Genetic polymorphism of 27 Y-STR loci in Kazakh populations from Central Kazakhstan.

BACKGROUND: The haplotypes from Northern, Southern, Eastern, and Western Kazakhstan, analysed for 27 Y-STR loci, have been contributed to the Y-Chromosome STR Haplotype Reference Database, while the genetic profile of Central Kazakhstan remains inadequately explored. AIM: To investigate the genetic diversity of 27 Y-STR loci in the Kazakh populations from Central Kazakhstan. SUBJECTS AND METHODS: A total of 112 unrelated Central Kazakh males were genotyped via the Yfiler Plus kit. Data analysis yielded haplotype and allele frequencies, and forensic parameters. Genetic distances were graphically represented by a multidimensional scaling plot, with genetic linkages further elucidated through Nei's distance dendrograms and Median-joining networks. RESULTS: A total of 102 haplotypes were detected, of which 96 were unique. The haplotype diversity and discrimination capacity were 0.997 and 0.91, respectively. Central Kazakhstan displays a unique cluster in analyses, underscoring its distinct Y-chromosome diversity compared to other Kazakh regions. The analysis of the Naiman tribe, predominantly residing in Central, Southern and Eastern Kazakhstan, revealed three genetic clusters of distinct haplogroups associated with their clans. CONCLUSIONS: The identified haplotypes will enhance the existing reference database for Y-chromosomal studies in Kazakhstan, offering a robust tool for future research in population genetics, forensic science and genetic genealogy.

Genetic polymorphism of Y-chromosome in Kazakh populations from Southern Kazakhstan.

BACKGROUND: The Kazakhs are one of the biggest Turkic-speaking ethnic groups, controlling vast swaths of land from the Altai to the Caspian Sea. In terms of area, Kazakhstan is ranked ninth in the world. Northern, Eastern, and Western Kazakhstan have already been studied in relation to genetic polymorphism 27 Y-STR. However, current information on the genetic polymorphism of the Y-chromosome of Southern Kazakhstan is limited only by 17 Y-STR and no geographical study of other regions has been studied at this variation. RESULTS: The Kazakhstan Y-chromosome Haplotype Reference Database was expanded with 468 Kazakh males from the Zhambyl and Turkestan regions of South Kazakhstan by having their 27 Y-STR loci and 23 Y-SNP markers analyzed. Discrimination capacity (DC = 91.23%), haplotype match probability (HPM = 0.0029) and haplotype diversity (HD = 0.9992) are defined. Most of this Y-chromosome variability is attributed to haplogroups C2a1a1b1-F1756 (2.1%), C2a1a2-M48 (7.3%), C2a1a3-F1918 (33.3%) and C2b1a1a1a-M407 (6%). Median-joining network analysis was applied to understand the relationship between the haplotypes of the three regions. In three genetic layer can be described the position of the populations of the Southern region of Kazakhstan-the geographic Kazakh populations of Kazakhstan, the Kazakh tribal groups, and the people of bordering Asia. CONCLUSION: The Kazakhstan Y-chromosome Haplotype Reference Database was formed for 27 Y-STR loci with a total sample of 1796 samples of Kazakhs from 16 regions of Kazakhstan. The variability of the Y-chromosome of the Kazakhs in a geographical context can be divided into four main clusters-south, north, east, west. At the same time, in the genetic space of tribal groups, the population of southern Kazakhs clusters with tribes from the same region, and genetic proximity is determined with the populations of the Hazaras of Afghanistan and the Mongols of China.

Genetic polymorphism of 27 Y-STR loci in Kazakh populations from Eastern Kazakhstan.

