Literature DB >> 27091178

Sex-Specific Genetic Variants are Associated With Coronary Endothelial Dysfunction.

Satoshi Yoshino1, Rebecca Cilluffo2, Megha Prasad2, Patricia J M Best2, Elizabeth J Atkinson3, Tatsuo Aoki4, Julie M Cunningham5, Mariza de Andrade3, Lilach O Lerman6, Amir Lerman7.   

Abstract

BACKGROUND: Endothelial dysfunction is an early stage of atherosclerosis. Single-nucleotide polymorphisms (SNPs) have been associated with vascular dysfunction, cardiac events, and coronary artery remodeling. We aimed to detect SNPs associated with endothelial dysfunction and determine whether these associations are sex specific. METHODS AND
RESULTS: Six hundred forty-three subjects without significant obstructive coronary artery disease underwent invasive coronary endothelial function assessment. We collected data from 1536 SNPs that had previously been associated with vasoreactivity, angiogenesis, inflammation, artery calcification, atherosclerotic risk factors, insulin resistance, hormone levels, blood coagulability, or with coronary heart disease. Coronary vascular reactivity was assessed by the percent change in coronary artery diameter ≤ -20% after an intracoronary bolus injection of acetylcholine on invasive coronary physiology study. SNPs significantly associated with coronary epicardial endothelial dysfunction were ADORA1, KCNQ1, and DNAJC4 in the whole cohort, LPA, MYBPH, ADORA3, and PON1 in women and KIF6 and NFKB1 in men (P<0.01).
CONCLUSIONS: We have identified several significant SNPs that are associated with an increased risk of coronary endothelial dysfunction. These associations appear to be sex specific and may explain gender-related differences in development of atherosclerosis.
© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

Entities:  

Keywords:  acetylcholine; coronary disease; endothelium; genetics

Mesh:

Year:  2016        PMID: 27091178      PMCID: PMC4859270          DOI: 10.1161/JAHA.115.002544

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Introduction

Coronary endothelial dysfunction (CED) is an early stage in the development of atherosclerosis and is an independent predictor of adverse cardiovascular outcomes.1, 2, 3, 4, 5 Sex has been identified as an independent factor contributing to cardiovascular disease morbidity and mortality and endothelial dysfunction, but the role of CED has not been fully explored.2, 6 Sex plays a role in the development of atherosclerosis, but sex‐specific genetic associations and the relationship with endothelial dysfunction have not been identified.7 Healthy women have been shown to have higher endothelium‐dependent dilation when compared to their male counterparts, and the presence of cardiovascular risk factors has been associated with sex‐specific effects on endothelium‐dependent dilation.8 The Women's Ischemic Syndrome Evaluation study also suggested that sex plays a role in development of atherosclerosis, reporting increased likelihood of diffuse plaque formation in women when compared to men who developed discrete coronary lesions.9 Moreover, men have been shown to have a greater atheroma burden with more eccentric atheroma and diffuse epicardial endothelial dysfunction than women, suggesting increased structural and functional epicardial abnormalities when compared to their female counterparts.10 The reason for this difference is not entirely understood, and may be affected by genetic variability among single‐nucleotide polymorphisms (SNPs) and their association with early atherosclerosis and CED.10 Genetic variations have been thought to play a role in the development of cardiovascular disease, and recent studies have focused on defining the genes that are responsible.11, 12, 13, 14 New loci associated with cardiovascular risk factors, subclinical indexes, and disease end points have provided important insights that shed light on biologic pathways that may be involved in the development of cardiovascular disease. These can plausibly be targeted for prevention and treatment in the future.6 Identification of genotypic predictors of disease may enhance our understanding of molecular mechanisms underlying CED and the development of atherosclerosis. While several studies have focused on determination of genetic associations with cardiovascular disease, few have focused on genetic and sex‐specific associations with endothelial dysfunction, a precursor of cardiovascular disease. We aimed to evaluate this genetic variability and determine the association of sex‐specific SNPs with epicardial CED.

