• 대한한방내과학회지
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• 제36권4호
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• pp.547-561
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• 2015

Objectives In this study, we divided Korean asthma patients into excess syndrome or deficiency syndrome groups according to clinical phenotype. Genetic analysis was conducted to investigate the association of exonic SNPs in the CD46 gene polymorphism with the clinical phenotype based on the differentiation syndrome of the bronchial asthma patients.Methods There were 95 healthy patients (control group) and 53 asthma patients. (The deficiency syndrome group included 24 and the excess syndrome group 29). We searched the exonic areas of the CD46 gene in the NCBI website SNPs with <0.01 minor allele frequency (MAF) and <0.01 heterozygosity. We finally selected two SNPs: rs138843816, Ser13Phe and rs7144, 3’-UTR. Hardy-Weinberg equilibrium was calculated using SNPStats.Results There were significant differences in the codominant 1 model and the dominant model between the healthy group and the asthma group. There were significant differences between deficiency syndrome group and the excess syndrome group in the genotype frequencies and in the codominant 1 model, the dominant model, and the log-additive model. The allele frequency of rs7144C showed a significant difference between the deficiency syndrome group and the excess syndrome group. Two-SNP haplotype analysis showed a significant difference in frequency in the deficiency syndrome group and in the excess syndrome group. There were significant differences between the healthy group and the excess syndrome group in the codominant 1 model, the dominant model, and the log-additive model. The frequency of the rs7144 C allele exhibited a significant difference in the demonstration. SNP haplotype analysis between the healthy group and the excess syndrome group showed a significant difference in the frequency of the CT haplotype and the CC haplotype.Conclusions The results indicate that two CD46 SNPs (rs138843816, Ser13Phe and rs7144, 3′–UTR) might be associated with the symptomatic excess syndrome in Korean asthma patients.

• 대한예방한의학회지
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• 제14권1호
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• pp.111-123
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• 2010

Backgrounds : Stroke is characterized by loss of brain functions due to a disturbance in the blood vessels supplying blood to the brain, and classified into hemorrhage and ischemia. Stroke is known to be affected by genetic factors and other diseases such as hypertension and cardiovascular diseases. However, the distinctive association between stroke and genetic variations has not discovered yet. Objectives : This study investigated the effects of fibrinogen level and genetic variations in FGA (Fibrinogen alpha chain) gene on stroke in Korean stroke patients and controls. Methods : DNA samples from 674 stroke patients diagnosed by Oriental medical hospitals and 267 controls were used in this study. Two common single nucleotide polymorphism(SNP) with high minor allele frequency(MAF), rs2070011G/A of promoter region and nonsynonymous rs6050A/G of exon 5 in FGA gene, were targeted for Taqman genotyping. Because the TOAST classification is important to the factors and symptoms of stroke, ischemic patients were further classified into five subtypes using diagnosis and clinical data. One-way ANOVA and chi-square test were used for clinical data and genetic association, respectively. Haploview v4.1 program was used for linkage disequilibrium(LD), haplotype and haplotype block analysis. Results : The levels of red blood cells and fibrinogen from clinical data were shown to be significant factors for the sub-groups of TOAST classification. No significant associations of stroke, hemorrhage, ischemic and subtypes of TOAST with rs2070011 and rs6050 of FGA gene were found(P > 0.05). However, rs2070011 in promoter region and nonsynonymous rs6050 in exon 5 which produce the amino acid change from threonine to alanine showed a haplotype block and three haplotypes of A-G, G-A, A-A, suggesting that rs2070011 and rs6050 might be co-segregated in generic recombination. Although A-A haplotype of stroke patients showed 64-69% low frequency compared to controls, there was no significant association between stroke and haplotype(P > 0.05). Conclusion : This study showed that there was no significant association between stroke and two SNP of rs2070011G/A and nonsynonymous rs6050A/G in FGA gene. However, these two SNP compose a haplotype block and three haplotypes of A-G, G-A, A-A. This finding suggests that rs2070011 and rs6050 are so close as to be positioned as linkage disequilibrium. Nevertheless, no significant association between haplotypes and stroke was found.

• Asian-Australasian Journal of Animal Sciences
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• 제31권4호
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• pp.473-479
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• 2018

Objective: The study was designed to perform a genome-wide association (GWA) and partitioning of genome using Illumina's PorcineSNP60 Beadchip in order to identify variants and determine the explained heritability for the total number of teats in Yorkshire pig. Methods: After screening with the following criteria: minor allele frequency, $MAF{\leq}0.01$; Hardy-Weinberg equilibrium, $HWE{\leq}0.000001$, a pair-wise genomic relationship matrix was produced using 42,953 single nucleotide polymorphisms (SNPs). A genome-wide mixed linear model-based association analysis (MLMA) was conducted. And for estimating the explained heritability with genome- or chromosome-wide SNPs the genetic relatedness estimation through maximum likelihood approach was used in our study. Results: The MLMA analysis and false discovery rate p-values identified three significant SNPs on two different chromosomes (rs81476910 and rs81405825 on SSC8; rs81332615 on SSC13) for total number of teats. Besides, we estimated that 30% of variance could be explained by all of the common SNPs on the autosomal chromosomes for the trait. The maximum amount of heritability obtained by partitioning the genome were $0.22{\pm}0.05$, $0.16{\pm}0.05$, $0.10{\pm}0.03$ and $0.08{\pm}0.03$ on SSC7, SSC13, SSC1, and SSC8, respectively. Of them, SSC7 explained the amount of estimated heritability along with a SNP (rs80805264) identified by genome-wide association studies at the empirical p value significance level of 2.35E-05 in our study. Interestingly, rs80805264 was found in a nearby quantitative trait loci (QTL) on SSC7 for the teat number trait as identified in a recent study. Moreover, all other significant SNPs were found within and/or close to some QTLs related to ovary weight, total number of born alive and age at puberty in pigs. Conclusion: The SNPs we identified unquestionably represent some of the important QTL regions as well as genes of interest in the genome for various physiological functions responsible for reproduction in pigs.