Effects of <Emphasis Type="Italic">HLA</Emphasis>-<Emphasis Type="Italic">DRB1</Emphasis>/<Emphasis Type="Italic">DQB1</Emphasis> Genetic Variants on Neuroimaging in Healthy,Mild Cognitive Impairment,and Alzheimer’s Disease Cohorts

Alzheimer’s disease (AD) is the most common form of dementia and exhibits a considerable level of heritability. Previous association studies gave evidence for the associations of HLA-DRB1/DQB1 alleles with AD. However, how and when the gene variants in HLA-DRB1/DQB1 function in AD pathogenesis has yet to be determined. Here, we firstly investigated the association of gene variants in HLA-DRB1/DQB1 alleles and AD related brain structure on magnetic resonance imaging (MRI) in a large sample from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). We selected hippocampus, subregion, parahippocampus, posterior cingulate, precuneus, middle temporal, entorhinal cortex, and amygdala as regions of interest (ROIs). Twelve SNPs in HLA-DRB1/DQB1 were identified in the dataset following quality control measures. In the total group hybrid population analysis, our study (rs35445101, rs1130399, and rs28746809) were associated with the smaller baseline volume of the left posterior cingulate and rs2854275 was associated with the larger baseline volume of the left posterior cingulate. Furthermore, we detected the above four associations in mild cognitive impairment (MCI) sub-group analysis, and two risk loci (rs35445101 and rs1130399) were also the smaller baseline volume of the left posterior cingulate in (NC) sub-group analysis. Our study suggested that HLA-DRB1/DQB1 gene variants appeared to modulate the alteration of the left posterior cingulate volume, hence modulating the susceptibility of AD.     

Genetic Association of <Emphasis Type="Italic">HLA</Emphasis> Gene Variants with MRI Brain Structure in Alzheimer’s Disease

There is accumulating evidence that the human leukocyte antigen (HLA) gene variants are associated with Alzheimer’s disease (AD). However, how they affect AD occurrence is still unknown. In this study, we firstly investigated the association of gene variants in HLA gene variants and brain structures on MRI in a large sample from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to explore the effects of HLA on AD pathogenesis. We selected hippocampus, hippocampus CA1 subregion, parahippocampus, posterior cingulate, precuneus, middle temporal, entorhinal cortex, and amygdala as regions of interest (ROIs). According to the previous association studies of HLA variants and AD, 12 SNPs in HLA were identified in the dataset following quality control measures. In total group analysis, our results showed that TNF-α SNPs at rs2534672 and rs2395488 were significantly positively associated with the volume of the left middle temporal lobe (rs2534672: P?=?0.00035, Pc?=?0.004; rs2395488: P?=?0.0038, Pc?=?0.023) at baseline. In the longitudinal study, HFE rs1800562 was remarkably correlated with the lower atrophy rate of right middle temporal lobe (P?=?0.0003, Pc?=?0.003) and RAGE rs2070600 was associated with the atrophy rate of right hippocampus substructure-CA1 over 2 years (P?=?0.003, Pc?=?0.035). Furthermore, we detected the above four associations in mild cognitive impairment (MCI) subgroup analysis, as well as the association of rs2534672 with the baseline volume of the left middle temporal lobe in normal cognition (NC) subgroup analysis. Our study provided preliminary evidences that HLA gene variants might participate in the structural alteration of AD associated brain regions, hence modulating the susceptibility of AD.     

Associations of Polymorphic DNA Markers and Their Combinations with Multiple Sclerosis

