Genetic evaluation for coronary artery disease

The Significance of Genetically Determined Methylation and Folate Metabolism Disorders in the Pathogenesis of Coronary Artery Disease: A Target for New Therapies?

Methylation is a biochemical process involving the addition of a methyl group (-CH3) to various chemical compounds. It plays a crucial role in maintaining the homeostasis of the endothelium, which lines the interior surface of blood vessels, and has been linked, among other conditions, to coronary artery disease (CAD). Despite significant progress in CAD diagnosis and treatment, intensive research continues into genotypic and phenotypic CAD biomarkers. This review explores the significance of the methylation pathway and folate metabolism in CAD pathogenesis, with a focus on endothelial dysfunction resulting from deficiency in the active form of folate (5-MTHF). We discuss emerging areas of research into CAD biomarkers and factors influencing the methylation process. By highlighting genetically determined methylation disorders, particularly the MTHFR polymorphism, we propose the potential use of the active form of folate (5-MTHF) as a novel CAD biomarker and personalized pharmaceutical for selected patient groups. Our aim is to improve the identification of individuals at high risk of CAD and enhance their prognosis.

A Scoping Review of Personalized, Interactive, Web-Based Clinical Decision Tools Available for Breast Cancer Prevention and Screening in the United States

Introduction. Personalized web-based clinical decision tools for breast cancer prevention and screening could address knowledge gaps, enhance patient autonomy in shared decision-making, and promote equitable care. The purpose of this review was to present evidence on the availability, usability, feasibility, acceptability, quality, and uptake of breast cancer prevention and screening tools to support their integration into clinical care. Methods. We used the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews Checklist to conduct this review. We searched 6 databases to identify literature on the development, validation, usability, feasibility, acceptability testing, and uptake of the tools into practice settings. Quality assessment for each tool was conducted using the International Patient Decision Aid Standard instrument, with quality scores ranging from 0 to 63 (lowest-highest). Results. We identified 10 tools for breast cancer prevention and 9 tools for screening. The tools included individual (e.g., age), clinical (e.g., genomic risk factors), and health behavior (e.g., alcohol use) characteristics. Fourteen tools included race/ethnicity, but no tool incorporated contextual factors (e.g., insurance, access) associated with breast cancer. All tools were internally or externally validated. Six tools had undergone usability testing in samples including White (median, 71%; range, 9%-96%), insured (99%; 97%-100%) women, with college education or higher (60%; 27%-100%). All of the tools were developed and tested in academic settings. Seven (37%) tools showed potential evidence of uptake in clinical practice. The tools had an average quality assessment score of 21 (range, 9-39). Conclusions. There is limited evidence on testing and uptake of breast cancer prevention and screening tools in diverse clinical settings. The development, testing, and integration of tools in academic and nonacademic settings could potentially improve uptake and equitable access to these tools.

Highlights

There were 19 personalized, interactive, Web-based decision tools for breast cancer prevention and screening.Breast cancer outcomes were personalized based on individual clinical characteristics (e.g., age, medical history), genomic risk factors (e.g., BRCA1/2), race and ethnicity, and health behaviors (e.g., smoking). The tools did not include contextual factors (e.g., insurance status, access to screening facilities) that could potentially contribute to breast cancer outcomes.Validation, usability, acceptability, and feasibility testing were conducted mostly among White and/or insured patients with some college education (or higher) in academic settings. There was limited evidence on testing and uptake of the tools in nonacademic clinical settings.

Modern medical services, a double-edged sword manages symptoms, but accumulates genetic background of cardiovascular diseases: A cross populational analysis of 217 countries

Background and Aims

Through reduced natural selection, measured with Biological State Index (I bs), modern medicine enables most people to survive well beyond the reproductive lifespan leading to deleterious gene accumulation in population. This study explored the role of reduced natural selection in increasing cardiovascular disease (CVD) incidence worldwide.

Methods

Country-specific estimates of CVD incidence and the index of reduced natural selection were captured for analysis of their correlation. Aging, affluence, obesity prevalence, and urbanization were considered as the potential confounders in the analyses.

Results

Worldwide, I bs was significantly correlated with CVD incidence in the bivariate correlation analyses. This relationship remains when the contributing effects from aging, affluence, obesity prevalence, and urbanization are removed in partial correlation model. Multiple linear regression (enter) shows that I bs is a significant predictor of CVD incidence. Stepwise multiple linear regression selects I bs as the variable having the second greatest influence on CVD incidence after ageing. I bs showed a significantly greater correlation with CVD incidence in low- and middle-income countries (LMICs) than in high-income countries.

Conclusion

Worldwide, through reducing natural selection, the side effects of healthcare services may have been partially contributing to the increase of CVD incidence worldwide with special regard to LMICs.

Joint effects of paraoxonase 1 rs662 polymorphism and vitamins C/E intake on coronary artery disease severity (Gensini and SYNTAX scores) and lipid profile in patients undergoing coronary angiography

Introduction

Considering the emergence of the concept of personalized nutrition in recent years and its importance in the treatment of diseases, the purpose of this study was to investigate the interaction of paraoxonase (PON)1 rs662 polymorphism and vitamin C/E intake on coronary artery disease (CAD) severity and lipid profile in patients undergoing diagnostic angiography.

Methods

This cross-sectional study was carried out on 428 patients undergoing angiography. The PON-1 genotypes were detected by the polymerase chain reaction-restriction fragment length polymorphism technique. Dietary intake was obtained using a valid questionnaire.

Results

After adjustment for potential confounders, R allele carriers (RR + RQ) have lower HDL-C levels than non-carriers (QQ) (P ≤ 0.05). On the other hand, higher consumption of vitamin C was associated with a reduced risk of high total cholesterol (OR: 0.42, 95% CI 0.23-0.75, P = 0.003) and low-density lipoprotein cholesterol (OR: 0.49, 95% CI 0.25-0.96, P = 0.038) and an increased risk of low high-density lipoprotein cholesterol (OR: 1.88, 95% CI 1.03-3.42, P = 0.037). Furthermore, a significant interaction was observed between vitamin C intake and genotypes of rs66 polymorphism on LDL-C (P = 0.050). In detail, the R-allele carriers with lower vitamin C intake had higher LDL-C levels than QQ genotype carriers. No significant interaction was found between vitamin E intake and rs662 polymorphism genotypes on the Gensini and SYNTAX scores and lipid profile (P > 0.05).

