QTLs of factors of the metabolic syndrome and echocardiographic phenotypes: the hypertension genetic epidemiology network study

Natural selection and local adaptation of blood pressure regulation and their perspectives on precision medicine in hypertension

Prevalence of hypertension (HTN) varies substantially across different populations. HTN is not only common - affecting at least one third of the world's adult population - but is also the most important driver for cardiovascular diseases. Yet up to a third of hypertensive patients are resistant to therapy, contributed by secondary hypertension but more commonly the hitherto inability to precisely predict response to specific antihypertensive agents. Population and individual genomics information could be useful in guiding the selection and predicting the response to treatment - an approach known as precision medicine. However this cannot be achieved without the knowledge of genetic variations that influence blood pressure (BP). A number of evolutionary factors including population demographics and forces of natural selection may be involved. This article explores some ideas on how natural selection influences BP regulation in ethnically and geographically diverse populations that could lead to them being susceptible to HTN. We explore how such evolutionary factors could impact the implementation of precision medicine in HTN. Finally, in order to ensure the success of precision medicine in HTN, we call for more initiatives to understand the genetic architecture within and between diverse populations with ancestry from different parts of the world, and to precisely classify the intermediate phenotypes of HTN.

Genetic association of left ventricular mass assessed by M-mode and two-dimensional echocardiography

BACKGROUND

Left ventricular mass offers prognostic information for assessing cardiovascular disease risk. M-mode and two-dimensional (2D) echocardiographically-derived left ventricular mass values have shown high accuracy and reproducibility; however, no studies to date have compared left ventricular mass genetic association findings on the basis of both the methods. The aim of this study was to compare associations of single-nucleotide polymorphisms (SNPs) from genome-wide association study analyses of left ventricular mass using both methods in the same cohort.

METHODS AND RESULTS

Left ventricular mass was determined using 2D and M-mode echocardiography in 711 patients (390 women); SNP genotype data were obtained using the Genome-wide Human SNP Array 6.0. Genome-wide association study analyses were performed to obtain panels of SNPs associated with left ventricular mass and left ventricular mass index. The unindexed left ventricular mass showed excellent agreement [M-mode: 170 ± 47 vs. 2D: 178 ± 56 g; intraclass correlation coefficient 0.929 (95% confidence interval 0.932, 0.909)]. The presence of left ventricular hypertrophy based on M-mode and 2D-derived left ventricular mass index values showed moderate agreement (kappa = 0.49). Eleven SNPs showed suggestive association with at least two of the four left ventricular mass traits, with one SNP in CDH13 common to all four derived traits.

CONCLUSION

M-mode and 2D echocardiography left ventricular mass measurements in the same cohort identified suggestive genetic associations, both shared and unshared, suggesting common left ventricular mass biology underlying the two measures of left ventricular mass. The combined use of M-mode and 2D echo is a novel approach that may increase the yield of genetic association with left ventricular mass.

Complement 3 and metabolic syndrome induced by clozapine: a cross-sectional study and retrospective cohort analysis

Metabolic syndrome (MetS) is considered to be an adverse effect of long-term treatment with atypical antipsychotics, particularly clozapine. There is strong evidence that the activation of inflammatory pathways interferes with normal metabolism and contributes to the development of MetS. C3, which is an inflammation molecule, has been reported to be associated with MetS. Because C3 is a heritable trait, we accordingly hypothesized that the gene encoding C3 (C3) would be a candidate gene for inter-individual variation in clozapine-induced MetS. We recruited 576 schizophrenia patients taking clozapine and measured the serum levels of fasting metabolic parameters. We then examined C3 mRNA and genotyped seven polymorphisms in C3. The expression quantitative trait locus (eQTL) data available for tissues were extracted by the Genotype-Tissue Expression Portal. A total of 105 patients' medical records were retrospectively reviewed to obtain the metabolic parameters during the initial 2-year clozapine treatment. The relative expression levels of C3 mRNA in patients with MetS were significantly higher than in those without MetS (P=0.02). C3 single-nucleotide polymorphism (SNP) rs2277984 was marginally associated with MetS (allelic P=0.06, odds ratio=1.36, 95% confidence interval (CI): 1.07-1.72). We found a significant association of rs2277984 with fasting triglyceride (TG) levels (P=0.004). Further, eQTL analysis revealed that rs2277984 regulates C3 expression in the liver (P=0.002). Similar results were found in the retrospective cohort analysis. The receiver operating characteristic curve showed a significant effect of the rs2277984 G allele on the percentage change of TG levels, with an area under the curve of 0.71 (95% CI: 0.60-0.81). C3 is likely to enhance TG accumulation and to confer susceptibility to clozapine-induced MetS. The C3 SNP rs2277984 may be a potential biomarker for predicting MetS risk in patients receiving clozapine treatment.

