scholarly journals Coagulation Factors and the Risk of Ischemic Heart Disease

Author(s):  
Jie V. Zhao ◽  
C. Mary Schooling

Background: Coagulation plays a role in ischemic heart disease (IHD). However, which coagulation factors are targets of intervention is unclear. We assessed how genetically predicted vWF (von Willebrand factor), ETP (endogenous thrombin potential), FVIII (factor VIII), d -dimer, tPA (tissue-type plasminogen activator), and PAI (plasminogen activator inhibitor)-1 affected IHD. We similarly estimated effects on lipids to determine whether any associations were independent of lipids. Methods and Results: Separate sample instrumental variable analysis with genetic instruments, that is, Mendelian randomization, was used to obtain unconfounded estimates of effects on IHD using extensively genotyped studies of coronary artery disease/myocardial infarction, CARDIoGRAMplusC4D Metabochip (64 374 cases, 130 681 controls) and CARDIoGRAMplusC4D 1000 Genomes (60 801 cases, 123 504 controls), and on lipids using the Global Lipids Genetics Consortium Results (n=196 475). Genetically predicted ETP was positively associated with IHD (odds ratio, 1.05 per log-transformed SD; 95% confidence interval, 1.03–1.07) based on 15 single-nucleotide polymorphisms, as were vWF (odds ratio, 1.05 per SD; 95% confidence interval, 1.02–1.08) and FVIII (odds ratio, 1.06 per SD; 95% confidence interval, 1.03–1.09) based on 16 and 6 single-nucleotide polymorphisms, respectively, but the latter associations were null after considering pleiotropy. vWF and FVIII were associated with higher LDL (low-density lipoprotein) cholesterol, but not after considering pleiotropy. Genetically predicted d -dimer, tPA, and PAI-1 were not clearly associated with IHD or lipids based on 3, 3, and 5 single-nucleotide polymorphisms, respectively. Conclusions: ETP may affect IHD. Assessing the role of its drivers in more precisely phenotyped studies of IHD could be worthwhile.

Kardiologiia ◽  
2015 ◽  
Vol 11_2015 ◽  
pp. 12-15 ◽  
Author(s):  
A.V. Balatsky Balatsky ◽  
D.Yu. Konovalov Konovalov ◽  
L.M. Samokhodskaya Samokhodskaya ◽  
T.N. Kochegura Kochegura ◽  
K.A. Rubina Rubina ◽  
...  

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Museung Park ◽  
Yong-Jun Cho ◽  
Jin Sue Jeon

Abstract INTRODUCTION Genome-wide association studies have revealed an association between SRY (Sex Determining Region Y)-box 17 (SOX17) gene and intracranial aneurysm (IA) formation. However, results were mainly derived from European and Japanese populations. We investigated the association between SOX17 gene polymorphisms and IA in a homogeneous Korean population. We performed a meta-analysis to assess these results in East-Asian populations. METHODS This cross-sectional study included 187 age- and sex-matched patients with IA and 372 control subjects. Genetic association analysis was performed in the generalized linear model to identify associations between 4 single nucleotide polymorphisms and IA, including 95 patients with ruptured aneurysms and 92 with unruptured aneurysms. The East-Asian meta-analysis of 5100 IA cases and 7930 control cases was conducted under an inverse variance model. RESULTS Among 4 single nucleotide polymorphisms that passed quality control tests, the minor C allele of rs1072737 was significantly associated with IA (odds ratio 0.69, 95% confidence interval 0.49-0.96, P = .03). None of the 4 single nucleotide polymorphisms showed a significant association between patients with ruptured and unruptured aneurysms. Meta-analysis revealed that G alleles of rs10958409 and rs9298506 were significantly associated with IA in the East-Asian population after removing study heterogeneity (odds ratio 1.11, 95% confidence interval 1.04-1.19, P = .0023 and odds ratio 1.19, 95% confidence interval 1.07-1.32, P = .0016). CONCLUSION Identification of genetic variants located near SOX17 is likely to be clinically significant for IA formation. rs10958409 and rs9298506 may increase risk of IA in East-Asian populations. Our findings may help in the identification of IA pathogenesis.


2021 ◽  
Author(s):  
De Zhao Kong ◽  
Lu Gao ◽  
Hang Li ◽  
Yu Wang ◽  
Miao Miao Wang ◽  
...  

Abstract Background: Depression and coronary heart disease (CHD) have common risk mechanisms. Common single nucleotide polymorphisms (SNPs) may be associated with the risk of depression combined with coronary heart disease. Methods: This protocol was designed according to the PRISMA-P guidelines. CENTRAL in the Cochrane Library, MEDLINE Ovid, Embase Ovid, Web of Science, CNKI, CQVIP, SinoMed, Wanfang Data, and ChiCTR will be systematically searched. We will include case-control studies and cohort studies investigating the relationship between gene SNPs and depression and coronary heart disease comorbidities. The Newcastle-Ottawa Scale (NOS) will be used to assess the risk of bias. When measuring dichotomous outcomes, we will use the risk ratio (RR) and 95% confidence interval (95%CIs) in a cohort study and use the odds ratio (OR) and 95% confidence interval (95%CIs) in a case-control study. Five genetic models (allele model, homozygous model, heterozygous model, dominant model, and recessive model) will be evaluated for each included study. Subgroup analysis by ethnicity will be performed. If necessary, post hoc analysis will be made according to different types.Discussion: The purpose of this meta-analysis is to comprehensively study the current evidence and assess the association between single nucleotide polymorphisms and susceptibility of depression in combination with coronary heart disease.Systematic review registration: This protocol was prospectively registered in the PROSPERO (registration number CRD42021229371).


