Literature DB >> 23665814

Comparison of the genetic background of different Colombian populations using the SNPforID 52plex identification panel.

Adriana Ibarra1, Ana Freire-Aradas, Martha Martínez, Manuel Fondevila, German Burgos, Mauricio Camacho, Henry Ostos, Zuleyma Suarez, Angel Carracedo, Sidney Santos, Leonor Gusmão.   

Abstract

Various strategies for analysing SNP markers and genotyping have been published with the goal of obtaining informative profiles from biological samples that contain only small amounts of template and/or degraded DNA. In this study, a multiplex assay of 52 autosomal single-nucleotide polymorphisms (SNPs) was used to analyse 438 individuals from urban populations from different regions of Colombia, as well as a sample of 50 Native American individuals of the Pastos ethnic group from Nariño. To determine if significant differences in these 52 SNPs exist between the distinct regions of Colombia, genetic distance and admixture analyses were performed based on the available data for 17 different Colombian population groups and for population groups from Africa, Europe and America. The results demonstrate significant differences between the populations from the Southwest Andean, Central-West Andean, Central-East Andean, Orinoquian and northern Colombian Pacific Coast regions. Most of the regions exhibited a European and Native American admixture. One exception is the population from the region of Chocó (on the northern Pacific Coast), which exhibits a high proportion of African admixture (54 %). From the observed genetic backgrounds, it is possible to conclude that a single reference database for the entire country would not be suitable for forensic purposes. The allele frequencies and the forensically relevant parameters were calculated for all of the markers in each Colombian region with significant values for the combined matching probability (power of discrimination ≥0.99999999999999990) and the combined probability of exclusion (≥0.9990) in trios that were obtained from all of the population groups.

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Year:  2013        PMID: 23665814     DOI: 10.1007/s00414-013-0858-z

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


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