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Updated: Feb 6, 2026

Optical Sectioning and Visualization of the Intervertebral Disc from Embryonic Development to Degeneration
Published on: July 8, 2021
Fat Mass and Obesity-Associated (FTO) Gene Polymorphisms Are Associated with Risk of Intervertebral Disc Degeneration
Jia Chen1,2, Qiankun Zhu1,2, Gang Liu1,2,3
1Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China (mainland).
Abstract:
BACKGROUND The present study aimed to evaluate whether the fat mass and obesity-associated (FTO) gene polymorphisms are associated with risk of intervertebral disc degeneration (IDD) in a largest Chinese Han population. MATERIAL AND METHODS There were 502 IDD patients and 497 healthy controls enrolled in this study. Nineteen single nucleotide polymorphisms (SNPs) in the FTO gene were tested using the Sequenom MassARRAY platform. The Hardy-Weinberg equilibrium test, followed by allelic, genotypic, haplotypic association, and SNP interaction analyses were used for SNP evaluation. The Genotype-Tissue Expression (GTEx) database was used to evaluate expression quantitative trait loci (eQTL) value of polymorphism. Spearman rank correlation and logistic regression analyses were used for assessing the internal relation between genotypic changes and the risk of IDD. RESULTS Seventeen SNPs survived the Hardy-Weinberg equilibrium test. Allelic analysis showed that allele T of SNP rs1121980 was a risk allele. Haplotypic and SNP interaction analyses suggested that 2 haplotypes and 5 SNP combinations were associated with the predisposition of IDD respectively. GTEx database revealed that the SNP rs1121980 might interfere with the expression of the FTO gene in the muscle-skeletal system. Through clinical statistics analysis, the different genotypes of rs1121980 can present different disease severity of IDD. CONCLUSIONS Our study suggests that rs1121980 can become a biomarker for the screening and prognosis of IDD. The 2 haplotype blocks and 5 SNP-SNP combinations that we discovered might be indicative of the onset of IDD. Therefore, our study might serve as evidence for future IDD molecular diagnosis.
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