Patterns of genetic structure and adaptive positive selection in the Lithuanian population from high-density SNP data

Urnikyte, Alina; Flores-Bello, André; Mondal, Mayukh, 1989-; Molyte, Alma; Comas, David, 1969-; Calafell i Majó, Francesc; Bosch Fusté, Elena; Kučinskas, Vaidutis

doi:http://dx.doi.org/10.1038/s41598-019-45746-3

Patterns of genetic structure and adaptive positive selection in the Lithuanian population from high-density SNP data

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Urnikyte A, Flores-Bello A, Mondal M, Molyte A, Comas D, Calafell F et al. Patterns of genetic structure and adaptive positive selection in the Lithuanian population from high-density SNP data. Sci Rep. 2019;9(1):9163. DOI: 10.1038/s41598-019-45746-3

Abstract

The analysis of geographically specific regions and the characterization of fine-scale patterns of genetic diversity may facilitate a much better understanding of the microevolutionary processes affecting local human populations. Here we generated genome-wide high-density SNP genotype data in 425 individuals from six geographical regions in Lithuania and combined our dataset with available ancient and modern data to explore genetic population structure, ancestry components and signatures of natural positive selection in the Lithuanian population. Our results show that Lithuanians are a homogenous population, genetically differentiated from neighbouring populations but within the general expected European context. Moreover, we not only confirm that Lithuanians preserve one of the highest proportions of western, Scandinavian and eastern hunter-gather ancestry components found in European populations but also that of an steppe Early to Middle Bronze Age pastoralists, which together configure the genetic distinctiveness of the Lithuanian population. Finally, among the top signatures of positive selection detected in Lithuanians, we identified several candidate genes related with diet (PNLIP, PPARD), pigmentation (SLC24A5, TYRP1 and PPARD) and the immune response (BRD2, HLA-DOA, IL26 and IL22).