Two loci on chromosomes 2 and X for premature coronary heart disease identified in early- and late-settlement populations of Finland

Genome-Wide Association Study of Beta-Blocker Survival Benefit in Black and White Patients with Heart Failure with Reduced Ejection Fraction

In patients with heart failure with reduced ejection fraction (HFrEF), individual responses to beta-blockers vary. Candidate gene pharmacogenetic studies yielded significant but inconsistent results, and they may have missed important associations. Our objective was to use an unbiased genome-wide association study (GWAS) to identify loci influencing beta-blocker survival benefit in HFrEF patients. Genetic variant × beta-blocker exposure interactions were tested in Cox proportional hazards models for all-cause mortality stratified by self-identified race. The models were adjusted for clinical risk factors and propensity scores. A prospective HFrEF registry (469 black and 459 white patients) was used for discovery, and linkage disequilibrium (LD) clumped variants with a beta-blocker interaction of p < 5 × 10-5, were tested for Bonferroni-corrected validation in a multicenter HFrEF clinical trial (288 black and 579 white patients). A total of 229 and 18 variants in black and white HFrEF patients, respectively, had interactions with beta-blocker exposure at p < 5 × 10-5 upon discovery. After LD-clumping, 100 variants and 4 variants in the black and white patients, respectively, remained for validation but none reached statistical significance. In conclusion, genetic variants of potential interest were identified in a discovery-based GWAS of beta-blocker survival benefit in HFrEF patients, but none were validated in an independent dataset. Larger cohorts or alternative approaches, such as polygenic scores, are needed.

Etiologic Puzzle of Coronary Artery Disease: How Important Is Genetic Component?

In the modern era, coronary artery disease (CAD) has become the most common form of heart disease and, due to the severity of its clinical manifestations and its acute complications, is a major cause of morbidity and mortality worldwide. The phenotypic variability of CAD is correlated with the complex etiology, multifactorial (caused by the interaction of genetic and environmental factors) but also monogenic. The purpose of this review is to present the genetic factors involved in the etiology of CAD and their relationship to the pathogenic mechanisms of the disease. Method: we analyzed data from the literature, starting with candidate gene-based association studies, then continuing with extensive association studies such as Genome-Wide Association Studies (GWAS) and Whole Exome Sequencing (WES). The results of these studies revealed that the number of genetic factors involved in CAD etiology is impressive. The identification of new genetic factors through GWASs offers new perspectives on understanding the complex pathophysiological mechanisms that determine CAD. In conclusion, deciphering the genetic architecture of CAD by extended genomic analysis (GWAS/WES) will establish new therapeutic targets and lead to the development of new treatments. The identification of individuals at high risk for CAD using polygenic risk scores (PRS) will allow early prophylactic measures and personalized therapy to improve their prognosis.

Genetic and Environmental Dispositions for Cardiovascular Variability: A Pilot Study

BACKGROUND

The aim of our study was to evaluate the degree of genetic homozygosity in the group of patients with coronary artery disease (CAD), as well as to evaluate morphogenetic variability in CAD patients regarding the presence of investigated risk factors (RF) compared to a control sample of individuals. Additionally, we aimed to evaluate the distribution of ABO blood type frequencies between tested samples of individuals.

METHODS

This study analyzed individual phenotype and morphogenetic variability of 17 homozygously-recessive characteristics (HRC), by using HRC test in a sample of 148 individuals in CAD patients group and 156 individuals in the control group. The following RF were analyzed: hypertension, diabetes mellitus, hyperlipidemia, and smoking.

RESULTS

The mean value of HRC in CAD patients is significantly higher, while variability decreases compared to the control sample (CAD patients: 4.24 ± 1.59, control sample: 3.75 ± 1.69; V_CAD-patients = 37.50%, V_C = 45.07%). There is a significant difference in individual variations of 17 HRC between control sample and CAD patients (χ² = 169.144; p < 0.01), which points out to different variability for tested genes. Mean values of HRC significantly differed in CAD patients in regard to the number of RF present. A blood type (OR = 1.75) is significant predictor for CAD, while O blood type (OR = 0.43) was significantly associated with controls.

CONCLUSION

There is a higher degree of recessive homozygosity in CAD patients versus individuals in the control sample, and the presence of significant variations in the degree of recessive homozygosity as the number of tested RF increases.

Metabolic Pathway Genes Associated with Susceptibility Genes to Coronary Artery Disease

Coronary artery disease (CAD) is one of the leading threats to global health. Previous research has proven that metabolic pathway disorders, such as high blood lipids and diabetes, are one of the risk factors that mostly cause CAD. However, the crosstalk between metabolic pathways and CAD was mostly studied on physiology processes by analyzing a single gene function. A canonical correlation analysis was used to identify the metabolic pathways, which were integrated as a unit to coexpress with CAD susceptibility genes, and to resolve additional metabolic factors that are related to CAD. Seven pathways, including citrate cycle, ubiquinone, terpenoid quinone biosynthesis, and N-glycan biosynthesis, were identified as an integrated unit coexpressed with CAD genes. These pathways could not be revealed as a coexpressed pathway through traditional methods as each single gene has weak correlation. Furthermore, sets of genes in these pathways were candidate markers for diagnosis and detection from patients' serum.

Genome-wide association study of coronary artery calcified atherosclerotic plaque in African Americans with type 2 diabetes

Background

Coronary artery calcified atherosclerotic plaque (CAC) predicts cardiovascular disease (CVD). Despite exposure to more severe conventional CVD risk factors, African Americans (AAs) are less likely to develop CAC, and when they do, have markedly lower levels than European Americans. Genetic factors likely contribute to the observed ethnic differences. To identify genes associated with CAC in AAs with type 2 diabetes (T2D), a genome-wide association study (GWAS) was performed using the Illumina 5 M chip in 691 African American-Diabetes Heart Study participants (AA-DHS), with replication in 205 Jackson Heart Study (JHS) participants with T2D. Genetic association tests were performed on the genotyped and 1000 Genomes-imputed markers separately for each study, and combined in a meta-analysis.