BACKGROUND: The establishment of a national haplotype database is important for forensic and genetic applications and requires studying genetic polymorphisms at Y-STR sites. However, the genetic structure of the Eastern Kazakhstan population is poorly characterised. AIM: To investigate the genetic polymorphisms of 27 Y-STR loci in the Kazakh population from Eastern Kazakhstan and analyse the population genetic relationships of the Eastern Kazakhs with other populations. SUBJECTS AND METHODS: The Yfiler Plus kit was utilised to genotype 246 healthy, unrelated males from Eastern Kazakhstan. Based on the raw data, haplotype and allele frequencies along with forensic parameters were calculated, and an MDS plot was constructed. RESULTS: A total of 207 haplotypes were detected, of which 186 were unique. The haplotype diversity and discrimination capacity were 0.997 and 0.841, respectively. Population comparisons showed that Eastern Kazakhs have close genetic relationships with Kazakhs from Xinjiang, China. At the same time, a difference was found between the studied population and the previous one in the same part of Kazakhstan. CONCLUSIONS: The obtained haplotypes will help to expand the Kazakhstan Y-chromosome reference database and will be useful for future genetic research and forensic applications.

Y-Chromosomal insights into the paternal genealogy of the Kerey tribe have called into question their descent from the Stepfather of Genghis Khan.

The Kerey is one of the prominent Kazakh tribes and has long been a subject of ethnographic scrutiny, with a lack of consensus on its origin and traditional genealogy. Their historical significance, intertwined with the emergence of the empire established by Genghis Khan, necessitates a comprehensive understanding of their genetic history. This study focuses on unraveling the genetic heritage of the Kerey tribe. We conducted a comprehensive analysis of Y-chromosome data from genetic genealogy as citizen science and genetic screening of 23 Y-STRs and 37 Y-SNPs on 207 males from the Kerey tribe within academic science. Our results reveal two prevalent phylogenetic lineages within the C2a1a3a-F3796 haplogroup, also known as the C2*-Star Cluster (C2*-ST), which is one of the founding paternal lineages of the ancient Niru'un clan of the Mongols: C2-FT411734 and C2-FT224144, corresponding to the Abak and Ashamaily clans. While indicating a common male ancestry for them, our findings challenge the notion that they are full siblings. Additionally, genetic diversity analysis of the Y-chromosomes in the Kerey tribe and Kazakhs confirms their kinship with the Uissun tribe but refutes the claim of the Abak clan's progenitor originating from this tribe. Furthermore, genetic evidence fails to support popular historical and ethnographic hypotheses regarding the Kerey tribe's kinship with the Uak, Sirgeli, Adai, Törtkara, Karakerey, and Kereyit Kazakh tribes. The absence of a genetic paternal connection with the Kereyt tribe raises doubts about the genealogical link between the Kerey tribe and the stepfather of Genghis Khan.

Association of Genetic Markers with the Risk of Early-Onset Breast Cancer in Kazakh Women.

Breast cancer is a global health problem. It is an age-dependent disease, but cases of early-onset breast cancer (eBC) are gradually increasing. There are many unresolved questions regarding eBC risk factors, mechanisms of development and screening. Only 10% of eBC cases are due to mutations in the BRCA1/BRCA2 genes, and 90% have a more complex genetic background. This poses a significant challenge to timely cancer detection in young women and highlights the need for research and awareness. Therefore, identifying genetic risk factors for eBC is essential to solving these problems. This study represents an association analysis of 144 eBC cases and 163 control participants to identify genetic markers associated with eBC risks in Kazakh women. We performed a two-stage approach in association analysis to assess genetic predisposition to eBC. First-stage genome-wide association analysis revealed two risk intronic loci in the CHI3L2 gene (p = 5.2 × 10-6) and MGAT5 gene (p = 8.4 × 10-6). Second-stage exonic polymorphisms haplotype analysis showed significant risks for seven haplotypes (p < 9.4 × 10-4). These results point to the importance of studying medium- and low-penetrant genetic markers in their haplotype combinations for a detailed understanding of the role of detected genetic markers in eBC development and prediction.

Determination of genetic predisposition to early breast cancer in women of Kazakh ethnicity.

