The history of the British Isles and Ireland is characterized by multiple periods of major cultural change, including the influential transformation after the end of Roman rule, which precipitated shifts in language, settlement patterns and material culture. The extent to which migration from continental Europe mediated these transitions is a matter of long-standing debate. Here we study genome-wide ancient DNA from 460 medieval northwestern Europeans-including 278 individuals from England-alongside archaeological data, to infer contemporary population dynamics. We identify a substantial increase of continental northern European ancestry in early medieval England, which is closely related to the early medieval and present-day inhabitants of Germany and Denmark, implying large-scale substantial migration across the North Sea into Britain during the Early Middle Ages. As a result, the individuals who we analysed from eastern England derived up to 76% of their ancestry from the continental North Sea zone, albeit with substantial regional variation and heterogeneity within sites. We show that women with immigrant ancestry were more often furnished with grave goods than women with local ancestry, whereas men with weapons were as likely not to be of immigrant ancestry. A comparison with present-day Britain indicates that subsequent demographic events reduced the fraction of continental northern European ancestry while introducing further ancestry components into the English gene pool, including substantial southwestern European ancestry most closely related to that seen in Iron Age France.
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http://dx.doi.org/10.1038/s41586-022-05247-2 | DOI Listing |
Genet Med
December 2024
Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN. Electronic address:
Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.
View Article and Find Full Text PDFForensic Sci Int Genet
December 2024
DNA Diagnostic Laboratory, Institute of Biology Roberto Alcantara Gomes, State University of Rio de, Rio de Janeiro 20550-900, Brazil.
Latin American countries are distinguished by their highly admixed populations, characterized by a significant preservation of Native American matrilineal ancestry. This contrasts with the paternal lineages, which exhibit different patterns due to pronounced sex-biased mating practices during the colonial period. Uniparental genetic markers have been instrumental in population genetics, facilitating the reconstruction of human settlement histories and serving forensic identification purposes.
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December 2024
Internal Medicine/Rheumatology, University of Texas Health Science Center at Houston, Houston, 77030, USA.
This study aimed to examine whether a reported SSc-associated SNP rs2841277 in the PLD4 gene identified in an Asian population was also associated with SSc in European American (EA). The EA cohort consisting of 1005 SSc patients and 961 healthy controls was examined in this study. TaqMan genotyping assays were performed to examine the SNP.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Clinical and Biomedical Sciences, RILD Building, Royal Devon and Exeter Hospital, University of Exeter, Barrack Road, Exeter, EX2 5DW, UK.
A Type 1 Diabetes Genetic Risk Score (T1DGRS) aids diagnosis and prediction of Type 1 Diabetes (T1D). While traditionally derived from imputed array genotypes, Whole Genome Sequencing (WGS) provides a more direct approach and is now increasingly used in clinical and research studies. We investigated the concordance between WGS-based and array-based T1DGRS across genetic ancestries in 149,265 UK Biobank participants using WGS, TOPMed-imputed, and 1000 Genomes-imputed array genotypes.
View Article and Find Full Text PDFPhenomics
October 2024
Institute of Women, Children and Reproductive Health, Shandong University, Jinan, 250012 Shandong China.
Unlabelled: Recently, there has been a debate regarding the association between polycystic ovary syndrome (PCOS) and pancreatic cancer (PC). In order to examine the causal relationship between PCOS and PC, we conducted a Mendelian randomization study, which utilized 12 single nucleotide polymorphisms (SNPs) identified from a genome-wide association study (GWAS) meta-analysis that included 10,074 PCOS cases and 103,164 controls of European ancestry as instrumental variables (IVs). The outcome data were obtained from the FinnGen database (including 605 cases and 218,187 controls).
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