Results

Single nucleotide polymorphisms (SNPs), rs11353135 (2q22.1), rs16879003 (6p22.3), rs5014012, rs58071836 and rs10244825 (all on chromosome 7), rs10918777 (9q31.2), rs13331874 (16p13.3) and rs4459623 (18q12.1) were associated with presence and/or quantity of CAC in the AA-DHS and JHS, with meta-analysis p-values ≤8.0 × 10⁻⁷. The strongest result in AA-DHS alone was rs6491315 in the 13q32.1 region (parameter estimate (SE) = −1.14 (0.20); p-value = 9.1 × 10⁻⁹). This GWAS peak replicated a previously reported AA-DHS CAC admixture signal (rs7492028, LOD score 2.8).

Conclusions

Genetic association between SNPs on chromosomes 2, 6, 7, 9, 16 and 18 and CAC were detected in AAs with T2D from AA-DHS and replicated in the JHS. These data support a role for genetic variation on these chromosomes as contributors to CAC in AAs with T2D, as well as to variation in CAC between populations of African and European ancestry.

Electronic supplementary material

The online version of this article (10.1186/s12863-017-0572-9) contains supplementary material, which is available to authorized users.

Genome-Wide Linkage Analysis of Large Multiple Multigenerational Families Identifies Novel Genetic Loci for Coronary Artery Disease

Coronary artery disease (CAD) is the leading cause of death, and genetic factors contribute significantly to risk of CAD. This study aims to identify new CAD genetic loci through a large-scale linkage analysis of 24 large and multigenerational families with 433 family members (GeneQuest II). All family members were genotyped with markers spaced by every 10 cM and a model-free nonparametric linkage (NPL-all) analysis was carried out. Two highly significant CAD loci were identified on chromosome 17q21.2 (NPL score of 6.20) and 7p22.2 (NPL score of 5.19). We also identified four loci with significant NPL scores between 4.09 and 4.99 on 2q33.3, 3q29, 5q13.2 and 9q22.33. Similar analyses in individual families confirmed the six significant CAD loci and identified seven new highly significant linkages on 9p24.2, 9q34.2, 12q13.13, 15q26.1, 17q22, 20p12.3, and 22q12.1, and two significant loci on 2q11.2 and 11q14.1. Two loci on 3q29 and 9q22.33 were also successfully replicated in our previous linkage analysis of 428 nuclear families. Moreover, two published risk variants, SNP rs46522 in UBE2Z and SNP rs6725887 in WDR12 by GWAS, were found within the 17q21.2 and 2q33.3 loci. These studies lay a foundation for future identification of causative variants and genes for CAD.

Distinctive Clinical Profile of Blacks Versus Whites Presenting With Sudden Cardiac Arrest

BACKGROUND

Sudden cardiac arrest (SCA) is a major contributor to mortality, but data are limited among nonwhites. Identification of differences in clinical profile based on race may provide opportunities for improved SCA prevention.

METHODS AND RESULTS

In the ongoing Oregon Sudden Unexpected Death Study (SUDS), individuals experiencing SCA in the Portland, OR, metropolitan area were identified prospectively. Patient demographics, arrest circumstances, and pre-SCA clinical profile were compared by race among cases from 2002 to 2012 (for clinical history, n=126 blacks, n=1262 whites). Incidence rates were calculated for cases from the burden assessment phase (2002-2005; n=1077). Age-adjusted rates were 2-fold higher among black men and women (175 and 90 per 100 000, respectively) compared with white men and women (84 and 40 per 100 000, respectively). Compared with whites, blacks were >6 years younger at the time of SCA and had a higher prearrest prevalence of diabetes mellitus (52% versus 33%; P<0.0001), hypertension (77% versus 65%; P=0.006), and chronic renal insufficiency (34% versus 19%; P<0.0001). There were no racial differences in previously documented coronary artery disease or left ventricular dysfunction, but blacks had more prevalent congestive heart failure (43% versus 34%; P=0.04) and left ventricular hypertrophy (77% versus 58%; P=0.02) and a longer QTc interval (466±36 versus 453±41 milliseconds; P=0.03).

CONCLUSIONS

In this US community, the burden of SCA was significantly higher in blacks compared with whites. Blacks with SCA had a higher prearrest prevalence of risk factors beyond established coronary artery disease, providing potential targets for race-specific prevention.

Identification of a glutamic acid repeat polymorphism of ALMS1 as a novel genetic risk marker for early-onset myocardial infarction by genome-wide linkage analysis

BACKGROUND

Myocardial infarction (MI) is a leading cause of death worldwide. Given that a family history is an independent risk factor for coronary artery disease, genetic variants are thought to contribute directly to the development of this condition. The identification of susceptibility genes for coronary artery disease or MI may thus help to identify high-risk individuals and offer the opportunity for disease prevention.

METHODS AND RESULTS

We designed a 5-step protocol, consisting of a genome-wide linkage study followed by association analysis, to identify novel genetic variants that confer susceptibility to coronary artery disease or MI. A genome-wide affected sib-pair linkage study with 221 Japanese families with coronary artery disease yielded a statistically significant logarithm of the odds score of 3.44 for chromosome 2p13 and MI. Further association analysis implicated Alström syndrome 1 gene (ALMS1) as a candidate gene within the linkage region. Validation association analysis revealed that representative single-nucleotide polymorphisms of the ALMS1 promoter region were significantly associated with early-onset MI in both Japanese and Korean populations. Moreover, direct sequencing of the ALMS1 coding region identified a glutamic acid repeat polymorphism in exon 1, which was subsequently found to be associated with early-onset MI.

CONCLUSIONS

The glutamic acid repeat polymorphism of ALMS1 identified in the present study may provide insight into the pathogenesis of early-onset MI.