Conclusion

The novel finding of the present study was the existence of a significant interaction between rs662 polymorphism and vitamin C intake on LDL-C. More specifically, R allele carriers with lower vitamin C intake were susceptible to higher LDL-C.

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.

Clinical Correlations of Lipid Profiles with the Age and Gender in the Coronary Artery Disease Patients: A Study of 3878 CAD Patients from India

BACKGROUND

Cardiovascular diseases (CVDs) are crucial cause of death and hospitalization all over the world including India. The CVDs including the coronary artery disease (CAD) are developed by the interaction of genetic and environmental factors. Hyperlipidemia is a traditional risk factor for CVD.

AIM

The aim of this study was to study the clinical correlations of lipid profiles with the age and gender in the Coronary Artery Disease Patients: Methods: In this study, we have investigated the effect of age and sex on in lipid profile in 3878 (1171 females and 2707 males) CAD patients from India.

RESULTS

The plasma TG was higher in males than in females regardless of the age. Results showed that CAD female patients had significantly increased HDL-C than their aged matched males. Moreover, the plasma TC and LDL-C were significantly higher in males than females until age 40 years. Then after the age of 40 years, TC and LDL-C become significantly higher in females than in males. In addition, we found that more than 85% of CAD cases were <55 years old, and about 30% of CAD cases had normal lipid profile.

CONCLUSION

We conclude that elderly females are at a greater risk for CAD than males. Moreover, there were no significant differences in CVDs causes between nonelderly and elderly females. In addition, a higher percentage of cases were premature CAD, and 30% of CAD may be caused by loci that are not related to lipid metabolism.

Coronary Artery Disease: Association Study of 5 Loci with Angiographic Indices of Disease Severity

Background

Different common gene variants were related to coronary artery disease (CAD) in many studies. Yet, the relation of these loci to the severity of CAD is not completely elucidated.

Methods

We enrolled 520 subjects (315 CAD cases and 205 controls). CAD presence and extension were assessed by coronary angiography (CAG). Genotyping of five SNPs (namely, rs2230806 (1051G > A) in ABCA1 on chromosome 9, rs2075291 (553G > T) in ApoA5 on chromosome 11, rs320 in LPL on chromosome 8 intron (T → G at position 481), rs10757278 (c.22114477A > G), and rs2383206 (c.22115026 A > G) on chromosome 9p21 locus) was performed by allele-specific PCR. The degree and site of arterial lesions were used to classify patients, tested for association with CAD severity, and related to allele dosage.

Results

The polymorphisms rs2383206 and rs10757278 showed significant associations with 2- and 3-vessel coronary disease (p =0.003 and 0.006, respectively). The homozygous GG genotypes of rs10757278 was associated with higher frequency of left anterior descending (LAD), right coronary artery (RCA) and left circumflex (LCX) diseases (p =0.002, 0.016 and 0.002, respectively). The GG genotypes of rs2383206 were found in higher percentage in patients with left main (LM) trunk and left circumflex (LCX) diseases (p = 0.013 and 0.002, respectively).

Conclusion

SNPs rs10757278 and rs2383206 allele dosage could predict CAD severity in the Saudi Arab population.

TRPM2, PDLIM5, BCL3, CD14, GBA Genes as Feasible Markers for Premature Coronary Heart Disease Risk

Background: Beyond non-genetic risk factors, familial hypercholesterolemia (FH) plays a major role in the development of CHD. FH is a genetic disorder characterized by heritable and severely elevated levels of low-density lipoprotein (LDL) cholesterol, which can lead to premature cardiovascular disease, particularly familial coronary heart disease (FH-CHD). Method: To explore genes indicating a risk of familial (premature) coronary heart disease (FH-CHD) development in FH, 30 Thai male volunteers were enrolled: 7 healthy controls (N), 6 patients with hypercholesterolemia (H), 4 with FH, 10 with CHD, and 3 with FH-CHD. Transcriptome data were investigated using next-generation sequencing analysis in whole blood (n = 3). Genes that were significantly expressed in both FH and FH-CHD, but not in N, H, and CHD groups, were selected and functionally analyzed. Results: The findings revealed that 55 intersecting genes were differentially expressed between FH and FH-CHD groups. Ten of the 55 genes (MAPK14, TRPM2, STARD8, PDLIM5, BCL3, BLOC1S5, GBA, RBMS1, CD14, and CD36 were selected for validation. These 10 genes play potential roles in chronic inflammation and are involved in pathways related to pathogenesis of CHD. Using quantitative real-time PCR, we evaluated the mRNA expression of the selected genes in all 30 volunteers. TRPM2, PDLIM5, BCL3 were significantly upregulated and GBA was significantly downregulated in both FH and FH-CHD compared with the N, H, and CHD groups. Conclusion: our preliminary investigation reveals that the TRPM2, PDLIM5, BCL3, and GBA genes may have potential for further development as predictive markers for FH-CHD.

Circulating miRNAs Are Associated with the Systemic Extent of Atherosclerosis: Novel Observations for miR-27b and miR-146

The mechanisms that regulate the systemic extent of atherosclerosis are not fully understood. We investigated whether the expression of circulating miRNAs is associated with the extent of stable atherosclerosis to a single territory or multiple territories (polyvascular) and with the severity of atherosclerosis in each territory. Ninety-four participants were prospectively recruited and divided into five age- and sex-matched groups: presenting no atherosclerosis, isolated coronary atherosclerosis, coronary and lower extremity atherosclerosis, coronary and carotid atherosclerosis, and atherosclerosis of the coronary, lower extremity, and carotid territories. The expression of six circulating miRNAs with distinct biological roles was assessed. The expression of miR-27b and miR-146 differed across groups (p < 0.05), showing a decrease in the presence of atherosclerosis, particularly in the three territories. miR-27b and miR-146 expression decreased in association with a higher severity of coronary, lower extremity, and carotid atherosclerosis. Polyvascular atherosclerosis involving the three territories was independently associated with a decreased miR-27b and miR-146 expression. Both miRNAs presented an area under the curve of ≥0.75 for predicting polyvascular atherosclerosis involving the three territories. To conclude, miR-27b and miR-146 were associated with the presence of severe polyvascular atherosclerosis and with the atherosclerosis severity in each territory. Both are potential biomarkers of severe systemic atherosclerosis.

