Using uniparental genetic profiles to unravel the complexity of Argentine admixed populations.

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Tác giả: Natalia S Buono, Malena S Canteros, Leila M Catoira, Rocio L Fernandez, Nicolas Furman, Florencia Gagliardi, Leonor Gusmão, Andrea C Mayordomo, Mariana Herrera Piñero, Luciana Rabitti, Tamara Samsonowicz, Filipa Simão, Cecilia P Velez

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Netherlands : Forensic science international. Genetics , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 736681

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. The primary objective of this study was to investigate the diversity and structure of lineage markers in Argentina and compare them with other admixed populations in South America. For this study, we analyzed Y-STR and mtDNA haplotypes from 5202 unrelated individuals, providing a detailed description of the observed variability in both markers. Additionally, we conducted a genetic distance analysis, incorporating data from bibliographic sources across Argentina and South America. In pairwise comparisons among provinces, higher FST values were found in mtDNA haplotypes than in Y-STR haplotypes. This allows for more provinces to be grouped by similarity when using Y-STR data. These differences were also evident in the multidimensional scaling (MDS) analysis between South American countries. Y-STR haplotypes showed greater similarity to European haplotypes, whereas mtDNA haplotypes exhibited greater dispersion. Thus, the comprehensive compilation of haplotypes in this study, including those integrated from our research and those cited in existing literature, provides an in-depth understanding of the inherent genetic complexities within Argentina.
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