Familial Analysis of Epistatic and Sex-Dependent Association of Genes of the Renin-Angiotensin-Aldosterone System and Blood Pressure.

BACKGROUND: Renin-angiotensin-aldosterone system genes have been inconsistently associated with blood pressure, possibly because of unrecognized influences of sex-dependent genetic effects or gene-gene interactions (epistasis). METHODS AND RESULTS: We tested association of systolic blood pressure with single-nucleotide polymorphisms (SNPs) at renin (REN), angiotensinogen (AGT), angiotensin-converting enzyme (ACE), angiotensin II type 1 receptor (AGTR1), and aldosterone synthase (CYP11B2), including sex-SNP or SNP-SNP interactions. Eighty-eight tagSNPs were tested in 2872 white individuals in 809 pedigrees from the Victorian Family Heart Study using variance components models. Three SNPs (rs8075924 and rs4277404 at ACE and rs12721297 at AGTR1) were individually associated with lower systolic blood pressure with significant (P<0.00076) effect sizes ≈1.7 to 2.5 mm Hg. Sex-specific associations were seen for 3 SNPs in men (rs2468523 and rs2478544 at AGT and rs11658531 at ACE) and 1 SNP in women (rs12451328 at ACE). SNP-SNP interaction was suggested (P<0.005) for 14 SNP pairs, none of which had shown individual association with systolic blood pressure. Four SNP pairs were at the same gene (2 for REN, 1 for AGT, and 1 for AGTR1). The SNP rs3097 at CYP11B2 was represented in 5 separate pairs. CONCLUSIONS: SNPs at key renin-angiotensin-aldosterone system genes associate with systolic blood pressure individually in both sexes, individually in one sex only and only when combined with another SNP. Analyses that incorporate sex-dependent and epistatic effects could reconcile past inconsistencies and account for some of the missing heritability of blood pressure and are generally relevant to SNP association studies for any phenotype.

Genes controlling postural changes in blood pressure: comprehensive association analysis of ATP-sensitive potassium channel genes KCNJ8 and ABCC9.

Buffering of blood pressure during change of posture such as standing is controlled largely by the baroreflex. In our population-based Victorian Family Heart Study (VFHS), we previously demonstrated that, on average, systolic blood pressure (SBP) changes very little on standing; however, interindividual variation is substantial and shows familial aggregation, with approximately 25% of the variance attributable to genetic factors. Our genomewide linkage analysis suggests a region on chromosome 12p that harbors two strong candidate genes, KCNJ8 and ABCC9, encoding the channel-forming inward rectifier subunit Kir6.1 and the ATP-sensitive binding cassette SUR2B, respectively. These are key components of smooth muscle ATP-sensitive potassium (K(ATP)) channels, important regulators of arterial tone and blood flow and central to autonomic baroreceptor control of changes in total peripheral resistance. We performed a comprehensive association analysis of 47 tag single nucleotide polymorphisms (SNPs) spanning the KCNJ8 and ABCC9 gene regions with postural change in SBP (DeltaSBP). To augment power, we took a selective genotyping approach in which we compared allele and genotype frequencies between 150 unrelated individuals with high (positive) DeltaSBP (> or = 7 mmHg) and 150 unrelated individuals with low (negative) DeltaSBP (< or = -7 mmHg) drawn from the offspring generation (18-30 yr) of the VFHS. Association analyses showed that no SNPs demonstrated statistically significant differences in genotype frequencies between groups, particularly after adjustments for multiple testing. We conclude that sequence variants in KCNJ8 and ABCC9 are unlikely to contribute to variation in DeltaSBP. Other genes in the identified chromosome 12p region warrant investigation.

Comprehensive multi-stage linkage analyses identify a locus for adult height on chromosome 3p in a healthy Caucasian population.

