• Bulletin of the Korean Chemical Society
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• v.31 no.7
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• pp.2077-2080
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• 2010

• Genomics & Informatics
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• v.12 no.3
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• pp.121-126
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• 2014

Medication adherence is generally defined as the extent of voluntary cooperation of a patient in taking medicine as prescribed. Adherence to long-term treatment with chronic disease is essential for reducing disease comorbidity and mortality. However, medication non-adherence in chronic disease averages 50%. This study was conducted a genome-wide association study to identify the genetic basis of medication adherence. A total of 235 medication non-adherents and 1,067 medication adherents with hypertension or diabetes were used from the Korean Association Resource project data according to the self-reported treatment status of each chronic disease, respectively. We identified four single nucleotide polymorphisms with suggestive genome-wide association. The most significant single nucleotide polymorphism was rs6978712 (chromosome 7, $p=4.87{\times}10^{-7}$), which is located proximal to the GCC1 gene, which was previously implicated in decision-making capability in drug abusers. Two suggestive single nucleotide polymorphisms were in strong linkage disequilibrium ($r^2$ > 0.8) with rs6978712. Thus, in the aspect of decision-making in adherence behavior, the association between medication adherence and three loci proximal to the GCC1 gene seems worthy of further research. However, to overcome a few limitations in this study, defining the standardized phenotype criteria for self-reported adherence should be performed before replicating association studies.

• Genomics & Informatics
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• v.12 no.1
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• pp.42-47
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• 2014

Asian populations contain a variety of ethnic groups that have ethnically specific genetic differences. Ethnic variants may be highly relevant in disease and human differentiation studies. Here, we identified ethnically specific variants and then investigated their distribution across Asian ethnic groups. We obtained 58,960 Pan-Asian single nucleotide polymorphisms of 1,953 individuals from 72 ethnic groups of 11 Asian countries. We selected 9,306 ethnic variant single nucleotide polymorphisms (ESNPs) and 5,167 ethnic variant copy number polymorphisms (ECNPs) using the nearest shrunken centroid method. We analyzed ESNPs and ECNPs in 3 hierarchical levels: superpopulation, subpopulation, and ethnic population. We also identified ESNP- and ECNP-related genes and their features. This study represents the first attempt to identify Asian ESNP and ECNP markers, which can be used to identify genetic differences and predict disease susceptibility and drug effectiveness in Asian ethnic populations.

• Genomics & Informatics
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• v.5 no.4
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• pp.152-160
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• 2007

Most common diseases are caused by multiple genetic and environmental factors. Among the genetic factors, single nucleotide polymorphisms (SNPs) are common DNA sequence variations in individuals and can serve as important genetic markers. Recently, investigations of gene-based and whole genome-based SNPs have been applied to association studies for marker discovery. However, SNPs are so population-specific that the association needs to be verified. Fifty-five genes and 384 SNPs were selected based on association with disease. Genotypes of 337 SNPs in candidate genes were determined using Illumina Sentrix Array Matrix (SAM) chips by an allele-specific extension method in 364 unrelated Korean individuals. Allelic frequencies of SNPs were compared with those of other populations obtained from the International HapMap database. Minor allele frequencies, linkage disequilibrium blocks, tagSNPs, and haplotypes of functional candidate SNPs in 55 genetic disease-associated genes were provided. Our data may provide useful information for the selection of genetic markers for gene-based genetic disease-association studies of the Korean population.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.9
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• pp.1415-1419
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• 2018

Objective: To estimate effect of single nucleotide polymorphisms on the intramuscular fat content (IMF) of Hungarian Simmental bulls. Methods: Genotypes were determined on high-density Illumina Bovine DNA Chip. After slaughtering of animals, chemical percentage of intramuscular fat was determined from longissimus dorsi muscle. A multi-locus mixed-model was applied for statistical analyses. Results: Analyses revealed four loci (rs43284251, rs109210955, rs41630030, and rs41642251) to be highly associated ($-{\log}_{10}P$>12) with IMF located on chromosome 1, 6, 13, and 17, respectively. The frequency of their minor alleles was 0.426, 0.221, 0.162, and 0.106. Conclusion: The loci above can be useful in selection programs and gives the possibility to assist selection by molecular tools.

