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Ya-fei LIU, Chun-xia WANG, Qin-qin XU, . Relationship between metabolic-related gene polymorphisms and hypertension incidence in Chinese women[J]. Chinese Journal of Public Health, 2018, 34(9): 1198-1203. DOI: 10.11847/zgggws1116347
Citation: Ya-fei LIU, Chun-xia WANG, Qin-qin XU, . Relationship between metabolic-related gene polymorphisms and hypertension incidence in Chinese women[J]. Chinese Journal of Public Health, 2018, 34(9): 1198-1203. DOI: 10.11847/zgggws1116347

Relationship between metabolic-related gene polymorphisms and hypertension incidence in Chinese women

  •   Objective  To explore the relationship between metabolic-related gene polymorphisms and hypertension in northern urban Han Chinese women and to provide a clue for identifying populations at high-risk of hypertension.
      Methods  From the enrollees of the Shandong Multi-Center Longitudinal Cohort for Health Management, we randomly selected 1 240 women aged ≥ 20 years and receiving two or more physical examinations at the Qianfoshan Hospital from September 2009 to December 2015 for a follow-up study. Questionnaire survey, physical examination, laboratory test, and genotyping were performed among the participants. Cox proportional hazard regression model was adopted to investigate the relationship between single nucleotide polymorphisms (SNPs) of metabolic-related genes and the incidence of hypertension.
      Results  The average age of the participants was 37.67 ± 10.48 years and the average follow-up time was 27.42 ± 14.77 months. During the follow-up, 127 participants developed hypertension and the incidence density was 45.47/1 000 person-years in the participants. Multivariate Cox analysis revealed that SNPs of 5 metabolic-related genes were associated with hypertension after adjusting for age, education, consumption of greasy food, menopause, number of abortion, family history of hypertension, body mass index, fasting plasma glucose, total cholesterol, triglyceride, and high-density lipoprotein. The hazard ratios (HRs) and 95 confidence interval (95% CI) of hypertension incidence for the three positively correlated genes were 1.448 (1.090 – 1.924) for ABCG2-rs2231142, 1.357 (1.052 – 1.751) for CDKN2A/B-rs10811661, and 1.455 (1.050 – 2.015) for CDKN2A/B-rs10811661; while, those for the two inversely correlated genes were 0.721 (0.525 – 0.990) for CYP17A1-NT5C2-rs11191548 and 0.754 (0.579 – 0.981) for CDKAL1-rs10946398, respectively.
      Conclusion  The study results suggest that polymorphisms of ABCG2-rs2231142, CDKN2A/B-rs10811661, FAM19A1-rs17047586, CYP17A1-NT5C2-rs11191548, and CDKAL1-rs10946398 are correlated with hypertension incidence among Chinese women.
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