scholarly journals Prediction of cholesterol ratios within a Korean population

2018 ◽  
Vol 5 (1) ◽  
pp. 171204
Author(s):  
Jin Sol Lee ◽  
Hyun Sub Cheong ◽  
Hyoung Doo Shin
Keyword(s):  
Genetic Risk ◽  
Cross Validation ◽  
Density Lipoprotein ◽  
Risk Scores ◽  
Genotype Data ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Regression Slopes ◽  
Validation Set ◽  
Fold Cross Validation

Cholesterol ratios (total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-c) and triglyceride (TG)/HDL-c) have been suggested as better indicators to predict various clinical features such as insulin resistance and heart disease. Therefore, we aimed to build a single nucleotide polymorphism (SNP) set to predict constitutional lipid metabolism. The genotype data of 7795 samples were obtained from the Korea Association Resource. Among the total of 7795 samples, 7016 subjects were used to perform 10-fold cross-validation. We selected the SNPs that showed significance constantly throughout all 10 cross-validation sets; another 779 samples were used as the final validation set. After performing the 10-fold cross-validation, the six SNPs ( rs4420638 ( APOC1 ), rs12421652 ( BUD13 ) , rs17411126 ( LPL ) , rs6589566 ( ZPR1 ) , rs16940212 ( LOC101928635 ) and rs10852765 ( ABCA8 )) were finally selected for predicting cholesterol ratios. The weighted genetic risk scores (wGRS) were calculated based on the regression slopes of the six selected SNPs. Our results showed upward trends of wGRS for both the TC/HDL-c and TG/HDL-c ratios within the 10-fold cross-validation. Similarly, the wGRS of the six SNPs also showed upward trends in analyses using the SNP selection set and final validation set. The selected six SNPs can be used to explain both the TC/HDL-c and TG/HDL-c ratios. Our results may be useful for the prospective predictions of cholesterol-related diseases.

scholarly journals BMI prediction within a Korean population

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3510 ◽  
Author(s):  
Jin Sol Lee ◽  
Hyun Sub Cheong ◽  
Hyoung-Doo Shin
Keyword(s):  
Cross Validation ◽  
Genome Wide Association Study ◽  
Korean Population ◽  
Risk Scores ◽  
Link Type ◽  
Genome Wide ◽  
Clinical Trait ◽  
Validation Set ◽  
Fold Cross Validation

Background Body Mass Index (BMI) is widely regarded as an important clinical trait for obesity and other diseases such as Type 2 diabetes, coronary heart disease, and osteoarthritis. Methods This study uses 6,011 samples of genotype data from ethnic Korean subjects. The data was retrieved from the Korea Association Resource. To identify the BMI-related markers within the Korean population, we collected genome-wide association study (GWAS) markers using a GWAS catalog and also obtained other markers from nearby regions. Of the total 6,011 samples, 5,410 subjects were used as part of a single nucleotide polymorphism (SNP) selection set in order to identify the overlapping BMI-associated SNPs within a 10-fold cross validation. Results We selected nine SNPs (rs12566985 (FPGT-TNNI3K), rs6545809 (ADCY3), rs2943634 (located near LOC646736), rs734597 (located near TFAP2B), rs11030104 (BDNF), rs7988412 (GTF3A), rs2241423 (MAP2K5), rs7202116 (FTO), and rs6567160 (located near LOC105372152) to assist in BMI prediction. The calculated weighted genetic risk scores based on the selected 9 SNPs within the SNP selection set were applied to the final validation set consisting of 601 samples. Our results showed upward trends in the BMI values (P < 0.0001) within the 10-fold cross validation process for R2 > 0.22. These trends were also observed within the validation set for all subjects, as well as within the validation sets divided by gender (P < 0.0001, R2 > 0.46). Discussion The set of nine SNPs identified in this study may be useful for prospective predictions of BMI.

scholarly journals rs2569190A>G in CD14 is Independently Associated with Hypercholesterolemia: A Brief Report

2019 ◽  
Vol 6 (4) ◽  
pp. 37 ◽  
Author(s):  
Ali Salami ◽  
Christy Costanian ◽  
Said El Shamieh
Keyword(s):  
Disease Risk ◽  
Middle Eastern ◽  
Cardiovascular Disease Risk ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Multiethnic Population ◽  
Cluster Of Differentiation

Many studies have assessed the implication of cluster of differentiation 14 (CD14) molecules and its single nucleotide polymorphism rs2569190A>G with different complex diseases, such as diabetes and cardiovascular diseases (CVDs). In this study, we investigated the association of rs2569190A>G in CD14 with cardiovascular disease risk factors (hypercholesterolemia and hypertension) in 460 individuals from the general Lebanese population (Middle Eastern multiethnic population). Using a multiple logistic regression model adjusted for six covariates (under additive and recessive assumptions), we found that the G allele of rs2569190 in CD14 was associated with increased levels of total cholesterol (OR = 3.10, p = 0.009), low-density lipoprotein cholesterol (OR = 3.87, p = 0.003), and decreased levels of high-density lipoprotein cholesterol (OR = 0.38, p = 0.001). In contrast, no significant relationship was found with hypertension. Thus, we concluded that rs2569190G in CD14 is associated with a higher risk of developing hypercholesterolemia.

scholarly journals Twelve–Single Nucleotide Polymorphism Genetic Risk Score Identifies Individuals at Increased Risk for Future Atrial Fibrillation and Stroke

Stroke ◽  
2014 ◽  
Vol 45 (10) ◽  
pp. 2856-2862 ◽  
Author(s):  
Hayato Tada ◽  
Dov Shiffman ◽  
J. Gustav Smith ◽  
Marketa Sjögren ◽  
Steven A. Lubitz ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Single Nucleotide Polymorphism ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Increased Risk
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