ReviewNature reviews. Rheumatology2016
The genetics of bone mass and susceptibility to bone diseases.
Review in Nature reviews. Rheumatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 84 citations in OpenAlex.
- Maternal Sleep Quality and Early-Life Epigenetic Programming of Bone-Related Genes in Neonatal Cord Blood: Findings from the PERSIAN Birth Cohort, Isfahan.Calcified tissue international · 2026Article
- Article
- Unraveling the causal role of TGF-βRII in osteoporosis and the potential of its associated differential genes as novel targets.European journal of medical research · 2025Article
- Unveiling two distinct osteolineage cell populations linked to age-related osteoporosis in adult mice through integrative single-cell analyses.Cellular and molecular life sciences : CMLS · 2025Article
- Macrophages in osteoporotic fractures: from immunometabolic mechanisms to precision therapeutic approaches.Frontiers in endocrinology · 2025Review
- Healing sequelae following tooth extraction and dental implant placement in an aged, ovariectomy model.JBMR plus · 2024Article
- Copy Number Variation and Osteoporosis.Current osteoporosis reports · 2023Review
- Application of Single-Cell and Spatial Omics in Musculoskeletal Disorder Research.International journal of molecular sciences · 2023Review
- Article
- Feature selection approaches identify potential plasma metabolites in postmenopausal osteoporosis patients.Metabolomics : Official journal of the Metabolomic Society · 2022Article
- Physiological Mineralization during In Vitro Osteogenesis in a Biomimetic Spheroid Culture Model.Cells · 2022Article
- Review
- Article
- Article
- The "GEnomics of Musculo Skeletal Traits TranslatiOnal NEtwork": Origins, Rationale, Organization, and Prospects.Frontiers in endocrinology · 2021Review
- Comprehensive Analysis of RNA-Seq Gene Expression Profiling of Brain Transcriptomes Reveals Novel Genes, Regulators, and Pathways in Autism Spectrum Disorder.Brain sciences · 2020Article
- Epigenetic Regulation of Skeletal Tissue Integrity and Osteoporosis Development.International journal of molecular sciences · 2020Review
- Postmenopausal Osteoporosis reference genes for qPCR expression assays.Scientific reports · 2019Article
- [An optimized method for embedding undecalcified mouse tibias in plastic blocks].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2019Article
- WNT3A accelerates delayed alveolar bone repair in ovariectomized mice.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteoporosis is characterized by low bone mass and an increased risk of fracture. Genetic factors, environmental factors and gene-environment interactions all contribute to a person's lifetime risk of developing an osteoporotic fracture. This Review summarizes key advances in understanding of the genetics of bone traits and their role in osteoporosis. Candidate-gene approaches dominated this field 20 years ago, but clinical and preclinical genetic studies published in the past 5 years generally utilize more-sophisticated and better-powered genome-wide association studies (GWAS). High-throughput DNA sequencing, large genomic databases and improved methods of data analysis have greatly accelerated the gene-discovery process. Linkage analyses of single-gene traits that segregate in families with extreme phenotypes have led to the elucidation of critical pathways controlling bone mass. For example, components of the Wnt-β-catenin signalling pathway have been validated (in both GWAS and functional studies) as contributing to various bone phenotypes. These notable advances in gene discovery suggest that the next decade will witness cataloguing of the hundreds of genes that influence bone mass and osteoporosis, which in turn will provide a roadmap for the development of new drugs that target diseases of low bone mass, including osteoporosis.
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What OpenQuestion holds
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 OpenQuestion graph.