• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 공동추계학술대회
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• pp.258-263
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• 2005

Haplotype-based analysis using high-density SNP markers have gained a great attention in evaluating genes in gene analysis and various clinical situations. However, there has been no research on disease diagnostic modeling based on SNPs analysis to our knowledge. The purpose of this study is to explore how knowledge discovery techniques are applied in medical informatics area and proposes a Case Based Reasoning (CBR) technique for diagnosis of gastric caner using Single Nucleotide Polymorphism(SNP).

• Journal of Plant Biotechnology
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• 제48권2호
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• pp.71-76
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• 2021

당귀는 약용으로 널리 사용되는 대표적인 다년생 식물이다. 다양한 당귀 계통의 유전적 다양성에 대한 정보는 당귀의 유전자원의 발굴 및 보존의 차원에서 매우 중요하다. 당귀는 현재 한국에 등록 된 중요한 약용 식물 종이지만, 다른 나라의 다른 유사한 종과 구별 할 수 있는 분자표지가 없는 실정이다. 그러므로, 본 연구에서는 HRM 분석을 통해 국내 토종 당귀계통인 참당귀를 식별하기 위해 유전체 염기서열의 핵리보솜 DNA 내부(ITS)영역에서 단일염기다형성(SNP) 분자 표지를 개발하였다. 본 연구에서는 또한 5가지 당귀계통들의 혼합된 염색체 DNA 시료를 이용하여 HRM 분석을 수행하였으며, 최종적으로는 혼합된 염색체 DNA의 다양한 비율을 사용하여 혼용되는 대표적인 당귀계통인 참당귀와 중국 당귀를 재료로 HRM 분석을 진행하였다. 그러므로, 본 연구에서 개발된 SNP 분자표지는 다양한 지역 또는 국가에서 서식하는 당귀 계통들의 신속한 확인을 위해 매우 유용하게 이용될 것으로 생각된다.

• Genomics & Informatics
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• 제8권3호
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• pp.116-121
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• 2010

The association between adiponectin concentration and obesity have been reported and genetic variations of the ADIPOQ gene are known to influence the plasmatic concentration of adiponectin. Therefore, we investigated the effect of AIPOQ single nucleotide polymorphism (SNP) on obesity-related variables, and their modulation by dietary intakes in Korean women. The subjects consisted of 3,217 Korean women aged 40-59 years participating in the Korean Genome Epidemiology Study (KoGES). The general characteristics, anthropometric variables, serum blood profiles were measured. Dietary intake was analyzed using the Food Frequency Questionnaire. Subjects with the T allele of AIPOQ rs182052 showed significantly higher obesity-related variables such as weight (p=0.005), BMI (p<0.000), fat body mass (p=0.005), and waist-hip ratio (p=0.007) than those with the C allele. Moreover, the rs182052 T allele was associated with an increased risk of obesity prevalence (p=0.019). However, there were not any significant interactions observed between the genotype of ADIPOQ rs182052 and dietary intake on BMI and fat body mass. These findings suggest that the obesity-related variables may be more dominantly affected by the genotype of ADIPOQ rs182052 than dietary intake in middle aged Korean women.

• Asian-Australasian Journal of Animal Sciences
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• 제32권4호
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• pp.508-518
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• 2019

Objective: This research aimed to determine biological pathways and protein-protein interaction (PPI) networks for 305-d milk yield (MY), 305-d fat yield (FY), and age at first calving (AFC) in the Thai multibreed dairy population. Methods: Genotypic information contained 75,776 imputed and actual single nucleotide polymorphisms (SNP) from 2,661 animals. Single-step genomic best linear unbiased predictions were utilized to estimate SNP genetic variances for MY, FY, and AFC. Fixed effects included herd-year-season, breed regression and heterosis regression effects. Random effects were animal additive genetic and residual. Individual SNP explaining at least 0.001% of the genetic variance for each trait were used to identify nearby genes in the National Center for Biotechnology Information database. Pathway enrichment analysis was performed. The PPI of genes were identified and visualized of the PPI network. Results: Identified genes were involved in 16 enriched pathways related to MY, FY, and AFC. Most genes had two or more connections with other genes in the PPI network. Genes associated with MY, FY, and AFC based on the biological pathways and PPI were primarily involved in cellular processes. The percent of the genetic variance explained by genes in enriched pathways (303) was 2.63% for MY, 2.59% for FY, and 2.49% for AFC. Genes in the PPI network (265) explained 2.28% of the genetic variance for MY, 2.26% for FY, and 2.12% for AFC. Conclusion: These sets of SNP associated with genes in the set enriched pathways and the PPI network could be used as genomic selection targets in the Thai multibreed dairy population. This study should be continued both in this and other populations subject to a variety of environmental conditions because predicted SNP values will likely differ across populations subject to different environmental conditions and changes over time.

