Literature DB >> 8641726

Association of hypertension with beta2- and alpha2c10-adrenergic receptor genotype.

L P Svetkey1, P Z Timmons, O Emovon, N B Anderson, L Preis, Y T Chen.   

Abstract

The adrenergic receptors have been implicated in the pathogenesis of essential hypertension. We hypothesized that hypertension is associated with variants at the beta2-adrenergic receptor locus and at one of the alpha2-adrenergic receptor loci. In unrelated individuals, we measured untreated blood pressure and characterized each subject as hypertensive or normotensive. We then used genomic DNA to identify beta2- and alpha2c10-adrenergic receptor restriction fragment length polymorphisms. In 175 subjects (49 percent with hypertension, 55 percent black), both hypertension and race were associated with genotype at the beta2 locus (chi2 for hypertension = 11, P = .004, chi2 for race = 8.8, P = .012). The association with hypertension persisted in each race group separately (blacks only: chi2 = 9.6, P = .008; whites only; chi2 = 14.2, P = .001). This association persisted in a logistic model that controlled for race (P = .01). Genotype was also significantly associated with baseline systolic, diastolic, and mean arterial blood pressures (P = .05, .01, and .02, respectively). These data suggest that the beta2-adrenergic receptor gene is a candidate gene for hypertension in blacks and whites. We also genotyped subjects at the alpha2-adrenergic receptor coded on chromosome 10. There was no association between hypertension and genotype at the alpah2c10 locus in the total group or in blacks, but there was significant association in whites (chi2 = 6.7, P = .03). These data suggest that the beta2- and alph2c10-adrenergic receptor genes may contribute, in a race-specific manner, to the inheritance of essential hypertension. Linkage studies in related individuals are needed to confirm these findings.

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Year:  1996        PMID: 8641726     DOI: 10.1161/01.hyp.27.6.1210

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  19 in total

Review 1.  Genetic polymorphisms of adrenergic receptors.

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Review 2.  Cardiac genes and gene databases for cardiovascular disease genetics.

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3.  Genetic covariance between gamma-glutamyl transpeptidase and fatty liver risk factors: role of beta2-adrenergic receptor genetic variation in twins.

Authors:  Rohit Loomba; Fangwen Rao; Lian Zhang; Srikrishna Khandrika; Michael G Ziegler; David A Brenner; Daniel T O'Connor
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4.  Synopsis and data synthesis of genetic association studies in hypertension for the adrenergic receptor family genes: the CUMAGAS-HYPERT database.

Authors:  Georgios D Kitsios; Elias Zintzaras
Journal:  Am J Hypertens       Date:  2009-12-31       Impact factor: 2.689

5.  Beta-2 adrenoreceptor gene polymorphisms and sympathetic outflow in humans.

Authors:  Jens Tank; Karsten Heusser; Andre Diedrich; Dagmara Hering; Friedrich C Luft; Andreas Busjahn; Atakan Aydin; Janusz Limon; Krzysztof Narkiewicz; Jens Jordan
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6.  Complex haplotypes derived from noncoding polymorphisms of the intronless alpha2A-adrenergic gene diversify receptor expression.

Authors:  Kersten M Small; Kari M Brown; Carrie A Seman; Cheryl T Theiss; Stephen B Liggett
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7.  A maximal effort trial in obese women carrying the beta2-adrenoceptor Gln27Glu polymorphism.

Authors:  T Macho-Azcárate; J Calabuig; A Martí; J A Martínez
Journal:  J Physiol Biochem       Date:  2002-06       Impact factor: 4.158

8.  Novel human alpha1a-adrenoceptor single nucleotide polymorphisms alter receptor pharmacology and biological function.

Authors:  Beilei Lei; Daniel P Morris; Michael P Smith; Laura P Svetkey; Mark F Newman; Jerome I Rotter; Thomas A Buchanan; Stephen M Beckstrom-Sternberg; Eric D Green; Debra A Schwinn
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Review 9.  The role of beta(2)-adrenergic receptor variation in human hypertension.

Authors:  M S Bray; E Boerwinkle
Journal:  Curr Hypertens Rep       Date:  2000-02       Impact factor: 5.369

Review 10.  Genetics of hypertension. Therapeutic implications.

Authors:  S O'Byrne; M Caulfield
Journal:  Drugs       Date:  1998-08       Impact factor: 9.546

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