ArticleOsteoarthritis and cartilage open2026
Familial clustering and physiological risk factors associated with intervertebral disc degeneration in a large population-based cohort.
Article in Osteoarthritis and cartilage open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Our goals were to use a large medical genetics database to identify individuals that were diagnosed with intervertebral disc degeneration (IDD), determine whether IDD clusters in multigenerational families, define the magnitude of familial risk for IDD, and identify risk factors associated with IDD. Methods: We searched the Utah Population Database to identify a cohort of patients diagnosed with IDD. Affected individuals were mapped to pedigrees to identify high-risk multigenerational families with excess clustering of IDD. Logistic regression models were used to calculate familial risk of IDD in related individuals. Physiological risk factors were evaluated using logistic regression models. Results: We identified 614 pedigrees with an excess clustering of IDD. The relative risk of developing IDD was significantly elevated in the first- and second-degree relatives of affected individuals. We identified a significant association of physiological risk factors with an IDD diagnosis, including unreported associations with epilepsy (OR = 1.64 [95% CI = 1.49-1.80]), cirrhosis/liver disease (OR = 1.84 [CI = 1.71-1.98]), and systemic lupus erythematosus (OR = 2.03 [95% CI = 1.31-3.16]). We discovered a potential new link between Gaucher Disease and IDD. Conclusion: Familial clustering of IDD was observed in a large, statewide population. Our data indicate that genetic, physiological, and environmental factors may contribute to the disease process, further highlighting the complex and multifactorial nature of the disease.
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