scholarly journals Cis-epistasis at the LPA locus and risk of coronary artery disease

2019 ◽  
Author(s):  
Lingyao Zeng ◽  
Nazanin Mirza-Schreiber ◽  
Claudia Lamina ◽  
Stefan Coassin ◽  
Christopher P. Nelson ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Association Studies ◽  
Arterial Disease ◽  
Genome Wide Association Studies ◽  
Interaction Patterns ◽  
Cardiovascular Risks ◽  
Increased Risk ◽  
Artery Disease ◽  
Cad Risk

AbstractIdentification of epistasis affecting complex human traits has been challenging. Focusing on known coronary artery disease (CAD) risk loci, we explore pairwise statistical interactions between 8,068 SNPs from ten CAD genome-wide association studies (n=30,180). We discovered rs1800769 and rs9458001 in the vicinity of the LPA locus to interact in modulating CAD risk (P=1.75×10−13). Specific genotypes (e.g., rs1800769 CT) displayed either significantly decreased or increased risk for CAD in the context of genotypes of the respective other SNP (e.g., rs9458001 GG vs. AA). In the UK Biobank (n=450,112) significant interaction of this SNP pair was replicated for CAD (P=3.09×10−22), and was also found for aortic valve stenosis (P=6.95×10−7) and peripheral arterial disease (P=2.32×10−4). Identical interaction patterns affected circulating lipoprotein(a) (n=5,953; P=8.7×10−32) and hepatic apolipoprotein(a) (apo(a)) expression (n=522, P=2.6×10−11). We further interrogated potential biological implications of the variants and propose a mechanism explaining epistasis that ultimately may translate to substantial cardiovascular risks.

Recent success in the discovery of coronary artery disease genes

2011 ◽  
Vol 89 (8) ◽  
pp. 609-615 ◽  
Author(s):  
Robert Roberts ◽  
Li Chen ◽  
George A. Wells ◽  
Alexandre F.R. Stewart
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Association Studies ◽  
Short Interval ◽  
Minimal Risk ◽  
Genome Wide Association Studies ◽  
Common Diseases ◽  
Multiple Genes ◽  
Increased Risk ◽  
Artery Disease

For more than 50 years, epidemiological studies have indicated that genetic predisposition accounts for approximately 50% of the susceptibility to coronary artery disease (CAD) and its sequelae, including myocardial infarction. Since common diseases such as CAD are caused by multiple genes, the age-old method of linkage analysis used to map monogenic Mendelian disorders in families unfortunately lacks the required sensitivity. The technology to identify genes predisposing individuals to CAD and other common diseases did not become available until 2005. This technology provided computerized arrays containing hundreds of thousands of DNA markers in the form of single-nucleotide polymorphisms (SNPs). This made it possible to pursue an unbiased approach referred to as genome-wide association studies. The first gene for CAD was simultaneously identified by 2 independent groups in 2007. In a very short interval, a total of 23 loci were mapped that were linked to increased risk for CAD. The results of these studies confirm that CAD is caused by multiple genes, each contributing minimal risk. The most exciting and novel findings are that these loci do not act through known risk factors for CAD and that the loci are more likely to be in DNA regions that regulate transcription rather than being in coding regions for protein.

scholarly journals The SNP rs7865618 of 9p21.3 locus emerges as the most promising marker of coronary artery disease in the southern Indian population

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Gorre Manjula ◽  
Rayabarapu Pranavchand ◽  
Irgam Kumuda ◽  
B. Sriteja Reddy ◽  
Battini Mohan Reddy
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Indian Population ◽  
Interaction Analysis ◽  
Association Studies ◽  
Specific Marker ◽  
Genome Wide Association Studies ◽  
Coronary Syndrome ◽  
Increased Risk ◽  
Artery Disease

