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Association between serotonin 2A receptor (HTR2A) genetic variations and risk of hypertension in a community-based cohort study

Abstract

Background

Hypertension is one of the risk factors for obesity-related cardiovascular diseases. We investigated whether genetic variations in serotonin 2A receptor (HTR2A) were associated with hypertension.

Methods

We carried out a cross-sectional study in cohorts A (Ansan-Ansung cohort, N = 6039) and B (Wonju-Pyengchang cohort, N = 7524). Several genetic variants in HTR2A including rs7330636, rs9590999, rs2183057, and rs4942595 were selected and genotyped.

Results

In hypertensive participants in cohort A, the baseline systolic blood pressure and body mass index were 141.80 ± 17.20 mg/dL and 24.48 ± 4.75 kg/m2, respectively, which were higher than in those without hypertension (p < 0.001). rs4942595TC genotype was associated with hypertension in cohort A (OR = 0.739), after adjusting for variables. Subjects with rs4942578AA genotype had a decreased risk of hypertension after adjusting for clinical factor (OR = 0.735) in cohort B, and an elevated risk of hypertension in cohort A (OR = 1.562). The logistic regression analysis showed that participants with rs4941573TC genotype were 1.327 times more likely to have a higher blood pressure than those with TT genotype (95% CI 1.101–1.599) in cohort B. Whereas, the OR for developing hypertension in subjects with rs17069883CC genotype compared to those with AA genotype was 1.447 (95% CI 1.018–2.056; p for trend = 0.040) in cohort A.

Conclusions

HTR2A genetic variations were associated with hypertension risk in our study.

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Background

Hypertension is considered not only a risk factor contributing to cardiovascular disease, but also a health issue in the community [1, 2]. The known risk factors for hypertension are age, low physical fitness, tobacco usage, unhealthy eating, and high salt consumption [1]. Hypertension is a complex disease affected by genes, environmental factors, and their interactions [3, 4].

Twin and family studies have shown that generally 20–60% of blood pressure variations could be ascribed to genetics [3, 5]. Until now, many candidate genes have been shown to be involved in the regulation of blood pressure and susceptibility of hypertension [3, 6, 7]. Moreover, several genome-wide association studies demonstrated multiple susceptibility loci, associated with hypertension and blood pressure [8, 9].

Among the physiological factors for regulating blood pressure, a neurotransmitter and hormone serotonin (5-hydroxytryptamine, 5-HT) were considered. Its precise function in normal or altered blood pressure is unclear, likely because of the complex events of blood 5-HT in vitro [10, 11]. The association of serotonin and development of hypertension was investigated by the blood platelets, which served as a primary storage location, and were easily accessible source of serotonin [10]. Blood platelet serotonin 2A receptor (HTR2A, also known as 5-HTR2A), regulates platelet activation and serotonin release; whereas 5-HTR2A located in vascular smooth muscle, endothelial cells, and cardiomyocytes regulate blood pressure and heart rate [12]. HTR2A encodes the 5HT2a receptor, which is expressed in the peripheral vasculature, and is involved in hypertension due to its vasoconstrictive effect [3, 13].

Recent studies suggest that genetic variants in the HTR2A gene may be associated with hypertension [14], and abdominal obesity [15, 16]. However, no associations were described between HTR2A genetic variations and hypertension in smaller case control studies in Chinese or Japanese subjects [17, 18]. We investigated whether genetic variations of HTR2A were associated with the risk of hypertension in two different community-based cohorts.

Methods

Study population

This study was performed with individuals from a community-based cohort (the Ansan-Ansung and Wonju-Pyengchang cohort) within the Korean Genome Epidemiology Study (KoGES). The Ansan-Ansung cohort is a longitudinal survey supported by the Korean government (Korean National Research Institute of Health, Korean Centers for Disease Control and Prevention, and the Ministry of Health and Welfare), to examine the genetic and environmental factors of chronic disease in Koreans [19,20,21]. Korean adults was recruited from the following two sites: Ansung and Ansan, which is a rural district with roughly 190,000 and 693,000 residents, respectively [22]. A total of 10,038 adults (5018 from Ansung and 5020 from Ansan) had a baseline health examination at the Ajou University Medical Center and the Korea University Ansan Hospital from June 2001 to January 2003. Follow-up surveys were performed biennially [22]. Additionally, all adults residing in rural areas of Wonju and Pyengchang in South Korea, where demographic changes are uncommon, participated in the study [23,24,25]. The study protocol was approved by the Institutional Review Board of Wonju Christian Hospital and Ajou University Medical Center, and the Korea University Ansan Hospital. All participants provided written informed consent. We excluded the participants with incomplete data and without the result of sequencing in HTR2A gene (Figs. 1 and 2). In total, 6039 participants (cohort A) and 7524 (cohort B) were eligible for this study. Hypertension was defined as a systolic blood pressure (SBP) ≥ 140 mmHg, and/or diastolic blood pressure (DBP) ≥ 90 mmHg, and/or current treatment with antihypertensive medications. All the participants were examined after fasting.

