CLOCK基因3'UTR和外显子9多态性显示与北印度人群的原发性高血压密切相关。

IF 2.1 4区 医学 Q3 GENETICS & HEREDITY
Shreya Sopori, Kavinay Kavinay, Sonali Bhan, Shreya Saxena, Medha Medha, Rakesh Kumar, Arti Dhar, Audesh Bhat
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引用次数: 0

摘要

背景:高血压(HTN)是一种以持续收缩压≥140 mmHg和舒张压≥90 mmHg为特征的医学疾病。根据世卫组织的最新数据,全世界有超过12亿30-79岁的成年患者,HTN是一个主要的健康风险因素;更重要的是,46%的患者没有意识到这种情况。原发性高血压(EH),也称为原发性高血压,是主要亚型,其病因复杂,涉及遗传和非遗传因素。大多数生物体受到一天的明暗循环的影响,并通过一个被称为“生物钟”或“昼夜节律”的复杂时钟对这些变化作出反应。昼夜节律和血压之间的联系已经确立,许多研究支持昼夜节律基因突变/多态性在EH中的作用。迄今为止,没有任何印度人口的此类数据。方法:本病例对照研究在获得参与者知情同意后,对来自印度北部查谟地区的405例EH患者和505名健康对照者进行了研究。共选择3个单核苷酸变异,分别位于CLOCK基因(rs1801260和rs34789226)和BMAL1/ARNTL基因(rs6486121)。采用RFLP技术进行基因分型,应用SPSS和SNPStats软件进行统计学分析。结果:Logistic回归分析显示,CLOCK基因变异rs1801260 (T bbbbc 3'UTR)和rs34789226 (C > T外显子9)与EH的相关性具有统计学意义,而BMAL1/ARNTL内含子变异rs6486121 (C > T)与EH的相关性不显著。结论:这是第一个将昼夜节律基因多态性与EH联系在一起的印度人群。CLOCK基因3'UTR和外显子9多态性与EH的统计学显著相关,突出了该基因以及研究人群中其他昼夜节律通路基因在EH病因学中的潜在作用。此外,我们的研究还揭示了某些基因型使男性更容易患EH。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CLOCK gene 3'UTR and exon 9 polymorphisms show a strong association with essential hypertension in a North Indian population.

Background: Hypertension (HTN) is a medical condition characterized by persistent systolic and diastolic blood pressures of ≥ 140 mmHg and ≥ 90 mmHg, respectively. With more than 1200 million adult patients aged 30-79 years worldwide according to the latest WHO data, HTN is a major health risk factor; more importantly, 46% of patients are unaware of this condition. Essential hypertension (EH), also known as primary hypertension, is the predominant subtype and has a complex etiology that involves both genetic and non-genetic factors. Majority of living organisms are influenced by the light and dark cycle of a day and respond to these changes through an intricate clock referred to as the "biological clock" or "circadian rhythm". The connection between circadian rhythm and blood pressure is well established, with many studies supporting the role of circadian rhythm gene mutation(s)/polymorphism(s) in EH. To date, no such data are available from any Indian population.

Methods: This case‒control study was conducted on 405 EH patients and 505 healthy controls belonging to the Jammu region of North India after an informed consent was obtained from the participants. A total of three single nucleotide variants, two in the CLOCK gene (rs1801260 and rs34789226) and one in the BMAL1/ARNTL gene (rs6486121), were selected for genotyping. Genotyping was performed via the RFLP technique, and the applicable statistical analyses were performed via the SPSS and SNPStats programs.

Results: Logistic regression analysis revealed a statistically significant association of both CLOCK gene variants rs1801260 (T > C 3'UTR) and rs34789226 (C > T Exon 9) and a nonsignificant association of the BMAL1/ARNTL intronic variant rs6486121 (C > T) with EH. The 3'UTR variant showed a statistically significant association under the codominant (p < 0.0001), dominant (p < 0.0001), and recessive (p = 0.0004) models. In contrast, the exon 9 variant showed a statistically significant negative association under the codominant (p = 0.003) and dominant (p = 0.015) models only. The rs6486121/rs1801260 and rs1801260/rs34789226/rs6486121 haplotypes showed significant differences in their distribution between cases and controls (p < 0.0001). Certain genotypes and haplotypes were found more common in hypertensive males than females.

Conclusion: This is a first report linking circadian rhythm gene polymorphisms with EH in any Indian population. The statistically significant association of the CLOCK gene 3'UTR and exon 9 polymorphisms with EH, highlight the potential role of this gene and probably other genes of the circadian pathway in the etiology of EH in the study population. Additionally, our study also revealed that certain genotypes are making males more susceptible to EH.

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来源期刊
BMC Medical Genomics
BMC Medical Genomics 医学-遗传学
CiteScore
3.90
自引率
0.00%
发文量
243
审稿时长
3.5 months
期刊介绍: BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
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