Evaluation of Population Data and Forensic Parameters of Turkish Population on 30 Autosomal Insertion and Deletion Polymorphisms

Duvenci A., Bulbul O. , Filoglu G.

RUSSIAN JOURNAL OF GENETICS, vol.55, pp.246-252, 2019 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 55 Issue: 2
  • Publication Date: 2019
  • Doi Number: 10.1134/s1022795419020042
  • Page Numbers: pp.246-252


The InDel, based on the insertion or deletion in the human genome, is an alternative genetic marker for the widely used forensic STRs identification method. In this study we aim to determine forensic parameters of autosomal 30 InDel loci in Turkish population and to analyze the genetic differences between Turkish population and previously published other population data of alleged loci. We collected 250 blood samples from non-relative healthy volunteers. Then 30 insertion-deletion loci and amelogenin were amplified according to Investigator DIPplex (R) Kit manual (Qiagen). The PCR products were separated and analyzed. Forensic and population parameters of the 30 InDels were estimated with Promega PowerStats Excel worksheet, p-values of Hardy-Weinberg Equilibrium and F-ST test of population differentiation were calculated with Arlequin ver. 3.5. After Bonferonni correction the DIPplex allele frequency distributions showed no significant deviation from HWE. F-ST indicated that significant statistical differences were found between our population and Korean population at 16, Somalian population at 16, Taiwanian population at 9, Finnish population at 5, Polish population at 1 InDel loci. There is no statistically significant results in between our Turkish population sample, Turkish population in Denmark, and Italian populations in North-East Italy. We present population data and forensic parameters for 30 autosomal InDels studied in Turkish population samples. This data set will be useful in paternity, kinship analysis and also in identification of the forensic case samples. We also emphesis that Turkish population data is genetically closer to the nearby European populations as expected.