Objectives To study the association of single nucleotide polymorphism （SNP） rs2076185 in chromosome 6p24.1 with the premature coronary artery diseases （PCAD） in Chinese Hun population. Methods A total of 1382 pati...Objectives To study the association of single nucleotide polymorphism （SNP） rs2076185 in chromosome 6p24.1 with the premature coronary artery diseases （PCAD） in Chinese Hun population. Methods A total of 1382 patients were divided into the PCAD group and the control group based on their coronary arteriography （CAG） results. Their SNP rs2076185 were analyzed by the mass-spectrometry. Their allele and genotype frequency in Hardy-Weinberg equilibrium were calculated for assessment. Logistic regression was employed to remove confounding factors and correlate SNP rs2076185 with PCAD. Results The allele and genotype frequencies of the control group were in Hardy-Weinberg equilibrium （P 〉 0.05）. The frequencies of allele G of rs2076185 were 54.2% in the PCAD group and 49.5% in the control group. The difference was significant （P = 0.042）. The genotype distribution ofrs2076185 of the two groups was also significantly different. The univariate analysis showed that the rs2076185 polymorphisms were associated with the PCAD only in the additive model （OR： 0.828, 95% CI： 0.711-0.964, P = 0.014）, and in the dominant model （OR： 0.753, 95% CI： 0.591-0.958, P = 0.021）. After removing the confound- ing variables, the rs2076185 polymorphisms was associated with PCAD in the additive model （OR： 0.775, 95% CI： 0.648-0.928, P = 0.005）, in the dominant model （OR： 0.698, 95% CI： 0.527-0.925, P = 0.012）, and in the recessive model （OR： 0.804, 95% CI： 0.538-0.983, P - 0.038）. Conclusion Allele G of rs2076185 reduces the PCAD risks in Chinese Hun population, therefore it could be a coronary artery diseases protective factor in Chinese Hun population.展开更多
A comprehensive evaluation index system is constructed,and the entropy weight TOPSIS method isused to measure the optimization level of the digital economy and tourism industry structure of 30 provinces inChina from 2...A comprehensive evaluation index system is constructed,and the entropy weight TOPSIS method isused to measure the optimization level of the digital economy and tourism industry structure of 30 provinces inChina from 2012 to 2021.Moreover,models such as quantile regression and panel threshold are used to explorethe influence of the digital economy(DIG)on the optimization of the tourism industry structure(TIS)as well as itstransmission mechanism.The study reveals that DIG significantly promotes TIS,which remains valid after endogeneity and robustness tests;the impact of DIG on TIS exhibited a“U-shape”effect that first decreases and thenincreases,and its highest significance is at the 90%quartile level.Threshold model tests revealed a nonlinearthreshold effect with DIG and tourism total factor productivity(TTFP)as a single threshold and tourism technological progress index(TECH)as a double threshold,and the second threshold has the largest effect of 0.163.Mechanism analysis found that the mediating impact of the DIG on the TIS was mediated by increasing the TTFP,and the TECH accounted for the highest proportion of 12.15%.Regional analysis revealed that the role of DIG onthe TIS is Central>East>West>Northeast,and the empowering effect is more significant in the high digital economylevel area and the high tourism industry structure optimization area.展开更多
文摘Objectives To study the association of single nucleotide polymorphism （SNP） rs2076185 in chromosome 6p24.1 with the premature coronary artery diseases （PCAD） in Chinese Hun population. Methods A total of 1382 patients were divided into the PCAD group and the control group based on their coronary arteriography （CAG） results. Their SNP rs2076185 were analyzed by the mass-spectrometry. Their allele and genotype frequency in Hardy-Weinberg equilibrium were calculated for assessment. Logistic regression was employed to remove confounding factors and correlate SNP rs2076185 with PCAD. Results The allele and genotype frequencies of the control group were in Hardy-Weinberg equilibrium （P 〉 0.05）. The frequencies of allele G of rs2076185 were 54.2% in the PCAD group and 49.5% in the control group. The difference was significant （P = 0.042）. The genotype distribution ofrs2076185 of the two groups was also significantly different. The univariate analysis showed that the rs2076185 polymorphisms were associated with the PCAD only in the additive model （OR： 0.828, 95% CI： 0.711-0.964, P = 0.014）, and in the dominant model （OR： 0.753, 95% CI： 0.591-0.958, P = 0.021）. After removing the confound- ing variables, the rs2076185 polymorphisms was associated with PCAD in the additive model （OR： 0.775, 95% CI： 0.648-0.928, P = 0.005）, in the dominant model （OR： 0.698, 95% CI： 0.527-0.925, P = 0.012）, and in the recessive model （OR： 0.804, 95% CI： 0.538-0.983, P - 0.038）. Conclusion Allele G of rs2076185 reduces the PCAD risks in Chinese Hun population, therefore it could be a coronary artery diseases protective factor in Chinese Hun population.
基金The National Natural Science Foundation of China(42261042)The Hunan Provincial Natural Science Foundation(2024JJ7410)The Hunan Provincial Graduate Student Research and Innovation Program(CX20221095)。
文摘A comprehensive evaluation index system is constructed,and the entropy weight TOPSIS method isused to measure the optimization level of the digital economy and tourism industry structure of 30 provinces inChina from 2012 to 2021.Moreover,models such as quantile regression and panel threshold are used to explorethe influence of the digital economy(DIG)on the optimization of the tourism industry structure(TIS)as well as itstransmission mechanism.The study reveals that DIG significantly promotes TIS,which remains valid after endogeneity and robustness tests;the impact of DIG on TIS exhibited a“U-shape”effect that first decreases and thenincreases,and its highest significance is at the 90%quartile level.Threshold model tests revealed a nonlinearthreshold effect with DIG and tourism total factor productivity(TTFP)as a single threshold and tourism technological progress index(TECH)as a double threshold,and the second threshold has the largest effect of 0.163.Mechanism analysis found that the mediating impact of the DIG on the TIS was mediated by increasing the TTFP,and the TECH accounted for the highest proportion of 12.15%.Regional analysis revealed that the role of DIG onthe TIS is Central>East>West>Northeast,and the empowering effect is more significant in the high digital economylevel area and the high tourism industry structure optimization area.
