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- W2979481861 abstract "Objectives The history of the Caribbean region is marked by numerous and various successive migration waves that resulted in a global blending of African, European, and Amerindian lineages. As the origin and genetic composition of the current population of French Caribbean islands has not been studied to date, we used both mitochondrial DNA and Y-chromosome markers to complete the characterization of the dynamics of admixture in the Guadeloupe archipelago. Materials and Methods We sequenced the mitochondrial hypervariable regions and genotyped mitochondrial and Y-chromosomal single nucleotide polymorphisms (SNPs) of 198 individuals from five localities of the Guadeloupe archipelago. Results The maternal haplogroups revealed a blend of 85% African lineages (mainly traced to Western, West-Central, and South-Eastern Africa), 12.5% Eurasian lineages, and 0.5% Amerindian lineages. We highlighted disequilibria between European paternal contribution (44%) and European maternal contribution (7%), pointing out an important sexual asymmetry. Finally, the estimated Native American component was strikingly low and supported the near-extinction of native lineages in the region. Discussion We confirmed that all historically known migratory events indeed left a visible genetic imprint in the contemporary Caribbean populations. The data gathered clearly demonstrated the significant impact of the transatlantic slave trade on the Guadeloupean population's constitution. Altogether, the data in our study confirm that in the Caribbean region, human population variation is correlated with colonial and postcolonial policies and unique island histories." @default.
- W2979481861 created "2019-10-18" @default.
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- W2979481861 date "2019-10-10" @default.
- W2979481861 modified "2023-10-17" @default.
- W2979481861 title "Tracing the genetic legacy in the French Caribbean islands: A study of mitochondrial and Y‐chromosome lineages in the Guadeloupe archipelago" @default.
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- W2979481861 doi "https://doi.org/10.1002/ajpa.23931" @default.
- W2979481861 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31599974" @default.
- W2979481861 hasPublicationYear "2019" @default.
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