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DNA identification of human remains in Disaster Victim Identification (DVI): An efficient sampling method for muscle, bone, bone marrow and teeth

机译:灾难受害人识别(DVI)中的DNA识别人类:肌肉,骨,骨髓和牙齿的有效采样方法

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In disaster victim identification (DVI), DNA profiling is considered to be one of the most reliable and efficient means to identify bodies or separated body parts. This requires a post mortem DNA sample, and an ante mortem DNA sample of the presumed victim or their biological relative(s). Usually the collection of an adequate ante mortem sample is technically simple, but the acquisition of a good quality post mortem sample under unfavourable DVI circumstances is complicated due to the variable degree of preservation of the human remains and the high risk of DNA (cross) contamination. This paper provides the community with an efficient method to collect post-mortem DNA samples from muscle, bone, bone marrow and teeth, with a minimal risk of contamination. Our method has been applied in a recent, challenging DVI operation (i.e. the identification of the 298 victims of the MH17 airplane crash in 2014). 98,2% of the collected PM samples provided the DVI team with highly informative DNA genotyping results without the risk of contamination and consequent mistyping the victim's DNA. Moreover, the method is easy, cheap and quick. This paper provides the DVI community with a step-wise instructions with recommendations for the type of tissue to be sampled and the site of excision (preferably the upper leg). Although initially designed for DVI purposes, the method is also suited for the identification of individual victims. (c) 2018 Elsevier B.V. All rights reserved.
机译:在灾难受害者身份(DVI)中,DNA分析被认为是识别体或分离体部位的最可靠和有效的手段之一。这需要验尸DNA样品和假定受害者或其生物学相对的抗腐蚀DNA样品。通常,采集适当的抗腐蚀样品在技术上简单,但由于人类残骸的可变程度和DNA(交叉)污染的高风险,收购了在不利的DVI情况下的良好质量验验样品是复杂的。本文以高效的方法为社区提供了从肌肉,骨,骨髓和牙齿的验尸DNA样本中收集验尸,具有最小的污染风险。我们的方法已在最近挑战的DVI操作中应用(即2014年MH17飞机崩溃的298名受害者的识别)。 98,2%的收集的PM样品提供了DVI团队,具有高度信息丰富的DNA基因分型结果,没有污染的风险,并因此缺省受害者的DNA。而且,该方法很容易,便宜且快速。本文提供了DVI社区,具有逐步指示,具有用于所采样的组织类型的建议以及切除的部位(优选上腿)。虽然最初设计用于DVI目的,但该方法也适用于识别各个受害者。 (c)2018 Elsevier B.v.保留所有权利。

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