scholarly journals Genetic Association and Gene-gene interaction ofHAS2,HABP1andHYAL3Implicate Hyaluronan Metabolic Genes in Glaucomatous Neurodegeneration

2012 ◽  
Vol 33 (3) ◽  
pp. 145-154 ◽  
Author(s):  
Kaustuv Basu ◽  
Abhijit Sen ◽  
Kunal Ray ◽  
Ilora Ghosh ◽  
Kasturi Datta ◽  
...  
Keyword(s):  
Open Angle Glaucoma ◽  
Gene Interaction ◽  
Negative Control ◽  
Ocular Tissue ◽  
Allelic Association ◽  
Nucleotide Polymorphisms ◽  
Aqueous Humor Outflow ◽  
High Tension ◽  
Potential Association ◽  
Genotypic Association

Hyaluronan (HA) plays a significant role in maintaining aqueous humor outflow in trabecular meshwork, the primary ocular tissue involved in glaucoma. We examined potential association of the single nucleotide polymorphisms (SNPs) of the HA synthesizing gene – hyaluronan synthase 2 (HAS2), hyaluronan binding protein 1 (HABP1) and HA catabolic gene hyaluronidase 3 (HYAL3) in the primary open angle glaucoma (POAG) patients in the Indian population. Thirteen tagged SNPs (6 forHAS2, 3 forHABP1and 4 forHYAL3) were genotyped in 116 high tension (HTG), 321 non-high tension glaucoma (NHTG) samples and 96 unrelated, age-matched, glaucoma-negative, control samples. Allelic and genotypic association were analyzed by PLINK v1.04; haplotypes were identified using PHASE v2.1 and gene-gene interaction was analyzed using multifactor dimensionality reduction (MDR) v2.0. An allelic association (rs6651224;p= 0.03; OR: 0.49; 95% CI: 0.25–0.94) was observed at the second intron (C>G) ofHAS2both for NHTG and HTG. rs1057308 revealed a genotypic association (p= 0.03) at the 5’ UTR ofHAS2with only HTG. TCT haplotype (rs1805429 – rs2472614 – rs8072363) inHABP1and TTAG and TTGA (rs2285044 – rs3774753 – rs1310073 – rs1076872) inHYAL3were found to be significantly high (p< 0.05) both for HTG and NHTG compared to controls. Gene-gene interaction revealedHABP1predominantly interacts withHAS2in HTG while it associates with bothHYAL3andHAS2in NHTG. This is the first genetic evidence, albeit from a smaller study, that the natural polymorphisms in the genes involved in hyaluronan metabolism are potentially involved in glaucomatous neurodegeneration.

scholarly journals Association of Genetic Polymorphisms in Oxidative Stress and Inflammation Pathways with Glaucoma Risk and Phenotype

2021 ◽  
Vol 10 (5) ◽  
pp. 1148
Author(s):  
Makedonka Atanasovska Velkovska ◽  
Katja Goričar ◽  
Tanja Blagus ◽  
Vita Dolžan ◽  
Barbara Cvenkel
Keyword(s):  
Oxidative Stress ◽  
Ocular Hypertension ◽  
Gene Deletion ◽  
Open Angle Glaucoma ◽  
Protective Role ◽  
Control Group ◽  
Nucleotide Polymorphisms ◽  
Gstm1 Gene ◽  
Stress Genes ◽  
The Impact

Oxidative stress and neuroinflammation are involved in the pathogenesis and progression of glaucoma. Our aim was to evaluate the impact of selected single-nucleotide polymorphisms in inflammation and oxidative stress genes on the risk of glaucoma, the patients’ clinical characteristics and the glaucoma phenotype. In total, 307 patients with primary open-angle glaucoma or ocular hypertension were enrolled. The control group included 339 healthy Slovenian blood donors. DNA was isolated from peripheral blood. Genotyping was performed for SOD2 rs4880, CAT rs1001179, GPX1 rs1050450, GSTP1 rs1695, GSTM1 gene deletion, GSTT1 gene deletion, IL1B rs1143623, IL1B rs16944, IL6 rs1800795 and TNF rs1800629. We found a nominally significant association of GSTM1 gene deletion with decreased risk of ocular hypertension and a protective role of IL1B rs16944 and IL6 rs1800629 in the risk of glaucoma. The CT and TT genotypes of GPX1 rs1050450 were significantly associated with advanced disease, lower intraocular pressure and a larger vertical cup–disc ratio. In conclusion, genetic variability in IL1B and IL6 may be associated with glaucoma risk, while GPX and TNF may be associated with the glaucoma phenotype. In the future, improved knowledge of these pathways has the potential for new strategies and personalised treatment of glaucoma.