Multiple sclerosis (MS) is regarded as multifactorial, polygenic disease; its development is the result of autoimmune and neurodegenerative processes which lead to multifocal lesions of the central nervous system. The aim of the study was to analyze associations between MS and polymorphic markers rs3129934 (C6orf10), rs1109670 (DDEF2/MBOAT2 gene), rs9523762 (GPC5 gene), rs28362491 (NFKB1 gene), rs10974944 (JAK2 gene), and rs2304256 (TYK2 gene). The material for the study was DNA samples of unrelated MS patients (N = 224) aged 17 to 67 years and individuals of a control group (N = 312) aged 18 to 66 years. Both samples were formed from the ethnic group of Russians. The results of the investigation demonstrated that, for women, MS was associated with genotypes rs3129934*C/T (p = 0.001, OR = 2.23), rs3129934*T/T (p = 0.028, OR = 4.04), and rs2304256*C/C (p = 0.049, OR = 1.6); for men, with genotype rs1109670*C/A (p = 0.017, OR = 2.06). In addition, using the APSampler algorithm, we identified combinations of alleles associated with increased risk of MS separately for women and men, in which the most frequent alleles of polymorphic markers were rs3129934*T, rs1109670*C, rs10974944*G, and rs2304256*C.     

Role of allelic genes of matrix metalloproteinases and their tissue inhibitors in the risk of peptic ulcer disease development

Peptic ulcer disease is a chronic disease of the gastrointestinal tract, mainly manifesting itself in the formation of the fairly persistent ulcer defect of the mucous membrane of the stomach and/or duodenum. Association analysis of common polymorphisms of matrix metalloproteinases genes MMP-1 (rs1799750, rs494379), MMP-2 (rs2285052), MMP-3 (rs3025058), MMP-9 (rs3918242, rs17576), and MMP-12 (rs2276109) and their tissue inhibitors TIMP-2 (rs8179090) and TIMP-3 (rs9619311) was carried out in 353 patients with a gastric ulcer or duodenal ulcer and in 325 unrelated healthy individuals from the Republic of Bashkortostan. Associations of polymorphic variants rs1799750 and rs494379 of gene MMP-1, rs3025058 of gene MMP-3, rs3918242 and rs17576 of gene MMP-9, and rs9619311 of gene TIMP-3 with the risk of peptic ulcer disease in Russians and Tatars were revealed.     

Filtering genetic variants and placing informative <Emphasis Type="Italic">priors</Emphasis> based on putative biological function

High-density genetic marker data, especially sequence data, imply an immense multiple testing burden. This can be ameliorated by filtering genetic variants, exploiting or accounting for correlations between variants, jointly testing variants, and by incorporating informative priors. Priors can be based on biological knowledge or predicted variant function, or even be used to integrate gene expression or other omics data. Based on Genetic Analysis Workshop (GAW) 19 data, this article discusses diversity and usefulness of functional variant scores provided, for example, by PolyPhen2, SIFT, or RegulomeDB annotations. Incorporating functional scores into variant filters or weights and adjusting the significance level for correlations between variants yielded significant associations with blood pressure traits in a large family study of Mexican Americans (GAW19 data set). Marker rs218966 in gene PHF14 and rs9836027 in MAP4 significantly associated with hypertension; additionally, rare variants in SNUPN significantly associated with systolic blood pressure. Variant weights strongly influenced the power of kernel methods and burden tests. Apart from variant weights in test statistics, prior weights may also be used when combining test statistics or to informatively weight p values while controlling false discovery rate (FDR). Indeed, power improved when gene expression data for FDR-controlled informative weighting of association test p values of genes was used. Finally, approaches exploiting variant correlations included identity-by-descent mapping and the optimal strategy for joint testing rare and common variants, which was observed to depend on linkage disequilibrium structure.     

Association analysis of the SNP (rs345476947) in the <Emphasis Type="Italic">FUT2</Emphasis> gene with the production and reproductive traits in pigs

