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利用 55 个 AISNPs 研究欧洲、地中海和西南亚人群的遗传关系。

Genetic relationships of European, Mediterranean, and SW Asian populations using a panel of 55 AISNPs.

机构信息

Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.

Turkish Cypriot DNA Laboratory, Committee on Missing Persons in Cyprus Turkish Cypriot Member Office, Nicosia, North Cyprus, Turkey.

出版信息

Eur J Hum Genet. 2019 Dec;27(12):1885-1893. doi: 10.1038/s41431-019-0466-6. Epub 2019 Jul 8.

Abstract

The set of 55 ancestry informative SNPs (AISNPs) originally developed by the Kidd Lab has been studied on a large number of populations and continues to be applied to new population samples. The existing reference database of population samples allows the relationships of new population samples to be inferred on a global level. Analyses show that these autosomal markers constitute one of the better panels of AISNPs. Continuing to build this reference database enhances its value. Because more than half of the 25 ethnic groups recently studied with these AISNPs are from Southwest Asia and the Mediterranean region, we present here various analyses focused on populations from these regions along with selected reference populations from nearby regions where genotype data are available. Many of these ethnic groups have not been previously studied for forensic markers. Data on populations from other world regions have also been added to the database but are not included in these focused analyses. The new population samples added to ALFRED and FROG-kb increase the total to 164 population samples that have been studied for all 55 AISNPs.

摘要

由 Kidd 实验室最初开发的 55 个种族信息单核苷酸多态性(AISNP)已在大量人群中进行了研究,并继续应用于新的人群样本。现有的人群样本参考数据库允许在全球范围内推断新人群样本的关系。分析表明,这些常染色体标记构成了较好的 AISNP 面板之一。继续构建这个参考数据库可以提高其价值。由于最近使用这些 AISNPs 研究的 25 个族群中,有一半以上来自西南亚和地中海地区,因此我们在这里提供了针对这些地区的各种分析,以及来自附近有基因型数据的地区的选定参考人群。其中许多族群以前没有针对法医标记进行过研究。来自世界其他地区的人群数据也已添加到数据库中,但未包含在这些重点分析中。添加到 ALFRED 和 FROG-kb 的新人群样本使总共研究了所有 55 个 AISNP 的 164 个人群样本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59bd/6871633/472d61f8b5e7/41431_2019_466_Fig1_HTML.jpg

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