scholarly journals Gene–gene and gene-environment interactions on cord blood total IgE in Chinese Han children

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Li Hua ◽  
Quanhua Liu ◽  
Jing Li ◽  
Xianbo Zuo ◽  
Qian Chen ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Cord Blood ◽  
Synergistic Effects ◽  
Gene Interaction ◽  
Independent Effect ◽  
Environment Interaction ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Gene Environment Interaction ◽  
Gene Environment

Abstract Background IL13, IL4, IL4RA, FCER1B and ADRB2 are susceptible genes of asthma and atopy. Our previous study has found gene–gene interactions on asthma between these genes in Chinese Han children. Whether the interactions begin in fetal stage, and whether these genes interact with prenatal environment to enhance cord blood IgE (CBIgE) levels and then cause subsequent allergic diseases have yet to be determined. This study aimed to determine whether there are gene–gene and gene-environment interactions on CBIgE elevation among the aforementioned five genes and prenatal environmental factors in Chinese Han population. Methods 989 cord blood samples from a Chinese birth cohort were genotyped for nine single-nucleotide polymorphisms (SNPs) in the five genes, and measured for CBIgE levels. Prenatal environmental factors were collected using a questionnaire. Gene–gene and gene-environment interactions were analyzed with generalized multifactor dimensionality methods. Results A four-way gene–gene interaction model (IL13 rs20541, IL13 rs1800925, IL4 rs2243250 and ADRB2 rs1042713) was regarded as the optimal one for CBIgE elevation (testing balanced accuracy = 0.5805, P = 9.03 × 10–4). Among the four SNPs, only IL13 rs20541 was identified to have an independent effect on elevated CBIgE (odds ratio (OR) = 1.36, P = 3.57 × 10–3), while the other three had small but synergistic effects. Carriers of IL13 rs20541 TT, IL13 rs1800925 CT/TT, IL4 rs2243250 TT and ADRB2 rs1042713 AA were estimated to be at more than fourfold higher risk for CBIgE elevation (OR = 4.14, P = 2.69 × 10–2). Gene-environment interaction on elevated CBIgE was found between IL4 rs2243250 and maternal atopy (OR = 1.41, P = 2.65 × 10–2). Conclusions Gene–gene interaction between IL13 rs20541, IL13 rs1800925, IL4 rs2243250 and ADRB2 rs1042713, and gene-environment interaction between IL4 rs2243250 and maternal atopy begin in prenatal stage to augment IgE production in Chinese Han children.

scholarly journals Comorbidities and Susceptibility to COVID-19: A Generalized Gene Set Data Mining Approach

2021 ◽  
Vol 10 (8) ◽  
pp. 1666
Author(s):  
Micaela F. Beckman ◽  
Farah Bahrani Mougeot ◽  
Jean-Luc C. Mougeot
Keyword(s):  
Protein Interactions ◽  
Association Studies ◽  
Meta Analysis ◽  
Holistic Approach ◽  
Gene Interaction ◽  
Snp Analysis ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Protein Protein Interactions ◽  
Data Mining Approach

The COVID-19 pandemic has led to over 2.26 million deaths for almost 104 million confirmed cases worldwide, as of 4 February 2021 (WHO). Risk factors include pre-existing conditions such as cancer, cardiovascular disease, diabetes, and obesity. Although several vaccines have been deployed, there are few alternative anti-viral treatments available in the case of reduced or non-existent vaccine protection. Adopting a long-term holistic approach to cope with the COVID-19 pandemic appears critical with the emergence of novel and more infectious SARS-CoV-2 variants. Our objective was to identify comorbidity-associated single nucleotide polymorphisms (SNPs), potentially conferring increased susceptibility to SARS-CoV-2 infection using a computational meta-analysis approach. SNP datasets were downloaded from a publicly available genome-wide association studies (GWAS) catalog for 141 of 258 candidate COVID-19 comorbidities. Gene-level SNP analysis was performed to identify significant pathways by using the program MAGMA. An SNP annotation program was used to analyze MAGMA-identified genes. Differential gene expression was determined for significant genes across 30 general tissue types using the Functional and Annotation Mapping of GWAS online tool GENE2FUNC. COVID-19 comorbidities (n = 22) from six disease categories were found to have significant associated pathways, validated by Q–Q plots (p < 0.05). Protein–protein interactions of significant (p < 0.05) differentially expressed genes were visualized with the STRING program. Gene interaction networks were found to be relevant to SARS and influenza pathogenesis. In conclusion, we were able to identify the pathways potentially affected by or affecting SARS-CoV-2 infection in underlying medical conditions likely to confer susceptibility and/or the severity of COVID-19. Our findings have implications in future COVID-19 experimental research and treatment development.

