• Toxicological Research
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• v.32 no.3
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• pp.195-205
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• 2016

This study was performed to select single nucleotide polymorphisms (SNPs) related to the body burden of heavy metals in Koreans, to provide Korean allele frequencies of selected SNPs, and to assess the difference in allele frequencies with other ethnicities. The candidate-gene approach method and genome-wide association screening were used to select SNPs related to the body burden of heavy metals. Genotyping analysis of the final 192 SNPs selected was performed on 1,483 subjects using the VeraCode Goldengate assay. Allele frequencies differences and genetic differentiations between the Korean population and Chinese (CHB), Japanese (JPT), Caucasian (CEU), and African (YIR) populations were tested by Fisher's exact test and fixation index ($F_{ST}$), respectively. The Korean population was genetically similar to the CHB and JPT populations ($F_{ST}$ < 0.05, for all SNPs in both populations). However, a significant difference in the allele frequencies between the Korean and CEU and YIR populations were observed in 99 SNPs (60.7%) and 120 SNPs (73.6%), respectively. Ten (6.1%) and 26 (16.0%) SNPs had genetic differentiation ($F_{ST}$ > 0.05) among the Korean-CEU and Korean-YIR comparisons, respectively. The SNP with the largest $F_{ST}$ value between the Korean and African populations was cystathionine-${\beta}$-synthase rs234709 ($F_{ST}$: KOR-YIR, 0.309; KOR-CEU, 0.064). Our study suggests that interethnic differences exist in SNPs associated with heavy metals of Koreans, and it should be considered in future studies that address ethnic differences in heavy-metal concentrations in the body and genetic susceptibility to the body burden of heavy metals.

• Analytical Science and Technology
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• v.35 no.4
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• pp.161-168
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• 2022

Wheat is rich in sources of fiber, oligosaccharides, and resistant starch, simple carbohydrates which may have a protective role against carcinoma. Additionally, Whole wheat/bran as well includes contains phytochemicals such as flavonoids, lignans, folate, phytosterols, phenolic acids, and tocols. The above phytochemicals suitable forms antioxidant and cholesterol-reducing activities. Phytoestrogens are regarded as especially essential in the preventative measures of hormonally dependent malignancies such as breast cancer (BC). In this study lowered BC risk has been associated with whole grain/bran consumption with an odds ratio (OR=0.24 and 95 %CI=0.10-0.56). Wheat/bran appears to have a reliable protective impact against BC. While intake of white bread has been associated with a high risk of BC (OR=2.63 and CI 95 %=1.07-6.48). Also, the E-Selectin (SELE) Single nucleotide polymorphisms (SNPs) rs5353 A/G and rs932307 C/T were investigated using the sanger sequences approach. There was a positive association between genotypes (rs5353 GG+AG) and (rs932307 TT+CT) with rate consumption of wheat-white/bread and these genotypes were more frequent in patients had BC in comparison with a significant difference (P=0.03) (P=0.01), respectively. The genotypes (GG+AG) frequency of the rs5353 polymorphism and (TT+CT) genotypes of the rs932307 polymorphism in the present study had a high risk of cancer with (OR=3.05), (OR=4.17) respectively. While these genotypes showed no significant association with the rate of whole grain consumption in patients and control. Therefore, the type of wheat may associate with increased incidence of disease-related with type of Polymorphism because some present genotypes of SNPs showed high (OR) which may refer to their positive associated with disease, the white wheat consumption may active the risky association between SNPs and BC.

• Korean Journal of Agricultural Science
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• v.38 no.4
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• pp.673-680
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• 2011

The aim of this study was to identify the polymorphism on fatty acid binding protein (FABP4) gene promoter region and its association with carcass traits in Hanwoo. We performed PCR-direct sequencing of FABP4 promoter region to identify single nucleotide polymorphism (SNPs) using unrelated 24 Hanwoo bulls. Four SNPs (-298A>G, -472A>G, -887A>G, -862A>G) were detected in the promoter region and genotyped on 583 Hanwoo steers. A linear mixed model revealed an association of three SNPs (-298A>G, -472A>G and -862A>G) with carcass weight and marbling score in dominance model (P<0.05). The animals with AA genotypes for the three SNPs were heavier carcass weight (5 kg) than animals with GG genotypes in the statistical analysis. For the marbling score, the AA genotype was lower effect of marbling score (0.21) than GG genotypes. In conclusion, this study indicates an important role for three SNPs detected in promoter region of FABP4 in determining carcass weight and marbling score in Hanwoo.