Fig. 1
figure 1

Flowchart showing the final selection in cohort A. KOGES, The Korean Genome and Epidemiology study

Fig. 2
figure 2

Flowchart showing the final selection in cohort B. KOGES, The Korean Genome and Epidemiology study

Anthropometric and laboratory measurements

Anthropometric indices including the body mass index (BMI), smoking status, regular physical exercise and several other parameters were investigated. The waist circumference was obtained using a tape measure (SECA-200, SECA, Hamburg, Germany). Systolic (SBP) and diastolic blood pressure (DBP) were measured twice by a standardized mercury sphygmomanometer (Baumanometer, Copiague, New York). Blood sample was extracted from participants after fasting. Fasting glucose was estimated by a glucose oxidase-based assay. The serum concentrations of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides (TGs) were examined using the enzymatic calorimetric method (Advia 1650, Siemens, Tarrytown, New York). Alcohol and smoking habits were identified by self-questionnaires [26].

Sequencing and genotype

We analyzed several genetic variants in HTR2A gene. PCR primers were designed to amplify HTR2A fragments. PCR products were sequenced by a BigDye Terminator Cycle Sequencing Kit (version 3.1, ABI, Foster City, CA, USA), and an ABI 3730 × 1 automated sequencer (Applied Biosystems, Foster City, CA, USA). SNPs confirmed in the HTR2A gene were genotyped. Genomic DNA was drawn from 5 mL of peripheral venous blood using an isolation kit (QuickGene SP Kit DNA whole blood, Fujifilm, Tokyo, Japan). Genotyping was performed using the TaqMan fluorogenic 5′ nuclease assay (ABI) [27].

We evaluated the association between genetic variants in HTR2A and risk of hypertension in each cohort, however, some of them did not show the association of genetic variants of HTR2A and risk of hypertension. In cohort A and B, several single nucleotide polymorphisms (SNPs) which shown significant and non-significant associations of risk of hypertension were reported (e.g. rs7330636, rs9590999, rs2183057) in this study.

Statistical analysis

Group differences for categorical variables were analyzed using chi-square test, and the continuous variables were estimated by Student’s t-test. The association between genotype and the risk of hypertension was assessed using odds ratios (ORs) and 95% confidence intervals (CIs), from chi-square tests and logistic regression analyses. The results are shown as mean ± standard error range. The p-values for each genotype were calculated by ANOVA test. A p-value with three decimal places was considered as statistically significant difference between no hypertension and hypertensive individuals. All analyses were determined using SPSS software, version 23.0 (SPSS Inc., Chicago, IL, USA). We adjusted for age, gender, smoking status, alcohol consumption and regular exercise in Model 1. Model 2 was adjusted for Model 1 and systolic blood pressure, total cholesterol and baseline body mass index, additionally.

Results

Characteristics of the study population according to the genotype of HTR2A

Characteristics of the population are shown in Table 1. Total 1418 subjects, who developed hypertension in cohort A, were aged 61.59 ± 6.12 years, and 46.8% (n = 664) of the total population were men. In the participants who developed hypertension in cohort B, the baseline SBP and fasting glucose levels were 140.06 ± 16.21 mmHg and 91.18 ± 30.71 mg/dL, respectively, which were higher than in those without hypertension (p < 0.001) (Table 1).

Table 1 Demographic characteristics of study population in cohort A and B

The genotype frequency of the studied loci is shown in Table 2. Genotype frequencies for all SNPs were in accordance with the Hardy-Weinberg equilibrium. Distribution of HTR2A rs2183057 genotype frequencies differed significantly between patients with or without hypertension. We observed a statistically significant increase in rs17069883CC genotype frequency in the group of patients with hypertension (23.3 vs. 19.3% in no hypertension group, p = 0.041), and a decrease in the number of rs4942595TC genotype heterozygotes in no hypertension group (47.1 vs. 53.1%, p = 0.041) (Table 2).