In Silico Identification of Novel Acute Myeloid Leukemia Associated Missense SNPs in Human CEBPA Gene

2020 ◽  
pp. 10-24
Keyword(s):  
Acute Myeloid Leukemia ◽  
In Silico ◽  
Myeloid Leukemia ◽  
Gene Interaction ◽  
Nucleotide Polymorphisms ◽  
Future Perspectives ◽  
Single Nucleotide ◽  
In Silico Identification ◽  
And Function ◽  
Acute Myeloid

Single nucleotide polymorphisms (SNPs) in CEBPA gene have been found to be associated with cancer especially Acute Myeloid Leukemia (AML). Therefore, the identification of functional and structural polymorphisms in CEBPA is important to study and discover therapeutics targets and potential malfunctioning. For this purpose, several bioinformatics tools were used for the identification of disease-associated nsSNPs, which might be vital for the structure and function of CEBPA, making them extremely important. In silico tools used in this study included SIFT, PROVEAN, PolyPhen2, SNP&GO and PhD-SNP, followed by ConSurf and I-Mutant. Protein 3D modelling was carried out using I-TASSER and MODELLER v9.22, while GeneMANIA and string were used for the prediction of gene-gene interaction in this regard. From our study, we found that the L345P, R333C, R339Q, V328G, R327W, L317Q, N292S, E284A, R156W, Y108N and F82L mutations were the most crucial SNPs. Additionally, the gene-gene interaction showed the genes having correlation with CEBPA’s co-expressions and importance in several pathways. In future, these 11 mutations should be investigated while studying diseases related to CEBPA, especially for AML. Being the first of its kind, future perspectives are proposed in this study, which will help in precision medicine. Animal models are of great significance in finding out CEBPA effects in disease.

scholarly journals Interaction between COX-1 and COX-2 increases susceptibility to ischemic stroke in a Chinese population

2019 ◽  
Author(s):  
Lei Zhao ◽  
Jinghuan Fang ◽  
Muke Zhou ◽  
Jie Zhou ◽  
Lihua Yu ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Gene Interaction ◽  
Additive Effect ◽  
Large Artery ◽  
Nucleotide Polymorphisms ◽  
Vessel Occlusion ◽  
Single Nucleotide ◽  
Ischemic Stroke Risk ◽  
Cox 2 ◽  
Cox 1

Abstract Background Mutations of cyclooxygenase gene (COX gene) may increase the susceptibility of ischemic stroke. We investigated five variants (rs5788, rs1330344, rs3842788, rs20417, and rs689466) of two COX genes to explain the association between these polymorphisms and ischemic stroke risk determine whether gene–gene interaction between these genes increase the susceptibility of ischemic stroke or its subtypes. Methods A total of 1981 study subjects (1078 cases and 903 control subjects) were recruited. The interaction of multiple factors was investigated using Multifactor Dimensionality Reduction and additive effect of single nucleotide polymorphisms on ischemic stroke or its subtypes were analyzed by multiple factor logistic regression. Results At COX-1(rs1330344), AA genotype carriers had a lower susceptibility of ischemic stroke (OR=0.657, 95%CI= 0.437-0.988, P = 0.044), and A allele carriers had a lower susceptibility of ischemic stroke (OR=0.812, 95%CI= 0.657-0.978, P = 0.029). At COX-1(rs3842788), AA genotype carriers had a higher susceptibility of ischemic stroke (OR =5.203, 95% CI=1.519-5.159, P =0.016). At COX-2 (rs689466), AA genotype carriers had a higher susceptibility of large-artery atherosclerosis (OR =1.404, 95% CI=1.019-1.934, P =0.038). COX-1(rs1330344, rs3842788) and COX-2 rs689466 interacted in SVO, but had no additive effect with ischemic stroke or its subtypes. Conclusions At rs1330344, AA genotype may reduce the susceptibility of ischemic stroke. At rs3842788, AA genotype may increase the susceptibility of ischemic stroke. At rs689466, AA genotype may increase the susceptibility of large-artery atherosclerosis (LAA). COX-1(rs1330344, rs3842788) and COX-2 rs689466 interacted in small vessel occlusion (SVO), but had no additive effect with ischemic stroke or its subtypes.

