Gouy Alexandre, Zieger Martin
Computational and Molecular Population Genetics, Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Institute of Forensic Medicine, Forensic Molecular Biology Dpt., University of Bern, Sulgenauweg 40, 3007 Bern, Switzerland.
Forensic Sci Int Genet. 2017 Sep;30:148-151. doi: 10.1016/j.fsigen.2017.07.007. Epub 2017 Jul 15.
Population data in forensic genetics has to be checked for a variety of statistical parameters before it can be employed for case work. A lot of very powerful statistical tools are available for this task, most of them developed by labs having their research focus on population genetics or evolution. However, most of these programs require a substantial amount of experience. In addition, to our knowledge, none of the freely available programs calculates all the common parameters for a population study in forensic genetics at once, based on a single input file. We present here a convenient online tool that fills this gap. STRAF (STR Analysis for Forensics) provides an intuitive interface and input file format and computes all the relevant parameters for a classical population study based on autosomal STR data at once and in a convenient way. In addition, STRAF includes a PCA module that can be used for population substructure detection or quality control. The results generated by the program were verified by recalculating parameters from an already published population study.
法医遗传学中的群体数据在用于实际案件工作之前，必须检查各种统计参数。有许多非常强大的统计工具可用于此任务，其中大多数是由专注于群体遗传学或进化研究的实验室开发的。然而，这些程序中的大多数都需要大量经验。此外，据我们所知，没有一个免费可用的程序能基于单个输入文件一次性计算法医遗传学群体研究的所有常见参数。我们在此展示一个填补这一空白的便捷在线工具。STRAF（法医STR分析）提供直观的界面和输入文件格式，并能基于常染色体STR数据一次性便捷地计算经典群体研究的所有相关参数。此外，STRAF包括一个可用于群体亚结构检测或质量控制的主成分分析（PCA）模块。该程序生成的结果通过重新计算已发表的群体研究中的参数进行了验证。