Methods

Patient Population

The study was performed at Mayo Clinic in Rochester, Minnesota. The study protocol was approved by the Mayo Clinic Institutional Review Board. Informed consent was obtained from each patient. As described previously,15 cardiac catheterization and coronary microvascular function testing was performed on 643 patients enrolled between January 1993 and December 2010. The decision to pursue cardiac catheterization and invasive coronary physiology testing was made by the referring cardiologist. Patients presented with chest pain and had clinical indication for routine coronary angiography to rule out underlying coronary artery disease. All patients enrolled in the study had no evidence of obstruction of coronary arteries on coronary angiography. They then underwent a coronary physiology study to evaluate for coronary microvascular dysfunction. All patients who met criteria to undergo a coronary physiology study were included in the study. Exclusion criteria included unstable angina pectoris, history of uncontrolled systemic hypertension that requires long‐term therapy, valvular heart disease, left ventricular ejection fraction <40%, and/or significant endocrine disorders including diabetes, hepatic, renal, or inflammatory disease.

Study Protocol

Vasoactive medications were discontinued for at least 36 hours prior to catheterization. Eating, drinking, or tobacco use was discontinued for at least 12 hours prior to the procedure.15, 16, 17, 18, 19, 20, 21, 22 Diagnostic coronary angiography was performed with a 6F or 7F guiding catheter using a standard femoral percutaneous approach. Nonionic contrast material was used. No nitroglycerin was given prior to the diagnostic procedure. Unfractionated intravenous heparin was administered for an activated clotting time of ≈250 s. Coronary vascular reactivity was studied using a 0.014‐inch Doppler tipped guidewire (FloWire: Volcano Corp, CA) in the left anterior descending coronary artery.15, 16, 17, 18, 19, 20, 21, 22 Intracoronary infusion of incremental doses of acetylcholine to a maximum tolerable dose (10−6, 10−5, and 10−4 mol/L at 1 mL/min at 3‐minute intervals) was given. Epicardial coronary artery endothelium‐dependent function was calculated as the percent increase in coronary artery diameter, (CAd) in response to acetylcholine. The cut‐off points were derived from the presence or absence of impaired epicardial endothelial function, defined as percent change in CAd (%CAd) to acetylcholine less than −20%.16, 20

Genomic Data and Blood Collection

As previously described,15, 23DNA was extracted from blood using the Mayo Clinic Biospecimens Accessioning and Processing facility. Pico Green analysis was run on all samples to assess quality. Samples were genotyped at the Mayo Genotyping Core facility using an Illumina custom GoldenGate panel (San Diego, CA).24 Per 96‐well plate, there were 85 unique samples, 5 duplicate DNA samples, and 6 quality control CEPH samples. The 1536 tag SNPs represented genes with previously identified associations with coronary vasoreactivity, angiogenesis, inflammation, artery calcification, atherosclerosis risk factors, insulin resistance, female hormones, blood coagulation system, or prevalence of coronary heart disease (CHD). Of these, 242 SNPs were excluded from the analysis due to minor allele frequencies <5%, Hardy Weinberg Equilibrium, P‐values <0.001, or SNP call rates <95% (ie, missing values for at least 5% of the subjects). The majority of SNPs failed because they were monomorphic or had a very low minor allele frequency. Genetic positions were listed in Build 36.

Statistic Methodology

All statistical analysis was performed using PLINK and SAS version 9.3 (SAS Institute Inc., Cary, NC).25 Categorical data were analyzed using the χ2 test and continuous variables were analyzed using two‐sample t test and summarized using mean±SD. Logistic regression was run using the end point of %CAd response to acetylcholine < −20 to test for genetic differences after adjusting for age, sex, diabetes, smoking status, and body mass index, assuming a log‐additive genetic model. Models were run testing for an interaction between sex and each SNP to determine sex‐specific associations.

Results

Baseline Characteristics

Overall, median age was 49.7±11.4 years. Median age of women was 51.4±10.9 years, while it was 46.6 years for men. The majority of patients were of European ancestry (93% white+5.6% unknown and presumed white). Baseline characteristics are summarized in Table 1. Of women enrolled, 58% were postmenopausal. While only 8% of the population had diabetes, hypertension was present in 41%, dyslipidemia in 55%, and 13% were current smokers. Aspirin was used by 50%, 37% used calcium channel blockers, and 39% used lipid lowering drugs. Of women, 27% were using hormone replacement therapy.
Table 1

