Abstract
In this work, the associations of polymorphism of candidate genes of arterial hypertension with the development of severe preeclampsia (PE) in the population of the Central Chernozem region of Russia were studied. Genoty** of five polymorphic variants (rs1799945 of the HFE gene, rs8068318 of the TBX2 gene, rs1173771 of the AC025459.1 gene, rs932764 of the PLCE1 gene, rs167479 of the RGL3 gene) was performed in 217 women with severe PE and 235 pregnant women with moderate PE. It was revealed that the G allele and the GG genotype of the rs167479 polymorphic locus of the RGL3 gene were associated with the risk of severe PE according to allelic (OR = 1.35, рperm = 0.02), additive (OR = 1.36, рperm = 0.02), and recessive (OR = 1.61, рperm = 0.04) genetic models. It has been established that this polymorphic locus is localized in a functionally active region of the genome that performs the functions of enhancers and promoters in various organs and tissues, is an area of hypersensitivity to DNase-1 and a binding site with nine transcription regulatory factors, and is associated with the expression level of the CTC-510F12.3 gene in the pituitary gland. In addition, rs167479 identifies a missense mutation that leads to the substitution of the amino acid Pro162His in the RalGDS-like3 protein and has a predictor potential of “PROBABLY DAMAGING.”
Similar content being viewed by others
REFERENCES
Michalczyk, M., Celewicz, A., Celewicz, M., et al., The role of inflammation in the pathogenesis of preeclampsia, Mediators Inflammation, 2020, vol. 10, p. 3864941. https://doi.org/10.1155/2020/3864941
Gestational Hypertension and Preeclampsia: ACOG Practice Bulletin Summary, Number 222, Obstet. Gynecol., 2020, vol. 135, no. 6, pp. 1492—1495. https://doi.org/10.1097/AOG.0000000000003892
Serebrova, V.N., Trifonova, E.A., and Stepanov, V.A., Pregnancy as a factor of adaptive human evolution: the role of natural selection in the origin of preeclampsia, Russ. J. Genet., 2021, vol. 57, no. 1, pp. 23—35. https://doi.org/10.1134/S1022795421010142
Turbeville, H.R. and Sasser, J.M., Preeclampsia beyond pregnancy: long-term consequences for mother and child, Am. J. Physiol.: Renal Physiol., 2020, vol. 318, no. 6, pp. F1315—F1326. https://doi.org/10.1152/ajprenal.00071.2020
Chourdakis, E., Oikonomou, N., Fouzas, S., et al., Preeclampsia emerging as a risk factor of cardiovascular disease in women, High Blood Pressure Cardiovasc. Prev., 2021, vol. 28, no. 2, pp. 103—114. https://doi.org/10.1007/s40292-020-00425-7
Mendola, P., Mumford, S.L., Männistö, T.I., et al., Controlled direct effects of preeclampsia on neonatal health after accounting for mediation by preterm birth, Epidemiology, 2015, vol. 26, no. 1, pp. 17—26. https://doi.org/10.1097/EDE.0000000000000213
Khader, Y.S., Batieha, A., Al-Njadat, R.A., and Hijazi, S.S., Preeclampsia in Jordan: incidence, risk factors, and its associated maternal and neonatal outcomes, J. Matern. Fetal Neonatal Med., 2018, vol. 31, no. 6, pp. 770—776. https://doi.org/10.1080/14767058.2017.1297411
Nahum Sacks, K., Friger, M., Shoham-Vardi, I., et al., Prenatal exposure to preeclampsia as an independent risk factor for long-term cardiovascular morbidity of the offspring, Pregnancy Hypertens., 2018, vol. 13, pp. 181—186. https://doi.org/10.1016/j.preghy.2018.06.013
Nahum Sacks, K., Friger, M., Shoham-Vardi, I., et al., Long-term neuropsychiatric morbidity in children exposed prenatally to preeclampsia, Early Hum. Dev., 2019, vol. 130, pp. 96—100. https://doi.org/10.1016/j.earlhumdev.2019.01.016
Reshetnikov, E.A., Akulova, L.Y., Dobrodomova, I.S., et al., The insertion-deletion polymorphism of the ACE gene is associated with increased blood pressure in women at the end of pregnancy, J. Renin Angiotensin Aldosterone Syst., 2015, vol. 16, no. 3, pp. 623—632. https://doi.org/10.1177/1470320313501217
Severinova, O.V., Lokteva, T.I., Gureev, V.V., et al., The effect of arginase II selective inhibitors on the functional parameters of experimental animals in ADMA-like preeclampsia, J. Int. Pharm. Res., 2019, vol. 46, no. 4, pp. 272—275.
