アカネ アツシ   AKANE ATSUSHI
  赤根 敦
   所属   関西医科大学  法医学講座
   職種   教授
論文種別 原著(症例報告除く)
言語種別 英語
査読の有無 その他(不明)
表題 Evaluation of probability distribution models for stutter ratios in the typing system of GlobalFiler and 3500xL Genetic Analyzer
掲載誌名 正式名:Legal Medicine
略  称:Leg Med
ISSNコード:13446223/18734162
掲載区分国外
巻・号・頁 52,pp.101906
著者・共著者 Manabe S, Fujii K, Fukagawa T, Mizuno N, Sekiguchi K, Inoue K, Hashiyada M, Akane A, Tamaki K.
発行年月 2021/09
概要 As DNA typing systems have become increasingly sensitive in recent years,
probability distribution models for back, forward, double-back, and minus 2-nt
stutter ratios have been desired to be considered in DNA evidence interpretation
using specific software programs. However, experimental investigations have been
insufficient, especially for forward, double-back, and minus 2-nt stutters. In
this study, we experimentally reevaluated the probability distribution models
for each stutter ratio in the typing systems of GlobalFiler™ PCR Amplification
Kit and 3500xL Genetic Analyzer from Thermo Fisher Scientific. In addition, to
enhance the reliability of longest uninterrupted stretch (LUS) values and
corrected allele numbers used in previously developed models for stutter ratios
using sequence information (i.e., LUS model and multi-seq model), we propose the
weighted average of LUS values and corrected allele numbers based on the number
of observations in sequence-based population data. Back stutter ratios
demonstrated a positive correlation with allele numbers (allele model) in eight
loci, LUS values (LUS model) in eight loci, and corrected allele numbers
(multi-seq model) in five loci. The forward stutter ratios (FSRs) of D22S1045
followed the LUS model. FSRs other than D22S1045 and double-back stutter ratios
followed the LUS model by considering multiple loci together. Minus 2-nt stutter
ratios observed in SE33 and D1S1656 did not increase with the increase in the
allele numbers. The adopted models for each stutter ratio can be implemented in
software programs for DNA evidence interpretation and enable a reliable
interpretation of crime stain profiles in forensic caseworks.
DOI 10.1016/j.legalmed.2021.101906
PMID 34015722