Coronary Heart Disease Susceptibility Research Articles

Impact of missense TSBP1 variants on the susceptibility to coronary heart disease

BackgroundA genome-wide association study has recognized C6orf10-BTNL2 polymorphism in coronary artery disease. The goal of this study was to explore the potential correlation of nine missense TSBP1 variants with coronary heart disease (CHD) risk in the Chinese Han population. MethodsNine TSBP1 missense single nucleotide polymorphisms (SNPs) were selected for genotyping by the Agena MassARRAY platform. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to analyze the contribution of TSBP1 SNPs to CHD predisposition by logistic regression models adjusted by age, sex, drinking, and smoking. The correlation of TSBP1 variants with clinical data in CHD patients was examined by Kruskal-Wallis test. Resultsrs9268368-C (p = 0.039, OR = 1.18, 95 % CI: 1.01–1.38) was related to an increased risk of CHD, while rs3749966-C (p = 0.032, OR = 0.49, 95 % CI: 0.25–0.96) and rs3129941-A (p = 0.011, OR = 0.74, 95 % CI: 0.59–0.93) might be protective factors against CHD occurrence in the Chinese Han population. We also observed the effects of demographic characteristics (age, sex, alcohol consumption, and smoking) and complications (hypertension and diabetes) on the interactive association of TSBP1 polymorphisms with CHD susceptibility. rs139993810 was related to the levels of high-density lipoprotein cholesterol (HDL-C, p = 0.030). ConclusionsOur findings determined the association of TSBP1 rs9268368, rs3749966, and rs3129941 with CHD occurrence in the Chinese Han population, and highlighted the influence of demographic characteristics and complications on the interactive association of TSBP1 polymorphisms with CHD risk.

Genetic polymorphisms in VEGFA and VEGFR2 genes associated with coronary heart disease susceptibility and severity.

​Vascular endothelial growth factor A (VEGFA) is well acknowledged as a powerful angiogenesis-promoting agent mainly through its receptor VEGFR2. Ischemia stimulates VEGFA/VEGFR2 signaling pathway and elevated serum levels of VEGFA were detected in coronary heart disease (CHD) patients. The goal of the current study is to determine how four SNPs in the genes for VEGFA (rs3025039 and rs699947) and VEGFR2 (rs2305948 and rs1870377) contribute to the development of CHD. We also wanted to use the Gensini score to confirm if these four SNPs have an effect on the severity of coronary lesions. In this case-control research, we used the restriction fragment length polymorphism of the polymerase chain reaction to genotype 239 CHD patients and 200 controls. Age, sex, smoking behavior, and obesity were taken into account in the statistical analysis. Two VEGFA/VEFGR2 signaling pathway SNPs (rs699947 and rs1870377) were found to be associated with CHD (C vs. A, P = 0.002; OR = 1.47 (1.12-1.93); A vs. T, P = 0.001; OR = 1.58 (1.17-2.13) respectively). The rs2305948 showed no allelic associations with CHD susceptibility, although we noticed a slight association under the recessive model of rs3025039 TT genotype (p = 0.023; OR = 6.41 (1.14-36.12)) only under adjusted analyses. In addition, both VEGFA SNPs (rs699947and rs3025039) were found to be associated with high Gensini score (p < 0.001). Our research helps to shed further light on the pathophysiology of CHD. The VEGFA/VEGFR2 signaling pathway may have been downregulated, increasing CHD susceptibility and risk.

Abstract P1045: Replacement Of Wearable-device-measured Sedentary Time By Physical Activity, Genetic Susceptibility, And Risk Of Coronary Heart Disease

