BACKGROUND: A recent genome-wide linkage study mapped blood pressure (BP)-related loci on human chromosome 1q and identified the regulator of G-protein signaling 5 (RGS5) as a candidate for regulation of BP. Thus, we assessed the relationship between RGS5 genetic polymorphisms and essential hypertension (EH) in Chinese. METHODS: A total of 906 patients with EH and 894 age- and gender-matched normotensive (NT) controls were enrolled. Sixteen single nucleotide polymorphisms (SNPs) in RGS5 were genotyped. RESULTS: There were no significant differences in the overall distributions of the genotypic and allelic frequencies for each SNPs between the two groups. However, in haplotype analysis, significant differences for the overall distributions were noted for four haplotypes constructed by five SNPs (rs12041294C/T, rs10917690A/G, rs10917695T/C, rs10917696T/C and rs2662774G/A), viz. H(2) (C-A-C-T-A) (p=0.038), H(5) (C-G-T-T-G) (p=0.001), H(6) (T-G-C-T-A) (p=0.021) and H(12) (T-A-T-T-G) (p=0.023). Serum concentrations of high- and low-density lipoprotein cholesterol showed significant associations with haplotypes revealed by a global test (p=0.0001 and 0.0309). CONCLUSIONS: Multiple SNPs in combination in RGS5 may confer risk for hypertension. Our results also lend support for the effect of RGS5 SNPs on lipid metabolism. Further studies are warranted to find the causal SNPs in RGS5 for EH.
BACKGROUND: A recent genome-wide linkage study mapped blood pressure (BP)-related loci on human chromosome 1q and identified the regulator of G-protein signaling 5 (RGS5) as a candidate for regulation of BP. Thus, we assessed the relationship between RGS5 genetic polymorphisms and essential hypertension (EH) in Chinese. METHODS: A total of 906 patients with EH and 894 age- and gender-matched normotensive (NT) controls were enrolled. Sixteen single nucleotide polymorphisms (SNPs) in RGS5 were genotyped. RESULTS: There were no significant differences in the overall distributions of the genotypic and allelic frequencies for each SNPs between the two groups. However, in haplotype analysis, significant differences for the overall distributions were noted for four haplotypes constructed by five SNPs (rs12041294C/T, rs10917690A/G, rs10917695T/C, rs10917696T/C and rs2662774G/A), viz. H(2) (C-A-C-T-A) (p=0.038), H(5) (C-G-T-T-G) (p=0.001), H(6) (T-G-C-T-A) (p=0.021) and H(12) (T-A-T-T-G) (p=0.023). Serum concentrations of high- and low-density lipoprotein cholesterol showed significant associations with haplotypes revealed by a global test (p=0.0001 and 0.0309). CONCLUSIONS: Multiple SNPs in combination in RGS5 may confer risk for hypertension. Our results also lend support for the effect of RGS5 SNPs on lipid metabolism. Further studies are warranted to find the causal SNPs in RGS5 for EH.
Authors: Hongliang Li; Chengwei He; Jinhua Feng; Yan Zhang; Qizhu Tang; Zhouyan Bian; Xue Bai; Heng Zhou; Hong Jiang; Scott P Heximer; Mu Qin; He Huang; Peter P Liu; Congxin Huang Journal: Proc Natl Acad Sci U S A Date: 2010-07-19 Impact factor: 11.205
Authors: Mezbah U Faruque; Guanjie Chen; Ayo Doumatey; Hanxia Huang; Jie Zhou; Georgia M Dunston; Charles N Rotimi; Adebowale A Adeyemo Journal: J Hypertens Date: 2011-10 Impact factor: 4.844
Authors: Mu Qin; He Huang; Teng Wang; He Hu; Yu Liu; Yongwei Gu; Hong Cao; Hongliang Li; Congxin Huang Journal: PLoS One Date: 2012-11-05 Impact factor: 3.240
Authors: Jingyao Dai; Jian Gu; Charles Lu; Jie Lin; David Stewart; David Chang; Jack A Roth; Xifeng Wu Journal: PLoS One Date: 2011-06-17 Impact factor: 3.240
Authors: Molly K Altman; Duy T Nguyen; Santosh B Patel; Jada M Fambrough; Aaron M Beedle; William J Hardman; Mandi M Murph Journal: Biochem Res Int Date: 2012-06-25