Patient Characteristics

AllWomenMen P Value
n=643n=426n=217
Age, y49.7 (11.4)51.4 (10.9)46.6 (11.7)<0.001
Body mass index, kg/m2 29.1 (6.2)29.2 (6.8)28.9 (4.7)0.63
Postmenopausal243 (58%)243 (58%)— (—)
% change CAd (Ach)−15.1 (21.2)−13.6 (20.3)−17.9 (22.7)0.015
Risk factor
Diabetes mellitus52 (8%)28 (7%)24 (11%)0.049
Hypertension264 (41%)166 (39%)98 (45%)0.13
Dyslipidemia353 (55%)218 (52%)135 (62%)0.010
Family history409 (65%)271 (65%)138 (66%)0.77
Lipoprotein A24.0 (31.0)23.7 (30.5)24.6 (32.3)0.76
hsCRP, mg/dL2.7 (24.0)3.4 (29.5)1.4 (3.5)0.37
Homocysteine, μmol/L8.0 (4.4)7.8 (5.0)8.4 (2.9)0.12
Smoking<0.001
Never326 (51%)242 (57%)84 (39%)
Former232 (36%)146 (34%)86 (40%)
Current83 (13%)37 (9%)46 (21%)
Drugs
Aspirin326 (51%)206 (48%)120 (55%)0.010
Calcium channel blockers239 (37%)150 (35%)89 (41%)0.12
Angiotensin‐converting enzyme inhibitor/angiotensin II receptor blocker104 (16%)62 (15%)42 (19%)0.12
β‐Blocker186 (29%)128 (30%)58 (27%)0.38
Diuretics106 (16%)85 (20%)21 (10%)<0.001
Lipid‐lowering drugs248 (39%)151 (35%)97 (45%)0.020
Estrogen replacement therapy117 (27%)117 (27%)— (—)

Values are given as n (%) or mean (SD). P‐value shows women vs men. Ach, acetylcholine; CAd, coronary artery diameter; hsCRP, high‐sensitivity C‐reactive protein.

Patient Characteristics Values are given as n (%) or mean (SD). P‐value shows women vs men. Ach, acetylcholine; CAd, coronary artery diameter; hsCRP, high‐sensitivity C‐reactive protein.

Coronary Epicardial Endothelial Dysfunction

The %CAd induced by acetylcholine was lower in men than in women (Table 1). Diabetes and smoking were significantly higher in patients with abnormal endothelial function when compared to patients with normal endothelial function. Medication was similar between men and women.

Coronary Epicardial Endothelial Dysfunction and SNP Analysis

We identified several SNPs associated with epicardial endothelial dysfunction (Figure). In women (Table 2), rs12038000 was associated with the adenosine A3 receptor gene (ADORA3), rs16851008 with ADORA1, and k1_201395343 and rs16851020 with both ADORA1 and with myosin binding protein H gene (MYBPH). Moreover, rs7767084, rs9365171, rs3798221, rs9364564, rs7453899, rs35600881, rs13202636, and rs1321195 were all associated with LPA, and rs2237583 is associated with paraoxonase 1 gene (PON1). These SNPs were associated with an increased risk of abnormal %CAd induced by acetylcholine (P<0.01).
Figure 1

Macrovascular significant SNPs: P values (minus log‐transformed) are shown in a signal intensity (Manhattan) plot relative to their genomic position in macrovascular endothelial function. Each SNP is plotted with respect to its chromosomal location (x axis) and its P value (y axis on the left). The minimum y axis marks the threshold for significance (P=0.01). SNP indicates single‐nucleotide polymorphism.

Table 2

SNPs Associated With Macrovascular/Epicardial Endothelial Dysfunction Significant Only Among Females

Chr.Significant SNP in FemalesPositionGene RegionRisk Allele X/YOverall Allele X FrequencyOR Overall P Value OverallOR Men P Value MenOR Women P Value Women P Value SNP×Sex
1rs12038000111859362 ADORA3 A/G0.611.300.03570.930.73071.540.0057a 0.0708
1rs16851008201387919 ADORA1 G/A0.871.330.10660.790.39101.930.0077a 0.0354
1k1_201395343201395343 ADORA1/MYBPH A/G0.871.280.15490.730.25381.940.0083a 0.0254
1rs16851020201400275 MYBPH/ADORA1 C/A0.871.290.15020.700.21321.960.0070a 0.0182
6rs7767084a 160882493a LPA a G/A0.161.320.07800.710.24831.730.0039a 0.0075a
6rs9365171160901726 LPA A/C0.351.370.01180.990.96911.650.0016a 0.0571
6rs3798221a 160918138a LPA a T/G0.191.580.00230.800.42442.080.00004a 0.0061a
6rs9364564a 160919030a LPA a A/G0.181.500.01340.770.38542.000.0004a 0.0097a
6rs7453899160930756 LPA T/A0.351.350.01671.001.00001.600.0029a 0.0848
6rs35600881160946754 LPA A/G0.231.500.00460.950.84811.790.0006a 0.0487
6rs13202636160949718 LPA G/A0.231.490.00530.950.84811.780.0007a 0.0520
6rs1321195161004146 LPA T/C0.131.480.02560.800.48771.900.0019a 0.0267
7rs2237583a 94788113a PON1 a G/A0.701.150.30020.700.08981.630.0068a 0.0030a

