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Elsevier, Forensic Science International: Genetics Supplement Series, 1(4), p. e13-e14, 2013

DOI: 10.1016/j.fsigss.2013.10.006

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The SNPforID 34-plex—Its ability to infer level of admixture in individuals

Journal article published in 2013 by P. R. Prestes ORCID, R. J. Mitchell, C. Santos, R. A. H. van Oorschot
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Forensic scientists use genetic individualization markers to include or exclude persons of interest in investigations. However, when there are no suspects due to absence of database matches or eye-witness information, prediction of biogeographical ancestry can be a valuable investigative tool. The SNPforID 34-plex uses 34 autosomal markers to predict ancestry from three geographic regions, Africa, Europe and East Asia. However, its ability to identify levels of admixture within individuals is unclear. We tested the 34-plex assay in 56 individuals from 15 families with varying levels of self-declared Asian/European admixed ancestry. STRUCTURE 2.3.4 was used for population structure analysis and cluster information provided inferences on levels of admixture. Chi-square tests were performed to evaluate the ability of the SNPforID 34-plex to predict level of admixture. The average/SD Asian and European contribution for individuals self-declared as first generation since admixture was 0.46/0.13 and 0.54/0.13, respectively. As expected, the average European contribution increased for individuals of 1/4, 1/8 and 1/16 Asian/European ancestries – 0.78/0.13, 0.89/0.05 and 0.91/0.03, respectively. There were no significant differences between observed and expected average contribution from each ancestry. However, individual outliers were observed, which could have been misclassified if analyzed separately. These results suggest the 34-plex can be a reliable tool to predict levels of admixture; however caution is required when an individual sample is investigated. A larger number of markers, combined with increased sample sizes comprising varying levels of admixture of different biogeographical ancestries, are required to enhance the ability to predict an individual's level of biogeographical ancestry.