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. 2024 Jun;20(2):400-411.
doi: 10.1007/s12024-023-00652-z. Epub 2023 Jun 2.

Development of a multiplex panel with 36 insertion/deletion markers (InDel) for individual identification

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Development of a multiplex panel with 36 insertion/deletion markers (InDel) for individual identification

Gonul Filoglu et al. Forensic Sci Med Pathol. 2024 Jun.

Abstract

In recent years, the insertion/deletion (InDel) polymorphism has become a preferred genetic marker in forensic genetics due to its low mutation rates and small amplicon sizes. In this study, a 36-InDelplex identification panel, consisting of autosomal 34 InDel loci, 1 Y InDel locus, and amelogenin, was developed, and gene frequencies in the Turkish population were determined. The loci of the InDel panel with global minimum allele frequencies (MAF) ≥ 0.4 were selected from the 1000 Genomes Project Phase 3 data. The amplicon sizes of the loci were designed in the range of 69-252 bp. In the validation study of the developed panel, analysis threshold, dynamic range, sensitivity, stochastic threshold, inhibitor tolerance, and reproducibility parameters were studied by following the Scientific Working Group on DNA Analysis Methods (SWGDAM) guidelines. The sensitivity studies indicated that complete and reliable InDel profiles could be obtained with 0.25 ng of DNA. A population study was evaluated using 250 samples from Turkey. The mean observed heterozygosity ratio (Ho) of all loci was 0.48. The combined discrimination power (CPD) is 0.999999999990867 and the combined exclusion probability (CPE) was 0.9930. The population comparison was also made using Turkish and the five major populations from the 1000 Genomes Phase 3 populations' data (Africa, Europe, East Asia, South Asia, and America). In conclusion, the results showed that the 36-InDelplex panel is a reliable, sensitive, and accurate system that is suitable for human identification and population genetics purposes.

Keywords: Degraded DNA snalysis; Forensic genetics; Human identification; Insertion/Deletion (InDel) polymorphism; Optimization; Panel development; Population genetics; Validation.

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