Integrative genomics in cardiovascular medicine

Integrative genomics studies have greatly advanced our understanding of cardiovascular pathophysiology over the last decade. Here, we highlight the strengths and challenges of this cutting-edge approach and provide examples where novel insights have arisen through the integration of multi-level genomic information and cardiac physiology. Going forward, the integration of comprehensive next-generation sequencing data sets with quantitative phenotypes at the molecular, cellular, and whole-heart level using advanced modelling approaches provides an unprecedented opportunity for cardiovascular science.

Identification of shared genetic susceptibility locus for coronary artery disease, type 2 diabetes and obesity: a meta-analysis of genome-wide studies

Type 2 diabetes (2DM), obesity, and coronary artery disease (CAD) are frequently coexisted being as key components of metabolic syndrome. Whether there is shared genetic background underlying these diseases remained unclear. We performed a meta-analysis of 35 genome screens for 2DM, 36 for obesity or body mass index (BMI)-defined obesity, and 21 for CAD using genome search meta-analysis (GSMA), which combines linkage results to identify regions with only weak evidence and provide genetic interactions among different diseases. For each study, 120 genomic bins of approximately 30 cM were defined and ranked according to the best linkage evidence within each bin. For each disease, bin 6.2 achieved genomic significanct evidence, and bin 9.3, 10.5, 16.3 reached suggestive level for 2DM. Bin 11.2 and 16.3, and bin 10.5 and 9.3, reached suggestive evidence for obesity and CAD respectively. In pooled all three diseases, bin 9.3 and 6.5 reached genomic significant and suggestive evidence respectively, being relatively much weaker for 2DM/CAD or 2DM/obesity or CAD/obesity. Further, genomewide significant evidence was observed of bin 16.3 and 4.5 for 2DM/obesity, which is decreased when CAD was added. These findings indicated that bin 9.3 and 6.5 are most likely to be shared by 2DM, obesity and CAD. And bin 16.3 and 4.5 are potentially common regions to 2DM and obesity only. The observed shared susceptibility regions imply a partly overlapping genetic aspects of disease development. Fine scanning of these regions will definitely identify more susceptibility genes and causal variants.

Do genetic variations alter the effects of exercise training on cardiovascular disease and can we identify the candidate variants now or in the future?

Cardiovascular disease (CVD) and CVD risk factors are highly heritable, and numerous lines of evidence indicate they have a strong genetic basis. While there is nothing known about the interactive effects of genetics and exercise training on CVD itself, there is at least some literature addressing their interactive effect on CVD risk factors. There is some evidence indicating that CVD risk factor responses to exercise training are also heritable and, thus, may have a genetic basis. While roughly 100 studies have reported significant effects of genetic variants on CVD risk factor responses to exercise training, no definitive conclusions can be generated at the present time, because of the lack of consistent and replicated results and the small sample sizes evident in most studies. There is some evidence supporting “possible” candidate genes that may affect these responses to exercise training: APO E and CETP for plasma lipoprotein-lipid profiles; eNOS, ACE, EDN1, and GNB3 for blood pressure; PPARG for type 2 diabetes phenotypes; and FTO and BAR genes for obesity-related phenotypes. However, while genotyping technologies and statistical methods are advancing rapidly, the primary limitation in this field is the need to generate what in terms of exercise intervention studies would be almost incomprehensible sample sizes. Most recent diabetes, obesity, and blood pressure genetic studies have utilized populations of 10,000–250,000 subjects, which result in the necessary statistical power to detect the magnitude of effects that would probably be expected for the impact of an individual gene on CVD risk factor responses to exercise training. Thus at this time it is difficult to see how this field will advance in the future to the point where robust, consistent, and replicated data are available to address these issues. However, the results of recent large-scale genomewide association studies for baseline CVD risk factors may drive future hypothesis-driven exercise training intervention studies in smaller populations addressing the impact of specific genetic variants on well-defined physiological phenotypes.

Genes, diet and public health

Common chronic diseases such as coronary heart disease (CHD), diabetes, cancer, hypertension and obesity are significantly influenced by dietary and other behavioural habits. There is increasing scientific evidence that genetic factors (SNPs), conferring either protection or risk, also contribute importantly to the incidence of these diseases. SNPs are of particular interest because they influence disease in a complex but largely unknown manner by interacting with environmental and lifestyle factors. Because genetic factors also affect a person's response to dietary habits, SNPs likely will be useful in helping to determine and understand why individuals differ in their response to diets. Therefore, the discovery of SNPs will likely revolutionize not only the diagnosis of disease but also the practice of preventative medicine. Other developments, like new biomarkers and noninvasive imaging techniques, might turn out to be highly sensitive and specific in order to identify patients at risk, especially in cases with asymptomatic coronary heart disease. Thus, further knowledge of such new risk factors and their interaction with nutrition, has the potential to provide a more precise and personalized approach to prevent and treat chronic diseases like coronary artery disease, myocardial infarction and stroke.

VAMP-8 gene variant is associated with increased risk of early myocardial infarction

INTRODUCTION

Single nucleotide polymorphism in the 3' untranslated region of the vesicle-associated membrane protein gene (VAMP-8) has been associated with increased risk of early-onset myocardial infarction (MI). In this study the risk of early onset MI conferred by VAMP-8 gene polymorphism was investigated in a group of 171 male subjects.

MATERIAL AND METHODS

Male patients with a history of MI who underwent coronary angiography were enrolled and divided into early (incident < 55 years of age) and late (incident ≥ 55 years of age) MI onset groups. Apart from the RFLP-PCR based analysis of the VAMP-8 variant, history of hypertension, lipid abnormalities, smoking and body mass index were recorded. In statistical analyses odds ratios and relative risk were used as a measure of genotype-MI association while logistic regression was implemented for evaluation of MI risk factor strength.

RESULTS

VAMP-8 A allele frequency proved to be significantly higher in the early-onset MI group and conferred higher relative risk of early MI in the investigated cohort, when calculated for the individual A allele (p = 0.029). In logistic regression analyses no association between risk genotypes and traditional risk factors was observed.