Cardiovascular disease risk factors among school children of Bangladesh: a cross-sectional study

OBJECTIVE

Primarily, we assessed the distribution of cardiovascular disease (CVD) risk factors among school children living in urban and rural areas of Bangladesh. In addition to this, we sought the association between place of residence and modifiable CVD risk factors among them.

DESIGN, SETTING AND PARTICIPANTS

This cross-sectional study was conducted among 854 school children (aged 12-18 years) of Bangladesh. Ten public high schools (five from Dhaka and five from Sirajgonj district) were selected randomly and subjects from those were recruited conveniently. To link the family milieu of CVD risk factors, a parent of each children was also interviewed.

PRIMARY AND SECONDARY OUTCOME MEASURES

Distribution of CVD risk factors was measured using descriptive statistics as appropriate. Again, a saturated model of binary logistic regression was used to seek the association between place of residence and modifiable CVD risk factors.

RESULTS

Mean age of the school children was 14.6±1.1 years and more than half (57.6%) were boys. Overall, 4.4% were currently smoker (urban-3.5%, rural-5.2%) with a strong family history of smoking (42.2%). Similar proportion of school children were identified as overweight (total 9.8%, urban 14.7%, rural 5%) and obese (total 9.8%, urban 16.8%, rural 2.8%) with notable urban-rural difference. More than three-fourth (80%) of them were physically inactive with no urban-rural variation. Only 2.4% consumed recommended fruits and/ or vegetables (urban-3.1%, rural-1.7%). In the adjusted model, place of residence had higher odds for having several modifiable CVD risk factors: current smoking (OR: 1.807, CI 0.872 to 3.744), inadequate fruits and vegetables intake (OR: 1.094, CI 0.631 to 1.895), physical inactivity (OR: 1.082, CI 0.751 to 1.558), overweight (OR: 3.812, CI 2.245 to 6.470) and obesity (OR: 7.449, CI 3.947 to 14.057).

CONCLUSIONS

Both urban and rural school children of Bangladesh had poor CVD risk factors profile that demands further nation-wide large scale study to clarify the current findings more precisely.

Identical STEMI Pattern in Two Siblings with Different Risk Factors

Environmental factors may have an important role in the development of coronary heart disease. However, it is not clearly understood yet how the genetic factors interplay with the environmental ones in the onset of acute myocardial infarction. The early onset of coronary artery disease in cases with a positive family history suggests a certain role of genetic predisposition, but the open question remains: could environmental differences contribute to this predisposition? This case report describes similar coronary angiographic findings of two brothers who developed acute myocardial infarction in their early 40s, after being exposed to different environmental risk factors.

Association between mitochondrial DNA haplogroup variation and coronary artery disease

BACKGROUND AND AIMS

Mitochondrial DNA (mtDNA) haplogroups have been associated with the development of coronary artery disease (CAD) in European populations. However, the specific mtDNA haplogroups associated with CAD have not been investigated in Chinese populations.

METHODS AND RESULTS

Here, we carried out a case-control study including 1036 and 481 CAD patients and 973 and 511 geographically matched asymptomatic control subjects in southern and northern China, respectively. After adjusting for age and gender, our results indicated that mtDNA haplogroups are not associated with the occurrence of CAD and its subcategories, acute coronary syndromes and stable coronary heart disease, in both southern and northern Chinese populations. By focusing on the southern Chinese population, we further revealed that mtDNA haplogroups are not associated with CAD severity. Type 2 diabetes (T2D) and hypertension are two key driving factors for the development of CAD, nonetheless, we found that the frequencies of the 12 studied mtDNA haplogroups did not differ between patients with and without T2D or hypertension.

CONCLUSION

mtDNA haplogroups are not associated with the occurrence of CAD or its subcategories in Chinese populations. Other factors such as environment and nuclear genetic background may contribute to the occurrence of CAD.

Variants in MEF2A gene in relation with coronary artery disease in Saudi population

This study investigated the association of variants in myocyte enhancer factor 2A (MEF2A) gene with coronary artery disease (CAD) via case control study on Saudi population. Several studies have indicated a high expression of MEF2A in the human coronary endothelium. The entire (exon 11 putative susceptibility exon) of MEF2A gene was sequenced using direct DNA sequencing method in 120 sporadic patients and 100 controls. Total number of variants were identified and crude odds ratio (OR) with 95% confidence interval (CI) was calculated. In total, three variants were identified, namely, CAG repeats, AGC deletion, and SNP rs: 325400. No significant link was observed between the common (CAG) _n polymorphism, AGC deletion, and CAD risk as reported in other populations, but interestingly, rs325400 (G1323T) in Saudis was found to be associated with the CAD with odds ratio 2.0102 (CI = 1.3405-3.0146) and significance of p = 0.00048. None of Saudi subjects (normal as well as diseased) showed 21-bp deletion as reported previously for other populations. In addition, genotype TT of rs325400 is associated with significantly higher levels of LDL-C and lower level of HDL-C. Among the quantitative parameters, lower HDL-C and higher LDL-C was found to be associated with disease. We report that MEF2A gene based on SNP rs325400 (G1323T) can be considered as a susceptibility factor for CAD and presence of T allele makes Saudis at more risk to CAD, while other variants detected in this gene do not have any association in Saudi population.

Apolipoprotein B and angiotensin-converting enzyme polymorphisms and aerobic interval training: randomized controlled trial in coronary artery disease patients

Physical training has been strongly recommended as a non-pharmacological treatment for coronary artery disease (CAD). Genetic polymorphisms have been studied to understand the biological variability in response to exercise among individuals. This study aimed to verify the possible influence of apolipoprotein B (ApoB: rs1042031 and rs693) and angiotensin-converting enzyme (ACE-ID: rs1799752) genotypes on the lipid profile and functional aerobic capacity, respectively, after an aerobic interval training (AIT) program in patients with CAD and/or cardiovascular risk factors. Sixty-six men were randomized and assigned to trained group (n=32) or control group (n=34). Cardiopulmonary exercise test was performed to determine the ventilatory anaerobic threshold (VAT) from cardiorespiratory variables. The AIT program, at an intensity equivalent to %VAT (70-110%), was conducted three times a week for 16 weeks. ApoB gene polymorphisms (-12669C>T (rs1042031) and -7673G>A (rs693)) were identified by real-time polymerase chain reaction (PCR). I/D polymorphism in the ACE gene (rs1799752) was identified through PCR and fragment size analysis. After 16 weeks, low-density lipoprotein (LDL) levels increased in the trained and control groups with the GA+AA genotype (-7673G>A) of the ApoB gene. Trained groups with ACE-II and ACE-ID genotypes presented an increase in oxygen consumption (VO2VAT) and power output after the AIT program. The presence of the ACE I-allele was associated with increased aerobic functional capacity after the AIT program. Increased LDL levels were observed over time in patients with the -7673G>A polymorphism of the ApoB gene. Trial Registration Information: ClinicalTrials.gov: NCT02313831.

