• ETRI Journal
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• v.37 no.2
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• pp.212-221
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• 2015

As the amount of re-sequencing genome data grows, minimizing the execution time of an analysis is required. For this purpose, recent computing systems have been adopting both high-performance coprocessors and host processors. However, there are few applications that efficiently utilize these heterogeneous computing resources. This problem equally refers to the work of single nucleotide polymorphism (SNP) detection, which is one of the bottlenecks in genome data processing. In this paper, we propose a method for speeding up an SNP detection by enhancing the utilization of heterogeneous computing resources often used in recent high-performance computing systems. Through the measurement of workload in the detection procedure, we divide the SNP detection into several task groups suitable for each computing resource. These task groups are scheduled using a window overlapping method. As a result, we improved upon the speedup achieved by previous open source applications by a magnitude of 10.

• Journal of Korean Society of Forest Science
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• v.81 no.4
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• pp.320-324
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• 1992

It has been reported that there are two distinct phenotypes in Fraxinus mandshurica Rupr. growing in Korea. Recently developed polymerase chain reaction(PCR) was used to detect DNA sequence polymorphism in the species. Using a thermostable DNA polymerase and synthetic DNA primers, unknown DNA sequences from the species were randomly amplified. The two types of the species produced different DNA amplification pattern with three different primers tested. Although DNA polymorphism was detected among individuals within types, each type has its own distinct pattern. The two types could be easily differentiated by trier characteristic predominant bands.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.17
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• pp.7479-7486
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• 2014

Background: Colorectal cancer (CRC) is one of the most common cancers worldwide. This study aimed to investigate the interaction between the presence of a polymorphism of the XRCC1 gene and known risk factors for colorectal cancer in Thailand. Materials and Methods: A hospital-based case-control study was conducted in Thailand. The participants were 230 histologically confirmed new cases and 230 controls matched by sex and age and recruited from the same hospital. Information about demographic characteristics, life style, and dietary habits was collected using structured interviews, and blood samples were taken which were used for the detection of a homozygous and heterozygous polymorphisms of XRCC1. Associations were assessed using multiple conditional logistic regression. Results: In the univariate analysis, factors found to be significantly associated with an increased risk for CRC were the presence of the XRCC1 AA homozygote (OR= 4.95; 95% CI: 1.99-12.3), a first degree family history of cancer (OR= 1.74; 95% CI: 1.18-2.58), and a high frequency of pork consumption (OR= 1.49; 95% CI: 1.00-2.21). Intakes of fish fruit and vegetables appeared to be protective factors, but the associations were not statistically significant. In the multivariate analysis only the XRCC1 AA homozygote polymorphism and a family history of cancer emerged as risk factors (OR= 4.96; 95% CI: 1.90- 12.95 and OR=1.80; 95% CI: 1.18-2.72, respectively). Conclusions: While the XRCC1 AA homozygote and a family history of cancer were found to be associated with an increased risk of CRC, none of the dietary intake variables were clearly identified as risk or protective factors. There is a need for further research to determine the reasons for this.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.5303-5306
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• 2012

Aim: The present case-control study was conducted to explore the association of MTHFR gene polymorphism and relations of P16, MGMT and HMLH1 to MTHFR and folate intake. Methods: A total of 257 cases of esophageal squamous cell carcinoma confirmed by histopathological examination were collected. Genotyping of P16, MGMT and HMLH1 was accomplished by methylation-specific polymerase chain reaction (PCR) after sodium bisulfate modification of DNA and the MTHFR C677T genetic polymorphism was detected by PCR-restriction fragment-length polymorphism (PCR-RFLP). Results: The proportions of DNA hypermethylation in P16, MGMT and hMLH1 in cancer tissues were significantly higher than in paracancerous normal tissue. The proportion of hypermethylation in at least one gene was 88.5% in cancer tissue, and was also significantly higher than that in paracancerous normal tissue. Our finding showed individuals with homozygotes (TT) of MTHFR C677T had significant risk of DNA hypermethylation of MGMT in cancer tissues, with an OR (95% CI) of 3.15 (1.12-6.87). Similarly, patients with high intake of folate also showed a slight high risk of DNA methylation of MGMT, with OR (95% CI) of 2.03 (1.05-4.57). Conclusion: Our study found the P16, MGMT and hMLH1 demonstrate a high proportion of hypermethylation in esophageal squamous cell cancer cancer tissues, which might be used as biomarkers for cancer detection.