Backgrounds: Excess sedentary time (ST) is recognized as an important modifiable risk factor for coronary heart disease (CHD). However, whether the associations of genetic susceptibility with CHD incidence can be modified by replacing wearable-device-measured ST with physical activity (PA) is unknown. This study aims to examine the combined associations of genetic susceptibility to CHD, and wearable-device-measured ST replaced by moderate-to-vigorous PA (MVPA) or light PA in relation to incident CHD. Methods and Findings: This study included 75,545 white British (57% female) with valid wrist-worn accelerometer data and without prevalent CHD/stroke from UK Biobank. Genetic susceptibility to CHD was quantified through weighted polygenic risk scores for CHD based on 300 single-nucleotide polymorphisms. Wrist-worn accelerometer data were used to derive ST, light PA and MVPA. The hazard ratio of CHD was 1.36 (95% CI: 1.03-1.80) for every-30-minute/day-increase in ST relative to other movement behaviors, after adjusting for genetic risk and confounders. Reallocation of any amount of ST (as little as 1 minute/day) into the same MVPA time (but not light PA) was associated with lower CHD hazards overall and within strata of genetic risk: no evidence of interaction between genetic risk and ST (p-value: 0.739). However, differences in absolute risk of CHD for ST replaced by MVPA were greater at high genetic risk versus low genetic risk. Limitations of our study include no causal evidence derived, limited generalizability to individuals of other ethnic groups or with sub-clinical symptoms, and potential residual confounding. Conclusions: Replacing any amount of ST with an equal amount of MVPA time is associated with a lower relative risk of developing CHD at all levels of genetic susceptibility to CHD. Potential reductions in absolute risk of CHD through replacement of ST by MVPA in equivalent amounts may be greater in individuals at high genetic risk of CHD.

Association of the L3MBTL3 rs1125970 and rs4897367 Gene Polymorphisms With Coronary Heart Disease Susceptibility in the Chinese Population: A Case-Control Study.

Coronary heart disease (CHD) is a prevalent heart disease with high incidence and mortality rates worldwide, and its pathogenesis is related to genetic factors. L3MBTL3 has been reported to be potentially linked to CHD susceptibility. This study aims to explore the correlation between L3MBTL3 single nucleotide polymorphisms (SNPs) and CHD risk in the Chinese population. Three SNPs (rs1125970 A/T, rs4897367 T/C, and rs2068957 A/G) in L3MBTL3 from 649 patients with CHD and 649 healthy controls were genotyped using the Agena MassARRAY platform. The relationship between SNPs and CHD risk was evaluated by logistic regression analysis. Our study indicated that rs1125970 (TT: odds ratio [OR] = 0.76, P = 0.014) and rs4897367 (TT: OR = 0.74, P = 0.021) were related to a decreased susceptibility to CHD. Stratified analyses showed that rs1125970 could reduce the risk of CHD in males, subjects aged <60 years, with a body mass index <24 kg/m 2 , and nonhypertensive patients. rs4897367 exerted a risk-decreasing influence on CHD in nondiabetic patients. In the haplotype analysis, individuals with the T rs4897367 A rs2068957 haplotype were less likely to develop CHD (OR = 0.74, P = 0.024). In summary, L3MBTL3 rs1125970 and rs4897367 were significantly correlated with a decreased susceptibility to CHD in the Chinese population.

Mode of transport, genetic susceptibility, and incidence of coronary heart disease

BackgroundCar use has been associated with higher risk of coronary heart disease (CHD). However, whether the associations of transport modes with CHD vary by genetic susceptibility to CHD are unknown. This study aims to investigate the associations of genetic susceptibility and modes of transport with incidence of CHD.MethodsWe included 339,588 white British participants from UK Biobank with no history of CHD or stroke at baseline or within two years of follow-up (52.3% in work). Genetic susceptibility to CHD was quantified through weighted polygenic risk scores derived from 300 single-nucleotide polymorphisms related to CHD risk. Categories of transport mode included exclusive car use and alternatives to the car (e.g., walking, cycling and public transport), separately for non-commuting (e.g., getting about [n=339,588] excluding commuting for work), commuting (in the sub-set in work [n=177,370] who responded to the commuting question), and overall transport (transport mode for both commuting and non-commuting [n=177,370]). We used Cox regression with age as the underlying timescale to estimate hazard ratios (HR) of CHD (n=13,730; median 13.8-year follow-up) and tested the interaction between genetic susceptibility and travel modes with adjustment for confounders.ResultsCompared to those using alternatives to the car, hazards of CHD were higher for exclusive use of cars for overall transport (HR: 1.16, 95% confidence interval (CI): 1.08-1.25), non-commuting (HR: 1.08, 95% CI: 1.04-1.12) and commuting (HR: 1.16, 95% CI: 1.09-1.23), after adjusting for confounders plus genetic susceptibility. HRs of CHD were 1.45 (95% CI: 1.38-1.52) and 2.04 (95% CI: 1.95-2.12) for the second and third tertile of genetic susceptibility to CHD, respectively, compared to the first. There was, in general, no strong evidence of interactions between genetic susceptibility and categories of overall, non-commuting and commuting transport. Estimated 10-year absolute risk of CHD was lower for the alternatives to the car across strata of genetic susceptibility, compared with exclusive use of cars for overall, non-commuting and commuting transport.ConclusionExclusive use of cars was associated with a relatively higher risk of CHD across all strata of genetic susceptibility. Using alternatives to the car should be encouraged for prevention of CHD for the general population including individuals at high genetic risk.

