scholarly journals Interactions of single nucleotide polymorphisms with dietary calcium intake on the risk of metabolic syndrome

2011 ◽  
Vol 95 (1) ◽  
pp. 231-240 ◽  
Author(s):  
Kirang Kim ◽  
Yoon Jung Yang ◽  
Kyunga Kim ◽  
Mi Kyung Kim
Keyword(s):  
Metabolic Syndrome ◽  
Single Nucleotide Polymorphisms ◽  
Calcium Intake ◽  
Dietary Calcium ◽  
Dietary Calcium Intake ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

scholarly journals Top Single Nucleotide Polymorphisms Affecting Carbohydrate Metabolism in Metabolic Syndrome: From the LIPGENE Study

2014 ◽  
Vol 99 (2) ◽  
pp. E384-E389 ◽  
Author(s):  
Javier Delgado-Lista ◽  
Pablo Perez-Martinez ◽  
Juan Solivera ◽  
Antonio Garcia-Rios ◽  
A. I. Perez-Caballero ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Single Nucleotide Polymorphisms ◽  
Carbohydrate Metabolism ◽  
Insulin Response ◽  
Intravenous Glucose Tolerance Test ◽  
Sensitivity Index ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Intravenous Glucose

Rationale: Metabolic syndrome (MetS) is a high-prevalence condition characterized by altered energy metabolism, insulin resistance, and elevated cardiovascular risk. Objectives: Although many individual single nucleotide polymorphisms (SNPs) have been linked to certain MetS features, there are few studies analyzing the influence of SNPs on carbohydrate metabolism in MetS. Methods: A total of 904 SNPs (tag SNPs and functional SNPs) were tested for influence on 8 fasting and dynamic markers of carbohydrate metabolism, by performance of an intravenous glucose tolerance test in 450 participants in the LIPGENE study. Findings: From 382 initial gene-phenotype associations between SNPs and any phenotypic variables, 61 (16% of the preselected variables) remained significant after bootstrapping. Top SNPs affecting glucose metabolism variables were as follows: fasting glucose, rs26125 (PPARGC1B); fasting insulin, rs4759277 (LRP1); C-peptide, rs4759277 (LRP1); homeostasis assessment of insulin resistance, rs4759277 (LRP1); quantitative insulin sensitivity check index, rs184003 (AGER); sensitivity index, rs7301876 (ABCC9), acute insulin response to glucose, rs290481 (TCF7L2); and disposition index, rs12691 (CEBPA). Conclusions: We describe here the top SNPs linked to phenotypic features in carbohydrate metabolism among approximately 1000 candidate gene variations in fasting and postprandial samples of 450 patients with MetS from the LIPGENE study.

scholarly journals Association between single nucleotide polymorphisms rs72525532, rs45596738, rs148759216, rs188133936, and rs114627122 of APOA5 gene in children and adolescents with metabolic syndrome

2019 ◽  
Vol 21 (4) ◽  
pp. 175-180
Author(s):  
Samaneh Salehi ◽  
Modjtaba Emadi-Baygi ◽  
Parvaneh Nikpour ◽  
Roya Kelishadi
Keyword(s):  
Metabolic Syndrome ◽  
Single Nucleotide Polymorphisms ◽  
Children And Adolescents ◽  
Control Group ◽  
Nucleotide Polymorphisms ◽  
Normal Children ◽  
Single Nucleotide ◽  
Increased Risk ◽  
Significant Difference ◽  
Apoa5 Gene

Background and aims: The APOA5 gene is one of the genes involved in metabolic syndrome (MetS), as a constellation of several cardiovascular disease (CVD) risk factors. The present study evaluated the possible associations between five single nucleotide polymorphisms (SNPs) in the microRNA target site (miR-TS-SNPs) of the APOA5 gene with MetS. Methods: This case-control study included 57 MetS cases, along with 59 normal children and adolescents aged 9-18 years. All miR-TSSNPs rs188133936, rs72525532, rs45596738, rs148759216, and rs114627122 were genotyped by polymerase chain reaction-sequencing. Independent t-test, as well as the chi-square test and logistic regression analysis was used to determine the association of SNPs with MetS risk and its clinical components. Results: The mean (SD) age of MetS participants and controls was 12.35 (0.25) and 13.39 (0.38) years, respectively. Although no nucleotide changes were present in rs188133936, rs45596738, rs148759216, and rs114627122, a greater frequency of A insertion was detected in rs72525532 in MetS cases compared with the control group (P=0.012). This variant showed a significant difference in triglycerides (TG) and high-density lipoprotein cholesterol (HDL) levels between different genotype groups (P<0.0001 and P=0.05, respectively) in controls. Furthermore, AA insertion genotype was correlated with an increased risk of MetS (Odds ratio [95% CI] = 8.12 [0.966-68.27], P=0.05). Conclusion: This study was the first to investigate the association between rs188133936, rs45596738, rs148759216, rs76463524, and rs72525532 variants of the APOA5 gene and MetS. Our findings reveal that rs72525532 might have an impact on TG, HDL levels, and the risk of MetS

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