The FUT2 gene was considered as an important candidate for pathogenic infections, while the potential associations between this gene and the production and reproductive traits of pigs have not been explored. In this study, we detected the genetic variants of porcine FUT2 gene and analyzed the associations of the polymorphisms with FUT2 mRNA expression and production and reproductive traits (age at 100 kg, backfat thickness at 100 kg, eye muscle thickness, the number of newborn piglets, the number of weaned piglets, and birth weight) in 100 Large White sows. One single nucleotide polymorphism (SNP) (rs345476947, C→T) in the intron of FUT2 and three genotypes (TT, CT and CC) were determined. Association analysis revealed significant associations between this SNP with the number of newborn piglets and weaned piglets. Furthermore, individuals with the TT genotype had significantly higher numbers of newborn piglets and weaned piglets than those with the CC genotype (P?<?0.05). Quantitative PCR analysis showed that FUT2 expression in individuals with CC genotype was significantly higher than those with TT and CT genotypes in the liver and lymph gland (P?<?0.05) and higher than that of CT in the spleen, kidney, and duodenum (P?<?0.05). These findings indicated that the TT genotype may be a favorable genotype for the reproductive traits of pigs. Our study revealed the genetic variants of the FUT2 gene and identified a promising candidate SNP (rs345476947) associated with the reproductive traits, which has the potential to be applied in selective breeding of pigs.     

Association of polymorphic markers of chemokine genes,their receptors,and <Emphasis Type="Italic">CD14</Emphasis> gene with coronary atherosclerosis

Atherosclerosis represents an inflammatory response to the disturbance of the endothelial layer in the arterial bloodstream. In the present study, an analysis of associations of polymorphic markers for the genes controlling synthesis of proteins involved in atherosclerosis pathogenesis in coronary atherosclerosis (CA) patients (217 subjects) and in a control group (250 subjects) was conducted. The following genes were examined: rs991804 (CCL2 gene), rs1126579 (CXCR2 gene), rs4074 (CXCL1 gene), rs4073 (CXCL8 gene), rs333 (CCR5 gene), rs2471859 (CXCR4 gene), rs1801157 (CXCL12 gene), and rs2569190 (CD14 gene). Using the Monte Carlo and Markov chain (APSampler) method, allele/genotype combinations associated with both low and high CA risk were revealed. The most important findings included the following: CXCR4*T/T + CCL2*C + CCR5*I/I (P_perm = 1 × 10^–6, OR = 0.44, 95% CI 0.3–0.63), CXCR2*C + CD14*C + CXCL12*G + CCL2*C + CCR5*D (P_perm = 4 × 10^–6, OR = 5.78, 95% CI 2.34–14.28), CD14*C + CCL2*C/C + CCR5*D (P_perm = 6.3 × 10^–6, OR = 5.81, 95% CI 2.17–15.56), CXCL8*A + CXCR2*C + CD14*T + CXCR4*C (P_perm = 0.01, OR = 3.21, 95% CI 1.63–6.31).     

<Emphasis Type="Italic">HLA-A2</Emphasis> Alleles Mediate Alzheimer’s Disease by Altering Hippocampal Volume

HLA-A is a locus of the major histocompatibility complex situated on chromosome 6p21.3. HLA-A has been shown to be associated with susceptibility to Alzheimer’s disease (AD). In this study, we firstly investigated the association of gene variants in HLA-A and brain structures on MRI in a large sample from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to explore the effects of HLA-A on AD pathogenesis. We selected the hippocampus, parahippocampus, posterior cingulate, precuneus, middle temporal, entorhinal cortex, and amygdala as regions of interest (ROIs). In hybrid population analysis, our results showed a marginally significant association between rs9260168 and the atrophy of the left parahippocampus (P?=?0.007, Pc?=?0.054), rs3823342 and the atrophy of the left parahippocampus (P?=?0.014, Pc?=?0.054), rs76475517, which only exists in Caucasians with HLA-A23 or HLA-A24 alleles, and the atrophy of the right amygdala (P?=?0.010, Pc?=?0.085) at baseline. In particular, the haplotype (TGACAAGG), as a surrogate marker of HLA-A2, was founded to be positively associated with the atrophy of the right hippocampus (P?=?0.047) at baseline. Furthermore, we detected the above four associations in mild cognitive impairment (MCI) subpopulation analysis. Our study provided preliminary evidences supporting HLA-A2 in Caucasians contribute to the risk of AD by modulating the alteration of hippocampal volume and HLA-A gene variants appear to play a role in altering AD-related brain structures on MRI.     

