The place of metropolitan France in the European genomic landscape.


Journal

Human genetics
ISSN: 1432-1203
Titre abrégé: Hum Genet
Pays: Germany
ID NLM: 7613873

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 10 01 2020
accepted: 25 03 2020
pubmed: 9 4 2020
medline: 18 8 2020
entrez: 9 4 2020
Statut: ppublish

Résumé

Unlike other European countries, the human population genetics and demographic history of Metropolitan France is surprisingly understudied. In this work, we combined newly genotyped samples from various zones in France with publicly available data and applied both allele frequency and haplotype-based methods to describe the internal structure of this country, using genome-wide single nucleotide polymorphism (SNP) array genotypes. We found out that French Basques, already known for their linguistic uniqueness, are genetically distinct from all other groups and that the populations from southwest France (namely the Gascony region) share a large proportion of their ancestry with Basques. Otherwise, the genetic makeup of the French population is relatively homogeneous and mostly related to Southern and Central European groups. However, a fine-grained, haplotype-based analysis revealed that Bretons slightly separated from the rest of the groups, due mostly to gene flow from the British Isles in a time frame that coincides both historically attested Celtic population movements to this area between the 3th and the ninth centuries CE, but also with a more ancient genetic continuity between Brittany and the British Isles related to the shared drift with hunter-gatherer populations. Haplotype-based methods also unveiled subtle internal structures and connections with the surrounding modern populations, particularly in the periphery of the country.

Identifiants

pubmed: 32266522
doi: 10.1007/s00439-020-02158-y
pii: 10.1007/s00439-020-02158-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1091-1105

Subventions

Organisme : Agencia Estatal de Investigación
ID : CGL-2015-75389-P
Organisme : Agencia Estatal de Investigación
ID : BES-2014-069224
Organisme : Agència de Gestió d'Ajuts Universitaris i de la Recerca
ID : 2014SGR2866
Organisme : Ministerio de Economía y Competitividad
ID : MDM-2014-0370

Auteurs

Simone Andrea Biagini (SA)

Departament de Ciències Experimentals i de la Salut, Institute of Evolutionary Biology (CSIC-UPF), Universitat Pompeu Fabra, Carrer Doctor Aiguader 88, 08005, Barcelona, Catalonia, Spain.

Eva Ramos-Luis (E)

Xenética Cardiovascular, Instituto de Investigación Sanitaria de Santiago de Compostela, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain.
Grupo de Medicina Xenómica, Universidade de Santiago de Compostela- Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, A Coruña, Spain.

David Comas (D)

Departament de Ciències Experimentals i de la Salut, Institute of Evolutionary Biology (CSIC-UPF), Universitat Pompeu Fabra, Carrer Doctor Aiguader 88, 08005, Barcelona, Catalonia, Spain.

Francesc Calafell (F)

Departament de Ciències Experimentals i de la Salut, Institute of Evolutionary Biology (CSIC-UPF), Universitat Pompeu Fabra, Carrer Doctor Aiguader 88, 08005, Barcelona, Catalonia, Spain. francesc.calafell@upf.edu.

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Classifications MeSH