Eske
Abstract: Western Eurasia witnessed several large-scale human migrations during the Holocene1–5. Here, to investigate the cross-continental effects of these migrations, we shotgun-sequenced 317 genomes—mainly from the Mesolithic and Neolithic periods— from across northern and western Eurasia. These were imputed alongside published data to obtain diploid genotypes from more than 1,600 ancient humans. Our analyses revealed a ‘great divide’ genomic boundary extending from the Black Sea to the Baltic. Mesolithic hunter-gatherers were highly genetically differentiated east and west of this zone, and the effect of the neolithization was equally disparate. Large-scale ancestry shifts occurred in the west as farming was introduced, including near-total replacement of hunter-gatherers in many areas, whereas no substantial ancestry shifts happened east of the zone during the same period. Similarly, relatedness decreased in the west from the Neolithic transition onwards, whereas, east of the Urals, relatedness remained high until around 4,000 bp, consistent with the persistence of localized groups of hunter-gatherers. The boundary dissolved when Yamnaya-related ancestry spread across western Eurasia around 5,000 bp, resulting in a second major turnover that reached most parts of Europe within a 1,000-year span. The genetic origin and fate of the Yamnaya have remained elusive, but we show that hunter-gatherers from the Middle Don region contributed ancestry to them. Yamnaya groups later admixed with individuals associated with the Globular Amphora culture before expanding into Europe. Similar turnovers occurred in western Siberia, where we report new genomic data from a ‘Neolithic steppe’ cline spanning the Siberian forest steppe to Lake Baikal. These prehistoric migrations had profound and lasting effects on the genetic diversity of Eurasian populations.
Published: 2024

22. A hypoenergetic diet with decreased protein intake does not reduce lean body mass in trained females

Author: Pearson, Alice G., Alexander, Lee, Witard, Oliver C., Coughlin, Thomas E., Tipton, Kevin D., and Walshe, Ian H.
Published: 2021
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23. Consuming Education

Author: Pearson, Alice, Geelan, Torsten, editor, González Hernando, Marcos, editor, and Walsh, Peter William, editor
Published: 2018
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24. Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations

Author: Lauterbur, M Elise, primary, Cavassim, Maria Izabel A, additional, Gladstein, Ariella L, additional, Gower, Graham, additional, Pope, Nathaniel S, additional, Tsambos, Georgia, additional, Adrion, Jeffrey, additional, Belsare, Saurabh, additional, Biddanda, Arjun, additional, Caudill, Victoria, additional, Cury, Jean, additional, Echevarria, Ignacio, additional, Haller, Benjamin C, additional, Hasan, Ahmed R, additional, Huang, Xin, additional, Iasi, Leonardo Nicola Martin, additional, Noskova, Ekaterina, additional, Obsteter, Jana, additional, Pavinato, Vitor Antonio Correa, additional, Pearson, Alice, additional, Peede, David, additional, Perez, Manolo F, additional, Rodrigues, Murillo F, additional, Smith, Chris CR, additional, Spence, Jeffrey P, additional, Teterina, Anastasia, additional, Tittes, Silas, additional, Unneberg, Per, additional, Vazquez, Juan Manuel, additional, Waples, Ryan K, additional, Wohns, Anthony Wilder, additional, Wong, Yan, additional, Baumdicker, Franz, additional, Cartwright, Reed A, additional, Gorjanc, Gregor, additional, Gutenkunst, Ryan N, additional, Kelleher, Jerome, additional, Kern, Andrew D, additional, Ragsdale, Aaron P, additional, Ralph, Peter L, additional, Schrider, Daniel R, additional, and Gronau, Ilan, additional
Published: 2023
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25. Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations

Author: Lauterbur, M. Elise, primary, Cavassim, Maria Izabel A., additional, Gladstein, Ariella L., additional, Gower, Graham, additional, Pope, Nathaniel S., additional, Tsambos, Georgia, additional, Adrion, Jeff, additional, Belsare, Saurabh, additional, Biddanda, Arjun, additional, Caudill, Victoria, additional, Cury, Jean, additional, Echevarria, Ignacio, additional, Haller, Benjamin C., additional, Hasan, Ahmed R., additional, Huang, Xin, additional, Iasi, Leonardo Nicola Martin, additional, Noskova, Ekaterina, additional, Obšteter, Jana, additional, Pavinato, Vitor Antonio Corrêa, additional, Pearson, Alice, additional, Peede, David, additional, Perez, Manolo F., additional, Rodrigues, Murillo F., additional, Smith, Chris C. R., additional, Spence, Jeffrey P., additional, Teterina, Anastasia, additional, Tittes, Silas, additional, Unneberg, Per, additional, Vazquez, Juan Manuel, additional, Waples, Ryan K., additional, Wohns, Anthony Wilder, additional, Wong, Yan, additional, Baumdicker, Franz, additional, Cartwright, Reed A., additional, Gorjanc, Gregor, additional, Gutenkunst, Ryan N., additional, Kelleher, Jerome, additional, Kern, Andrew D., additional, Ragsdale, Aaron P., additional, Ralph, Peter L., additional, Schrider, Daniel R., additional, and Gronau, Ilan, additional
Published: 2023
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26. Local Ancestry Inference for Complex Population Histories

Author: Pearson, Alice, primary and Durbin, Richard, additional
Published: 2023
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27. Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations

