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한국인 제 2 형 당뇨병 환자에서 Uncoupling protein 1(UCP-1)유전자와 지방산 결합단백(FABP2)유전자의 다형성
김영선,이주영,김선규,김용현,유명희,서교일,김철희,변동원,박형규,윤석기,윤여일,남일송,목지오 대한당뇨병학회 2001 Diabetes and Metabolism Journal Vol.25 No.4
Background: It is well known that genetic component plays an important role in developing obesity and type 2 diabetes mellitus. A number of candidate genes have been suggested, but the major gene determining the development of obesity and type 2 diabetes has not yet been uncovered, Previous studies suggest that polymorphisms of the intestinal fatty acid binding protein (FABP2) and uncoupling protein 1 (UCP-1) gene were related with obesity and/or insulin resistance in several populations. Methods: We examined 76 type 2 diabetic patients (aged 44±6years) and 96 healthy controls (aged 25±3 years). AIa54Thr polymorphism of the FABP2 gene and A to G polymorphism (-3826) of the UCP-1 gene were determined by polymerase chain reaction and restriction fragment length polymorphism method. Results: The Thr54 allele of the FABP2 gene was found with a frequency of 0.33 in nondiabetic controls and 0.36 in type 2 diabetic patients. The genotype frequency of the AIa54Thr polymorphism was similar in nondiabetic and diabetic subjects (x²=0.87, P=0.64). The -3826 G allele of UCP-1 gene was found with a frequency of 0.51 in nondiabetic controls, and 0.46 in type 2 diabetic patients. The genotype frequency of the -3826 A to G polymorphism was also similar in nondiabetic and diabetic subjects (x²=1.46, p=0.46). When the subjects of each Groups were subdivided into nonobese and obese group by BMI of 25 kg/㎡, there was no significant difference in genotype frequencies of the UCP-1 and FABP2 gene polymorphisms. Conclusion: These results suggest that either the AIa54Thr polymorphism of the FABP2 gene or the A to G polymorphism (-3826) of UCP-1 gene do not play a major role in developing type 2 diabetes mellitus or obesity in Korean.
Kim, Hyeong-Seog,Ho, Chang-Hoi,Chu, Pao-Shin,Kim, Joo-Hong John Wiley Sons, Ltd. 2010 International journal of climatology Vol.30 No.2
<P>In the present study, we have employed two statistical models to predict summertime (July–September) tropical cyclone (TC) activity over the East China Sea using the least absolute deviation (LAD) regression and the Poisson regression method. Through a lagged correlation analysis of the relationship between the seasonal TC frequency in the target region and several pre-season environmental parameters for the period 1979–2003, physically interpretable and statistically significant large-scale environmental parameters were identified as potential predictors. After applying the predictor screening method based on the stepwise regression, three predictors, i.e. sea surface temperature, outgoing long-wave radiation and 850-hPa relative vorticity were finally chosen. They are related to the phase transition of El Niño/Southern Oscillation and the strength of the western North Pacific summer monsoon. The correlation coefficient between the predicted and the observed frequency is 0.75 for the LAD model and 0.78 for the Poisson model. The predictions using the two models have a skill improvement of about 60% compared to the reference forecasts. The present study suggests that both models are skillful in predicting summertime TC frequency over the East China Sea with the Poisson model being slightly more skillful than the LAD model. Copyright © 2009 Royal Meteorological Society</P>