There have been a number of genome-wide linkage studies for adult height in recent years. These studies have yielded few well-replicated loci, and none have been further confirmed by the identification of associated gene variants. The inconsistent results may be attributable to the fact that few studies have combined accurate phenotype measures with informative statistical modelling in healthy populations. We have performed a multi-stage genome-wide linkage analysis for height in 275 adult sibling pairs drawn randomly from the Victorian Family Heart Study (VFHS), a healthy population-based Caucasian cohort. Height was carefully measured in a standardised fashion on regularly calibrated equipment. Following genome-wide identification of a peak Z-score of 3.14 on chromosome 3 at 69 cM, we performed a fine-mapping analysis of this region in an extended sample of 392 two-generation families. We used a number of variance components models that incorporated assortative mating and shared environment effects, and we observed a peak LOD score of approximately 3.5 at 78 cM in four of the five models tested. We also demonstrated that the most prevalent model in the literature gave the worst fit, and the lowest LOD score (2.9) demonstrating the importance of appropriate modelling. The region identified in this study replicates the results of other genome-wide scans of height and bone-related phenotypes, strongly suggesting the presence of a gene important in bone growth on chromosome 3p. Association analyses of relevant candidate genes should identify the genetic variants responsible for the chromosome 3p linkage signal in our population.

Genome-wide linkage analysis of population variation in high-density lipoprotein cholesterol.

Lower plasma levels of high-density lipoprotein cholesterol (HDL-C) are associated with the metabolic syndrome (insulin resistance, obesity, hypertension) and higher cardiovascular risk. Recent association studies have suggested rare alleles responsible for very low HDL-C levels. However, for individual cardiovascular risk factors, the majority of population-attributable deaths are associated with average rather than extreme levels. Therefore, genetic factors that determine the population variation of HDL-C are particularly relevant. We undertook genome-wide and fine mapping to identify linkage to HDL-C in healthy adult nuclear families from the Victorian Family Heart Study. In 274 adult sibling pairs (average age 24 years, average plasma HDL-C 1.4 mmol/l), genome-wide mapping revealed suggestive evidence for linkage on chromosome 4 (Z score = 3.5, 170 cM) and nominal evidence for linkage on chromosomes 1 (Z = 2.1, 176 cM) and 6 (Z = 2.6, 29 cM). Using genotypes and phenotypes from 932 subjects (233 of the sibling pairs and their parents), finer mapping of the locus on chromosome 4 strengthened our findings with a peak probability (Z score = 3.9) at 169 cM. Our linkage data suggest that chromosome 4q32.3 is linked with normal population variation in HDL-C. This region coincides with previous reports of linkage to apolipoprotein AII (a major component of HDL) and encompasses the gene encoding the carboxypeptidase E, relevant to the metabolic syndrome and HDL-C. These findings are relevant for further understanding of the genetic determinants of cardiovascular risk at a population level.

Blood pressure QTLs identified by genome-wide linkage analysis and dependence on associated phenotypes.

Understanding genetic factors that contribute to population-wide variation in blood pressure is likely to benefit prevention and treatment of cardiovascular disease. The aim of the Victorian Family Heart Study is to identify genes for cardiovascular risk in 783 volunteer adult families recruited from the general population. In this preliminary study we sought to identify quantitative trait loci (QTLs) using a genome-wide linkage analysis in 274 adult sibling pairs of average age 24 yr selected without respect to blood pressure. We compared multipoint linkage results for carefully measured systolic (SBP) and diastolic (DBP) pressures before and after statistical adjustment for covariation with sex, oral contraception, age, height, and weight. The average BP was 123/67 (SD: 12/11) mmHg in males (n = 283) and 114/64 (SD: 10/9) mmHg in females (n = 265). Nonparametric Z-scores from multipoint GeneHunter II analysis were "suggestive" (3.1 or more) at four QTLs for SBP (chromosomes 1, 4, 16, and X) but at no QTLs for DBP. Most Z-scores were affected little by adjustment for covariates. However, the SBP QTL on chromosome 16 was obvious only for unadjusted pressures. This population-based quantitative trait analysis has identified more QTLs than any of the eight previous genome-wide scans for blood pressure. Considerable discrepancies between different studies may reflect the presence of false-positive results or real biological differences between populations.