CONCLUSIONS

In this study VAMP-8 A variant was identified as a risk allele for early MI in male subjects.

Soluble CD40 ligand is elevated in type 1 diabetic nephropathy but not predictive of mortality, cardiovascular events or kidney function

Soluble CD40 ligand (sCD40L) derived from platelets mediates atherothrombosis, leading to proinflammatory and proatherosclerotic responses. We investigated the predictive value of plasma sCD40L for all-cause mortality, cardiovascular mortality and morbidity, progression towards end-stage renal disease (ESRD) and rate of decline in glomerular filtration rate (GFR) in patients with type 1 diabetes (T1DM) and nephropathy. The study was a prospective, observational follow-up study of 443 T1DM patients with diabetic nephropathy (274 men; age 42.1 ± 10.5 years [mean ± SD], duration of diabetes 28.3 ± 8.9 years, GFR 76 ± 33 ml/min/1.73 m2) and a control group of 421 patients with longstanding type 1 diabetes and persistent normoalbuminuria (232 men; age 45.4 ± 11.5 years, duration of diabetes 27.7 ± 10.1 years) at baseline. sCD40L was measured by ELISA. Plasma sCD40L levels were higher in patients with diabetic nephropathy compared to normoalbuminuric patients (median (range) 1.54 (0.02-13.38) vs. 1.30 (0.04-20.65) µg/L, respectively p = 0.004). The patients were followed for 8.1 (0.0-12.9) years (median (range)). Among normoalbuminuric patients, sCD40L levels did not predict all-cause mortality (p = 0.33) or combined fatal and non-fatal cardiovascular disease (CVD) (p = 0.27). Similarly, among patients with diabetic nephropathy, the covariate adjusted sCD40L levels did not predict all-cause mortality (p = 0.86) or risk of fatal and non-fatal CVD (p = 0.08). Furthermore, high levels of sCD40L did not predict development of ESRD (p = 0.85) nor rate of decline in GFR (p = 0.69). Plasma sCD40L is elevated in T1DM nephropathy but is not a predictor of all-cause mortality, cardiovascular mortality and morbidity or deterioration of kidney function

Cosegregation of aortic root atherosclerosis and intermediate lipid phenotypes on chromosomes 2 and 8 in an intercross of C57BL/6 and BALBc/ByJ low-density lipoprotein receptor-/- mice

OBJECTIVE

We sought to identify novel atherosclerosis-modifying loci and their potential functional links in a genome-wide approach using cosegregation analysis of atherosclerosis and related intermediate phenotypes in mice.

METHODS AND RESULTS

We carried out an F2 intercross between atherosclerosis-susceptible C57BL/6 mice and atherosclerosis-resistant BALB/cByJ mice on the low-density lipoprotein receptor(-/-) background to examine the genetic basis for their differences in atherosclerosis susceptibility. Atherosclerotic lesion size and a comprehensive panel of 61 atherosclerosis-related phenotypes, including plasma levels of lipids, cytokines, and chemokines were measured in 376 F2 mice. Quantitative trait locus mapping revealed a novel significant locus (logarithm of odds, 6.18) for atherosclerosis on proximal mouse chromosome (Chr) 2 (Ath39), which was associated with major variations in lesion size (14%). Plasma very-low-density lipoprotein-cholesterol, high-density lipoprotein-cholesterol, lanosterol, and phytosterol levels cosegregated with atherosclerosis at this locus. Moreover, these lipid traits showed significant correlations with lesion size, suggesting that they share the same underlying genetic factor. We also describe a second male-specific locus on Chr 8 (Ath40) where atherosclerosis and lipids cosegregated.

CONCLUSIONS

Our study revealed new loci for atherosclerosis susceptibility on mouse Chr 2 and 8, which might exert their effects on lesion size via plasma lipid levels.

Genomic approaches to coronary artery disease

Coronary artery disease (CAD) is a leading cause of death and disability worldwide. In addition to lifestyle and environmental factors which are major aetiologic determinants, there is considerable familial clustering of the disease indicating a genetic component in its causation. Although the total genetic contribution to CAD risk can be quantified, the determination of the size and number of contributing effects is impossible without identifying all CAD susceptibility genes. However, despite extensive studies, strong evidence of a molecular genetic association with coronary artery disease or myocardial infarction remains elusive. Genome wide association studies have been successful in identifying robust associations of single nucleotide polymorphisms (SNP) with CAD. Identifying the causal variant and dissecting pathways linking these variants to disease process is a major challenge. Technologies from whole genome sequencing, proteomics, transcriptomics and metabolomics are now available to extend analysis to a more complete range of potential susceptibility variants, and to support more explicit modelling of the joint effects of genes and environment. The availability of these high throughput technologies does not diminish the importance of rigorous phenotyping and appropriate study designs in all the endeavours to understand the aetiopathogenesis of CAD. Combining classical epidemiology with modern genomics will require collaborative efforts within the cardiovascular disease community at both bench and bedside and this will have the potential to expand our understanding of CAD and translate discoveries into clinically useful applications that will have a major impact on public health.

Genetics of coronary artery disease

Coronary artery disease and its clinical manifestations, including myocardial infarction, are heritable traits, consistent with a role for inherited DNA sequence variation in conferring risk for disease. Knowledge of the new sequence variations in the genome that confer risk has the potential to illuminate new causal biologic pathways in humans and to thereby further improve diagnosis and treatment. Here, we review recent progress in mapping genetic loci related to coronary disease and risk factor phenotypes, including plasma lipoprotein concentrations. Genome-wide linkage (in families) and association (in populations) studies have identified more than a dozen genetic loci related to coronary disease. A key challenge now is to move from mapping loci to pinpointing causal genes and variants, and to develop a molecular understanding of how these genes lead to coronary disease.

