Forensic performance of Investigator DIPplex indels genotyping kit in native, immigrant, and admixed populations in South Africa
Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Bellville, South Africa; South African Police Service Forensic Science Laboratory, Biology Unit, Panorama, South Africa
The utilization of binary markers in human individual identification is gaining ground in forensic genetics. We analyzed the polymorphisms from the first commercial indel kit Investigator DIPplex (Qiagen) in 512 individuals from Afrikaner, Indian, admixed Cape Colored, and the native Bantu Xhosa and Zulu origin in South Africa and evaluated forensic and population genetics parameters for their forensic application in South Africa. The levels of genetic diversity in population and forensic parameters in South Africa are similar to other published data, with lower diversity values for the native Bantu. Departures from Hardy-Weinberg expectations were observed in HLD97 in Indians, Admixed and Bantus, along with 6.83% homozygotes in the Bantu populations. Sequencing of the flanking regions showed a previously reported transition G>A in rs17245568. Strong population structure was detected with Fst, AMOVA, and the Bayesian unsupervised clustering method in STRUCTURE. Therefore we evaluated the efficiency of individual assignments to population groups using the ancestral membership proportions from STRUCTURE and the Bayesian classification algorithm in Snipper App Suite. Both methods showed low cross-assignment error (0-4%) between Bantus and either Afrikaners or Indians. The differentiation between populations seems to be driven by four loci under positive selection pressure. Based on these results, we draw recommendations for the application of this kit in SA. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
classification algorithm; DNA flanking region; expectation; gene frequency; genetic polymorphism; genetic variability; genotype; homozygote; human; immigrant; indel mutation; Indian; major clinical study; population structure; South Africa; Xhosa (people)