[Regulatory Potential of SNP Markers in Genes of DNA Repair Systems].

A broad range of SNP markers associated with diseases and pathogenically significant features were identified in noncoding regions of the human genome. The mechanisms that underlie their associations are a pressing problem. A number of associations was previously observed between polymorphic variants of DNA repair proteins genes and common diseases. To clarify the possible mechanisms of the associations, a detailed annotation of the regulatory potential of the markers was carried out using online resources (GTX-Portal, VannoPortal, Ensemble, RegulomeDB, Polympact, UCSC, GnomAD, ENCODE, GeneHancer, EpiMap Epigenomics 2021, HaploReg, GWAS4D, JASPAR, ORegAnno, DisGeNet, and OMIM). The review characterizes the regulatory potential for the polymorphisms rs560191 (of the TP53BP1 gene), rs1805800, rs709816 (NBN), rs473297 (MRE11), rs189037, rs1801516 (ATM), rs1799977 (MLH1), rs1805321 (PMS2), and rs20579 (LIG1). General characteristics of the markers are considered, and data are summarized to describe their influence on expression of their own and co-regulated genes and binding affinity of transcription factors. The review additionally considers the data on adaptogenic and pathogenic potentials of the SNPs and co-localized histone modifications. A possible involvement in regulating the functions of both their own and nearby genes may explain the associations of the SNPs with diseases and their clinical phenotypes.

[Methylation of Regulatory Regions of DNA Repair Genes in Carotid Atherosclerosis].

The status of DNA methylation in the human genome changes during the pathogenesis of common diseases and acts as a predictor of life expectancy. Therefore, it is of interest to investigate the methylation level of regulatory regions of genes responsible for general biological processes that are potentially significant for the development of age-associated diseases. Among them there are genes encoding proteins of DNA repair system, which are characterized by pleiotropic effects. Here, results of the targeted methylation analysis of two regions of the human genome (the promoter of the MLH1 gene and the enhancer near the ATM gene) in different tissues of patients with carotid atherosclerosis are present. Analysis of the methylation profiles of studied genes in various tissues of the same individuals demonstrated marked differences between leukocytes and tissues of the vascular wall. Differences in methylation levels between normal and atherosclerotic tissues of the carotid arteries were revealed only for two studied CpG sites (chr11:108089866 and chr11:108090020, GRCh37/hg19 assembly) in the ATM gene. Based on this, we can assume the involvement of ATM in the development of atherosclerosis. "Overload" of the studied regions with transcription factor binding sites (according to ReMapp2022 data) indicate that the tissue-specific nature of methylation of the regulatory regions of the MLH1 and ATM may be associated with expression levels of these genes in a particular tissue. It has been shown that inter-individual differences in the methylation levels of CpG sites are associated with sufficiently distant nucleotide substitutions.

[Involvement of Variants in the Genes Encoding BRCA1-Associated Genome Surveillance Complex (BASC) in the Development of Human Common Diseases].

The "Mendelian code" hypothesis postulates a relationship between Mendelian (monogenic) and common pathologies. In this hypothesis, polymorphisms in the genes of Mendelian diseases may have a significant contribution to predisposition to common diseases in which the same biochemical pathways may be involved. In this review a group of genes encoding various proteins participating in the DNA repair, with a particular focus on the BRCA1-associated genome surveillance complex (BASC), is presented through the prism of the "Mendelian code" hypothesis. Here we discuss (1) their main functions in the repair of DNA double-strand breaks (ATM, MRE11, NBN, RAD50, BRCA1, and BLM) and mismatch repair (MSH2, MSH6, MLH1, PMS2, RF-C, and PCNA); (2) the mitochondrial involvement of these proteins; (3) the involvement of BASC proteins in the development of an adaptive immune response. For 13 out of 16 BASC protein encoding genes, mutations leading to monogenic diseases have already been described; for 11, there are associations with common diseases or individual biological processes. Patients with mutations in the genes of the BASC complex and patients with severe combined immunodeficiency share similar symptoms. Polymorphisms within DNA repair genes may play a role in the development of common diseases through the involvement of the immune response. The pleiotropic effects of these genes suggest their participation in the development of various conditions, both in health and pathology.