Author: Lauterbur, M. Elise, Cavassim, Maria Izabel A., Gladstein, Ariella L., Gower, Graham, Pope, Nathaniel S., Tsambos, Georgia, Adrion, Jeffrey, Belsare, Saurabh, Biddanda, Arjun, Caudill, Victoria, Cury, Jean, Echevarria, Ignacio, Haller, Benjamin C., Hasan, Ahmed R., Huang, Xin, Iasi, Leonardo Nicola Martin, Noskova, Ekaterina, Obsteter, Jana, Pavinato, Vitor Antonio Correa, Pearson, Alice, Peede, David, Perez, Manolo F., Rodrigues, Murillo F., Smith, Chris C. R., Spence, Jeffrey P., Teterina, Anastasia, Tittes, Silas, Unneberg, Per, Vazquez, Juan Manuel, Waples, Ryan K., Wohns, Anthony Wilder, Wong, Yan, Baumdicker, Franz, Cartwright, Reed A., Gorjanc, Gregor, Gutenkunst, Ryan N., Kelleher, Jerome, Kern, Andrew D., Ragsdale, Aaron P., Ralph, Peter L., Schrider, Daniel R., Gronau, Ilan, Lauterbur, M. Elise, Cavassim, Maria Izabel A., Gladstein, Ariella L., Gower, Graham, Pope, Nathaniel S., Tsambos, Georgia, Adrion, Jeffrey, Belsare, Saurabh, Biddanda, Arjun, Caudill, Victoria, Cury, Jean, Echevarria, Ignacio, Haller, Benjamin C., Hasan, Ahmed R., Huang, Xin, Iasi, Leonardo Nicola Martin, Noskova, Ekaterina, Obsteter, Jana, Pavinato, Vitor Antonio Correa, Pearson, Alice, Peede, David, Perez, Manolo F., Rodrigues, Murillo F., Smith, Chris C. R., Spence, Jeffrey P., Teterina, Anastasia, Tittes, Silas, Unneberg, Per, Vazquez, Juan Manuel, Waples, Ryan K., Wohns, Anthony Wilder, Wong, Yan, Baumdicker, Franz, Cartwright, Reed A., Gorjanc, Gregor, Gutenkunst, Ryan N., Kelleher, Jerome, Kern, Andrew D., Ragsdale, Aaron P., Ralph, Peter L., Schrider, Daniel R., and Gronau, Ilan
Abstract: Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic datasets remains a major obstacle. Today, more realistic simulations are possible thanks to large increases in the quantity and quality of available genetic data, and the sophistication of inference and simulation software. However, implementing these simulations still requires substantial time and specialized knowledge. These challenges are especially pronounced for simulating genomes for species that are not well-studied, since it is not always clear what information is required to produce simulations with a level of realism sufficient to confidently answer a given question. The community-developed framework stdpopsim seeks to lower this barrier by facilitating the simulation of complex population genetic models using up-to-date information. The initial version of stdpopsim focused on establishing this framework using six well-characterized model species (Adrion et al., 2020). Here, we report on major improvements made in the new release of stdpopsim (version 0.2), which includes a significant expansion of the species catalog and substantial additions to simulation capabilities. Features added to improve the realism of the simulated genomes include non-crossover recombination and provision of species-specific genomic annotations. Through community-driven efforts, we expanded the number of species in the catalog more than threefold and broadened coverage across the tree of life. During the process of expanding the catalog, we have identified common sticking points and developed the best practices for setting up genome-scale simulations. We describe the input data required for generating a realistic simulation, suggest good practices for obtaining the relevant information from the literature, and discuss common pitfalls and major considerations. These improvements to stdpopsim aim to further pro
Published: 2023
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28. "Inga-Play!" The Memoirs of Inga Hoegsbro Christensen, Pianist and Leading Exponent of Scandinavian and Finnish Music in America Molly Winston Pearson Alice Randall Peggy London Inga Hoegsbro Christensen

Author: Villanyi, Charlotte
Published: 1953
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29. Milk Protein Ingestion does not Enhance Recovery from Muscle-Damaging Resistance Exercise in Untrained Males and Females: A Randomised Controlled Trial

Author: Pearson, Alice Grace, primary, Macnaughton, Lindsay Sheila, additional, and Hind, Karen, additional
Published: 2023
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30. The impact of COVID-19 on the assessment and management of ectopic pregnancies

Author: Chung, Bethany, primary, Greene, Charlotte, additional, Pearson, Alice, additional, Starrs, Lisa M, additional, and Colin Duncan, W, additional
Published: 2023
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31. Ancestral Paths: Redefining local genetic ancestry and its inference with application to Europeans

Author: Pearson, Alice
Subjects: Bronze age, Ancient DNA, Population genetics, Local ancestry, Neolithic, Mesolithic
Abstract: Recently, two new approaches have transformed our understanding of human population history. Firstly, the sequencing of ancient genomes which gives us a snapshot of past genetic variation. We can therefore make inferences from observed genetic signatures present before historical events such as population bottlenecks and natural selection have obscured them from the modern gene pool. Ancient DNA has thus revealed what cannot be determined from modern genomes alone. Secondly, the development of methods that aim to reconstruct population genealogies from genetic variation data. Together with an understanding of how evolutionary processes alter genealogies, this has allowed inference of historical and ongoing processes in real world populations. The latest updates in these approaches now allow us to combine the two and infer genealogies involving both present-day and ancient individuals. In this thesis I present a new method to infer local ancestry along sample chromosomes. The method applies machine learning to tree sequences built from ancient and present-day genomes and is based on a deterministic model of population structure, within which I introduce the concept of ‘path ancestry’. I show with extensive simulation that the method is robust to a variety of demographic scenarios and generalises over model misspecification. Subsequent downstream analyses include estimating past effective population size, timing of population specific selection and the time since admixture for individuals. I apply the method to a large ancient DNA dataset covering Europe and West Eurasia to paint all sample chromosomes. I show that the inferred admixture ages are a better metric than sample ages alone for understanding movements of people across Europe in the past.
Published: 2023
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32. Best ways to boost value