Manifestation of Coronary Atherosclerosis in Klang Valley, Malaysia: An Autopsy Study

Aims: The present study aimed to determine the epidemiological aspects of medico-legal autopsies and manifestation of coronary atherosclerosis.

Methods: This was a cross sectional study involving 222 cases recruited from National Institute of Forensic Medicine (NIFM) Hospital Kuala Lumpur (HKL) and Department of Forensic Medicine Hospital Sungai Buloh (HSgB) for a period of 15 months, from December 2012 to April 2014. Sociodemographic and autopsy findings, including the cause and manner of death were documented.

Results: Male and female subjects aged 18–70 years were recruited. Males contributed to 86% of the total subjects and comprised 61% of young adults. Road traffic accidents were the primary cause of death, contributing almost 50% of the subjects. One third of the cases comprised of death due to natural causes, wherein almost 75% of the subjects within this category succumbed to sudden cardiac death. Coronary artery disease (CAD) contributed to 60% of the sudden cardiac death (SCD). Single and double-vessel diseases were the most common pattern of atherosclerosis. In almost 80% of CAD cases, atherosclerosis affected the left anterior descending artery (LAD).

Conclusion: Cardiovascular diseases were the most significant natural cause of sudden death with a staggering figure of 75%. CAD was the single most commonly encountered pathology within the SCD. Most cases presented with single and double-vessel diseases, observed in all subjects, as well as the young adult population.

PPBP and DEFA1/DEFA3 genes in hyperlipidaemia as feasible synergistic inflammatory biomarkers for coronary heart disease

BACKGROUND

Coronary heart disease (CHD) is an important complication of atherosclerosis. Biomarkers, which associate with CHD development, are potential to predict CHD risk. To determine whether genes showing altered expression in hyperlipidaemia (H) and coronary heart disease (CHD) patients compared with controls could be CHD risk biomarkers.

METHODS

Control, H, and CHD groups represented atherosclerosis to CHD development. Gene profiling was investigated in peripheral blood mononuclear cells using DNA microarrays. Eight selected genes expressed only in H and CHD groups were validated by real-time quantitative reverse transcription PCR and plasma protein determination.

RESULTS

α-defensin (DEFA1/DEFA3), pro-platelet basic protein (PPBP), and beta and alpha2 hemoglobin mRNA expression was significantly increased in H and CHD groups compared with controls, but only plasma PPBP and α-defensin proteins were correspondingly increased.

CONCLUSION

PPBP and DEFA1/DEFA3 could be potential CHD biomarkers in Thai hyperlipidaemia patients.

Parental Age of Onset of Cardiovascular Disease as a Predictor for Offspring Age of Onset of Cardiovascular Disease

OBJECTIVE

The risk for cardiovascular disease (CVD) is higher for individuals with a first-degree relative who developed premature CVD (with a threshold at age 55 years for a male or 65 years for a female). However, little is known about the effect that each unit increase or decrease of maternal or paternal age of onset of CVD has on offspring age of onset of CVD. We hypothesized that there is an association between maternal and paternal age of onset of CVD and offspring age of onset of CVD.

METHODS

We used the Framingham Heart Study database and performed conditional imputation for CVD-censored parental age (i.e. parents that didn't experience onset of CVD) and Cox proportional regression analysis, with offspring's age of onset of CVD as the dependent variable and parental age of onset of CVD as the primary predictor. Modifiable risk factors in offspring, such as cigarette smoking, body mass index (BMI), diabetes mellitus, systolic blood pressure (SBP), high-density lipoprotein (HDL) level, and low-density lipoprotein (LDL) level, were controlled for. Separate analyses were performed for the association between maternal age of onset of CVD and offspring age of onset of CVD and the association between paternal age of onset of CVD and offspring age of onset of CVD.

RESULTS

Parental age of onset of CVD was predictive of offspring age of onset of CVD for maternal age of onset of CVD (P < .0001; N = 1401) and for paternal age of onset of CVD (P = 0.0134; N = 1221). A negative estimate of the coefficient of interest signifies that late onset of cardiovascular events in parents is protective of onset of CVD in offspring. Cigarette smoking and HDL level were important associated confounders.

CONCLUSIONS

Offspring age of onset of cardiovascular disease is significantly associated with both maternal and paternal age of onset CVD. The incorporation of the parameters, maternal or paternal age of onset of CVD, into risk estimate calculators may improve accuracy of identification of high-risk patients in clinical settings.

Association of CYBA G640A variation with coronary artery disease in Indians

INTRODUCTION

Oxidative stress induces atherosclerosis by triggering an inflammatory cascade within the vascular wall.

OBJECTIVE

To investigate the role of pro-oxidant and antioxidant gene variations with CAD in Indian subjects.

MATERIALS & METHODS

It's a case-control study and genotyping for the variants MPO G-463A, CYBA G640A, SOD2 Val16Ala and CAT C-262T were performed by conventional PCR techniques.

RESULTS

Only CYBA G640A variant allele was found to be significantly (p = 0.0075) associated with CAD.

CONCLUSION

Although CYBA G640A variation was found to be significant, a larger study is needed to validate these results and establish its role as a biomarker.

Novel therapeutics for coronary artery disease from genome-wide association study data

Background

Coronary artery disease (CAD), one of the leading causes of death globally, is influenced by both environmental and genetic risk factors. Gene-centric genome-wide association studies (GWAS) involving cases and controls have been remarkably successful in identifying genetic loci contributing to CAD. Modern in silico platforms, such as candidate gene prediction tools, permit a systematic analysis of GWAS data to identify candidate genes for complex diseases like CAD. Subsequent integration of drug-target data from drug databases with the predicted candidate genes can potentially identify novel therapeutics suitable for repositioning towards treatment of CAD.

