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Inferring Effective Population Size and Divergence Time in the Lithuanian Population According to High-Density Genotyping Data.
Urnikyte, Alina; Molyte, Alma; Pranckeviciene, Erinija; Kucinskiene, Zita Ausrele; Kucinskas, Vaidutis.
Afiliação
  • Urnikyte A; Department of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Santariskiu St. 2, LT-08661 Vilnius, Lithuania.
  • Molyte A; Department of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Santariskiu St. 2, LT-08661 Vilnius, Lithuania.
  • Pranckeviciene E; Department of Information Systems, Faculty of Fundamentals Sciences, Vilnius Gediminas Technical University Sauletekio al. 11, LT-10223 Vilnius, Lithuania.
  • Kucinskiene ZA; Department of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Santariskiu St. 2, LT-08661 Vilnius, Lithuania.
  • Kucinskas V; Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Ciurlionio St. 21, LT-03101 Vilnius, Lithuania.
Genes (Basel) ; 11(3)2020 03 10.
Article em En | MEDLINE | ID: mdl-32164396
ABSTRACT
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-Aukstaitija and Zemaitija 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 Aukstaitija and Zemaitija showed significant differences between these two regions of Lithuania.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População / Evolução Molecular / Genótipo Limite: Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População / Evolução Molecular / Genótipo Limite: Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article