biostudies-literatureMas-Sandoval ALeverhulme TrustNHGRI NIH HHSHorizon 2020National Institutes of HealthNIH HHSe84429https://www.ebi.ac.uk/biostudies/studies/S-EPMC10776089biostudies-literatureUnknown12Cultural and socioeconomic differences stratify human societies and shape their genetic structure beyond the sole effect of geography. Despite mating being limited by sociocultural stratification, most demographic models in population genetics often assume random mating. Taking advantage of the correlation between sociocultural stratification and the proportion of genetic ancestry in admixed populations, we sought to infer the former process in the Americas. To this aim, we define a mating model where the individual proportions of the genome inherited from Native American, European, and sub-Saharan African ancestral populations constrain the mating probabilities through ancestry-related assortative mating and sex bias parameters. We simulate a wide range of admixture scenarios under this meLifeThe genomic footprint of social stratification in admixing American populations.PMC10776089RPG-2018-208R15 HG011528R15HG011528865356Fumagalli MMas-Sandoval AMathieson SfalseThe genomic footprint of social stratification in admixing American populations.Cultural and socioeconomic differences stratify human societies and shape their genetic structure beyond the sole effect of geography. Despite mating being limited by sociocultural stratification, most demographic models in population genetics often assume random mating. Taking advantage of the correlation between sociocultural stratification and the proportion of genetic ancestry in admixed populations, we sought to infer the former process in the Americas. To this aim, we define a mating model where the individual proportions of the genome inherited from Native American, European, and sub-Saharan African ancestral populations constrain the mating probabilities through ancestry-related assortative mating and sex bias parameters. We simulate a wide range of admixture scenarios under this m2023-01-01T00:00:00Z2023 Dec2026-06-03T15:14:17.21Z2025-04-06T02:21:58.628ZS-EPMC107760893803834710.7554/eLife.84429