| Literature DB >> 33958743 |
Anne-Mai Ilumäe1,2, Helen Post3,4, Siiri Rootsi3, Richard Villems3,4, Rodrigo Flores3, Monika Karmin3,5, Hovhannes Sahakyan3,6, Mayukh Mondal3, Francesco Montinaro3,7, Lauri Saag3, Concetta Bormans8, Luisa Fernanda Sanchez8, Adam Ameur9,10, Ulf Gyllensten9, Mart Kals11, Reedik Mägi11, Luca Pagani3,12, Doron M Behar3,8.
Abstract
The most frequent Y-chromosomal (chrY) haplogroups in northern and eastern Europe (NEE) are well-known and thoroughly characterised. Yet a considerable number of men in every population carry rare paternal lineages with estimated frequencies around 5%. So far, limited sample-sizes and insufficient resolution of genotyping have obstructed a truly comprehensive look into the variety of rare paternal lineages segregating within populations and potential signals of population history that such lineages might convey. Here we harness the power of massive re-sequencing of human Y chromosomes to identify previously unknown population-specific clusters among rare paternal lineages in NEE. We construct dated phylogenies for haplogroups E2-M215, J2-M172, G-M201 and Q-M242 on the basis of 421 (of them 282 novel) high-coverage chrY sequences collected from large-scale databases focusing on populations of NEE. Within these otherwise rare haplogroups we disclose lineages that began to radiate ~1-3 thousand years ago in Estonia and Sweden and reveal male phylogenetic patterns testifying of comparatively recent local demographic expansions. Conversely, haplogroup Q lineages bear evidence of ancient Siberian influence lingering in the modern paternal gene pool of northern Europe. We assess the possible direction of influx of ancestral carriers for some of these male lineages. In addition, we demonstrate the congruency of paternal haplogroup composition of our dataset with two independent population-based cohorts from Estonia and Sweden.Entities:
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Year: 2021 PMID: 33958743 PMCID: PMC8484622 DOI: 10.1038/s41431-021-00897-8
Source DB: PubMed Journal: Eur J Hum Genet ISSN: 1018-4813 Impact factor: 5.351