AbstractDevelopment of coronary artery disease (CAD) is primarily due to the process of atherosclerosis, however the prognosis of CAD depends on pleiotropic effects of the genes located at 9p21.3 region. Genome wide association studies revealed association of variants in this region with CAD pathology. However, specific marker in predicting CAD development or progression is not yet identified. In the present study, 35 SNPs at 9p21.3 region, located in the cyclin dependent kinase inhibitor (CDKN2A/CDKN2B) genes, were genotyped among 350 CAD cases and 480 controls from the southern Indian population of Hyderabad using fluidigm nanofluidic SNP genotyping system and the data were analyzed using PLINK and R softwares. Of the 35 SNPs analysed, only one SNP, rs7865618, was found to be highly significantly associated with CAD, even after correction for multiple testing (p = 0.008). The AG and GG genotypes of this SNP conferred 3.08 and 1.93 folds increased risk for CAD respectively. In particular, this SNP was significantly associated with severe anatomic (triple vessel disease p = 0.023) and phenotypic (acute coronary syndrome p = 0.007) categories of CAD. Pair wise SNP interaction analysis between the SNPs of 9p21.3 and 11q23.3 regions revealed significantly increased risk of three SNPs of 11q23.3 region that were not associated individually, in conjunction with rs7865618 of 9p21.3.

scholarly journals Associations of Gene Expressions in Liver and Blood Cells and Circulating Proteins With Coronary Artery Disease

2021 ◽  
Author(s):  
Tianci Chai ◽  
Zhisheng Wan ◽  
Xiaojie Yang ◽  
Zhihuang Qiu ◽  
Liangwan Chen
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Blood Cells ◽  
Apolipoprotein B ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Gene Expressions ◽  
Expression Levels ◽  
Artery Disease ◽  
Cad Risk

Abstract Background: Circulating low-density lipoprotein cholesterol (LDL-C) plays a causal role in coronary artery disease (CAD). However, genetic risk factors of CAD were not yet fully understood. The aim of the study was to identify additional factors that contributed to CAD.Methods: We conducted integrative analysis on publicly available data from genome-wide association studies and quantitative trait locus studies by employing two-sample Mendelian randomization methods to examine the associations of gene expression and circulating protein levels with LDL-C and CAD.Results: We found that mRNA expression levels of SORT1, PSRC1 and CELSR2 in liver cells were significantly associated with both LDL-C and CAD (P < 5.0 × 10-8). Higher expression levels of SORT1, PSRC1 and CELSR2 in the liver were significantly associated with lower circulating LDL-C level (beta= -0.142, -0.138 and -0.171, respectively) and CAD risk (beta= -0.10, -0.097 and -0.121, respectively). Expression levels of 31 genes in blood cells associated with LDL-C level were found. Expressions of PSRC1, IL6R, GGCX, VAMP8, LIPA, NT5C2, SWAP70, EIF2B2, FURIN, FES and ATP5G1 in blood cells were significantly associated with CAD. Higher circulating granulins and apolipoprotein B levels, which were strongly affected by PSRC1 and APOB variants, were significantly associated with higher LDL-C level (beta = 0.22 and 1.35) and CAD risk, with odds ratios of 1.15 (1.10-1.19) and 1.45 (1.21-1.74), respectively. Conclusions: This study identified gene expressions in liver and blood cells and circulating granulins and apolipoprotein B that were genetically associated with LDL-C and CAD and provided evidence for exploring the potential causal relationship.

scholarly journals Association Between Genetic Variation in Blood Pressure and Increased Lifetime Risk of Peripheral Artery Disease

2021 ◽  
Author(s):  
Michael G. Levin ◽  
Derek Klarin ◽  
Venexia M. Walker ◽  
Dipender Gill ◽  
Julie Lynch ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Peripheral Artery Disease ◽  
Pulse Pressure ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Peripheral Artery ◽  
Increased Risk ◽  
Artery Disease

