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Article

Identifying Genomic Signatures of Positive Selection to Predict Protective Genomic Loci in the Cohort of Lithuanian Clean-Up Workers of the Chornobyl Nuclear Disaster

by
Gabrielė Žukauskaitė
,
Ingrida Domarkienė
,
Aušra Matulevičienė
,
Svetlana Dauengauer-Kirlienė
,
Vaidutis Kučinskas
and
Laima Ambrozaitytė
*
Department of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Universiteto Str. 3, LT01513 Vilnius, Lithuania
*
Author to whom correspondence should be addressed.
Curr. Issues Mol. Biol. 2023, 45(4), 2972-2983; https://doi.org/10.3390/cimb45040195
Submission received: 30 January 2023 / Revised: 29 March 2023 / Accepted: 31 March 2023 / Published: 3 April 2023
(This article belongs to the Special Issue Next-Generation Sequencing (NGS) Technique and Personalized Medicine)
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Abstract

Some people resist or recover from health challenges better than others. We studied Lithuanian clean-up workers of the Chornobyl nuclear disaster (LCWC) who worked in the harshest conditions and, despite high ionising radiation doses as well as other factors, continue ageing relatively healthily. Thus, we hypothesised that there might be individual features encoded by the genome which act protectively for better adaptiveness and health that depend on unique positive selection signatures. Whole-genome sequencing was performed for 40 LCWC and a control group composed of 25 men from the general Lithuanian population (LTU). Selective sweep analysis was performed to identify genomic regions which may be under recent positive selection and determine better adaptiveness. Twenty-two autosomal loci with the highest positive selection signature values were identified. Most important, unique loci under positive selection have been identified in the genomes of the LCWC, which may influence the survival and adaptive qualities to extreme conditions, and the disaster itself. Characterising these loci provide a better understanding of the interaction between ongoing microevolutionary processes, multifactorial traits, and diseases. Studying unique groups of disease-resistant individuals could help create new insights for better, more individualised, disease diagnostics and prevention strategies.
Keywords: adaptiveness; positive selection; protective genome variation; whole-genome sequencing; RAiSD; Lithuanian clean-up workers of Chornobyl nuclear disaster; selective sweep adaptiveness; positive selection; protective genome variation; whole-genome sequencing; RAiSD; Lithuanian clean-up workers of Chornobyl nuclear disaster; selective sweep

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MDPI and ACS Style

Žukauskaitė, G.; Domarkienė, I.; Matulevičienė, A.; Dauengauer-Kirlienė, S.; Kučinskas, V.; Ambrozaitytė, L. Identifying Genomic Signatures of Positive Selection to Predict Protective Genomic Loci in the Cohort of Lithuanian Clean-Up Workers of the Chornobyl Nuclear Disaster. Curr. Issues Mol. Biol. 2023, 45, 2972-2983. https://doi.org/10.3390/cimb45040195

AMA Style

Žukauskaitė G, Domarkienė I, Matulevičienė A, Dauengauer-Kirlienė S, Kučinskas V, Ambrozaitytė L. Identifying Genomic Signatures of Positive Selection to Predict Protective Genomic Loci in the Cohort of Lithuanian Clean-Up Workers of the Chornobyl Nuclear Disaster. Current Issues in Molecular Biology. 2023; 45(4):2972-2983. https://doi.org/10.3390/cimb45040195

Chicago/Turabian Style

Žukauskaitė, Gabrielė, Ingrida Domarkienė, Aušra Matulevičienė, Svetlana Dauengauer-Kirlienė, Vaidutis Kučinskas, and Laima Ambrozaitytė. 2023. "Identifying Genomic Signatures of Positive Selection to Predict Protective Genomic Loci in the Cohort of Lithuanian Clean-Up Workers of the Chornobyl Nuclear Disaster" Current Issues in Molecular Biology 45, no. 4: 2972-2983. https://doi.org/10.3390/cimb45040195

APA Style

Žukauskaitė, G., Domarkienė, I., Matulevičienė, A., Dauengauer-Kirlienė, S., Kučinskas, V., & Ambrozaitytė, L. (2023). Identifying Genomic Signatures of Positive Selection to Predict Protective Genomic Loci in the Cohort of Lithuanian Clean-Up Workers of the Chornobyl Nuclear Disaster. Current Issues in Molecular Biology, 45(4), 2972-2983. https://doi.org/10.3390/cimb45040195

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