Genome-wide association study of coronary artery disease

Coronary artery disease (CAD) is a multifactorial disease with environmental and genetic determinants. The genetic determinants of CAD have previously been explored by the candidate gene approach. Recently, the data from the International HapMap Project and the development of dense genotyping chips have enabled us to perform genome-wide association studies (GWAS) on a large number of subjects without bias towards any particular candidate genes. In 2007, three chip-based GWAS simultaneously revealed the significant association between common variants on chromosome 9p21 and CAD. This association was replicated among other ethnic groups and also in a meta-analysis. Further investigations have detected several other candidate loci associated with CAD. The chip-based GWAS approach has identified novel and unbiased genetic determinants of CAD and these insights provide the important direction to better understand the pathogenesis of CAD and to develop new and improved preventive measures and treatments for CAD.

Genomics of heart failure

Cardiovascular disease is the leading cause of death in men and women, and heart failure (HF) is associated with high rates of morbidity and mortality. Most common forms of HF are non-mendelian and the evidence for heritability is modest. Study of the genetic susceptibility to HF has been limited to patients with rare familial forms of HF and candidate gene association studies in patients with distinct subtypes of HF. However, with the completion of the human genome project and the development of the HapMap template, new large-scale genome-wide association studies are possible. This article reviews the status of these and other important developments in genomics, in particular genome-wide sequencing, and other "omics".

The genetics of cardiovascular disease: new insights from emerging approaches

The prospect that sequencing the human genome would see rapid translation of a greater understanding of cardiovascular genetics into novel diagnostics and therapeutics has so far met with only limited success. However, diverse technological advances and exploitation of novel animal models of cardiovascular development and disease are providing ever more insight into cardiovascular diseases and development, and bring closer the prospect of 'post-genomic' diagnostics and therapies. Here we review some of these emerging approaches (genome wide association studies, deep sequencing, microRNA regulation, and zebrafish as a model of cardiovascular disease and development) and discuss their potential for finally fulfilling the promise of application to clinical cardiovascular medicine.

Genome scan for loci regulating HDL cholesterol levels in Finnish extended pedigrees with early coronary heart disease

Coronary heart disease (CHD) is the leading cause of mortality in Western societies. Its risk is inversely correlated with plasma high-density lipoprotein cholesterol (HDL-C) levels, and approximately 50% of the variability in these levels is genetically determined. In this study, the aim was to carry out a whole-genome scan for the loci regulating plasma HDL-C levels in 35 well-defined Finnish extended pedigrees (375 members genotyped) with probands having low HDL-C levels and premature CHD. The additive genetic heritability of HDL-C was 43%. A variance component analysis revealed four suggestive quantitative trait loci (QTLs) for HDL-C levels, with the highest LOD score, 3.1, at the chromosomal locus 4p12. Other suggestive LOD scores were 2.1 at 2q33, 2.1 at 6p24 and 2.0 at 17q25. Three suggestive loci for the qualitative low HDL-C trait were found, with a nonparametric multipoint score of 2.6 at the chromosomal locus 10p15.3, 2.5 at 22q11 and 2.1 at 6p12. After correction for statin use, the strongest evidence of linkage was shown on chromosomes 4p12, 6p24, 6p12, 15q22 and 22q11. To search for the underlying gene on chromosome 6, we analyzed two functional and positional candidate genes (peroxisome proliferator-activated receptor-delta (PPARD), and retinoid X receptor beta, (RXRB)), but found no significant evidence of association. In conclusion, we identified seven chromosomal regions for HDL-C regulation exceeding the level for suggestive evidence of linkage.

Angiotensin II type 2 receptor gene polymorphisms in cardiovascular disease

Considerable progress in our understanding of the role of the angiotensin II type 2 (AT(2)) receptor in the development of cardiac hypertrophy and coronary artery disease has been achieved using in vitro and in vivo animal models. Our understanding in humans, however, has been hindered by the lack of availability of specific AT(2) receptor agonists and antagonists suitable for human study. Nevertheless, an alternative approach involving genotyping humans for a functional polymorphism within the AT(2) receptor gene (-1332G/A) has been used in several association studies to elucidate the pathogenic role of the AT(2) receptor in cardiovascular disease. Both the A allele and the G allele have independently been associated with left ventricular remodelling. However, the methods of measuring left ventricular mass, sodium balance, age and degree of remodelling appear to influence the outcome. An association of carriers of the G allele and premature coronary artery disease has also been established, particularly in males presenting with stenotic atherosclerosis requiring revascularisation. At the molecular level, it remains unclear as to whether carriers of the G allele express more or fewer AT(2) receptors when compared to carriers of the A allele. Consequently, it is presently not possible to definitively interpret the role of the AT(2) receptor in human cardiovascular disease from these association studies.

CAG repeat polymorphism of the MEF2A gene is not associated with the risk of coronary artery disease among Taiwanese

A 21-bp deletion mutation of the exon 11 of the myocyte enhancer factor-2A (MEF2A) gene was shown to cause familial coronary artery disease. This finding raises the possibility that MEF2A variants may contribute to the risk of coronary artery disease. In total, 258 patients with coronary artery disease and 258 controls were analyzed for the MEF2A variants. The analysis revealed that all patients were negative for Pro279Leu and 21-bp deletion mutations in exons 7 and 11, respectively. The distribution of the allele frequencies of MEF2A exon 11 CAG repeat (CAG)n polymorphism was similar in both patients and controls; Further, no significant association was noted between MEF2A exon 11 (CAG)n polymorphism and the risk of myocardial infarction. Our data suggest that there is no evidence of an association between the MEF2A exon 11 (CAG)n polymorphism and the risk of coronary artery disease/myocardial infarction in the Chinese population in Taiwan.