Role of Gene-Gene Interactions in the Chromosomal Instability in Workers at Coal Thermal Power Plants

The 23 polymorphic variants in genes encoding the enzymes of xenobiotics biotransformation (CYP1A1 (rs4646903), CYP1A2 (rs762551), GSTP1 (rs1138272, rs1695), GSTM1 (del), and GSTT1 (del)), DNA repair (XRCC1 (rs25489, rs25487), APEX1 (rs1130409), hOGG1 (rs1052133), ADPRT (rs1136410), XPD (rs13181), XPG (rs17655), XPC (rs2228001), ATM (rs1801516), NBS (rs1805794), XRCC2 (rs3218536), and XRCC3 (rs861539)), antioxidant system (MnSOD (rs4880) and GPx1 (rs1050450)), cell cycle control and apoptosis (TP53 (rs1042522)), DNA methylation (MTHFR (rs1801133) and MTR (rs1805087)), and chromosomal aberrations in lymphocytes in the workers at thermal power plants were analyzed. We found that allelic variants in the CYP1A1 (rs4646903), hOGG1 (rs1052133), XRCC1 (rs25487), and APEX1 (rs1130409) genes were associated with an increased level of chromosomal aberrations in workers. Informative models of gene-gene interactions including CYP1A1 (rs4646903, T>C), CYP1A2 (rs762551, C>A), GSTT1 (del); XRCC1 (rs25487, G>A), MTHFR (rs1801133, C>T), GSTT1 (del); XRCC1 (rs25487, G>A), APEX1 (rs1130409, T>G), TP53 (rs1042522, G>C) determining the formation of the increased frequency of chromosomal aberrations in the workers at coal thermal power plants were discovered.     

The analysis of association between type 2 diabetes and polymorphic markers in the <Emphasis Type="Italic">CDKAL1</Emphasis> gene and in the <Emphasis Type="Italic">HHEX/IDE</Emphasis> locus

The increase in diabetes was noted at the turn of the 21st century. Patients with type 2 diabetes (T2DM) make up the majority of patients. Diabetes is a multifactorial disease. It arises from adverse effects of environmental factors on the body of genetically susceptible peoples. According to modern concepts, T2DM is a polygenic disease. Each of the involved genes contributes to the risk of developing of this disease. In our study, the association between polymorphic genetic markers rs7756992, rs9465871, rs7754840, and rs10946398 in the CDKAL1 gene and rs1111875 in the HHEX/IDE locus and T2DM in the Russian population were studied. Four hundred forty patients with type 2 diabetes and 264 healthy individuals without any signs of the disease were examined. The comparative analysis of distribution of genotypes and allele frequencies points to an association between polymorphic genetic markers rs7756992, rs9465871, and rs10946398 in the CDKAL1 gene and this disease. For the other polymorphic genetic markers (rs7754840 in the CDKAL1 gene and rs1111875 in the HHEX/IDE locus), no statistically significant associations are found. On the basis of these data, we can conclude that the CDKAL1 gene is associated with development of T2DM. For the HHEX/IDE locus, such an association is absent.     

Associations of polymorphisms in the candidate genes for Alzheimer’s disease <Emphasis Type="Italic">BIN1, CLU,CR1</Emphasis> and <Emphasis Type="Italic">PICALM</Emphasis> with gestational diabetes and impaired glucose tolerance

Alzheimer’s disease (AD) is the most common type of dementia, with a prevalence that is rising every year. AD is associated with type 2 diabetes mellitus (T2DM) and insulin resistance, and is therefore sometimes called “type 3 diabetes mellitus”. The aim of this study was to examine whether the variants of some candidate genes involved in the development of AD, namely BIN1 (rs744373), CLU (rs11136000), CR1 (rs3818361), and PICALM (rs3851179), are related to several disorders of glucose metabolism—gestational diabetes (GDM), T2DM and impaired glucose tolerance (IGT). Our study included 550 women with former GDM and 717 control women, 392 patients with T2DM and 180 non-diabetic controls, and 117 patients with IGT and 630 controls with normal glucose tolerance. Genotyping analysis was performed using specially-designed TaqMan assays. No significant associations of the genetic variants rs744373 in BIN1, rs11136000 in CLU, or rs3818361 in CR1 were found with GDM, T2DM or IGT, but rs3851179 in PICALM was associated with an increased risk of GDM. The frequency of the AD risk-associated C allele was significantly higher in the GDM group compared to controls: OR 1.21; 95% CI (1.03–1.44). This finding was not apparent in T2DM and IGT; conversely, the C allele of the PICALM SNP was protective for IGT: OR 0.67; 95% CI (0.51–0.89). This study demonstrates an association between PICALM rs3851179 and GDM as well as IGT. However, elucidation of the possible role of this gene in the pathogenesis of GDM requires further independent studies.     

