• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.859-870
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• 2015

Economic-traits of livestock are affected by environmental and genetic factors. We are interested in genetic factors that influence the economic-traits of Korean cattle. It is necessary to adjust environmental factors in order to enhance the accuracy of the genetic effect analysis. In this paper, we propose a statistical model of Korean cattle that exclude environmental breeding farm and age factors. We formulated an adjusted economic-trait value, and applied multifactor dimensionality reduction (MDR) method to data of before-and-after adjustment to identify major FABP4 genes. We were able to increase the accuracy of the analysis after adjustment and identify superior FABP4 genes that influence grade and fatty acid.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1397-1407
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• 2015

Individual phenotype is mostly influenced by genetic factors as well as the effects of environmental factors. Therefore, adjustment of environmental factors are needed in order to see more clearly the effects of genetic factors that we are interested in gene screening study related to Hanwoo's economic trait. The purpose of this study is to propose new statistical model that was adjusted environmental factor and identify adjustment effect in a superior gene marker screening study for producing high quality Hanwoo. First, statistical model including both genetic factor and environmental factor establishes and adjusted value of economic trait find by removing effect of environmental factor such as age, breeding farm. Finally, we identify superior gene marker combination and compare accuracy by applying MDR to data of before and after adjustment. Economic trait is used C18:1, SFA, MUFA, MS, CWT, BFT and SNP marker is used 6 markers of LPL that were identified as more excellent SNP marker than the others among 49 markers through fatty acid composition and economic trait performance test.

• 건강소식
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• v.10 no.10 s.95
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• pp.17-25
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• 1986

아직 무슨 원인으로 당뇨병이 일어나는지 알려져 있지 않지만, 학자들은 복합적인 요인이 있다고 믿고 있는데, 한 가지 요인은 유전 소아당뇨병입니다. 그러나 이것은 한 가지 유전인자에 의한 것이 아니고 복합인자에 의한 유전입니다. 최근 연구에서 환경적인 요인이 당뇨병을 일으킬 수 있다는 것을 알아냈습니다.

• 건강소식
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• v.30 no.4 s.329
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• pp.16-17
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• 2006

비만은 다양한 원인에 의해 발생된다. 일반적으로 유전적 소인과 환경 요인이 한데 어우러져 발생한다고 일컬으며, 유전 요인은 어쩔 수 없으니 환경요인에 비중을 두어 설명하는 경향이 강하다. 필자는 그러한 설명을 비껴 유전적요인, 2차적으로 비만을 가져오는 원인 등에 대한 내용을 먼저 소개한다.

• The Korea Swine Journal
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• v.10 no.6 s.106
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• pp.83-88
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• 1988

수퇘지의 번식능력은 성성숙, 유전자형, 연령, 영양, 온도, 건강상태, 종부빈도 등의 요인에 의해 성욕감퇴, 수정율 저하, 산자수 감소, 불임, 자돈의 성장저해 등의 심각한 경제적 손실이 발생한다.

• Journal of the Korean Data and Information Science Society
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• v.25 no.5
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• pp.1025-1038
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• 2014

Linear mixed model has often been utilized for genetic association analysis with family-based samples. The correlation matrix for family-based samples is constructed with kinship coefficient and assumes that parental phenotypes are independent and the amount of correlations between parent and offspring is same as that of correlations between siblings. However, for instance, there are positive correlations between parental heights, which indicates that the assumption for correlation matrix is often violated. The statistical validity and power are affected by the appropriateness of assumed variance covariance matrix, and in this thesis, we provide the linear mixed model with flexible variance covariance matrix. Our results show that the proposed method is usually more efficient than existing approaches, and its application to genome-wide association study of body mass index illustrates the practical value in real data analysis.

