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DNAmix 2021:实验室政策、程序及案例分析总结与数据集

DNAmix 2021: Laboratory policies, procedures, and casework scenarios summary and dataset.

作者信息

Brinkac Lauren M, Richetelli Nicole, Davoren Jonathon M, Bever Robert A, Hicklin R Austin

机构信息

Noblis, Reston, VA, USA.

Bode Technology, Lorton, VA, USA.

出版信息

Data Brief. 2023 Apr 14;48:109150. doi: 10.1016/j.dib.2023.109150. eCollection 2023 Jun.

DOI:10.1016/j.dib.2023.109150
PMID:37128591
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10147962/
Abstract

DNAmix 2021 is a large-scale study conducted to evaluate the extent of consistency and variation among forensic laboratories in the interpretation of DNA mixtures, and to assess the effects of various potential sources of variability. This study utilized a multi-phasic approach designed to collect information about participating laboratories, laboratory policies, and their standard operating procedures (SOPs). It also characterizes the degree of variation in assessments of suitability and number of contributors as well as in comparisons and statistical analyses of DNA mixture profiles. This paper specifically details the study design and the data collected in the first two phases of the study: the and the . We report on the variation in policies and SOPs for 86 forensic laboratories-including information about their DNA workflows, systems, and type of statistics reported. We also provide details regarding various case-scenario specific decisions and the nature of mixture casework for 83 forensic laboratories. The data discussed in this article provide insight into the state of the field for forensic DNA mixture interpretation policies and SOPs at the time of the study (2021-2022).

摘要

DNAmix 2021是一项大规模研究,旨在评估法医实验室在解释DNA混合物时的一致性程度和差异,并评估各种潜在变异来源的影响。本研究采用了多阶段方法,旨在收集有关参与实验室、实验室政策及其标准操作程序(SOP)的信息。它还表征了在适用性评估、贡献者数量评估以及DNA混合物图谱的比较和统计分析方面的变异程度。本文具体详细介绍了研究设计以及研究前两个阶段收集的数据:即[此处原文缺失两个阶段的具体内容]。我们报告了86个法医实验室在政策和SOP方面的差异——包括有关其DNA工作流程、系统以及所报告统计类型的信息。我们还提供了83个法医实验室关于各种特定案例场景决策以及混合物案件工作性质的详细信息。本文讨论的数据为研究期间(2021 - 2022年)法医DNA混合物解释政策和SOP的该领域状况提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f847/10147962/9f48fc5e77ec/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f847/10147962/9f48fc5e77ec/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f847/10147962/9f48fc5e77ec/gr1.jpg

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本文引用的文献

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2
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Forensic Sci Int Genet. 2019 May;40:1-8. doi: 10.1016/j.fsigen.2019.01.006. Epub 2019 Jan 15.
3
Probabilistic genotyping software: An overview.概率基因型分析软件:概述。
Genes (Basel). 2024 Jun 12;15(6):768. doi: 10.3390/genes15060768.
Forensic Sci Int Genet. 2019 Jan;38:219-224. doi: 10.1016/j.fsigen.2018.11.009. Epub 2018 Nov 11.
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NIST interlaboratory studies involving DNA mixtures (MIX05 and MIX13): Variation observed and lessons learned.NIST 实验室间涉及 DNA 混合物(MIX05 和 MIX13)的研究:观察到的变化和吸取的教训。
Forensic Sci Int Genet. 2018 Nov;37:81-94. doi: 10.1016/j.fsigen.2018.07.024. Epub 2018 Aug 1.
5
Evaluation of forensic DNA mixture evidence: protocol for evaluation, interpretation, and statistical calculations using the combined probability of inclusion.法医DNA混合证据评估:使用包含概率组合进行评估、解释和统计计算的协议
BMC Genet. 2016 Aug 31;17(1):125. doi: 10.1186/s12863-016-0429-7.
6
Application of random match probability calculations to mixed STR profiles.随机匹配概率计算在混合STR图谱中的应用。
J Forensic Sci. 2013 Mar;58(2):474-85. doi: 10.1111/1556-4029.12067. Epub 2013 Feb 20.