• Toxicological Research
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• v.24 no.2
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• pp.109-112
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• 2008

The G184C and G134A single nucleotide polymorphisms(SNPs) of the CYP1A1 gene result in Ala62Pro and Gly45Asp substitutions, respectively. Here, we tested whether these SNPs are associated with an alteration in lung cancer incidence. We examined 80 Korean subjects with lung cancer and 240 age- and sex-matched controls. For each subject, the CYP1A1 gene was PCR amplified and sequenced. We observed that the odds ratio(OR) for lung cancer was 3.37 higher in subjects with the G184C polymorphism than in controls(95% confidence interval(CI), $0.89{\sim}12.73$, P=0.07). In contrast, the OR for lung cancer was 1.23 in subjects with the G134A polymorphism compared to controls(95% CI, $0.68{\sim}2.20$, P=0.49). The G184C polymorphism exacerbated the effects of smoking on lung cancer development. Gene-smoking interaction analyses revealed that past or present smokers with the G184C polymorphism had a higher incidence of lung cancer(OR, 24.72; 95% CI, $4.48{\sim}136.31$; P<0.01) than control smokers(OR, 6.65; 95% CI, $2.72{\sim}16.28$; P<0.01). However, there was only a slight difference in the ORs for lung cancer between control smokers and smokers with the G134A polymorphism. These findings suggest that the G184C polymorphism, but not the G134A polymorphism, is associated with an increased risk of lung cancer.

• Biomolecules & Therapeutics
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• v.14 no.4
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• pp.189-193
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• 2006

This study was designed to assess the distribution of cytochrome P450 2E1 (CYP2E1) polymorphism among Korean patients on warfarin therapy. CYP2E1 polymorphism was analyzed at 5' flanking region of CYP2E1 gene using restriction fragment length polymorphism method. Patient characteristics including the measured internal normalized ratio (INR) were also evaluated. Based on the warfarin dose and the bleeding cases, the patients were grouped as the regular dose control, the regular dose bleeding, the low dose control, and the low dose bleeding. Total 96 patients were evaluated for both Pst I and Rsa I loci of the CYP2E1 gene and the results showed that both loci were tightly linked. Thirty-three patients(34.4%) were heterozygotes and 4 patients(4.2%) were homozygote. There was no significant difference in patient characteristics in the dose and bleeding case groups. CYP2E1 polymorphism showed a little difference among the groups but was not statistically significant, however, lower INR value was observed in homozygote genotype groups. It was also revealed that genotype allele frequencies of CYP2E1 in Korean was close to other Asian groups but was significantly different from other Caucasian and African-American populations.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.201-207
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• 2018

A genome contains all genetic information of an organism. Within a specific species, unique traits appear for each individual, which can be identified by analyzing nucleotide sequences. Many Genome-Wide Associations Studies have been carried out to find genetic associations and cause of diseases from slightly different base among the individuals. It is important to identify occurrence of slight variations for polymorphisms of individuals. In this paper, we introduce an analysis and visualization tool for specific variation pattern identification of polymorphisms in nucleotide sequences and show the validity of the tool by applying it to analyzing nucleotide sequences of subcultured pOka strain of varicella-zoster virus. The tool is expected to help efficiently explore allele frequency variations and genetic factors within a species.

• Bulletin of the Korean Chemical Society
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• v.30 no.9
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• pp.2141-2144
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• 2009

• BMB Reports
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• v.37 no.1
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• pp.11-27
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• 2004

The introduction of molecular markers in genetic analysis has revolutionized medicine. These molecular markers are genetic variations associated with a predisposition to common diseases and individual variations in drug responses. Identification and genotyping a vast number of genetic polymorphisms in large populations are increasingly important for disease gene identification, pharmacogenetics and population-based studies. Among variations being analyzed, single nucleotide polymorphisms seem to be most useful in large-scale genetic analysis. This review discusses approaches for genetic analysis, use of different markers, and emerging technologies for large-scale genetic analysis where millions of genotyping need to be performed.