<Emphasis Type="Italic">SNCA</Emphasis> alleles rs356219 and rs356165 are associated with Parkinson’s disease and increased α-synuclein gene expression in CD45<Superscript>+</Superscript> blood cells

Impaired metabolism of α-synuclein (SNCA) and its aggregation are key molecular events underlying Parkinson’s disease (PD). Emerging data show that there is a connection between PD and the gene locus containing the SNCA gene. Meta-analyses have demonstrated a highly significant PD connection with single nucleotide polymorphisms (SNPs) rs356165 (A/G) and rs356219 (A/G) in the SNCA gene. We conducted SNP genotyping in 260 PD patients (n = 260) and 262 healthy people (n = 262) from northwestern regions of Russia. Linkage disequilibrium was registered between rs356219 and rs356165 alleles (D' = 0.926). It was confirmed that G alleles (rs356165 and rs356219) are associated with increased risk of PD development. For the first time, we have evaluated the relationship between rs356165 and rs356219 and levels of SNCA mRNA and α-synuclein protein in CD45⁺ peripheral blood cells in drug-naïve PD patients (n = 43) and controls (n = 39). Both the level of mRNA SNCA gene and that of α-synuclein protein were increased in carriers of rs356219 and rs356165 compared to carriers with AA genotype in control group (in the group of healthy people) (p = 0.046 and p = 0.039, respectively). Linkage disequilibrium was shown between associated marker alleles. Our data suggest that rs356165 and rs356219 allele variants may affect the PD development by up-regulation of SNCA expression.     

Association of <Emphasis Type="Italic">Toll like receptor 2</Emphasis> and <Emphasis Type="Italic">9</Emphasis> gene variants with pulmonary tuberculosis: exploration in a northern Indian population

Tuberculosis (TB) is a disease of global importance. There is an increasing recognition of the role of Toll like receptors, important pattern recognition receptors of host immune system, in determining the susceptibility or resistance to TB in various populations. In an attempt to examine the importance of Toll like receptors in immune response to Mycobacterium tuberculosis infection, we explored two variants each of TLR2 and TLR9 in a population residing in Uttar Pradesh, India. Genotyping was performed to detect -196 to -174 del polymorphism and G2258A SNP (Arg753Gln, rs5743708) in TLR2 gene and -T1237C (rs5743836) and G2848A (rs352140) SNP in TLR9 gene in patients with pulmonary TB and healthy controls. The A allele of G2848A SNP in TLR9 gene was found with a marginally higher frequency among TB patients as compared to healthy controls, suggesting that A allele at position 2848 of TLR9 gene may be associated with susceptibility to TB in North Indian population [p?=?0.05, Mantel–Haenszel OR?=?1.34, 95% CI (1.0–1.82)].     

Allelic Combinations of Immune Response Genes and Risk of Development of Myocardial Infarction

Myocardial infarction (MI) is a multifactorial polygenic disease. It develops because of the complex interaction between many environmental and genetic factors. In this paper, we have studied associations of MI and allele combinations of 17 polymorphic markers of immune response genes in an ethnically homogeneous group of Tatars. The material for analysis was DNA samples of patients (286 men) with onset of MI at the age of 30 to 60 years and 301 essentially healthy men of the control group. Using the APSampler algorithm, we obtained allele combinations with the increased risk of MI in which allele variants CX3CR1*M (rs3732378), VCAM1*C (rs3917010), ICAM1*E (rs5498), LTA*A (rs909253), and TNFRSF1B*M (rs1061622) occurred the most often.     

