13 research outputs found
λμ¬μ¦νκ΅° μνμμΈμ λν μ μ 체, λ§μ΄ν¬λ‘λ°μ΄μ΄, νκ²½μΈμμ μν₯
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Όλ¬Έ(μμ¬)--μμΈλνκ΅ λνμ :보건λνμ 보건νκ³Ό,2019. 8. μμ±νΈ.Metabolic syndrome is a well known risk factor for cardiovascular disease. Therefore better understanding of each component of metabolic syndrome is required. Metabolic syndrome results from genetics, environmental factors, and the interaction between them. Many recent studies have shown that microbiome composition also affects the development of metabolic syndrome. In this study, the main goal is to identify and compare the associations of host genetic, metagenome, and environmental factors on metabolic syndrome components. Each data source was prepared through quality control and imputation process considering characteristics of each data. The effect of each data source was evaluated using the heritability estimation approach and the prediction model separately. In heritability estimation, we found that 5 of the 11 phenotypes are significantly associated with metagenome-wide similarity. Metagenome source also provided a more accurate estimation than the genetics at the same sample size. In the prediction model, the contribution of each source to the prediction accuracy varied for each phenotype. Through various methods, we grasped the influence of host genetic, metagenome and environmental factors on each metabolic component and quantified the relative importance of each data source. If the sample size is increased and methods are developed considering the characteristics of each data source in a further study, the effect of each data will be confirmed more accurately.1.INTRODUCTION 5
2.METHODS 9
-Data description 9
-Genome 9
-Microbiome 9
-Environment 10
-Metabolic profile 11
-Statistical analysis 11
-Heritability estimation 11
-Prediction model 13
3.RESULTS 15
-Variance estimation 16
-Prediction accuracy 19
4.DISCUSSION 23
5.REFERENCE 26Maste
Inhibitory effects on Myc-Max-DNA complex formation and regulation of c-myc gene expression in cancer cells by fatty acids from ulmi cortex
Thesis (master`s)--μμΈλνκ΅ λνμ :ννλΆ μννμ 곡,2004.Maste
Effect of alcohol drinking on mortality. : μ½νΈνΈμ°κ΅¬
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μ΄μμ κ²°κ³Όλ₯Ό λ³Ό λ λΉμμ£Όμμ λΉν΄ μμ£Όμλ ν‘μ°, κ³ νμ λ±μ μνμμΈμ λ λ§μ΄ κ°κ³ μμΌλ©° κ³Όλμ μμ£Όλ κ³ νμμ μν λμ‘Έμ€ μ¬λ§λ₯ μ μ¦κ°μν€λ κ²μΌλ‘ μΆμ λλ―λ‘ κ³Όμμ μΌκ°λ κ²μ΄ μ 체μ¬λ§ μ€ νΉν λμ‘Έμ€μΌλ‘ μΈν μ¬λ§μ κ°μμν€λλ° μ€μν κ²μΌλ‘ μκ°λλ€.
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The effect of alcohol drinking on 6-year mortality was studied in a sample of 6,382 men and women aged 55 years and older residing in Kangwha island as of February 28, 1985. Drinkers, in comparison with non-drinkers, considered their health status to be good, consumed more salty foods, had higher blood pressure, and tended to be smokers. Among men, total mortality was higher in heavy drinkers(β₯30 ml/day) compared to non-drinkers (PR=1.3, 95% CI:1.1-1.7). Cancer mortality was not significantly associated with alcohol consumption levels whereas the risk of deaths caused by stroke in male heavy drinkers was higher than that of non-drinkers (PR=2.0, 95% CI: 1.0-4.1). No significant association was noted among light or moderated drinkers. It is important to abstain from heavy drinking in order to prevent deaths especially those caused by stroke, since heavy alcohol intake appears to act as a risk factor in the development of stroke through its effecting blood pressure.restrictio