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Variability and additivity of read counts for aSTRs in NGS DNA profiles.
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- Author(s): Cheng K;Cheng K;Cheng K; Skillman J; Skillman J; Hickey S; Hickey S; Just R; Just R; Just R; Moreno L; Moreno L; Bright JA; Bright JA; Kelly H; Kelly H; Lin MH; Lin MH; Curran JM; Curran JM; Buckleton J; Buckleton J; Buckleton J
- Source:
Forensic science international. Genetics [Forensic Sci Int Genet] 2020 Sep; Vol. 48, pp. 102351. Date of Electronic Publication: 2020 Jul 11.- Publication Type:
Journal Article; Research Support, U.S. Gov't, Non-P.H.S.- Language:
English - Source:
- Additional Information
- Source: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101317016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-0326 (Electronic) Linking ISSN: 18724973 NLM ISO Abbreviation: Forensic Sci Int Genet Subsets: MEDLINE
- Publication Information: Original Publication: Amsterdam : Elsevier
- Subject Terms:
- Abstract: There has been an increase in the number of laboratories and researchers adopting new sequencing technologies, known as next-generation sequencing (NGS). An understanding of the behaviour of NGS DNA profiles is needed to enable for the development of probabilistic genotyping methods for the interpretation of such profiles. In this work, we investigate NGS analyte signal variation, specifically heterozygous balance and stutter variability from profiles generated using the ForenSeq™ DNA Signature Prep Kit, DNA Primer Mix B. We also investigate additivity of analyte signals in NGS profiles for overlapping allelic and stutter signals originating from the same or different contributors. We describe models that can be used to inform a continuous method for the interpretation of DNA profiling data.
(Copyright © 2020 Elsevier B.V. All rights reserved.) - Contributed Indexing: Keywords: Additivity; Forensic DNA; Heterozygous balance; NGS; Probabilistic genotyping; STRs; Signal variability
- Publication Date: Date Created: 20200719 Date Completed: 20210712 Latest Revision: 20210712
- Publication Date: 20231215
- Accession Number: 10.1016/j.fsigen.2020.102351
- Accession Number: 32682320
- Source:
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