Table 2 Distribution of HTR2A genetic variations according to development of hypertension

The analysis of the data showed that carriers of rs7330636GA genotype had a lower risk of hypertension (OR = 0.644, 95% CI 0.437–0.949). The rs9590999CT genotype was associated with a decreased risk of hypertension (OR = 0.738 95% CI 0.551–0.989) in cohort A.

Subjects with rs4942578AA genotype had a decreased risk of hypertension after adjusting for clinical factor such as age and gender (OR = 0.735, p = 0.010) in cohort B, while, those with rs4942578AA genotype had an elevated risk of hypertension in cohort A (OR = 1.562, p = 0.020). The logistic regression analysis showed that participants with rs6313GA genotype were 1.365 times more likely to have a higher blood pressure than those with GG genotype (OR = 1.365; 95% CI 1.135–1.643; p = 0.003) in cohort B. Meanwhile, the odds ratio for developing hypertension in subjects with rs4941573TC genotype compared to those with TT genotype was 1.327 (95% CI 1.101–1.599; p for trend = 0.003) in cohort B (Table 3).

Table 3 Association of genetic polymorphisms of HTR2A gene and risk of hypertension

Whereas, rs1360020 and rs4941573 were not associated with an elevated risk of hypertension in cohort A (OR = 1.294 95% CI 0.908–1.843; OR = 1.218 95% CI 0.853–1.740) (Additional file 1: Table S2). Similarly, in cohort B, rs9316232 and rs1360020 were not associated with hypertension (p = 0.644 vs. p = 0.109) (Additional file 1: Table S3). We added adjusted p value and 95% confidential interval using multiple testing in Additional file 1: Tables S4, S5 and S6.

Discussion

Genetic variations in the serotonin 2A receptor gene were found to be associated with hypertension, in a community-based cohort study. Heterozygosity of T102C (rs6313) was associated with the blood pressure of 140/95 mmHg or higher, after adjustment for demographic covariates, such as age, gender and BMI. We identified an association between rs4942578 and rs6313, located in intron, and an elevated risk of hypertension.

Even though the mechanism of these connection exists uncertain, there is sufficient evidence available ascertaining that serotonin and serotonergic neurotransmission play a crucial role in cardiovascular regulation. Serotonin is a vasoactive monoamine, having amphibolic features demonstrated by its capability to induce either vasoconstriction and blood pressure enhancement [16, 28]. The human brain serotonergic inductivity in the hypothalamic-pituitary axis has been founded to increase with a decrease in resting blood pressure, and vice versa [16]. The blood pressure increasing effects of serotonin seem to be regulated by 5-HT2A receptor, while 5-HT1A receptor activation leads to sympathoinhibition and vasodilation [16]. Therefore, the HTR2A polymorphisms might play a role in the blood pressure regulation by serotonin, most likely by central mechanisms [14, 16] and recent studies suggested that polymorphic variations in HTR2A gene may be associated with hypertension [14].

Association between HTR2A SNPs and hypertension has been demonstrated in different ethnic groups [3, 18, 29, 30]. SNPs in several other genes have also been shown to be associated with hypertension such as A1161 polymorphism in angiotensin II type I receptor gene (AGTR1) and CYP11B2 gene polymorphism [14, 31,32,33]. The ß2 adrenergic receptor has been involved in the cause of hypertension owing to its role in vasodilatation, and a significant association was verified between the genetic polymorphism of ß2 adrenergic receptor and hypertension [14]. A meta-analysis has shown that RGS2 1891-1892del TC polymorphism and CYP4A11 T8590C polymorphism were associated with hypertension risk [3]. Also, the T58C promoter polymorphism of the bradykinin ß2 receptor gene was associated with hypertension in a Japanese population [14, 34]. Halder I et al. suggested that elevated blood pressure was associated with both -1438GG and 2416TT genotypes in HTR2A gene [16]. Similarly, we identified significant associations between genetic variants in HTR2A and risk of hypertension.

There are few strengths and limitations of our study. HTR2A gene polymorphisms were evaluated in two larger community-based cohorts compared to earlier studies, thus, the sample size was large enough to reach adequate statistical power. Moreover, association of HTR2A rs4942578 and rs4941573 polymorphisms with hypertension had not been investigated before. However, our findings may not be applicable to other populations, especially different ethnicities or with younger age. Additionally, we did not find sufficient studies to corroborate the association between HTR2A gene polymorphisms and the risk of hypertension found in this community-based cohort study. In cohort A, basic characteristics of populations included in the analyses and those excluded from the analyses were significantly different including age, gender, SBP, DBP, BMI, glucose, smoker and exercise and this might lead to selection bias.

