The Dutch Y-chromosomal landscape

Abstract Previous studies indicated existing, albeit limited, genetic-geographic population substructure in the Dutch population based on genome-wide data and a lack of this for mitochondrial SNP based data. Despite the aforementioned studies, Y-chromosomal SNP data from the Netherlands remain scarce and do not cover the territory of the Netherlands well enough to allow a reliable investigation of genetic-geographic population substructure. Here we provide the first substantial dataset of detailed spatial Y-chromosomal haplogroup information in 2085 males collected across the Netherlands and s... Mehr ...

Verfasser: Altena, Eveline
Smeding, Risha
van der Gaag, Kristiaan J.
Larmuseau, Maarten H. D.
Decorte, Ronny
Lao, Oscar
Kayser, Manfred
Kraaijenbrink, Thirsa
de Knijff, Peter
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Reihe/Periodikum: European Journal of Human Genetics ; volume 28, issue 3, page 287-299 ; ISSN 1018-4813 1476-5438
Verlag/Hrsg.: Springer Science and Business Media LLC
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29044297
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://dx.doi.org/10.1038/s41431-019-0496-0

Abstract Previous studies indicated existing, albeit limited, genetic-geographic population substructure in the Dutch population based on genome-wide data and a lack of this for mitochondrial SNP based data. Despite the aforementioned studies, Y-chromosomal SNP data from the Netherlands remain scarce and do not cover the territory of the Netherlands well enough to allow a reliable investigation of genetic-geographic population substructure. Here we provide the first substantial dataset of detailed spatial Y-chromosomal haplogroup information in 2085 males collected across the Netherlands and supplemented with previously published data from northern Belgium. We found Y-chromosomal evidence for genetic–geographic population substructure, and several Y-haplogroups demonstrating significant clinal frequency distributions in different directions. By means of prediction surface maps we could visualize (complex) distribution patterns of individual Y-haplogroups in detail. These results highlight the value of a micro-geographic approach and are of great use for forensic and epidemiological investigations and our understanding of the Dutch population history. Moreover, the previously noted absence of genetic-geographic population substructure in the Netherlands based on mitochondrial DNA in contrast to our Y-chromosome results, hints at different population histories for women and men in the Netherlands.