OR indicates odds ratio; SNPs, single‐nucleotide polymorphisms.

SNPs both significant in sex and SNP×Sex.

Macrovascular significant SNPs: P values (minus log‐transformed) are shown in a signal intensity (Manhattan) plot relative to their genomic position in macrovascular endothelial function. Each SNP is plotted with respect to its chromosomal location (x axis) and its P value (y axis on the left). The minimum y axis marks the threshold for significance (P=0.01). SNP indicates single‐nucleotide polymorphism. SNPs Associated With Macrovascular/Epicardial Endothelial Dysfunction Significant Only Among Females OR indicates odds ratio; SNPs, single‐nucleotide polymorphisms. SNPs both significant in sex and SNP×Sex. In men (Table 3), we found that rs17511046 was associated with ADORA1, rs3774933 and rs1599961 were associated with nuclear factor of κ light polypeptide gene enhancer in B‐cell 1 gene (NF‐κB1), and rs20456 is associated with both LOC100124373 and KIF6. Also, k6_39474093 is associated with KIF6. These SNPs were associated with increased risk of abnormal coronary artery dilation indicating epicardial endothelial dysfunction (P<0.01). Only ADORA1 and NFKB1 SNPs showed significant differences between men and women. The strongest evidence for differences between men and women was seen in SNPs on LPA and PON1 (interaction P<0.01) (Table 3).
Table 3

SNPs Associated With Macrovascular/Epicardial Endothelial Dysfunction Significant Only Among Males

Chr.Significant SNP in MalesPositionGene RegionRisk Allele X/YOverall Allele X FrequencyOR Overall P Value OverallOR Men P Value MenOR Women P Value Women P Value SNP×Sex
1rs17511046a 201376668a ADORA1 a G/A0.931.170.50663.880.0068a 0.680.16090.0034a
4rs3774933a 103645369a NFKB1 a G/A0.391.060.63621.720.0085a 0.800.14720.0068a
4rs1599961a 103662599a NFKB1 a A/G0.391.060.63621.720.0085a 0.800.14720.0068a
6rs2045639432901 LOC100124373/KIF6 C/T0.431.310.02831.700.0069a 1.100.56010.0622
6k6_3947409339474093 KIF6 T/A0.061.950.00604.000.0047a 1.440.21880.0582

OR indicates, odds ratio; SNPs, single‐nucleotide polymorphisms.

SNPs both significant in sex and SNP×Sex.

SNPs Associated With Macrovascular/Epicardial Endothelial Dysfunction Significant Only Among Males OR indicates, odds ratio; SNPs, single‐nucleotide polymorphisms. SNPs both significant in sex and SNP×Sex. Comparison of SNPs was also made by stratifying patients into 3 groups: men, premenopausal women, and postmenopausal women, in order to assess the effect of menopause on these findings. We find that certain SNPs remain significantly associated with macrovascular endothelial dysfunction in premenopausal women, with others found to be significant in postmenopausal women (Tables 4 and 5). For example, rs12038000 was associated with the adenosine A3 receptor gene (ADORA3), rs16851008 with ADORA1, and k1_201395343 and rs16851020 with both ADORA1 and with myosin binding protein H gene (MYBPH) in postmenopausal women but not in premenopausal women (Tables S2 and S3). rs2237583 was significantly associated with PON1 in postmenopausal women but not premenopausal women, and rs7767084 was associated with LPA in premenopausal women but not in postmenopausal women. rs9365171, rs3798221, rs9364564, and rs7453899 were associated with LPA in both premenopausal women and postmenopausal women.
Table 4

Genes With Significant SNPs in Men for Macrovascular Endothelial Dysfunction

Gene With Associated Significant SNPs in MenSignificant SNPSNP×Sex Significant P Values
ADORA1 a rs17511046a 0.0034a
KIF6 a rs20456
k6_39474093
NFKB1 a rs3774933a 0.0068a
rs1599961a 0.0068a
LOC100124373 rs20456
ADORA1 a rs17511046a 0.0034a

SNPs indicates single‐nucleotide polymorphisms.

