Title Inferring effective population size and divergence time in the Lithuanian population according to high-density genotyping data /
Authors Urnikytė, Alina ; Molytė, Alma ; Pranckevičienė, Erinija ; Kučinskienė, Zita Aušrelė ; Kučinskas, Vaidutis
DOI 10.3390/genes11030293
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Is Part of Genes.. Basel : MDPI. 2020, vol. 11, iss. 3, art. no. 293, p. 1-10.. ISSN 2073-4425
Keywords [eng] effective population size ; divergence time ; Lithuanian population
Abstract [eng] The prehistory of the Lithuanian population and genetic relationship to other populations are poorly studied. Thus, the Lithuanian population, as an object of study, is interesting due to its partial isolation with genetic distinctiveness within the European context and with preserved ancient genetic composition. The main objects of this study was to infer demographic parameters, effective population size (Ne), and divergence time using high-density single nucleotide polymorphism (SNP) genotyping data generated with the Illumina HumanOmmiExpress-12v1.1 array in 295 individuals from the Lithuanian population and to compare our data with other populations from the Human Genome Cell Line Diversity Panel (HGDP-CEPH). We also aimed to reconstruct past events between the main ethnolinguistic regions—Aukštaitija and Žemaitija of Lithuania. Historically, these regions probably developed as two independent Baltic tribes. Our results of Ne in the Lithuanian population through time demonstrated a substantial reduction of Ne over the 150,000–25,000 years before present (YBP). The estimated long-term Ne of the Lithuanian population is quite low—it equals 5404, which likely is a consequence of the bottlenecks associated with the last glacial period of 25,000–12,000 YBP in Europe. The obtained divergence time estimates between the study populations are in agreement with recent studies. The reconstructed past events in Aukštaitija and Žemaitija showed significant differences between these two regions of Lithuania.
Published Basel : MDPI
Type Journal article
Language English
Publication date 2020
CC license CC license description