OBJECTIVES: The C825T single nucleotide polymorphism of the G-protein beta3 (GNB3) has been implicated in susceptibility to essential hypertension, through the expression of an alternatively spliced truncated variant. In an effort to clarify earlier inconclusive results, we performed a meta-analysis of population-based case-control genetic association studies. METHODS: Random-effects methods were applied on summary data in order to combine the results of the individual studies. RESULTS: We identified in total 34 studies, including 14,094 hypertensive cases and 17,760 controls. The TT versus CC + CT contrast yielded an overall odds ratio (OR) of 1.08 [95% confidence interval (CI): 1.01, 1.15], the contrast of TT + CT versus CC, an OR of 1.17 (95% CI: 1.06, 1.29), whereas that of the T allele versus C allele yielded a non-significant OR of 1.05 (95% CI: 0.98, 1.13). There was moderate evidence for a publication bias in the latter two contrasts, which was eliminated after excluding studies not in Hardy-Weinberg equilibrium and those performed on non-normal populations (those with a diagnosis of diabetes, obesity and myocardial infarction). Subgroup analyses revealed that non-significant estimates arose from studies on Asian populations, as opposed to the Caucasian ones. Furthermore, the frequency of the T allele was lower in Caucasians and these populations were found to inhabit higher latitudes. CONCLUSIONS: The findings are in agreement with a recently proposed causal model for systolic blood pressure, which correlates it with the T allele and the absolute latitude. Further studies are needed in order to fully address questions about the aetiological mechanism of the particular association, as well as to study the effect in populations of African descent.
OBJECTIVES: The C825T single nucleotide polymorphism of the G-protein beta3 (GNB3) has been implicated in susceptibility to essential hypertension, through the expression of an alternatively spliced truncated variant. In an effort to clarify earlier inconclusive results, we performed a meta-analysis of population-based case-control genetic association studies. METHODS: Random-effects methods were applied on summary data in order to combine the results of the individual studies. RESULTS: We identified in total 34 studies, including 14,094 hypertensive cases and 17,760 controls. The TT versus CC + CT contrast yielded an overall odds ratio (OR) of 1.08 [95% confidence interval (CI): 1.01, 1.15], the contrast of TT + CT versus CC, an OR of 1.17 (95% CI: 1.06, 1.29), whereas that of the T allele versus C allele yielded a non-significant OR of 1.05 (95% CI: 0.98, 1.13). There was moderate evidence for a publication bias in the latter two contrasts, which was eliminated after excluding studies not in Hardy-Weinberg equilibrium and those performed on non-normal populations (those with a diagnosis of diabetes, obesity and myocardial infarction). Subgroup analyses revealed that non-significant estimates arose from studies on Asian populations, as opposed to the Caucasian ones. Furthermore, the frequency of the T allele was lower in Caucasians and these populations were found to inhabit higher latitudes. CONCLUSIONS: The findings are in agreement with a recently proposed causal model for systolic blood pressure, which correlates it with the T allele and the absolute latitude. Further studies are needed in order to fully address questions about the aetiological mechanism of the particular association, as well as to study the effect in populations of African descent.
Authors: May E Montasser; Donfeng Gu; Jing Chen; Lawrence C Shimmin; Charles Gu; Tanika N Kelly; Cashell E Jaquish; Treva Rice; Dabeeru C Rao; Jie Cao; Jichun Chen; De-Pei Liu; Paul K Whelton; Jiang He; James E Hixson Journal: Am J Hypertens Date: 2011-06-09 Impact factor: 2.689
Authors: Marcus Dörr; Carsten O Schmidt; Thomas Spielhagen; Alexa Bornhorst; Katharina Hentschel; Christina Franz; Klaus Empen; Thomas Kocher; Scott R Diehl; Heyo K Kroemer; Henry Völzke; Ralf Ewert; Stephan B Felix; Dieter Rosskopf Journal: Pharmacogenomics Date: 2010-09 Impact factor: 2.533
Authors: C Sun; J J Wang; F M Islam; S R Heckbert; R Klein; D S Siscovick; B E K Klein; T Y Wong Journal: J Hum Hypertens Date: 2009-01-15 Impact factor: 3.012
Authors: Tanika N Kelly; Treva K Rice; Dongfeng Gu; James E Hixson; Jing Chen; Depei Liu; Cashell E Jaquish; Lydia A Bazzano; Dongsheng Hu; Jixiang Ma; C Charles Gu; Jianfeng Huang; L Lee Hamm; Jiang He Journal: Am J Hypertens Date: 2009-07-02 Impact factor: 2.689
Authors: Ross D Feldman; Robert Gros; Qingming Ding; Yasin Hussain; Matthew R Ban; Adam D McIntyre; Robert A Hegele Journal: Br J Clin Pharmacol Date: 2014-12 Impact factor: 4.335