SNPs both significant in sex and SNP×Sex.

Table 5

Genes With Significant SNPs in Women for Macrovascular Endothelial Dysfunction

Gene With Associated Significant SNPs in WomenSignificant SNPSNP×Sex Significant P Values
ADORA1 rs16851008
k1_201395343
rs16851020
LPA rs7767084a 0.0075a
rs9365171
rs3798221a 0.0061a
rs9364564a 0.0097a
rs7453899
rs36500881
rs13202636
rs1321195
MYBPH k1_201395343
rs16851020
ADORA3 rs12038000

SNPs indicates single‐nucleotide polymorphisms.

SNPs both significant in sex and SNP×Sex.

Genes With Significant SNPs in Men for Macrovascular Endothelial Dysfunction SNPs indicates single‐nucleotide polymorphisms. SNPs both significant in sex and SNP×Sex. Genes With Significant SNPs in Women for Macrovascular Endothelial Dysfunction SNPs indicates single‐nucleotide polymorphisms. SNPs both significant in sex and SNP×Sex.

Discussion

The current study demonstrates sex‐specific differences in SNPs and overlap region in some genes associated with epicardial CED in humans. These observations may explain differences in the propensity for development of early atherosclerosis between men and women and may have potential sex‐specific therapeutic implications.

Genetic Associations in Women

In women, variations within ADORA3, ADORA1, MYBPH, LPA, and PON1 genes were associated with epicardial CED. This is a plausible association that plays a crucial role in vascular homeostasis, which may be regulated by sex hormones, especially estrogen.26 Estrogen contributes to regulation of vascular tone, modulates recruitment of circulating cells, effects platelet function, and plays a role in processes responsible for vascular repair.26 Gene variants in women modulate the function of estrogen, its receptors, and are implicated in aspects of cardiovascular inflammation, platelet function, and vascular repair.26, 27 Moreover, risk associated with LPA, PON1, and KCNQ1 variants affecting CED may be mediated through dysfunction in lipid metabolism. LPA risk alleles correlate with high plasma lipoprotein (a), which is associated with atherosclerotic vascular disease leading to CHD and may be thrombogenic.28 It inhibits fibrinolysis, accumulates in the vascular wall in atherosclerotic lesions, and may proliferate in human smooth muscle cells.28, 29 PON1 exerts anti‐atherogenic effects by protecting low‐density lipoproteins against oxidation, which has been implicated in oxidative stress and coronary spasm.29 Thus, PON1 is associated with ox‐low‐density lipoprotein, which is associated with CED.30 KCNQ1 SNPs are associated with type 2 diabetes mellitus via a reduction in insulin secretion and higher fasting glucose. This may affect lipid metabolism in patients with type 2 diabetes and CHD.31 Adenosine plays an important role in cardiac reperfusion response to ischemia.32 Variants in adenosine receptor genes including ADORA3 and ADORA1 may predict cardiac response to ischemia or injury.32 Upregulation of adenosine A3 receptors mRNA upon preconditioning is sex specific and depends on a woman's menstrual cycle.33 In this study, the gene region of A1 receptors was alike in both women and men. Our study suggests that sex‐specific SNPs on ADORA3 relate to epicardial CED and that ADORA1 polymorphisms play a sex‐specific role in endothelial function, depending on the variation of the SNP. Myosin binding protein H (MYPH) was also associated with epicardial CED in women. It is known that MYPH is expressed in ventricular Purkinje cells,34 but how MYBPH gene mediates coronary epicardial endothelial function has yet to be elucidated. While little is known about MYPH and its association with coronary epicardial endothelial function, awareness of various genetic polymorphisms associated with epicardial CED is important since further studies on these genes may implicate a mechanism explaining this association. Estrogen likely plays a significant role in explaining these findings and may partially explain the sex‐specific differences. Several genetic variations were noted in postmenopausal women but not premenopausal women. On the other hand, several genetic variations do not appear to be associated with menopausal status, and rather simply female sex. Additional investigation to further define the association with menopause is necessary.

