Demographic modeling of admixed Latin American populations from whole genomes



Te invitamos a leer el artículo "Demographic modeling of admixed Latin American populations from whole genomes" publicado en Nature communications, a cargo del profesor investigador Dr. Andrés Moreno y su equipo de trabajo de la UGA-Langebio.

Autores: Santiago G. Medina-Muñoz / Diego Ortega-Del Vecchyo / Luis Pablo Cruz-Hervert / Leticia Ferreyra-Reyes / Lourdes García-García / Andrés Moreno-Estrada / Aaron P. Ragsdale.

  1. National Laboratory of Genomics for Biodiversity (LANGEBIO), Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato 36824, Mexico

  2. Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de Mexico, Juriquilla, Querétaro 76230, Mexico

  3. Instituto Nacional de Salud Púlica (INSP), Cuernavaca, Morelos, Mexico

  4. Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI 53706, USA

Felicitamos al estudiantado y profesorado que contribuyeron en esta investigación por su arduo trabajo.


Demographic models of Latin American populations often fail to fully capture their complex evolutionary history, which has been shaped by both recent admixture and deeper-in-time demographic events. To address this gap, we used high-coverage whole-genome data from Indigenous American ancestries in present-day Mexico and existing genomes from across Latin America to infer multiple demographic models that capture the impact of different timescales on genetic diversity. Our approach, which combines analyses of allele frequencies and ancestry tract length distributions, represents a significant improvement over current models in predicting patterns of genetic variation in admixed Latin American populations. We jointly modeled the contribution of European, African, East Asian, and Indigenous American ancestries into present-day Latin American populations. We infer that the ancestors of Indigenous Americans and East Asians diverged ∼30 thousand years ago, and we characterize genetic contributions of recent migrations from East and Southeast Asia to Peru and Mexico. Our inferred demographic histories are consistent across different genomic regions and annotations, suggesting that our inferences are robust to the potential effects of linked selection. In conjunction with published distributions of fitness effects for new nonsynonymous mutations in humans, we show in large-scale simulations that our models recover important features of both neutral and deleterious variation. By providing a more realistic framework for understanding the evolutionary history of Latin American populations, our models can help address the historical under-representation of admixed groups in genomics research and can be a valuable resource for future studies of populations with complex admixture and demographic histories.

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13/06/2023 01:20:42 p. m.