Association between microRNA-146a rs2910164 polymorphism and coronary heart disease: An updated meta-analysis.

Coronary heart disease (CHD) is one of the manifestations of atherosclerosis with a high morbidity rate. MicroRNA (miRNA)-146a rs2910164, a single nucleotide polymorphism, is associated with the progression of CHD risk. However, the results are controversial and uncertain. Therefore, an updated meta-analysis was conducted to evaluate the association between rs2910164 and CHD susceptibility. PubMed, Cochrane Library, EMBASE, Web of Science, China's National Knowledge Infrastructure, VIP, and Wan fang were searched for the eligible articles until April 30, 2022. The odds ratios (ORs) with 95% confidence interval (CIs) were calculated to assess the correlation. Bonferroni correction was utilized between multiple comparisons. Trial sequential analysis was performed to measure the required information size and assess the reliability of the meta-analysis results. A total of 18 eligible studies, including 6859 cases and 8469 controls, were analyzed in our meta-analysis. After Bonferroni correction, we found that the G allele at rs2910164 was associated with significantly decreased CHD risk in the allelic model (OR = 0.86), homozygous model (OR = 0.79), and heterozygous model (OR = 0.89) in total population. In the subgroup analysis, the subjects containing the G allele and GG genotype were associated with a lower risk of CHD in the Chinese population, not the GG + CG and CG genotype. In addition, under the allelic, homozygous, heterozygous, and dominant models, miR-146a rs2910164 was at lower CHD risk in the large size population except in the recessive model. These results show that miR-146a rs2910164 might be associated with lower CHD susceptibility.

Genetic variants in CYP11B1 influence the susceptibility to coronary heart disease

BackgroundGenetic factors are important risk factors to develop coronary heart disease (CHD). In this study, we mainly explored whether CYP11B1 mutations influence CHD risk among Chinese Han population.MethodsSix variants were genotyped using Agena MassARRAY system from 509 CHD patients and 509 healthy controls. The correlations between CYP11B1 mutations and CHD risk were assessed using odds ratio (OR) and 95% confidence interval (95% CI) by logistic regression. The haplotype analysis and were ultifactor dimensionality reduction (MDR) were conducted.ResultsIn the overall analysis, CYP11B1 polymorphisms were not correlated with CHD susceptibility. In the stratified analysis, we found that rs5283, rs6410, and rs4534 are significantly associated with susceptibility to CHD dependent on age and gender (p < 0.05). Moreover, we also observed that rs5283 and rs4534 could affect diabetes/hypertension risk among CHD patients (p < 0.05). In addition, the Crs4736312Ars5017238Crs5301Grs5283Trs6410Crs4534 haplotype of CYP11B1 reduce the susceptibility to CHD (p < 0.05).ConclusionsWe found that rs4534, rs6410 and rs5283 in CYP11B1 gene influence the susceptibility to CHD, which depend on age and gender.

Missense Variant rs28362680 in BTNL2 Reduces Risk of Coronary Heart Disease.