• Journal of Life Science
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• v.21 no.1
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• pp.15-21
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• 2011

Cultivated tomato, Lycopersicum esculentum, is a very important crop. We selected 36 cultivars and studied them for identification and polymorphism by employing random amplified DNA (RAPD) analysis with 80 oligonucleotide primers. Of the 80 primers, 36 primers (45.0%) were polymorphic. Detection of polymorphism in cultivated tomato opens up the possibility of development of its molecular map by judicious selection of genotypes. Molecular markers can also be used for cultivar identification and protection of the plant breeder's intellectual property rights (plant breeders' rights, PBRs). As an example, DNA polymorphism using OPC-13 primer that did not produce the OPC-13-01 band was only found in Junk Pink and Ailsa Craighp cultivars. OPA-12-03 and OPB-15-07 were fragments specific to the TK-70 cultivar and were absent in other cultivars. DNA polymorphism in cultivated tomato in this study was correlated with a type of inflorescence, although some cultivars had exceptions. These approaches will be useful for developing marker-assisted selection tools for genetic enhancement of the tomato plant for desirable traits.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.7
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• pp.3065-3069
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• 2016

Single nucleotide polymorphism (SNP) detection has been used extensively for genetic association studies of diseases including cancer. For mass, yet accurate and more economic SNP detection we have optimized tetra primer amplification refractory mutation system polymerase chain reaction (ARMS PCR) to detect three SNPs in the cytochrome P450 2E1 (CYP2E1) gene locus; i.e. rs3813865, rs2070672 and rs3813867. The optimization system strategies used were (1) designing inner and outer primers; (2) determining of their optimum primer concentration ratios; and (3) determining of the optimum PCR annealing temperature. The tetra primer ARMS PCR result could be directly observed using agarose gel electrophoresis. The method succesfully determined three SNPs in CYP2E1 locus, the results being consistent with validation using DNA sequencing and restriction fragment length polymorphisms (RFLP).

• Bulletin of the Korean Chemical Society
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• v.31 no.7
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• pp.2077-2080
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• 2010

• Bulletin of the Korean Chemical Society
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• v.34 no.12
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• pp.3543-3544
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• 2013

• Journal of Interdisciplinary Genomics
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• v.5 no.2
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• pp.24-28
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• 2023

Chromosomal microarray (CMA) is primarily recommended for detecting clinically significant copy number variants (CNVs) in the genetic diagnosis of developmental delay, intellectual disability, autism, and congenital malformations. Prenatal CMA is recommended when a fetus has major congenital malformations. The main principles of CMA can be divided into array comparative genomic hybridization and single-nucleotide polymorphism arrays. In the current CMA platforms, these two principles are combined, and detection of genetic abnormalities including CNVs and absence of heterozygosity is facilitated. In this review, I described practical assessment of CMA testing regarding to laboratory management of CMA, interpretation of CNVs, and special considerations for comprehensive genetic counseling.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.605-608
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• 2007

천식(Asthma)과 같은 복합질환(Complex Disease)의 원인과 작용 모델을 찾기 위해서 여러가지 통계적인 방법들과 기계 학습(Machine Learning)의 방법 등이 사용되고 있다. 본 연구에서는 유전 알고리즘을 이용하여 천식 환자와 대조군들을 분류할 수 있는 단일염기 다형성(SNP, Single Nucleotide Polymorphism)의 조합에 대하여 조사한다.