[Genetic Predisposition to Early Myocardial Infarction].

The aim of the study was to identify the features of the genetic structure of myocardial infarction (MI) susceptibility depending on age ("early MI" denoting individuals who had the first MI before the age of 60 years, and "late MI" the group of patients with the first "MI after 60 years"). A total of 355 patients were examined (n = 121 early MI and n = 234 late MI) and 285 residents of the Siberian region (as a control group). Genotyping of 58 single nucleotide variants (SNPs) was performed using mass spectrometry using the Agena (ex Sequenom) MassARRAY® System. Statistical analysis was performed using Statistica 8.0 ("StatSoft Inc.", USA), as well as the "stats" and "genetics" packages in the R environment. The regulatory potential of SNPs was evaluated using the rSNPBase online service (http://rsnp.psych.ac.cn/). eQTL loci were identified using data from the Genotype-Tissue Expression (GTEx) project (http://www.gtexportal.org/) and the Blood eQTL online service (https://genenetwork.nl/bloodeqtlbrowser/). The GG genotype of ITGA4 rs1143674, the CC genotype of CDKN2B-AS1 rs1333049, and the CC genotype of KIAA1462 rs3739998, are generally associated with MI. The AA genotype of ADAMDEC1 rs3765124 (OR = 2.03; 95% CI 1.23-3.33; p = 0.004) and the GG genotype of AQP2 rs2878771 (OR = 2.24; 95% CI 1.23-4.09; p = 0.006) are associated with the development of MI at an early age, and the TT genotype of TAS2R38 rs1726866 (OR = 1.82; 95% CI 1.11-2.89; p = 0.009) was the high-risk genotype for the late MI. Genetic variants associated with MI are regulatory SNP (rSNP) and affect the affinity of DNA binding to transcription factors, carry out post-transcriptional control of gene activity and change the level of gene expression in various tissues. Thus, early and late MI are based on both common genetic variants of ITGA4, CDKN2B-AS1, KIAA1462 genes and specific ones (ADAMDEC1 and AQP2 for early MI and TAS2R38 for late MI).

[Characteristic of the Genetic Variability of Four Polymorphic Variants (rs2069705, rs17880053, rs11126176, and rs804271) in Representative Samples of Indigenous and Alien Populations of Siberia].

The variability of potentially important functional polymorphic variants rs2069705 (5'UTR of the IFNG gene), rs17880053 (near 5'UTR of the IFNGR2), rs11126176 (LOC100287361 pseudogene), and rs804271 (near 5'UTR of the NEIL2 gene) was characterized in representatives of four ethnic groups living in the Siberian region. These ethnic groups included three indigenous Mongoloid ethnic groups (Yakuts, the residents of the Republic of Sakha (Yakutia), Tuvinians from the Republic of Tuva, and Buryats from the Republic Buryatia) and the alien Russian population. All of the examined variants were polymorphic. The frequency of the rs2069705 allele C in Russians was 0.5833, while it was in a range from 0.7842 to 0.8967 in representatives of the indigenous populations. The frequency of rs17880053 deletion was 0.8073 in Russians and from 0.4474 to 0.5521 in the indigenous ethnic groups. The frequency of the rs11126176 allele A was equal to 0.5398 in Russians but was recorded with lower frequencies in indigenous ethnic groups (from 0.2722 to 0.4551). The frequency of the rs804271 allele Gwas 0.5215 in Russians and from 0.2527 to 0.4022 indigenous ethnic groups. With respect to the genotype structure, the alien Russian population was considerably distanced from indigenous Mongoloid populations. Specifically, the genetic distance was 0.0742 between Russians and Yakuts, 0.1365 between Russians and Tuvinians, and 0.1433 between Russians and Buryats. Among the Mongoloid indigenous ethnic groups of Siberia, Tuvinians and Yakuts were the most distant from each other (0.0262). The genetic distance was equal to 0.0151 between Yakuts and Buryats and 0.0127 between Buryats and Tuvinians.

[Genetic subdivision of the Buryat population].

