UYSD: a novel data repository accessible via public website for worldwide population frequencies of Y-SNP haplogroups

IF 4.6 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Arwin Ralf, Dion Zandstra, Bram van Wersch, Zehra Köksal, Maarten H. D. Larmuseau, Alexandra Rosa, Mark A. Jobling, Maria E. D’Amato, Cornelius Courts, Mario Gysi, Cordula Haas, Rodrigo Flores, Maximilian Neis, Jon H. Wetton, Kevin Kiesler, Adam Ameur, Simon Azonbakin, Alexandra Bôžiková, Andrej Choma, Maria Corazon De Ungria, Beatrice Corradini, Catarina Cruz, Bettina Dunkelmann, Gianmarco Ferri, Jan Fleckhaus, Domniki Fragou, Noah Gaens, Rita Gonçalves, Dubravka Havaš Auguštin, Katharina Helm, Petra Hölzl-Müller, Michał Kaliszan, Mohaimin Kasu, Leda Kovatsi, Mpasi Lesaoana, Natsuko Mizuno, Franz Neuhuber, Jana Nováčková, Alena Ňuňuková, Horolma Pamjav, Walther Parson, Yerlan Ramankulov, Héctor Rangel Villalobos, Krzysztof Rębała, Siiri Rootsi, Jazelyn Salvador, Jelena Šarac, Carolyn R. Steffen, Vlastimil Stenzl, Tibor Török, Richard Villems, Haruhiko Watahiki, Maxat Zhabagin, Peter M. Schneider, Manfred Kayser
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引用次数: 0

Abstract

For decades, there has been scientific interest in the variation and geographic distribution of paternal lineages associated with the human Y chromosome. However, the relevant data have been dispersed across numerous publications, making it difficult to consolidate. Additionally, understanding the relationships between different variants, and the tools used to analyze them, have evolved over time, further complicating efforts to harmonize this information. The Universal Y-SNP Database (UYSD) marks a substantial advancement by providing a comprehensive and accessible platform for Y-SNP and haplogroup data from populations around the world. UYSD harmonizes diverse datasets into a unified repository, facilitating the exploration of global Y-chromosomal variation. The platform handles data generated with both high- and low-throughput technology and is compatible with the automated analysis software tool, Yleaf v3. Key functionalities include the ability to: i) visualize haplogroup distributions on an interactive world map, ii) estimate haplogroup frequencies in geographic regions with sparse data through interpolation, and iii) display detailed phylogenetic trees of Y-chromosomal haplogroups. Currently, UYSD encompasses data from over 6,600 males across 27 populations. This dataset largely aligns with known global Y-haplogroup patterns, but also reveals unexplored finer-scale geographic variations. While the present dataset is largely European-centered, UYSD is designed for ongoing expansion by the scientific community, aiming to include more global data and higher-resolution population sequencing data. The platform thus offers valuable insights into human genetic diversity and migration patterns, serving several fields of research such as: human population genetics, genetic anthropology, ancient DNA analysis and forensic genetics.

Abstract Image

UYSD:一个新的数据库,可通过公共网站访问全球Y-SNP单倍群的人口频率。
几十年来,科学界一直对与人类Y染色体相关的父系变异和地理分布感兴趣。但是,相关数据分散在许多出版物中,因此难以整合。此外,随着时间的推移,对不同变体之间关系的理解以及用于分析它们的工具也在不断发展,这使得协调这些信息的工作变得更加复杂。通用Y-SNP数据库(UYSD)标志着一个实质性的进步,它为来自世界各地人群的Y-SNP和单倍群数据提供了一个全面和可访问的平台。UYSD将不同的数据集统一到一个统一的存储库中,促进对全球y染色体变异的探索。该平台处理高通量和低通量技术生成的数据,并与自动分析软件工具Yleaf v3兼容。主要功能包括:i)在交互式世界地图上可视化单倍群分布,ii)通过插值方法利用稀疏数据估计地理区域的单倍群频率,以及iii)显示y染色体单倍群的详细系统发育树。目前,UYSD涵盖了来自27个人群的6600多名男性的数据。该数据集在很大程度上与已知的全球y -单倍群模式一致,但也揭示了未被探索的更精细尺度的地理差异。虽然目前的数据集主要以欧洲为中心,但UYSD是为科学界的持续扩展而设计的,旨在包括更多的全球数据和更高分辨率的人口测序数据。因此,该平台提供了有关人类遗传多样性和迁移模式的宝贵见解,服务于几个研究领域,如:人类种群遗传学、遗传人类学、古代DNA分析和法医遗传学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Human Genetics
European Journal of Human Genetics 生物-生化与分子生物学
CiteScore
9.90
自引率
5.80%
发文量
216
审稿时长
2 months
期刊介绍: The European Journal of Human Genetics is the official journal of the European Society of Human Genetics, publishing high-quality, original research papers, short reports and reviews in the rapidly expanding field of human genetics and genomics. It covers molecular, clinical and cytogenetics, interfacing between advanced biomedical research and the clinician, and bridging the great diversity of facilities, resources and viewpoints in the genetics community. Key areas include: -Monogenic and multifactorial disorders -Development and malformation -Hereditary cancer -Medical Genomics -Gene mapping and functional studies -Genotype-phenotype correlations -Genetic variation and genome diversity -Statistical and computational genetics -Bioinformatics -Advances in diagnostics -Therapy and prevention -Animal models -Genetic services -Community genetics
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