(Hypertension. 2000;35:555.)
© 2000 American Heart Association, Inc.
Scientific Contributions |
From Franz Volhard Clinic and Max Delbrück Center for Molecular Medicine, Medical Faculty of the Charité, Humboldt University of Berlin, Germany.
Correspondence to Friedrich C. Luft, Franz Volhard Clinic, Wiltberg Strasse 50, 13122 Berlin, Germany. E-mail luft{at}fvk-berlin.de
| Abstract |
|---|
|
|
|---|
Key Words: receptors, adrenergic, beta genetics hypertension, genetic twins blood pressure
| Introduction |
|---|
|
|
|---|
| Methods |
|---|
|
|
|---|
For linkage analysis, 3 microsatellite markers spanning 2.3 cM around the ß-2 locus on chromosome 5 (D5S413, D5S2090, and D5S2013) were analyzed with the use of the ABI genotyping system. Our techniques for zygosity testing and genotyping of microsatellites have been previously described.9 10 We genotyped the functionally relevant polymorphisms of the ß-2 AR by means of allele-specific polymerase chain reaction (PCR), as described elsewhere.6
Statistical analysis was conducted with the use of the SPSS program. Association analysis was based on quantitative measures. Blood pressure values and all other phenotypes were adjusted for sex and age by multiple linear regression. Cardiac dimensions were also adjusted for blood pressurerelated influences. Two different approaches were applied. Phenotypic values were compared between groups defined by their genotype with the use of ANOVA for all 4 polymorphisms independently. To increase the power for the association analysis, mean scores of pairs of MZ twins were included together with 1 randomly selected member of the DZ pairs.11 Because this approach might be prone to false-positive results as the result of population stratification, a second analysis based on sib-pair data was carried out.12 To test for association, structural equation modeling was used to obtain maximum likelihood estimates for the allelic effect, based on within-family and between-family differences. Significance was tested by computing nested models and comparing the log-likelihood between models. To test for stratification effects, both estimates of allelic effect are constrained to be equal. In the absence of stratification, both estimates were then set to zero. In the presence of stratification effects, setting only the within-family estimate to zero provides an unbiased test for true allelic association.
Haplotypes could not be constructed for all subjects. Furthermore, for polymorphisms in close linkage disequilibrium, not all informative combinations were present in the sample. To estimate the influence of single polymorphisms independent from each other, conditional analyses were carried out within subgroups differing for 1 polymorphism while being equally homozygous for a second polymorphism. This approach controlled for possible influences of the second polymorphism. For the association analysis we accepted a value of P<0.05 as significant.
For linkage analysis, twin pairs were selected and used
as ordinary sib-pairs but with the advantage of perfect age matching
and reduced environmental variation affecting the phenotype. We
assessed linkage for blood pressure as a continuous trait.
Analysis was done by using a structural equation modeling
approach,13 as implemented in the MX-package developed by
Neale.14 If the locus under study is a quantitative trait
locus (QTL), phenotypic similarity of sibs (measured by their
covariance) should increase with the number of alleles
shared IBD. For each sib-pair, the proportion of alleles IBD for
the given locus is calculated on the basis of parental
genotypes, with the use of a multipoint approach, as
implemented in MAPMAKER/SIBS.15 To test for a QTL effect,
the difference in model fit for models with and those without a QTL
effect is calculated as a
2 statistic. Testing
of multiple correlated phenotypes was used to verify results;
thus no adjustment for multiple testing was performed. Because we used
a candidate gene approach, we accepted a value of P<0.01 to
test for significant linkage in accordance with the criteria defined by
Lander and Kruglyak.16 Parameters of the
quantitative genetic models were estimated on the basis of
variance/covariance matrixes by structural equation
modeling17 with the use of the MX program.18
The variability of any given phenotype within a population can
be decomposed into genetic influences, environmental influences shared
by the twins within a family, and effects of random environment.
