Association between HOTAIR lncRNA Polymorphisms and Coronary Artery Disease Susceptibility

• Published in: Journal of personalized medicine Vol. 11; no. 5; p. 375
• Main Authors: Kim, In-Jai, Lee, Jeong-Yong, Park, Hyeon-Woo, Park, Han-Sung, Ko, Eun-Ju, Sung, Jung-Hoon, Kim, Nam-Keun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 04.05.2021; MDPI
• Subjects: Age; Angina pectoris; Antisense RNA; Apoptosis; Blood flow; Breast cancer; Cancer; Cardiology; Cardiovascular disease; Cardiovascular diseases; Cholesterol; Coronary artery; Coronary vessels; Diabetes mellitus; DNA methylation; Gastric cancer; Gender; Gene expression; Gene polymorphism; Haplotypes; Heart attacks; Heart diseases; Hypertension; Hypothesis testing; Medical imaging; Non-coding RNA; Plaques; Precision medicine; Regression analysis; Single-nucleotide polymorphism; Software; Transcription; United States > US
• ISSN: 2075-4426; 2075-4426
• DOI: 10.3390/jpm11050375

Coronary artery disease (CAD), one of the most frequent causes of mortality, is the most common type of cardiovascular disease. This condition is characterized by the accumulation of plaques in the coronary artery, leading to blockage of blood flow to the heart. The main symptom of CAD is chest pain caused by blockage of the coronary artery and shortness of breath. HOX transcript antisense RNA gene (HOTAIR) is a long non-coding RNA which is well-known as an oncogene involved in various cancers, such as lung, breast, colorectal, and gastric cancer. We selected six single nucleotide polymorphisms, rs4759314 A>G, rs1899663 G>T, rs920778 T>C, rs7958904 G>C, rs12826786 C>T, and rs874945 C>T, for genotype frequency analysis and assessed the frequency of HOTAIR gene polymorphisms in 442 CAD patients and 418 randomly selected control subjects. To analyze the differences between these two populations, we performed a Student’s t-test, adjusted odds ratio (AOR), 95% confidence intervals (CIs), and ANOVA analysis. According to our baseline characteristic analysis, control subjects and CAD patients were significantly different in hypertension and diabetes mellitus. We also found that the rs4759314 A>G, rs1899663 G>T, and rs12826786 C>T genotypes were strongly associated with CAD susceptibility (AA vs. AG+GG: AOR = 0.608, 95% CI = 0.393−0.940, p = 0.025; GG vs. TT: AOR = 2.276, 95% CI = 1.125−4.607, p = 0.022; CC vs. CT+TT: AOR = 1.366, 95% CI = 1.027−1.818, p = 0.032, respectively). Our data also demonstrated that the genotype of HOTAIR polymorphisms, genotype combination, and haplotype analysis affect disease occurrence. Moreover, these polymorphisms are linked to clinical factors that contribute to disease susceptibility. In conclusion, results from our study suggest that HOTAIR polymorphisms may be useful novel biomarkers for diagnosing CAD.