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Updated: Jan 24, 2026

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
Published on: December 1, 2023
[Interaction between long noncoding RNA and environmental factors on coronary heart disease]
Yi Sun1, Jiabing Lin2, Qing Huang1
1Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350108, China.
Objective:
To investigate the role of leukocyte long noncoding RNA(lncRNA) and environmental factors on coronary heart disease(CHD).
Methods:
A case-control study was conducted in a hospital in Fuzhou City by using stratified random sampling method during March 2015 and December 2017. The related surveys included questionnaire investigation, physical examination and laboratory detection. And real-time fluorescence quantitative PCR was used to detect the expression of lncRNA(NR_027032, NR_047116 and NR_104181) in case group and control group. Multivariate Logistic regression models and crossover analysis were used to analyze the interaction and association of environmental factors and lncRNA on CHD.
Results:
Wilcoxon rank sum test indicated that: The expression levels of NR_027032, NR_047116 and NR_104181 in CHD were lower than those in control group, the difference was statistically significant(P<0.05). Multivariate Logistic regression analysis showed that the low expression of NR_027032, NR_047116 and NR_104181 may increase the risk of CHD. Crossover analysis showed that the risk of CHD was 19.053 times(95% CI 5.159-70.361) in the presence of overweight and low expression of NR_047116 than that in the normal condition. And the additive model between the two groups was statistically significant(U=1.999, P=0.046). The evaluation indexes were S=0.598, AP=10.070 and RERI=0.629.
Conclusion:
CHD is the result of environmental factors and genetic factors. The association and additive effect of NR_047116 low expression and overweight may increase the risk of CHD.
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