Author: Pearson, Alice and Pearson, Caleb
Published: 2019

33. Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations

Author: Lauterbur, M. Elise, primary, Cavassim, Maria Izabel A., additional, Gladstein, Ariella L., additional, Gower, Graham, additional, Pope, Nathaniel S., additional, Tsambos, Georgia, additional, Adrion, Jeff, additional, Belsare, Saurabh, additional, Biddanda, Arjun, additional, Caudill, Victoria, additional, Cury, Jean, additional, Echevarria, Ignacio, additional, Haller, Benjamin C., additional, Hasan, Ahmed R., additional, Huang, Xin, additional, Iasi, Leonardo Nicola Martin, additional, Noskova, Ekaterina, additional, Obšteter, Jana, additional, Pavinato, Vitor Antonio Corrêa, additional, Pearson, Alice, additional, Peede, David, additional, Perez, Manolo F., additional, Rodrigues, Murillo F., additional, Smith, Chris C. R., additional, Spence, Jeffrey P., additional, Teterina, Anastasia, additional, Tittes, Silas, additional, Unneberg, Per, additional, Vazquez, Juan Manuel, additional, Waples, Ryan K., additional, Wohns, Anthony Wilder, additional, Wong, Yan, additional, Baumdicker, Franz, additional, Cartwright, Reed A., additional, Gorjanc, Gregor, additional, Gutenkunst, Ryan N., additional, Kelleher, Jerome, additional, Kern, Andrew D., additional, Ragsdale, Aaron P., additional, Ralph, Peter L., additional, Schrider, Daniel R., additional, and Gronau, Ilan, additional
Published: 2022
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34. Sex differences in the impact of resistance exercise load on muscle damage: A protocol for a randomised parallel group trial

Author: Pearson, Alice G., primary, Macnaughton, Lindsay S., additional, and Hind, Karen, additional
Published: 2022
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35. The Selection Landscape and Genetic Legacy of Ancient Eurasians

Author: Irving-Pease, Evan K., primary, Refoyo-Martínez, Alba, additional, Ingason, Andrés, additional, Pearson, Alice, additional, Fischer, Anders, additional, Barrie, William, additional, Sjögren, Karl-Göran, additional, Halgren, Alma S., additional, Macleod, Ruairidh, additional, Demeter, Fabrice, additional, Henriksen, Rasmus A., additional, Vimala, Tharsika, additional, McColl, Hugh, additional, Vaughn, Andrew, additional, Stern, Aaron J., additional, Speidel, Leo, additional, Scorrano, Gabriele, additional, Ramsøe, Abigail, additional, Schork, Andrew J., additional, Rosengren, Anders, additional, Zhao, Lei, additional, Kristiansen, Kristian, additional, Sudmant, Peter H., additional, Lawson, Daniel J., additional, Durbin, Richard, additional, Korneliussen, Thorfinn, additional, Werge, Thomas, additional, Allentoft, Morten E., additional, Sikora, Martin, additional, Nielsen, Rasmus, additional, Racimo, Fernando, additional, and Willerslev, Eske, additional
Published: 2022
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36. The Selection Landscape and Genetic Legacy of Ancient Eurasians

Author: Irving-Pease, Evan, Refoyo Martínez, Alba, Ingason, Andrés, Pearson, Alice, Fischer, Anders, Barrie, William, Sjögren, Karl-Göran, Halgren, Alma S., Macleod, Ruairidh, Demeter, Fabrice, Henriksen, Rasmus Henrik Amund, Vimala, Tharsika, McColl, Hugh, Vaughn, Andrew, Stern, Aaron J., Speidel, Leo, Scorrano, Gabriele, Ramsøe, Abigail, Schork, Andrew J., Rosengren, Anders, Zhao, Lei, Kristiansen, Kristian, Sudmant, Peter H., Lawson, Daniel J., Durbin, Richard, Korneliussen, Thorfinn, Werge, Thomas, Allentoft, Morten E., Sikora, Martin, Nielsen, Rasmus, Racimo, Fernando, Willerslev, Eske, Irving-Pease, Evan, Refoyo Martínez, Alba, Ingason, Andrés, Pearson, Alice, Fischer, Anders, Barrie, William, Sjögren, Karl-Göran, Halgren, Alma S., Macleod, Ruairidh, Demeter, Fabrice, Henriksen, Rasmus Henrik Amund, Vimala, Tharsika, McColl, Hugh, Vaughn, Andrew, Stern, Aaron J., Speidel, Leo, Scorrano, Gabriele, Ramsøe, Abigail, Schork, Andrew J., Rosengren, Anders, Zhao, Lei, Kristiansen, Kristian, Sudmant, Peter H., Lawson, Daniel J., Durbin, Richard, Korneliussen, Thorfinn, Werge, Thomas, Allentoft, Morten E., Sikora, Martin, Nielsen, Rasmus, Racimo, Fernando, and Willerslev, Eske
Abstract: The Eurasian Holocene (beginning c. 12 thousand years ago) encompassed some of the most significant changes in human evolution, with far-reaching consequences for the dietary, physical and mental health of present-day populations. Using an imputed dataset of >1600 complete ancient genome sequences, and new computational methods for locating selection in time and space, we reconstructed the selection landscape of the transition from hunting and gathering, to farming and pastoralism across West Eurasia. We identify major selection signals related to metabolism, possibly associated with the dietary shift occurring in this period. We show that the selection on loci such as the FADS cluster, associated with fatty acid metabolism, and the lactase persistence locus, began earlier than previously thought. A substantial amount of selection is also found in the HLA region and other loci associated with immunity, possibly due to the increased exposure to pathogens during the Neolithic, which may explain the current high prevalence of auto-immune disease, such as psoriasis, due to genetic trade-offs. By using ancient populations to infer local ancestry tracks in hundreds of thousands of samples from the UK Biobank, we find strong genetic differentiation among ancient Europeans in loci associated with anthropometric traits and susceptibility to several diseases that contribute to present-day disease burden. These were previously thought to be caused by local selection, but in fact can be attributed to differential genetic contributions from various source populations that are ancestral to present-day Europeans. Thus, alleles associated with increased height seem to have increased in frequency following the Yamnaya migration into northwestern Europe around 5,000 years ago. Alleles associated with increased risk of some mood-related phenotypes are overrepresented in the farmer ancestry component entering Europe from Anatolia around 11,000 years ago, while western hunter-gathere
Published: 2022