Methods

Previously, we were able to predict 264 candidate genes and 104 potential therapeutic targets for CAD using Gentrepid (http://www.gentrepid.org), a candidate gene prediction platform with two bioinformatic modules to reanalyze Wellcome Trust Case-Control Consortium GWAS data. In an expanded study, using five bioinformatic modules on the same data, Gentrepid predicted 647 candidate genes and successfully replicated 55% of the candidate genes identified by the more powerful CARDIoGRAMplusC4D consortium meta-analysis. Hence, Gentrepid was capable of enhancing lower quality genotype-phenotype data, using an independent knowledgebase of existing biological data. Here, we used our methodology to integrate drug data from three drug databases: the Therapeutic Target Database, PharmGKB and Drug Bank, with the 647 candidate gene predictions from Gentrepid. We utilized known CAD targets, the scientific literature, existing drug data and the CARDIoGRAMplusC4D meta-analysis study as benchmarks to validate Gentrepid predictions for CAD.

Results

Our analysis identified a total of 184 predicted candidate genes as novel therapeutic targets for CAD, and 981 novel therapeutics feasible for repositioning in clinical trials towards treatment of CAD. The benchmarks based on known CAD targets and the scientific literature showed that our results were significant (p < 0.05).

Conclusions

We have demonstrated that available drugs may potentially be repositioned as novel therapeutics for the treatment of CAD. Drug repositioning can save valuable time and money spent on preclinical and phase I clinical studies.

Clinically relevant lessons from Family HealthLink: a cancer and coronary heart disease familial risk assessment tool

PURPOSE

A descriptive retrospective study was performed using two separate user cohorts to determine the effectiveness of Family HealthLink as a clinical triage tool.

METHODS

Cohort 1 consisted of 2,502 users who accessed the public website. Cohort 2 consisted of 194 new patients in a Comprehensive Breast Center setting. For patient users, we assessed documentation of family history and genetics referral. For all users seen in a genetics clinic, the Family HealthLink assessment was compared with that performed by genetic counselors and genetic testing outcomes.

RESULTS

For general public users, the percentage meeting high-risk criteria were: for cancer only, 22.2%; for coronary heart disease only, 24.3%; and for both diseases, 10.4%. These risk stratification percentages were similar for the patient users. For the patient users, there often was documentation of family history of certain cancer types by oncology professionals, but age of onset and coronary heart disease family history were less complete. Of 142 with high-risk assignments seen in a genetics clinic, 130 (91.5%) of these assignments were corroborated. Forty-two underwent genetic testing and 17 (40.5%) had new molecular diagnoses established.

CONCLUSION

A significant percentage of individuals are at high familial risk and may require more intensive screening and referral. Interactive family history triage tools can aid this process.Genet Med 17 6, 493-500.

Association between the receptor for advanced glycation end products gene polymorphisms and coronary artery disease

Receptor for advanced glycation end products (RAGE) is a cell-surface molecule member of the immunoglobulin superfamily and thought to play a critical role in diabetic atherosclerosis. A growing body of studies has been conducted to determine the extent to which the variants of RAGE gene influence the risk of coronary artery disease (CAD). However, these have reported conflicting results. To investigate this inconsistency, we performed a comprehensive meta-analysis on the associations between the RAGE -374T/A, -429T/C, and Gly82Ser polymorphisms and the risk of CAD. A total of 4,402 cases and 6,081 controls from 17 published case-control studies were included. The overall odds ratio (OR) of CAD was 0.99 (95 % CI 0.87-1.13), 1.06 (95 % CI 0.95-1.18) and 1.12 (95 % CI 0.90-1.39) for -374A, -429C, and the minor S allele of the Gly82Ser polymorphism, respectively. Similarly, no significant results were observed for these polymorphisms using dominant model. However, when stratified by diabetic/non-diabetic status of the CAD patients, we found significant association among Caucasian type two diabetic CAD patients with the -374A allele [OR 1.39, 95 % CI 1.10-1.76, P(Z) = 0.006], while no association was detected between the -374T/A polymorphism and non-diabetic CAD in Caucasians [OR 0.79, 95 % CI 0.58-1.07, P(Z) = 0.13]. In conclusion, this meta-analysis suggested that possession of the -374A allele may be a risk factor in CAD among Caucasian patients with type two diabetes.

Development and validation of a family history screening questionnaire in Australian primary care

PURPOSE

We aimed to validate a family history screening questionnaire in an Australian primary care population designed to identify people at increased risk for breast, ovarian, colorectal, and prostate cancer; melanoma; ischemic heart disease; and type 2 diabetes.

METHODS

We prospectively validated the questionnaire in 6 general practices in Perth, Western Australia among 526 patients aged 20 to 50 years who responded to a single invitation from their general practice. They completed the 15-item questionnaire before a reference standard 3-generation pedigree was obtained by a genetic counselor blinded to the questionnaire responses. We calculated diagnostic performance statistics for the questionnaire using the pedigree as the reference standard.

RESULTS

A combination of 9 questions had the following diagnostic performance, expressed as value (95% CI), to identify increased risk of any of the 7 conditions: area under the receiver operating characteristic curve 84.6% (81.2%-88.1%), 95% sensitivity (92%-98%), and 54% specificity (48%-60%). The combination of questions to detect increased risk had sensitivity of 92% (84%-99%) and 96% (93%-99%) for the 5 and 6 conditions applicable only to men and women, respectively. The specificity was 63% (28%-52%) for men and 49% (42%-56%) for women. The positive predictive values were 67% (56%-78%) and 68% (63%-73%), and the false-positive rates were 9% (0.5%-17%) and 9% (3%-15%) for men and women, respectively.

CONCLUSIONS

This simple family history screening questionnaire shows good performance for identifying primary care patients at increased disease risk because of their family history. It could be used in primary care as part of a systematic approach to tailored disease prevention.

Should your family history of coronary heart disease scare you?

