ArticleRheumatology international2017
Non-synonymous WNT16 polymorphisms alleles are associated with different osteoarthritis phenotypes.
Article in Rheumatology international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Exploring the Causal Relationship Between Osteoporosis and Rheumatoid Arthritis: A Bidirectional Mendelian Randomization Study.Orthopedic research and reviews · 2025Article
- Causality between Ankylosing Spondylitis and osteoarthritis in European ancestry: a bidirectional Mendelian randomization study.Frontiers in immunology · 2024Article
- Genetic Causal Association between Iron Status and Osteoarthritis: A Two-Sample Mendelian Randomization.Nutrients · 2022Article
- Wnt16 signaling in bone homeostasis and osteoarthristis.Frontiers in endocrinology · 2022Review
- Transcriptome dynamics of long noncoding RNAs and transcription factors demarcate human neonatal, adult, and human mesenchymal stem cell-derived engineered cartilage.Journal of tissue engineering and regenerative medicine · 2020Article
- Variations of Wnt/β-catenin pathway-related genes in susceptibility to knee osteoarthritis: A three-centre case-control study.Journal of cellular and molecular medicine · 2019Article
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Authors and funding
8 authors at 1 institution in 1 country.
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Abstract
Hereditary factors have a strong influence on osteoarthritis (OA). The Wnt pathway is involved in bone and cartilage homeostasis. Hence, we hypothesized that allelic variations of WNT16 could influence the OA phenotype. We studied 509 Caucasian patients undergoing joint replacement due to severe primary OA. Radiographs were used to classify the OA as atrophic or hypertrophic. Two nonsynonymous polymorphisms of WNT16 (rs2707466 and rs2908004) were analyzed. The association between the genotypes and the OA phenotype was analyzed by logistic regression and adjusted for age and body mass index. A genotype-phenotype association was found in the sex-stratified analysis. Thus, there was a significant difference in the genotypic frequencies of rs2707466 between hypertrophic and atrophic hip OA in males (p = 0.003), with overrepresentation of G alleles in the hypertrophic phenotype (OR 2.08; CI 1.28-3.38). An association in the same direction was observed between these alleles and the type of knee OA, with G alleles being more common in the hypertrophic than in atrophic knee phenotypes (p = 0.008; OR 1.956, CI 1.19-3.19). Similar associations were found for the rs2908004 SNP, but it only reached statistical significance for knee OA (p = 0.017; OR 0.92, CI 0.86-0.989). This is the first study attempting to explore the association of genetic variants with the OA phenotype. These data suggest the need to consider the OA phenotype in future genetic association studies of OA.
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