Suppr超能文献

来自内罗毕(肯尼亚)的线粒体DNA控制区序列:推断用于建立法医数据库的系统发育参数。

Mitochondrial DNA control region sequences from Nairobi (Kenya): inferring phylogenetic parameters for the establishment of a forensic database.

作者信息

Brandstätter Anita, Peterson Christine T, Irwin Jodi A, Mpoke Solomon, Koech Davy K, Parson Walther, Parsons Thomas J

机构信息

Institute of Legal Medicine, University of Innsbruck, 6020 Innsbruck, Austria.

出版信息

Int J Legal Med. 2004 Oct;118(5):294-306. doi: 10.1007/s00414-004-0466-z.

Abstract

Large forensic mtDNA databases which adhere to strict guidelines for generation and maintenance, are not available for many populations outside of the United States and western Europe. We have established a high quality mtDNA control region sequence database for urban Nairobi as both a reference database for forensic investigations, and as a tool to examine the genetic variation of Kenyan sequences in the context of known African variation. The Nairobi sequences exhibited high variation and a low random match probability, indicating utility for forensic testing. Haplogroup identification and frequencies were compared with those reported from other published studies on African, or African-origin populations from Mozambique, Sierra Leone, and the United States, and suggest significant differences in the mtDNA compositions of the various populations. The quality of the sequence data in our study was investigated and supported using phylogenetic measures. Our data demonstrate the diversity and distinctiveness of African populations, and underline the importance of establishing additional forensic mtDNA databases of indigenous African populations.

摘要

除美国和西欧之外的许多人群没有大型法医线粒体DNA数据库,这些数据库需要遵循严格的生成和维护准则。我们已经为内罗毕市建立了一个高质量的线粒体DNA控制区序列数据库,作为法医调查的参考数据库,并作为一种工具,在已知非洲变异的背景下研究肯尼亚序列的遗传变异。内罗毕序列表现出高度变异和低随机匹配概率,表明其可用于法医检测。将单倍群鉴定和频率与其他关于非洲或来自莫桑比克、塞拉利昂和美国的非洲裔人群的已发表研究报告进行了比较,结果表明不同人群的线粒体DNA组成存在显著差异。我们使用系统发育方法对研究中的序列数据质量进行了调查和验证。我们的数据证明了非洲人群的多样性和独特性,并强调了建立更多非洲本土人群法医线粒体DNA数据库的重要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验