Genetics and cardiovascular disease: Design and development of a DNA biobank

Coronary artery disease (CAD) is a complex disease with environmental and genetic determinants. Many other cardiovascular (CV) conditions also have a genetic basis. A positive family history of CV disease in first-degree relatives is a strong independent risk factor for CAD as well as several other cardiac disorders. This genetic susceptibility to CV diseases will be understood more clearly when combined with genomics, proteomics and genotyping.The Department of Cardiology at Gold Coast Hospital (Queensland, Australia) with the Faculty of Health, Science and Medicine at Bond University (Queensland, Australia) established the Gold Coast Cardiovascular DNA bank in 2006. The dataset on each individual volunteer includes coronary angiograms, clinical information (including a coronary risk factor profile), biochemical (including cardiac biomarkers) and hematological parameters, and electrocardiograms and echocardiograms. The establishment of the DNA biobank was associated with several key challenges, both technical and logistic.Given the comprehensive nature of the information gathered, the present study has the added potential of identifying genes associated with nonischemic cardiomyopathies, valvular heart disease, congenital heart diseases and other cardiomyopathies. Pooling data from results obtained here with multiple existing DNA biobanks and registries will help in finding answers to the genetic conundrum in CV diseases. The present DNA biobank will serve as a resource well into the future as the technology and science of medical genetics evolve.The most frequent pathology encountered in the biobank is CAD. The significance of the familial occurrence of CAD has been the focus of research for at least 50 years, with a positive family history of CV disease emerging as an independent predictor of risk in the development of CAD. By applying the knowledge learned from studies on CV genetics together with the data from the DNA biobank, scientists may be able to effectively prevent and treat CV diseases in the future.

Athsq1 is an atherosclerosis modifier locus with dramatic effects on lesion area and prominent accumulation of versican

OBJECTIVE

Susceptibility to atherosclerosis is genetically complex, and modifier genes that do not operate via traditional risk factors are largely unknown. A mouse genetics approach can simplify the genetic analysis and provide tools for mechanistic studies.

METHODS AND RESULTS

We previously identified atherosclerosis susceptibility QTL (Athsq1) on chromosome 4 acting independently of systemic risk factors. We now report confirmation of this locus in congenic strains carrying the MOLF-derived susceptibility allele in the C57BL/6J-Ldlr(-/-) genetic background. Homozygous congenic mice exhibited up to 4.5-fold greater lesion area compared to noncongenic littermates (P<0.0001). Analysis of extracellular matrix composition revealed prominent accumulation of versican, a presumed proatherogenic matrix component abundant in human lesions but almost absent in the widely-used C57BL/6 murine atherosclerosis model. The results of a bone marrow transplantation experiment suggested that both accelerated lesion development and versican accumulation are mediated, at least in part, by macrophages. Interestingly, comparative mapping revealed that the Athsq1 congenic interval contains the mouse region homologous to a widely-replicated CHD locus on human chromosome 9p21.

CONCLUSIONS

These studies confirm the proatherogenic activity of a novel gene(s) in the MOLF-derived Athsq1 locus and provide in vivo evidence for a causative role of versican in lesion development.

Candidate gene polymorphisms and the 9p21 locus in acute coronary syndromes

It is now widely accepted that the classic environmental risk factors for atherosclerosis only partly explain the incidence of coronary artery disease and the development of acute coronary syndromes. Therefore, genetic factors that vary among human populations seem to be involved in the clinical manifestations of such patients. Substantial data suggest that a significant proportion of genetic polymorphisms involved in endothelial function, inflammation, lipid metabolism, thrombosis and fibrinolysis are often present in patients with acute coronary syndromes. In particular, a common variant on chromosome 9p21 was recently identified to affect the risk of myocardial infarction. Here, we review the progress of candidate gene studies and genome-wide association studies in identifying the genetic bases of complex cardiovascular diseases such as acute coronary syndromes.

Molecular genetics of myocardial infarction

Myocardial infarction (MI) is an important clinical problem because of its large contribution to mortality. The main causal and treatable risk factors for MI include hypertension, hypercholesterolemia or dyslipidemia, diabetes mellitus, and smoking. In addition to these risk factors, recent studies have shown the importance of genetic factors and interactions between multiple genes and environmental factors. Disease prevention is an important strategy for reducing the overall burden of MI, with the identification of markers for disease risk being key both for risk prediction and for potential intervention to lower the chance of future events. Although genetic linkage analyses of families and sib-pairs as well as candidate gene and genome-wide association studies have implicated several loci and candidate genes in predisposition to coronary heart disease (CHD) or MI, the genes that contribute to genetic susceptibility to these conditions remain to be identified definitively. In this review, we summarize both candidate loci for CHD or MI identified by linkage analyses and candidate genes examined by association studies. We also review in more detail studies that have revealed the association with MI or CHD of polymorphisms in MTHFR, LPL, and APOE by the candidate gene approach and those in LTA and at chromosomal region 9p21.3 by genome-wide scans. Such studies may provide insight into the function of implicated genes as well as into the role of genetic factors in the development of CHD and MI.

Identifying the susceptibility genes for coronary artery disease: from hyperbole through doubt to cautious optimism

The genetic basis of coronary artery disease (CAD) is complex, and the fact that an alarmingly high proportion of reported associations between genetic variants and CAD are not replicated has generated uncertainty as to whether molecular genetics is ever going to deliver on the promises delivered in the late 1990s. However, during 2007, the first generation of large-scale genome-wide association studies using high-density, single nucleotide polymorphism genotyping arrays have revealed genetic variants that are robustly associated with CAD and CAD-related traits such as type 2 diabetes and obesity. In particular, a robust susceptibility locus for CAD has been identified on chromosome 9p21. Also, evidence has been obtained that multiple rare alleles with fairly strong phenotypic effects may contribute to the genetic heritability of CAD, in addition to common variants with a modest impact on risk. Furthermore, new mechanistic connections have been discovered between different common complex diseases including CAD. This review focuses on the challenges and recent advances of molecular genetics in dissecting the molecular pathophysiology of atherothrombosis and defining novel targets for treatment.

