On the genes, genealogies, and geographies of Quebec.


Journal

Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511

Informations de publication

Date de publication:
26 05 2023
Historique:
medline: 29 5 2023
pubmed: 25 5 2023
entrez: 25 5 2023
Statut: ppublish

Résumé

Population genetic models only provide coarse representations of real-world ancestry. We used a pedigree compiled from 4 million parish records and genotype data from 2276 French and 20,451 French Canadian individuals to finely model and trace French Canadian ancestry through space and time. The loss of ancestral French population structure and the appearance of spatial and regional structure highlights a wide range of population expansion models. Geographic features shaped migrations, and we find enrichments for migration, genetic, and genealogical relatedness patterns within river networks across regions of Quebec. Finally, we provide a freely accessible simulated whole-genome sequence dataset with spatiotemporal metadata for 1,426,749 individuals reflecting intricate French Canadian population structure. Such realistic population-scale simulations provide opportunities to investigate population genetics at an unprecedented resolution.

Identifiants

pubmed: 37228217
doi: 10.1126/science.add5300
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

849-855

Auteurs

Luke Anderson-Trocmé (L)

Department of Human Genetics, McGill University, Montreal, QC, Canada.
McGill University Genome Centre, Montreal, QC, Canada.

Dominic Nelson (D)

Department of Human Genetics, McGill University, Montreal, QC, Canada.
McGill University Genome Centre, Montreal, QC, Canada.

Shadi Zabad (S)

School of Computer Science, McGill University, Montreal, QC, Canada.

Alex Diaz-Papkovich (A)

Department of Human Genetics, McGill University, Montreal, QC, Canada.
Quantitative Life Sciences, McGill University, Montreal, QC, Canada.

Ivan Kryukov (I)

Department of Human Genetics, McGill University, Montreal, QC, Canada.
McGill University Genome Centre, Montreal, QC, Canada.

Nikolas Baya (N)

Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Mathilde Touvier (M)

Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University Paris Cité (CRESS), Bobigny, France.

Ben Jeffery (B)

Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Christian Dina (C)

Nantes Université, CNRS, INSERM, l'institut du thorax, Nantes, France.

Hélène Vézina (H)

BALSAC Project, Université du Québec á Chicoutimi, Chicoutimi, QC, Canada.

Jerome Kelleher (J)

Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Simon Gravel (S)

Department of Human Genetics, McGill University, Montreal, QC, Canada.
McGill University Genome Centre, Montreal, QC, Canada.

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