A Study on Associations of Long Noncoding RNA HOTAIR Polymorphisms With Genetic Susceptibility to Chronic Kidney Disease

  • Mahdi Majidpour
  • , Ramin Saravani
  • , Saman Sargazi
  • , Sara Sargazi
  • , Mahdiyeh Harati-Sadegh
  • , Shadi Khorrami
  • , Mohammad Sarhadi
  • , Ali Alidadi

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: The importance of long noncoding RNAs (lncRNAs) in various biological processes has been increasingly recognized in recent years. This study investigated how gene polymorphism in HOX transcript antisense RNA (HOTAIR) lncRNA affects the predisposition to chronic kidney disease (CKD).

METHODS: This study comprised 150 patients with CKD and 150 healthy controls. A PCR-RFLP and ARMS-PCR techniques were used for genotyping the five target polymorphisms.

RESULTS: According to our findings, rs4759314 confers strong protection against CKD in allelic, dominant, and codominant heterozygote genetic patterns. Furthermore, rs3816153 decreased CKD risk by 78% when TT versus GG, 55% when GG+GT versus TT, and 74% when GT versus TT+GG. In contrast, the CC+CT genotype [odds ratio (OR) = 1.66, 95% confidence intervals (CIs) = 1.05-2.63] and the T allele (OR = 1.50, 95% CI = 1.06-2.11) of rs12826786, as well as the TT genotype (OR = 2.52, 95% CI = 1.06-5.98) of rs3816153 markedly increased the risk of CKD in the Iranian population. Although no linkage disequilibrium was found between the studied variants, the C rs12826786T rs920778G rs1899663G rs4759314G rs3816153 haplotype was associated with a decreased risk of CKD by 86% (OR = 0.14, 95% CI = 0.03-0.66).

CONCLUSION: The rs920778 was not correlated with CKD risk, whereas the HOTAIR rs4759314, rs12826786, rs1899663, and rs3816153 polymorphisms affected the risk of CKD in our population. It seems essential to conduct repeated studies across various ethnic groups to explore the link between HOTAIR variants and their impact on the disease outcome.

Original languageEnglish
Article numbere25086
JournalJournal of clinical laboratory analysis
Volume38
Issue number11-12
DOIs
Publication statusPublished - Jun 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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