• Genomics & Informatics
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• 제9권3호
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• pp.114-120
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• 2011

Chronic inflammation has been implicated as one of the important etiological factors in insulin resistance and type 2 diabetes mellitus (T2DM). To investigate the role of anti-inflammatory cytokines in the development of T2DM, we conducted a case-control study to assess the association between IL4/IL4R polymorphisms and disease risk. We firstly identified single nucleotide poly-morphisms (SNP) at IL4 and IL4RA loci by sequencing the loci in Korean participants. Case-control studies were conducted by genotyping the SNPs in 474 T2DM cases and 470 non-diabetic controls recruited from community-based cohorts. Replication of the associated signals was performed in 1,216 cases and 1,352 controls. We assessed effect of IL4 -IL4RA interaction on T2DM using logistic regression method. The functional relevance of the SNP associated with disease risk was determined using a reporter expression assay. We identified a strong association between the IL4 promoter variant rs2243250 and T2DM risk (OR=0.77; 95% CI, 0.67~0.88; p=$1.65{\times}10^{－4}$ in the meta-analysis). The reporter gene expression assay demonstrated that the presence of rs2243250 might affect the gene expression level with ~1.5-fold allele difference. Our findings contribute to the identification of IL4 as a T2D susceptibility locus, further supporting the role of anti-inflammatory cytokines in T2DM disease development.

• Journal of the Korean Data and Information Science Society
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• 제21권3호
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• pp.387-395
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• 2010

인간의 질병 및 가축의 특성치에 관한 유전자 규명은 매우 중요한 과제이다. 유전자원 보존과 유전능력향상을 위한 기술 개발 역시 매우 중요한 관심사로써 이와 관련된 많은 연구들을 진행해왔다. 통계모형의 상호작용 효과를 분석하기 위해 로지스틱 회귀분석과 같은 전통적인 방법과 비모수적인 방법들이 개발되었지만 이들은 상호작용에 영향을 준 양적형질위치들의 하위 집단의 유전자형에 대해서 고려하지 않은 문제점이 있다. 따라서 많은 양적형질위치들을 한 번에 비교하여 특성치에 영향을 주는 양적형질위치의 상호작용과 그 하위집단인 유전자형을 규명하는 방법으로 유전자형 행렬 맵핑이 개발되었다. 본 연구에서는 EST_based SNP 연관지도에 의해 선정된 17개의 후보 단일염기다형성을 대상으로 유전자 행렬 맵핑을 활용하여 한우의 주요 경제형질인 일당증체량, 도체중, 등심단면적, 근내지방도에 영향을 주는 우수 유전자형 조합을 선별한다. 그리고 선별된 조합에 대해 유전자 행렬 맵핑 방법에서 적용되지 않은 순열검정을 도입함으로써 우수유전자형 조합에 대한 통계적인 유의성을 확인한다.

• Asian-Australasian Journal of Animal Sciences
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• 제21권6호
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• pp.784-788
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• 2008

Studies to detect genes responsible for economic traits in farm animals have been performed using parametric linear models. A non-parametric, model-free approach using the 'expanded multifactor-dimensionality reduction (MDR) method' considering high dimensionalities of interaction effects between multiple single nucleotide polymorphisms (SNPs), was applied to identify interaction effects of SNPs responsible for carcass traits in a Hanwoo beef cattle population. Data were obtained from the Hanwoo Improvement Center, National Agricultural Cooperation Federation, Korea, and comprised 299 steers from 16 paternal half-sib proven sires that were delivered in Namwon or Daegwanryong livestock testing stations between spring of 2002 and fall of 2003. For each steer at approximately 722 days of age, the Longssimus dorsi muscle area (LMA) was measured after slaughter. Three functional SNPs (19_1, 18_4, 28_2) near the microsatellite marker ILSTS035 on BTA6, around which the QTL for meat quality were previously detected, were assessed. Application of the expanded MDR method revealed the best model with an interaction effect between the SNPs 19_1 and 28_2, while only one main effect of SNP19_1 was statistically significant for LMA (p<0.01) under a general linear mixed model. Our results suggest that the expanded MDR method better identifies interaction effects between multiple genes that are related to polygenic traits, and that the method is an alternative to the current model choices to find associations of multiple functional SNPs and/or their interaction effects with economic traits in livestock populations.