Vennou, K.E., Kontou, P.I., Braliou, G.G., and Bagos, P.G., Meta-analysis of gene expression profiles in preeclampsia, Pregnancy Hypertens., 2020, vol. 19, pp.52—60. https://doi.org/10.1016/j.preghy.2019.12.007
Reshetnikov, E.A., The rs34845949 polymorphism of the SASH1 gene is associated with the risk of preeclampsia, Nauchn. Rezul’t. Biomed. Issled., 2021, vol. 7, no. 1, pp. 44—55. https://doi.org/10.18413/2658-6533-2020-7-1-0-4
Golovchenko, O., Abramova, M., Ponomarenko, I., et al., Functionally significant polymorphisms of ESR1and PGR and risk of intrauterine growth restriction in population of Central Russia, Eur. J. Obstet. Gynecol. Reprod. Biol., 2020, vol. 253, pp. 52—57. https://doi.org/10.1016/j.ejogrb.2020.07.045
Galaviz-Hernandez, C., Sosa-Macias, M., Teran, E., et al., Paternal determinants in preeclampsia, Front. Physiol., 2019, vol. 9, p. 1870. https://doi.org/10.3389/fphys.2018.01870
Serebrova, V.N., Trifonova, E.A., and Stepanov, V.A., Evolutionary genetic analysis of the role of the CORO2A gene regulatory regions in the development of hereditary predisposition to preeclampsia in Russians and Yakuts, Nauchn. Rezul’t. Biomed. Issled., 2018, vol. 4, no. 3, pp. 38—48. https://doi.org/10.18413/2313-8955-2018-4-3-0-4
Reshetnikov, E., Ponomarenko, I., Golovchenko, O., et al., The VNTR polymorphism of the endothelial nitric oxide synthase gene and blood pressure in women at the end of pregnancy, Taiwan. J. Obstet. Gynecol., 2019, vol. 58, no. 3, pp. 390—395. https://doi.org/10.1016/j.tjog.2018.11.035
Chen, G., Li, L., Wu, J., et al., Correlations of P-selectin and E-selectin gene polymorphisms with preeclampsia, Panminerva Med., 2021, vol. 63, no. 1, pp. 93—94. https://doi.org/10.23736/S0031-0808.19.03672-3
Hypertensive Disorders during Pregnancy, Childbirth and the Postpartum Period: Preeclampsia. Eclampsia. Clinical Guidelines (Clinical Protocol), Moscow, 2016, рр. 4–6.
International Consortium for Blood Pressure Genome-Wide Association Studies, Ehret, G.B., Munroe, P.B., Rice, K.M., et al., Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk, Nature, 2011, vol. 478, no. 7367, pp. 103—109. https://doi.org/10.1038/nature10405
Pichler, I., Minelli, C., Sanna, S., et al., Identification of a common variant in the TFR2 gene implicated in the physiological regulation of serum iron levels, Hum. Mol. Genet., 2011, vol. 20, no. 6, pp. 1232—1240. https://doi.org/10.1093/hmg/ddq552
Astle, W.J., Elding, H., Jiang, T., et al., The allelic landscape of human blood cell trait variation and links to common complex disease, Cell, 2016, vol. 167, no. 5, pp. 1415—1429. e19. https://doi.org/10.1016/j.cell.2016.10.042
Chambers, J.C., Zhang, W., Lord, G.M., et al., Genetic loci influencing kidney function and chronic kidney disease, Nat. Genet., 2010, vol. 42, no. 5, pp. 373—375. https://doi.org/10.1038/ng.566
Wain, L.V., Verwoert, G.C., O’Reilly, P.F., et al., Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure, Nat. Genet., 2011, vol. 43, no. 10, pp. 1005—1011. https://doi.org/10.1038/ng.922
Ehret, G.B., Ferreira, T., Chasman, D.I., et al., The genetics of blood pressure regulation and its target organs from association studies in 342 415 individuals, Nat. Genet., 2016, vol. 48, no. 10, pp. 1171—1184. https://doi.org/10.1038/ng.3667
Pilling, L.C., Atkins, J.L., Duff, M.O., et al., Red blood cell distribution width: genetic evidence for aging pathways in 116 666 volunteers, PLoS One, 2017, vol. 12, no. 9. e0185083. https://doi.org/10.1371/journal.pone.0185083
