1. Unveiling the genetic variation of severe continuous/mixed-type ossification of the posterior longitudinal ligament by whole-exome sequencing and bioinformatic analysis
- Author
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Chun Kee Chung, Myung Eui Seo, Chang Hyun Lee, Sang Gu Lee, Chi Heon Kim, Ki-Tae Kim, Eun Young Lee, and Ju Han Kim
- Subjects
business.industry ,Case-control study ,Computational Biology ,Genetic Variation ,Context (language use) ,Subgroup analysis ,Odds ratio ,Ossification of Posterior Longitudinal Ligament ,Bioinformatics ,Longitudinal Ligaments ,Minor allele frequency ,Osteogenesis ,Case-Control Studies ,Exome Sequencing ,Genetic variation ,Cervical Vertebrae ,Humans ,Missense mutation ,Medicine ,Surgery ,Orthopedics and Sports Medicine ,Neurology (clinical) ,business ,Exome sequencing - Abstract
BACKGROUND CONTEXT Ossification of the posterior longitudinal ligament (OPLL) in the cervical spine is known as a rare, complex genetic disease, its complexity being partly because OPLL is diagnosed by radiological findings regardless of clinical or genetic evaluations. Although many genes associated with susceptibility have been reported, the exact causative genes are still unknown. PURPOSE We performed an analysis using next-generation sequencing and including only patients with a clear involved phenotype. STUDY DESIGN/SETTING This was a case control study. PATIENT SAMPLE A total of 74 patients with severe OPLL and 26 healthy controls were included. OUTCOME MEASURES Causal single-nucleotide variant (SNV), gene-wise variant burden (GVB), and related pathway METHOD We consecutively included the severe OPLL patients with continuous-/mixed-type and an occupying ratio of ≥ 40%, and performed whole-exome sequencing (WES) and bioinformatic analysis. Then, a validation test was performed for candidate variations. Participants were divided into 4 groups (rapidly-growing OPLL, growing rate ≥ 2.5%/y; slow-growing, RESULTS WES was performed on samples from 74 patients with OPLL (rapidly-growing, 33 patients; slow-growing, 37; and uncertain, 4) with 26 healthy controls. Analysis of 100 participants identified a newly implicated SNV and 4candidate genes based on GVB. The GVB of CYP4B1 showed a more deleterious score in the OPLL than the control group. Comparison between the rapidly growing OPLL and control groups revealed seven newly identified SNVs. We found significant association for 2 rare missense variants; rs121502220 (odds ratio [OR] = infinite; minor allele frequency [MAF] = 0.034) in NLRP1 and rs13980628 (OR= infinite; MAF = 0.032) in SSH2. The 3 genes are associated with inflammation control and arthritis, and SSH2 and NLRP1 are also related to vitamin D modulation. CONCLUSIONS Identification of unique variants in novel genes such as CYP4B1 gene may induce the development of OPLL. In subgroup analysis, NLRP1 and SSH2 genes coding inflammation molecules may related with rapidly-growing OPLL.
- Published
- 2021
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