Bioinformatics analysis of long non-coding RNA NONHSAG099313.2 with coronary artery disease

Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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CIGS15_610

تاریخ نمایه سازی: 13 بهمن 1398

Abstract:

Coronary artery disease (CAD) is the most common type of heart disease .CAD happens when the arteries that supply blood to heart muscle become hardened and narrowed. This disease is the most important cause of death in the world. The prevalence of mortality from cardiovascular diseases in Iran is about 33-38%, which is significant.Studies of twin have shown that genetics play a very strong role in the development of CAD. One of genetics factors that showed association with CAD are lncRNAs. LncRNAs or long non-coding RNAs are type of non-coding RNAs that exceed 200 nucleotides in length. LncRNAs have been implicated in several cellular functions. Some evidences of statistical and bioinformatics analysis have shown a noticeable association between lncRNAs and increase the risk of CAD.Since the importance of CAD, a lot of researches have been done on probable associated genes. MSR1 gene encodes the class A macrophage receptor has implicated in many macrophage-associated physiological and pathological disorder including CAD (p-value: 0.002). MSR1 has almost 18 lncsRNAs (bases on NONCODE database) between all of them NONHSAG099313.2 gene have shown most association with type 2 diabetes. Tag SNPs of it include rs735861, rs352774, rs2604308, rs1178521 (Lnc2Meth database).In conclusion our studies indicate that there is association between lncRNAs and CAD. Specially tag SNPs of NONHSAG099313.2 may play role in pathogenesis of CAD and these are important for clinical aspects particularly in personalized medicine.

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Authors

Zeynab Rezaei

Department of Genetics, Faculty of Biological Science, University of Tarbiat Modares, Tehran, Iran

Zahra Abedi

Department of Genetics, Faculty of Biological Science, University of Tarbiat Modares, Tehran, Iran

Saghi Hakimi Naeinni

Department of Biochemistry, Faculty of Biological Science, University of Tarbiat Modares, Tehran, Iran

Mehrad Behmanesh

Department of Genetics, Faculty of Biological Science, University of Tarbiat Modares, Tehran, Iran