Abstract：
This study evaluates the performance of analysing surface DNA samples using massively parallel sequencing (MPS) compared to traditional capillary electrophoresis (CE). A total of 30 samples were collected from various surfaces in an office environment and were analysed with CE and MPS. These were compared against 60 reference samples (office inhabitants). To identify contributors, likelihood ratios (LRs) were calculated for MPS and CE data using the probabilistic genotyping software MPSproto and EuroForMix respectively. Although a higher number of sequences/peaks were observed per DNA profile in MPS compared to CE, LR values were found to be lower for MPS data formats. This might be the result of the increased complexity of MPS data, along with a possible elevation of unknown alleles and/or artefacts. The study highlights avenues for improving MPS data quality and analysis to facilitate more robust interpretation of challenging casework-like samples.
摘要：
与传统的毛细管电泳（CE）相比，本研究评估了使用大规模并行测序（MPS）分析表面DNA样品的性能。从办公室环境中的各个表面收集了总共30个样品，并用CE和MPS进行了分析。将这些样本与60个参考样本(办公室居民)进行了比较。为了确定贡献者，分别使用概率基因分型软件MPSproto和EuroForMix计算MPS和CE数据的似然比(LR).尽管与CE相比，MPS中每个DNA图谱观察到更多的序列/峰，发现MPS数据格式的LR值较低。这可能是MPS数据复杂性增加的结果，以及未知等位基因和/或人工制品的可能升高。该研究强调了改善MPS数据质量和分析的途径，以促进对具有挑战性的类似案例样本的更可靠的解释。
