Hypertension and bronchial asthma are a major issue for people’s health. As of 2014, approximately one billion adults, or ~ 22% of the world population, have had hypertension. As of 2011, 235–330 million people globally have been affected by asthma and approximately 250,000–345,000 people have died each year from the disease. The development of the effective treatment therapies against these diseases is complicated by their comorbidity features. This is often a major problem in diagnosis and their treatment. Hence, in this study the bioinformatical methodology for the analysis of the comorbidity of these two diseases have been developed. As such, the search for candidate genes related to the comorbid conditions of asthma and hypertension can help in elucidating the molecular mechanisms underlying the comorbid condition of these two diseases, and can also be useful for genotyping and identifying new drug targets. Using ANDSystem, the reconstruction and analysis of gene networks associated with asthma and hypertension was carried out. The gene network of asthma included 755 genes/proteins and 62,603 interactions, while the gene network of hypertension - 713 genes/proteins and 45,479 interactions. Two hundred and five genes/proteins and 9638 interactions were shared between asthma and hypertension. An approach for ranking genes implicated in the comorbid condition of two diseases was proposed. The approach is based on nine criteria for ranking genes by their importance, including standard methods of gene prioritization (Endeavor, ToppGene) as well as original criteria that take into account the characteristics of an associative gene network and the presence of known polymorphisms in the analysed genes. According to the proposed approach, the genes IL10, TLR4, and CAT had the highest priority in the development of comorbidity of these two diseases. Additionally, it was revealed that the list of top genes is enriched with apoptotic genes and genes involved in biological processes related to the functioning of central nervous system. The application of methods of reconstruction and analysis of gene networks is a productive tool for studying the molecular mechanisms of comorbid conditions. The method put forth to rank genes by their importance to the comorbid condition of asthma and hypertension was employed that resulted in prediction of 10 genes, playing the key role in the development of the comorbid condition. The results can be utilised to plan experiments for identification of novel candidate genes along with searching for novel pharmacological targets.
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).
The distribution of the allele and genotype frequency for the TOMM40 gene polymorphic variants rs741780, rs157580, rs1160985, rs2075650, and rs8106922 was analyzed in a sampling of ethnic Russians from the city of Kemerovo. The study of the structure of linkage disequilibrium in terms of five studied polymorphic variants showed the presence of a haplotype block 2 Kb in length, which includes three polymorphic variants, i.e., rs741780, rs1160985, and rs8106922. The differences in the frequencies of alleles and genotypes in terms of the polymorphic rs2075650 and rs157580 variants between ethnic Russians from the city of Kemerovo and other European populations were detected. It was discovered that polymorphic variants of TOMM40 rs741780, rs1160985, and rs8106922 are associated with serum triglyceride concentrations. In men, the polymorphic variant rs2075650 is associated with low-density lipoprotein cholesterol levels. In women, the polymorphic variant rs741780 is associated with diastolic blood pressure levels.
1 December 2018 in Journal of Integrative Bioinformatics
Comorbidity, a co-incidence of several disorders in an individual, is a common phenomenon. Their development is governed by multiple factors, including genetic variation. The current study was set up to look at associations between isolated and comorbid diseases of bronchial asthma and hypertension, on one hand, and single nucleotide polymorphisms associated with regulation of gene expression (eQTL), on the other hand. A total of 96 eQTL SNPs were genotyped in 587 Russian individuals. Bronchial asthma alone was found to be associated with rs1927914 ( TLR4 ), rs1928298 (intergenic variant), and rs1980616 ( SERPINA1 ); hypertension alone was found to be associated with rs11065987 (intergenic variant); rs2284033 ( IL2RB ), rs11191582 ( NT5C2 ), and rs11669386 ( CARD8 ); comorbidity between asthma and hypertension was found to be associated with rs1010461 ( ANG/RNASE4 ), rs7038716, rs7026297 ( LOC105376244 ), rs7025144 (intergenic variant), and rs2022318 (intergenic variant). The results suggest that genetic background of comorbidity of asthma and hypertension is different from genetic backgrounds of both diseases manifesting isolated.
We performed an association analysis for the mtDNA major common variants and haplogroups with incidence of myocardial infarction and essential prognostic characteristics in patients. A comparison of...