Salas Antonio, Carracedo Angel, Macaulay Vincent, Richards Martin, Bandelt Hans-Jürgen
Unidade de Xenética, Instituto de Medicina Legal, Facultade de Medicina, 15782 Universidade de Santiago de Compostela, Centro Nacional de Xenotipado (CeGen), Hospital Clínico Universitario, 15706 Galicia, Spain.
Biochem Biophys Res Commun. 2005 Sep 30;335(3):891-9. doi: 10.1016/j.bbrc.2005.07.161.
Several suggestions have been made for avoiding errors in mitochondrial DNA (mtDNA) sequencing and documentation. Unfortunately, the current clinical, forensic, and population genetic literature on mtDNA still delivers a large number of studies with flawed sequence data, which, in extreme cases, damage the whole message of a study. The phylogenetic approach has been shown to be useful for pinpointing most of the errors. However, many geneticists, especially in the forensic and medical fields, are not familiar with either effective search strategies or the evolutionary terminology. We here provide a manual that should help prevent errors at any stage by re-examining data fresh from the sequencer in the light of previously published data. A fictitious case study of a European mtDNA data set (albeit composed from the literature) then demonstrates the steps one has to go through in order to assess the quality of sequencing and documentation.
针对避免线粒体DNA(mtDNA)测序及记录中的错误,已提出了若干建议。遗憾的是,当前关于mtDNA的临床、法医及群体遗传学文献中,仍有大量研究存在有缺陷的序列数据,在极端情况下,这些错误会损害整个研究的信息。系统发育方法已被证明有助于查明大多数错误。然而,许多遗传学家,尤其是法医和医学领域的遗传学家,对有效的搜索策略或进化术语都不熟悉。我们在此提供一份手册,通过根据先前发表的数据重新审视来自测序仪的新数据,应有助于在任何阶段预防错误。随后,对一个欧洲mtDNA数据集(尽管由文献组成)进行的虚拟案例研究展示了评估测序和记录质量所需经历的步骤。