혈중 지질 농도와 관련한 양적 형질 유전자의 연관 불균형 분석

송기준,임길섭,조진남,장양수,박현영 대한심장학회 2006 Korean Circulation Journal Vol.36 No.10

Background and Objectives:The common methods of genetic association analysis are sensitive to population stratification, which may easily lead to a spurious association result. We used a regression approach based for linkage disequilibrium to perform a high resolution genetic association analysis. Subjects and Methods:We applied a regression approach that can increase the resolution of quantitative traits that are related with cardiovascular diseases. The population data was composed of 543 males and 876 females without cardiovascular diseases, and it was obtained from a cardiovascular genome center. We used information about linkage disequilibrium between the marker and trait locus, and we added the covariates to model their effects. Results:We found that this regression approach has the merit of analyzing genetic association based on linkage disequilibrium. In the analysis of the male group, the total cholesterol was significantly in linkage disequilibrium with CETP3 (p=0.002), and triglyceride was significantly in linkage disequilibrium with ACE8 (p=0.037), APOA1-1 (p=0.031), APOA5-1 (p=0.001), APOA5- 2 (p=0.001) and LIPC4 (p=0.022). HDL-cholesterol was significantly in linkage disequilibrium with ACE7 (p= 0.002), ACE8 (p=0.008), ACE10 (p=0.003), APOA5-2 (p=0.022), and MTP1 (p=0.001). In the female group, total cholesterol was significantly associated with APOA5-1 (p=0.020), APOA5-2 (p=0.001), and LIPC1 (p= 0.016), and triglyceride was significantly associated with APOA5-1 (p=0.009), APOA5-2 (p=0.001), and CETP5 (p=0.049). LDL-cholesterol was significantly associated with APOA5-2 (p=0.004), and HDL-cholesterol was significantly associated with LIPC1 (p=0.004). Conclusion:We used a regression-based method to perform high resolution linkage disequilibrium analysis of a quantitative trait locus that’s associated with lipid profiles. This method of using a single marker, as applied in this paper, was well suited for analysis of genetic association. Because of the simplicity, the method can also be easily performed by routine statistical analysis software. (Korean Circulation J 2006;36:688-694)

간호행정학회지 게재논문의 통계학적 방법 사용과 오류

송기준 한국간호과학회 간호행정학회 2013 간호행정학회지 Vol.19 No.1

Purpose: To do nursing research effectively requires an understanding of fundamental principles of statistical methods. In this article, some key statistical methods which are commonly used in nursing research are identified and summarized. Methods: Ninety-two original articles from the Journal of Korean Academy of Nursing Administration were reviewed. Statistical methods were classified and summarized for usage in research and occurrence of common errors. Results: Among the original articles reviewed, 58 statistical usages contained errors. Most errors were found in linear regression analysis, Pearson correlation analysis, and chi-square test. From the detection of statistical errors in usage, suggestions for appropriate statistical methods were made. Conclusion: In order to improve validity of original articles in the Journal of Korean Academy of Nursing Administration, clearly stated statistical usage and close editorial attention to statistical methods are needed. Understanding statistical methods is part of the process that researchers must use to determine both quality and usefulness of the research. Research findings will be used to guide nursing practice and reduce uncertainty in decision making. However, to understand how to interpret research results, it is important to be able to understand basic statistical concepts. Researchers should also choose statistical methods that match their purposes.

임상연구 설계 및 통계학적 분석 방법

송기준,한무영,정미영,임길섭,김동기 대한비뇨의학회 2005 Investigative and Clinical Urology Vol.46 No.8

Purpose: To proceed effectively with clinical research requires an understanding of the fundamental principles of study design and biostatistical methods. In this article, we identified and summarized basic clinical research designs and some of the key biostatistical methods that have been commonly used in clinical research. Materials and Methods: In an observational study, cross-sectional, case- control and Cohort designs were illustrated and compared. In a clinical trial study, parallel group design and cross-over designs were described according to their characteristics. Also, the biostatistical methods for their usages classified and summarized. Results: Understanding and evaluating research design are part of the process researchers must use to determine both the quality and usefulness of their research. Adequate applications to biostatistical methods are need; i.e., descriptive statistics, Student's t-test, ANOVA, nonparametrics, categorical data analysis, correlation and regression, and survival analysis. Conclusions: Research findings are used by clinical researcher to guide their practice and reduce their uncertainty in clinical decision making. However, to understand how to interpret research results, it is important to be able to understand basic statistical concepts and types of study design. Clinicians should also appropriately choose the biostatistical methods to suit their purposes.

한타바이러스와 서울바이러스의 M 및 S 분절의 염기서열 및 계통분석

송기준,양정인,김상현,김종현,이영은,백락주,이용주,송진원,Song, Ki-Joon,Yang, Jeong-In,Kim, Sang-Hyun,Kim, Jong-Hun,Lee, Young-Eun,Baek, Luck-Ju,Lee, Yong-Ju,Song, Jin-Won 대한미생물학회 1998 Journal of Bacteriology and Virology Vol.28 No.4

Hantaan (HTN) and Seoul (SEO) viruses, murid rodent-borne hantaviruses, are known to causes hemorrhagic fever with renal syndrome (HFRS) in Korea. To determine the genomic diversity and molecular phylogeny of HTN and SEO viruses found in Korea, we amplified for part of M and S genomic segments of hantaviruses from sera of HFRS patients and lung tissues of hantavirus seropositive striped-field mice. Both M and S segment of 16 HTN and 2 SEO viruses were amplified by nested reverse transcription-polymerase chain reaction. Based on 324 nucleotides in the M genomic segment, the HTN and SEO strains showed $93.8{\sim}100%$ and $99.1{\sim}99.4%$ homologies, respectively. Similarly, based on 230 nucleotides in the S genomic segment, HTN and SEO strains showed $90.9{\sim}100%$ and 100% homologies, respectively. Phylogenetic analysis of M and S segments indicated that HTN strains could be divided into at least two main groups in M and S trees and the sequence differences detected among the Sand M genomic segments of HTN viruses are consistent with reassortment having taken place between HTN virus strains.