Traditional risk factors explain most of the risk associated with coronary heart disease, and after adjustment for risk factors family history was believed to contribute very little to population-attributable risk of coronary heart disease. However, the INTERHEART study demonstrated an independent association of family history of coronary heart disease with acute myocardial infarction. To assess this relationship more comprehensively in multiple datasets in different populations, we carried out a detailed review of the available evidence. Case-control studies involving 17,202 cases and 30,088 controls yielded a pooled unadjusted odds ratio (random-effects model, overall I(2) = 64.6%, P = 0.000) of 2.03 (95% confidence interval: 1.79-2.30), whereas cohort studies that included 313,837 individuals yielded an unadjusted relative risk for future coronary heart disease (random-effects model, overall I(2) = 88.7%, P = 0.000) of 1.60 (95% confidence interval: 1.44-1.77). Although the presence of family history of coronary heart disease indicates a cumulative exposure of shared genes and environment, the risk estimates for family history did not attenuate significantly after adjustment for conventional coronary heart disease risk factors in several studies. It is probably an oversimplification to dichotomize the family history variable into a simple "yes" or "no" risk factor, as the significance of family history is influenced by several variables, such as age, sex, number of relatives, and age at onset of disease in the relatives. Moreover, a quantitative risk-assessment model for the family history variable, such as the "family risk score," has a positive linear relationship with coronary heart disease. More studies are warranted to assess the benefits and risks of intensive interventions, both targeted individually and at the family level, among individuals with a valid family history and borderline elevated risk factors.

Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies

We report a new model to project the predictive performance of polygenic models based on the number and distribution of effect sizes for the underlying susceptibility alleles and the size of the training dataset. Using estimates of effect-size distribution and heritability derived from current studies, we project that while 45% of the variance of height has been attributed to common tagging Single Nucleotide Polymorphisms (SNP), a model trained on one million people may only explain 33.4% of variance of the trait. Current studies can identify 3.0%, 1.1%, and 7.0%, of the populations who are at two-fold or higher than average risk for Type 2 diabetes, coronary artery disease and prostate cancer, respectively. Tripling of sample sizes could elevate the percentages to 18.8%, 6.1%, and 12.2%, respectively. The utility of future polygenic models will depend on achievable sample sizes, underlying genetic architecture and information on other risk-factors, including family history.

Cardiometabolic risk profile of rural South Indians undergoing coronary interventions

BACKGROUND

According to projected estimates, India will bear 60% of the world's cardiovascular disease (CVD) burden by the year 2020. CVD mortality rates are high in South India compared with the rest of India.

OBJECTIVE

The objective of this study was to examine the prevalence of behavioural, biological and metabolic risk factors in different age groups of rural South Indians undergoing coronary interventions under a governmental health insurance scheme.

METHODS

This study includes 1294 patients who underwent coronary interventions. Age, gender and anthropometric measurements were recorded. History of hypertension, diabetes, smoking and family history of ischaemic heart disease was obtained from every subject. Physical activity was assessed using a General Practise physical activity questionnaire. Investigations like haemogram, blood urea, serum creatinine, fasting and postprandial blood glucose, lipid profile and echocardiography were carried out for all patients.

RESULTS

Hypertension was found in 65% patients, 32.38% had diabetes mellitus, 41.65% were smokers (current and former), 37.17% had dyslipidemia, 31.06% had body mass index more than 25 kg/m, 27.04% were physically active, 37% had left ventricular dysfunction, and 8.57% had renal impairment ( table 1). Statistically significant differences were seen in the prevalence rates of different risk factors in the compared age groups (p=<0.05) except for hypertension and dyslipidemia (p=0.596 and 0.306).

CONCLUSIONS

Risks to health, as an area of study, has recently begun to receive attention in developing countries including India. Population-based strategies aimed at bringing down risk factor levels in the community can translate into major public health benefits.

Genetic and environmental relationships between Framingham Risk Score and adiposity measures in Koreans: the Healthy Twin study

BACKGROUND AND AIMS

We examined heritability and bivariate analyses for the Framingham Risk Score (FRS) and adiposity measures among Koreans.

METHODS AND RESULTS

We analysed the data from 2496 participants (962 men, 1534 women, age 30-74 years), including 1320 non-twin family members, 468 monozygotic (MZ) and 120 dizygotic (DZ) twin pairs, collected from the Healthy Twin study of Korea. Adiposity measurements comprised BMI, waist circumference (WC), waist-to-hip ratio and waist-to-height ratio (WHTR). Analyses were conducted using the Sequential Oligogenic Linkage Analysis Routines (SOLAR) package software. The co-twin control analyses shows that estimates of within-pair regression coefficients in the relationship between adiposity traits and FRS were attenuated for MZ twin pairs, relative to DZ twin pairs (0.11-0.26 vs. 0.60-0.71). The heritability estimate for FRS was 0.37, and the estimates for adiposity traits ranged from 0.45 to 0.63 (P < 0.001). Bivariate analysis revealed genetic correlations between FRS, and all of the adiposity traits ranged from 0.16 (for WHTR, P > 0.05) to 0.46 (for WC, P < 0.001). The common environmental correlations between FRS and each of the adiposity traits ranged from 0.43 to 0.66 (P < 0.001).

CONCLUSIONS

FRS and each of the obesity traits shared common genetic and environmental relationships. These findings support a pleiotropic action between genes associated with adiposity traits and FRS and a need of further investigations for identifying specific common environmental factors.

Variants in exon 11 of MEF2A gene and coronary artery disease: evidence from a case-control study, systematic review, and meta-analysis

Background

Coronary artery disease (CAD) is the most common heart disease worldwide. Association of CAD with variants in the myocyte enhancer factor 2A (MEF2A) gene, the first identified CAD-causing gene, has attracted special attention but the results are controversial. We aimed to evaluate this genetic association via a case-control study and meta-analysis.

Methodology/Principal Findings

We performed a case-control association study to investigate the relationship between variations in exon 11 of MEF2A gene and CAD in 1045 sporadic patients and 1008 controls enrolled angiographically among southern Chinese population, and then the data from this study were compared and discussed in a systematic review and meta-analysis with all available published studies on MEF2A gene and CAD. In total, eight variants were identified (21-bp deletion, CAG repeats, CCG repeats, a CCA deletion and four SNPs). No significant link was observed between the common (CAG)_n polymorphism and CAD, whereas the rare 21-bp deletion was detected only in five affected individuals. The meta-analysis of (CAG)_n polymorphism and CAD risk, including nine studies with 3801 CAD patients and 4020 controls, also provided no convincing evidence for the genetic association, even upon stratification by race (mainly Whites and Chinese). However, the 21-bp deletion was regarded as a potentially logical, albeit undetermined, candidate for CAD in the following systematic review.

