
pmid: 30479341
pmc: PMC6258758
AbstractEuropean population history has been shaped by migrations of people, and their subsequent admixture. Recently, ancient DNA has brought new insights into European migration events linked to the advent of agriculture, and possibly to the spread of Indo-European languages. However, little is known about the ancient population history of north-eastern Europe, in particular about populations speaking Uralic languages, such as Finns and Saami. Here we analyse ancient genomic data from 11 individuals from Finland and north-western Russia. We show that the genetic makeup of northern Europe was shaped by migrations from Siberia that began at least 3500 years ago. This Siberian ancestry was subsequently admixed into many modern populations in the region, particularly into populations speaking Uralic languages today. Additionally, we show that ancestors of modern Saami inhabited a larger territory during the Iron Age, which adds to the historical and linguistic information about the population history of Finland.
Male, Science, DIVERSITY, SEQUENCE, Article, HISTORY, HAIR, Humans, MAFFT, Finland, Principal Component Analysis, Geography, Genome, Human, ta1184, Q, DNA, FINNS, ADMIXTURE, Siberia, ALIGNMENT, Genetics, Population, Archaeology, Genetics, developmental biology, physiology, POPULATIONS, Female, Genealogy and Heraldry
Male, Science, DIVERSITY, SEQUENCE, Article, HISTORY, HAIR, Humans, MAFFT, Finland, Principal Component Analysis, Geography, Genome, Human, ta1184, Q, DNA, FINNS, ADMIXTURE, Siberia, ALIGNMENT, Genetics, Population, Archaeology, Genetics, developmental biology, physiology, POPULATIONS, Female, Genealogy and Heraldry
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 113 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