• Asian-Australasian Journal of Animal Sciences
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• 제31권8호
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• pp.1150-1159
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• 2018

Objective: Non-synonymous single nucleotide polymorphisms (nsSNPs) were identified in Berkshire selective sweep regions and then were investigated to discover genetic nsSNP mechanisms that were potentially associated with Berkshire domestication and meat quality. We further used bioinformatics tools to predict damaging amino-acid substitutions in Berkshire-related nsSNPs. Methods: nsSNPs were examined in whole genome resequencing data of 110 pigs, including 14 Berkshire pigs, generated using the Illumina Hiseq2000 platform to identify variations that might affect meat quality in Berkshire pigs. Results: Total 65,550 nsSNPs were identified in the mapped regions; among these, 319 were found in Berkshire selective-sweep regions reported in a previous study. Genes encompassing these nsSNPs were involved in lipid metabolism, intramuscular fatty-acid deposition, and muscle development. The effects of amino acid change by nsSNPs on protein functions were predicted using sorting intolerant from tolerant and polymorphism phenotyping V2 to reveal their potential roles in biological processes that may correlate with the unique Berkshire meat-quality traits. Conclusion: Our nsSNP findings confirmed the history of Berkshire pigs and illustrated the effects of domestication on generic-variation patterns. Our novel findings, which are generally consistent with those of previous studies, facilitated a better understanding of Berkshire domestication. In summary, we extensively investigated the relationship between genomic composition and phenotypic traits by scanning for nsSNPs in large-scale whole-genome sequencing data.

• Genomics & Informatics
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• 제7권4호
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• pp.187-194
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• 2009

Cytochrome P450 2E1 (CYP2E1) is a member of the cytochrome P450 superfamily, and it is a key enzyme responsible for the metabolic activation of many smallmolecular-weight compounds such as alcohol, which is classified as a human carcinogen. In this study, we identified 19 single nucleotide polymorphisms (SNPs) in CYP2E1 in Korean population. In these SNPs, we examined possible genetic association of CYP2E1 polymorphisms with HBV clearance and the risk of hepatocellular carcinoma (HCC). Five common polymorphic sites were selected, CYP2E1 polymorphisms at rs381-3867, rs3813870, rs2070673, rs2515641 and rs2480257, considering their allele frequencies, haplotype-tagging status and LDs for genotyping in larger-scale subjects (n=1,092). Statistical analysis demonstrated that CYP2E1 polymorphisms and haplotypes show no significant association with HBV clearance, HCC occurrence and onset age of HCC (p>0.05). Previous studies, however, have shown contradictory findings on associations of CYP2E1 polymorphisms with CYP2E1 activities and HCC risk. Comparing the contrasting results of previous researches suggest that CYP2E1 polymorphism is associated with CYP2E1 activity induced by ethanol, but is not directly associated with HCC risk. CYP2E1 variation/haploype information identified in this study will provide valuable information for future studies on CYP2E1.

• Asian-Australasian Journal of Animal Sciences
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• 제21권5호
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• pp.628-632
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• 2008

Egg production traits are economically important both for egg-laying and broiler lines of chicken. In sheep, the Q249R mutation in BMPR-IB is associated with ovulation rate. The present study cloned a partial chicken BMPR-IB fragment which contained the corresponding ovine Q249R mutation, including partial exon 6 and exon 7 and full-length intron 6. Five nucleotide changes were identified by alignment of the fragment amplified from Jining Bairi and Zang chickens. Among these nucleotide substitutions, the C/T transition at the base position of 35 and the A/G transition at the base position of 287 were found to be highly polymorphic, and named as SNPs C35T and A287G, respectively. For the SNP C35T, 331 hens of a synthetic broiler line were genotyped by a PCR-SSCP approach and allele C was found to be dominant. For the SNP A287G, 604 birds from the synthetic broiler line, a commercial egg-laying line, as well as three Chinese indigenous chicken breeds were genotyped by a PCR-RFLP technique. The associations of these two SNPs with egg production traits in the broiler line were analyzed. The results indicated that both the C35T and the A287G SNPs were not associated with egg production at 33wks and from 33wks to 42 wks (p>0.1), whereas the SNP A287G was associated with egg production from 47 to 56 wks (p<0.05). The dominance genetic effects on this latter trait and on egg production from 33 to 42 wks were significant (p<0.05).

