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

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.

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Publication Details

Journal
European Journal of Human Genetics
Published
2025-05-08
DOI
https://doi.org/10.1038/s41431-025-01854-5
Citations
1
Primary Topic
Forensic and Genetic Research
Type
article
Field-Weighted Citation Impact
1.82

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article

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

Bettina Dunkelmann, Jon H. Wetton, Walther Parson, Simon Azonbakin et al.
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European Journal of Human Genetics
Forensic and Genetic Research
1.82
article

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

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

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.

European Journal of Human GeneticsVol. 33(7)
University of Modena and Reggio Emilia (IT), Uppsala University (SE), Pennsylvania State University (US), National Institute of Standards and Technology (US), Innsbruck Medical University (AT), University of Leicester (GB), National University of Lesotho (LS), University of Salzburg (AT), Universität Innsbruck (AT), Universidad de Guadalajara (MX), University of Zurich (CH), Aristotle University of Thessaloniki (GR), University of Szeged (HU), Science for Life Laboratory (SE), Erasmus MC (NL), Institute for Anthropological Research (HR), Centre For Human Genetics (IN), National Center for Biotechnology (KZ), Center for Human Genetics (US), Institute of Forensic Science (CN), University Hospital Cologne (DE), Police of the Czech Republic (CZ), University of Tartu (EE), Universidade da Madeira (PT), Nazarbayev University (KZ), Gdańsk Medical University (PL), National Research Institute of Police Science (JP), Ludwig-Maximilians-Universität München (DE), University of the Western Cape (ZA), University of the Philippines Diliman (PH), Erasmus University Rotterdam (NL)
U.S. Department of Commerce, European Commission, Eesti Teadusagentuur, University of the Philippines, Tartu Ülikool, New Partnership for Africa's Development, Medizinische Universität Innsbruck, Universität Innsbruck, National Institute of Standards and Technology, Horizon 2020 Framework Programme
Openalex Percentile: Top 16%
Forensic and Genetic Research
1.82
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