Putative protective genomic variation in the Lithuanian population
Gabrielė Žukauskaitė1, Ingrida Domarkienė1, Tautvydas Rančelis1
1Vilnius University, Faculty of Medicine, Institute of Biomedical Sciences, Department of Human and Medical Genetics, Vilnius, Lithuania.
Genomic variants influencing disease protection differ across populations. This study identified specific genetic variants in Lithuanians, suggesting potential protection against type 2 diabetes, despite high disease rates.
Area of Science:
- Population genetics
- Human evolution
- Genomics
Background:
- Genomic effect variants related to survival and disease protection exhibit population-specific variations due to microevolutionary forces.
- Understanding these variations is crucial for comprehending disease etiology and developing personalized medicine.
Purpose of the Study:
- To analyze the diversity and distribution of genetic effect variants within a Lithuanian population.
- To investigate potential positive selection acting on these variants and their association with disease protection.
Main Methods:
- Genotyping of 475 Lithuanian individuals using high-throughput scanning and sequencing.
- Allele frequency analysis of pre-selected effect variants against the single nucleotide polymorphism database.
- Comparative analysis with primate species to identify derived and potentially protective alleles.
- Positive selection analysis to confirm protective effects.
Main Results:
- Four variants showed significantly different frequencies compared to European populations; two others were borderline significant.
- A specific effect variant in the SLC30A8 gene was identified as potentially protective against type 2 diabetes.
- The study highlights a paradox of high type 2 diabetes rates alongside potentially protective variants in the Lithuanian population.
Conclusions:
- Identification of population-specific genomic variants advances understanding of microevolutionary processes and disease mechanisms.
- Further research is needed to elucidate interactions between environmental factors, regulatory regions, and genome variation in disease.
- These findings represent a step towards personalized medicine approaches tailored to specific populations.
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