On the genes, genealogies, and geographies of Quebec

• 成果类型: Article
• 署名作者: Anderson-Trocme, Luke; Nelson, Dominic; Zabad, Shadi; Diaz-Papkovich, Alex; Kryukov, Ivan; Baya, Nikolas; Touvier, Mathilde; Jeffery, Ben; Dina, Christian; Vezina, Helene; Kelleher, Jerome; Gravel, Simon
• 署名单位: McGill University; McGill University; McGill University; McGill University; University of Oxford; heSam Universite; Conservatoire National Arts & Metiers (CNAM); INRAE; Universite Paris Cite; Institut National de la Sante et de la Recherche Medicale (Inserm); Centre National de la Recherche Scientifique (CNRS); Institut National de la Sante et de la Recherche Medicale (Inserm); Nantes Universite; CHU de Nantes; University of Quebec; University of Quebec Chicoutimi
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-8610
• DOI: 10.1126/science.add5300
• 发表日期: 2023-05-26
• 页码: 849-854
• 关键词: POPULATION; transmission; EVOLUTION; distance; origins; size

摘要

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.