A whole-genome scan for stroke or myocardial infarction in family blood pressure program families

BACKGROUND AND PURPOSE

Atherothrombotic diseases, including stroke and myocardial infarction, share a common pathogenesis. Chromosomal regions have been linked to atherothrombotic diseases in family studies, and association studies have identified candidate gene polymorphisms that affect the risk of stroke and/or myocardial infarction. Using data from the Family Blood Pressure Program, we tested for chromosomal regions linked to the composite phenotype of stroke or myocardial infarction in a large set of hypertensive families.

METHODS

Nonparametric linkage analysis was implemented in MERLIN, which tests for excess allele-sharing among affected siblings. Empirical distributions based on gene dropping simulations were constructed for each test statistic, and the -log(10) of the associated probability values were compared.

RESULTS

Analyses were based on 9607 individuals in 226 black, 395 Hispanic, and 207 white families; 106 families had multiple affected individuals. Several regions showed linkage to stroke or myocardial infarction, most significantly in Hispanics on chromosomes 2p21 (-log(10) P=3.0) and 7q21.1 (-log(10) P=2.8), 9q32 in blacks and Hispanics (-log(10) P=3.0), 11p13 in blacks (-log(10) P=2.1), and 12q24.33 in whites (-log(10) P=3.0).

CONCLUSIONS

There is statistically significant evidence for loci affecting stroke or myocardial infarction on chromosomes 2, 9, and 12.

Genetic variation and atherosclerosis

A family history of atherosclerosis is independently associated with an increased incidence of cardiovascular events. The genetic factors underlying the importance of inheritance in atherosclerosis are starting to be understood. Genetic variation, such as mutations or common polymorphisms has been shown to be involved in modulation of a range of risk factors, such as plasma lipoprotein levels, inflammation and vascular calcification. This review presents examples of present studies of the role of genetic polymorphism in atherosclerosis.

Associations with myocardial infarction of six polymorphisms selected from a three-stage genome-wide association study

BACKGROUND

Coronary heart disease, including its clinical manifestation, myocardial infarction (MI), is a common, complex disease with a substantive genetic component. State-of-the-art genetic epidemiology evaluates thousands of single nucleotide polymorphisms (SNPs) in association with disease cases and controls. In an independent but demographically similar population, this study tested 6 SNPs that were previously reported to be associated with MI.

METHODS

Patients hospitalized for an acute MI (n = 413) at an early age (men < 55 years, women < 65 years) were compared with age-discordant (men > or = 65 years, women > or = 70 years) control patients (n = 792) who had no MI history and no hospitalization for MI at index angiography or during longitudinal follow-up. Six SNPs were genotyped in the genes palladin, ROS1, TAS2R50, OR13G1, and ZNF627.

RESULTS

Findings were not different from the null hypothesis, with ZNF627 (AG vs. GG: odds ratio [OR] 1.47, P = .16; AA vs. GG: OR 1.20, P = .50) and both ROS1 SNPs (GG vs AA: OR 0.72, P = .21; CC vs GG: OR 0.74, P = .24) showing potentially interesting ORs but nonsignificant probabilities. After full adjustment for all SNPs and covariables, only the ZNF627 heterozygote genotype had OR > 1.5 (P = .14). Comparison of MI cases with controls without obstructive coronary artery disease and analyses stratified by sex provided similar findings.

CONCLUSIONS

Six SNPs previously reported to be associated with MI were not validated, suggesting that further investigation is needed to verify the applicability of those SNPs to cardiovascular medicine. These findings emphasize the high potential for false-positive results even in staged genome-wide association studies and further emphasize the need for continued refinement of cardiovascular genetic methodologies for clinical application.

Genomics, haplotypes and cardiovascular disease

Cardiovascular disease has a complex genetic and environmental origin. Single-gene mutations have been identified for a variety of disorders, including several forms of sudden cardiac death, atrial fibrillation, hypertrophic cardiomyopathy and coronary artery disease. The recent availability of haplotype data has further enabled genomic approaches to mapping genetic variants associated with the more common polygenic forms of cardiovascular disease. Genome-wide association studies have identified single nucleotide polymorphisms associated with coronary artery disease and are being applied to a variety of clinical problems such as in-stent restenosis. The combination of high-throughput genomic tools such as high density microarrays, genomic information such as sequence and haplotype data, and the careful clinical definition of phenotypes provides the framework for realizing the goals of personalized medicine.

Future use of genomics in coronary artery disease

Coronary artery disease (CAD) remains the number one cause of death in industrialized countries despite our collective efforts to minimize attributable risk from known contributors to CAD such as hypertension, dyslipidemia, and smoking. In addition, clinical trials have consistently demonstrated a family history of coronary disease to be predictive for future cardiovascular events beyond that which would be explained by traditional risk factors. These findings support and have prompted widespread investigation into the genomic basis of CAD and myocardial infarction (MI). Recent advances in genotyping technology have allowed for easier identification and confirmation of susceptibility genes for complex traits across different cohorts via increased power of studies stemming from faster accrual of cases and control subjects and more precise genetic mapping. These technological advances have resulted in defining the genes contributing to a substantial or even majority of population-attributable risk for type 2 diabetes and age-related macular degeneration (AMD) cases. Similar progress in replicating novel susceptibility genes for CAD and specifically MI is now rapidly occurring, with a recent gene marker on chromosome 9p21 representing a highly significant and common variant susceptibility factor. With improved resequencing technology and better phenotypic characterization of our CAD cases and control subjects, we should achieve successes in gene identification and confirmation similar to diabetes and AMD, thereby allowing us to better quantify CAD risk earlier in life and institute more effective therapy reducing the individual propensity to develop CAD.