Genetics of diastolic heart failure

Heart failure explains a large portion of heart diseases. Molecular mechanisms determining cardiac function, by inference dysfunction in heart failure, are incompletely understood, especially in the common (or congestive) systolic (SHF) and diastolic heart failure (DHF). Limited genome-wide association studies (GWASs) in humans are reported on SHF and no GWAS has been performed on DHF. Genetic analyses in a rodent model of true DHF, Dahl salt-sensitive (DSS) rats, have begun to unravel the genetic components determining diastolic function. Diastolic dysfunction of DSS rats can be ameliorated or even normalized by distinct quantitative trait loci (QTLs), designated as diastolic function/blood pressure QTLs (DF/BP QTLs), which also affect blood pressure (BP). However, an improvement in diastolic dysfunction is merely transitory from a single DF/BP QTL, despite a permanent lowering of BP. A long-term protection against diastolic dysfunction can be realized only through combining specific DF/BP QTLs. Moreover, the worsening diastolic dysfunction with age can also be reversed in a different combination of DF/BP QTLs. Thus, distinct genes in combinations must be involved in the physiological mechanisms ameliorating or reversing diastolic dysfunction. As not all the QTLs that influence BP can affect diastolic function, it is not BP reduction itself that restores diastolic function, but rather specific genes that are uniquely integrated into the pathways of blood pressure homeostasis as well as diastolic function. Thus, the elucidation of pathophysiological mechanisms causal to hypertensive diastolic dysfunction will not only provide new diagnostic tools, but also novel therapeutic targets and strategies in reducing, curing, and even reversing DHF.

Imputing observed blood pressure for antihypertensive treatment: impact on population and genetic analyses

BACKGROUND

Elevated blood pressure (BP), a heritable risk factor for many age-related disorders, is commonly investigated in population and genetic studies, but antihypertensive use can confound study results. Routine methods to adjust for antihypertensives may not sufficiently account for newer treatment protocols (i.e., combination or multiple drug therapy) found in contemporary cohorts.

METHODS

We refined an existing method to impute unmedicated BP in individuals on antihypertensives by incorporating new treatment trends. We assessed BP and antihypertensive use in male twins (n = 1,237) from the Vietnam Era Twin Study of Aging: 36% reported antihypertensive use; 52% of those treated were on multiple drugs.

RESULTS

Estimated heritability was 0.43 (95% confidence interval (CI) = 0.20-0.50) and 0.44 (95% CI = 0.22-0.61) for measured systolic BP (SBP) and diastolic BP (DBP), respectively. We imputed BP for antihypertensives by 3 approaches: (i) addition of a fixed value of 10/5mm Hg to measured SBP/DBP; (ii) incremented addition of mm Hg to BP based on number of medications; and (iii) a refined approach adding mm Hg based on antihypertensive drug class and ethnicity. The imputations did not significantly affect estimated heritability of BP. However, use of our most refined imputation method and other methods resulted in significantly increased phenotypic correlations between BP and body mass index, a trait known to be correlated with BP.

CONCLUSIONS

This study highlights the potential usefulness of applying a representative adjustment for medication use, such as by considering drug class, ethnicity, and the combination of drugs when assessing the relationship between BP and risk factors.

Hypothesis of the neuroendocrine cortisol pathway gene role in the comorbidity of depression, type 2 diabetes, and metabolic syndrome

Depression, type 2 diabetes (T2D), and metabolic syndrome (MetS) are often comorbid. Depression per se increases the risk for T2D by 60%. This risk is not accounted for by the use of antidepressant therapy. Stress causes hyperactivation of the hypothalamic–pituitary–adrenal (HPA) axis, by triggering the hypothalamic corticotropin-releasing hormone (CRH) secretion, which stimulates the anterior pituitary to release the adrenocorticotropin hormone (ACTH), which causes the adrenal secretion of cortisol. Depression is associated with an increased level of cortisol, and CRH and ACTH at inappropriately “normal” levels, that is too high compared to their expected lower levels due to cortisol negative feedback. T2D and MetS are also associated with hypercortisolism. High levels of cortisol can impair mood as well as cause hyperglycemia and insulin resistance and other traits typical of T2D and MetS. We hypothesize that HPA axis hyperactivation may be due to variants in the genes of the CRH receptors (CRHR1, CRHR2), corticotropin receptors (or melanocortin receptors, MC1R-MC5R), glucocorticoid receptor (NR3C1), mineralocorticoid receptor (NR3C2), and of the FK506 binding protein 51 (FKBP5), and that these variants may be partially responsible for the clinical association of depression, T2D and MetS. In this review, we will focus on the correlation of stress, HPA axis hyperactivation, and the possible genetic role of the CRHR1, CRHR2, MCR1–5, NR3C1, and NR3C2 receptors and FKBP5 in the susceptibility to the comorbidity of depression, T2D, and MetS. New studies are needed to confirm the hypothesized role of these genes in the clinical association of depression, T2D, and MetS.

