A forensic population database in El Salvador: 58 STRs and 94 SNPs
| Autor: | Núria Bonet, Roger Anglada, Patricia Vásquez, Francesc Calafell, Ferran Casals, Raquel Rasal, Marc Tormo, Nury Rivas |
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| Přispěvatelé: | Ministerio de Economía y Competitividad (España), Generalitat de Catalunya |
| Rok vydání: | 2022 |
| Předmět: |
Male
Disappeared persons ADN Repeat sequence-based alleles Single-nucleotide polymorphism Polymorphism Single Nucleotide Pathology and Forensic Medicine Missing persons Gene Frequency Human genetics El Salvador Genetics Population Database Humans Persones desaparegudes Genètica humana High-Throughput Nucleotide Sequencing DNA Massive parallel sequencing DNA Fingerprinting humanities Forensic science Genetics Population Geography Evolutionary biology Female Microsatellite Repeats |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | We have genotyped the 58 STRs (27 autosomal, 24 Y-STRs and 7 X-STRs) and 94 autosomal SNPs in Illumina ForenSeq™ Primer Mix A in a sample of 248 men and 143 women from El Salvador, Central America. Regional division (Centro, Oriente, Occidente) showed in almost all cases F values not significantly different from 0, and further analyses were applied only to the undivided, country-wide population. The overall random match probability (RMP) decreased from 6.79 × 10 in length-based genotypes in the 27 autosomal STRs to 1.47 × 10 in repeat-sequence based genotypes. Combining the autosomal loci in this set, RMP reaches 2.97 × 10. In a population genetic analysis, El Salvador showed the lowest F values with US Hispanics both for autosomal and X-STRs; however, it was much closer to Native Americans for the latter than for the former, in accordance with the well-known gender-biased admixture that created most Latin American populations. This work was supported by the Spanish Ministry of Economy and Competitiveness and Agencia Estatal de Investigación (grant numbers CGL2016–75389-P (MINEICO/FEDER, UE), PID2019–106485GB-I00/AEI/10.13039/501100011033 (MINEICO), and “Unidad María de Maeztu” (MDM-2014–0370) to FCal; Agència de Gestió d′Ajuts Universitaris i de la Recerca (Generalitat de Catalunya, grant 2017SGR00702); Agència Catalana de Cooperació al Desenvolupament (ACCD004/17/00019 and ACCD016/18/00031); Fundación Panamericana para el Desarrollo (PADF, No. PRDHD-RFA-R-2017–009). We thank also the Ministry of Health of El Salvador, which, in 2018, allowed us to take samples at their facilities. |
| Databáze: | OpenAIRE |
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