BackgroundThe pathological basis of coronary heart disease (CHD) is atherosclerosis. BTNL2 can inhibit the activation of T cells. We aimed to explore the association between BTNL2 genetic variants and CHD risk in the southern Chinese Han population.MethodsWe recruited 1419 participants to perform an association analysis between missense variants in BTNL2 and CHD risk through SNPStats online software. Genotyping of all candidate SNPs were completed by the Agena MassARRAY. In addition, we used false-positive report probability analysis to detect whether the positive findings were noteworthy observations. We also used Haploview 4.2 software and SNPStats online software to conduct the haplotype analysis and analysis of linkage disequilibrium (LD). Finally, the interaction of SNP-SNP in CHD risk was evaluated by multi-factor dimensionality reduction (MDR).ResultsThe results showed that BTNL2-rs35624343, -rs117896888, -rs41441651, -rs41417449, -rs28362680 and -rs2076523 were significantly associated with the CHD susceptibility. Especially for BTNL2-rs28362680, the allele A (OR = 0.68, p < 0.0001), genotype AA (OR = 0.40, p = 0.001) or GA (OR = 0.68, p < 0.0001) were associated with the reducing CHD risk. And -rs28362680 significantly reduced the CHD risk under all genetic models (dominant: OR = 0.64, p < 0.0001; recessive: OR = 0.47, p = 0.003; overdominant: OR = 0.73, p = 0.004; log-additive: OR = 0.66, p < 0.0001). And -rs28362680 was also closely associated with CHD risk reduction in all stratified analyses (age, gender, smoking, drinking, hypertension and diabetes). In addition, haplotype analysis showed that the “Crs117896888Crs41441651Trs41417449Ars28362680” (OR = 0.65, p < 0.0001) and “Grs117896888Trs41441651Crs41417449Ars28362680” (OR = 0.68, p = 0.013) may reduce CHD risk.ConclusionMissense variants (rs35624343, rs117896888, rs41441651, rs41417449, rs28362680, rs2076523) may be protective factors for the CHD risk. In particular, there were sufficient evidences that BTNL2-rs28362680 can protective CHD risk.

Contribution of CYP19A1, CYP1A1, and CYP1A2 polymorphisms in coronary heart disease risk among the Chinese Han population.

The previous study has pointed to that endogenous CYP metabolites play an important role in the pathogenesis of coronary heart disease (CHD). The study aimed to identify the association of CYP19A1, CYP1A1, and CYP1A2 polymorphisms with CHD susceptibility in a Chinese Han population. A total of 960 genetically unrelated participants consist of 480 CHD patients and 480 healthy controls were enrolled. Nine SNPs in CYP19A1, CYP1A1, and CYP1A2 were randomly selected and genotyped using the Agena MassARRAY platform. Logistic regression analysis was used for the relationship between selected SNPs and CHD susceptibility by calculating odds ratios (OR) with 95% confidence intervals (CI) adjusted for age and gender. The distribution of clinical characteristics in different genotypes was evaluated by one-way analysis of variance (ANOVA). CYP1A2 rs2470890 TT genotype had a higher CHD risk compared with CC genotype (OR = 3.06, p = 0.032) or CC-CT genotype (OR = 3.04, p = 0.033). Moreover, the contribution of CYP19A1 and CYP1A2 polymorphisms to CHD susceptibility was associated with age, gender, and clinical phenotypes (course of the disease and Gensini score). Besides, CYP1A2 rs762551 was related to serum levels of red blood cell, triglyceride, total cholesterol, and low-density lipoprotein cholesterol (LDL-C, p < 0.05). Our findings provided scientific evidence about CYP19A1, CYP1A1, and CYP1A2 polymorphisms on CHD incidence.

GAS5/METTL14/ESR1 genetic variants are related to the susceptibility of coronary heart disease.

The prevention and treatment of coronary heart disease (CHD) is a difficult problem to be solved urgently. Genetic factors play a crucial role in CHD development. This study aimed to investigate the association of GAS5/METTL14/ESR1 polymorphisms with CHD susceptibility. We carried out a case-control study that included 506 patients and 506 healthy subjects to detect the correlation between GAS5/METTL14/ESR1 polymorphisms and CHD risk in a Chinese population. Odds ratios (OR) and 95% confidence intervals (CI) were computed to assess the associations. Our study showed that GAS5 rs17359906 (OR 2.32, p = 0.020) and rs75315904 (OR 0.41, p = 0.039) were related to the risk of CHD in females. ESR1 rs6927072 (OR 1.76, p = 0.007) and rs4870061 (OR 0.74, p = 0.036) correlated with CHD risk in age ≤ 60years. GAS5 rs17359906 (OR 0.10, p = 0.032) and ESR1 rs3020308 (OR 2.73, p = 0.041) were associated with an increased susceptibility to CHD in smokers. We also found that METTL14 rs4834698 (OR 1.57, p = 0.044) and ESR1 rs4870061 (OR 0.62, p = 0.040) were associated with CHD susceptibility in non-drinkers. Besides, METTL14 rs17050450 (OR 0.48, p = 0.029) and ESR1 rs3853248 (OR 1.61, p = 0.018) had the susceptibility of CHD patients with diabetes. Our study indicated that GAS5/METTL14/ESR1 polymorphisms were associated with CHD risk, which might provide a new understanding of CHD in a Chinese population.

