Rs10757274 gene polymorphisms in coronary artery disease: A systematic review and a meta-analysis

Maternal and placental ANRIL polymorphisms and preeclampsia susceptibility

Aim: The possible effects of maternal and placental ANRIL polymorphisms on preeclampsia were examined. Methods: The maternal blood of 315 preeclamptic and 317 control women and the placentas of 103 preeclamptic and 133 control women were enrolled in the study. ANRIL polymorphisms were genotyped using a PCR-RFLP method. Results: The maternal ANRIL rs1333048C variant showed a relationship with a lower risk of preeclampsia in codominant and dominant models. The maternal ANRIL rs4977574G variant had a relationship with a lower risk of preeclampsia in codominant and recessive models. There was an association between the placental rs1333048C variant and a lower risk of preeclampsia in codominant and dominant models. Conclusion: Maternal ANRIL rs1333048C and rs4977574G variants and placental rs1333048 variant showed a relationship with a lower risk of preeclampsia.

Influence of genetic polymorphisms on serum biomarkers of cardiac health

Cardiovascular diseases (CVDs) are a leading cause of death worldwide which is why early risk prediction is crucial. Discrete Polygenic risk score (PRS) measurement using saliva or dried blood spot samples collected at home poses a convenient means for early CVD risk assessment. The present study assessed the effects of 28 disease-associated single nucleotide polymorphisms (SNPs) on 16 serological cardiac markers and also aggregated the risk alleles into a PRS to evaluate its applicability in CVD-risk prediction. The study assessed genetic and serological markers in 184 individuals. The association between serological markers and individual genetic variants was evaluated using a two-tailed t test while the associations of serum markers with the PRS was analyzed using the Pearson correlation. The comparative analysis of genotypes revealed statistically significant associations between serum markers and CVD-associated SNPs with Apo B: Apo A-1, LDL Direct, Apo B, sdLDL, hsCRP, Lp(a), NT-proBNP, and PLAC levels being significantly associated with the risk alleles of the SNPs, rs12526453, rs5186, rs10911021, rs1801131, rs670, rs10757274, and rs10757278. Increased PLAC levels were associated with rs10757274 and rs10757278 (P < .05). The SNPs, rs1801133, rs1549758, rs1799983, rs5082, and rs5186 were significantly associated with an increase in the cardioprotective markers, HDL and ApoA1 (P < .05). Furthermore, the PRS was associated with increasing levels of several serum cardiac markers (r2 > 0.6). Significant correlations were observed between high PRSs and NT-proBNP and ox-LDL levels with the r2 values being 0.82 (95% CI = 0.13-0.99; P = .03) and 0.94 (95% CI = 0.63-0.99; P = .005), respectively. The present study reports that SNPs have differential effects on serum markers with rs12526453, rs5186, rs10911021, rs1801131, rs670, rs10757274, and rs10757278 showing significant associations with elevated marker levels, which are indicators of deteriorating cardiac health. A unified PRS using several SNPs was also associated with an increase in serum markers levels, especially, NT-proBNP and ox-LDL. Genetic assessment via a convenient at-home collection to calculate the PRS can serve as an effective predictive tool for early CVD-risk assessment. This may help identify the risk groups that may require increased serological monitoring.

The Potential of Single Nucleotide Polymorphisms (SNPs) as Biomarkers and Their Association with the Increased Risk of Coronary Heart Disease: A Systematic Review

Human genetic analyses and epidemiological studies showed a potential association between several types of gene polymorphism and the development of coronary heart disease (CHD). Many studies on this pertinent topic need to be investigated further to reach an evidence-based conclusion. Therefore, in this current review, we describe several types of gene polymorphisms that are potentially linked to CHD. A systematic review using the databases EBSCO, PubMed, and ScienceDirect databases was searched until October of 2022 to find relevant studies on the topic of gene polymorphisms on risk factors for CHD, especially for the factors associated with single nucleotide polymorphisms (SNPs). The risk of bias and quality assessment was evaluated by Joanna Briggs Institute (JBI) guidelines. From keyword search results, a total of 6243 articles were identified, which were subsequently narrowed to 14 articles using prespecified inclusion criteria. The results suggested that there were 33 single nucleotide polymorphisms (SNPs) that can potentially increase the risk factors and clinical symptoms of CHD. This study also indicated that gene polymorphisms had a potential role in increasing CHD risk factors that were causally associated with atherosclerosis, increased homocysteine, immune/inflammatory response, Low-Density Lipoprotein (LDL), arterial lesions, and reduction of therapeutic effectiveness. In conclusion, the findings of this study indicate that SNPs may increase risk factors for CHD and SNPs show different effects between individuals. This demonstrates that knowledge of SNPs on CHD risk factors can be used to develop biomarkers for diagnostics and therapeutic response prediction to decide successful therapy and become the basis for defining personalized medicine in future.