Conclusions/Significance

Our findings failed to demonstrate a correlation between (CAG)_n polymorphism with CAD, however, we concluded that the rare 21-bp deletion might have a more compelling effect on CAD than the common (CAG)_n polymorphism, and MEF2A genetic variant might be a rare but specific cause of CAD/MI.

Protocol for implementation of family health history collection and decision support into primary care using a computerized family health history system

Background

The CDC's Family History Public Health Initiative encourages adoption and increase awareness of family health history. To meet these goals and develop a personalized medicine implementation science research agenda, the Genomedical Connection is using an implementation research (T3 research) framework to develop and integrate a self-administered computerized family history system with built-in decision support into 2 primary care clinics in North Carolina.

Methods/Design

The family health history system collects a three generation family history on 48 conditions and provides decision support (pedigree and tabular family history, provider recommendation report and patient summary report) for 4 pilot conditions: breast cancer, ovarian cancer, colon cancer, and thrombosis. All adult English-speaking, non-adopted, patients scheduled for well-visits are invited to complete the family health system prior to their appointment. Decision support documents are entered into the medical record and available to provider's prior to the appointment. In order to optimize integration, components were piloted by stakeholders prior to and during implementation. Primary outcomes are change in appropriate testing for hereditary thrombophilia and screening for breast cancer, colon cancer, and ovarian cancer one year after study enrollment. Secondary outcomes include implementation measures related to the benefits and burdens of the family health system and its impact on clinic workflow, patients' risk perception, and intention to change health related behaviors. Outcomes are assessed through chart review, patient surveys at baseline and follow-up, and provider surveys. Clinical validity of the decision support is calculated by comparing its recommendations to those made by a genetic counselor reviewing the same pedigree; and clinical utility is demonstrated through reclassification rates and changes in appropriate screening (the primary outcome).

Discussion

This study integrates a computerized family health history system within the context of a routine well-visit appointment to overcome many of the existing barriers to collection and use of family history information by primary care providers. Results of the implementation process, its acceptability to patients and providers, modifications necessary to optimize the system, and impact on clinical care can serve to guide future implementation projects for both family history and other tools of personalized medicine, such as health risk assessments.

Genetic analysis in cardiovascular disease: a clinical perspective

Many forms of cardiovascular disease (CVD) demonstrate heritability and thus a genetic contribution is likely. This is most evident when considering the "simple" Mendelian traits such as hypertrophic cardiomyopathy. However, family history also influences our assessment of patients with complex traits such as coronary artery disease, hypertension, and common forms of hypercholesterolemia, as observed in clinical practice. Recent research has led to advances in our understanding of the genetic basis of both the simple and complex forms of CVD. This review presents the current state of knowledge regarding major gene disorders, as well as more common, complex forms of CVD such as coronary artery disease. It discusses the fundamental approaches being used to identify the genetic basis of the various disease states, as well as the practical implications of the discoveries to clinicians. It also focuses on our need to assess the extent by which genetic analysis can alter our calculation of an individual's risk of disease, and our ability to successfully target treatment that will modify this process.

The prospect of genome-guided preventive medicine: a need and opportunity for genetic counselors

One of the major anticipated benefits of genomic medicine is the area of preventive medicine. Commercially available genomic profiling is now able to generate risk information for a number of common conditions several of which have recognized preventive guidelines. Similarly, family history assessment affords powerful health risk prediction based on the shared genetic, physical and lifestyle environments within families. Thus, with the ability to help predict disease risk and enable preemptive health plans, genome-guided preventive medicine has the potential to improve population health on an individualized level. To realize this potential, steps to broaden access to accurate genomic health information must be considered. With expertise in genetic science, risk assessment and communication, and a patient-centered practice approach, genetic counselors are poised to play a critical role in facilitating the incorporation of genomic health risks into the burgeoning field of genome-guided preventive medicine.

Reliability of family history of lifestyle-related diseases on questionnaire

BACKGROUND

Family history of lifestyle-related diseases is an important risk factor and is widely used in epidemiologic studies. To justify its use the validity of the family history needs to be assessed. The aim of the present study was therefore to examine reliability, that is, consistency in repeated measurements, of the family history obtained on questionnaire.

METHODS

A questionnaire survey on the family history of lifestyle-related diseases was conducted for 438 high school students about students' parents, grandparents, uncles and aunts, twice with a 1 year interval. The questionnaire was filled in by their parents. Discordance between the two questionnaires in age, age at death and a positive history of lifestyle-related diseases expressed by age at onset by decade age among the family members was examined. Kappa was used as a measure of agreement.

RESULTS

The kappas for relatives were high, mostly >0.7 for hypertension and >0.5 for myocardial infarction, angina pectoris, stroke, diabetes mellitus and hypercholesterolemia. The discordance tended to be higher among grandparents than parents, uncles and aunts. The discordance with regard to relatives was mostly <4% for angina pectoris, myocardial infarction, stroke and diabetes mellitus; for hypertension and hypercholesterolemia the discordance was <6%.

CONCLUSIONS

The questionnaire provides a reliable and valid method of collecting family history on relatives of high school students. Thus, family history obtained through questionnaires can be used justifiably as a risk factor for lifestyle-related diseases among children and youths.

Incidental findings in genetics research using archived DNA

Despite calls by some commentators for disclosing incidental findings in genetics research, several factors weigh in favor of caution. The technology of genetics has the power to uncover a vast array of information. The most potent argument for restraint in disclosure is that much research is pursued without consent so that the individual participant may not know that research is being conducted at all. Often the work is done by investigators and at institutions with which the person has no prior contact. Past practice is also relevant; genetics researchers historically have chosen not to disclose incidental findings, of which misattributed paternity and pleiotropic alleles such as ApoE have been the most common. Many people choose not to have genetic tests when given a choice. It may be desirable to discuss the topic of incidental findings when consent for research is obtained, but given the risk of unwanted surprise when there has been no prior discussion, the potential utility of incidental findings should be very high before they are even offered to individuals.

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.

Familial risk assessment for early-onset coronary heart disease

PURPOSE

We examined the performance of a familial risk assessment method that stratifies risk for early-onset coronary heart disease by considering the number of relatives with coronary disease, degree of relationship, lineage, and age at diagnosis.

