MIR149 rs2292832 and MIR499 rs3746444 Genetic Variants Associated with the Risk of Rheumatoid Arthritis

Author:

Ali Yasir12ORCID,Chen Yangchao2,Islam Zia Ul1,Aman Aisha1,Almutairi Mashal M.3ORCID,Alouffi Abdulaziz4ORCID,Mohammed Aymen5,Shah Aftab Ali6ORCID,Rehman Zia Ur7,Hussain Ibrar8,Ali Abid9ORCID,Jalil Fazal1ORCID

Affiliation:

1. Department of Biotechnology, Abdul Wali Khan University Mardan, Mardan 23200, Pakistan

2. School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong 999077, China

3. Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia

4. King Abdulaziz City for Science and Technology, Riyadh 12354, Saudi Arabia

5. Division of Molecular Therapeutics and Formulation, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK

6. Department of Biotechnology, Faculty of Biological Sciences, University of Malakand, Chakdara 18800, Pakistan

7. Peshawar Medical College, Peshawar 25160, Pakistan

8. Department of Medicine, Lady Reading Hospital (LRH), Peshawar 25000, Pakistan

9. Department of Zoology, Abdul Wali Khan University Mardan, Mardan 23200, Pakistan

Abstract

Introduction: MicroRNAs (miRNAs) are small non-coding RNAs that play a key role in post-transcriptional modulation of individual genes’ expression. Several miRNA variants from different populations are known to be associated with an increased risk of rheumatoid arthritis (RA). Aim: This study was undertaken with the aim to investigate the association of single nucleotide variants; namely, rs2292832, rs3746444, rs11614913, rs1044165, and rs767649 of MIR149, MIR499, MIR196, MIR223, and MIR155, respectively, with RA in the Pakistani population. Methods: A case-control study was performed by recruiting and genotyping a total of 600 individuals (300 cases and 300 controls) for these five variants using a TaqMan single-nucleotide polymorphism (SNP) genotyping assay. The resultant genotypic data was statistically analyzed through a chi-squared test for its association with RA under different inheritance models. Results: We found a significant association of rs2292832 with RA at genotypic (co-dominant (p < 0.0001), dominant (CC vs. TT + CT: OR 2.063 (1.437–2.962); p = 0.0001), recessive (TT vs. CT + CC: OR 0.376 (0.259–0.548); p < 0.0001)), and allelic (allele C) levels ((OR 0.506 (0.402–0637); p < 0.0001)). Similarly, the rs3746444 showed a significant association with RA under co-dominant (p = 0.0001), dominant (GG vs. AA + AG: OR 5.246 (3.414–8.061); p < 0.0001), recessive (AA vs. GG + AG: OR 0.653 (0.466–0.916); p = 0.014), and additive models (G vs. A; OR 0.779 (0.620–0.978); p = 0.03). However, we did not observe any significant association of rs11614913, rs1044165, or rs767649 with RA in our subjects. Conclusion: To our knowledge, this was the first study that investigated and found an association between functional polymorphisms in miRNAs and RA in the Pakistani population.

Funder

Higher Education Commission of Pakistan

School of Biomedical Sciences of The Chinese University of Hong Kong

King Saud University

Higher Education Commission, Pakistan

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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