• Asian-Australasian Journal of Animal Sciences
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• v.29 no.3
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• pp.315-320
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• 2016

Porcine beta-defensin-1 (PBD-1) gene plays an important role in the innate immunity of pigs. The peptide encoded by this gene is an antimicrobial peptide that has direct activity against a wide range of microbes. This peptide is involved in the co-creation of an antimicrobial barrier in the oral cavity of pigs. The objective of the present study was to detect polymorphisms, if any, in exon-1 and exon-2 regions of PBD-1 gene in Large White Yorkshire (LWY) and native Ankamali pigs of Kerala, India. Blood samples were collected from 100 pigs and genomic DNA was isolated using phenol chloroform method. The quantity of DNA was assessed in a spectrophotometer and quality by gel electrophoresis. Exon-1 and exon-2 regions of PBD-1 gene were amplified by polymerase chain reaction (PCR) and the products were subjected to single strand conformation polymorphism (SSCP) analysis. Subsequent silver staining of the polyacrylamide gels revealed three unique SSCP banding patterns in each of the two exons. The presence of single nucleotide polymorphisms (SNPs) was confirmed by nucleotide sequencing of the PCR products. A novel SNP was found in the 5'-UTR region of exon-1 and a SNP was detected in the mature peptide coding region of exon-2. In exon-1, the pooled population frequencies of GG, GT, and TT genotypes were 0.67, 0.30, and 0.03, respectively. GG genotype was predominant in both the breeds whereas TT genotype was not detected in LWY breed. Similarly, in exon-2, the pooled population frequencies of AA, AG, and GG genotypes were 0.50, 0.27, and 0.23, respectively. AA genotype was predominant in LWY pigs whereas GG genotype was predominant in native pigs. These results suggest that there exists a considerable genetic variation at PBD-1 locus and further association studies may help in development of a PCR based genotyping test to select pigs with better immunity.

• Korean Journal of Agricultural Science
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• v.39 no.4
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• pp.577-581
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• 2012

The polymorphisms of several genes including Leptin (LEP), beta-lactoglobulin (LGB) and Prolactin receptor (PRLR) have been shown to affect milk composition traits in dairy cattle. But, the effects of these polymorphisms on the milk traits of Philippine water buffalo are still unclear. In the Philippines, buffalo are the major milk producers most of which are the Philippine carabao (PC), the American Murrah Buffalo (AMB) and Bulgarian Murrah Buffalo (BMB). The LEP, LGB and PRLR genes are considered to be associated with milk production traits. The objective of the present study was to identify the single nucleotide polymorphisms (SNPs) in the LEP, LGB and PRLR genes of PC, AMB and BMB and to investigate the effect of the SNPs on milk production traits in these buffalo. Genetic polymorphisms were screened by DNA sequencing and 12 SNPs were detected in BMB; 5 SNPs were in LEP exon3 region (G14227A, G14343A, T14502C, C14526T, G14603A); 5 SNPs were in LGB exon 2 region (G1861C, A1900G, G1901T, T1948C, G1949A); 2 SNPs were in PRLR exon 6 (T59047C, T59109C). Also, 12 polymorphism sites between cattle and buffalo were identified. Our analysis of the association between SNPs and milk production traits should be useful in future studies of buffalo breeding to improve lactation performance.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.9
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• pp.1221-1225
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• 2005

The peroxisome proliferator-activated receptors (PPARs) are members of a superfamily of nuclear hormone receptors. Lots of studies in rodents and humans have shown that PPARs were involved in lipid metabolism and adipocyte differentiation. The main objective of this work was to detect the single nucleotide polymorphisms (SNPs) in whole coding regions of peroxisome proliferator-activated receptor alpha (PPAR-$\alpha$) and gamma (PPAR-$\gamma$) genes with approach of single strand conformation polymorphism (SSCP) in the chicken population of Arber Acres broiler, Hyline layer and three Chinese native breeds (Shiqiza, Beijing You, Bai'r). Two SNPs of C1029T and C297T were found in chicken PPAR-$\alpha$ and PPAR-$\gamma$ genes respectively and each SNP found three genotypes in the experimental populations. The results showed that the distribution frequency of 3 genotypes in Arber Acres broiler, Hyline layer and Chinese native breeds had significant differences on the PPAR-$\alpha$ and PPAR-$\gamma$ gene respectively (p<0.01). Furthermore, in the PPAR-$\alpha$ gene, the results of least square estimation for genotypes and body composition traits showed the BB genotype birds had higher abdominal fat weight (AFW) and percentage of abdominal fat (AFP) than AA genotype birds (p<0.05). From these we conjecture the PPAR-$\alpha$ and PPAR-$\gamma$ genes were suffered intensive selection during the long term commercial breeding and the PPAR-$\alpha$ gene may be a major gene or linked to the major genes that impact chicken fat metabolism and the SNPs could be used in molecular assistant selection (MAS) as a genetic marker for the chicken fatness traits.