Genetic association of ANRIL with susceptibility to Ischemic stroke: A comprehensive meta-analysis

Background

Ischemic stroke (IS) is a complex polygenic disease with a strong genetic background. The relationship between the ANRIL (antisense non-coding RNA in the INK4 locus) in chromosome 9p21 region and IS has been reported across populations worldwide; however, these studies have yielded inconsistent results. The aim of this study is to clarify the types of single-nucleotide polymorphisms on the ANRIL locus associated with susceptibility to IS using meta-analysis and comprehensively assess the strength of the association.

Methods

Relevant studies were identified by comprehensive and systematic literature searches. The quality of each study was assessed using the Newcastle-Ottawa Scale. Allele and genotype frequencies were extracted from each of the included studies. Odds ratios with corresponding 95% confidence intervals of combined analyses were calculated under three genetic models (allele frequency comparison, dominant model, and recessive model) using a random-effects or fixed-effects model. Heterogeneity was tested using the chi-square test based on the Cochran Q statistic and I2 metric, and subgroup analyses and a meta-regression model were used to explore sources of heterogeneity. The correction for multiple testing used the false discovery rate method proposed by Benjamini and Hochberg. The assessment of publication bias employed funnel plots and Egger’s test.

Results

We identified 25 studies (15 SNPs, involving a total of 11,527 cases and 12,216 controls maximum) and performed a meta-analysis. Eight SNPs (rs10757274, rs10757278, rs2383206, rs1333040, rs1333049, rs1537378, rs4977574, and rs1004638) in ANRIL were significantly associated with IS risk. Six of these SNPs (rs10757274, rs10757278, rs2383206, rs1333040, rs1537378, and rs4977574) had a significant relationship to the large artery atherosclerosis subtype of IS. Two SNPs (rs2383206 and rs4977574) were associated with IS mainly in Asians, and three SNPs (rs10757274, rs1333040, and rs1333049) were associated with susceptibility to IS mainly in Caucasians. Sensitivity analyses confirmed the reliability of the original results. Ethnicity and individual studies may be the main sources of heterogeneity in ANRIL.

Conclusions

Our results suggest that some single-nucleotide polymorphisms on the ANRIL locus may be associated with IS risk. Future studies with larger sample numbers are necessary to confirm this result. Additional functional analyses of causal effects of these polymorphisms on IS subtypes are also essential.

Long non-coding RNAs in metabolic disorders: pathogenetic relevance and potential biomarkers and therapeutic targets

BACKGROUND

It has been suggested that dysregulation of long non-coding RNAs (lncRNAs) could be associated with the incidence and development of metabolic disorders.

AIM

Accordingly, this narrative review described the molecular mechanisms of lncRNAs in the development of metabolic diseases including insulin resistance, diabetes, obesity, non-alcoholic fatty liver disease (NAFLD), cirrhosis, and coronary artery diseases (CAD). Furthermore, we investigated the up-to-date findings on the association of deregulated lncRNAs in the metabolic disorders, and potential use of lncRNAs as biomarkers and therapeutic targets.

CONCLUSION

LncRNAs/miRNA/regulatory proteins axis plays a crucial role in progression of metabolic disorders and may be used in development of therapeutic and diagnostic approaches.

GATA2 rs2335052 and GATA2 rs78245253 single-nucleotide polymorphisms in Chinese patients with acute myelocytic leukemia

INTRODUCTION

GATA binding protein 2 (GATA2) gene, involved in progression of hematologic malignancies and various solid tumors, is a susceptibility gene for inherited acute myeloid leukemia (AML). However, the influence of its single-nucleotide polymorphisms (SNPs) on AML remains unknown.

METHODS

We used allele-specific PCR to genotype GATA2 rs2335052 and rs78245253 in 159 newly diagnosed AML (non-M3) patients and 300 healthy volunteers, and all of participants came from China. And 34 common hematological tumor gene mutations in 159 AML patients were detected by next-generation sequencing. Kaplan-Meier survival analysis and Cox proportional hazard regression were used to analyze the association between the two SNPs and the prognosis of AML.