Mechanisms of disease: The genetic basis of coronary heart disease

Since completion of the human genome sequence, considerable progress has been made in determining the genetic basis of human diseases. Understanding the genetic basis of coronary heart disease (CHD), the leading cause of mortality in developed countries, is a priority. Here we provide an update on the genetic basis of CHD, focusing mainly on the clinical manifestations rather than the risk factors, most of which are heritable and also influenced by genetic factors. The challenges faced when identifying clinically relevant genetic determinants of CHD include phenotypic and genetic heterogeneity, and gene-gene and gene-environment interactions. In addition, the etiologic spectrum includes common genetic variants with small effects, as well as rare genetic variants with large effects. Advances such as the cataloging of human genetic variation, new statistical approaches for analyzing massive amounts of genetic data, and the development of high-throughput single-nucleotide polymorphism genotyping platforms, will increase the likelihood of success in the search for genetic determinants of CHD. Such knowledge could refine cardiovascular risk stratification and facilitate the development of new therapies.

Identification of a chromosome 8p locus for early-onset coronary heart disease in a French Canadian population

Susceptibility to coronary heart disease (CHD) has long been known to exhibit familial aggregation, with heritability estimated to be greater than 50%. The French Canadian population of the Saguenay-Lac Saint-Jean region of Quebec, Canada is descended from a founder population that settled this region 300-400 years ago and this may provide increased power to detect genes contributing to complex traits such as CHD. Probands with early-onset CHD, defined by angiographically determined coronary stenosis, and their relatives were recruited from this population (average sibship size of 6.4). Linkage analysis was performed following a genome-wide microsatellite marker scan on 42 families with 284 individuals. Nonparametric linkage (NPL) analysis provided suggestive evidence for a CHD susceptibility locus on chromosome 8 with an NPL score of 3.14 (P=0.001) at D8S1106. Linkage to this locus was verified by fine mapping in an enlarged sample of 50 families with 320 individuals. This analysis provided evidence of linkage at D8S552 (NPL score=3.53, P=0.0003), a marker that maps to the same location as D8S1106. Candidate genes in this region, including macrophage scavenger receptor 1, farnesyl-diphosphate farnesyltransferase 1, fibrinogen-like 1, and GATA-binding protein 4, were resequenced in all coding exons in both affected and unaffected individuals. Association studies with variants in these and five other genes did not identify a disease-associated mutation. In conclusion, a genome-wide scan and additional fine mapping provide evidence for a locus on chromosome 8 that contributes to CHD in a French Canadian population.

Genetic and genomic insights into the molecular basis of atherosclerosis

Atherosclerosis is a complex disease involving genetic and environmental risk factors, acting on their own or in synergy. Within the general population, polymorphisms within genes in lipid metabolism, inflammation, and thrombogenesis are probably responsible for the wide range of susceptibility to myocardial infarction, a fatal consequence of atherosclerosis. Genetic linkage studies have been carried out in both humans and mouse models to identify these polymorphisms. Approximately 40 quantitative trait loci for atherosclerotic disease have been found in humans, and approximately 30 in mice. Recently, genome-wide association studies have been used to identify atherosclerosis-susceptibility polymorphisms. Although discovering new atherosclerosis genes through these approaches remains challenging, the pace at which these polymorphisms are being found is accelerating due to rapidly improving bioinformatics resources and biotechnologies. The outcome of these efforts will not only unveil the molecular basis of atherosclerosis but also facilitate the discovery of drug targets and individualized medication against the disease.

The common Y402H variant in complement factor H gene is not associated with susceptibility to myocardial infarction and its related risk factors

Recently, the genetic variant Y402H in the CFH (complement factor H) gene was associated with an increased risk for MI (myocardial infarction) in a prospective Caucasian cohort. In another nested case-control study, however, the CFH-Y402H variant did not carry susceptibility to MI. The aim of the present study was to test for an association between the CFH-Y402H variant and MI in a large case-control sample with a familial background for CAD (coronary artery disease). A total of 2161 individuals from the German MI family study were studied by questionnaire, physical examination and biochemical analyses. MI patients (n=1188; 51.4±8.6 years at first MI) were recruited from families with at least two members affected by MI and/or severe CAD. Spouses, sisters-in-law and brothers-in-law respectively, without MI/CAD were included as unaffected controls (n=973; 56.9±9.8 years). Genotyping was performed using a TaqMan assay. The common Y402H variant in the CFH gene was not associated with classical cardiovascular risk factors (diabetes, hypercholesterolaemia, hypertension, obesity, smoking and C-reactive protein serum levels). No association was found between the CFH-Y402H variant and susceptibility to MI. Separate analyses in both men and women revealed no gender-specific influence of the gene variant on cardiovascular risk factors or MI. This investigation was unable to replicate the association between the common CFH-Y402H variant and susceptibility to MI in our large Caucasian population which is enriched for genetic factors. We conclude that the CFH-Y402H variant has no relevant risk-modifying effect in our population.

Gene polymorphisms and susceptibility to coronary artery disease

As pediatric cancer survivors age, long-term cardiovascular complications related to chemotherapeutic toxicities, as well as development of premature coronary artery disease (CAD) from radiation and increased prevalence of CAD risk factors such as obesity, are likely to become more prevalent. Despite advances in our understanding of CAD in the general population, a large amount of the variance in development of disease is unexplained. Given the strong heritability of CAD, some of this may be attributable to genetics. Premature CAD in particular segregates in families, and twin studies have shown that the genetic contribution is greater in premature CAD. In this article, we present a brief review of the literature on the genetics of CAD. Over 30 monogenic disorders feature CAD phenotypes. Recently, however, interest has shifted to understanding the genetic variation contributing to common, complex disease, where disease risk is polygenic and characterized by environmental factors, and gene-environment interactions. CAD epitomizes such a disease, and highlights the inherent difficulties in understanding the underlying genetic architecture of such diseases. Long-term cardiovascular complications in patients who survive pediatric cancers result in significant morbidity and mortality in this population. Clinicians need to be aware of screening and treatment strategies for primary and secondary prevention of cardiovascular complications in this group. Further research is necessary to define the epidemiology and risk factors of premature CAD in survivors of pediatric cancers, and to determine whether candidate genes for cardiovascular disease in the general population are also susceptibility genes in this vulnerable population.