Association of intercellular adhesion molecule 1 (ICAM1) with diabetes and diabetic nephropathy

Diabetes and diabetic nephropathy are complex diseases affected by genetic and environmental factors. Identification of the susceptibility genes and investigation of their roles may provide useful information for better understanding of the pathogenesis and for developing novel therapeutic approaches. Intercellular adhesion molecule 1 (ICAM1) is a cell surface glycoprotein expressed on endothelial cells and leukocytes in the immune system. The ICAM1 gene is located on chromosome 19p13 within the linkage region of diabetes. In the recent years, accumulating reports have implicated that genetic polymorphisms in the ICAM1 gene are associated with diabetes and diabetic nephropathy. Serum ICAM1 levels in diabetes patients and the icam1 gene expression in kidney tissues of diabetic animals are increased compared to the controls. Therefore, ICAM1 may play a role in the development of diabetes and diabetic nephropathy. In this review, we present genomic structure, variation, and regulation of the ICAM1 gene, summarized genetic and biological studies of this gene in diabetes and diabetic nephropathy and discussed about the potential application using ICAM1 as a biomarker and target for prediction and treatment of diabetes and diabetic nephropathy.

Common variation in the CD36 (fatty acid translocase) gene is associated with left-ventricular mass

AIMS

Genetic variation in the fatty acid translocase (CD36) gene has been shown in animal models to affect several risk factors for the development of left-ventricular hypertrophy, but this phenotype has not, thus far, been investigated in humans. We examined the relationship between common genetic polymorphisms in the CD36 gene and left-ventricular mass.

METHODS AND RESULTS

We studied a cohort of 255 families comprising 1425 individuals ascertained via a hypertensive proband. Seven single-nucleotide polymorphisms which together tagged common genetic variation in the CD36 gene were genotyped using a SEQUENOM MALDI-TOF instrument. There was evidence of association between the rs1761663 polymorphism in intron 1 of the CD36 gene and left-ventricular mass determined either by echocardiography (P=0.003, N=780) or electrocardiography (P=0.001, N=814). There was also association between rs1761663 genotype and body mass index (P<0.001, N=1354). Genotype was associated with between 2 and 8% differences in these phenotypes per allele. After adjustment for the effect of body mass index, there remained significant associations between genotype and left ventricular mass measured either by echo (P=0.017) or ECG (P=0.007).

CONCLUSIONS

Genotype at the rs1761663 polymorphism has independent effects both on body mass index and left-ventricular mass. Genes with such pleiotropic effects may be particularly attractive therapeutic targets for interventions to modify multiple risk factors for cardiovascular events.

Genetics of hypertension and cardiovascular disease and their interconnected pathways: lessons from large studies

Blood pressure (BP), hypertension (HT) and cardiovascular disease (CVD) are common complex phenotypes, which are affected by multiple genetic and environmental factors. This article describes recent genome-wide association studies (GWAS) that have reported causative variants for BP/HT and CVD/heart traits and analyzes the overlapping associated gene polymorphisms. It also examines potential replication of findings from the HyperGEN data on African Americans and whites. Several genes involved in BP/HT regulation also appear to be involved in CVD. A better picture is emerging, with overlapping hot-spot regions and with interconnected pathways between BP/HT and CVD. A systemic approach to full understanding of BP/HT and CVD development and their progression to disease may lead to the identification of gene targets and pathways for the development of novel therapeutic interventions.

The genetics of obesity and the metabolic syndrome

In this review, we discuss the genetic architecture of obesity and the metabolic syndrome, highlighting recent advances in identifying genetic variants and loci responsible for a portion of the variation in components of the metabolic syndrome, namely, adiposity traits, serum HDL and triglycerides, blood pressure, and glycemic traits. We focus particularly on recent progress from large-scale genome-wide association studies (GWAS), by detailing their successes and how lessons learned can pave the way for future discovery. Results from recent GWAS coalesce with earlier work suggesting numerous interconnections between obesity and the metabolic syndrome, developed through several potentially pleiotropic effects. We detail recent work by way of a case study on the cadherin 13 gene and its relation with adiponectin in the HyperGEN and the Framingham Heart Studies, and its association with obesity and the metabolic syndrome. We provide also a gene network analysis of recent variants related to obesity and metabolic syndrome discovered through genome-wide association studies, and 4 gene networks based on searching the NCBI database.