RESULTS

We found GATA2 rs2335052 C/T genotype, rs2335052 T/T genotype and rs78245253 G/C genotype in 51.6%, 13.8% and 11.3% AML patients. Our results demonstrated that GATA2 rs2335052 and rs78245253 were associated with certain laboratory features in AML patients, which had no effect on the pathogeny, chemotherapy response and recurrence of patients. Nevertheless, Kaplan-Meier survival analysis showed that, compared with rs78245253 G/G genotype, rs78245253 G/C genotype was significantly related to a decrease in overall survival (OS) (P = .020). Additionally, multivariate cox regression analysis showed that GATA2 rs78245253 was an independent risk factor for OS of AML patients in China.

CONCLUSION

GATA2 rs78245253 was an independent predictor for prognosis of AML patients in China and may be used as a potential indicator to predict the survival of AML patients in China. Further studies are needed to validate these findings and clarify the underlying mechanism.

The GEnetic Syntax Score: a genetic risk assessment implementation tool grading the complexity of coronary artery disease-rationale and design of the GESS study

Background

Coronary artery disease (CAD) remains one of the leading causes of mortality worldwide and is associated with multiple inherited and environmental risk factors. This study is designed to identify, design, and develop a panel of genetic markers that combined with clinical and angiographic information, will facilitate the creation of a personalized risk prediction algorithm (GEnetic Syntax Score—GESS). GESS score could be a reliable tool for predicting cardiovascular risk for future adverse events and for guiding therapeutic strategies.

Methods

GESS (ClinicalTrials.gov Identifier: NCT03150680) is a prospective, non-interventional clinical study designed to enroll 1080 consecutive patients with no prior history of coronary revascularization procedure, who undergo scheduled or emergency coronary angiography in AHEPA, University General Hospital of Thessaloniki. Next generation sequencing (NGS) technology will be used to genotype specific single-nucleotide polymorphisms (SNPs) across the genome of study participants, which were identified as clinically relevant to CAD after extensive bioinformatic analysis of literature-based SNPs. Enrichment analyses of Gene Ontology-Molecular Function, Reactome Pathways and Disease Ontology terms were also performed to identify the top 15 statistically significant terms and pathways. Furthermore, the SYNTAX score will be calculated for the assessment of CAD severity of all patients based on their angiographic findings. All patients will be followed-up for one-year, in order to record any major adverse cardiovascular events.

Discussion

A group of 228 SNPs was identified through bioinformatic and pharmacogenomic analysis to be involved in CAD through a wide range of pathways and was correlated with various laboratory and clinical parameters, along with the patients' response to clopidogrel and statin therapy. The annotation of these SNPs revealed 127 genes being affected by the presence of one or more SNPs. The first patient was enrolled in the study in February 2019 and enrollment is expected to be completed until June 2021. Hence, GESS is the first trial to date aspiring to develop a novel risk prediction algorithm, the GEnetic Syntax Score, able to identify patients at high risk for complex CAD based on their molecular signature profile and ultimately promote pharmacogenomics and precision medicine in routine clinical settings.

Trial registration GESS trial registration: ClinicalTrials.gov Number: NCT03150680. Registered 12 May 2017- Prospectively registered, https://clinicaltrials.gov/ct2/show/NCT03150680.

Genetic Association of rs10757278 on Chromosome 9p21 and Coronary Artery Disease in a Saudi Population

Purpose

Coronary artery disease (CAD) is one of the most important leading causes of morbidity and mortality worldwide. Few studies have been carried out in the Saudi population regarding the association of rs10757278 polymorphism with CAD. This study aimed to investigate the association of the rs10757278 polymorphism with CAD in Saudi population.

Materials and Methods

In this case-control study, we recruited 437 patients with CAD and 251 cross-matched healthy controls and performed polymorphism genotyping for rs10757278 using a polymerase chain reaction followed by a restriction fragment length polymorphism analysis.

Results

The G allele (OR-1.44; 95% CI: 1.15–1.80; p=0.001), as GG (OR-2.13; 95% CI: 1.35–3.36; p=0.0009), in the dominant (OR-1.47; 95% CI: 1.03–2.10; p=0.03) and recessive mode (OR-1.84; 95% CI: 1.26–2.70; p=0.001) of inheritance showed a high-risk association. A disease stratified risk analysis was conducted and comparisons were made using an ANOVA analysis. Diabetes showed a risk association (p=0.001). However, a regression analysis confirmed that for the CAD cases, there was an association between the GG genotype and diabetes (p=0.005).

Conclusion

The results of this study suggest that the polymorphism rs10757278 is related to a high risk of CAD in a Saudi population.