• Genomics & Informatics
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• v.6 no.4
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• pp.173-180
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• 2008

The human genome has evolved as a consequence of evolutionary forces, such as natural selection. In this study, we investigated natural selection on the human genes by comparing the numbers of nonsynonymous (NS) and synonymous (S) mutations in individual genes. We initially collected all coding SNP data of all human genes from the public dbSNP. Among the human genes, we selected 3 different selection groups of genes: positively selected genes (NS/S${\geq}$3), negatively selected genes (NS/S${\leq}$1/3) and neutral selection genes (0.9

• The KIPS Transactions:PartB
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• v.15B no.4
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• pp.323-330
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• 2008

Since complex diseases are caused by interactions of multiple genes, traditional statistical methods are limited in its power to predict the onset of a complex disease. Recently new approaches using machine learning techniques are introduced. Neural nets are a suitable model to find patterns in complex data. When large amount of data are fed into a neural net, however, it takes a long time for learning and finding patterns. In this study we suggest a new model that combines the set association, which is a statistical technique to find important SNPs associated with complex diseases, and neural network. We experiment with SNP data related to asthma to test the effectiveness of our model. Our model shows higher prediction accuracy and shorter execution time than neural net only. We expect our model can be used effectively to predict the onset of other complex diseases.

• Korean Journal of Biological Psychiatry
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• v.19 no.3
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• pp.140-145
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• 2012

Objectives : ST8SIA2 (ST8 alpha-N-acetyl-neuraminide alpha-2, 8-sialyltransferase 2 gene) is located at 15q26, a susceptibility locus for schizophrenia. Some previous research had indicated that single-nucleotide polymorphisms (SNPs) in the promoter region of ST8SIA2 were associated with schizophrenia in Japanese and Chinese populations. We investigated the association between SNPs in the promoter region of ST8SIA2 and schizophrenia in the Korean population. Methods : The study subjects were 190 Korean patients with schizophrenia and 190 healthy controls. We performed allelic, genotypic, and haplotypic association analyses for rs3759916, rs3759915 and rs3759914 of ST8SIA2. All genotypes were determined by direct sequencing. Results : In the genotype-based analysis, rs3759914 showed a nominally significant association with schizophrenia under recessive genotypic model (p = 0.047). However, this association did not remain statistically significant after correction for multiple testing. Both allelic and haplotype analyses did not show any significant association. Conclusions : These findings suggest that ST8SIA2 does not play a major role in the susceptibility to schizophrenia in the Korean population. Further studies with a larger number of subjects are required to definitively rule out minor effects of this gene on schizophrenia vulnerability.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2439-2442
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• 2013

We investigated the possible association of interleukin-10 (IL-10) single nucleotide polymorphisms (SNPs) and susceptibility to acute myeloid leukemia (AML) in 115 patients and 137 healthy controls. Genetic analysis of IL-10 SNPs at -819 and -592 was carried out with the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) approach. The IL-10 mRNA expression of AML patients and controls with different genotype was detected by real-time quantitative polymerase chain reaction (RT-PCR). Genetic analysis of IL-10 revealed that the -819AA genotype frequencies and the -819A allele frequencies in the AML group were higher than in the controls (59.1% vs 40.9%; 75.6% vs 63.9%, respectively); there were remarkable differences in -819T/C and -592A/C gene distribution (P<0.05) and the TA haploid frequencies were higher in the AML group (75.6% vs 63.9%, P<0.05). IL-10 mRNA expression in incipient AML patients was obvious higher than the non-tumor group and the remission group ($7.78{\times}10^{-3}$ vs $2.43{\times}10^{-3}$, $3.64{\times}10^{-3}$, P<0.05).The study suggested that the haploid TA and genotype TA/TA may be associated with AML in Han people in Hunan province.The IL-10 SNPs at -819 and -592 sites were associated with AML and may affect IL-10 mRNA expression in AML patients.

• Biomedical Science Letters
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• v.19 no.2
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• pp.124-131
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• 2013

Genome-wide association studies (GWAS) have identified a number of common variants associated with serum liver enzyme homeostasis in population. In the previous study, single nucleotide polymorphisms (SNPs) in several genes have been reported to be associated with serum liver enzyme levels in European population. We aimed to confirm whether the genetic variation of SMAD2 (SMAD family member 2) gene influence the serum liver enzyme levels in Korean population. We genotyped variants in or near SMAD2 in a population-based sample including 994 unrelated Korean adult. Here, we performed association analysis to elucidate the possible relations of genetic polymorphisms in SMAD2 gene with serum liver enzyme levels. By examining genotype data of a total of 944 subjects in 5 hospital health promotion center, we discovered the SMAD2 gene polymorphisms are associated with serum liver enzyme levels. The common and highest significant polymorphism was rs17736760 (${\beta}$=3.51, P=5.31E-07) with glutamic oxaloacetic transferase (GOT), rs17736760 (${\beta}$=5.99, P=1.25E-05) with glutamic pyruvate transaminase (GPT), and rs17736760 (${\beta}$=15.68, P=9.93E-07) with gamma glutamyl transferase (GGT) in all group. Furthermore, the SNP rs17736760 was consistently associated with GOT (${\beta}$=5.25, P=1.72E-06), GPT (${\beta}$=9.97, P=1.16E-05), GGT (${\beta}$=26.13, P=3.43E-06) in men group. Consequently, we found statistically significant SNP in SMAD2 gene that are associated with serum levels of GOT, GPT, and GGT. In addition, these results suggest that the individuals with the minor alleles of the SNP in the SMAD2 gene may be more elevated serum liver enzyme levels in the Korean population.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.25 no.2
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• pp.82-88
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• 2014