Raffield, L.M., Louie, T., Sofer, T, et al., Genome-wide association study of iron traits and relation to diabetes in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL): potential genomic intersection of iron and glucose regulation?, Hum. Mol. Genet., 2017, vol. 26, no. 10, pp. 1966—1978. https://doi.org/10.1093/hmg/ddx082
Kanai, M., Akiyama, M., Takahashi, A., et al., Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases, Nat. Genet., 2018, vol. 50, no. 3, pp. 390—400. https://doi.org/10.1038/s41588-018-0047-6
Sung, Y.J., Winkler, T.W., de Las Fuentes, L., et al., A large-scale multi-ancestry genome-wide study accounting for smoking behavior identifies multiple significant loci for blood pressure, Am. J. Hum. Genet., 2018, vol. 102, no. 3, pp. 375—400. https://doi.org/10.1016/j.ajhg.2018.01.015
Oskarsson, G.R., Oddsson, A., Magnusson, M.K., et al., Predicted loss and gain of function mutations in ACO1 are associated with erythropoiesis, Commun. Biol., 2020, vol. 3, no. 1, p. 189. https://doi.org/10.1038/s42003-020-0921-5
Vuckovic, D., Bao, E.L., Akbari, P., et al., The polygenic and monogenic basis of blood traits and diseases, Cell, 2020, vol. 182, no. 5, pp. 1214—1231. e11. https://doi.org/10.1016/j.cell.2020.08.008
Chen, J., Spracklen, C.N., Marenne, G., et al., The trans-ancestral genomic architecture of glycemic traits, Nat. Genet., 2021, vol. 53, no. 6, pp. 840—860. https://doi.org/10.1038/s41588-021-00852-9
Wain, L.V., Vaez, A., Jansen, R., et al., Novel blood pressure locus and gene discovery using genome-wide association study and expression data sets from blood and the kidney, Hypertension, 2017. https://doi.org/10.1161/HYPERTENSIONAHA.117.09438
Kato, N., Loh, M., Takeuchi, F., et al., Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation, Nat. Genet., 2015, vol. 47, no. 11, pp. 1282—1293. https://doi.org/10.1038/ng.3405
Shungin, D., Winkler, T.W., Croteau-Chonka, D.C., et al., New genetic loci link adipose and insulin biology to body fat distribution, Nature, 2015, vol. 518, no. 7538, pp. 187—196. https://doi.org/10.1038/nature14132
Takeuchi, F., Akiyama, M., Matoba, N., et al., Interethnic analyses of blood pressure loci in populations of East Asian and European descent, Nat. Commun., 2018, vol. 9, no. 1, p. 5052. https://doi.org/10.1038/s41467-018-07345-0
Tachmazidou, I., Süveges, D., Min, J.L., et al., Whole-genome sequencing coupled to imputation discovers genetic signals for anthropometric traits, Am. J. Hum. Genet., 2017, vol. 100, no. 6, pp. 865—884. https://doi.org/10.1016/j.ajhg.2017.04.014
Liu, C., Kraja, A.T., Smith, J.A., et al., Meta-analysis identifies common and rare variants influencing blood pressure and overlap** with metabolic trait loci, Nat. Genet., 2016, vol. 48, no. 10, pp. 1162—1170. https://doi.org/10.1038/ng.3660
Surendran, P., Drenos, F., Young, R., et al., Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension, Nat. Genet., 2016, vol. 48, no. 10, pp. 1151—1161. https://doi.org/10.1038/ng.3654
Hoffmann, T.J., Ehret, G.B., Nandakumar, P., et al., Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation, Nat. Genet., 2017, vol. 49, no. 1, pp. 54—64. https://doi.org/10.1038/ng.3715
Giri, A., Hellwege, J.N., Keaton, J.M., et al., Trans-ethnic association study of blood pressure determinants in over 750 000 individuals, Nat. Genet., 2019, vol. 51, no. 1, pp. 51—62. https://doi.org/10.1038/s41588-018-0303-9