The results of an estimation of the level of subdivision in the Buryat ethnos (obtained oh the basis of data published by a number of research teams) are given. Altogether, information about 34 loci, including 25 diallelic loci and 9 STR loci, was analyzed. The results of the analysis, both for the diallelic polymorphic variants in genes predisposed to multifactorial diseases and for neutral STR markers, indicate the subdivision of the genetic structure of the different territorial groups of Buryats. The peculiarities of the ethnogenesis and heterogeneity of the settlement of Buryat tribes on the territory of residence are considered as one possible (but not the sole) explanation of the genetic heterogeneity of different territorial groups of Buryats. It is indicated that it is important to take into account information about the territorial, ethnic, and tribal affiliation of individuals (included in the studied groups) when planning studies aiming to establish a genetic component of the determination of pathological states in humans.

[Prevalence of alleles of polymorphic variants Leu33Pro and Leu66Arg gene ITGB3 among inhabitants of Siberia].

The frequency of the polymorphic variant T196C (Leu33Pro, rs5918) of ITGB3 gene was studied in several groups of inhabitants of Siberia, including pregnant women with reproductive disorders (n = 186), patients with acute coronary syndrome (n = 330), and population control (n = 858). The frequency of the rare PLA2 allele among residents of Tomsk and Kemerovo was 14.7 and 15.0% respectively. There were no differences in the allele and genotype frequencies of polymorphic variant between patients with acute coronary syndrome and the control group (p = 0.925, p = 0.622). The highest frequency of abnormal PLA2 allele (22.1%) and the PLA2/PLA2 genotype (8.8%) was observed among women, who had miscarried, which was significantly different from the frequency of this allele and genotype in the control group (14.7%, p = 0.017; 2.1%, p = 0.0009). Sequencing showed that all samples with the nonspecific band had the polymorphic rs5918 variant and rs36080296 mutations (T216G, Leu66Arg). The frequency of the rs36080296 mutation among the residents of Siberia was 0.51%. Among the women with reproductive disorders, the frequency of rs36080296 was 2.7%, while in the group who suffered from miscarriages, it was 4.4%; this was different from the frequency in the control group (0.08%, p = 0.2 x 10(-6)). The accumulation of mutations was also observed among men with acute coronary syndrome (0.6%), but the differences from the control group (0%) had no statistical significance.

Changes in DNA methylation profile in liver tissue during progression of HCV-induced fibrosis to hepatocellular carcinoma.

In this study we compared methylation levels of 27,578 CpG sites between paired samples of the tumor and surrounding liver tissues with various degrees of damage (fibrosis, cirrhosis) in HCV-induced hepatocellular carcinoma (HCC) patients, as well as between tumor and normal tissue in non-viral HCC patients, using GSE73003 and GSE37988 data from GEODataSets (https://www.ncbi.nlm.nih.gov/). A significantly lower number of differentially methylated sites (DMS) were found between HCC of non-viral etiology and normal liver tissue, as well as between HCC and fibrosis (32 and 40), than between HCC and cirrhosis (2450 and 2304, respectively, according to GSE73003 and GSE37988 datasets). As the pathological changes in the tissue surrounding the tumor progress, the ratio of hyper-/hypomethylated DMSs in the tumor decreases. Thus, in tumor tissues compared with normal/fibrosis/cirrhosis of the liver, 75/62.5/47.7 % (GSE73003) and 16 % (GSE37988) of CpG sites are hypermethylated, respectively. Persistent hypermethylation of the ZNF154 and ZNF540 genes, as well as CCL20 hypomethylation, were registered in tumor tissue in relation to both liver fibrosis and liver cirrhosis. Protein products of the EDG4, CCL20, GPR109A, and GRM8 genes, whose CpG sites are characterized by changes in DNA methylation level in tumor tissue in the setting of cirrhosis and fibrosis, belong to "Signaling by G-protein-coupled receptors (GPCRs)" category. However, changes in the methylation level of the "driver" genes for oncopathology (АРС, CDKN2B, GSTP1, ELF4, TERT, WT1) are registered in tumor tissue in the setting of liver cirrhosis but not fibrosis. Among the genes hypermethylated in tumor tissue in the setting of liver cirrhosis, the most represented biological pathways are developmental processes, cell-cell signaling, transcription regulation, Wnt-protein binding. Genes hypomethylated in liver tumor tissue in the setting of liver cirrhosis are related to olfactory signal transduction, neuroactive ligand-receptor interaction, keratinization, immune response, inhibition of serine proteases, and zinc metabolism. The genes hypermethylated in the tumor are located at the 7p15.2 locus in the HOXA cluster region, and the hypomethylated CpG sites occupy extended regions of the genome in the gene clusters of olfactory receptors (11p15.4), keratin and keratin-associated proteins (12q13.13, 17q21.2, and 21q22.11), epidermal differentiation complex (1q21.3), and immune system function loci 9p21.3 (IFNA, IFNB1, IFNW1 cluster) and 19q13.41-19q13.42 (KLK, SIGLEC, LILR, KIR clusters). Among the genes of fibrogenesis or DNA repair, cg14143055 (ADAMDEC1) is located in the binding region of the HOX gene family transcription factors (TFs), while cg05921699 (CD79A), cg06196379 (TREM1) and cg10990993 (MLH1) are located in the binding region of the ZNF protein family transcription factor (TF). Thus, the DNA methylation profile in the liver in HCV-induced HCC is unique and differs depending on the degree of surrounding tissue lesion - liver fibrosis or liver cirrhosis.