37. Population Genomics of Stone Age Eurasia

Author: Allentoft, Morten, Sikora, Martin, Alba, Refoyo-Martínez, Evan K. Irving-Pease, Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Sousa da Mota, Bárbara, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Schjellerup Jørkov, Marie Louise, Demeter, Fabrice, Novosolov, Maria, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus H.A., Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Mortensen, Morten Fischer, Nielsen, Anne Birgitte, Hede, Mikkel Ulfeldt, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Theis Zetner Trolle Jensen, Johannsen, Niels Nørkjær, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Daisy Ramsøe, Abigail, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey, Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders, Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Nielsen, Bjarne Henning, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona, Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri, Cuenca-Solana, David, Lordkipanidze, David, En’shin, Dmitri, Salazar-García, Domingo, Price, T. Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta, Usmanova, Emma, Cappellini, Enrico, Petersen, Erik Brinch, Kannegaard, Esben, Radina, Francesca, Yediay, Fulya Eylem, Duday, Henri, Gutiérrez-Zugasti, Igor, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Tortosa, Joan Emili Aura, Zilhão, João, Vega, Jorge, Pedersen, Kristoffer Buck, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila, Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina, Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai, Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga, Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, Damgaard, Peter de Barros, Petersen, Peter Vang, Martinez, Pilar Prieto, Włodarczak, Piotr, Smolyaninov, Roman, Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Turin, Ruslan, Vasilyiev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren, Jørgensen, Thomas, Serikov, Yuri, Molodin, Vyacheslav, Smrcka, Vaclav, Merz, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson, Yvonne, Kjær, Kurt, Lynnerup, Niels, Lawson, Daniel, Sudmant, Peter, Rasmussen, Simon, Korneliussen, Thorfinn, Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, Willerslev, Eske, Allentoft, Morten, Sikora, Martin, Alba, Refoyo-Martínez, Evan K. Irving-Pease, Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Sousa da Mota, Bárbara, Schulz Paulsson, Bettina, Halgren, Alma, Macleod, Ruairidh, Schjellerup Jørkov, Marie Louise, Demeter, Fabrice, Novosolov, Maria, Sørensen, Lasse, Nielsen, Poul Otto, Henriksen, Rasmus H.A., Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Mortensen, Morten Fischer, Nielsen, Anne Birgitte, Hede, Mikkel Ulfeldt, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Theis Zetner Trolle Jensen, Johannsen, Niels Nørkjær, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Daisy Ramsøe, Abigail, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey, Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders, Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Nielsen, Bjarne Henning, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona, Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri, Cuenca-Solana, David, Lordkipanidze, David, En’shin, Dmitri, Salazar-García, Domingo, Price, T. Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta, Usmanova, Emma, Cappellini, Enrico, Petersen, Erik Brinch, Kannegaard, Esben, Radina, Francesca, Yediay, Fulya Eylem, Duday, Henri, Gutiérrez-Zugasti, Igor, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Tortosa, Joan Emili Aura, Zilhão, João, Vega, Jorge, Pedersen, Kristoffer Buck, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila, Larsson, Lars, Metz, Laure, Yepiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina, Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai, Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga, Gábor, Olivér, Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per, Bangsgaard, Pernille, Damgaard, Peter de Barros, Petersen, Peter Vang, Martinez, Pilar Prieto, Włodarczak, Piotr, Smolyaninov, Roman, Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Turin, Ruslan, Vasilyiev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren, Jørgensen, Thomas, Serikov, Yuri, Molodin, Vyacheslav, Smrcka, Vaclav, Merz, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson, Yvonne, Kjær, Kurt, Lynnerup, Niels, Lawson, Daniel, Sudmant, Peter, Rasmussen, Simon, Korneliussen, Thorfinn, Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, and Willerslev, Eske
Abstract: Several major migrations and population turnover events during the later Stone Age (after c. 11,000 cal. BP) are believed to have shaped the contemporary population genetic diversity in Eurasia. While the genetic impacts of these migrations have been investigated on regional scales, a detailed understanding of their spatiotemporal dynamics both within and between major geographic regions across Northern Eurasia remains largely elusive. Here, we present the largest shotgun-sequenced genomic dataset from the Stone Age to date, representing 317 primarily Mesolithic and Neolithic individuals from across Eurasia, with associated radiocarbon dates, stable isotope data, and pollen records. Using recent advances, we imputed >1,600 ancient genomes to obtain accurate diploid genotypes, enabling previously unachievable fine-grained population structure inferences. We show that 1) Eurasian Mesolitic hunter-gatherers were more genetically diverse than previously known, and deeply divergent between the west and the east; 2) Hitherto genetically undescribed huntergatherers from the Middle Don region contributed significant ancestry to the later Yamnaya steppe pastoralists; 3) The genetic impact of the transition from Mesolithic hunter-gatherers to Neolithic farmers was highly distinct, east and west of a “Great Divide” boundary zone extending from the Black Sea to the Baltic, with large-scale shifts in genetic ancestry to the west. This include an almost complete replacement of hunter-gatherers in Denmark, but no substantial shifts during the same period further to the east; 4) Within-group relatedness changes substantially during the Neolithic transition in the west, where clusters of Neolithic farmer-associated individuals show overall reduced relatedness, while genetic relatedness remains high until ~4,000 BP in the east, consistent with a much longer persistence of smaller localised hunter-gatherer groups; 5) A fastpaced second major genetic transformation beginning around 5,0
Published: 2022

