Association of the rs1870634 Variant in Long Intergenic Non-protein Coding RNA 841 with Coronary Artery Disease: A GWAS-Replication Study in an Iranian Population

GCN-GENE: A novel method for prediction of coronary heart disease-related genes

Coronary heart disease is the most common heart disease, it can induce myocardial infarction, and the cause of the disease has a lot to do with life and eating habits. The results of a large number of epidemiological studies at home and abroad show that the incidence of coronary heart disease has an obvious familial tendency. However, little is known about the genetic factors of coronary heart disease. Although genome-wide association analysis and gene knockout experiments have found some genes related to coronary heart disease, there are still a large number of genes potentially related to coronary heart disease that have not been discovered. If it is confirmed by biological experimental means, the time and money cost is too high. Therefore, it is urgent to identify genes related to coronary heart disease on a large scale by computational means, so as to conduct targeted biological experimental verification. This paper proposes a deep learning method based on biological networks for the identification of coronary heart disease-related genes. We constructed gene interaction networks and extracted gene expression levels in different tissues as features. Through the association information and expression characteristics between genes, we constructed a model of coronary heart disease-related genes. Through cross-validation, we found that our proposed GCN-GENE that has AUC as 0.75 and AUPR as 0.78, which is more accurate than other methods and is a reliable method for predicting coronary heart disease-related genes.

The Emerging Role of Long Non-coding RNAs and Circular RNAs in Coronary Artery Disease

Coronary artery disease (CAD) is a common disorder caused by atherosclerotic processes in the coronary arteries. This condition results from abnormal interactions between numerous cell types in the artery walls. The main participating factors in this process are accumulation of lipid deposits, endothelial cell dysfunction, macrophage induction, and changes in smooth muscle cells. Several lines of evidence underscore participation of long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) in the pathogenesis of CAD. Several lncRNAs such as H19, ANRIL, MIAT, lnc-DC, IFNG-AS1, and LEF1-AS1 have been shown to be up-regulated in the biological materials obtained from CAD patients. On the other hand, Gas5, Chast, HULC, DICER1-AS1, and MEG3 have been down-regulated in CAD patients. Meanwhile, a number of circRNAs have been demonstrated to influence function of endothelial cells or vascular smooth muscle cells, thus contributing to the pathogenesis of CAD. In the current review, we summarize the function of lncRNAs and circRNAs in the development and progression of CAD.

Association of single nucleotide polymorphism at long non-coding RNA 8138.1 with duration of fertility in egg-laying hens

A previous genome-wide transcriptional analysis identified long non-coding RNA 8138.1 (lncRNA8138.1) as a candidate gene related to hen duration of the fertility (DF) trait. LncRNA8138.1 gene response to growth factor and reproductive system development suggests it has a vital role in reproduction. In this study, we investigated the lncRNA8138.1 gene sequence in a population of egg-laying hens. The sequence analysis of the lncRNA8138.1 gene containing about 1.6 k nucleotides (nt) was observed with four single nucleotide polymorphisms (SNPs) and 7 nt indel including r.4937159A > G; r.4937219T > C; r.4937258G > C; r.4937318C > G and g.4937319_4937325delinsTGTGTGG. Next, the genomic DNAs from laying hen populations were subjected to polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) to detect a region of 457 bp carrying lncRNA8138.1 r.4937159A > G substitution. Further inspection of the region containing r.4937159A > G mutation revealed three genotypes viz., AA, AG, and GG were observed with respective frequencies of 0.106, 0.607, and 0.287 in laying hen population 1 (P1) (n = 1, 042) and respective frequencies of 0.176, 0.708, and 0.116 in laying hen population 2 (P2) (n = 826). Moreover, to further examining the frequencies of r.4937159A > G genotypes in P1 and P2, and their additive and dominance effects; r.4937159A > G locus was significantly associated with DF-trait in both P1 and P2 (EN: the number of eggs, FN: the number of fertile eggs after a single AI), and DN (the number of days post-insemination until last fertile egg). In testing for additive and dominance effects, additive effect was significant (P < 0.05) in both P1 and P2 for DF-trait, and the dominance effect was significant (P < 0.05) for EN and FN traits, suggesting that r.4937159A > G polymorphism is a potential biomarker for DF-trait. However, the identified novel r.4937159A > G mutation and others require further investigation to confirm phenotypic causality and potential genetic relationships with reproductive traits. Overall, our findings suggest the significance of genetic variation in long non-coding RNAs may assist in future breeding programs to improve selection for prolonged DF-trait.