Conclusions

We identified significant associations between several HTR2A SNPs and the risk of hypertension. Further studies are required to elucidate the in vivo effects and identify functional loci in order to explain a mechanistic basis for observed associations. Confirmatory studies are also warranted using larger sample size and definitive genetic methodologies, such as family-based designs or populations with genetic stratification, along with application of genomic control procedures.

Availability of data and materials

The datasets generated and/or analyzed during the current study are available in the the Korea National Institute of Health (KNIH) repository (http://www.nih.go.kr/NIH_NEW/main.jsp).

Abbreviations

BMI:

Body mass index

CI:

Confidence interval

DBP:

Diastolic blood pressure

HDL:

High-density lipoprotein

HTR2A :

Serotonin 2A receptor

KoGES-ARIRANG:

Korean Genome and Epidemiology Study on the Atherosclerosis Risk of Rural Areas in the Korean General Population

OR:

Odds ratio

SBP:

Systolic blood pressure

TG:

Triglyceride

WC:

Waist circumference

References

  1. Bui Van N, Pham Van Q, Vo Hoang L, Bui Van T, Nguyen Hoang N, Do Nam K, Chu DT. Prevalence and risk factors of hypertension in two communes in the Vietnam northern mountainous, 2017. Biomed Res Int. 2018;2018:7814195.

    Article  Google Scholar 

  2. Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: analysis of worldwide data. Lancet. 2005;365(9455):217–23.

    Article  Google Scholar 

  3. Zhang C, Wang L, Liao Q, Zhang L, Xu L, Chen C, Ye H, Xu X, Ye M, Duan S. Genetic associations with hypertension: meta-analyses of six candidate genetic variants. Genet Test Mol Biomarkers. 2013;17(10):736–42.

    Article  CAS  Google Scholar 

  4. Harrison M, Maresso K, Broeckel U. Genetic determinants of hypertension: an update. Curr Hypertens Rep. 2008;10(6):488–95.

    Article  CAS  Google Scholar 

  5. Kurtz TW, Spence MA. Genetics of essential hypertension. Am J Med. 1993;94(1):77–84.

    Article  CAS  Google Scholar 

  6. Halushka MK, Fan JB, Bentley K, Hsie L, Shen N, Weder A, Cooper R, Lipshutz R, Chakravarti A. Patterns of single-nucleotide polymorphisms in candidate genes for blood-pressure homeostasis. Nat Genet. 1999;22(3):239–47.

    Article  CAS  Google Scholar 

  7. Kohara K, Tabara Y, Nakura J, Imai Y, Ohkubo T, Hata A, Soma M, Nakayama T, Umemura S, Hirawa N, et al. Identification of hypertension-susceptibility genes and pathways by a systemic multiple candidate gene approach: the millennium genome project for hypertension. Hypertens Res. 2008;31(2):203–12.

    Article  CAS  Google Scholar 

  8. Levy D, Ehret GB, Rice K, Verwoert GC, Launer LJ, Dehghan A, Glazer NL, Morrison AC, Johnson AD, Aspelund T, et al. Genome-wide association study of blood pressure and hypertension. Nat Genet. 2009;41(6):677–87.

    Article  CAS  Google Scholar 

  9. Newton-Cheh C, Johnson T, Gateva V, Tobin MD, Bochud M, Coin L, Najjar SS, Zhao JH, Heath SC, Eyheramendy S, et al. Genome-wide association study identifies eight loci associated with blood pressure. Nat Genet. 2009;41(6):666–76.

    Article  CAS  Google Scholar 

  10. Sabolovic Rudman S, Mustapic M, Kosec V, Pivac N, Rudman F, Muck-Seler D. Serotonin risk factors for the development of hypertension in pregnancy. Arch Gynecol Obstet. 2015;291(4):779–85.

    Article  CAS  Google Scholar 

  11. Watts SW, Morrison SF, Davis RP, Barman SM. Serotonin and blood pressure regulation. Pharmacol Rev. 2012;64(2):359–88.

    Article  CAS  Google Scholar 

  12. Nagatomo T, Rashid M, Abul Muntasir H, Komiyama T. Functions of 5-HT2A receptor and its antagonists in the cardiovascular system. Pharmacol Ther. 2004;104(1):59–81.