Genetic Associations in Men

In men, genetic variations within ADORA1, NFKB1, LOC100124373, and KIF 6 genes are associated with epicardial CED. Gene variants related with the activity of nitric oxide synthase itself, angiogenesis, and inflammation modify CED in men in our study. These SNPs in men may mediate testosterone or its receptors and have adverse effects on cardiovascular morbidity and mortality.35 Nuclear factor‐κB denotes a family of transcription factors involved in both pro‐inflammatory and anti‐inflammatory processes in atherogenesis.36 Polymorphisms in NFKB1 promoter are associated with an increased risk of CHD and heart failure.36 Inflammatory mechanisms affect all phases of coronary artery disease. Errors in genes encoding inflammatory or anti‐inflammatory molecules are candidates for increasing risk of developing complications from coronary artery disease.36 There are sex‐specific variations in NF‐κB activity, which may play a role in development of CED and atherosclerosis.37, 38 It is important to note the overlap in gene regions between women and men in our study. We found overlap of gene region in ADORA1 and KIF6 without duplication of SNPs. The kinesin family member 6 gene encodes an intracellular protein, which transports cellular cargo and is expressed in coronary endothelial cells.39 The association between KIF6 polymorphism and increased risk of CHD in male patients has been previously described.40 Arg719 allele of KIF6 was associated with increased risk of CHD and myocardial infarction in populations of healthy women with low prevalence of CHD.40 KIF6 polymorphisms may be involved in interrupting intracellular transport in endothelial cells in women or men depending on the SNPs predisposing to development of CED and CHD.

Limitations

Our study has several inherent limitations. First, this is a cross‐sectional study in a unique patient population with early coronary atherosclerosis as defined by endothelial dysfunction. Further studies are needed to determine why a significant variant might have an effect in males and not in females with similar cardiovascular risk factors. While most SNPs that we identified as significantly associated with early coronary atherosclerosis characterized by CED lie within currently presumed noncoding intronic sequences, there are several potential mechanisms that could explain their association. These SNPs may be in linkage disequilibrium with promoter SNPs that have not yet been identified or that were not genotyped in this study.41 Furthermore, these intronic SNPs may have promoter functions that have not yet been identified, and intronic variants may potentially affect receptor function through alternative splicing mechanisms41 SNPs in the 5′ upstream region could play a significant role affecting gene transcription. Additionally, the number of tests performed is another limitation of the study. We have performed a large number of tests and it is possible that these results are significant purely by chance. Further studies are necessary to confirm these findings.

Conclusions

The current study reports for the first time the association between sex‐specific gene variants and physiological functional abnormalities related to early coronary atherosclerosis in humans characterized by epicardial endothelial dysfunction in coronary arteries. The study may help explain sex‐specific differences in development of coronary endothelial function and atherosclerosis.

Sources of Funding

This work was supported by the National Institutes of Health (NIH Grant HL‐92954 and AG‐31750 to A. Lerman) and P30CA15083 (Mayo Clinic Cancer Center) and CTSA Grant Number KL2 RR024151 to P. J. M. Best. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH. S. Yoshino was supported by Fukuda Foundation for Medical Technology, Japan.

Disclosures

None. Table S1. Patient Characteristics Table S2. SNPs Associated With Macrovascular/Epicardial Endothelial Dysfunction Significant Only Among Females Table S3. SNPs Associated With Macrovascular/Epicardial Endothelial Dysfunction Significant Only Among Males Click here for additional data file.
  42 in total

Review 1.  [Endothelial function as a marker of pre-clinical atherosclerosis: assessment techniques and clinical implications].

Authors:  Donatella Ruggiero; Stefania Paolillo; Giuseppe Della Ratta; Antonio Mariniello; Tiziana Formisano; Angela Maria Pellegrino; Pasquale Perrone Filardi
Journal:  Monaldi Arch Chest Dis       Date:  2013-09

2.  Implications for reproductive medicine: Sex differences in cardiovascular disease.

Authors:  Virginia M Miller; Patricia J M Best
Journal:  Sex Reprod Menopause       Date:  2011-08

Review 3.  Coronary microvascular dysfunction in the clinical setting: from mystery to reality.