• 한국양봉학회지
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• 제32권3호
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• pp.147-154
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• 2017

꿀벌은 화분매개 뿐만 아니라, 양봉산물을 생산하는 주요한 산업곤충 중 하나이다. 최근 농촌진흥청과 예천곤충 연구소에서는 국내 최초로 수밀력 우수 꿀벌 품종인 '장원벌'을 선발하여 보급하고 있다. 본 연구에서는 장원벌 계통 특이 분자 마커 개발을 위해 장원벌 부계인 D계통 특이적인 분자 마커를 개발 하고자 Sequence-Based Genotyping (SBG) 분석을 수행하였다. SGB 분석은 농촌진흥청 국립농업과학원에서 보존 육성중인 A, C, D, E, F 5개 기본종 계통에 대해 수행되었으며, 이를 통해 1,029개 SNP를 확보 할 수 있었다. 이후 A, C, D, F, E 기본종 계통 및 $D{\times}F$ 교배계통에 대한 SNP filtering 및 validation을 통해 최종적으로 AmD6 및 AmD9 두 개의 SNP 마커를 선발 하였으며, genotyping 분석을 통해 AmD9 마커가 장원벌 부계인 D 계통을 100% 구분 할 수 있는 것으로 확인되었다. 본 마커를 통해 D 계통 및 장원벌을 보다 정확하게 판별하고 육종에 활용 할 수 있을 것으로 기대하고 있다.

• 한국정보과학회논문지:시스템및이론
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• 제33권6호
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• pp.316-325
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• 2006

인간과 같은 2배체의 각 염색체는 부모로부터 물려받은 2벌의 복제로 이루어져 있다. 이들 각 복제에서 SNP(single nucleotide polymorphism) 서열 정보를 하플로타입이라 부른다. 인간의 하플로타입 지도를 완전히 찾는 것은 인간 지놈의 중요한 작업 중의 하나인데, 실험적인 방법으로 하플로타입을 직접 얻는 것은 시간이 많이 걸리고 비용이 많이 든다. 따라서 두 하플로타입 정보가 혼합된 지노타입의 샘플들로부터 하플로타입을 추론하는 것에 대하여 연구되어왔다. 이 논문에서는 지노타입들을 설명하는 최소 개수의 하플로타입들을 찾는 모델(최소 하플로타입 추론문제)에 근거하여, 유전자 알고리즘을 사용하여 하플로타입을 추론하는 새로운 접근 방법을 제시한다. 좋은 결과를 주는 것으로 알려진 HAPAR[1]와 이 논문에 제시한 알고리즘을 컴퓨터 실험에 의한 비교를 통하여, 입력이 클 때 이 논문의 알고리즘이 수행시간은 적게 걸리면서 정확성이 비슷함을 보인다. 또한 이 실험 결과를 최근에 제시된 방법인 PTG[2]와 비교한다.

• Asian-Australasian Journal of Animal Sciences
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• 제27권9호
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• pp.1219-1227
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• 2014

A whole genome association (WGA) study was carried out to find quantitative trait loci (QTL) for sensory evaluation traits in Hanwoo. Carcass samples of 250 Hanwoo steers were collected from National Agricultural Cooperative Livestock Research Institute, Ansung, Gyeonggi province, Korea, between 2011 and 2012 and genotyped with the Affymetrix Bovine Axiom Array 640K single nucleotide polymorphism (SNP) chip. Among the SNPs in the chip, a total of 322,160 SNPs were chosen after quality control tests. After adjusting for the effects of age, slaughter-year-season, and polygenic effects using genome relationship matrix, the corrected phenotypes for the sensory evaluation measurements were regressed on each SNP using a simple linear regression additive based model. A total of 1,631 SNPs were detected for color, aroma, tenderness, juiciness and palatability at 0.1% comparison-wise level. Among the significant SNPs, the best set of 52 SNP markers were chosen using a forward regression procedure at 0.05 level, among which the sets of 8, 14, 11, 10, and 9 SNPs were determined for the respectively sensory evaluation traits. The sets of significant SNPs explained 18% to 31% of phenotypic variance. Three SNPs were pleiotropic, i.e. AX-26703353 and AX-26742891 that were located at 101 and 110 Mb of BTA6, respectively, influencing tenderness, juiciness and palatability, while AX-18624743 at 3 Mb of BTA10 affected tenderness and palatability. Our results suggest that some QTL for sensory measures are segregating in a Hanwoo steer population. Additional WGA studies on fatty acid and nutritional components as well as the sensory panels are in process to characterize genetic architecture of meat quality and palatability in Hanwoo.