| Results |
|---|
|
|
|---|
|
We next performed allele-specific PCR for 4 polymorphisms resulting in an amino acid exchange. The gene frequencies are given in Table 2. The test for Hardy-Weinberg equilibrium gave evidence for an excess of homozygous individuals for polymorphisms in the 5' leader cistron and the first extracellular loop of the gene (-47C/T, Arg16/Gly, Gln27/Glu), whereas the polymorphism in the fourth transmembrane domain (Thr164/Ile) showed no deviation from expected frequencies. We performed an analysis to assess the interdependency of the polymorphisms, as shown in Table 3. The strongest linkage was found between polymorphisms in close spatial relation to one another, namely -47C/T, Arg16/Gly, and Gln27/Glu. Thr164/Ile was independent of -47C/T, Gln27/Glu, and Arg16/Gly.
|
|
Tables 4 and 5 show the results of the association analysis. Probability values for both ANOVA and maximum likelihood estimation are given, although the results with the 2 approaches were relatively similar. Arg16/Gly and Gln27/Glu showed strong associations to systolic blood pressure and norepinephrine levels as well as with septum and posterior wall thickness. Thr164/Ile was associated with recumbent systolic blood pressure (ANOVA) and all cardiac dimensions. The associations with cardiac dimensions for the polymorphisms remained significant, even when corrected for systolic blood pressure by multiple linear regression analysis (data not shown). Homozygous Ile164/Ile was observed in only 1 person. The biallelic polymorphism in the regulatory region was weakly associated with systolic blood pressure, norepinephrine levels, and septum thickness.
|
|
Table 6 shows the results of a conditional analysis for the Arg16/Gly and Gln27/Glu polymorphisms. In subjects homozygous for Gly/Gly, the Gln27/Glu polymorphism showed no effect on any of the phenotypes. In contrast, when we examined subjects with the Gln27/Glu polymorphism who were homozygous Gln/Gln, Arg16/Arg subjects differed from Gly16/Gly subjects for all 3 blood pressure values and for cardiac dimensions. These results favor the interpretation that the Arg16/Gly polymorphism is more likely to be responsible for the effects on the phenotypes.
|
| Discussion |
|---|
|
|
|---|
The significant deviation from Hardy-Weinberg equilibrium detected in our sample prompted us to test allele frequencies from other studies for the Arg16/Gly polymorphisms. In the Bergen Blood Pressure study6 we found the same excess of homozygous individuals as in this twin study, but because of sample size this deviation did not reach statistical significance. Another sample of healthy subjects5 showed a deviation from expected genotype frequencies pointing in the same direction. Interestingly, the hypertensive persons described by Kotanko et al4 also deviated significantly from Hardy-Weinberg equilibrium. The confirmation of excess homozygosity in independent samples makes us confident that this finding is neither a genotyping error nor an effect specific for twin subjects. At this point, we can only speculate that there may be some disadvantage in having 2 different variants of the ß-2 AR as the result of heterozygosity.
The Gly16 variant has been shown to represent a ß-2 AR, which is more likely to be downregulated in response to ß-2 agonists.5 The Gly16 variant was more common in hypertensive compared with normotensive African Caribbeans than the Arg16 variant and was also found to indicate a lesser propensity to vasodilatation in response to salbutamol infusion in normotensive white subjects from Austria.20 Lang et al21 observed that forearm blood flow responses to isoproterenol were markedly attenuated in normotensive black subjects compared with white subjects, indicating a blunting of vasodilation mediated by the ß-2 AR. In that study, the ß-2 AR alleles were not examined. Possibly, the Gly16 variant is associated with salt sensitivity; however, that hypothesis has not been prospectively tested.