Association analysis of ILVBL gene polymorphisms with aspirin-exacerbated respiratory disease in asthma

Background

We previously reported that the ILVBL gene on chromosome 19p13.1 was associated with the risk for aspirin-exacerbated respiratory disease (AERD) and the percent decline of forced expired volume in one second (FEV1) after an oral aspirin challenge test. In this study, we confirmed the association between polymorphisms and haplotypes of the ILVBL gene and the risk for AERD and its phenotype.

Methods

We recruited 141 AERD and 995 aspirin-tolerant asthmatic (ATA) subjects. All study subjects underwent an oral aspirin challenge (OAC). Nine single nucleotide polymorphisms (SNPs) with minor allele frequencies above 0.05, which were present in the region from 2 kb upstream to 0.5 kb downstream of ILVBL in Asian populations, were selected and genotyped.

Results

In an allelic association analysis, seven of nine SNPs were significantly associated with the risk for AERD after correction for multiple comparisons. In a codominant model, the five SNPs making up block2 (rs2240299, rs7507755, rs1468198, rs2074261, and rs13301) showed significant associations with the risk for AERD (corrected P?=?0.001–0.004, OR?=?0.59–0.64). Rs1468198 was also significantly associated with the percent decline in FEV1 in OAC tests after correction for multiple comparisons in the codominant model (corrected P?=?0.033), but the other four SNPs in hapblock2 were not.

Conclusion

To the best of our knowledge, this is the first report of an association between SNPs on ILVBL and AERD. SNPs on ILVBL could be promising genetic markers of this condition.

     

Impact of variants on type-2 diabetes risk genes identified through genomewide association studies in polycystic ovary syndrome: a case–control study

Polycystic ovary syndrome (PCOS) is a common endocrine disorder in females, and is associated with altered metabolic processes in particular insulin resistance and diabetes mellitus. PCOS shares with type-2 diabetes (T2D) a number of features, including beta cell dysfunction, impaired glucose tolerance and dyslipidaemia. Recently, genomewide association studies (GWAS) have reported a number of genes with reproducible associations and susceptibilities to T2D. To address this, we examined the association between the T2D GWAS candidate genes (CDKAL1, CDKN2B, COL8A1, HHEX, IGF2BP2, KCNJ1, KCNQ1 and SLC30A8) and PCOS in Saudi women. A case–control study, includes 162 cases and 162 controls was enrolled. Genotyping was carried out by the allelic discrimination method. Our results showed that the variants including rs792837 of COL8A1, rs61873498 of KCNQ1 and rs13266634 of SLC30A8 genes to be significantly more frequent in PCOS patients than in controls. Our results suggest that COL8A1, KCNQ1 and SLC30A8, which are previously identified through GWAS as T2D-associated genes, are associated with PCOS.     

The relationship between human leukocyte antigen-DP/DQ gene polymorphisms and the outcomes of HCV infection in a Chinese population

Background

Recently, human leukocyte antigen (HLA) class-II gene polymorphisms have been reported to be related to Hepatitis C virus (HCV) infection and chronicity. The objective of this study was to explore the relationship of HLA-DP rs9277535 and HLA-DQ rs7453920 with the outcomes of HCV infection.

Methods

The rs9277535 and rs7453920 were genotyped in 370 subjects with chronic HCV infection, 194 subjects with spontaneous HCV clearance, and 973 subjects with non-HCV infection from the Chinese population using the ABI TaqMan allelic discrimination assay.

Results

Logistic regression analyses showed that the minor allele A of rs7453920 significantly increased the susceptibility of HCV infection in dominant model (adjusted OR?=?1.33, 95% CI: 1.04–1.71, P?=?0.026) and additive models (adjusted OR?=?1.30, 95% CI: 1.06–1.60, P?=?0.012). Rs9277535 A allele significantly increased the risk of chronic HCV infection in dominant model (adjusted OR?=?1.52, 95% CI: 1.01–2.28, P?=?0.046). Haplotype AA showed a higher risk of HCV infection than the most frequent haplotype GG (adjusted OR?=?1.37, 95% CI: 1.05–1.78, P?=?0.018).