38. Population Genomics of Stone Age Eurasia

Author: Allentoft, Morten E., Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan K., Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Mota, Barbara, Paulsson, Bettina Schulz, Halgren, Alma, Macleod, Ruairidh, Schjellerup Jørkov, Marie Louise, Demeter, Fabrice, Novosolov, Maria, Sørensen, Lasse, Nielsen, Poul-Otto, Henriksen, Rasmus H. A., Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Mortensen, Morten Fischer, Nielsen, Anne Birgitte, Hede, Mikkel Ulfeldt, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Trolle Jensen, Theis Zetner, Johannsen, Niels Nørkjær, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey A., Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders J., Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Nielsen, Bjarne Henning, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona J., Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri V., Cuenca-Solana, David, Lordkipanidze, David O., En’shin, Dmitri, Salazar-García, Domingo C, Price, T. Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta V., Usmanova, Emma R., Cappellini, Enrico, Petersen, Erik Brinch, Kannegaard, Esben, Radina, Francesca, Yediay, Fulya Eylem, Duday, Henri, Gutiérrez-Zugasti, Igor, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Tortosa, Joan Emili Aura, Zilhão, João, Vega, Jorge, Pedersen, Kristoffer Buck, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila N., Larsson, Lars, Metz, Laure, Yeppiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina S., Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai A., Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga V., Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per Åke, Bangsgaard, Pernille, Damgaard, Peter de Barros, Petersen, Peter Vang, Martinez, Pilar Prieto, Włodarczak, Piotr, Smolyaninov, Roman V., Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyiev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren H., Jørgensen, Thomas, Serikov, Yuri B., Molodin, Vyacheslav I., Smrcka, Vaclav, Merz, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson, Yvonne, Kjær, Kurt H., Lynnerup, Niels, Lawson, Daniel J., Sudmant, Peter H., Rasmussen, Simon, Korneliussen, Thorfinn, Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, Willerslev, Eske, Allentoft, Morten E., Sikora, Martin, Refoyo-Martínez, Alba, Irving-Pease, Evan K., Fischer, Anders, Barrie, William, Ingason, Andrés, Stenderup, Jesper, Sjögren, Karl-Göran, Pearson, Alice, Mota, Barbara, Paulsson, Bettina Schulz, Halgren, Alma, Macleod, Ruairidh, Schjellerup Jørkov, Marie Louise, Demeter, Fabrice, Novosolov, Maria, Sørensen, Lasse, Nielsen, Poul-Otto, Henriksen, Rasmus H. A., Vimala, Tharsika, McColl, Hugh, Margaryan, Ashot, Ilardo, Melissa, Vaughn, Andrew, Mortensen, Morten Fischer, Nielsen, Anne Birgitte, Hede, Mikkel Ulfeldt, Rasmussen, Peter, Vinner, Lasse, Renaud, Gabriel, Stern, Aaron, Trolle Jensen, Theis Zetner, Johannsen, Niels Nørkjær, Scorrano, Gabriele, Schroeder, Hannes, Lysdahl, Per, Ramsøe, Abigail Daisy, Skorobogatov, Andrei, Schork, Andrew Joseph, Rosengren, Anders, Ruter, Anthony, Outram, Alan, Timoshenko, Aleksey A., Buzhilova, Alexandra, Coppa, Alfredo, Zubova, Alisa, Silva, Ana Maria, Hansen, Anders J., Gromov, Andrey, Logvin, Andrey, Gotfredsen, Anne Birgitte, Nielsen, Bjarne Henning, González-Rabanal, Borja, Lalueza-Fox, Carles, McKenzie, Catriona J., Gaunitz, Charleen, Blasco, Concepción, Liesau, Corina, Martinez-Labarga, Cristina, Pozdnyakov, Dmitri V., Cuenca-Solana, David, Lordkipanidze, David O., En’shin, Dmitri, Salazar-García, Domingo C, Price, T. Douglas, Borić, Dušan, Kostyleva, Elena, Veselovskaya, Elizaveta V., Usmanova, Emma R., Cappellini, Enrico, Petersen, Erik Brinch, Kannegaard, Esben, Radina, Francesca, Yediay, Fulya Eylem, Duday, Henri, Gutiérrez-Zugasti, Igor, Potekhina, Inna, Shevnina, Irina, Altinkaya, Isin, Guilaine, Jean, Hansen, Jesper, Tortosa, Joan Emili Aura, Zilhão, João, Vega, Jorge, Pedersen, Kristoffer Buck, Tunia, Krzysztof, Zhao, Lei, Mylnikova, Liudmila N., Larsson, Lars, Metz, Laure, Yeppiskoposyan, Levon, Pedersen, Lisbeth, Sarti, Lucia, Orlando, Ludovic, Slimak, Ludovic, Klassen, Lutz, Blank, Malou, González-Morales, Manuel, Silvestrini, Mara, Vretemark, Maria, Nesterova, Marina S., Rykun, Marina, Rolfo, Mario Federico, Szmyt, Marzena, Przybyła, Marcin, Calattini, Mauro, Sablin, Mikhail, Dobisíková, Miluše, Meldgaard, Morten, Johansen, Morten, Berezina, Natalia, Card, Nick, Saveliev, Nikolai A., Poshekhonova, Olga, Rickards, Olga, Lozovskaya, Olga V., Uldum, Otto Christian, Aurino, Paola, Kosintsev, Pavel, Courtaud, Patrice, Ríos, Patricia, Mortensen, Peder, Lotz, Per, Persson, Per Åke, Bangsgaard, Pernille, Damgaard, Peter de Barros, Petersen, Peter Vang, Martinez, Pilar Prieto, Włodarczak, Piotr, Smolyaninov, Roman V., Maring, Rikke, Menduiña, Roberto, Badalyan, Ruben, Iversen, Rune, Turin, Ruslan, Vasilyiev, Sergey, Wåhlin, Sidsel, Borutskaya, Svetlana, Skochina, Svetlana, Sørensen, Søren Anker, Andersen, Søren H., Jørgensen, Thomas, Serikov, Yuri B., Molodin, Vyacheslav I., Smrcka, Vaclav, Merz, Victor, Appadurai, Vivek, Moiseyev, Vyacheslav, Magnusson, Yvonne, Kjær, Kurt H., Lynnerup, Niels, Lawson, Daniel J., Sudmant, Peter H., Rasmussen, Simon, Korneliussen, Thorfinn, Durbin, Richard, Nielsen, Rasmus, Delaneau, Olivier, Werge, Thomas, Racimo, Fernando, Kristiansen, Kristian, and Willerslev, Eske
Abstract: The transitions from foraging to farming and later to pastoralism in Stone Age Eurasia (c. 11-3 thousand years before present, BP) represent some of the most dramatic lifestyle changes in human evolution. We sequenced 317 genomes of primarily Mesolithic and Neolithic individuals from across Eurasia combined with radiocarbon dates, stable isotope data, and pollen records. Genome imputation and co-analysis with previously published shotgun sequencing data resulted in >1600 complete ancient genome sequences offering fine-grained resolution into the Stone Age populations. We observe that: 1) Hunter-gatherer groups were more genetically diverse than previously known, and deeply divergent between western and eastern Eurasia. 2) We identify hitherto genetically undescribed hunter-gatherers from the Middle Don region that contributed ancestry to the later Yamnaya steppe pastoralists; 3) The genetic impact of the Neolithic transition was highly distinct, east and west of a boundary zone extending from the Black Sea to the Baltic. Large-scale shifts in genetic ancestry occurred to the west of this “Great Divide”, including an almost complete replacement of hunter-gatherers in Denmark, while no substantial ancestry shifts took place during the same period to the east. This difference is also reflected in genetic relatedness within the populations, decreasing substantially in the west but not in the east where it remained high until c. 4,000 BP; 4) The second major genetic transformation around 5,000 BP happened at a much faster pace with Steppe-related ancestry reaching most parts of Europe within 1,000-years. Local Neolithic farmers admixed with incoming pastoralists in eastern, western, and southern Europe whereas Scandinavia experienced another near-complete population replacement. Similar dramatic turnover-patterns are evident in western Siberia; 5) Extensive regional differences in the ancestry components involved in these early events remain visible to this day, e
Published: 2022