Arg16 wild-type subjects had recumbent, sitting, and standing systolic blood pressures 7 to 8 mm Hg higher than homozygous Gly16 subjects, whereas heterozygous subjects were intermediate. Gly16 was also associated with a lesser cardiac septum thickness and lower norepinephrine levels. We have no explanation for the discrepancy between our observations and those reported earlier for African Caribbeans. Ethnic differences may be responsible and suggest that the hypertensive mechanisms may be quite different in black Africans and white subjects. Our conditional analysis gave support to the notion that the Arg16/Gly polymorphism is responsible for the effects on blood pressure and heart size rather than the Gln27/Glu polymorphism. Thus differences in Gln27/Glu distributions between the 2 populations would not serve to explain the discrepancy. Nevertheless, genotyping the African Caribbean population for other ß-2 AR polymorphisms would be of interest.
The Glu27/Gln variant was the second most common polymorphism we encountered. This variant has been associated with an increase in IgE concentrations in the serum of asthmatic families.22 In contrast to Arg16/Gly, the Glu27/Gln variant is apparently resistant to downregulation, whereas the combination mutant downregulates to the same extent as the Gly16 variant. The most functionally altered ß-2 AR is found in persons with a Thr-to-Ile switch at amino acid 164. This receptor exhibits a small decrease in binding affinity for agonists but a substantial decrease in basal and epinephrine-stimulated adenylyl cyclase activities caused by defective coupling of the receptor to the stimulatory G protein Gs and impaired agonist-promoted sequestration.23 24 In transgenic mice expressing either the wild-type Thr164 or the Ile164 mutation in the heart, the Ile164 mice displayed depressed contractile function compared with controls.25 Recently, Liggett et al26 were able to show that patients with heart failure who were heterozygous for the Ile164 mutation had a strikingly worse survival compared with patients with the wild-type Thr at this position. Liggett et al26 had no homozygous Ile164 subjects in their study. We encountered 1 such subject, who was clinically well. Ile164 may only become a relevant risk factor when persons develop congestive heart failure but may not necessarily be associated with conditions engendering heart failure.
We first observed the -47C/T polymorphism of the 5' leader cistron in the ß-2 AR gene, which results in either Arg or Cys being encoded at the terminal amino acid of the receptor peptide, in our subjects from the Bergen Blood Pressure Study.27 McGraw et al28 recently reported that the Cys variant results in increased ß-2 AR expression. Thus the -47C/T polymorphism may represent the genetic basis of variable physiological sympathetic responses or variations in cardiovascular phenotypes.
We cannot state for certain which polymorphism we examined is responsible for the association with blood pressure, cardiac dimensions, and norepinephrine concentrations, nor can we speculate whether or not the functional polymorphisms exert independent effects. Additional interactions between these polymorphisms may be elucidated by larger studies with complex haplotype analyses. Nevertheless, our study shows that at least 2 functionally relevant, ß-2 AR polymorphisms are associated with blood pressure, cardiac dimensions, and norepinephrine levels in normal healthy dizygotic twin subjects. Furthermore, the ß-2 AR gene locus is a QTL for these variables in normal humans. Finally, our study suggests that the Gly16 rather than the Arg16 variant is associated with lower blood pressure and a lesser risk to develop hypertension in white subjects. Longitudinal outcome studies incorporating haplotype analyses will be elucidative in this regard.
| Acknowledgments |
|---|
Received August 27, 1999; first decision September 27, 1999; accepted October 8, 1999.
