Functional miR143/145 Cluster Variants and Haplotypes Are Associated with Chronic Kidney Disease: a Preliminary Case-Control Study and Computational Analyses.
Ramin SaravaniMilad Heidari NiaFariba Mirani SargaziRoghayeh SheervalilouRamin SaravaniSara BahramiShekoufeh MirinejadAli AlidadiPublished in: Applied biochemistry and biotechnology (2021)
MiR-143/145 cluster is a novel transcriptional target of many signaling pathways, with variations within this cluster contributed to the risk of multiple diseases. To date, no data regarding the link between miR143/145 cluster polymorphisms and the risk of developing chronic kidney disease (CKD) has been reported. Hence, we aimed to examine such association in a population of Iranian ancestry. In this preliminary study, 276 CKD patients and 300 unrelated age and sex-matched healthy controls were recruited. Genotyping was performed by PCR-RFLP and allele-specific-PCR methods. Computational analyses were performed to predict the potential effects of the variants. Our findings indicated that rs41291957, rs12659504, and rs353292 polymorphisms were positively associated with CKD, while rs4705342 and rs4705343 polymorphisms demonstrated a significant negative association with the disease. Moreover, a significant association was observed between CC + TC and TT genotypes and CKD stages. We found that AACTT, AATTC, AATTT, GATTC, GATTT, and GGCTT haplotypes significantly enhanced the risk of CKD compared with the Grs41291957AArs12659504Crs353292Trs4705342Trs4705343 haplotype. Computational analysis showed that rs353292, rs4705342, and rs4705343 might alter the binding of the transcription factors in this gene cluster. We found that miR-143/145 cluster polymorphisms were associated with CKD risk in a sample of the Iranian population. Replicated studies on different ethnicities are necessary to investigate the association between these promoter variants and clinical outcomes.
Keyphrases
- chronic kidney disease
- end stage renal disease
- cell proliferation
- long non coding rna
- transcription factor
- copy number
- long noncoding rna
- gene expression
- signaling pathway
- dna methylation
- peritoneal dialysis
- high throughput
- ejection fraction
- climate change
- deep learning
- artificial intelligence
- dna binding
- data analysis
- patient reported