Abstract —The objective of the present study was to assess whether the influences of gender, age, or measures of body size on blood pressure are homogeneous among genotypes of the insertion/deletion (I/D) polymorphism of the gene that codes for angiotensin-converting enzyme (ACE). We studied a sample of 1875 non-Hispanic white individuals (988 female and 887 male subjects) between 5 and 90 years of age from the general population of Rochester, Minn. When statistical interactions between effects associated with the I/D polymorphism and age, height, and weight were not considered, there was no evidence of a significant relationship between variation in blood pressure level or diagnostic category (hypertension versus normotension) and variation in ACE genotype in either gender. However, in females 5 to 29.9 years of age, the linear regression relationships of systolic blood pressure level with age and weight and of diastolic blood pressure level with age were significantly heterogeneous among ACE genotypes. For these concomitant traits, the rank order of expected blood pressure levels associated with each genotype reversed from low values of the concomitant, in which blood pressure was lower for I/D heterozygotes than for II or DD homozygous, to high levels of the concomitant, in which blood pressure was higher for I/D heterozygotes than for II or DD homozygotes. In male subjects 50 to 90 years of age, the logistic regression relationship of the probability of having hypertension with height was also heterogeneous among ACE genotypes; it was statistically significant in II homozygotes but not statistically significant in either I/D heterozygotes or DD homozygotes. Findings of this study are consistent with the conclusion that the influence of variation in the ACE gene on interindividual variation in blood pressure is dependent on contexts that are indexed by gender, age, and measures of body size.
Genome-Wide Linkage Analyses of Systolic Blood Pressure Using Highly Discordant Siblings
Background —Elevated blood pressure is a risk factor for cardiovascular, cerebrovascular, and renal diseases. Complex mechanisms of blood pressure regulation pose a challenge to identifying genetic factors that influence interindividual blood pressure variation in the population at large. Methods and Results —We performed a genome-wide linkage analysis of systolic blood pressure in humans using an efficient, highly discordant, full-sibling design. We identified 4 regions of the human genome that show statistical significant linkage to genes that influence interindividual systolic blood pressure variation (2p22.1 to 2p21, 5q33.3 to 5q34, 6q23.1 to 6q24.1, and 15q25.1 to 15q26.1). These regions contain a number of candidate genes that are involved in physiological mechanisms of blood pressure regulation. Conclusions —These results provide both novel information about genome regions in humans that influence interindividual blood pressure variation and a basis for identifying the contributing genes. Identification of the functional mutations in these genes may uncover novel mechanisms for blood pressure regulation and suggest new therapies and prevention strategies.
Positional Genomic Analysis Identifies the β
2
-Adrenergic Receptor Gene as a Susceptibility Locus for Human Hypertension
Background —After genome-wide linkage analyses of blood pressure levels, we resequenced 5 positional candidate genes in a linkage region on chromosome 5 and genotyped selected variants in several family samples from Rochester, Minn. Methods and Results —In a sample of 55 pedigrees containing ≥1 sibling-pair(s) discordant for systolic blood pressure, polymorphisms within the β 2 -adrenergic receptor gene (Arg16Gly, P =0.009) and the glutathione peroxidase 3 gene (−302G→A, P =0.037; −623A→C, P =0.013) were significantly related to blood pressure levels. In a second sample of 298 nuclear families (n=1283 individuals), the Arg16Gly polymorphism was significantly associated with diastolic blood pressure in family-based analyses ( P =0.016) and with both diastolic ( P =0.009) and mean arterial blood pressure ( P =0.038) in analyses of the parental generation only. Neither polymorphism in the glutathione peroxidase 3 gene was associated with blood pressure levels in this sample. An additional 291 families (n=1240 individuals) were added to the nuclear family sample, and the Gln27Glu polymorphism in the β 2 -adrenergic receptor gene was significantly associated with both systolic ( P =0.034) and mean arterial blood pressure ( P =0.035) in the parental generation of the combined 589 families. The frequencies of both the Gly16 and Glu27 alleles were higher in hypertensives than in normotensives (0.649 versus 0.604 and 0.490 versus 0.429, respectively), and the odds ratio for the occurrence of hypertension was 1.80 (95% confidence interval, 1.08 to 3.00; P =0.023) for the Glu27 allele. Conclusions —The results of this study provide support for further detailed investigations of the mechanistic pathways by which variations in the β 2 -adrenergic receptor gene may influence blood pressure levels.