| References |
|---|
|
|
|---|
-2 and ß-2 adrenoceptors in salt-sensitive
hypertension: an hypothesis. Life Sci. 1989;45:20612076.[Medline]
[Order article via Infotrieve]
2c10 adrenergic receptor genotype. Hypertension. 1996;27:12101215.This article has been cited by other articles:
![]() |
J. H. Eisenach, D. R. Schroeder, T. L. Pike, C. P. Johnson, W. G. Schrage, E. M. Snyder, B. D. Johnson, V. D. Garovic, S. T. Turner, and M. J. Joyner Dietary sodium restriction and {beta}2-adrenergic receptor polymorphism modulate cardiovascular function in humans J. Physiol., August 1, 2006; 574(3): 955 - 965. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. Gu, S. Su, D. Ge, S. Chen, J. Huang, B. Li, R. Chen, and B. Qiang Association Study With 33 Single-Nucleotide Polymorphisms in 11 Candidate Genes for Hypertension in Chinese Hypertension, June 1, 2006; 47(6): 1147 - 1154. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. C. Poole, H. Snieder, H. C. Davis, and F. A. Treiber Anger suppression and adiposity modulate association between ADRB2 haplotype and cardiovascular stress reactivity. Psychosom Med, March 1, 2006; 68(2): 207 - 212. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. L. Kirstein and P. A. Insel Autonomic Nervous System Pharmacogenomics: A Progress Report Pharmacol. Rev., March 1, 2004; 56(1): 31 - 52. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. H. Eisenach, A. M. McGuire, R. M. Schwingler, S. T. Turner, and M. J. Joyner The Arg16/Gly {beta}2-adrenergic receptor polymorphism is associated with altered cardiovascular responses to isometric exercise Physiol Genomics, February 13, 2004; 16(3): 323 - 328. [Abstract] [Full Text] [PDF] |
||||
![]() |
W J Yang, J F Huang, C L Yao, Z J Fan, D L Ge, W Q Gan, G Y Huang, R T Hui, Y Shen, B Q Qiang, et al. Evidence for linkage and association of the markers near the LPL gene with hypertension in Chinese families J. Med. Genet., May 1, 2003; 40(5): e57 - 57. [Full Text] [PDF] |
||||
![]() |
M. Castellano, F. Rossi, M. Giacche, C. Perani, F. Rivadossi, M. L. Muiesan, M. Salvetti, M. Beschi, D. Rizzoni, and E. Agabiti-Rosei {beta}2-Adrenergic Receptor Gene Polymorphism, Age, and Cardiovascular Phenotypes Hypertension, February 1, 2003; 41(2): 361 - 367. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Tomaszewski, N. J.R. Brain, F. J. Charchar, W. Y.S. Wang, B. Lacka, S. Padmanabahn, J. S. Clark, N. H. Anderson, H. V. Edwards, E. Zukowska-Szczechowska, et al. Essential Hypertension and {beta}2-Adrenergic Receptor Gene: Linkage and Association Analysis Hypertension, September 1, 2002; 40(3): 286 - 291. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Zaugg, M. C. Schaub, T. Pasch, and D. R. Spahn Modulation of {beta}-adrenergic receptor subtype activities in perioperative medicine: mechanisms and sites of action Br. J. Anaesth., January 1, 2002; 88(1): 101 - 123. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Tank, A. Diedrich, C. Schroeder, M. Stoffels, G. Franke, A. M. Sharma, F. C. Luft, and J. Jordan Limited Effect of Systemic {beta}-Blockade on Sympathetic Outflow Hypertension, December 1, 2001; 38(6): 1377 - 1381. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Bengtsson, M. Orho-Melander, O. Melander, U. Lindblad, J. Ranstam, L. Rastam, and L. Groop {beta}2-Adrenergic Receptor Gene Variation and Hypertension in Subjects With Type 2 Diabetes Hypertension, May 1, 2001; 37(5): 1303 - 1308. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. Kato, T. Sugiyama, H. Morita, H. Kurihara, T. Sato, Y. Yamori, and Y. Yazaki Association Analysis of {beta}2-Adrenergic Receptor Polymorphisms With Hypertension in Japanese Hypertension, February 1, 2001; 37(2): 286 - 292. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. C. Luft Twins in Cardiovascular Genetic Research Hypertension, February 1, 2001; 37(2): 350 - 356. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Sauer, D. Lechner, K. Berlin, C. Plancon, A. Heuermann, H. Lehrach, and I. G. Gut Full flexibility genotyping of single nucleotide polymorphisms by the GOOD assay Nucleic Acids Res., December 1, 2000; 28(23): e100 - e100. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Hypertension Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2000 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |