Aldose reductase C-106T polymorphism is associated with the risk of essential hypertension

TIPS: a novel pathway-guided joint model for transcriptome-wide association studies

In the past two decades, genome-wide association studies (GWAS) have pinpointed numerous SNPs linked to human diseases and traits, yet many of these SNPs are in non-coding regions and hard to interpret. Transcriptome-wide association studies (TWAS) integrate GWAS and expression reference panels to identify the associations at gene level with tissue specificity, potentially improving the interpretability. However, the list of individual genes identified from univariate TWAS contains little unifying biological theme, leaving the underlying mechanisms largely elusive. In this paper, we propose a novel multivariate TWAS method that Incorporates Pathway or gene Set information, namely TIPS, to identify genes and pathways most associated with complex polygenic traits. We jointly modeled the imputation and association steps in TWAS, incorporated a sparse group lasso penalty in the model to induce selection at both gene and pathway levels and developed an expectation-maximization algorithm to estimate the parameters for the penalized likelihood. We applied our method to three different complex traits: systolic and diastolic blood pressure, as well as a brain aging biomarker white matter brain age gap in UK Biobank and identified critical biologically relevant pathways and genes associated with these traits. These pathways cannot be detected by traditional univariate TWAS + pathway enrichment analysis approach, showing the power of our model. We also conducted comprehensive simulations with varying heritability levels and genetic architectures and showed our method outperformed other established TWAS methods in feature selection, statistical power, and prediction. The R package that implements TIPS is available at https://github.com/nwang123/TIPS.

Asthma and allergic rhinitis associate with the rs2229542 variant that induces a p.Lys90Glu mutation and compromises AKR1B1 protein levels

Asthma and rhinitis are two of the main clinical manifestations of allergy, in which increased reactive oxygen or electrophilic species can play a pathogenic role. Aldose reductase (AKR1B1) is involved in aldehyde detoxification and redox balance. Recent evidence from animal models points to a role of AKR1B1 in asthma and rhinitis, but its involvement in human allergy has not been addressed. Here, the putative association of allergic rhinitis and asthma with AKR1B1 variants has been explored by analysis of single-strand variants on the AKR1B1 gene sequence in 526 healthy subjects and 515 patients with allergic rhinitis, 366 of whom also had asthma. We found that the rs2229542 variant, introducing the p.Lys90Glu mutation, was significantly more frequent in allergic patients than in healthy subjects. Additionally, in cells transfected with expression vectors carrying the wild-type or the p.Lys90Glu variant of AKR1B1, the mutant consistently attained lower protein levels than the wild-type and showed a compromised thermal stability. Taken together, our results show that the rs2229542 variant associates with asthma and rhinitis, and hampers AKR1B1 protein levels and stability. This unveils a connection between the genetic variability of aldose reductase and allergic processes.

AR C-106T gene polymorphism and diabetic nephropathy in the Eastern Asians with T2DM: A meta-analysis including 2120 subjects

BACKGROUND

Aldose reductase (AR) gene C-106T polymorphism may be associated with diabetic nephropathy (DN) susceptibility, but the results of individual studies remain controversial.

OBJECTIVE AND METHODS

To explore the relationship between AR gene C-106T gene polymorphism and DN in the Eastern Asians with type 2 diabetes mellitus (T2DM) population, we conducted a meta-analysis of 2120 participants from 5 studies. Pooled odds ratio (ORs) and the corresponding 95% confidence interval (95% CI) were evaluated by either a fixed or random-effects models.

RESULTS

AR C-106T gene polymorphism was significantly associated with DN in the Eastern Asians population with T2DM under allelic (OR: 1.81, 95% CI: 1.30-2.52, P=0.0005), recessive (OR: 1.88, 95% CI: 1.20-2.97, P=0.006), dominant (OR: 9.22, 95% CI: 2.73-31.12, P=0.0003), homozygous (OR:2.27, 95% CI: 1.43-3.61, P=0.0005), heterozygous (OR: 5.75, 95% CI: 1.96-16.81, P=0.001), and additive genetic models (OR: 2.27, 95% CI: 1.48-3.48, P=0.0002).

CONCLUSIONS

In the Eastern Asians with T2DM, the AR gene C-106T gene polymorphism is correlated with an increased risk of DN. The Eastern Asians with the T allele of AR gene C-106T gene polymorphism might be susceptible to DN.

Two Single Nucleotide Polymorphisms (rs2431697 and rs2910164) of miR-146a Are Associated with Risk of Coronary Artery Disease

The coronary artery disease (CAD) is one of the most severe cardiovascular diseases. MicroRNA-146a (miR-146a) influences the pathology of cardiovascular diseases. Two single nucleotide polymorphisms (SNPs) of miR-146a (rs2431697 and rs2910164) have been reported to alter the function or expression of microRNA. The purpose of this study is to evaluate the association between miR-146a gene polymorphism and the risk of CAD in the Chinese population. A total of 353 CAD patients and 368 controls were recruited, and SNPs were analyzed by the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and Sequenom MassARRAY system. The gene frequencies of rs2431697 and rs2910164 were significantly different between the two groups. The mutant type (T allele) of rs2431697 and wild type (C allele) of rs2910164 were more frequent in CAD patients. T allele carriers in rs2431697 had an increased CAD risk, while G allele of rs2910164 decreased the risk of CAD significantly. In conclusion, we found that the T allele of rs2431697 was a risk factor of CAD in the Chinese population. Meanwhile, we demonstrated that the G allele of rs2910164 decreased the susceptibility of CAD.