Literature DB >> 35704669

Association between MIR31HG polymorphisms and the risk of Lumbar disc herniation in Chinese Han population.

Xinglv Hu1,2, Dingjun Hao1,3, Jichao Yin2, Futai Gong2, Xiangyang Wang2, Ruoxi Wang2, Bo Liu2.   

Abstract

Lumbar disc herniation (LDH) is a common spinal disease that endangers human health. Genetic factors play a vital role in the progression of LDH. This study aimed to explore the relationship of the MIR31HG polymorphism with LDH risk in the Chinese population. Seven candidate SNPs on MIR31HG in 504 patients with LDH and 503 healthy people were genotyped by Agena MassARRAY platform. Logistic regression was used to calculate the relationship between MIR31HG polymorphism and LDH risk under different genetic models. Multi-factor dimensionality reduction (MDR) analysis was performed to evaluate the SNP-SNP interaction. We found that rs10965059 was significantly associated with a decreased risk of LDH under the dominant (OR = 0.46, 95% CI: 0.34-0.62, P < 0.001), log-additive (OR = 0.59, 95%CI: 0.45-0.76, P < 0.001), and codominant (OR = 0.40, 95%CI: 0.29-0.55, P < 0.001) models in the overall analysis. In the subgroup analyses of age, male, and complications, we found that rs10965059 was associated with a reduced risk of LDH. However, there was no significant correlation between MiR-31HG polymorphisms and risk of LDH in females. In addition, the three SNPs (rs72703442-rs2025327-rs55683539) was mapped to a 26kb LD block with D' >0.96, suggesting a significant linkage disequilibrium presence among each pair SNPs. MDR analysis showed that the best single-locus and multi-locus models for the prediction of LDH risk were rs10965059 and seven-locus models, respectively, and both of them increased LDH risk. Our results shown that in the Chinese Han population, the MIR31HG polymorphism rs10965059 was involved in a risk to symptomatic LDH, which provides a scientific basis for early screening, prevention, diagnosis and treatment of local LDH high-risk populations.

Entities:  

Keywords:  Chinese Han population; MIR31HG; case-control study; lumbar disc herniation; single nucleotide polymorphisms

Mesh:

Substances:

Year:  2022        PMID: 35704669      PMCID: PMC9467585          DOI: 10.1080/15384101.2022.2087281

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   5.173


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Review 1.  Statistics notes. The odds ratio.

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