The genetic history of France

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作者
Aude Saint Pierre
Joanna Giemza
Isabel Alves
Matilde Karakachoff
Marinna Gaudin
Philippe Amouyel
Jean-François Dartigues
Christophe Tzourio
Martial Monteil
Pilar Galan
Serge Hercberg
Iain Mathieson
Richard Redon
Emmanuelle Génin
Christian Dina
机构
[1] Univ Brest,Department of Genetics, Perelman School of Medicine
[2] Inserm,undefined
[3] EFS,undefined
[4] CHU Brest,undefined
[5] UMR 1078,undefined
[6] GGB,undefined
[7] Université de Nantes,undefined
[8] CHU Nantes,undefined
[9] CNRS,undefined
[10] INSERM,undefined
[11] l’institut du thorax,undefined
[12] F-44000,undefined
[13] Univ. Lille,undefined
[14] Inserm,undefined
[15] CHU Lille University Hospital,undefined
[16] Institut Pasteur de Lille,undefined
[17] LabEx DISTALZ-UMR1167 - RID-AGE-Risk factors and molecular determinants of aging-related,undefined
[18] Univ. Bordeaux,undefined
[19] Inserm,undefined
[20] Bordeaux Population Health Research Center,undefined
[21] UMR 1219,undefined
[22] CHU Bordeaux,undefined
[23] Université de Nantes,undefined
[24] UMR 6566 CReAAH,undefined
[25] LARA,undefined
[26] Université Paris 13,undefined
[27] Equipe de Recherche en Epidémiologie Nutritionnelle,undefined
[28] Centre de Recherche en Epidémiologie et Statistiques,undefined
[29] Inserm (U1153),undefined
[30] Inra (U1125),undefined
[31] Cnam,undefined
[32] COMUE Sorbonne Paris Cité,undefined
[33] University of Pennsylvania,undefined
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摘要
The study of the genetic structure of different countries within Europe has provided significant insights into their demographic history and population structure. Although France occupies a particular location at the western part of Europe and at the crossroads of migration routes, few population genetic studies have been conducted so far with genome-wide data. In this study, we analyzed SNP-chip genetic data from 2184 individuals born in France who were enrolled in two independent population cohorts. Using FineSTRUCTURE, six different genetic clusters of individuals were found that were very consistent between the two cohorts. These clusters correspond closely to geographic, historical, and linguistic divisions of France, and contain different proportions of ancestry from Stone and Bronze Age populations. By modeling the relationship between genetics and geography using EEMS, we were able to detect gene flow barriers that are similar across the two cohorts and correspond to major rivers and mountain ranges. Estimations of effective population sizes also revealed very similar patterns in both cohorts with a rapid increase of effective population sizes over the last 150 generations similar to other European countries. A marked bottleneck is also consistently seen in the two datasets starting in the 14th century when the Black Death raged in Europe. In conclusion, by performing the first exhaustive study of the genetic structure of France, we fill a gap in genetic studies of Europe that will be useful to medical geneticists, historians, and archeologists.
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页码:853 / 865
页数:12
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