Conclusion

The HLA-DQ rs7453920 and -DP rs9277535 mutations were significantly associated with HCV infection susceptibility and chronicity, respectively.

     

LncRNA <Emphasis Type="Italic">ANRIL</Emphasis> Expression and <Emphasis Type="Italic">ANRIL</Emphasis> Gene Polymorphisms Contribute to the Risk of Ischemic Stroke in the Chinese Han Population

The aim of the present study was to explore the role of lncRNA ANRIL in the pathogenesis of ischemic stroke (IS) and coronary artery disease (CAD) and to determine the association between ANRIL variants and the genetic susceptibility of IS and CAD in the Chinese Han population. A genetic association study including 550 IS patients, 550 CAD patients, and 550 healthy controls was conducted. The expression levels of lncRNA ANRIL, CDKN2A, and CDKN2B were detected using qRT-PCR. Genotyping was performed by Sequenom MassARRAY on an Agena platform. Our study showed that IS patients had an increased lncRNA ANRIL expression (P?=?0.002) and a decreased CDKN2A expression (P?<?0.001) compared with normal controls. A significant difference with regard to the genotype distribution of rs2383207 was found between male IS patients and controls (P?=?0.011). The minor allele of rs2383207 significantly increased the IS risk under a recessive model (OR?=?1.52, 95% CI?=?1.05–2.21, P?=?0.027). The minor allele of rs1333049 was significantly associated with the risk of IS among the male patients under a recessive model (OR?=?1.56, 95% CI?=?1.04–2.35, P?=?0.031). However, no significant association was found between the ANRIL variants and the risk of CAD (all P?>?0.050). In addition, we found a decreased lncRNA ANRIL expression in IS patients who carried the GG genotype of rs1333049 compared with IS patients who carried the CC or CG genotype (P?=?0.041). In summary, we found that IS patients had an increased lncRNA ANRIL expression and a decreased CDKN2A expression compared with the controls, which might play an impellent role in pathological processes of IS. The ANRIL variants rs2383207 and rs1333049 were significantly associated with the risk of IS among males but not females in the Chinese Han population.     

Association of genes of different functional classes with type 1 diabetes

The genetic structure of susceptibility to type 1 diabetes (T1D) in the population of Tomsk was studied. We had a group of T1D patients (N = 285) and a population sample (N = 300) and we studied 58 SNPs localized in the 47 genes which products are involved in various metabolic pathways and processes as fibrogenesis, endothelial dysfunction, and inflammation. Genotyping was performed by mass spectrometry using the Sequenom MassARRAY system (United States). We compared the group of T1D patients and the population sample and found an association with the predisposition to disease for seven markers: rs3765124 of the ADAMDEC1 gene, genotype AA (p = 0.004), allele A (p = 0.033); rs1007856 of the ITGB5 gene, genotype TT (p = 0.015), allele T (p = 0.036); rs20579 of the LIG1 gene, genotype CC (p = 0.004), allele C (p = 0.002); rs12980602 of the IFNL2 gene, allele C (p = 0.029); rs4986819 of the PARP4 gene, allele C (p = 0.044); rs1143674 of the ITGA4 gene genotype GG (p = 0.002); rs679620 of the MMP3 gene, genotype AA (p = 0.008). Thus, the products of genes associated with T1D belong to different molecular classes: metalloproteases (ADAMDEC1, MMP3), cytokines (IL28A), cell surface receptors (ITGA4), adhesion molecules (ITGB5), DNA ligases (LIG1), and ribosyltransferase enzymes (PARP4). The ADAMDEC1, ITGA4, and ITGB5 genes belong to two biological processes: cell communication and signal transduction. The LIG1 and PARP4 genes regulate the metabolism of nucleic acids, MMP3 is involved in the regulation of protein metabolism, and the IFNL2 is involved in the immune response.