Authors:  Joerg Herrmann; Juan Carlos Kaski; Amir Lerman
Journal:  Eur Heart J       Date:  2012-08-22       Impact factor: 29.983

4.  Polymorphisms in adenosine receptor genes are associated with infarct size in patients with ischemic cardiomyopathy.

Authors:  Z Tang; M A Diamond; J-M Chen; T A Holly; R O Bonow; A Dasgupta; T Hyslop; A Purzycki; J Wagner; D M McNamara; T Kukulski; S Wos; E J Velazquez; K Ardlie; A M Feldman
Journal:  Clin Pharmacol Ther       Date:  2007-08-29       Impact factor: 6.875

5.  BeadArray technology: enabling an accurate, cost-effective approach to high-throughput genotyping.

Authors:  Arnold Oliphant; David L Barker; John R Stuelpnagel; Mark S Chee
Journal:  Biotechniques       Date:  2002-06       Impact factor: 1.993

6.  Epicardial vasomotor responses to acetylcholine are not predicted by coronary atherosclerosis as assessed by intracoronary ultrasound.

Authors:  R A Nishimura; A Lerman; J H Chesebro; D M Ilstrup; D O Hodge; S T Higano; D R Holmes; A J Tajik
Journal:  J Am Coll Cardiol       Date:  1995-07       Impact factor: 24.094

7.  The relationships between PON1 activity as well as oxLDL levels and coronary artery lesions in CHD patients with diabetes mellitus or impaired fasting glucose.

Authors:  Chengzhi Lu; Yun Gao; Hong Zhou; Haoming Tian
Journal:  Coron Artery Dis       Date:  2008-12       Impact factor: 1.439

8.  Apolipoprotein(a) genetic sequence variants associated with systemic atherosclerosis and coronary atherosclerotic burden but not with venous thromboembolism.

Authors:  Anna Helgadottir; Solveig Gretarsdottir; Gudmar Thorleifsson; Hilma Holm; Riyaz S Patel; Thorarinn Gudnason; Gregory T Jones; Andre M van Rij; Danny J Eapen; Annette F Baas; David-Alexandre Tregouet; Pierre-Emmanuel Morange; Joseph Emmerich; Bengt Lindblad; Anders Gottsäter; Lambertus A Kiemeny; Jes S Lindholt; Natzi Sakalihasan; Robert E Ferrell; David J Carey; James R Elmore; Philip S Tsao; Niels Grarup; Torben Jørgensen; Daniel R Witte; Torben Hansen; Oluf Pedersen; Roberto Pola; Eleonora Gaetani; Hulda B Magnadottir; Cisca Wijmenga; Gerard Tromp; Antti Ronkainen; Ynte M Ruigrok; Jan D Blankensteijn; Thomas Mueller; Philip S Wells; Javier Corral; Jose Manuel Soria; Juan Carlos Souto; John F Peden; Shapour Jalilzadeh; Bongani M Mayosi; Bernard Keavney; Rona J Strawbridge; Maria Sabater-Lleal; Karl Gertow; Damiano Baldassarre; Kristiina Nyyssönen; Rainer Rauramaa; Andries J Smit; Elmo Mannarino; Philippe Giral; Elena Tremoli; Ulf de Faire; Steve E Humphries; Anders Hamsten; Vilhelmina Haraldsdottir; Isleifur Olafsson; Magnus K Magnusson; Nilesh J Samani; Allan I Levey; Hugh S Markus; Konstantinos Kostulas; Martin Dichgans; Klaus Berger; Gregor Kuhlenbäumer; E Bernd Ringelstein; Monika Stoll; Udo Seedorf; Peter M Rothwell; Janet T Powell; Helena Kuivaniemi; Pall T Onundarson; Einar Valdimarsson; Stefan E Matthiasson; Daniel F Gudbjartsson; Guðmundur Thorgeirsson; Arshed A Quyyumi; Hugh Watkins; Martin Farrall; Unnur Thorsteinsdottir; Kari Stefansson
Journal:  J Am Coll Cardiol       Date:  2012-08-21       Impact factor: 24.094

9.  Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study.

