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Vol 57(2023) N 4 p. 624-636; DOI 10.1134/S0026893323040052 Full Text

D.O. Fesenko1*, I.D. Ivanovsky2, P.L. Ivanov3, E.Yu. Zemskova3, S.A. Polyakov1, O.E. Fesenko4, M.A. Filippova1, A.S. Zasedatelev1

Universal Panel of Insertion/Deletion Polymorphisms and Biochip-Based Kit ChipID106 for Genetic Personal Identification

1Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991 Russia
2DNA Research Center, LLC, Hkimki, Moscow Oblast, 141402 Russia
3Russian Center of Forensic Medical Expertise, Ministry of Health of the Russian Federation, Moscow, 125284 Russia
4Institute of Physics, Southern Federal University, Rostov-on-Don, 344090 Russia

*deferos@yandex.ru
Received - 2022-12-26; Revised - 2022-12-26; Accepted - 2023-01-25

A panel of 106 insertion/deletion (InDel) polymorphisms and a method of their genotyping on biochips were proposed as a new approach to genetic personal identification. Short lengths and low mutation rates are basic properties of InDel markers, which thus have significant advantages over short tandem repeats (STRs) widely used in forensics. The allele frequency distributions of all known InDel polymorphisms were studied in the five largest world populations (European, East Asian, South Asian, African, and American). Markers were selected to meet the following criteria: the minor allele frequency (MAF) is higher than 0.30; the physical distance between markers is greater than 3 Mb; there are no polymorphisms, tandem repeats, and palindromes in the flanking sequences; the AT/GC ratio is close to 1. A panel of 106 polymorphisms was thus formed; the average MAF was estimated at 0.396 in the five populations. The method developed for panel genotyping included one-step multiplex PCR and subsequent hybridization on a biological microarray. The average amplicon length was 72 bp. A sample of 201 residents of Moscow and St. Petersburg was tested to determine the main characteristics of the panel: the random matching probability (MP) was 1.89x 10-43 and the combined probability of paternity exclusion (CPE) was 0.99999999063. The method provides an alternative to molecular genetic personal identification based on the STR length variations.

personal identification, microarray, forensics, InDel polymorphisms



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