    Article  CAS  Google Scholar 

  13. Hoyer D, Clarke DE, Fozard JR, Hartig PR, Martin GR, Mylecharane EJ, Saxena PR, Humphrey PP. International Union of Pharmacology classification of receptors for 5-hydroxytryptamine (serotonin). Pharmacol Rev. 1994;46(2):157–203.

    CAS  PubMed  Google Scholar 

  14. Liolitsa D, Powell JF, Prince M, Lovestone S. Association study of the 5-HT(2A) receptor gene polymorphism, T102C and essential hypertension. J Hum Hypertens. 2001;15(5):335–9.

    Article  CAS  Google Scholar 

  15. Rosmond R, Bouchard C, Bjorntorp P. 5-HT2A receptor gene promoter polymorphism in relation to abdominal obesity and cortisol. Obes Res. 2002;10(7):585–9.

    Article  CAS  Google Scholar 

  16. Halder I, Muldoon MF, Ferrell RE, Manuck SB. Serotonin receptor 2A (HTR2A) gene polymorphisms are associated with blood pressure, central adiposity, and the metabolic syndrome. Metab Syndr Relat Disord. 2007;5(4):323–30.

    Article  CAS  Google Scholar 

  17. Yu BN, Wang A, Zhou G, Zhang W, Hu DL, Li Q, He YJ, Zhou HH. T102C genetic polymorphism of the 5-HT2A receptor in Chinese hypertensive patients and healthy controls. Clin Exp Pharmacol Physiol. 2004;31(12):847–9.

    Article  CAS  Google Scholar 

  18. Yamamoto M, Jin JJ, Wu Z, Abe M, Tabara Y, Nagai T, Yamasaki E, Igase M, Kohara K, Miki T, et al. Interaction between serotonin 2A receptor and endothelin-1 variants in association with hypertension in Japanese. Hypertens Res. 2006;29(4):227–32.

    Article  CAS  Google Scholar 

  19. Lee Y, Park HC, Shin JH, Lim YH, Shin J, Park JK. Single and persistent elevation of C-reactive protein levels and the risk of atrial fibrillation in a general population: the Ansan-Ansung cohort of the Korean genome and epidemiology study. Int J Cardiol. 2018;277:240–6.

    Article  Google Scholar 

  20. Kim Y, Han BG. Cohort profile: the Korean genome and epidemiology study (KoGES) consortium. Int J Epidemiol. 2017;46(4):1350.

    Article  CAS  Google Scholar 

  21. Kim J, Yoon DW, Lee SK, Lee S, Choi KM, Robert TJ, Shin C. Concurrent presence of inflammation and obstructive sleep apnea exacerbates the risk of metabolic syndrome: a KoGES 6-year follow-up study. Medicine (Baltimore). 2017;96(7):e4488.

    Article  CAS  Google Scholar 

  22. Kim B, Choi HY, Kim W, Ahn C, Lee J, Kim JG, Kim J, Shin H, Yu JM, Moon S. The cut-off values of surrogate measures for insulin resistance in the Korean population according to the Korean genome and epidemiology study (KOGES). PLoS One. 2018;13(11):e0206994.

    Article  Google Scholar 

  23. Choi JR, Ahn SV, Kim JY, Koh SB, Choi EH, Lee GY, Jang YE. Comparison of various anthropometric indices for the identification of a predictor of incident hypertension: the ARIRANG study. J Hum Hypertens. 2018;32(4):294–300.

    Article  CAS  Google Scholar 

  24. Choi JR, Kim JY, Huh JH, Kim SH, Koh SB. Contribution of obesity as an effect regulator to an association between serum leptin and incident metabolic syndrome. Clin Chim Acta. 2018;487:275–80.

    Article  CAS  Google Scholar 

  25. Choi JR, Koh SB, Choi E. Waist-to-height ratio index for predicting incidences of hypertension: the ARIRANG study. BMC Public Health. 2018;18(1):767.

    Article  Google Scholar 

  26. Lee JH, Go TH, Lee SH, Kim J, Huh JH, Kim JY, Kang DR, Jeong S, Koh SB, Choi JR. Association between Serum Urate and Risk of Hypertension in Menopausal Women with XDH Gene. J Clin Med. 2019;8(5):738.