• Genomics & Informatics
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• 제14권4호
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• pp.196-204
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• 2016

Many researchers have found that one of the most important characteristics of the structure of linkage disequilibrium is that the human genome can be divided into non-overlapping block partitions in which only a small number of haplotypes are observed. The location and distribution of haplotype blocks can be seen as a population property influenced by population genetic events such as selection, mutation, recombination and population structure. In this study, we investigate the effects of the density of markers relative to the full set of all polymorphisms in the region on the results of haplotype partitioning for five popular haplotype block partition methods: three methods in Haploview (confidence interval, four gamete test, and solid spine), MIG++ implemented in PLINK 1.9 and S-MIG++. We used several experimental datasets obtained by sampling subsets of single nucleotide polymorphism (SNP) markers of chromosome 22 region in the 1000 Genomes Project data and also the HapMap phase 3 data to compare the results of haplotype block partitions by five methods. With decreasing sampling ratio down to 20% of the original SNP markers, the total number of haplotype blocks decreases and the length of haplotype blocks increases for all algorithms. When we examined the marker-independence of the haplotype block locations constructed from the datasets of different density, the results using below 50% of the entire SNP markers were very different from the results using the entire SNP markers. We conclude that the haplotype block construction results should be used and interpreted carefully depending on the selection of markers and the purpose of the study.

• Asian-Australasian Journal of Animal Sciences
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• 제28권11호
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• pp.1551-1557
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• 2015

The missing heritability has been a major problem in the analysis of best linear unbiased prediction (BLUP). We introduced the traditional genome-wide association study (GWAS) into the BLUP to improve the heritability estimation. We analyzed eight pork quality traits of the Berkshire breeds using GWAS and BLUP. GWAS detects the putative quantitative trait loci regions given traits. The single nucleotide polymorphisms (SNPs) were obtained using GWAS results with p value <0.01. BLUP analyzed with significant SNPs was much more accurate than that with total genotyped SNPs in terms of narrow-sense heritability. It implies that genomic estimated breeding values (GEBVs) of pork quality traits can be calculated by BLUP via GWAS. The GWAS model was the linear regression using PLINK and BLUP model was the G-BLUP and SNP-GBLUP. The SNP-GBLUP uses SNP-SNP relationship matrix. The BLUP analysis using preprocessing of GWAS can be one of the possible alternatives of solving the missing heritability problem and it can provide alternative BLUP method which can find more accurate GEBVs.

• Journal of Plant Biotechnology
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• 제48권1호
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• pp.26-33
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• 2021

당귀는 일반적으로 이용되는 대표적인 다년생의 약용식물이다. 최근 국제적 추세에 따라 자국의 유전자원의 발굴, 보존 등이 강화됨에 따라 인접국가와 국내 자생 당귀 계통을 판별할 수 있는 기준설정에 관한 연구의 필요성이 대두되고 있지만, 분자생물학적 판별 기술의 개발은 아직 미흡한 실정이다. 본 연구에서는 국내 토종 당귀인 참당귀와 세발당귀, 그리고 해외 유래 당귀 종의 기원을 판별하기 위해 핵의 리보솜에 존재하는 ITS 유전자단편에서 SNP를 이용한 판별 프라이머를 확보하였으며, 이를 보완하여 보다 신속하게 판별하기 위하여 ARMS-PCR 기술을 이용한 판별 마커와 그 조건을 확립하였다. 그러므로, 본 연구에서 개발된 SNP 마커는 다양한 지역 또는 국가에서 서식하는 당귀 종들의 신속한 확인을 위해 매우 유용하게 이용될 것으로 생각된다.

• Animal Bioscience
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• 제36권1호
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• pp.19-28
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• 2023

Objective: The objective of this study was to perform genome (genome wide association studies [GWAS]) and chromosome (CWAS) wide association analyses to identify single nucleotide polymorphisms (SNPs) associated with growth traits in registered Simmental and Simbrah cattle. Methods: The phenotypes were deregressed BLUP EBVs for birth weight, weaning weight direct, weaning weight maternal, and yearling weight. The genotyping was performed with the GGP Bovine 150k chip. After the quality control analysis, 105,129 autosomal SNP from 967 animals (473 Simmental and 494 Simbrah) were used to carry out genotype association tests. The two association analyses were performed per breed and using combined information of the two breeds. The SNP associated with growth traits were mapped to their corresponding genes at 100 kb on either side. Results: A difference in magnitude of posterior probabilities was found across breeds between genome and chromosome wide association analyses. A total of 110, 143, and 302 SNP were associated with GWAS and CWAS for growth traits in the Simmental-, Simbrah- and joint -data analyses, respectively. It stands out from the enrichment analysis of the pathways for RNA polymerase (POLR2G, POLR3E) and GABAergic synapse (GABRR1, GABRR3) for Simmental cattle and p53 signaling pathway (BID, SERPINB5) for Simbrah cattle. Conclusion: Only 6,265% of the markers associated with growth traits were found using CWAS and GWAS. The associated markers using the CWAS analysis, which were not associated using the GWAS, represents information that due to the model and priors was not associated with the traits.