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Genomic analyses inform on migration events during the peopling of Eurasia.


ABSTRACT: High-coverage whole-genome sequence studies have so far focused on a limited number of geographically restricted populations, or been targeted at specific diseases, such as cancer. Nevertheless, the availability of high-resolution genomic data has led to the development of new methodologies for inferring population history and refuelled the debate on the mutation rate in humans. Here we present the Estonian Biocentre Human Genome Diversity Panel (EGDP), a dataset of 483 high-coverage human genomes from 148 populations worldwide, including 379 new genomes from 125 populations, which we group into diversity and selection sets. We analyse this dataset to refine estimates of continent-wide patterns of heterozygosity, long- and short-distance gene flow, archaic admixture, and changes in effective population size through time as well as for signals of positive or balancing selection. We find a genetic signature in present-day Papuans that suggests that at least 2% of their genome originates from an early and largely extinct expansion of anatomically modern humans (AMHs) out of Africa. Together with evidence from the western Asian fossil record, and admixture between AMHs and Neanderthals predating the main Eurasian expansion, our results contribute to the mounting evidence for the presence of AMHs out of Africa earlier than 75,000 years ago.

SUBMITTER: Pagani L 

PROVIDER: S-EPMC5164938 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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Genomic analyses inform on migration events during the peopling of Eurasia.

Pagani Luca L   Lawson Daniel John DJ   Jagoda Evelyn E   Mörseburg Alexander A   Eriksson Anders A   Mitt Mario M   Clemente Florian F   Hudjashov Georgi G   DeGiorgio Michael M   Saag Lauri L   Wall Jeffrey D JD   Cardona Alexia A   Mägi Reedik R   Wilson Sayres Melissa A MA   Kaewert Sarah S   Inchley Charlotte C   Scheib Christiana L CL   Järve Mari M   Karmin Monika M   Jacobs Guy S GS   Antao Tiago T   Iliescu Florin Mircea FM   Kushniarevich Alena A   Ayub Qasim Q   Tyler-Smith Chris C   Xue Yali Y   Yunusbayev Bayazit B   Tambets Kristiina K   Mallick Chandana Basu CB   Saag Lehti L   Pocheshkhova Elvira E   Andriadze George G   Muller Craig C   Westaway Michael C MC   Lambert David M DM   Zoraqi Grigor G   Turdikulova Shahlo S   Dalimova Dilbar D   Sabitov Zhaxylyk Z   Sultana Gazi Nurun Nahar GNN   Lachance Joseph J   Tishkoff Sarah S   Momynaliev Kuvat K   Isakova Jainagul J   Damba Larisa D LD   Gubina Marina M   Nymadawa Pagbajabyn P   Evseeva Irina I   Atramentova Lubov L   Utevska Olga O   Ricaut François-Xavier FX   Brucato Nicolas N   Sudoyo Herawati H   Letellier Thierry T   Cox Murray P MP   Barashkov Nikolay A NA   Skaro Vedrana V   Mulahasanovic Lejla L   Primorac Dragan D   Sahakyan Hovhannes H   Mormina Maru M   Eichstaedt Christina A CA   Lichman Daria V DV   Abdullah Syafiq S   Chaubey Gyaneshwer G   Wee Joseph T S JTS   Mihailov Evelin E   Karunas Alexandra A   Litvinov Sergei S   Khusainova Rita R   Ekomasova Natalya N   Akhmetova Vita V   Khidiyatova Irina I   Marjanović Damir D   Yepiskoposyan Levon L   Behar Doron M DM   Balanovska Elena E   Metspalu Andres A   Derenko Miroslava M   Malyarchuk Boris B   Voevoda Mikhail M   Fedorova Sardana A SA   Osipova Ludmila P LP   Lahr Marta Mirazón MM   Gerbault Pascale P   Leavesley Matthew M   Migliano Andrea Bamberg AB   Petraglia Michael M   Balanovsky Oleg O   Khusnutdinova Elza K EK   Metspalu Ene E   Thomas Mark G MG   Manica Andrea A   Nielsen Rasmus R   Villems Richard R   Willerslev Eske E   Kivisild Toomas T   Metspalu Mait M  

Nature 20160921 7624


High-coverage whole-genome sequence studies have so far focused on a limited number of geographically restricted populations, or been targeted at specific diseases, such as cancer. Nevertheless, the availability of high-resolution genomic data has led to the development of new methodologies for inferring population history and refuelled the debate on the mutation rate in humans. Here we present the Estonian Biocentre Human Genome Diversity Panel (EGDP), a dataset of 483 high-coverage human genom  ...[more]

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