An update: mechanisms of microRNA in primary open-angle glaucoma

2020 ◽  
Author(s):  
Yuanping Wang ◽  
Lingzhi Niu ◽  
Jing Zhao ◽  
Mingxuan Wang ◽  
Ke Li ◽  
...  
Keyword(s):  
Intraocular Pressure ◽  
Primary Open Angle Glaucoma ◽  
Open Angle Glaucoma ◽  
Nucleotide Polymorphisms ◽  
Open Angle ◽  
Single Nucleotide ◽  
Optic Nerve Damage ◽  
The World ◽  
And Function ◽  
Main Factor

Abstract Glaucoma is a disease with characteristic optic neuropathy and loss of vision, leading to blindness, and primary open-angle glaucoma (POAG) is the most common glaucoma type throughout the world. Genetic susceptibility is the main factor in POAG, and most susceptibility genes cause changes in microRNA expression and function, thereby leading to POAG occurrence and development. Increasing evidence indicates that many microRNAs are involved in the regulation of intraocular pressure (IOP) and play an important role in the increase in IOP in POAG. Additionally, microRNA is closely related to optic nerve damage factors (mechanical stress, hypoxia and inflammation). This review discusses the effect of single-nucleotide polymorphisms in POAG-related genes on microRNA and the value of microRNA in the diagnosis and treatment of POAG.

scholarly journals Gene-Based Nonparametric Testing of Interactions Using Distance Correlation Coefficient in Case-Control Association Studies

Genes ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 608
Author(s):  
Yingjie Guo ◽  
Chenxi Wu ◽  
Maozu Guo ◽  
Xiaoyan Liu ◽  
Alon Keinan
Keyword(s):  
Correlation Coefficient ◽  
Statistical Power ◽  
Association Studies ◽  
Gene Interaction ◽  
P Value ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Real World Data ◽  
Distance Correlation ◽  
The Difference

Among the various statistical methods for identifying gene–gene interactions in qualitative genome-wide association studies (GWAS), gene-based methods have recently grown in popularity because they confer advantages in both statistical power and biological interpretability. However, most of these methods make strong assumptions about the form of the relationship between traits and single-nucleotide polymorphisms, which result in limited statistical power. In this paper, we propose a gene-based method based on the distance correlation coefficient called gene-based gene-gene interaction via distance correlation coefficient (GBDcor). The distance correlation (dCor) is a measurement of the dependency between two random vectors with arbitrary, and not necessarily equal, dimensions. We used the difference in dCor in case and control datasets as an indicator of gene–gene interaction, which was based on the assumption that the joint distribution of two genes in case subjects and in control subjects should not be significantly different if the two genes do not interact. We designed a permutation-based statistical test to evaluate the difference between dCor in cases and controls for a pair of genes, and we provided the p-value for the statistic to represent the significance of the interaction between the two genes. In experiments with both simulated and real-world data, our method outperformed previous approaches in detecting interactions accurately.

scholarly journals miR-215 Targeting Novel Genes EREG, NIPAL1 and PTPRU Regulates the Resistance to E.coli F18 in Piglets

Genes ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1053
Author(s):  
Chao-Hui Dai ◽  
Fang Wang ◽  
Shi-Qin Wang ◽  
Zheng-Chang Wu ◽  
Sheng-Long Wu ◽  
...  
Keyword(s):  
Target Genes ◽  
Core Promoter ◽  
Negative Control ◽  
Enzyme Linked Immunosorbent Assay ◽  
Nucleotide Polymorphisms ◽  
Weaned Piglets ◽  
Promoter Regions ◽  
E Coli ◽  
Rnai Technology ◽  
Genes Expression

Previous research has revealed that miR-215 might be an important miRNA regulating weaned piglets’ resistance to Escherichia coli (E. coli) F18. In this study, target genes of miR-215 were identified by RNA-seq, bioinformatics analysis and dual luciferase detection. The relationship between target genes and E. coli infection was explored by RNAi technology, combined with E. coli stimulation and enzyme linked immunosorbent assay (ELISA) detection. Molecular regulating mechanisms of target genes expression were analyzed by methylation detection of promoter regions and dual luciferase activity assay of single nucleotide polymorphisms (SNPs) in core promoter regions. The results showed that miR-215 could target EREG, NIPAL1 and PTPRU genes. Expression levels of three genes in porcine intestinal epithelial cells (IPEC-J2) in the RNAi group were significantly lower than those in the negative control pGMLV vector (pGMLV-NC) group after E. coli F18 stimulation, while cytokines levels of TNF-α and IL-1β in the RNAi group were significantly higher than in the pGMLV-NC group. Variant sites in the promoter region of three genes could affect their promoter activities. These results suggested that miR-215 could regulate weaned piglets’ resistance to E. coli F18 by targeting EREG, NIPAL1 and PTPRU genes. This study is the first to annotate new biological functions of EREG, NIPAL1 and PTPRU genes in pigs, and provides a new experimental basis and reference for the research of piglets disease-resistance breeding.

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