American Heart Association's Life's Simple 7: Lifestyle Recommendations, Polygenic Risk, and Lifetime Risk of Coronary Heart Disease.

Background:Understanding the effect of lifestyle and genetic risk on the lifetime risk of coronary heart disease (CHD) is important to improving public health initiatives. Our objective was to quantify remaining lifetime risk and years free of CHD according to polygenic risk and the American Heart Association’s Life’s Simple 7 (LS7) guidelines in a population-based cohort study.Methods:Our analysis included data from participants of the ARIC (Atherosclerosis Risk in Communities) study: 8372 White and 2314 Black participants; 45 years of age and older; and free of CHD at baseline examination. A polygenic risk score (PRS) comprised more than 6 million genetic variants was categorized into low (<20th percentile), intermediate, and high (>80th percentile). An overall LS7 score was calculated at baseline and categorized into “poor,” “intermediate,” and “ideal” cardiovascular health. Lifetime risk and CHD-free years were computed according to polygenic risk and LS7 categories.Results:The overall remaining lifetime risk was 27%, ranging from 16.6% in individuals with an ideal LS7 score to 43.1% for individuals with a poor LS7 score. The association of PRS with lifetime risk differed according to ancestry. In White participants, remaining lifetime risk ranged from 19.8% to 39.3% according to increasing PRS categories. Individuals with a high PRS and poor LS7 had a remaining lifetime risk of 67.1% and 15.9 fewer CHD-free years than did those with intermediate polygenic risk and LS7 scores. In the high-PRS group, ideal LS7 was associated with 20.2 more CHD-free years compared with poor LS7. In Black participants, remaining lifetime risk ranged from 19.1% to 28.6% according to increasing PRS category. Similar lifetime risk estimates were observed for individuals of poor LS7 regardless of PRS category. In the high-PRS group, an ideal LS7 score was associated with only 4.5 more CHD-free years compared with a poor LS7 score.Conclusions:Ideal adherence to LS7 recommendations was associated with lower lifetime risk of CHD for all individuals, especially in those with high genetic susceptibility. In Black participants, adherence to LS7 guidelines contributed to lifetime risk of CHD more so than current PRSs. Improved PRSs are needed to properly evaluate genetic susceptibility for CHD in diverse populations.

Functional Deletion/Insertion Promoter Variants in SCARB1 Associated With Increased Susceptibility to Lipid Profile Abnormalities and Coronary Heart Disease.

Background: Genetic variants in Scavenger receptor Class B Type 1 (SCARB1) influencing high-density lipoprotein cholesterol (HDL-C) and coronary heart disease (CHD) risk were identified by recent genome-wide association studies. Further study of potential functional variants in SCARB1 may provide new ideas of the complicated relationship between HDL-C and CHD.Methods: 2000 bp in SCARB1 promoter region was re-sequenced in 168 participants with extremely high plasma HDL-C and 400 control subjects. Putative risk alleles were identified using bioinformatics analysis and reporter-gene assays. Two indel variants, rs144334493 and rs557348251, respectively, were genotyped in 5,002 CHD patients and 5,175 control subjects. The underlying mechanisms were investigated.Results: Through resequencing, 27 genetic variants were identified. Results of genotyping in 5,002 CHD patients and 5,175 control subjects revealed that rs144334493 and rs557348251 were significantly associated with increased risk of CHD [odds ratio (OR): 1.28, 95% confidence interval (CI): 1.09 to 1.52, p = 0.003; OR: 2.65, 95% CI: 1.66–4.24, p = 4.4 × 10−5). Subsequent mechanism experiments demonstrated that rs144334493 deletion allele attenuated forkhead box A1 (FOXA1) binding to the promoter region of SCARB1, while FOXA1 overexpression reversely increased SR-BI expression.Conclusion: Genetic variants in SCARB1 promoter region significantly associated with the plasma lipid levels by affecting SR-BI expression and contribute to the susceptibility of CHD.