39. Population genomics of postglacial western eurasia

Author: Allentoft, Morten E., primary, Sikora, Martin, additional, Refoyo-Martínez, Alba, additional, Irving-Pease, Evan K., additional, Fischer, Anders, additional, Barrie, William, additional, Ingason, Andrés, additional, Stenderup, Jesper, additional, Sjögren, Karl-Göran, additional, Pearson, Alice, additional, Sousa da Mota, Bárbara, additional, Paulsson, Bettina Schulz, additional, Halgren, Alma, additional, Macleod, Ruairidh, additional, Schjellerup Jørkov, Marie Louise, additional, Demeter, Fabrice, additional, Sørensen, Lasse, additional, Nielsen, Poul Otto, additional, Henriksen, Rasmus A., additional, Vimala, Tharsika, additional, McColl, Hugh, additional, Margaryan, Ashot, additional, Ilardo, Melissa, additional, Vaughn, Andrew, additional, Mortensen, Morten Fischer, additional, Nielsen, Anne Birgitte, additional, Hede, Mikkel Ulfeldt, additional, Johannsen, Niels Nørkjær, additional, Rasmussen, Peter, additional, Vinner, Lasse, additional, Renaud, Gabriel, additional, Stern, Aaron, additional, Trolle Jensen, Theis Zetner, additional, Scorrano, Gabriele, additional, Schroeder, Hannes, additional, Lysdahl, Per, additional, Ramsøe, Abigail Daisy, additional, Skorobogatov, Andrei, additional, Schork, Andrew Joseph, additional, Rosengren, Anders, additional, Ruter, Anthony, additional, Outram, Alan, additional, Timoshenko, Aleksey A., additional, Buzhilova, Alexandra, additional, Coppa, Alfredo, additional, Zubova, Alisa, additional, Silva, Ana Maria, additional, Hansen, Anders J., additional, Gromov, Andrey, additional, Logvin, Andrey, additional, Gotfredsen, Anne Birgitte, additional, Nielsen, Bjarne Henning, additional, González-Rabanal, Borja, additional, Lalueza-Fox, Carles, additional, McKenzie, Catriona J., additional, Gaunitz, Charleen, additional, Blasco, Concepción, additional, Liesau, Corina, additional, Martinez-Labarga, Cristina, additional, Pozdnyakov, Dmitri V., additional, Cuenca-Solana, David, additional, Lordkipanidze, David O., additional, En’shin, Dmitri, additional, Salazar-García, Domingo C., additional, Price, T. Douglas, additional, Borić, Dušan, additional, Kostyleva, Elena, additional, Veselovskaya, Elizaveta V., additional, Usmanova, Emma R., additional, Cappellini, Enrico, additional, Petersen, Erik Brinch, additional, Kannegaard, Esben, additional, Radina, Francesca, additional, Yediay, Fulya Eylem, additional, Duday, Henri, additional, Gutiérrez-Zugasti, Igor, additional, Merts, Ilya, additional, Potekhina, Inna, additional, Shevnina, Irina, additional, Altinkaya, Isin, additional, Guilaine, Jean, additional, Hansen, Jesper, additional, Aura Tortosa, Joan Emili, additional, Zilhão, João, additional, Vega, Jorge, additional, Pedersen, Kristoffer Buck, additional, Tunia, Krzysztof, additional, Zhao, Lei, additional, Mylnikova, Liudmila N., additional, Larsson, Lars, additional, Metz, Laure, additional, Yepiskoposyan, Levon, additional, Pedersen, Lisbeth, additional, Sarti, Lucia, additional, Orlando, Ludovic, additional, Slimak, Ludovic, additional, Klassen, Lutz, additional, Blank, Malou, additional, González-Morales, Manuel, additional, Silvestrini, Mara, additional, Vretemark, Maria, additional, Nesterova, Marina S., additional, Rykun, Marina, additional, Rolfo, Mario Federico, additional, Szmyt, Marzena, additional, Przybyła, Marcin, additional, Calattini, Mauro, additional, Sablin, Mikhail, additional, Dobisíková, Miluše, additional, Meldgaard, Morten, additional, Johansen, Morten, additional, Berezina, Natalia, additional, Card, Nick, additional, Saveliev, Nikolai A., additional, Poshekhonova, Olga, additional, Rickards, Olga, additional, Lozovskaya, Olga V., additional, Gábor, Olivér, additional, Uldum, Otto Christian, additional, Aurino, Paola, additional, Kosintsev, Pavel, additional, Courtaud, Patrice, additional, Ríos, Patricia, additional, Mortensen, Peder, additional, Lotz, Per, additional, Persson, Per, additional, Bangsgaard, Pernille, additional, Barros Damgaard, Peter de, additional, Petersen, Peter Vang, additional, Martinez, Pilar Prieto, additional, Włodarczak, Piotr, additional, Smolyaninov, Roman V., additional, Maring, Rikke, additional, Menduiña, Roberto, additional, Badalyan, Ruben, additional, Iversen, Rune, additional, Turin, Ruslan, additional, Vasilyev, Sergey, additional, Wåhlin, Sidsel, additional, Borutskaya, Svetlana, additional, Skochina, Svetlana, additional, Sørensen, Søren Anker, additional, Andersen, Søren H., additional, Jørgensen, Thomas, additional, Serikov, Yuri B., additional, Molodin, Vyacheslav I., additional, Smrcka, Vaclav, additional, Merz, Victor, additional, Appadurai, Vivek, additional, Moiseyev, Vyacheslav, additional, Magnusson, Yvonne, additional, Kjær, Kurt H., additional, Lynnerup, Niels, additional, Lawson, Daniel J., additional, Sudmant, Peter H., additional, Rasmussen, Simon, additional, Korneliussen, Thorfinn, additional, Durbin, Richard, additional, Nielsen, Rasmus, additional, Delaneau, Olivier, additional, Werge, Thomas, additional, Racimo, Fernando, additional, Kristiansen, Kristian, additional, and Willerslev, Eske, additional
Published: 2022
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40. The Discipline of Economics: Performativity and Personhood in Undergraduate Economics Education

