Literature DB >> 24535879

Association of a CYP4A11 polymorphism and hypertension in the Mongolian and Han populations of China.

J Q Liang1, M R Yan2, L Yang2, Q Suyila2, H W Cui2, X L Su3.   

Abstract

Human cytochrome P450 4A11 (CYP4A11) plays a role in the regulation of blood pressure through the conversion of arachidonic acid into 20-hydroxyeicosatetraenoic acid (20-HETE). We therefore investigated the association between a CYP4A11 polymorphism (rs9333025) with hypertension in the Mongolian and Han ethnic groups. We studied 514 Mongolians in a pastoral area, including 201 hypertension patients and 313 normotensive controls, and 524 Han individuals in an urban area, including 215 hypertension patients and 309 normotensive controls. Genotyping was performed using polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP). Genotype, allele, and dominant inheritance differed significantly between the Mongolian and Han populations (P = 0.006, P = 0.002, and P = 0.003, respectively). Significant differences were also observed in these factors when considering only males (P = 0.001, P = 0.003, and P = 0.001, respectively). For the Han population, recessive inheritance differed significantly between hypertension patients and controls and between male patients and controls (P = 0.005 and P = 0.049, respectively). The genotypic, allelic, and dominant frequencies differed significantly between hypertension patients in both populations (P = 0.019, P = 0.035, and P = 0.024, respectively). The genotypic frequency in Mongolian male patients was significantly different from that in Han male patients (P = 0.009). Higher body mass index, triglycerides, and lower high-density lipoprotein were associated with increased risk of developing hypertension in the Han population. The GG genotype was in higher frequency in the Mongolian population, indicating that it is a high risk factor for hypertension. Mongolian men were at higher risk of developing hypertension.

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Year:  2014        PMID: 24535879     DOI: 10.4238/2014.January.21.20

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  8 in total

1.  Cytochrome 4A11 Genetic Polymorphisms Increase Susceptibility to Ischemic Stroke and Associate with Atherothrombotic Events After Stroke in Chinese.

Authors:  Biao Zhang; Xingyang Yi; Chun Wang; Duanxiu Liao; Jing Lin; Lifen Chi
Journal:  Genet Test Mol Biomarkers       Date:  2015-03-03

Review 2.  Arachidonic acid monooxygenase: Genetic and biochemical approaches to physiological/pathophysiological relevance.

Authors:  Jorge H Capdevila; Wenhui Wang; John R Falck
Journal:  Prostaglandins Other Lipid Mediat       Date:  2015-05-15       Impact factor: 3.072

Review 3.  Molecular mechanisms and cell signaling of 20-hydroxyeicosatetraenoic acid in vascular pathophysiology.

Authors:  Fan Fan; Ying Ge; Wenshan Lv; Matthew R Elliott; Yoshikazu Muroya; Takashi Hirata; George W Booz; Richard J Roman
Journal:  Front Biosci (Landmark Ed)       Date:  2016-06-01

4.  Interaction Between CYP4F2 rs2108622 and CPY4A11 rs9333025 Variants Is Significantly Correlated with Susceptibility to Ischemic Stroke and 20-Hydroxyeicosatetraenoic Acid Level.

Authors:  Duanxiu Liao; Xingyang Yi; Biao Zhang; Qiang Zhou; Jing Lin
Journal:  Genet Test Mol Biomarkers       Date:  2016-03-09

Review 5.  20-HETE in the regulation of vascular and cardiac function.

Authors:  Petra Rocic; Michal Laniado Schwartzman
Journal:  Pharmacol Ther       Date:  2018-07-23       Impact factor: 12.310

Review 6.  Cytochrome P450 eicosanoids in hypertension and renal disease.

Authors:  Fan Fan; Yoshikazu Muroya; Richard J Roman
Journal:  Curr Opin Nephrol Hypertens       Date:  2015-01       Impact factor: 2.894

Review 7.  Molecular Functionality of Cytochrome P450 4 (CYP4) Genetic Polymorphisms and Their Clinical Implications.

Authors:  Yazun Bashir Jarrar; Su-Jun Lee
Journal:  Int J Mol Sci       Date:  2019-08-31       Impact factor: 5.923

8.  Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile.

Authors:  Zhi Chen; Hao Wu; Guohua Wang; Ye Feng
Journal:  BMC Nephrol       Date:  2016-10-18       Impact factor: 2.388

  8 in total

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