METHODS

By using data from the HealthStyles 2003 survey, we assessed the associations between familial risk and early-onset coronary heart disease, diabetes, hypercholesterolemia, hypertension, and obesity. By using area under the curve statistics, we evaluated the discriminatory ability of various risk assessment models.

RESULTS

Of 4,035 respondents, 60% were female and 72% were white, with a mean age of 48.8 years. After adjustment for demographics, strong and moderate risk were significantly associated with approximately a five- and twofold risk of early-onset coronary disease, respectively. After adjustment for demographics and personal history of cardiovascular disease, strong familial risk was also significantly associated with diabetes, hypercholesterolemia, hypertension, and obesity. A risk assessment model that included familial risk, demographics, and personal history of diabetes, hypercholesterolemia, hypertension, and obesity was most optimal with an area under the curve statistic of 87.2%

CONCLUSIONS

Familial risk assessment can stratify risk for early-onset coronary heart disease. Several conditions associated with increased familial risk can be prevented. These results have important implications for risk assessment and risk-reducing interventions.

Gene discovery for dental anomalies

BACKGROUND

Thousands of inherited human disorders have been catalogued to date, but the underlying genetic causes of less than 20 percent of those disorders have been discovered.

TYPE OF STUDIES REVIEWED

The completion of the Human Genome Project (HGP) has made available the DNA sequence of all 24 human chromosomes, thereby allowing the localization of all human genes and, ultimately, determination of their function. Disease gene discovery is being expedited greatly by the data from the HGP, thereby paving the way for determination of the genetic etiology of most of these disorders.

RESULTS

While most dental anomalies can severely affect patients' quality of life, they are not fatal, which makes multigenerational families with these disorders available for study. These families are invaluable for genetic studies. Despite this fact, the discovery of genes underlying non-syndromic dental anomalies has lagged behind that for anomalies affecting other organ systems. The authors present an overview of the methodologies of disease gene identification using hypodontia, which is one of the most common anomalies of the dentition, to illustrate the application of these principles.

CLINICAL IMPLICATIONS

An understanding of the advances in human genetics should inspire the practicing dental professional to ascertain whether a dental anomaly is inherited and, if so, work with a human geneticist to identify its underlying genetic mechanism.

Genetic competencies essential for health care professionals in primary care

The completion of the sequencing of the human genome in 2003 signaled the onset of the genomic era in health care. The knowledge gleaned from the Human Genome Project has led to the understanding that every health problem has a genetic component and that clinicians should include the application of genetic information in all aspects of health care. This article describes the genetic competencies essential for all health care professionals in primary care. Health care professionals should augment their current practice by obtaining a multigenerational genetic family history for each patient, assessing all patients for potentially heritable conditions, providing referrals to genetic health professionals as needed, offering genetic testing when indicated, and considering an individual's genetic makeup in the selection of medications and treatments for that person. Finally, all health care professionals ought to be prepared to address the complex personal, cultural, theological, ethical, legal, and social issues associated with genetic testing and other genetic issues commonly encountered in clinical practice.

Genetic epidemiology and public health: hope, hype, and future prospects

Genetic epidemiology is a rapidly expanding research field, but the implications of findings from such studies for individual or population health are unclear. The use of molecular genetic screening currently has some legitimacy in certain monogenic conditions, but no established value with respect to common complex diseases. Personalised medical care based on molecular genetic testing is also as yet undeveloped for common diseases. Genetic epidemiology can contribute to establishing the causal nature of environmentally modifiable risk factors, through the application of mendelian randomisation approaches and thus contribute to appropriate preventive strategies. Technological and other advances will allow the potential of genetic epidemiology to be revealed over the next few years, and the establishment of large population-based resources for such studies (biobanks) should contribute to this endeavour.

Lack of MEF2A mutations in coronary artery disease

Mutations in MEF2A have been implicated in an autosomal dominant form of coronary artery disease (adCAD1). In this study we sought to determine whether severe mutations in MEF2A might also explain sporadic cases of coronary artery disease (CAD). To do this, we resequenced the coding sequence and splice sites of MEF2A in approximately 300 patients with premature CAD and failed to find causative mutations in the CAD cohort. However, we did identify the 21-bp MEF2A coding sequence deletion originally implicated in adCAD1 in 1 of 300 elderly control subjects without CAD. Further screening of approximately 1,500 additional individuals without CAD revealed 2 more subjects with the MEF2A 21-bp deletion. Genotyping of 19 family members of the 3 probands with the 21-bp deletion in MEF2A revealed that the mutation did not cosegregate with early CAD. These studies support that MEF2A mutations are not a common cause of CAD in white people and argue strongly against a role for the MEF2A 21-bp deletion in autosomal dominant CAD.

Genetics and public health--evolution, or revolution?

During the 19th and early 20th century, public health and genetics shared common ground through similar approaches to health promotion in the population. By the mid-20th century there was a division between public health and genetics, with eugenicists estranged and clinical genetics focused on single gene disorders, usually only relevant to small numbers of people. Now through a common interest in the aetiology of complex diseases such as heart disease and cancer, there is a need for people working in public health and genetics to collaborate. This is not a comfortable convergence for many, particularly those in public health. Nine main concerns are reviewed: fear of eugenics; genetic reductionism; predictive power of genes; non-modifiable risk factors; rights of individuals compared with populations; resource allocation; commercial imperative; discrimination; and understanding and education. This paper aims to contribute to the thinking and discussion about an evolutionary, multidisciplinary approach to understanding, preventing, and treating complex diseases.

Clinical application of genetic risk assessment strategies for coronary artery disease: genotypes, phenotypes, and family history

Individuals with genetic predisposition to atherosclerosis have an increased risk for developing coronary artery disease (CAD), especially at young ages. They may derive the greatest benefit from traditional preventive strategies and strategies targeting novel,emerging risk factors. Because CAD is a complex, multifactorial disorder, global risk assessment has been recognized as an effective approach in preventing CAD and its manifestations. The systematic collection and interpretation of family history information is currently the most appropriate screening approach to identify individuals with genetic susceptibility to CAD. Much of the familial aggregation of CAD might be explained by familial aggregation of established risk factors and emerging CAD risk factors. Tests to assess genetic risk for CAD are primarily biochemical analyses that measure the different pathways involved in development and progression of disease. Some of these can guide and explain responses to treatment.