Evidence map›Paper›PMID 30763636›Full record

ReviewBone2019

Using zebrafish to study skeletal genomics.

Ronald Y Kwon, Claire J Watson, David Karasik

Open access · greenAbstract readReview
In one paragraph

Review in Bone, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Loss ofJBMR plus · 2025
    Article
  4. MicroCT Scanning and Analysis of the Zebrafish Skeleton.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Review
  6. Standardization of bone morphometry and mineral density assessments in zebrafish and other small laboratory fishes using X-ray radiography and micro-computed tomography.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Article
  7. Article
  8. Loss ofbioRxiv : the preprint server for biology · 2024
    Article
  9. A Zebrafish Mutant in the Extracellular Matrix Protein GeneAnimals : an open access journal from MDPI · 2023
    Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Why Animal Experiments Are Still Indispensable in Bone Research: A Statement by the European Calcified Tissue Society.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Ronald Y KwonDepartment of Orthopaedics and Sports Medicine, University of Washington, Seattle, WA, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA; Department of Mechanical Engineering, University of Washington, Seattle, WA, USA. Electronic address: ronkwon@uw.edu.
Claire J WatsonDepartment of Orthopaedics and Sports Medicine, University of Washington, Seattle, WA, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA.
David KarasikThe Musculoskeletal Genetics Laboratory, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel; Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA, USA. Electronic address: karasik@hsl.harvard.edu.
University of Washington · USBar-Ilan University · IL

Funding

Identifying Osteoporosis Genes by Whole Genome Sequencing and Functional Validation in Zebra FishR01AR072199 · NIAMS · HEBREW REHABILITATION CENTER FOR AGED · PI HSU, YI-HSIANG · 2017 to 2022
$3.2M
Neuroskeletal Systems Biology in ZebrafishK01AR066061 · NIAMS · UNIVERSITY OF WASHINGTON · PI KWON, RONALD Y · 2015 to 2019
$614k
NIAMS NIH HHS K01 AR066061NIAMS NIH HHS R01 AR072199
6 · The paper itself

Abstract

While genome-wide association studies (GWAS) have revolutionized our understanding of the genetic architecture of skeletal diseases, animal models are required to identify causal mechanisms and to translate underlying biology into new therapies. Despite large-scale knockout mouse phenotyping efforts, the skeletal functions of most genes residing at GWAS-identified loci remain unknown, highlighting a need for complementary model systems to accelerate gene discovery. Over the past several decades, zebrafish (Danio rerio) has emerged as a powerful system for modeling the genetics of human diseases. In this review, our goal is to outline evidence supporting the utility of zebrafish for accelerating our understanding of human skeletal genomics, as well as gaps in knowledge that need to be filled for this purpose. We do this by providing a basic foundation of the zebrafish skeletal morphophysiology and phenotypes, and surveying evidence of skeletal gene homology and the use of zebrafish for post-GWAS analysis in other tissues and organs. We also outline challenges in translating zebrafish mutant phenotypes. Finally, we conclude with recommendations of future directions and how to leverage the large body of tools and knowledge of skeletal genetics in zebrafish for the needs of human skeletal genomic exploration. Due to their amenability to rapid genetic approaches, as well as the large number of conserved genetic and phenotypic features, there is a strong rationale supporting the use of zebrafish for human skeletal genomic studies.

Indexed as

AnimalsBone and BonesDisease Models, AnimalGenome-Wide Association StudyGenomicsHumansMicePhenotypeZebrafishBone diseaseGenomeGWASImagingSkeletonZebrafish

Identifiers

PMID30763636
PMCPMC6626559
OpenAlexW2911281320

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.