벤처기업의 성공요인분석 : 코스닥 상장기업을 중심으로

송기준 한국기술혁신학회 1999 한국기술혁신학회 학술대회 발표논문집 Vol.1999 No.11

한탄바이러스 항체증명을 위한 각종 혈청진단법의 비교

송기준,백락주,이호왕 대한바이러스학회 1991 Journal of Bacteriology and Virology Vol.21 No.2

연구발표 : 답토양중 (畓土壤中) 유기인산 정량방법에 대한 검토

송기준,김영섭 한국토양비료학회 1970 한국토양비료학회 학술발표회 Vol.1970 No.5

경기도에서 채집한 Apodemus peninsulae에서 한탄바이러스 분리와 유전학적 연구

송기준,김용수,이용주,송진원,강주일,백락주,Song, Ki-Joon,Kim, Yong-Soo,Lee, Yong-Ju,Kang, Ju-Il,Song, Jin-Won,Baek, Luck-Ju 대한미생물학회 1998 Journal of Bacteriology and Virology Vol.28 No.4

Hantaviruses are distributed in rodent population world-widely even in geographical areas where hemorrhagic fever with renal syndrome (HFRS) has not been reported. Various species of Family Muridae and Arvicolidae serve as the natural reservoirs of hantaviruses. Hantaan virus, Seoul virus, Puumala virus, Prospect HII virus, Sin Nombre virus and New York virus are members of genus Hantavirus and isolated from lungs of A. agrarius, R. norvegicus, C. glareolus, M. pennsylvanicus, P. maniculatus and P. leucopus respectively. This experiment was intended to find the distribution of hantavirus infection among wild rodents and isolate the hantavirus from lung tissue of seropositve Apodemus peninsulae, and compared the nucleotide and amino acid sequences with prototype of hantaan virus 76-118 strain. Hantaviral sequences were amplified from lung tissues of A. peninsulae by reverse-transcriptase polymerase chain reaction. Alignment and comparison of the 324 nucleotide of G2 region of M-genomic segment diverged 4.6% and 0% at the nucleotide and amino acid levels, and complete N protein-coding region of S-genomic segment diverged 3.7% and 1.4% nucleotide and amino acid levels, respectively. This is the report to spill-over on the hantaan virus from A. agrarius to A. peninsulae in Korea.

우선수리대상 문화재 선정을 위한 의사결정 지원 모델 개발

송기준,김창준,강경인 대한건축학회 2007 大韓建築學會論文集 : 構造系 Vol.23 No.5

The selection of cultural properties to repair must be operated systematically and efficiently because government has limited budget and labor. However, it is performed by heuristic method in Korea. Therefore, this study proposed the decision support model for selection of cultural properties to repair. To develop the model, this study collected evaluation criteria of cultural property by delphi method and each criterion was weighted by analytic hierarchy process(AHP). Then evaluation checklist was created by weighted criteria and the decision support model was developed with the checklist. Finally the expert group in Cultural Heritage Administration tested the model by three case studies. Through the test, the process of selection in the model was proved to become more brief and systemic. The result showed that this model is effective as a decision support tool.

한국에 분포하는 레오바이러스의 분리 및 동정

송기준,강병철,이영은,백락주,이용주,송진원,Song, Ki-Joon,Kang, Byung-Chul,Lee, Young-Eun,Baek, Luck-Ju,Lee, Yong-Ju,Song, Jin-Won 대한미생물학회 1999 Journal of Bacteriology and Virology Vol.28 No.1

Reovirus was found to inhabit both the respiratory and the enteric tract of human and animals. The genome of reovirus comprises 10 segments of double-stranded RNA, total size 24 kbp. Nine strains of reovirus were isolated from human and field mice in Korea. Aseptically collected sera from human and lung tissues from field mice were used for virus isolation. For serotype determination, hemagglutination inhibition test was used, and three strains were confirmed to type 2 and six strains to type 3. To determine the genomic diversity and molecular phylogeny of reoviruses isolated in Korea, part of S4 genomic segment of reovirus was enzymatically amplified and directly sequenced. In nucleotide level, Apo98-35 strain showed 15.4%, 19.3%, and 14.4% differences compared to type 1 (T1L, Lang), type 2 (T2J), and type 3 reference strains, respectively. In amino acid level, Apo98-35 strain showed 10.5%, 13.7%, and 9.5% differences compared to type 1, type 2, and type 3 reference strains, respectively. Using the maximum parsimony method based on 285 bp spaning region of the S4 genomic segment, phylogenetic analysis indicated that Apo98-35 from Korea formed different phylogenetic branch. Our data obtained by sequence and phylogenetic analyses of reoviruses are consistent with the distinct geographically dependent evolution of reoviruses in Korea.