Variation in the Region of the Angiotensin-Converting Enzyme Gene Influences Interindividual Differences in Blood Pressure Levels in Young White Males
Background —The renin-angiotensin system regulates blood pressure through its effects on vascular tone, renal hemodynamics, and renal sodium and fluid balance. Methods and Results —Using data from a large population-based sample of 1488 siblings having a mean age of 14.8 years and belonging to the youngest generation of 583 randomly ascertained three-generation pedigrees from Rochester, Minn, we carried out variance components–based linkage analyses to evaluate the contribution of variation in four renin-angiotensin system gene regions (angiotensinogen, renin, angiotensin I–converting enzyme, and angiotensin II receptor type 1) to interindividual variation in systolic, diastolic, and mean arterial pressure. We rejected the null hypothesis that allelic variation in the region of the angiotensin-converting enzyme ( ACE ) gene does not contribute to interindividual blood pressure variability. After conditioning on measured covariates, variation in this region accounted for 0%, 13% ( P =0.04), and 16% ( P =0.04) of the interindividual variance in systolic, diastolic, and mean arterial pressures, respectively. These estimates were even greater in a subset of subjects with a positive family history of hypertension (0%, 29% [ P =0.005], and 32% [ P <0.005], respectively). In sex-specific analyses, genetic variation in the region of the ACE gene significantly influenced interindividual blood pressure variation in males (37% for SBP [ P =0.03], 38% for DBP [ P =0.04], and 53% for MAP [ P <0.005]) but not in females. Conclusions —Although it is possible that variation in a gene near the ACE gene may explain the observed results, knowledge about the physiological involvement of ACE in blood pressure regulation supports the proposition that the ACE gene itself influences blood pressure variability in a sex-specific manner.
Sodium-lithium countertransport and probability of hypertension in Caucasians 47 to 89 years old.
The objectives of the present study were to determine whether sodium-lithium countertransport contributes to predicting the probability of having hypertension and to determine whether it does so after other predictor traits have been considered. We used logistic regression to model the relation between sodium-lithium countertransport and the probability of having hypertension, estimated by the prevalence of hypertension among 172 men and 252 women, aged 47-89 years, from the Caucasian population of Rochester, Minn. When sodium-lithium countertransport was the only predictor trait considered, it made a statistically significant contribution to prediction both in men (model chi(2)1df = 20.50, p < 0.001) and in women (model chi(2)1df = 16.69, p < 0.001). For each standard deviation increase in sodium-lithium counter-transport, the expected odds of having hypertension increased 2.25 times in men (95% confidence interval [CI], 1.44-3.51) and 1.77 times in women (95% CI, 1.32-2.37). When sodium-lithium countertransport was not considered, the other traits identified as predictors were age, body mass index, and plasma apolipoprotein CII and CII squared; plasma apolipoprotein AI was an additional predictor in women but not in men. When sodium-lithium countertransport was added to models that included the other predictors, it improved prediction both in men (increase in model chi(2)1df = 12.29, p < 0.001) and in women (increase in model chi(2)1df = 4.86, p < 0.027). Based on these complete models, when the other predictors remained at their mean values, each standard deviation increase in sodium-lithium countertransport increased the expected odds of having hypertension 2.06 times in men (95% CI, 1.31-3.22) and 1.48 times in women (95% CI, 1.04-2.21). These results establish that sodium-lithium countertransport provides information that is helpful in predicting the probability of having hypertension and is not reflected in other identified predictor traits.
Twenty-four-hour blood pressure profiles in normotensive sons of hypertensive parents.
We investigated whether blood pressures are higher in normotensive offspring of hypertensive parents than in normotensive offspring of normotensive parents outside the physician's office and, if so, whether these higher blood pressures are dependent on the level of dietary sodium intake. We compared 24-hour ambulatory blood pressure profiles between 11 normotensive sons of two hypertensive parents and 11 normotensive sons of two normotensive parents; profiles were recorded after 1 week of a low sodium diet (10 meq/day) and after 1 week of a high sodium diet (200 meq/day). The sons of hypertensive parents were on average 6 years older than the sons of normotensive parents (47 +/- 5 [SD] versus 41 +/- 4 years, p < 0.05). The shift from low to high sodium diet did not significantly change the magnitude of differences in office or ambulatory blood pressures between the groups (i.e., no group-by-diet interaction); thus, we assessed group effects by contrasting blood pressure means for each group pooled across diets. Age-adjusted office blood pressure was higher in sons of hypertensive parents than in sons of normotensive parents (116 +/- 7/80 +/- 6 versus 111 +/- 7/75 +/- 6 mm Hg; p = 0.020 for systolic and p = 0.003 for diastolic blood pressure).(ABSTRACT TRUNCATED AT 250 WORDS)
Distribution of sodium-lithium countertransport and blood pressure in Caucasians five to eighty-nine years of age.
