ArticleProceedings of the National Academy of Sciences of the United States of America2017
Estimating mobility using sparse data: Application to human genetic variation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Estimating human mobility in Holocene Western Eurasia with large-scale ancient genomic data.Proceedings of the National Academy of Sciences of the United States of America · 2023Pooled it
- The History of the Panmictic Population Concept and Its Legacy in Contemporary Population Genetics.Annals of human genetics · 2025Article
- The genomic footprints of migration: how ancient DNA reveals our history of mobility.Genome biology · 2025Review
- Fast and Accurate Estimation of Selection Coefficients and Allele Histories from Ancient and Modern DNA.Molecular biology and evolution · 2024Article
- Spatial and temporal heterogeneity in human mobility patterns in Holocene Southwest Asia and the East Mediterranean.Current biology : CB · 2023Article
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- Ancient mitochondrial diversity reveals population homogeneity in Neolithic Greece and identifies population dynamics along the Danubian expansion axis.Scientific reports · 2022Article
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- A genomic perspective on South American human history.Genetics and molecular biology · 2022Article
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- Sometimes hidden but always there: the assumptions underlying genetic inference of demographic histories.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- The spread of agriculture in Iberia through Approximate Bayesian Computation and Neolithic projectile tools.PloS one · 2021Article
- Beyond broad strokes: sociocultural insights from the study of ancient genomes.Nature reviews. Genetics · 2020Review
- Ancient DNA suggests modern wolves trace their origin to a Late Pleistocene expansion from Beringia.Molecular ecology · 2020Article
- Corded Ware cultural complexity uncovered using genomic and isotopic analysis from south-eastern Poland.Scientific reports · 2020Article
- Whole-genome sequencing of 128 camels across Asia reveals origin and migration of domestic Bactrian camels.Communications biology · 2020Article
- Did Our Species Evolve in Subdivided Populations across Africa, and Why Does It Matter?Trends in ecology & evolution · 2018Article
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6 authors.
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Abstract
Mobility is one of the most important processes shaping spatiotemporal patterns of variation in genetic, morphological, and cultural traits. However, current approaches for inferring past migration episodes in the fields of archaeology and population genetics lack either temporal resolution or formal quantification of the underlying mobility, are poorly suited to spatially and temporally sparsely sampled data, and permit only limited systematic comparison between different time periods or geographic regions. Here we present an estimator of past mobility that addresses these issues by explicitly linking trait differentiation in space and time. We demonstrate the efficacy of this estimator using spatiotemporally explicit simulations and apply it to a large set of ancient genomic data from Western Eurasia. We identify a sequence of changes in human mobility from the Late Pleistocene to the Iron Age. We find that mobility among European Holocene farmers was significantly higher than among European hunter-gatherers both pre- and postdating the Last Glacial Maximum. We also infer that this Holocene rise in mobility occurred in at least three distinct stages: the first centering on the well-known population expansion at the beginning of the Neolithic, and the second and third centering on the beginning of the Bronze Age and the late Iron Age, respectively. These findings suggest a strong link between technological change and human mobility in Holocene Western Eurasia and demonstrate the utility of this framework for exploring changes in mobility through space and time.
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