ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2023
A longitudinal genome-wide association study of bone mineral density mean and variability in the UK Biobank.
Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 23 citations in OpenAlex.
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- Cellular signaling crosstalk between osteoporosis and diabetes: Common mechanisms and therapeutic targets (Review).Biomedical reports · 2026Review
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- Genetic drivers of progression in Alzheimer's disease are distinct from disease risk.medRxiv : the preprint server for health sciences · 2025Article
- GWAS-informed data integration and non-coding CRISPRi screen illuminate genetic etiology of bone mineral density.Genome biology · 2025Article
- Genome topology analysis and transcriptomics of human osteoclasts reveals enhancer-promoter interactions at loci for bone traits and diseases.JBMR plus · 2025Article
- Association between osteoporosis and rotator cuff tears: evidence from causal inference and colocalization analyses.Bone research · 2025Article
- Associations of ethnicity, skin tone, and genome-wide sequencing with bone mineral density in adolescents.Pediatric research · 2025Article
- Bridging Genomic Research Disparities in Osteoporosis GWAS: Insights for Diverse Populations.Current osteoporosis reports · 2025Review
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Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Bone mineral density (BMD) is an essential predictor of osteoporosis and fracture. We conducted a genome-wide trajectory analysis of BMD and analyzed the BMD change. PURPOSE: This study aimed to identify the genetic architecture and potential biomarkers of BMD.
methodsOur analysis included 141,261 white participants from the UK Biobank with heel BMD phenotype data. We used a genome-wide trajectory analysis tool, TrajGWAS, to conduct a genome-wide association study (GWAS) of BMD. Then, we validated our findings in previously reported BMD genetic associations and performed replication analysis in the Asian participants. Finally, gene-set enrichment analysis (GSEA) of the identified candidate genes was conducted using the FUMA platform.
resultsA total of 52 genes associated with BMD trajectory mean were identified, of which the top three significant genes were WNT16 (P = 1.31 × 10
conclusionsOur findings indicated that the CPED1-WNT16-FAM3C locus plays a significant role in BMD mean trajectories and identified several novel candidate genes contributing to BMD within-subject variability, facilitating the understanding of the genetic architecture of BMD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.