Authors:  Cécile M Povel; Jolanda M A Boer; N Charlotte Onland-Moret; Martijn E T Dollé; Edith J M Feskens; Yvonne T van der Schouw
Journal:  Cardiovasc Diabetol       Date:  2012-10-29       Impact factor: 9.951

10.  Genetic profiling for risk reduction in human cardiovascular disease.

Authors:  Megan J Puckelwartz; Elizabeth M McNally
Journal:  Genes (Basel)       Date:  2014-03-12       Impact factor: 4.096

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  12 in total

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Journal:  Biosci Rep       Date:  2019-04-17       Impact factor: 3.840

4.  Sex-Specific Genetic Variants are Associated With Coronary Endothelial Dysfunction.

Authors:  Satoshi Yoshino; Rebecca Cilluffo; Megha Prasad; Patricia J M Best; Elizabeth J Atkinson; Tatsuo Aoki; Julie M Cunningham; Mariza de Andrade; Lilach O Lerman; Amir Lerman
Journal:  J Am Heart Assoc       Date:  2016-04-18       Impact factor: 5.501

5.  Associations of the MCM6-rs3754686 proxy for milk intake in Mediterranean and American populations with cardiovascular biomarkers, disease and mortality: Mendelian randomization.

Authors:  Caren E Smith; Oscar Coltell; Jose V Sorlí; Ramón Estruch; Miguel Ángel Martínez-González; Jordi Salas-Salvadó; Montserrat Fitó; Fernando Arós; Hassan S Dashti; Chao Q Lai; Leticia Miró; Lluís Serra-Majem; Enrique Gómez-Gracia; Miquel Fiol; Emilio Ros; Stella Aslibekyan; Bertha Hidalgo; Marian L Neuhouser; Chongzhi Di; Katherine L Tucker; Donna K Arnett; José M Ordovás; Dolores Corella
Journal:  Sci Rep       Date:  2016-09-14       Impact factor: 4.379

Review 6.  Genetic Regulation of Endothelial Vasomotor Function.

Authors:  Seung Kyum Kim; Michael P Massett
Journal:  Front Physiol       Date:  2016-11-25       Impact factor: 4.566

7.  Role of Gender and Physical Activity Level on Cardiovascular Risk Factors and Biomarkers of Oxidative Stress in the Elderly.

Authors:  Antoine Raberin; Philippe Connes; Jean-Claude Barthélémy; Pia Robert; Sébastien Celle; David Hupin; Camille Faes; Chantal Rytz; Frédéric Roche; Vincent Pialoux
Journal:  Oxid Med Cell Longev       Date:  2020-06-19       Impact factor: 6.543

8.  The Polymorphism in ADORA3 Decreases Transcriptional Activity and Influences the Chronic Heart Failure Risk in the Chinese.

Authors:  Hai-Rong He; Yuan-Jie Li; Gong-Hao He; Hua Qiang; Ya-Jing Zhai; Mao Ma; Ya-Jun Wang; Yan Wang; Xiao-Wei Zheng; Ya-Lin Dong; Jun Lyu
Journal:  Biomed Res Int       Date:  2018-05-31       Impact factor: 3.411

9.  Correlations between lipoprotein(a) gene polymorphisms and calcific aortic valve disease and coronary heart disease in Han Chinese.

Authors:  Hongzhi Dong; Hongliang Cong; Jing Wang; Yiyao Jiang; Chao Liu; Yingyi Zhang; Yanbo Zhu; Qingtong Wang
Journal:  J Int Med Res       Date:  2020-10       Impact factor: 1.671

10.  A genome-wide association meta-analysis on lipoprotein (a) concentrations adjusted for apolipoprotein (a) isoforms.

Authors:  Salome Mack; Stefan Coassin; Rico Rueedi; Noha A Yousri; Ilkka Seppälä; Christian Gieger; Sebastian Schönherr; Lukas Forer; Gertraud Erhart; Pedro Marques-Vidal; Janina S Ried; Gerard Waeber; Sven Bergmann; Doreen Dähnhardt; Andrea Stöckl; Olli T Raitakari; Mika Kähönen; Annette Peters; Thomas Meitinger; Konstantin Strauch; Ludmilla Kedenko; Bernhard Paulweber; Terho Lehtimäki; Steven C Hunt; Peter Vollenweider; Claudia Lamina; Florian Kronenberg
Journal:  J Lipid Res       Date:  2017-05-16       Impact factor: 5.922

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