Literature DB >> 33481226

Massively parallel sequencing of 25 short tandem repeat loci including the SE33 marker in Koreans.

Ja Hyun Lee1, Jeongyong Kim1, Hyojeong Kim1, Hyo Sook Kim1, Eungsoo Kim2.   

Abstract

BACKGROUND: Massively parallel sequencing (MPS) technology has recently been introduced in research, clinical diagnostics, and forensics. MPS enables determination of the genotypes of multiple short tandem repeat (STR) markers and to determine nucleotide sequence variations, additionally.
OBJECTIVE: To improve STR analysis and a paternity index, a new, smaller-sized STR panel was designed that includes the SE33 locus.
METHODS: This study performed MPS using an STR panel including the SE33 marker in 101 Koreans. The concordance study was conducted by comparing the data obtained from the MPS assay with the results of a capillary electrophoresis (CE)-based method.
RESULTS: In this study, an in-house MPS panel is designed that incorporates the 20 Combined DNA Index System (CODIS) loci and the Penta D, Penta E, and SE33 markers for enhanced discriminatory ability. The data obtained via MPS analysis were compared with CE data to confirm concordance. Fifty previously unreported alleles were detected through the MPS analysis. Three new SNP variations in the flanking region were also identified. Statistical analysis demonstrated that the SE33 marker was most effectively determined the match probability (PM) and typical paternity index (TPI). In the sensitivity study, concentrations as low as 80 pg could be used to obtain full and concordant profiles.
CONCLUSIONS: We designed a new, smaller-sized STR panel that includes the SE33 locus to improve STR analysis and the paternity index. Various new alleles were identified in SE33, indicating a high degree of polymorphism. The panel is expected to provide valid data for discrimination of unidentified bodies.

Entities:  

Keywords:  Forensic; Human identification; Massively parallel sequencing (MPS); Matching probability; SE33 locus; Short tandem repeat (STR)

Mesh:

Substances:

Year:  2021        PMID: 33481226     DOI: 10.1007/s13258-020-01033-4

Source DB:  PubMed          Journal:  Genes Genomics        ISSN: 1976-9571            Impact factor:   1.839


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