Case-control studies suggest that increased erythrocyte sodium-lithium countertransport may predict increased susceptibility to the development of essential hypertension. To characterize interindividual variation in sodium-lithium countertransport and its relation to blood pressure levels in the general population, we studied 1,475 Caucasians between 5 and 89 years of age (711 males and 764 females) ascertained through 266 households with children in the schools of Rochester, Minnesota. Individuals who were taking antihypertensive agents or combinations of estrogen and progesterone were not included in the sample. A third-order polynomial regression on age accounted for only a small fraction of variability in sodium-lithium countertransport (2.8% in males, p less than 0.001; 2.1% in females, p less than 0.01), whereas a fourth-order regression on age accounted for a large proportion of variability in systolic blood pressure (45.7% in males, p less than 0.001; 52.5% in females, p less than 0.001) and diastolic blood pressure (39.8% in males, p less than 0.001; 33.0% in females, p less than 0.001). Mean sodium-lithium countertransport was higher in males than females at all ages; but the rank order of male and female means for systolic and diastolic blood pressure was age dependent. Positively skewed distributions for age-, height-, and weight-adjusted sodium-lithium countertransport in male and female cohorts between 5-19.9, 20-49.9, and 50-89.9 years of age were explained significantly better by postulating a mixture of two partially overlapping sodium-lithium countertransport distributions rather than a single normal distribution (p less than 0.01). Among men in the 20-49.9-year-old cohort, adjusted sodium-lithium countertransport values in the upper distribution were associated with higher systolic and diastolic blood pressure (mean +/- SD) than values in the lower distribution (for systolic blood pressure: 115 +/- 11 vs. 111 +/- 11 mm Hg, p less than 0.07; for diastolic blood pressure: 71.2 +/- 8.0 vs. 68.4 +/- 8.6 mm Hg, p less than 0.08). Among females in the 50-89.9-year-old cohort, adjusted sodium-lithium countertransport values in the upper distribution were associated with significantly greater diastolic blood pressure than values in the lower distribution (77 +/- 10 vs. 70 +/- 9 mm Hg, p less than 0.03).(ABSTRACT TRUNCATED AT 400 WORDS)
Genome-Wide Linkage Analysis Reveals Evidence of Multiple Regions That Influence Variation in Plasma Lipid and Apolipoprotein Levels Associated With Risk of Coronary Heart Disease
Abstract —Results of genome-wide linkage analyses to identify chromosomal regions that influence interindividual variation in plasma lipid and apolipoprotein levels in the Rochester, Minn, population are reported. Analyses were conducted for total cholesterol (total-C), triglycerides (TGs), high density lipoprotein cholesterol (HDL-C), apolipoprotein A-I, apolipoprotein A-II, apolipoprotein B, apolipoprotein C-II, apolipoprotein C-III, apolipoprotein E, the total-C/HDL-C ratio, and the TG/HDL-C ratio. Genotypes were measured for 373 genome-wide marker loci on 1484 individuals distributed among 232 multigeneration pedigrees sampled without regard to health status. LOD scores and estimates of additive genetic variance associated with map locations were obtained by using the variance-component method of linkage analysis. No evidence of linkage with genes influencing variation in age served as a negative control. Plasma apolipoprotein E levels and the apolipoprotein E gene served as a positive control (LOD score 4.20). Evidence (LOD score >2.00) was provided that was suggestive of a gene or genes on chromosomes 4 and 5 influencing variation in the apolipoprotein A-II level, on chromosome 12 influencing variation in the apolipoprotein A-I level, and on chromosome 17 influencing variation of total-C/HDL-C. These analyses provide new information about genomic regions in humans that influence interindividual variation in plasma lipid and apolipoprotein levels and serve as a basis for further fine-mapping studies to identify new genes involved in lipid metabolism.