Objective: We aimed to estimate the effect of blood pressure (BP) traits and BP-lowering medications (via genetic proxies) on peripheral artery disease. Approach and Results: Genome-wide association studies summary statistics were obtained for BP, peripheral artery disease (PAD), and coronary artery disease. Causal effects of BP on PAD were estimated by 2-sample Mendelian randomization using a range of pleiotropy-robust methods. Increased systolic BP (SBP), diastolic BP, mean arterial pressure (MAP), and pulse pressure each significantly increased risk of PAD (SBP odds ratio [OR], 1.20 [1.16–1.25] per 10 mm Hg increase, P =1×10 −24 ; diastolic BP OR, 1.27 [1.18–1.35], P =4×10 − 11 ; MAP OR, 1.26 [1.19–1.33], P =6×10 − 16 ; pulse pressure OR, 1.31 [1.24–1.39], P =9×10 − 23 ). The effects of SBP, diastolic BP, and MAP were greater for coronary artery disease than PAD (SBP ratio of Ors, 1.06 [1.0–1.12], P = 0.04; MAP ratio of OR, 1.15 [1.06–1.26], P =8.6×10 − 4 ; diastolic BP ratio of OR, 1.21 [1.08–1.35], P =6.9×10 − 4 ). Considered jointly, both pulse pressure and MAP directly increased risk of PAD (pulse pressure OR, 1.26 [1.17–1.35], P =3×10 − 10 ; MAP OR, 1.14 [1.06–1.23], P =2×10 − 4 ). The effects of antihypertensive medications were estimated using genetic instruments. SBP-lowering via β-blocker (OR, 0.74 per 10 mm Hg decrease in SBP [95% CI, 0.65–0.84]; P =5×10 − 6 ), loop diuretic (OR, 0.66 [0.48–0.91], P =0.01), and thiazide diuretic (OR, 0.57 [0.41–0.79], P =6×10 − 4 ) associated variants were protective of PAD. Conclusions: Higher BP is likely to cause PAD. BP-lowering through β blockers, loop diuretics, and thiazide diuretics (as proxied by genetic variants) was associated with decreased risk of PAD. Future study is needed to clarify the specific mechanisms by which BP influences PAD.

scholarly journals Variant at 9p21 rs1333049 is associated with age of onset of coronary artery disease in a Western Indian population: a case control association study

2013 ◽  
Vol 95 (5) ◽  
pp. 138-145 ◽  
Author(s):  
APARNA A. BHANUSHALI ◽  
AASHISH CONTRACTOR ◽  
BIBHU R. DAS
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Indian Population ◽  
Risk Allele ◽  
Age Of Onset ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Age Group ◽  
Artery Disease ◽  
Cad Risk

SummaryThe 9p21 chromosomal region has been associated with coronary artery disease (CAD) in many genome wide association studies (GWAS). To date no information exists regarding the rs1333039 SNP which showed the strongest association in the WTCCC GWAS with CAD risk in the Indian population. The present study attempts to replicate the findings in the Indian population.Genotyping for rs1333049 was done in 229 cases and 151 controls by allele-specific real-time assay.A higher frequency of the risk allele rs1333049C was seen in cases (0·60) as compared with controls (0·49), which associated with CAD risk both in univariate (OR = 1·564, 95%CI = 1·154–2·119, P = 0·003) and multivariate analysis (OR = 2·460, 95%CI = 1·139–5·314, P = 0·022). Increased frequency of the risk allele was seen in younger individuals with CAD where 40% individuals in the age group 30–55 years had the CC genotype as compared with 29 and 24·5% in the age group 56–65 years and > 65 years, respectively (CC versus GG, P = 0·045). Higher incidence of the CC genotype was seen in MI patients, but missed significance when compared with controls (OR = 1·361, 95%CI = 0·954–1·942, P = 0·084).In conclusion, the rs1333049 variant is significantly associated with CAD risk and also with age of onset in the Western Indian population. However there are differences in the haplotype structure of this SNP with the neighbouring rs10757278 SNP, these differences emphasize the importance of genotyping all risk variants at this locus which could underlie the differences in risk susceptibility to CAD across populations.

