Electrophoresis · 2022 · 18 citations · 28 references
Life SciencesGeneticsMolecular GeneticsGenomicsHuman GeneticsMedical GeneticsDegraded Dna AnalysisGenotyping PlatformsMarker ValidationMolecular MarkersNucleic Acid Amplification TestingVariant DetectionMultiplex Amplification AssaysMultiplex Assay DevelopmentMultiplex Assay ValidationMultiplex Detection AssaysMultiplex Diagnostic AssaysMultiplex Genotyping AssaysShort Tandem RepeatsSingle-nucleotide Polymorphisms
Abstract Marker sets based on insertion/deletion polymorphisms (InDels) combine the characteristics of both short tandem repeats (STRs) and single nucleotide polymorphisms and have served as effective complementary or stand‐alone systems for human identification in forensics. We developed a novel multiplex amplification detection system, designated the AGCU InDel 60 kit, containing 57 autosomal InDels, 2 Y‐chromosomal InDels, and the amelogenin locus and validated the kit in a series of studies, which included tests of the PCR conditions; tests for sensitivity, species specificity, reproducibility, stability, and mock case samples; degradation studies; and a population study. The results indicated that the AGCU InDel 60 kit was accurate, specific, reproducible, stable, and robust. Complete DNA profiles were obtained even with 125 pg of human DNA. In tests of artificially degraded samples, we found that the number of alleles detected by the validated kit was considerably greater than that detected by the STR‐based AGCU 21+1 kit, even as the degree of degradation increased. Additionally, 564 unrelated individuals from three Han groups were investigated using this novel system, and the values of combined power of discrimination and combined power of exclusion were not less than 1–4.9026 × 10 −24 and 1–3.1123 × 10 −5 , respectively. Thus, the results indicated that the novel kit was more powerful than the previous version of the InDel kit (the AGCU InDel 50 kit). Our results suggest that the AGCU InDel 60 kit can serve as an efficient tool for human forensics and a supplementary kit for population genetics research.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
An integrated map of structural variation in 2,504 human genomes
Peter H. Sudmant, Tobias Rausch, Eugene J. Gardner et al. · Nature · 2015 · 2.7K citations · Full text