The Effect of Circulating Oxidized LDL and High Sensitivity C-Reactive Protein on Coronary Heart Disease Susceptibility in a South Indian Population.

The mechanism by which circulating ox-LDL and inflammatory indicators such as high sensitivity C-reactive protein may exert their impact on the development of CHD is still poorly understood. The study aims to measure the levels of circulating oxidized LDL and high sensitive C - reactive protein in CHD subjects. This cross-sectional study was conducted in the Department of Cardiology, General Medicine, and Master health check-up OP of SRM Medical college hospital and research centre, Tamil Nadu, India. A total of 182 subjects in which 91 CHD subjects and 91 healthy control in the age group of 30 to 55. ox-LDL and hs-CRP were measured by ELISA method and Lipid Profile is measured using Auto Analyzer AU480. Statistical analysis was done using the student ‘t’ test and Pearson correlation analysis was done for the comparison between two groups. The mean level ox-LDL and hs-CRP in CHD were elevated and statistically significant (p-value &lt;0.001) compared to healthy controls. Ox-LDL was positively correlated with and hs-CRP. This study brings new insights that Ox-LDL and CRP may play a direct role in promoting the inflammatory component of atherosclerosis. Furthermore, more emphasis should be placed on these oxidative stress indicators in the prevention and treatment of CHD.

CDKN2B‐AS1 gene rs4977574 A/G polymorphism and coronary heart disease: A meta‐analysis of 40,979 subjects

It has been implied that there is a possible relationship between cyclin‐dependent protein kinase inhibitors antisense RNA 1 (CDKN2B‐AS1) gene rs4977574 A/G polymorphism and coronary heart disease (CHD) susceptibility. However, as the research results are discrepant, no distinct consensus on this issue has been reached so far. In order to further elaborate the latent association of the CDKN2B‐AS1 gene rs4977574 A/G polymorphism and CHD, this present meta‐analysis was conducted. There were 40,979 subjects of 17 individual studies in the present meta‐analysis. The pooled odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated to determine the association strength. Considering the significant heterogeneity among the individual studies, the random‐effect models were used. In the current meta‐analysis, a significant association between CDKN2B‐AS1 gene rs4977574 A/G polymorphism and CHD was found under allelic (OR: 1.18, 95% CI: 1.08–1.29, p = 4.83×10−4), recessive (OR: 1.36, 95% CI: 1.11–1.67, p = 0.003), dominant (OR: 0.71, 95% CI: 0.58–0.86, p = 6.26×10−4), heterozygous (OR:1.210, 95% CI: 1.076–1.360, p = 0.001), homozygous (OR: 1.394, 95% CI: 1.163–1.671, p = 3.31×10−4) and additive (OR: 1.180, 95% CI: 1.075–1.295, p = 4.83×10−4) genetic models. A more significant association between them was found in the Asian population than that in the whole population under these genetic models (p < 0.05). However, no significant association between them was found in the Caucasian population (p > 0.05). CDKN2B‐AS1 gene rs4977574 A/G polymorphism was associated with CHD susceptibility, especially in the Asian population. G allele of CDKN2B‐AS1 gene rs4977574 A/G polymorphism is the risk allele for CHD.

The association study between CYP20A1, CYP4F2, CYP2D6 gene polymorphisms and coronary heart disease risk in the Han population in southern China.

