ReviewThe Journal of endocrinology2016
Rapid phenotyping of knockout mice to identify genetic determinants of bone strength.
Review in The Journal of endocrinology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects.American journal of human genetics · 2018Pooled it
- Converging evidence from exome sequencing and common variants implicates target genes for osteoporosis.Nature genetics · 2023Article
- Knockout of murine Lyplal1 confers sex-specific protection against diet-induced obesity.Journal of molecular endocrinology · 2023Article
- Osteoclast Recycling and the Rebound Phenomenon Following Denosumab Discontinuation.Current osteoporosis reports · 2022Review
- Review
- Using "-omics" Data to Inform Genome-wide Association Studies (GWASs) in the Osteoporosis Field.Current osteoporosis reports · 2021Review
- Article
- Perspective of the GEMSTONE Consortium on Current and Future Approaches to Functional Validation for Skeletal Genetic Disease Using Cellular, Molecular and Animal-Modeling Techniques.Frontiers in endocrinology · 2021Review
- Identification of a Core Module for Bone Mineral Density through the Integration of a Co-expression Network and GWAS Data.Cell reports · 2020Article
- The Musculoskeletal Knowledge Portal: Making Omics Data Useful to the Broader Scientific Community.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2020Review
- Article
- A road map for understanding molecular and genetic determinants of osteoporosis.Nature reviews. Endocrinology · 2020Review
- Opportunities and Challenges in Functional Genomics Research in Osteoporosis: Report From a Workshop Held by the Causes Working Group of the Osteoporosis and Bone Research Academy of the Royal Osteoporosis Society on October 5th 2020.Frontiers in endocrinology · 2020Review
- Using zebrafish to study skeletal genomics.Bone · 2019Review
- Predicting human disease mutations and identifying drug targets from mouse gene knockout phenotyping campaigns.Disease models & mechanisms · 2019Review
- Generating mouse models for biomedical research: technological advances.Disease models & mechanisms · 2019Review
- The Progress of CRISPR/Cas9-Mediated Gene Editing in Generating Mouse/Zebrafish Models of Human Skeletal Diseases.Computational and structural biotechnology journal · 2019Review
- Mouse Models and Online Resources for Functional Analysis of Osteoporosis Genome-Wide Association Studies.Frontiers in endocrinology · 2019Review
- Targeting of NAT10 enhances healthspan in a mouse model of human accelerated aging syndrome.Nature communications · 2018Article
- Screening Gene Knockout Mice for Variation in Bone Mass: Analysis by μCT and Histomorphometry.Current osteoporosis reports · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The genetic determinants of osteoporosis remain poorly understood, and there is a large unmet need for new treatments in our ageing society. Thus, new approaches for gene discovery in skeletal disease are required to complement the current genome-wide association studies in human populations. The International Knockout Mouse Consortium (IKMC) and the International Mouse Phenotyping Consortium (IMPC) provide such an opportunity. The IKMC generates knockout mice representing each of the known protein-coding genes in C57BL/6 mice and, as part of the IMPC initiative, the Origins of Bone and Cartilage Disease project identifies mutants with significant outlier skeletal phenotypes. This initiative will add value to data from large human cohorts and provide a new understanding of bone and cartilage pathophysiology, ultimately leading to the identification of novel drug targets for the treatment of skeletal disease.
Indexed as
Identifiers
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.