On the genes, genealogies, and geographies of Quebec

Author:

Anderson-Trocmé Luke12ORCID,Nelson Dominic12ORCID,Zabad Shadi3ORCID,Diaz-Papkovich Alex14ORCID,Kryukov Ivan12,Baya Nikolas5ORCID,Touvier Mathilde6ORCID,Jeffery Ben5ORCID,Dina Christian7ORCID,Vézina Hélène8ORCID,Kelleher Jerome5ORCID,Gravel Simon12ORCID

Affiliation:

1. Department of Human Genetics, McGill University, Montreal, QC, Canada.

2. McGill University Genome Centre, Montreal, QC, Canada.

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

4. Quantitative Life Sciences, McGill University, Montreal, QC, Canada.

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

6. 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.

7. Nantes Université, CNRS, INSERM, l’institut du thorax, Nantes, France.

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

Abstract

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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