| Title |
Putative protective genomic variation in the Lithuanian population / |
| Authors |
Žukauskaitė, Gabrielė ; Domarkienė, Ingrida ; Rančelis, Tautvydas ; Kavaliauskienė, Ingrida ; Baronas, Karolis ; Kučinskas, Vaidutis ; Ambrozaitytė, Laima |
| DOI |
10.1590/1678-4685-gmb-2023-0030 |
| Full Text |
|
| Is Part of |
Genetics and molecular biology.. Ribeirão Preto : Sociedade Brasileira de Genética. 2024, vol. 47, iss. 2, art. no. e20230030, p. [1-9].. ISSN 1415-4757. eISSN 1678-4685 |
| Keywords [eng] |
Allele frequency analysis ; complex diseases ; effect variants ; genotyping ; positive selection ; protective alleles |
| Abstract [eng] |
Genomic effect variants associated with survival and protection against complex diseases vary between populations due to microevolutionary processes. The aim of this study was to analyse diversity and distribution of effect variants in a context of potential positive selection. In total, 475 individuals of Lithuanian origin were genotyped using high-throughput scanning and/or sequencing technologies. Allele frequency analysis for the pre-selected effect variants was performed using the catalogue of single nucleotide polymorphisms. Comparison of the pre-selected effect variants with variants in primate species was carried out to ascertain which allele was derived and potentially of protective nature. Recent positive selection analysis was performed to verify this protective effect. Four variants having significantly different frequencies compared to European populations were identified while two other variants reached borderline significance. Effect variant in SLC30A8 gene may potentially protect against type 2 diabetes. The existing paradox of high rates of type 2 diabetes in the Lithuanian population and the relatively high frequencies of potentially protective genome variants against it indicate a lack of knowledge about the interactions between environmental factors, regulatory regions, and other genome variation. Identification of effect variants is a step towards better understanding of the microevolutionary processes, etiopathogenetic mechanisms, and personalised medicine. |
| Published |
Ribeirão Preto : Sociedade Brasileira de Genética |
| Type |
Journal article |
| Language |
English |
| Publication date |
2024 |
| CC license |
|