Coronary heart disease (CHD) is a disease that seriously harms human health. Genetic factors seriously affect the CHD susceptibility. The CYP20A1, CYP4F2 and CYP2D6 are important drug metabolism enzymes in the human body. We aimed to explore the association between CYP20A1, CYP4F2, CYP2D6 single nucleotide polymorphisms (SNPs) and CHD risk in the Chinese Southern Han population. Based on the 'case-control' experimental design (505 cases and 508 controls), we conducted an association study between 5 candidate SNPs selected from CYP20A1 (rs2043449), CYP4F2 (rs2108622, rs3093106, rs309310), CYP2D6 (rs1065852) and CHD risk. Logistic regression was used to analyze the CHD susceptibility under different genetic models. Multi-factor dimensionality reduction (MDR) was used to analyze the interaction of 'SNP-SNP' in CHD risk. Our results showed that under multiple genetic models, CYP2D6 rs1065852 significantly increased the CHD risk in these participants who are ≤ 60years old (OR 1.40, CI 1.07-1.82, p = 0.013), smokers (OR 1.40, CI 1.02-1.93, p = 0.039), or have family history (OR 1.24, CI 1.02-1.51, p = 0.035). CYP4F2 SNPs rs2108622 (OR 0.63, CI 0.43-0.93, p = 0.020), rs3093106 (OR 0.52, CI 0.29-0.92, p = 0.023), and rs309310 (OR 0.55, CI 0.31-0.96, p = 0.033) were potentially associated with the course of CHD patients. Our study found that CY2D6 rs1065852 has an outstanding and significant association with increased CHD risk. Our study provided data supplements for CHD genetic susceptibility loci, and also provided a new and valuable reference for CHD drug treatment.

Contribution of lncRNA CASC8, CASC11, and PVT1 Genetic Variants to the Susceptibility of Coronary Heart Disease.

The purpose of this study was to explore the relationship between lncRNA CASC8, CASC11, and plasmacytoma variant translocation 1 (PVT1). genetic variants and coronary heart disease (CHD) susceptibility among a Chinese Han population. Five single nucleotide polymorphisms were genotyped by Agena MassARRAY platform among 464 CHD patients and 510 healthy controls. Binary logistic regression models by calculating odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the association between selected single nucleotide polymorphisms and CHD risk. Multifactor dimensionality reduction analysis was performed to analyze gene-gene interaction. PVT1 rs4410871 (OR = 0.77, P = 0.040) was associated with a reduced risk of CHD occurrence in the Chinese population. CASC11 rs9642880 (OR = 1.49, P = 0.021) was a risk factor for increased CHD susceptibility in subjects over 60 years old, and PVT1 rs4410871 was a protective factor for CHD susceptibility in males (OR = 0.67, P = 0.015) and smokers (OR = 0.62, P = 0.047). Complications (hypertension or diabetes) of CHD influenced the association between CASC8, CASC11, and PVT1 genetic polymorphisms and CHD predisposition. Moreover, CASC8, CASC11, and PVT1 polymorphisms were related to the number of pathological branches and Gensini score in CHD patients. The study displayed the contribution of CASC8, CASC11, and PVT1 genetic polymorphisms to CHD predisposition, and these variants could serve as potential biomarkers of CHD susceptibility. These findings contribute to enhancing the understanding of the role of lncRNA polymorphisms in CHD risk.

Role of IL-9, IL-2RA, and IL-2RB genetic polymorphisms in coronary heart disease.

Coronary heart disease (CHD) is one of the leading causes of disability and death worldwide. Inflammatory cytokines play an essential role in the pathogenesis of CHD. This study aimed to detect the potential association between interleukin (IL)-9, IL-2RA, and IL-2RB variants and CHD in aHan Chinese population. This case-control study included 499 CHD patients and 496 healthy controls. Seven single-nucleotide polymorphisms (SNPs) were genotyped to investigate the possible association between the polymorphisms and CHD risk. Interactions between SNPs and CHD risk were analyzed via multifactor dimensionality reduction (MDR). We observed an association between IL‑9 rs55692658 (OR = 1.72, p = 0.003) and increased CHD risk. Age-stratified analysis indicated that regardless of the participants' age, IL‑9 rs55692658 and IL-2RB rs1573673 contributed significantly to CHD susceptibility (p < 0.05, respectively). Results showed an association between IL‑9 rs55692658 and an increased risk for CHD (OR = 2.32, p = 0.003), while IL-2RA rs12722498 was correlated with decreased susceptibility to CHD (OR = 0.54, p = 0.033) in female patients. Furthermore, IL-2RA rs12569923 was related to diabetes risk in CHD patients (OR = 1.50, p = 0.028). The MDR analysis revealed apositive interaction between the SNPs. The present study demonstrated that IL‑9 rs55692658, IL-2RA rs12569923, IL-2RA rs12722498, and IL-2RB rs3218264 polymorphisms might be related to CHD. The results require validation in larger studies.

FVII gene R353Q polymorphism and coronary heart disease: a meta-analysis including 3258 subjects.