German, C.A., Sinsheimer, J.S., Klimentidis, Y.C., et al., Ordered multinomial regression for genetic association analysis of ordinal phenotypes at Biobank scale, Genet. Epidemiol., 2020, vol. 44, no. 3, pp. 248—260. https://doi.org/10.1002/gepi.22276
Wu, Y., Byrne, E.M., Zheng, Z., et al., Genome-wide association study of medication-use and associated disease in the UK Biobank, Nat. Commun., 2019, vol. 10, no. 1, p. 1891. https://doi.org/10.1038/s41467-019-09572-5
Sakaue, S., Kanai, M., Tanigawa, Y., et al., A cross-population atlas of genetic associations for 220 human phenotypes, Nat. Genet., 2021, vol. 53, no. 10, pp. 1415—1424. https://doi.org/10.1038/s41588-021-00931-x
Jeong, H., **, H.S., Kim, S.S., and Shin, D., Identifying interactions between dietary sodium, potassium, sodium-potassium ratios, and FGF5 rs16998073 variants and their associated risk for hypertension in Korean adults, Nutrients, 2020, vol. 12, no. 7, p. 2121. https://doi.org/10.3390/nu12072121
Tikunova, E., Ovtcharova, V., Reshetnikov, E., et al., Genes of tumor necrosis factors and their receptors and the primary open angle glaucoma in the population of Central Russia, Int. J. Ophthalmol., 2017, vol. 10, pp. 1490—1494. https://doi.org/10.18240/ijo.2017.10.02
Reshetnikov, E., Zarudskaya, O., Polonikov, A., et al., Genetic markers for inherited thrombophilia are associated with fetal growth retardation in the population of Central Russia, J. Obstet. Gynaecol. Res., 2017, vol. 43, no. 7, pp. 1139—1144. https://doi.org/10.1111/jog.13329
Starikova, D., Ponomarenko, I., Reshetnikov, E., et al., Novel data about association of the functionally significant polymorphisms of the MMP-9 gene with exfoliation glaucoma in the Caucasian population of Central Russia, Ophthalmic. Res., 2021, vol. 64, no. 3, pp. 458—464. https://doi.org/10.1159/000512507
Ward, L.D. and Kellis, M., HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease, Nucleic Acids Res., 2016, vol. 44, no. D1, pp. D877—D881. https://doi.org/10.1093/nar/gkv1340
Che, R., Jack, J.R., Motsinger-Reif, A.A., and Brown, C.C., An adaptive permutation approach for genome-wide association study: evaluation and recommendations for use, BioData Min., 2014, vol. 7, no. 1, p. 9. https://doi.org/10.1186/1756-0381-7-9
Purcell, S., Neale, B., Todd-Brown, K., et al., PLINK: a tool set for whole-genome association and population-based linkage analyses, Am. J. Hum. Genet., 2007, vol. 81, no. 3, pp. 559—575. https://doi.org/10.1086/519795
GTEx Consortium. The GTEx Consortium atlas of genetic regulatory effects across human tissues, Science, 2020, vol. 369, no. 6509, pp. 1318—1330. https://doi.org/10.1126/science.aaz1776
Minyaylo, O., Ponomarenko, I., Reshetnikov, E., et al., Functionally significant polymorphisms of the MMP-9 gene are associated with peptic ulcer disease in the Caucasian population of Central Russia, Sci. Rep., 2021, vol. 11, no. 1, p. 13515. https://doi.org/10.1038/s41598-021-92527-y
Adzhubei, I., Jordan, D.M., and Sunyaev, S.R., Predicting functional effect of human missense mutations using PolyPhen-2, Curr. Protoc. Hum. Genet., 2013, chapter 7, unit 7.20. https://doi.org/10.1002/0471142905.hg0720s76
Moskalenko, M.I., Milanova, S.N., Ponomarenko, I.V., et al., Study of associations of polymorphism of matrix metalloproteinases genes with the development of arterial hypertension in men, Kardiologiia, 2019, vol. 59, no. 7S, pp. 31—39. https://doi.org/10.18087/cardio.2598