Objectives : The aim of our study was to investigate association of norepinephrine transporter gene (SLC6A2) polymorphism and side effects of osmotic-release oral system methylphenidate (OROS MPH) in children with attention-deficit hyperactivity disorder (ADHD). Methods : We recruited drug naive children with ADHD (N=97). We administered OROS MPH by tolerable dosage. At week 8 of treatment, parents completed the Barkley's side effect rating scale. We analyzed two SLC6A2 single nucleotide polymorphisms (SNPs), rs192303 and rs3785143, with blood of subjects. We compared the frequency and severity of each side effect among SLC6A2 genotypes of 2 SNPs. Results : In the analysis of frequency of each side effect, irritability differed according to rs192303 and rs3785143 genotype. In comparisons of severity, talking less and disinterest differed according to rs192303 genotype. In the case of rs3785143, severities of disinterest and irritability were involved with genotype. Conclusion : Side effects of OROS MPH showed an association with SLC6A2 genotype.

• Asian-Australasian Journal of Animal Sciences
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• v.30 no.8
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• pp.1081-1085
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• 2017

Objective: Previously, we reported quantitative trait loci (QTLs) affecting backfat thickness (BFT) traits on pig chromosome 5 (SW1482-SW963) in an F2 intercross population between Landrace and Korean native pigs. The aim of this study was to evaluate glutamate receptor-interacting protein 1 (GRIP1) as a positional candidate gene underlying the QTL affecting BFT traits. Methods: Genotype and phenotype analyses were performed using the 1,105 $F_2$ progeny. A mixed-effect linear model was used to access association between these single nucleotide polymorphism (SNP) markers and the BFT traits in the $F_2$ intercross population. Results: Highly significant associations of two informative SNPs (c.2442 T>C, c.3316 C>G [R1106G]) in GRIP1 with BFT traits were detected. In addition, the two SNPs were used to construct haplotypes that were also highly associated with the BFT traits. Conclusion: The SNPs and haplotypes of the GRIP1 gene determined in this study can contribute to understand the genetic structure of BFT traits in pigs.

• Food Science of Animal Resources
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• v.38 no.4
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• pp.711-717
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• 2018

Myogenic factor 5 (MYF5) plays an important role in regulating skeletal muscle fiber characteristics, consequently affecting meat production and quality. We identified a novel p.A41P mutation in exon1 of the porcine MYF5 gene by direct sequencing. The mutation was predicted to be destabilizing in protein structure based on the resultant amino acid substitution. We estimated the significant substitution effect of p.A41P on the energy stabilization of Myf5 protein structure. Then, we demonstrated that the mutation in Yorkshire population significantly affected muscle fiber type I composition (p<0.05), loin-eye area of lean meat content (p<0.05) and filter-fluid uptake of meat quality (p<0.01). Furthermore, dominant effects significantly influenced total muscle fiber number (p<0.05). This study suggests that the novel p.A41P mutation in porcine MYF5 may be a valuable genetic marker to affect the muscle fiber characteristics and consequently improve meat production quality and quantity.

• Genomics & Informatics
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• v.17 no.4
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• pp.48.1-48.6
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• 2019

Over the last decade, genome-wide association studies (GWASs) have provided an unprecedented amount of genetic variations that are associated with various phenotypes. However, previous GWAS were mostly conducted in European populations, and these biased results for non-Europeans may result in a significant reduction in risk prediction for non-Europeans. An issue with the early GWAS was the winner's curse problem, which led to misleading results when constructing the polygenic risk scores (PRS). Therefore, more non-European population-based studies are needed to validate reported variants and improve genetic risk assessment across diverse populations. In this study, we validated 422 variants independently associated with glycemic indexes, liver enzymes, and type 2 diabetes in 125,872 samples from a Korean population, and further validated the results by assessing publicly available summary statistics from European GWAS (n = 898,130). Among the 422 independently associated variants, 284, 320, and 361 variants were replicated in Koreans, Europeans, and either one of the two populations. In addition, the effect sizes for Koreans and Europeans were moderately correlated (r = 0.33-0.68). However, 61 variants were not replicated in both Koreans and Europeans. Our findings provide valuable information on effect sizes and statistical significance, which is essential to improve the assessment of disease risk using PRS analysis.

• Genomics & Informatics
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• v.10 no.2
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• pp.117-122
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• 2012

A sample size with sufficient statistical power is critical to the success of genetic association studies to detect causal genes of human complex diseases. Genome-wide association studies require much larger sample sizes to achieve an adequate statistical power. We estimated the statistical power with increasing numbers of markers analyzed and compared the sample sizes that were required in case-control studies and case-parent studies. We computed the effective sample size and statistical power using Genetic Power Calculator. An analysis using a larger number of markers requires a larger sample size. Testing a single-nucleotide polymorphism (SNP) marker requires 248 cases, while testing 500,000 SNPs and 1 million markers requires 1,206 cases and 1,255 cases, respectively, under the assumption of an odds ratio of 2, 5% disease prevalence, 5% minor allele frequency, complete linkage disequilibrium (LD), 1:1 case/control ratio, and a 5% error rate in an allelic test. Under a dominant model, a smaller sample size is required to achieve 80% power than other genetic models. We found that a much lower sample size was required with a strong effect size, common SNP, and increased LD. In addition, studying a common disease in a case-control study of a 1:4 case-control ratio is one way to achieve higher statistical power. We also found that case-parent studies require more samples than case-control studies. Although we have not covered all plausible cases in study design, the estimates of sample size and statistical power computed under various assumptions in this study may be useful to determine the sample size in designing a population-based genetic association study.