Author: Pearson, Alice
Subjects: Personhood, History of Economics, Social Anthropology, Economics Education, Higher Education, Capitalism, Economic Anthropology, Finance
Abstract: [Restricted], ESRC +3 Studentship; Cambridge Political Economy Society Trust
Published: 2021
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41. New baby on the Block, Alice & Caleb's little DIY princess

Author: Neville, Sophie
Published: 2016

42. It's a girl! Alice & Caleb nail it again

Published: 2016

43. 'You are not alone'

Author: Hedge, Anastasia
Published: 2016

44. Social infrastructures for the post-Covid recovery in the UK

Author: Bear, Laura, Simpson, Nikita, Bazambanza, Caroline, Bowers, Rebecca, Kamal, Atiya, Gheewala Lohiya, Anishka, Pearson, Alice, Vieira, Jordan, Watt, Connor, and Wuerth, Milena
Subjects: RA0421 Public health. Hygiene. Preventive Medicine, HV Social pathology. Social and public welfare. Criminology
Abstract: The central conflict facing policymakers, the voluntary sector, and communities during the Covid-19 pandemic has been keeping safe from a virus that is transmitted interpersonally while also providing vital support to those in need. The report presents the findings from 12 months of ethnographic, participatory, and quantitative research, which has revealed that people have fallen back on their families, neighbourhoods and communities in order to navigate new challenges and burden. We call these networks of kinship and care within and between families, friends, and communities “social infrastructures” and argue that economic life and pandemic recovery relies on the strength of these foundational relations. In the UK, local and rapid response initiatives saved lives as voluntary sector, religious organisations, and Community Champions built on these relations of care to encourage vaccine uptake. These innovative social projects also helped people to grieve and recover from losses of life and livelihoods. We argue that both short- and long-term investment in these integrated social infrastructures is crucial for the post-Covid recovery in the UK.
Published: 2021

45. Unearthing Neanderthal population history using nuclear and mitochondrial DNA from cave sediments

Author: Vernot, Benjamin, Zavala, Elena I., Gomez-Olivencia, Asier, Jacobs, Zenobia, Slon, Viviane, Mafessoni, Fabrizio, Romagné, Frédéric, Pearson, Alice, Petr, Martin, Sala Burgos, Mª Teresa Nohemí, Pablos, Adrián, Aranburu, Arantza, Bermúdez de Castro, José María, Carbonell i Roura, Eudald, Li, Bo, Krajcarz, Maciej T., Krivoshapkin, Andrey I., Kolobova, Kseniya A., Kozlikin, Maxim B., Shunkov, Michael V., Derevianko, Anatoly P., Viola, Bence, Grote, Steffi, Essel, Elena, López Herráez, David, Nagel, Sarah, Nickel, Birgit, Richter, Julia, Schmidt, Anna, Peter, Benjamin, Kelso, Janet, Roberts, Richard G., Arsuaga Ferreras, Juan Luis, Meyer, Matthias, Vernot, Benjamin, Zavala, Elena I., Gomez-Olivencia, Asier, Jacobs, Zenobia, Slon, Viviane, Mafessoni, Fabrizio, Romagné, Frédéric, Pearson, Alice, Petr, Martin, Sala Burgos, Mª Teresa Nohemí, Pablos, Adrián, Aranburu, Arantza, Bermúdez de Castro, José María, Carbonell i Roura, Eudald, Li, Bo, Krajcarz, Maciej T., Krivoshapkin, Andrey I., Kolobova, Kseniya A., Kozlikin, Maxim B., Shunkov, Michael V., Derevianko, Anatoly P., Viola, Bence, Grote, Steffi, Essel, Elena, López Herráez, David, Nagel, Sarah, Nickel, Birgit, Richter, Julia, Schmidt, Anna, Peter, Benjamin, Kelso, Janet, Roberts, Richard G., Arsuaga Ferreras, Juan Luis, and Meyer, Matthias
Abstract: Environmental DNA can identify the presence of species, even from the distant past. Surveying three cave sites in western Europe and southern Siberia, Vernot et al. identified nuclear DNA and confirmed that it is from the close relatives of anatomically modern humans—Neanderthal and Denisovan individuals. A phylogenetic analysis and modeling show that the DNA in sediment samples from several layers corresponds to previously studied skeletal remains. These results demonstrate that environmental data can be applied to study the population genetics of the extinct Neanderthal and Denisovan lineages, identifying a turnover of Neanderthal populations ∼100,000 years ago., Unión Europea. H2020, Ministerio de Ciencia e Innovación (MICINN)/FEDER, Ministerio de Ciencia e Innovación (MICINN), Australian Research Council, Russian Foundation for Basic Research, Max Planck Society, Junta de Castilla y León, Fundación Atapuerca, National Science Center, Poland, Juan de la Cierva-Incorporación, Social Sciences and Humanities Research Council (Canada), Depto. de Geodinámica, Estratigrafía y Paleontología, Fac. de Ciencias Geológicas, TRUE, pub
Published: 2021