Polonikov, A., Rymarova, L., Klyosova, E., et al., Matrix metalloproteinases as target genes for gene regulatory networks driving molecular and cellular pathways related to a multistep pathogenesis of cerebrovascular disease, J. Cell. Biochem., 2019, vol. 120, no. 10, pp. 16467—16482. https://doi.org/10.1002/jcb.28815
Moskalenko, M., Ponomarenko, I., Reshetnikov, E., et al., Polymorphisms of the matrix metalloproteinase genes are associated with essential hypertension in a Caucasian population of Central Russia, Sci. Rep., 2021, vol. 11, no. 1, p. 5224. https://doi.org/10.1038/s41598-021-84645-4
Stelzer, G., Rosen, N., Plaschkes, I., et al., The GeneCards suite: from gene data mining to disease genome sequence analyses, Curr. Protoc. Bioinf., 2016, vol. 54, pp. 1.30.1—1.30.33. https://doi.org/10.1002/cpbi.5
McNiven, M.A. and Razidlo, G.L., Regulation of cell migration, Encyclopedia of Cell Biology, 2016, vol. 3, pp. 208—215.https://doi.org/10.1016/B978-0-12-394447-4.30030-X
Budko, A.A., Khesina, P.A., Diakov, L.M., and Lazarevich, N.L., Small GTPase Rab3B: biological properties and possible role in carcinogenesis, Adv. Mol. Oncol., 2018, vol. 5, no. 4, pp. 78—85. https://doi.org/10.17650/2313-805X-2018-5-4-78-85
Loirand, G., Scalbert, E., Bril, A., Pacaud, P., Rho exchange factors in the cardiovascular system, Curr. Opin. Pharmacol., 2008, vol. 8, no. 2, pp. 174—180. https://doi.org/10.1016/j.coph.2007.12.006
Li, M., Jiao, Q., **n, W., et al., The emerging role of Rho guanine nucleotide exchange factors in cardiovascular disorders: insights into atherosclerosis: a mini review, Front. Cardiovasc. Med., 2022, vol. 8, p. 782098. https://doi.org/10.3389/fcvm.2021.782098
Hurd, C.A., Brear, P., Revell, J., et al., Affinity maturation of the RLIP76 Ral binding domain to inform the design of stapled peptides targeting the Ral GTPases, J. Biol. Chem., 2021, vol. 296, p. 100101. https://doi.org/10.1074/jbc.RA120.015735
Karpushev, A.V., Mikhailova, V.B., and Abramochkin, D.V., The role of small G-proteins in the regulation of ion channels, Usp. Fiziol. Nauk, 2020, vol. 51, no. 1, pp. 3—17. https://doi.org/10.31857/S0301179820010063
Ehrhardt, G., Korherr, C., Wieler, J., et al., A novel potential effector of M-Ras and p21 Ras negatively regulates p21 Ras-mediated gene induction and cell growth, Oncogene, 2001, vol. 20, no. 2, pp. 188—197. https://doi.org/10.1038/sj.onc.1204053
Kasza, A., Signal-dependent Elk-1 target genes involved in transcript processing and cell migration, Biochim. Biophys. Acta, 2013, vol. 1829, no. 10, pp. 1026—1033. https://doi.org/10.1016/j.bbagrm.2013.05.004
Funding
The present study was supported by the Grant of the President of the Russian Federation “The Study of Genetic Factors of Women’s Reproductive Health” (MD-3284.2022.1.4).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest. The authors declare no conflict of interest.
Statement of compliance with standards of research involving humans as subjects. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants involved in the study.
Additional information
Translated by A. Kazantseva
Rights and permissions
About this article
Cite this article
Abramova, M.Y., Ponomarenko, I.V. & Churnosov, M.I. The Polymorphic Locus rs167479 of the RGL3 Gene Is Associated with the Risk of Severe Preeclampsia. Russ J Genet 58, 1543–1550 (2022). https://doi.org/10.1134/S102279542212002X
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S102279542212002X