[Functional role of VNTR polymorphism of human genes].

A brief overview of the current views on the functional role of genetic VNTR polymorphism in humans is given. Data on the involvement of VNTRs in the regulation of gene expression and in the formation of complex phenotypes are presented. According to these data, the effects of VNTRs are determined by the number of repeats, the structure of their monomers and flanking haplotypes, epigenetic mechanisms (in the case of localization in imprinted regions) and can be modified by environmental factors. Some possible mechanisms of the influence of VNTRs on the level of expression are considered.

Genetic Control of Human Infection with SARS-CoV-2.

In 2019, the SARS-CoV-2 beta-coronavirus, which caused a pandemic of severe acute respiratory viral infection COVID-19 (from COronaVIrus Disease 2019), was first detected. The susceptibility to SARS-CoV-2 and the nature of the course of the COVID-19 clinical picture are determined by many factors, including genetic characteristics of both the pathogen and the human. The SARS-CoV-2 genome has a similarity to the genomes of other coronaviruses, which are pathogenic for humans and cause a severe course of infection: 79% to the SARS-CoV genome and 50% to the MERS-CoV genome. The most significant differences between SARS-CoV-2 and other coronaviruses are recorded in the structure of the gene of the S protein, a key protein responsible for the virus binding to the receptor of the host organism cells. In particular, substitutions in the S protein of SARS-CoV-2, leading to the formation of the furin cleavage site that is absent in other SARS-like coronaviruses, were identified, which may explain the high pathogenicity of SARS-CoV-2. In humans, the genes that are significant for the initial stages of infection include ACE2, ANPEP, DPP4 (encode receptors for coronavirus binding); TMPRSS2, FURIN, TMPRSS11D, CTSL, CTSB (encode proteases involved in the entry of the coronavirus into the cell); DDX1 (the gene of ATP-dependent RNA helicase DDX1, which promotes replication of coronaviruses); and IFITM1, IFITM2, and IFITM3 (encode interferon-induced transmembrane proteins with an antiviral effect). These genes are expressed in many tissues (including those susceptible to the effects of SARS-CoV-2); rare and frequent variants that affect the structure of the encoded protein and its properties and expression level are described in them. A number of common genetic variants with proven functional significance are characterized by the variability in the allele frequency in the world's populations, which can determine interpopulation differences in the prevalence of COVID-19 and in the clinical features of the course of this pathology. The expression level of genes that are important for the formation of the susceptibility to SARS-CoV-2 is affected by epigenetic modifications, comorbidities at the time of infection, taking medications, and bad habits.

Induced pluripotent stem cell line, ICAGi001-A, derived from human skin fibroblasts of a patient with 2p25.3 deletion and 2p25.3-p23.3 inverted duplication.

Skin fibroblasts from a patient with developmental delay and chromosome 2p25.3 deletion syndrome were reprogrammed into induced pluripotent stem cells (iPSCs) and the clonal stem cell line ICAGi001-A (iTAF9-11) was established. ICAGi001-A pluripotency was demonstrated in vitro by three germ layer differentiation capacity. This line is a good model for studying of the developmental delay and brain disorder.