Kenya population forensic data on a sixteen loci microsatellite DNA system
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Date
2011-08-18
Authors
Kimani, Kagunda Joseph
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Abstract
Autosomal micro- satellites due to their hyper- variability have emerged as a potent tool for elucidating human identification. They involve a base motif of one to six base pairs, which are highly polymorphic and uniformly distributed throughout the human genome with high discriminatory power. In forensic analysis for cases of paternity testing, comparative DNA analysis, identification it has been necessary to determine the rarity of a match in the obtained DNA profiles by probability ramifications however lack of a Kenyan based allele frequency database and continued use of the one developed for the African American has made this a setback.. The Kenyan population is diverse in ethnicity with forty two tribes distributed in eight provinces in the country, various cultures and religions. There are three major cities of the country Nairobi (capital city), Mombasa and Kisumu with populations that are cosmopolitan largely due to rural- urban migration. To this end it was necessary to develop allele frequencies drawn from the Kenyan population for which a total of 150 blood samples, 50 from each city were obtained, then pooled together to form a common allele frequency database. The objectives of the study were to develop the Kenyan population forensic allele frequency database, assess the heterozygosity patterns of the Kenyan population, determine the genetic regional disparities among the Kenyan population and compare the Kenyan population forensic allele frequency database with that of the African American population currently in use. Blood was collected from Kisumu (50 samples), Nairobi (50 samples), and Mombasa (50 samples) on clean cotton ear bud ends; DNA was then extracted using the Chelex method then amplified using the Gene Amp PCR System 9700 (Applied Biosystems) and resolved using the 310 ABI Prism Genetic Analyser (Applied Biosystems). The identifiler kit developed by the Applied Biosystems was used to detect the following sixteen loci : D3S1358, VWA, D16S539, Amelogenin (sex chromosome), D2S1338, D8S1179, D21S11, D18S51, D19S433, CSFIPO, D5S818, D13S317, D7S820,TPOX, THOI and FGA using the five dye system for labeling the primers (6- FAM, VIC, NED, PET). Heterozygosity ranged from the highest observed in the pooled population in the STR markers D2S 1338 and FGA (0.9) and the lowest observed for the STR marker D7S820 (0.713). The highest power of discrimination was observed with STR markers D2S1338 and FGA (0.96). Accordance with the Hardy Weinberg Equilibrium was established with few deviations in loci: TPOX, D18S51 and D5S818 where p< 0.05. However, the deviations were not statistically significant after Bonferroni's correction. AMOVA for the pooled population for the among populations, among individuals and within individuals revealed a variation of 0.20%, 0.32% and 99.87% respectively. The Kenyan population markers have a total of 165 observed alleles with 15 distinct alleles while the African American population dataset has 183 observed alleles with 34 distinct alleles. The two populations revealed significant disparities. The discriminatory potential in the 15 STR loci revealed D2S 13338 and FGA to be the most informative loci in the studied Kenyan populations. The overall data supports the utility of the Kenyan population database for estimating STR profile frequencies
Description
Department of Biochemistry and Biotechnology, 91p. The RA 1051.K5 2009
Keywords
Medical jurisprudence, Forensic sciences, Paternity testing