• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5610-5615
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• 2013

The objective of this study is to identify key attributes to congenital disease factors regarding the patients of the four most-common serious chronic illnesses and their relatives in the light of Myeongrihak. For the purpose of this study, a survey was conducted from March 15 to July 31, 2013, of 147 elderly people with the four most-common serious chronic illnesses admitted to nursing homes located in Seoul. Data were analyzed by frequency analysis and Kai-square tests by use of SPSS/WIN 18.0. The analysis found that the patients and their relatives had very similar disease factors, and cerebrovascular diseases presented the strongest correlations. The subjects also showed meaningful differences according to the health factors of their relatives. As this study found that meaningful correlations regarding congenital diseases between patients of the four most-common serious chronic illnesses and their relatives in the light of Myeongrihak, this will serve as basic data to predicts health conditions of families and relatives.

• Clinical and Experimental Pediatrics
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• v.49 no.2
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• pp.173-180
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• 2006

Purpose : Cytomegalovirus(CMV) infection still remains as a major cause of morbidity and mortality after stem cell transplantation. In this study, we analyzed the results of antigenemia-guided preemptive therapy among children with allogeneic hematopoietic stem cell transplantation to determine the incidence and risk factors associated with CMV antigenemia, and evaluated the efficacy of the CMV antigenemia based preemptive therapy. Methods : We enrolled 213 pediatric patients following allogeneic hematopoietic stem cell transplantation(HSCT), at the Catholic HSCT center between October 1998 and December 2003. Pre-emptive ganciclovir was started when more than 5 CMV Ag-positive cells were detected in matched sibling HSCT, and when any Ag-positive cells were seen in unrelated allogenic HSCT. Results : CMV antigenemia was observed in 88(41.3 percent) of 213 patients on median day 28(day 11-99). In univariated analysis, use of unrelated donors(other than siblings), age of recipient(more than 5 years at transplant) at transplantation, the presence of recipient CMV-IgG before transplantation, TBI-based conditioning regimen and the presence of acute GvHD(grade ${\geq}II$) were the risk factors for positive CMV antigenemia. In multivariate analysis, unrelated bone marrow transplantation, positive recipient CMV serology and acute GvHD(grade ${\geq}II$) were the independent risk factors for positive CMV antigenemia. Conclusion : Risk factors of CMV infection in children were CMV serostatus of the recipient, the source of stem cells, and acute graft-versus-host disease. The pre-emptive therapy based on CMV antigenemia was effective in the prevention of CMV disease.

• Journal of Animal Science and Technology
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• v.52 no.5
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• pp.357-366
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• 2010

The emergence of next-generation sequencing technologies has lead to application of new computational and statistical methodologies that allow incorporating genetic information from entire genomes of many individuals composing the population. For example, using single-nucleotide polymorphisms (SNP) obtained from whole genome amplification platforms such as the Ilummina BovineSNP50 chip, many researchers are actively engaged in the genetic evaluation of cattle livestock using whole genome relationship analyses. In this study, we estimated the genomic relationship matrix (GRM) and compared it with one computed using a pedigree relationship matrix (PRM) using a population of Hanwoo. This project is a preliminary study that will eventually include future work on genomic selection and prediction. Data used in this study were obtained from 187 blood samples consisting of the progeny of 20 young bulls collected after parentage testing from the Hanwoo improvement center, National Agriculture Cooperative Federation as well as 103 blood samples from the progeny of 12 proven bulls collected from farms around the Kyong-buk area in South Korea. The data set was divided into two cases for analysis. In the first case missing genotypes were included. In the second case missing genotypes were excluded. The effect of missing genotypes on the accuracy of genomic relationship estimation was investigated. Estimation of relationships using genomic information was also carried out chromosome by chromosome for whole genomic SNP markers based on the regression method using allele frequencies across loci. The average correlation coefficient and standard deviation between relationships using pedigree information and chromosomal genomic information using data which was verified using a parentage test andeliminated missing genotypes was $0.81{\pm}0.04$ and their correlation coefficient when using whole genomic information was 0.98, which was higher. Variation in relationships between non-inbred half sibs was $0.22{\pm}0.17$ on chromosomal and $0.22{\pm}0.04$ on whole genomic SNP markers. The variations were larger and unusual values were observed when non-parentage test data were included. So, relationship matrix by genomic information can be useful for genetic evaluation of animal breeding.

• 월간산업보건
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• s.32
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• pp.50-50
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• 1990

• 나누는사람들
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• s.20
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• pp.15-17
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• 2002

• 나누는사람들
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• s.21
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• pp.17-17
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• 2002

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.6715-6721
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• 2015

Recently, DNA data of missing person, killed person, and missing child continue to increase but most of statistical calculation for paternity confirmation is being done through manual methods or Excel. Therefore, we need development of a software which is able to facilitate both systematic management and effective analysis of Short Tandem Repeat (STR) derived from DNA data. Without extensive testing, through a twenty-month study was developed a web-based system which performs paternity analysis and kinship analysis easily based on the various options. The former uses an existing algorithm for paternity index and the latter does Identity by descent (IBD) formula. Due to our system validated over real datasets in terms of likelihood ratio and probability of paternity, it ensures increased reliability as well as effective management and analysis of DNA data in mass disaster. In addition, it includes advanced features such as an integrated environment, user-centered interface, process automation and so on.

• 나누는사람들
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• s.33
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• pp.28-28
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• 2005

• 나누는사람들
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• s.4
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• pp.1-12
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• 1998

• 나누는사람들
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• s.24
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• pp.26-26
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• 2003