Evidence map›Paper›PMID 32777102›Full record

ReviewJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2020

The Musculoskeletal Knowledge Portal: Making Omics Data Useful to the Broader Scientific Community.

Douglas P Kiel, John P Kemp, Fernando Rivadeneira, Jennifer J Westendorf, David Karasik, Emma L Duncan, Yuuki Imai, Ralph Müller, Jason Flannick, Lynda Bonewald and 1 more

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Rare and Common Variants in GALNT3 May Affect Bone Mass Independently of Phosphate Metabolism.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2023
    Article
  11. Article
  12. Long non-coding RNA CASC2 regulates osteoblasts matrix mineralization.Frontiers in bioengineering and biotechnology · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Prioritization of Genes Relevant to Bone Fragility Through the Unbiased Integration of Aging Mouse Bone Transcriptomics and Human GWAS Analyses.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
    Article
  17. Article
  18. Review
  19. Single Cell Omics for Musculoskeletal Research.Current osteoporosis reports · 2021
    Review
  20. Genome-wide Association Studies Reveal Novel Locus With Sex-/Therapy-Specific Fracture Risk Effects in Childhood Cancer Survivors.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 10 institutions in 7 countries.

Douglas P KielHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife Boston, MA, USA.ORCID 0000-0001-8474-0310
John P KempThe University of Queensland Diamantina Institute, University of Queensland, Woolloongabba, QLD 4102, Australia.ORCID 0000-0002-9105-2249
Fernando RivadeneiraDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0001-9435-9441
Jennifer J WestendorfDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-4464-6108
David KarasikHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife Boston, MA, USA.ORCID 0000-0002-8826-0530
Emma L DuncanDepartment of Twin Research & Genetic Epidemiology, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College, London, UK.
Yuuki ImaiDivision of Integrated Pathophysiology, Proteo-Science Center, Department of Pathophysiology, Graduate School of Medicine, and Division of Laboratory Animal Research, Advanced Research Support Center, Ehime University, Toon, Ehime, Japan.ORCID 0000-0002-6119-0034
Ralph MüllerInstitute for Biomechanics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-5811-7725
Jason FlannickHarvard Medical School, Boston, MA, USA.
Lynda BonewaldIndiana Center for Musculoskeletal Health, Indiana University, Indianapolis, IN, USA.ORCID 0000-0002-5536-9943
Noël BurttBroad Institute of MIT & Harvard, Boston and Cambridge, MA, USA.
Broad Institute · USBar-Ilan University · ILBoston Children's Hospital · USEhime University · JPErasmus MC · NLETH Zurich · CHIndiana University Health · USKing's College London · GBMayo Clinic in Arizona · USTranslational Research Institute · AU

Funding

Transgenic and Mechanical Loading CoreP01AG039355 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI BONEWALD, LYNDA F · 2012 to 2024
$19.3M
RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
The Association to Function Knowledge Portal: a genomic data resource for translating GWAS associations to biological effectsU24HG011453 · NHGRI · BROAD INSTITUTE, INC. · PI BURTT, NOEL P, FLANNICK, JASON · 2021 to 2025
$3.4M
NHGRI NIH HHS U24 HG011453NIAMS NIH HHS R01 AR041398NIA NIH HHS P01 AG039355
6 · The paper itself

Abstract

The development of high-throughput genotyping technologies and large biobank collections, complemented with rapid methodological advances in statistical genetics, has enabled hypothesis-free genome-wide association studies (GWAS), which have identified hundreds of genetic variants across many loci associated with musculoskeletal conditions. Similarly, basic scientists have valuable molecular cellular and animal data based on musculoskeletal disease that would be enhanced by being able to determine the human translation of their findings. By integrating these large-scale human genomic musculoskeletal datasets with complementary evidence from model organisms, new and existing genetic loci can be statistically fine-mapped to plausibly causal variants, candidate genes, and biological pathways. Genes and pathways identified using this approach can be further prioritized as drug targets, including side-effect profiling and the potential for new indications. To bring together these big data, and to realize the vision of creating a knowledge portal, the International Federation of Musculoskeletal Research Societies (IFMRS) established a working group to collaborate with scientists from the Broad Institute to create the Musculoskeletal Knowledge Portal (MSK-KP)(http://mskkp.org/). The MSK consolidates omics datasets from humans, cellular experiments, and model organisms into a central repository that can be accessed by researchers. The vision of the MSK-KP is to enable better understanding of the biological mechanisms underlying musculoskeletal disease and apply this knowledge to identify and develop new disease interventions. © 2020 American Society for Bone and Mineral Research (ASBMR).

Indexed as

Genetic LociGenome-Wide Association StudyAnimalsGenomicsHumansDISEASES AND DISORDERS OF/RELATED TO BONEEPIGENETICSGENETIC RESEARCHOSTEOARTHRITISOSTEOPOROSIS

Identifiers

PMID32777102
PMCPMC8114232
OpenAlexW3048139920

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.