• Proceedings of the KSCN Conference
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• 2004.05a
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• pp.403.1-403
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• 2004

최근 들어 점차 증가하고 있는 어린이 비만은 유전적인 요인이 강하게 미치고 있는 반면, 어린이 비만 발생에 영향을 미치는 환경요인으로 식이섭취의 습관 및 운동 등 생활습관이 중요한 요인으로 대두되고 있으며 또한 성장기 어린이비만은 육체적, 정신적인 위험이 내재되어 있다. 특히, 이시기의 소아비만의 약 80%가 성인기 비만으로 이환되며 최근 그 수요도 증가하고 있는 것으로 알려져 있다. 그러나 비만판정법으로 대부분이 신장이나 체중으로 판정하는 경우가 많고 아동의 비만을 적절하게 측정하는 지표에 대한 연구는 부족한 실정이다.(중략)

• Journal of Applied Biological Chemistry
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• v.65 no.4
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• pp.429-438
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• 2022

The composition of crops reveal natural variation according to genetic characteristics and environmental factors such as the cultivated regions. For comparative investigation of the impact of genetic difference and environmental influence on the levels of bioactive components in rice seeds, 23 cultivars including indica, japonica, and tongil rice were grown in two location in Korea (Jeonju and Cheonan) for two years (2015 and 2016). Sixteen compounds consisting of tocopherols, tocotrienols, phytosterols, and policosanols were identified from 368 rice samples and the compositional data were subjected to data mining processes including principal component analysis and Pearson's correlation analysis. Under 4 different environmental conditions (Jeonju in 2015, Cheonan in 2015, Jeonju in 2016, Cheonan in 2016), the natural variability of rice seeds showed that the genetic background (indica vs japonica vs tongil) had more impact on the compositional changes of bioactive components compared to the environments. Especially, the results of correlation analysis revealed negative correlation between α-, β-tocopherols and γ-, δ-tocopherols as a representative genetic effect that did not changed by the environmental influence.

• Korean Journal of Biological Psychiatry
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• v.15 no.1
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• pp.14-22
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• 2008

Objectives : The authors purposed to present data for explaining gene-environmental interaction causing depressive disorder by examining the effects of genetic factors related to the serotonin system and environmental factors such as stressful life events in early adulthood. Methods : The subjects were 150 young adults(mean age 25.0${\pm}$0.54), a part of 534 freshmen who had completed the previous study of genotyping of TPH1 gene. We assessed characteristics of life events, depression and anxiety scale and checked if they had a depressive disorder with DSM-IV SCID interview. Along with TPH1 A218C genotype confirmed in previous study, TPH2 -1463G/A and 5HTR2A -1438A/G genes were genotyped using the SNaPshot$^{TM}$ method. Results : In comparison with the group without C allele of TPH1 gene, the number of life events had a significant effect on the probability of depressive disorder in the group with C allele. Other alleles or genotypes did not have a significant effect on the causality of life events and depressive disorder. Conclusion : The results of this study suggest that TPH1 C allele is a significant predictor of onset of depressive disorder following environmental stress. It means that the TPH1 gene may affect the gene-environmental interaction of depressive disorder.

• Proceedings of the Korean Journal of Food and Nutrition Conference
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• 1997.06b
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• pp.18-21
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• 1997

오늘날 최신 의료기술 및 과학의 발달로 인간의 수명이 연장되는 것에 비해 암 발생률은 세계적으로 증가추세에 있다. 암은 인류의 1/3을 사망하게 하는 주요원인으로 인류공동의 관심사이며 온 세계의 과학자나 의학자들에게 주어진 최대 과제이기도 하다. 암발생률과 사망률을 국가별로 살펴보면 미국의 경우 1년에 약 1백만명 정도가 암에 걸리고 그 중 약 45만명 정도가 암으로 사망하고 있는 것으로 보고되고 있으며 일본은 1981년부터 사망 원인 1위가 암으로 밝혀진 후 연간 약 22만명 정도가 암으로 사망하고 있다. 우리 나라 역시 1988년부터 암이 병인별 사망원인 1위가 된 후 최근 1995년에는 인구 10만명당 1413명이 암으로 사망하고 있는 것으로 나타났다. 암의 발병원인은 여러 가지가 있지만 유전적인 요소와 같은 내적 요인보다는 환경적 요인에 의한 발행이 더 큰 원인이 되고 있으며 환경적 요인 중에서도 매일 반복해서 섭취하는 음식물은 매우 중요한 부분을 차지하고 있다. 따라서 우리의 일상적인 식생활에 좀 더 주의한다면 암의 원인이 될 수 있는 식사를 암을 예방할 수 있는 식사로 바꿀 수 있을 것이다.