• Asian Pacific Journal of Cancer Prevention
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• 제16권6호
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• pp.2489-2493
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• 2015

Background: Loss of heterozygosity (LOH) on chromosomal regions is crucial in tumor progression and this study aimed to identify genome-wide LOH in pancreatic cancer. Materials and Methods: Single-nucleotide polymorphism (SNP) profiling data GSE32682 of human pancreatic samples snap-frozen during surgery were downloaded from Gene Expression Omnibus database. Genotype console software was used to perform data processing. Candidate genes with LOH were screened based on the genotype calls, SNP loci of LOH and dbSNP database. Gene annotation was performed to identify the functions of candidate genes using NCBI (the National Center for Biotechnology Information) database, followed by Gene Ontology, INTERPRO, PFAM and SMART annotation and UCSC Genome Browser track to the unannotated genes using DAVID (the Database for Annotation, Visualization and Integration Discovery). Results: The candidate genes with LOH identified in this study were MCU, MICU1 and OIT3 on chromosome 10. MCU was found to encode a calcium transporter and MICU1 could encode an essential regulator of mitochondrial $Ca^{2+}$ uptake. OIT3 possibly correlated with calcium binding revealed by the annotation analyses and was regulated by a large number of transcription factors including STAT, SOX9, CREB, NF-kB, PPARG and p53. Conclusions: Global genomic analysis of SNPs identified MICU1, MCU and OIT3 with LOH on chromosome 10, implying involvement of these genes in progression of pancreatic cancer.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.145-145
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• 2017

Foxglove aphid, Aulacorthum solani (Kaltenbach), is a Hemipteran insect that infected a wide variety of plants worldwide and caused serious yield losses in crops. The objective of this study was to identify the putative genes to foxglove aphid resistance in wild soybean, PI 366121 (Glycine soja Sieb. and Zucc.). One hundred and forty-one F4:8 recombinant inbred lines developed from a cross between susceptible variety, Williams 82 and foxglove aphid resistance wild soybean, PI 366121 were used. The two type of resistance response, antibiosis and antixenosis resistance were evaluated through choice and no-choice test, graded by the degree of total plant damage and primary infestation leaf damage; a genome-wide molecular linkage map was constructed with 29,898 single-nucleotide polymorphism markers utilizing a Axiom(R) 180K soyaSNP array. Using inclusive composite interval mapping analysis for foxglove aphid resistance, one major candidate QTL on chromosome 7 was identified. The major QTL on chromosome 7 showed both antixenosis and antibiosis resistance responses. The newly identified major QTL was consistent with previously reported QTL, Raso2, which showed around 5 times narrow down interval range with 8 candidate genes. Furthermore, total 1,115 soybean varieties including Glycine soja and Glycine max were exposed to germplasm screening, and 31 varieties, which showed significant antibiosis type foxglove aphid resistance were identified. This result could be useful in breeding for new foxglove aphid resistant soybean cultivars and developing novel insecticides.

• Asian-Australasian Journal of Animal Sciences
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• 제30권11호
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• pp.1540-1549
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• 2017

Objective: Increasing food safety demands in the animal product market have created a need for a system to trace the food distribution process, from the manufacturer to the retailer, and genetic traceability is an effective method to trace the origin of animal products. In this study, we successfully achieved the farm tracing of 6,018 multi-breed pigs, using single nucleotide polymorphism (SNP) markers strictly selected through least absolute shrinkage and selection operator (LASSO) feature selection. Methods: We performed farm tracing of domesticated pig (Sus scrofa) from SNP markers and selected the most relevant features for accurate prediction. Considering multi-breed composition of our data, we performed feature selection using LASSO penalization on 4,002 SNPs that are shared between breeds, which also includes 179 SNPs with small between-breed difference. The 100 highest-scored features were extracted from iterative simulations and then evaluated using machine-leaning based classifiers. Results: We selected 1,341 SNPs from over 45,000 SNPs through iterative LASSO feature selection, to minimize between-breed differences. We subsequently selected 100 highest-scored SNPs from iterative scoring, and observed high statistical measures in classification of breeding farms by cross-validation only using these SNPs. Conclusion: The study represents a successful application of LASSO feature selection on multi-breed pig SNP data to trace the farm information, which provides a valuable method and possibility for further researches on genetic traceability.