46. Changing care networks in the United Kingdom

Author: Bear, Laura, James, Deborah, Simpson, Nikita, Alexander, Eileen, Bhogal, Kiran, Bowers, Rebecca, Cannell, Fenella, Lohiya, Anishka, Koch, Insa, Laws, Megan, Lenhard, Johannes, Long, Nicholas J., Pearson, Alice, Samanani, Farhan, Wuerth, Milena, Vicol, Dora Olivia, Vieira, Jordan, Watt, Connor, Whittle, Catherine, Zidaru-Barbulescu, Teo, Eckert, Andreas, and Hentschke, Felicitas
Subjects: HD Industries. Land use. Labor, RA0421 Public health. Hygiene. Preventive Medicine, HQ The family. Marriage. Woman, HV Social pathology. Social and public welfare. Criminology
Published: 2020

47. Unearthing Neanderthal population history using nuclear and mitochondrial DNA from cave sediments

Author: Vernot, Benjamin, primary, Zavala, Elena I., additional, Gómez-Olivencia, Asier, additional, Jacobs, Zenobia, additional, Slon, Viviane, additional, Mafessoni, Fabrizio, additional, Romagné, Frédéric, additional, Pearson, Alice, additional, Petr, Martin, additional, Sala, Nohemi, additional, Pablos, Adrián, additional, Aranburu, Arantza, additional, de Castro, José María Bermúdez, additional, Carbonell, Eudald, additional, Li, Bo, additional, Krajcarz, Maciej T., additional, Krivoshapkin, Andrey I., additional, Kolobova, Kseniya A., additional, Kozlikin, Maxim B., additional, Shunkov, Michael V., additional, Derevianko, Anatoly P., additional, Viola, Bence, additional, Grote, Steffi, additional, Essel, Elena, additional, Herráez, David López, additional, Nagel, Sarah, additional, Nickel, Birgit, additional, Richter, Julia, additional, Schmidt, Anna, additional, Peter, Benjamin, additional, Kelso, Janet, additional, Roberts, Richard G., additional, Arsuaga, Juan-Luis, additional, and Meyer, Matthias, additional
Published: 2021
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48. Does a mobile app help people with atrial fibrillation take their medication?

Author: Neubeck, Lis, primary, Pearson, Alice, additional, and Hanson, Coral, additional
Published: 2021
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49. To what extent is Waitrose & Partners a passion brand? An exploratory investigation of British consumer perspectives

Author: Pearson, Alice, Asmussen, Bjoern, Pearson, Alice, and Asmussen, Bjoern
Abstract: This study aims to examine the relationship between Waitrose & Partners and their customers by examining brand perception held amongst consumers. More specifically, the research topic objective is to determine the extent to which Waitrose & Partners can be defined as a passion brand, by firstly exploring a wide breadth of literature dedicated to passion branding, and secondly exploring the brand through the eyes of its consumers and determining the level of which it is a passion brand. By doing so, motivations behind consumer loyalty will be identified as well as the factors of shopping with Waitrose & Partners that consumers find most important to them. Using a qualitative methodological approach, the study interviewed a total of 10 participants who were asked a variety of questions relating to the Waitrose & Partners brand including their shopping experiences, whether they trusted the brand, their customer loyalty to Waitrose & Partners and their opinions regarding the overall brand consistency. Questions for the interviews were influenced from the scholarship explored in the literature review in relation to the concept of passion brands with loyalty, trust and emotion identified as important areas of discussion. Findings show that consumers of Waitrose are to a large extent very loyal to the brand and hold a high degree of respect and admiration for the brand and its values. Findings also demonstrate high levels of trust for the Waitrose & Partners, with consumers projecting the brand as synonymous with quality through its products and customer service. This study is relevant to the current retail climate as it reveals a strong correlation between brand experience and customer service and increased customer loyalty. Thus, the study can provide best practice guidelines for marketing professionals within the retail environment striving to leverage brand passion, emotion, loyalty and trust from consumers and stakeholders.
Published: 2018

50. A right to care: the social foundations of recovery from Covid-19

Author: Bear, Laura, James, Deborah, Simpson, Nikita, Alexander, Eileen, Bazambanza, Caroline, Bhogal, Jaskiran K., Bowers, Rebecca, Cannell, Fenella, Lohiya, Anishka, Koch, Insa, Lenhard, Johannes, Long, Nicholas J., Pearson, Alice, Samanani, Farhan, Vicol, Olivia, Vieira, Jordan, Watt, Connor, Wuerth, Milena, Whittle, Catherine, and Zidaru-Barbulescu, Teo
Subjects: RA0421 Public health. Hygiene. Preventive Medicine, HV Social pathology. Social and public welfare. Criminology
Abstract: This report presents key findings from a 6-month ethnographic study on the impact of the Covid-19 pandemic on disadvantaged households and communities across the UK conducted by anthropologists from the London School of Economics, and associates. This research involved in-depth interviews and multiple surveys with people across communities in the UK, with particular focus on a number of case studies of intersecting disadvantage. Crucially, our research has found that Government policy can improve adherence to restrictions and reduce the negative impacts of the pandemic on disadvantaged communities by placing central importance on communities, social networks and households to the economy and social life. This would be the most effective way to increase public trust and adherence to Covid-19 measures, because it would recognise the suffering that communities have experienced and would build policy on the basis of what is most important to people - the thriving of their families and communities.
Published: 2020

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