F
Flora Jay
Researcher at University of Paris-Sud
Publications - 38
Citations - 6016
Flora Jay is an academic researcher from University of Paris-Sud. The author has contributed to research in topics: Population & Approximate Bayesian computation. The author has an hindex of 16, co-authored 30 publications receiving 5178 citations. Previous affiliations of Flora Jay include University of California, Berkeley & Centre national de la recherche scientifique.
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Journal ArticleDOI
The complete genome sequence of a Neanderthal from the Altai Mountains
Kay Prüfer,Fernando Racimo,Nick Patterson,Flora Jay,Sriram Sankararaman,Susanna Sawyer,Anja Heinze,Gabriel Renaud,Peter H. Sudmant,Cesare de Filippo,Heng Li,Swapan Mallick,Michael Dannemann,Qiaomei Fu,Martin Kircher,Martin Kuhlwilm,Michael Lachmann,Matthias Meyer,Matthias Ongyerth,Michael Siebauer,Christoph Theunert,Arti Tandon,Priya Moorjani,Joseph K. Pickrell,James C. Mullikin,Samuel H. Vohr,Richard E. Green,Ines Hellmann,Philip L. F. Johnson,Hélène Blanché,Howard M. Cann,Jacob O. Kitzman,Jay Shendure,Evan E. Eichler,Ed S. Lein,Trygve E. Bakken,Liubov V. Golovanova,Vladimir B. Doronichev,Michael V. Shunkov,A.P. Derevianko,Bence Viola,Montgomery Slatkin,David Reich,Janet Kelso,Svante Pääbo +44 more
TL;DR: It is shown that interbreeding, albeit of low magnitude, occurred among many hominin groups in the Late Pleistocene and a definitive list of substitutions that became fixed in modern humans after their separation from the ancestors of Neanderthals and Denisovans is established.
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A high-coverage genome sequence from an archaic Denisovan individual
Matthias Meyer,Martin Kircher,Marie Theres Gansauge,Heng Li,Fernando Racimo,Swapan Mallick,Swapan Mallick,Joshua G. Schraiber,Flora Jay,Kay Prüfer,Cesare de Filippo,Peter H. Sudmant,Can Alkan,Can Alkan,Qiaomei Fu,Qiaomei Fu,Ron Do,Nadin Rohland,Nadin Rohland,Arti Tandon,Arti Tandon,Michael Siebauer,Richard E. Green,Katarzyna Bryc,Adrian W. Briggs,Udo Stenzel,Jesse Dabney,Jay Shendure,Jacob O. Kitzman,Michael F. Hammer,Michael V. Shunkov,A.P. Derevianko,Nick Patterson,Aida M. Andrés,Evan E. Eichler,Evan E. Eichler,Montgomery Slatkin,David Reich,David Reich,Janet Kelso,Svante Pääbo +40 more
TL;DR: The genomic sequence provides evidence for very low rates of heterozygosity in the Denisova, probably not because of recent inbreeding, but instead because of a small population size, and illuminates the relationships between humans and archaics, including Neandertals, and establishes a catalog of genetic changes within the human lineage.
Journal ArticleDOI
Genome sequence of a 45,000-year-old modern human from western Siberia
Qiaomei Fu,Heng Li,Priya Moorjani,Flora Jay,Sergey Mikhailovich Slepchenko,Aleksei A. Bondarev,Philip L. F. Johnson,Ayinuer Aximu-Petri,Kay Prüfer,Cesare de Filippo,Matthias Meyer,Nicolas Zwyns,Domingo C. Salazar-García,Yaroslav V. Kuzmin,Susan G. Keates,Pavel A. Kosintsev,Dmitry Razhev,Michael P. Richards,Nikolai V. Peristov,Michael Lachmann,Katerina Douka,Thomas Higham,Montgomery Slatkin,Jean-Jacques Hublin,David Reich,Janet Kelso,T. Bence Viola,Svante Pääbo +27 more
TL;DR: The high-quality genome sequence of a ∼45,000-year-old modern human male from Siberia derives from a population that lived before—or simultaneously with—the separation of the populations in western and eastern Eurasia and carries a similar amount of Neanderthal ancestry as present-day Eurasians.
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Genomic Variation in Seven Khoe-San Groups Reveals Adaptation and Complex African History
Carina M. Schlebusch,Pontus Skoglund,Per Sjödin,Lucie M. Gattepaille,Dena G. Hernandez,Flora Jay,Sen Li,Michael De Jongh,Andrew B. Singleton,Michael G. B. Blum,Himla Soodyall,Mattias Jakobsson,Mattias Jakobsson +12 more
TL;DR: Genetic variation in various sub-Saharan populations did not localize the origin of modern humans to a single geographic region within Africa; instead, it indicated a history of admixture and stratification, and illustrated the importance of African genomic diversity in understanding human evolutionary history.
Journal ArticleDOI
Spatial Inference of Admixture Proportions and Secondary Contact Zones
TL;DR: Bayesian clustering algorithms are extended by including global trend surfaces and spatial autocorrelation in the prior distribution on individual admixture coefficients, and it is shown that the algorithm provides a correct description of smooth clinal variation, while still detecting zones of sharp variation when they are present in the data.