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Published on: July 17, 2021
Population Genetic Data for 23 STR Loci of the Garifuna Ethnic Group in Honduras
Antonieta Zuniga1, Yolly Molina1,2, Karen Amaya1
1Dirección de Medicina Forense, Ministerio Público, Calle la Salud, Tegucigalpa 11101, Honduras.
Abstract:
Background: The Garifunas are a distinctive Afro-indigenous community of Honduras, originating from the historical admixture of Island Carib, Arawak, and West African peoples in the seventeenth-century Caribbean. With an estimated 43,111 individuals residing primarily along the northern Atlantic coast. Their dual ancestral composition yields a genetic profile that differs meaningfully from those of other Honduran reference populations, consistent with pairwise FST comparisons with previously published Lenca and Tawahka datasets generated on the identical platform; yet no population-specific short tandem repeat (STR) reference dataset had previously been established. Methods: We genotyped 23 autosomal STR loci using the PowerPlex Fusion 6C System (Promega Corporation) in 100 unrelated Garifuna individuals (70 females, 30 males) sampled from three coastal settlements in the department of Atlántida: Triunfo de la Cruz, Ensenada, and Corozal. DNA was extracted from blood collected on FTA cards, and statistical parameters were computed using Genepop v4.2 and Arlequin v5.3.2.2. Results: A total of 217 distinct alleles were identified, with 5 to 19 alleles per locus (mean 9.43 ± 3.54). Expected heterozygosity (He) ranged from 0.6392 (D13S317) to 0.9010 (SE33), with a population mean of 0.7893. No locus deviated from Hardy-Weinberg equilibrium after Bonferroni correction (α = 0.0022). The combined random match probability was approximately 1.9 × 10-26, and the combined chance of exclusion reached 99.99999993%. Conclusions: This study provides the first Honduran Garifuna population-specific autosomal STR reference database for precise forensic likelihood ratio estimates, kinship assessments, and population genetic studies. The Garifuna's high diversity-consistent with their West African and Amerindian ancestry-indicates the risk of systematic bias when non-specific databases are used.
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