The coagulation factor VII (FVII) gene R353Q polymorphism is suggested to be relevant to the coronary heart disease (CHD) susceptibility. However, the results of separate studies are not consistent with one another. A meta-analysis including 3258 participants from nine studies was conducted to investigate the relationship between the FVII gene R353Q polymorphism and the CHD in the Chinese population. The fixed-effect models were used to assess the pooled odds ratios (ORs) and their corresponding 95% confidence intervals. A significant association was observed between the FVII gene R353Q polymorphism and the CHD in the Chinese population under allelic (OR 1.34, 95% CI 1.10-1.65, P = 0.004), dominant (OR 0.68, 95% CI 0.55-0.85, P = 0.0006), and heterozygous (OR 0.68, 95% CI 0.55-0.85, P = 0.0007) genetic models. The FVII gene R353Q polymorphism was significantly correlated with the CHD susceptibility in the Chinese population. Persons with the R allele of the FVII gene R353Q polymorphism might have greater CHD risk than others.

Association of cytochrome P450 2C19 polymorphisms with coronary heart disease risk: A protocol for systematic review and meta analysis.

Background:Polymorphisms in the cytochrome P450 2C19 (CYP2C19) gene have been reported to be associated with coronary heart disease (CHD), but the results were not consistently analyzed among different patient groups. To derive a more precise estimation of these associations, we will conduct a meta-analysis to investigate the polymorphisms of CYP2C19 in all published studies.Methods:Electronic databases (Google Scholar, ISI Web of Science, Pubmed, Embase, China National Knowledge Infrastructure, Wanfang, and China Biological Medicine) will be used to search clinical case-control or cohort studies about CYP2C19 polymorphism and CHD published until November 2020. Two reviewers will independently select the study, extract the data, and evaluate the quality of the study. Odds ratios with 95% confidence interval will be used to evaluate the strength of the association between the CYP2C19 polymorphism and CHD susceptibility under 4 genetic models. Subgroup analysis will be conducted by different ethnicity and genotyping method. Sensitivity analysis will be performed via sequentially omitting each of the included studies 1 at a time. Begg funnel plots and Egger test will be used to examine the potential publication bias. All the statistical analyses will be performed using Review Manager 5.3 and Stata 12.0.Results:This study will provide a better understanding of the association between CYP2C19 polymorphisms and coronary heart disease risk.Conclusion:The publication of this protocol will minimize the possibility of bias due to post hoc changes to the analysis protocol, thus helping to obtain reliable evidence.OSF registration number:DOI 10.17605/OSF.IO/R7U93

ICAM-1 and MKL-1 polymorphisms impose considerable impacts on coronary heart disease occurrence.

This study was aimed to explore the correlation of intercellular adhesion molecule‐1 (ICAM‐1) K469E and megakaryoblastic leukaemia factor‐1 (MKL‐1) −184C/T polymorphisms with the susceptibility to coronary heart disease (CHD) in the Chinese Han population. 100 CHD patients and 91 healthy people that had no blood connection with each other were enrolled in this case‐control study. ICAM‐1 and MKL‐1 polymorphisms were genotyped by polymerase chain reaction‐restriction fragment length polymorphism (PCR‐RFLP) approach. Multiple logistic regression was used to analyse the correlation between polymorphisms of ICAM‐1 and MKL‐1 and CHD susceptibility. Differences of genotype and allele frequencies of the two SNPs between case and control groups were analysed by chi‐square test. Odds ratios (ORs) and 95% confidence intervals (CIs) were indicated relative susceptibility of CHD. The distributions of ICAM‐1 and MKL‐1 polymorphisms in each group conformed to Hardy‐Weinberg equilibrium (HWE). After adjusting for traditional risk factors, the TT genotype frequency of MKL‐1 −184C/T polymorphism was found significantly higher in case group than in control group (P < .05). Meanwhile, T allele frequency increased in case group compared with control group, and the differences had statistical significance (P = .04, OR = 2.34, 95% CI = 1.34‐5.26). Logistic regression analysis in this study proved that smoking, hypertension, diabetes and triglyceride (TG) were all risk factors for CHD ICAM‐1 K469E polymorphism has no association with the onset of CHD. But MKL‐1 −184C/T polymorphism is associated with the risk of CHD and T allele might be a susceptibility factor for CHD.