Genetic Interactions Effects of Cardiovascular Disorder Using Computational Models: A Review

2020 ◽  
Vol 9 (3) ◽  
pp. 177-191
Author(s):  
Sridharan Priya ◽  
Radha K. Manavalan
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Cardiovascular Diseases ◽  
Computational Models ◽  
Genetic Interaction ◽  
Association Studies ◽  
Genetic Interactions ◽  
Computational Techniques ◽  
Genome Wide Association Studies ◽  
Artery Disease

Background: The diseases in the heart and blood vessels such as heart attack, Coronary Artery Disease, Myocardial Infarction (MI), High Blood Pressure, and Obesity, are generally referred to as Cardiovascular Diseases (CVD). The risk factors of CVD include gender, age, cholesterol/ LDL, family history, hypertension, smoking, and genetic and environmental factors. Genome- Wide Association Studies (GWAS) focus on identifying the genetic interactions and genetic architectures of CVD. Objective: Genetic interactions or Epistasis infer the interactions between two or more genes where one gene masks the traits of another gene and increases the susceptibility of CVD. To identify the Epistasis relationship through biological or laboratory methods needs an enormous workforce and more cost. Hence, this paper presents the review of various statistical and Machine learning approaches so far proposed to detect genetic interaction effects for the identification of various Cardiovascular diseases such as Coronary Artery Disease (CAD), MI, Hypertension, HDL and Lipid phenotypes data, and Body Mass Index dataset. Conclusion: This study reveals that various computational models identified the candidate genes such as AGT, PAI-1, ACE, PTPN22, MTHR, FAM107B, ZNF107, PON1, PON2, GTF2E1, ADGRB3, and FTO, which play a major role in genetic interactions for the causes of CVDs. The benefits, limitations, and issues of the various computational techniques for the evolution of epistasis responsible for cardiovascular diseases are exhibited.

scholarly journals Prevalence, Epidemiological Characteristics, and Pharmacotherapy of Coronary Artery Disease among Patients with Atrial Fibrillation: Data from Jo-Fib Study

Medicina ◽  
2021 ◽  
Vol 57 (6) ◽  
pp. 605
Author(s):  
Hanna K. Al-Makhamreh ◽  
Mohammed Q. Al-Sabbagh ◽  
Ala’ E. Shaban ◽  
Abdelrahman F. Obiedat ◽  
Ayman J. Hammoudeh
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Antiplatelet Agents ◽  
Retrospective Case ◽  
Increased Risk ◽  
Artery Disease ◽  
Epidemiological Characteristics ◽  
Cad Risk

Background and Objectives: Patients with AF are at increased risk for Coronary Artery Disease (CAD) owing to their shared etiologies and risk factors. This study aimed to assess the prevalence, cardiovascular risk factors, and used medications of CAD in AF patients. Materials and Methods: This retrospective, case-control study utilized data from the Jordanian Atrial Fibrillation (Jo-Fib) registry. Investigators collected clinical features, history of co-existing comorbidities, CHA2DS2-VASc, and HAS BLED scores for all AF patients aged >18 visiting 19 hospitals and 30 outpatient cardiology clinics. A multivariable binary logistic regression was used to asses for factors associated with higher odds of having CAD. Results: Out of 2000 patients with AF, 227 (11.35%) had CAD. Compared to the rest of the sample, those with CAD had significantly higher prevalence of hypertension (82.38%; p < 0.01), hypercholesterolemia (66.52%, p < 0.01), diabetes (56.83%, p < 0.01), and smoking (18.06%, p = 0.04). Patients with AF and CAD had higher use of anticoagulants/antiplatelet agents combination (p < 0.01) compared to the rest of the sample. Females had lower CAD risk than males (OR = 0.35, 95% CI: 0.24–0.50). AF Patients with dyslipidemia (OR = 2.5, 95% CI: 1.8–3.4), smoking (OR = 1.7, 95% CI: 1.1–2.6), higher CHA2DS2-VASc score (OR = 1.5, 95% CI: 1.4–1.7), and asymptomatic AF (OR = 1.9, 95% CI: 1.3–2.6) had higher risk for CAD. Conclusions: Owing to the increased prevalence of CAD in patients with AF, better control of cardiac risk factors is recommended for this special group. Future studies should investigate such interesting relationships to stratify CAD risk in AF patients. We believe that this study adds valuable information regarding the prevalence, epidemiological characteristics, and pharmacotherapy of CAD in patients with AF.

