2018
DOI: 10.3390/nu10050612
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Association of Genetic Variation in the Epithelial Sodium Channel Gene with Urinary Sodium Excretion and Blood Pressure

Abstract: This study was performed to investigate whether genetic variation in the epithelial sodium channel (ENaC) is associated with 24-h urinary sodium excretion and blood pressure. A total of 3345 participants of the KoGES_Ansan and Ansung study were eligible for this study. Genomic DNA samples were isolated from peripheral blood and genotyped on the Affymetrix Genome-Wide Human SNP Array 5.0. Thirty-four single nucleotide polymorphisms (SNPs) were extracted for gene regions (SCNN1A, SCNN1B, and SCNN1G) as additive … Show more

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Cited by 8 publications
(10 citation statements)
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References 29 publications
(42 reference statements)
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“…One locus for sodium-to-creatinine ratio and 1 locus for potassium-to-creatinine ratio identified by the Zanetti et al (16) GWAS had P < 0.05 with 24-h sodium excretion and 24-h potassium excretion, respectively, in our European ancestry meta-analyses, and the direction of effects was consistent (Supplemental Table 6). Seven out of 9 SNPs in the SCNN1G gene region previously identified by the Yang et al (14) sodium excretion association study (24-h estimated from spot urine samples) or the Zhao et al (18) salt sensitivity of blood pressure in Asian samples association study had GWAS meta-analysis of sodium and potassium intake 2639 The SNPs with strongest P value from each of the genomic risk loci are presented (LD r 2 Age and sex were adjusted in a model.…”
Section: Resultsmentioning
confidence: 99%
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“…One locus for sodium-to-creatinine ratio and 1 locus for potassium-to-creatinine ratio identified by the Zanetti et al (16) GWAS had P < 0.05 with 24-h sodium excretion and 24-h potassium excretion, respectively, in our European ancestry meta-analyses, and the direction of effects was consistent (Supplemental Table 6). Seven out of 9 SNPs in the SCNN1G gene region previously identified by the Yang et al (14) sodium excretion association study (24-h estimated from spot urine samples) or the Zhao et al (18) salt sensitivity of blood pressure in Asian samples association study had GWAS meta-analysis of sodium and potassium intake 2639 The SNPs with strongest P value from each of the genomic risk loci are presented (LD r 2 Age and sex were adjusted in a model.…”
Section: Resultsmentioning
confidence: 99%
“…We found 2 studies using spot urine samples from the UK Biobank (European ancestry) to examine the concentration (millimoles/liter) of sodium and potassium excretion (15), and sodiumto-creatinine, potassium-to-creatinine, and sodium-to-potassium ratios (16). We also found 2 studies using Asian ancestry samples, one examining 24-h urinary sodium and potassium excretion (mmol/d) estimated from spot urine (14) and the other examining salt sensitivity of blood pressure (18). For the SNPs reported by studies with samples of Asian ancestry, we tested for replication in both our European ancestry samples and our Asian ancestry samples (HTS, Korea).…”
Section: Association With Similar Traitsmentioning
confidence: 99%
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“…That is because a higher number of antibodies can increase the chaos of the antibody attachment arrangement and produce steric obstruction of the immunoreaction. The antibodies immobilized on the surface of the electrode are already saturated so that they interfere with the immobilization process themselves and produce a poor orientation which reduces the number of anti-ENaC antibodies attached to the MPA [13]. According to Ronkainen et al [14], the density or number of antibodies that are immobilized on the surface of the electrode should not be too high because it can cause steric obstruction between antibodies at the electrode which will reduce its recognition activity.…”
Section: Optimum Experiments Conditionsmentioning
confidence: 99%
“…The Korean genome and epidemiology study (KoGES) is a consortium project that was established as a genome epidemiological study for the research community with a health database and biobank to help investigate Korean population-based and gene–environment model studies [ 26 , 27 , 28 ]. Because this dataset contains a significant collection of SNVs and CNVs data from normal tissue and blood samples, KoGES is appropriate for combined pharmacogenomic studies.…”
Section: Introductionmentioning
confidence: 99%