The genetic history of France
Type de document :
Article dans une revue scientifique: Article original
PMID :
Titre :
The genetic history of France
Auteur(s) :
Saint-Pierre, Aude [Auteur]
Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) [GGB]
Giemza, Joanna [Auteur]
ITX - unité de recherche de l'institut du thorax [ITX]
Alves, Isabel [Auteur]
ITX - unité de recherche de l'institut du thorax [ITX]
Karakachoff, Matilde [Auteur]
ITX - unité de recherche de l'institut du thorax [ITX]
Gaudin, Marinna [Auteur]
ITX - unité de recherche de l'institut du thorax [ITX]
Amouyel, Philippe [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Dartigues, Jean-François [Auteur]
Bordeaux population health [BPH]
Tzourio, Christophe [Auteur]
Bordeaux population health [BPH]
Monteil, Martial [Auteur]
Université de Nantes [UN]
Centre de Recherche en Archéologie, Archéosciences, Histoire [CReAAH]
Galan, Pilar [Auteur]
Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle [EREN [CRESS - U1153 / UMR_A 1125]]
Hercberg, Serge [Auteur]
Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle [EREN [CRESS - U1153 / UMR_A 1125]]
Mathieson, Iain [Auteur]
Perelman School of Medicine
Redon, Richard [Auteur]
ITX - unité de recherche de l'institut du thorax [ITX]
Génin, Emmanuelle [Auteur]
Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) [GGB]
Dina, Christian [Auteur correspondant]
ITX - unité de recherche de l'institut du thorax [ITX]
Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) [GGB]
Giemza, Joanna [Auteur]
ITX - unité de recherche de l'institut du thorax [ITX]
Alves, Isabel [Auteur]
ITX - unité de recherche de l'institut du thorax [ITX]
Karakachoff, Matilde [Auteur]
ITX - unité de recherche de l'institut du thorax [ITX]
Gaudin, Marinna [Auteur]
ITX - unité de recherche de l'institut du thorax [ITX]
Amouyel, Philippe [Auteur]

Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Dartigues, Jean-François [Auteur]
Bordeaux population health [BPH]
Tzourio, Christophe [Auteur]
Bordeaux population health [BPH]
Monteil, Martial [Auteur]
Université de Nantes [UN]
Centre de Recherche en Archéologie, Archéosciences, Histoire [CReAAH]
Galan, Pilar [Auteur]
Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle [EREN [CRESS - U1153 / UMR_A 1125]]
Hercberg, Serge [Auteur]
Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle [EREN [CRESS - U1153 / UMR_A 1125]]
Mathieson, Iain [Auteur]
Perelman School of Medicine
Redon, Richard [Auteur]
ITX - unité de recherche de l'institut du thorax [ITX]
Génin, Emmanuelle [Auteur]
Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) [GGB]
Dina, Christian [Auteur correspondant]
ITX - unité de recherche de l'institut du thorax [ITX]
Titre de la revue :
European Journal of Human Genetics
Pagination :
853-865
Éditeur :
Nature Publishing Group
Date de publication :
2020-02-10
ISSN :
1018-4813
Discipline(s) HAL :
Sciences du Vivant [q-bio]/Génétique
Sciences de l'Homme et Société/Histoire
Sciences de l'Homme et Société/Archéologie et Préhistoire
Sciences de l'Homme et Société/Histoire
Sciences de l'Homme et Société/Archéologie et Préhistoire
Résumé en anglais : [en]
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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Projet ANR :
Commentaire :
Erratum in : Correction: The genetic history of France. [Eur J Hum Genet. 2020]
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