• Genomics & Informatics
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• v.13 no.4
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• pp.146-151
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• 2015

Previous studies in Holstein have shown 35% to 51.8% heritability in milk production traits, such as milk yield, fat, and protein, using pedigree data. Other studies in complex human traits could be captured by common single-nucleotide polymorphisms (SNPs), and their genetic variations, attributed to chromosomes, are in proportion to their length. Using genome-wide estimation and partitioning approaches, we analyzed three quantitative Holstein traits relevant to milk production in Korean Holstein data harvested from 462 individuals genotyped for 54,609 SNPs. For all three traits (milk yield, fat, and protein), we estimated a nominally significant (p = 0.1) proportion of variance explained by all SNPs on the Illumina BovineSNP50 Beadchip ($h^2_G$). These common SNPs explained approximately most of the narrow-sense heritability. Longer genomic regions tended to provide more phenotypic variation information, with a correlation of 0.46~0.53 between the estimate of variance explained by individual chromosomes and their physical length. These results suggested that polygenicity was ubiquitous for Holstein milk production traits. These results will expand our knowledge on recent animal breeding, such as genomic selection in Holstein.

• Journal of Plant Biotechnology
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• v.43 no.1
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• pp.1-11
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• 2016

Single nucleotide polymorphism (SNP) is an abundant form of genetic variation within individuals of species. DNA polymorphism can arise throughout the whole genome at different frequencies in different species. SNP may cause phenotypic diversity among individuals, such as individuals with different color of plants or fruits, fruit size, ripening, flowering time adaptation, quality of crops, grain yields, or tolerance to various abiotic and biotic factors. SNP may result in changes in amino acids in the exon of a gene (asynonymous). SNP can also be silent (present in coding region but synonymous). It may simply occur in the noncoding regions without having any effect. SNP may influence the promoter activity for gene expression and finally produce functional protein through transcription. Therefore, the identification of functional SNP in genes and analysis of their effects on phenotype may lead to better understanding of their impact on gene function for varietal improvement. In this mini-review, we focused on evidences revealing the role of functional SNPs in genes and their phenotypic effects for the purpose of crop improvements.

• Korean Journal of Biological Psychiatry
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• v.16 no.2
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• pp.121-126
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• 2009

Objectives : The serotonin transporter gene(SLC6A4) is one of the most widely studied candidate genes in autism spectrum disorder(ASD), but there have been conflicting results from studies into the association between SLC6A4 and ASD. The aim of this study was to evaluate the association between single nucleotide polymorphisms(SNPs) in the SLC6A4 gene and ASD in the Korean population. Methods : We selected 12 SNPs in SLC6A4 and observed the genotype of 151 Korean ASD trios. We tested the family-based association for each individual polymorphism and haplotype by using the standard TDT method in Haploview(http://www.broad.mit.edu/mpg/haploview/). Results : Through transmission-disequilibrium testing and haplotype analysis, we could not find any statistically significant transmitted allele or haplotype. In addition, a case-control association test with Korean HapMap data did not reveal any statistical significance. Conclusion : Although serotonin-related genes must be considered candidate genes for ASD, we suggest that common SNPs of SLC6A4 are not important markers for associations with Korean ASD.

• Asian-Australasian Journal of Animal Sciences
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• v.29 no.1
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• pp.36-42
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• 2016

Milk-related traits (milk yield, fat and protein) have been crucial to selection of Holstein. It is essential to find the current selection trends of Holstein. Despite this, uncovering the current trends of selection have been ignored in previous studies. We suggest a new formula to detect the current selection trends based on single nucleotide polymorphisms (SNP). This suggestion is based on the best linear unbiased prediction (BLUP) and the Fisher's fundamental theorem of natural selection both of which are trait-dependent. Fisher's theorem links the additive genetic variance to the selection coefficient. For Holstein milk production traits, we estimated the additive genetic variance using SNP effect from BLUP and selection coefficients based on genetic variance to search highly selective SNPs. Through these processes, we identified significantly selective SNPs. The number of genes containing highly selective SNPs with p-value <0.01 (nearly top 1% SNPs) in all traits and p-value <0.001 (nearly top 0.1%) in any traits was 14. They are phosphodiesterase 4B (PDE4B), serine/threonine kinase 40 (STK40), collagen, type XI, alpha 1 (COL11A1), ephrin-A1 (EFNA1), netrin 4 (NTN4), neuron specific gene family member 1 (NSG1), estrogen receptor 1 (ESR1), neurexin 3 (NRXN3), spectrin, beta, non-erythrocytic 1 (SPTBN1), ADP-ribosylation factor interacting protein 1 (ARFIP1), mutL homolog 1 (MLH1), transmembrane channel-like 7 (TMC7), carboxypeptidase X, member 2 (CPXM2) and ADAM metallopeptidase domain 12 (ADAM12). These genes may be important for future artificial selection trends. Also, we found that the SNP effect predicted from BLUP was the key factor to determine the expected current selection coefficient of SNP. Under Hardy-Weinberg equilibrium of SNP markers in current generation, the selection coefficient is equivalent to $2^*SNP$ effect.