    Article  Google Scholar 

  27. Choi JR, Jang Y, Kim Yoon S, Park JK, Sorn SR, Park MY, Lee M. The impact of CDH13 polymorphism and statin administration on TG/HDL ratio in cardiovascular patients. Yonsei Med J. 2015;56(6):1604–12.

    Article  CAS  Google Scholar 

  28. Ramage AG. Central cardiovascular regulation and 5-hydroxytryptamine receptors. Brain Res Bull. 2001;56(5):425–39.

    Article  CAS  Google Scholar 

  29. Fu Z, Nakayama T, Sato N, Izumi Y, Kasamaki Y, Shindo A, Ohta M, Soma M, Aoi N, Sato M, et al. A haplotype of the CYP4A11 gene associated with essential hypertension in Japanese men. J Hypertens. 2008;26(3):453–61.

    Article  CAS  Google Scholar 

  30. Shimodaira M, Nakayama T, Sato N, Aoi N, Sato M, Izumi Y, Soma M, Matsumoto K. Association of HSD3B1 and HSD3B2 gene polymorphisms with essential hypertension, aldosterone level, and left ventricular structure. Eur J Endocrinol. 2010;163(4):671–80.

    Article  CAS  Google Scholar 

  31. Rigat B, Hubert C, Alhenc-Gelas F, Cambien F, Corvol P, Soubrier F. An insertion/deletion polymorphism in the angiotensin I-converting enzyme gene accounting for half the variance of serum enzyme levels. J Clin Invest. 1990;86(4):1343–6.

    Article  CAS  Google Scholar 

  32. Bonnardeaux A, Davies E, Jeunemaitre X, Fery I, Charru A, Clauser E, Tiret L, Cambien F, Corvol P, Soubrier F. Angiotensin II type 1 receptor gene polymorphisms in human essential hypertension. Hypertension. 1994;24(1):63–9.

    Article  CAS  Google Scholar 

  33. Komiya I, Yamada T, Takara M, Asawa T, Shimabukuro M, Nishimori T, Takasu N. Lys(173) Arg and -344T/C variants of CYP11B2 in Japanese patients with low-renin hypertension. Hypertension. 2000;35(3):699–703.

    Article  CAS  Google Scholar 

  34. Mukae S, Aoki S, Itoh S, Nishio K, Iwata T, Ueda H, Geshi E, Fuzimaki T, Katagiri T. Promoter polymorphism of the beta2 bradykinin receptor gene is associated with essential hypertension. Jpn Circ J. 1999;63(10):759–62.

    Article  CAS  Google Scholar 

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Acknowledgements

Not applicable.

Funding

The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

This study was supported in part by a grant from the Korea Center for Disease Control and Prevention (2005-E71013–00, 2006-E71002–00, 2007-E71013–00, 2008-E71004–00, 2009-E71006–00, 2010-E71003–00).

This study was provided with bioresources from National Biobank of Korea, the Centers for Disease Control and Prevention, Republic of Korea (2017–009).

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017R1D1A3B03034119).

This research was also supported by the Medical Research Center Program (2017R1A5A2015369).

This work was supported (in part) by the Yonsei University Research Fund 2017.

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Contributions

All authors are responsible for the design of the work. JRC and SBK performed the data analysis and drafted the manuscript. MJ provided a critical review of the data analysis and manuscript. All authors read and approved for final manuscript.

Corresponding authors

Correspondence to Jung Ran Choi or Sang Baek Koh.

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This study was included human participants and human data, a statement on ethics approval and consent, and the name of the ethics committee that approved the study.

This study was approved by the Institutional Review Board of the Wonju Christian Hospital, Ajou University Medical Center, and the Korea University Ansan Hospital according to the Helsinki Declaration. All the participants provided informed written consent.

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Supplementary information

Additional file 1: Table S1.

Basic characteristics of participants included and excluded. Table S2. Non-significant association of genetic polymorphisms of HTR2A gene and risk of hypertension. Table S3. Non-significant association of genetic polymorphisms of HTR2A gene and risk of hypertension. Table S4. Distribution of HTR2A genetic variations according to development of hypertension. Table S5. Association of genetic polymorphisms of HTR2A gene and risk of hypertension. Table S6. Association of genetic polymorphisms of HTR2A gene and risk of hypertension.

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Choi, J.R., Jeon, M. & Koh, S.B. Association between serotonin 2A receptor (HTR2A) genetic variations and risk of hypertension in a community-based cohort study. BMC Med Genet 21, 5 (2020). https://doi.org/10.1186/s12881-019-0927-3

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