Breast cancer (BC) is the most common type of cancer among women in Kazakhstan. To date, little data are available on the spectrum of genetic variation in Kazakh women with BC. We aimed to identify population-specific genetic markers associated with the risk of developing early-onset BC and test their association with clinical and prognostic factors. The study included 224 Kazakh women diagnosed with BC (≤40 age). Entire coding regions (>1700 exons) and the flanking noncoding regions of 94 cancer-associated genes were sequenced from blood DNA using MiSeq platform. We identified 38 unique pathogenic variants (PVs) in 13 different cancer-predisposing genes among 57 patients (25.4%), of which 6 variants were novel. In total, 12 of the 38 distinct PVs were detected recurrently, including BRCA1 c.5266dup, c.5278-2del, and c.2T>C, and BRCA2 c.9409dup and c.9253del that may be founder in this population. BRCA1 carriers were significantly more likely to develop triple-negative BC (OR = 6.61, 95% CI 2.44-17.91, p = 0.0002) and have family history of BC (OR = 3.17, 95% CI 1.14-8.76, p = 0.03) compared to non-carriers. This study allowed the identification of PVs specific to early-onset BC, which may be used as a foundation to develop regional expertise and diagnostic tools for early detection of BC in young Kazakh women.

Mitochondria-Mediated Anticancer Effects of Non-Thermal Atmospheric Plasma.

Non-thermal atmospheric pressure plasma has attracted great interest due to its multiple potential biomedical applications with cancer treatment being among the most urgent. To realize the clinical potential of non-thermal plasma, the exact cellular and molecular mechanisms of plasma effects must be understood. This work aimed at studying the prostate cancer specific mechanisms of non-thermal plasma effects on energy metabolism as a central regulator of cell homeostasis and proliferation. It was found that cancer cells with higher metabolic rate initially are more resistant to plasma treated phosphate-buffered saline (PBS) since the respiratory and calcium sensitive signaling systems were not responsive to plasma exposure. However, dramatic decline of cancer oxidative phosphorylation developed over time resulted in significant progression of cell lethality. The normal prostate cells with low metabolic activity immediately responded to plasma treated PBS by suppression of respiratory functions and sustained elevation of cytosolic calcium. However, over time the normal cells start recovering their mitochondria functions, proliferate and restore the cell population. We found that the non-thermal plasma induced increase in intracellular ROS is of primarily non-mitochondrial origin. The discriminate non-thermal plasma effects hold a promise for clinical cancer intervention.

Tumor microenvironment promotes dicarboxylic acid carrier-mediated transport of succinate to fuel prostate cancer mitochondria.

Prostate cancer cells reprogram their metabolism, so that they support their elevated oxidative phosphorylation and promote a cancer friendly microenvironment. This work aimed to explore the mechanisms that cancer cells employ for fueling themselves with energy rich metabolites available in interstitial fluids. The mitochondria oxidative phosphorylation in metastatic prostate cancer DU145 cells and normal prostate epithelial PrEC cells were studied by high-resolution respirometry. An important finding was that prostate cancer cells at acidic pH 6.8 are capable of consuming exogenous succinate, while physiological pH 7.4 was not favorable for this process. Using specific inhibitors, it was demonstrated that succinate is transported in cancer cells by the mechanism of plasma membrane Na(+)-dependent dycarboxylic acid transporter NaDC3 (SLC13A3 gene). Although the level of expression of SLC13A3 was not significantly altered when maintaining cells in the medium with lower pH, the respirometric activity of cells under acidic condition was elevated in the presence of succinate. In contrast, normal prostate cells while expressing NaDC3 mRNA do not produce NaDC3 protein. The mechanism of succinate influx via NaDC3 in metastatic prostate cancer cells could yield a novel target for anti-cancer therapy and has the potential to be used for imaging-based diagnostics to detect non-glycolytic tumors.