Author(s):  
George Hindy ◽  
Frans Wiberg ◽  
Peter Almgren ◽  
Olle Melander ◽  
Marju Orho-Melander

Background: Coronary heart disease (CHD) is a multifactorial disease with both genetic and environmental components. Smoking is the most important modifiable risk factor for CHD. Our aim was to test whether the increased CHD incidence by smoking is modified by genetic predisposition to CHD. Methods and Results: Our study included 24 443 individuals from the MDCS (Malmö Diet and Cancer Study). A weighted polygenic risk score (PRS) was created by summing the number of risk alleles for 50 single-nucleotide polymorphisms associated with CHD. Individuals were classified as current, former, or never smokers. Interactions were primarily tested between smoking status and PRS and secondarily with individual single-nucleotide polymorphisms. Then, the predictive use of PRS for CHD incidence was tested among different smoking categories. During a median follow-up time of 19.4 years, 3217 incident CHD cases were recorded. The association between smoking and CHD was modified by the PRS ( P interaction =0.005). The magnitude of increased incidence of CHD by smoking was highest among individuals in the lowest tertile of PRS (odds ratio, 1.42; 95% confidence interval, 1.29–1.56 per smoking risk category) compared with the highest tertile (odds ratio, 1.20; 95% confidence interval, 1.11–1.30 per smoking risk category). This interaction was stronger among men ( P interaction =0.001) compared with women ( P interaction =0.44). The PRS provided a significantly better net reclassification and discrimination on top of traditional risk factors among never smokers compared with current smokers ( P <0.001). Conclusions: Genetic predisposition to CHD modifies the associated increased CHD risk by smoking. The PRS has a better predictive use among never smokers compared with smokers.


2020 ◽  
Vol 105 (8) ◽  
pp. e2778-e2788
Author(s):  
Jack C M Ng ◽  
C Mary Schooling

Abstract Context Glucagon acts reciprocally with insulin to regular blood glucose. However, the effect of glucagon on cardiovascular disease has not been widely studied. It has been suggested that insulin may increase the risk of ischemic heart disease. Objective To investigate whether glucagon, the main counteracting hormone of insulin, plays a role in development of ischemic heart disease. Design, Setting, and Participants In this 2-sample Mendelian randomization study, we estimated the causal effect of glucagon on ischemic heart disease and its risk factors using the inverse-variance weighted method with multiplicative random effects and multiple sensitivity analyses. Genetic associations with glucagon and ischemic heart disease and its risk factors, including type 2 diabetes and fasting insulin, were obtained from publicly available genome-wide association studies. Main Outcome Measure Odds ratio for ischemic heart disease and its risk factors per 1 standard deviation change in genetically predicted glucagon. Results Twenty-four single-nucleotide polymorphisms strongly (P &lt; 5 × 10−6) and independently (r2 &lt; 0.05) predicting glucagon were obtained. Genetically predicted higher glucagon was associated with an increased risk of ischemic heart disease (inverse-variance weighted odds ratio, 1.03; 95% confidence interval, 1.0003-1.05) but not with type 2 diabetes (inverse-variance weighted odds ratio, 0.998, 95% confidence interval, 0.97-1.03), log-transformed fasting insulin (inverse-variance weighted beta, 0.002, 95% confidence interval, -0.01 to 0.01), other glycemic traits, blood pressure, reticulocyte, or lipids. Conclusion Glucagon might have an adverse impact on ischemic heart disease. Relevance of the underlying pathway to existing and potential interventions should be investigated.


Rheumatology ◽  
2018 ◽  
Vol 58 (5) ◽  
pp. 770-775 ◽  
Author(s):  
Jong Gyun Ahn ◽  
Yoonsun Bae ◽  
Dongjik Shin ◽  
Jiho Nam ◽  
Kyu Yeun Kim ◽  
...  

Abstract Objectives Kawasaki disease (KD) is an acute systemic vasculitis of unknown aetiology that affects infants and young children. Recent reports of elevated serum high mobility group box 1 (HMGB1) level during the acute phase of KD and its relationship to poor response to IVIG treatment suggest a possible association of HMGB1 polymorphisms with KD. We investigated the association between the polymorphisms of the HMGB1 gene, KD susceptibility, coronary artery lesions, and KD response to IVIG treatment. Methods Whole genome sequencing of the HMGB1 gene was performed to identify causative variants. Two tagging single nucleotide polymorphisms of the HMGB1 gene were selected using linkage disequilibrium analysis. The tagging single nucleotide polymorphisms were genotyped using the TaqMan Allelic Discrimination assay in a total of 468 subjects (265 KD patients and 203 controls). Results The HMGB1 single nucleotide polymorphisms were not associated with KD susceptibility. However, in KD patients, there was a significant association of rs1412125 with coronary artery lesions formation in the recessive model (GG vs AA + GA: odds ratio = 4.98, 95% CI = 1.69–14.66, P = 0.005). In addition, rs1412125 was associated with IVIG resistance in the recessive (GG vs AA + GA: odds ratio = 4.11, 95% CI = 1.38–12.23, P = 0.017) and allelic models (G vs A: odds ratio = 1.80, 95% CI = 1.06–3.06, P = 0.027). Conclusion The rs1412125 in HMGB1 might be a risk factor for the development of coronary artery lesions and IVIG resistance in KD patients.


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