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《Y 染色体揭示的卡塔尔人口的遗传结构和基因流动》

The Qatari population's genetic structure and gene flow as revealed by the Y chromosome.

机构信息

Ministry of Interior of Qatar, Doha, Qatar.

Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.

出版信息

PLoS One. 2023 Sep 1;18(9):e0290844. doi: 10.1371/journal.pone.0290844. eCollection 2023.

DOI:10.1371/journal.pone.0290844
PMID:37656680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10473524/
Abstract

The Y-chromosome has been widely used in forensic genetic applications and human population genetic studies due to its uniparental origins. A large database on the Qatari population was created for comparison with other databases from the Arabian Peninsula, the Middle East, and Africa. We provide a study of 23 Y-STR loci included in PowerPlex Y23 (Promega, USA) that were genotyped to produce haplotypes in 379 unrelated males from Qatar, a country at the crossroads of migration patterns. Overall, the most polymorphic locus provided by the Promega kit was DYS458, with a genetic diversity value of 0.85 and a haplotype diversity of 0.998924. Athey's Haplogroup Predictor tool was used to predict haplogroups from Y-STR haplotypes in the Qatari population. In a median-joining network, the haplogroup J1 predominance (49%) in Qatar generated a star-like expansion cluster. The graph of population Q-matrix was developed using Y-STR data from 38 Middle Eastern and 97 African populations (11,305 individuals), and it demonstrated a stronger sub-grouping of countries within each ethnic group and showed the effect of Arabs on the indigenous Berbers of North Africa. The estimated migration rate between the Qatari and other Arabian populations was inferred using Bayesian coalescence theory in the Migrate-n program. According to the Gene Flow study, the main migration route was from Yemen to Kuwait through Qatar. Our research, using the PowerPlex Y23 database, shows the importance of gene diversity, as well as regional and social structuring, in determining the utility of demographic and forensic databases.

摘要

Y 染色体因其单亲遗传起源,已广泛应用于法医遗传学应用和人类群体遗传学研究。由于其独特的起源,已经创建了一个关于卡塔尔人口的大型数据库,用于与来自阿拉伯半岛、中东和非洲的其他数据库进行比较。我们提供了一项关于 23 个 Y-STR 基因座的研究,这些基因座包含在 PowerPlex Y23(美国 Promega)中,对来自卡塔尔的 379 名无关男性进行基因分型以产生单体型。总体而言,Promega 试剂盒中最具多态性的基因座是 DYS458,遗传多样性值为 0.85,单体型多样性为 0.998924。使用 Athey 的单倍群预测工具从卡塔尔人口的 Y-STR 单体型预测单倍群。在中位连接网络中,J1 单倍群(49%)在卡塔尔占主导地位,产生了一个星形扩展簇。使用来自 38 个中东和 97 个非洲人群(11305 人)的 Y-STR 数据开发了人口 Q 矩阵图,该图显示了每个族群内国家的分组更明显,并显示了阿拉伯人对北非本地柏柏尔人的影响。使用 Migrate-n 程序中的贝叶斯合并理论推断了卡塔尔和其他阿拉伯人群之间的估计迁移率。根据基因流动研究,主要的迁移路线是从也门经科威特通过卡塔尔。我们的研究使用 PowerPlex Y23 数据库表明,基因多样性以及区域和社会结构对于确定人口和法医数据库的实用性非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/13b4e7be889a/pone.0290844.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/07d861fc5a36/pone.0290844.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/89c5f237d5bb/pone.0290844.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/39ec5075bc64/pone.0290844.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/5ba9746d3547/pone.0290844.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/ef64b21429e7/pone.0290844.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/b7fe4ed55d00/pone.0290844.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/13b4e7be889a/pone.0290844.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/07d861fc5a36/pone.0290844.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/bea52687c536/pone.0290844.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/9c8107ef45ac/pone.0290844.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/89c5f237d5bb/pone.0290844.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/39ec5075bc64/pone.0290844.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/5ba9746d3547/pone.0290844.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/ef64b21429e7/pone.0290844.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/b7fe4ed55d00/pone.0290844.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6471/10473524/13b4e7be889a/pone.0290844.g009.jpg

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