T-cadherin is critical for adiponectin-mediated cardioprotection in mice

The circulating, adipocyte-secreted hormone adiponectin (APN) exerts protective effects on the heart under stress conditions. The receptors binding APN to cardiac tissue, however, have remained elusive. Here, we report that the glycosyl phosphatidylinositol–anchored cell surface glycoprotein T-cadherin (encoded by Cdh13) protects against cardiac stress through its association with APN in mice. We observed extensive colocalization of T-cadherin and APN on cardiomyocytes in vivo. In T-cadherin-deficient mice, APN failed to associate with cardiac tissue, and its levels dramatically increased in the circulation. Pressure overload stress resulted in exacerbated cardiac hypertrophy in T-cadherin-null mice and paralleled corresponding defects in mice lacking APN. During ischemia-reperfusion injury, the absence of T-cadherin increased infarct size similar to that in APN-null mice. Myocardial AMPK is a major downstream protective signaling target of APN. In both cardiac hypertrophy and ischemia-reperfusion models, T-cadherin was necessary for APN-dependent AMPK phosphorylation. In APN-null mice, recombinant adenovirus-expressed APN reduced exaggerated hypertrophy and infarct size and restored AMPK phosphorylation as previously reported. In contrast, rescue was ineffective in mice lacking T-cadherin in addition to APN. These data suggest that T-cadherin protects from stress-induced pathological cardiac remodeling by binding APN and activating its cardioprotective functions.

Relation of metabolic syndrome components to left ventricular mass in Mexican Americans versus non-Hispanic whites

Metabolic syndrome (MetS) is associated with increased risk for cardiovascular disease (CVD). Mexican Americans (MA) exhibit increases in CVD risk factors compared with non-Hispanic whites (NHW), but few data exist comparing the relation of MetS to subclinical CVD, for example, left ventricular (LV) mass. Asymptomatic subjects (104 MA and 101 NHW, 52.2% female, aged 48 ± 12 years) were studied by echocardiography (echo) and by blood and urine tests. Metabolic syndrome was defined based on the American Heart Association/National Heart, Lung, and Blood Institute definition. Echo LV mass was compared with the presence or absence of MetS and with the number of MetS components. Multiple linear regression also examined the association of MetS with LV mass adjusted for non-MetS risk factors. Left ventricular mass was lower in MA (145.5 ± 43.9 g) compared with NHW (160.2 ± 49.9 g) (P < .05), although this difference was attenuated after adjusting for MetS and other risk factors. Left ventricular mass was higher in those with vs without MetS in both MA and NHW men and women (P < .05 to P < .01). There was a significant (P < .001) graded increase in echo LV mass with increasing number of MetS components both in MA (108.3 to 153.8 g) and NHW (144.3 to 215.1 g). In multiple regression analysis, male sex and MetS remained independently associated (P < .0001) with LV mass; however, body mass index explained much of this association, indicating the strong association of obesity with LV mass. Mean LV mass in both MA and NHW adults was higher in those with vs without MetS and with increasing number of MetS components, with body mass index the principal component of MetS associated with LV mass. The prognostic significance of LV mass in persons with MetS requires further study.

Novel quantitative trait locus is mapped to chromosome 12p11 for left ventricular mass in Dominican families: the Family Study of Stroke Risk and Carotid Atherosclerosis

Background

Left ventricular mass (LVM) is an important risk factor for stroke and vascular disease. The genetic basis of LVM is unclear although a high heritability has been suggested. We sought to map quantitative trait loci (QTL) for LVM using large Dominican families.

Methods

Probands were selected from Dominican subjects of the population-based Northern Manhattan Study (NOMAS). LVM was measured by transthoracic echocardiography. A set of 405 microsatellite markers was used to screen the whole genome among 1360 subjects from 100 Dominican families who had complete phenotype data and DNA available. A polygenic covariate screening was run to identify the significant covariates. Variance components analysis was used to estimate heritability and to detect evidence for linkage, after adjusting for significant risk factors. Ordered-subset Analysis (OSA) was conducted to identify a more homogeneous subset for stratification analysis.

Results

LVM had a heritability of 0.58 in the studied population (p < 0.0001). The most significant evidence for linkage was found at chromosome 12p11 (MLOD = 3.11, empirical p = 0.0003) with peak marker at D12S1042. This linkage was significantly increased in a subset of families with the high average waist circumference (MLOD = 4.45, p = 0.0045 for increase in evidence for linkage).

Conclusion

We mapped a novel QTL near D12S1042 for LVM in Dominicans. Enhanced linkage evidence in families with larger waist circumference suggests that gene(s) residing within the QTL interact(s) with abdominal obesity to contribute to phenotypic variation of LVM. Suggestive evidence for linkage (LOD = 1.99) has been reported at the same peak marker for left ventricular geometry in a White population from the HyperGEN study, underscoring the importance of this QTL for left ventricular phenotype. Further fine mapping and validation studies are warranted to identify the underpinning genes.