Abstract 12291: Contribution of Rare Mutations in Mendelian Hypercholesterolemia Genes to Risk for Premature Coronary Artery Disease in the Population

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Hong-Hee Won ◽  
Ron Do ◽  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Null Allele ◽  
Coronary Revascularization ◽  
Null Alleles ◽  
Premature Coronary Artery Disease ◽  
Rare Mutations ◽  
Increased Risk ◽  
Artery Disease ◽  
Cad Risk

Introduction: Low-density lipoprotein cholesterol (LDL-C) is a causal risk factor for coronary artery disease (CAD). Rare mutations in at least 6 genes lead to Mendelian forms of high or reduced LDL-C; three ( APOB, LDLR, PCSK9 ) act in a dominant pattern whereas three ( ABCG5, ABCG8, LDLRAP1 ) in a recessive pattern. We address to what extent rare mutations in Mendelian LDL-C genes contribute to early CAD risk in the population. Methods: We sequenced the exons of the 6 genes in 9,329 early CAD cases (myocardial infarction, angiographic CAD, or coronary revascularization in men≤50 and women≤60) and 10,245 controls from 9 studies using targeted and whole exome next-generation sequencing. We tested 3 sets: ‘Null alleles’ (nonsense, splice-site, or frameshift); ‘Deleterious (7/7)’ (null and missense annotated as damaging by 7 algorithms); and ‘Deleterious (6/7)’ (null and missense annotated as damaging by at least 6 algorithms). Given the rarity of deleterious mutations, we aggregated these mutations in each gene and tested for an excess or deficit in cases vs . controls. Results: Counts of mutations are provided in Table. Null mutations in LDLR , carried by 1:500 participants, confered a 8-fold increase in CAD risk (P=8х10 -7 ) whereas heterozygosity for a null mutation in ABCG5 (1:650 frequency) was associated with a 3-fold increased risk (P=5х10 -3 ). ‘Deleterious (7/7)’ mutations in LDLR , carried by 1:100 participants, confered a 4-fold increased risk (P=8х10 -17 ) whereas heterozygosity for a ‘Deleterious (7/7)’ mutation in ABCG5 (1:250 frequency) was associated with a 2-fold increased risk (P=2х10 -3 ). Heterozygous null allele carriers at LDLR and ABCG5 had increased LDL-C (P<0.001). Conclusions: Of early CAD cases, 2-3% carry a rare, deleterious mutation at LDLR or ABCG5 associated with increased risk. Although previously reported to cause recessive sitosterolemia, we find that heterozygosity for a null allele at ABCG5 is associated with markedly higher early CAD risk.

scholarly journals Association between Polymorphisms of Antioxidant Gene (MnSOD, CAT, and GPx1) and Risk of Coronary Artery Disease

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Hseng-Long Yeh ◽  
Li-Tang Kuo ◽  
Fung-Chang Sung ◽  
Chih-Ching Yeh
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Manganese Superoxide Dismutase ◽  
Medical Center ◽  
Stress Test ◽  
Genetic Effect ◽  
Multivariate Logistic Regression Model ◽  
Increased Risk ◽  
Artery Disease ◽  
Cad Risk

