2023
DOI: 10.3390/ijms24097799
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Sex-Specific Features of the Correlation between GWAS-Noticeable Polymorphisms and Hypertension in Europeans of Russia

Abstract: The aim of the study was directed at studying the sex-specific features of the correlation between genome-wide association studies (GWAS)-noticeable polymorphisms and hypertension (HTN). In two groups of European subjects of Russia (n = 1405 in total), such as men (n = 821 in total: n = 564 HTN, n = 257 control) and women (n = 584 in total: n = 375 HTN, n = 209 control), the distribution of ten specially selected polymorphisms (they have confirmed associations of GWAS level with blood pressure (BP) parameters … Show more

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Cited by 8 publications
(3 citation statements)
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References 141 publications
(198 reference statements)
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“…quite ambiguous. Ivanova et al (2023) also obtained the same types of results for subjects in Russia. Testosterone is the most important circulating testicular androgen in men.…”
Section: Resultssupporting
confidence: 59%
“…quite ambiguous. Ivanova et al (2023) also obtained the same types of results for subjects in Russia. Testosterone is the most important circulating testicular androgen in men.…”
Section: Resultssupporting
confidence: 59%
“…The BC-risk impact of the examined nine SHBG-impact loci was analyzed by logistic regression separately in each group of obese/non-obese women. Four well-renowned genetic models, namely additive, recessive, dominant, and allelic, were considered [52,53]. Covariates (age/BMI [54]) and permutations (in order to minimize false-positive results [55,56]) were used in computations of the values' odds ratio (OR) and their confidence intervals (95%CI) [57] in the gPLINK program [58].…”
Section: Statistical Bioinformatics Analysismentioning
confidence: 99%
“…FGR-significant locus/gene probable functions. We explored FGR-correlated loci and LD SNPs (r 2 was not less than 0.80 [ 142 , 143 ]) from the standpoint of their possible functionality [ 144 , 145 , 146 ]. For the purpose of in-depth/comprehensive analysis of materials on this issue, based on the positively proven in extensive (including GWAS) genetic research with an in silico approach [ 147 , 148 , 149 , 150 ], six different contemporary bioinformatic programs/resources were utilized, such as (a) GTE Consortium data [ 151 ], (b) HaploReg [ 128 ], (c) GeneOntology knowledge base [ 152 ], (d) STRING [ 153 ], (e) Blood eQTL resource [ 154 ], and (f) SIFT [ 155 ].…”
Section: Methodsmentioning
confidence: 99%