Objective. Reactive oxygen species (ROS) been cited as one of the major causes of atherosclerosis and coronary artery disease which are possible agents inducing DNA damage. Manganese superoxide dismutase (MnSOD), catalase (CAT), and glutathione peroxidase-1 (GPx1) have evolved to address primary defense against free radical mediated damage in mitochondria. The aim of this study was to delineate the association ofMnSOD,CAT, andGPx1polymorphisms and risk of CAD in Taiwan.Methods. We conducted a case-control study with 657 participants recruited at a medical center. All subjects were evaluated by noninvasive stress test and then quantitative coronary angiography to confirm the diagnosis of CAD. 447 CAD cases were defined as >50% stenosis of coronary artery and 210 controls were stenosed below 50%. Polymorphisms ofMnSOD(Val16Ala),CAT(C-262T), andGPx1(Pro198Leu) genes were determined by polymerase chain reaction methods. Multivariate logistic regression model was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs).Results. TheMnSODVal/Ala+Ala/Ala genotype was significantly associated with an increased risk of CAD compared to the Val/Val genotype (OR = 1.86, 95% CI = 1.15-3.01). This polymorphism was also associated with the severity of CAD of single and two vessel diseases. The corresponding ORs were 2.31 (95% CI = 1.32-4.03) and 1.92 (95% CI = 1.02-3.61), respectively. Among cigarette smokers, the harmful genetic effect ofMnSODAla allele on CAD risk was much higher (OR = 2.23, 95% CI = 1.02-4.88). However, the interaction betweenMnSODgenotype and cigarette smoking on CAD risk was not significant. No significant association betweenCATandGPx1polymorphisms and CAD risk was observed.Conclusion. Our results suggest thatMnSODpolymorphism is an independent risk factor for susceptibility to CAD in the Chinese population.

scholarly journals Genetic susceptibility of five tagSNPs in the endothelin-1 (EDN1) gene to coronary artery disease in a Chinese Han population

2018 ◽  
Vol 38 (5) ◽  
Author(s):  
Li-li Liang ◽  
Lin Chen ◽  
Meng-yuan Zhou ◽  
Meng-yun Cai ◽  
Jie Cheng ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Chinese Han Population ◽  
Chinese Han ◽  
Han Population ◽  
Endothelin 1 ◽  
Increased Risk ◽  
Artery Disease ◽  
Cad Risk

Endothelin-1 (ET-1) plays important roles in endothelial dysfunction, vascular physiology, inflammation, and atherosclerosis. Nonetheless, the role of ET-1 (EDN1) gene variants on coronary artery disease (CAD) risk remains poorly understood. The aim of the present study was to evaluate the role of EDN1 gene polymorphisms on individual susceptibility to CAD. We genotyped five tagSNPs (single-nucleotide polymorphisms) (rs6458155, rs4145451, rs9369217, rs3087459, and rs2070699) within EDN1 gene in 525 CAD patients and 675 control subjects. In a multivariate logistic regression analysis, we detected an association of rs6458155 in EDN1 gene with the CAD risk; compared with the TT homozygotes, the CT heterozygotes (odds ratio (OR) = 1.53, 95% confidence interval (CI) = 1.02–2.29, P=0.040) and the CC homozygotes (OR = 1.55, 95% CI = 1.01–2.36, P=0.043) were statistically significantly associated with the increased risk for CAD. A similar trend of the association was found in dominant model (OR = 1.53, 95% CI = 1.05–2.25, P=0.029). Consistently, the haplotype rs6458155C-rs4145451C containing rs6458155 C allele exhibited the increased CAD risk (OR = 1.22, 95% CI = 1.03–1.43, and P=0.018). In addition, CT genotype of rs6458155 conferred the increased plasma ET-1 levels compared with TT genotype (P<0.05). No association of the other four tagSNPs in EDN1 gene with CAD risk was observed. In conclusion, our study provides the first evidence that EDN1 tagSNP rs6458155 is associated with CAD risk in the Chinese Han population, which is probably due to the influence of the circulating ET-1 levels.

Sign in / Sign up

Export Citation Format

Share Document