Evidence map›Paper›PMID 37831357›Full record

ReviewCurrent osteoporosis reports2023

Genetic and Gene Expression Resources for Osteoporosis and Bone Biology Research.

Serra Kaya, Tamara Alliston, Daniel S Evans

Open access · greenAbstract readReview
In one paragraph

Review in Current osteoporosis reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Transcriptomics in the Study of Bone and Cartilage.Current osteoporosis reports · 2026
    Review
  2. Article
  3. 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 1 institution in 1 country.

Serra KayaDepartment of Orthopedic Surgery, University of California, San Francisco, CA, USA.
Tamara AllistonDepartment of Orthopedic Surgery, University of California, San Francisco, CA, USA.
Daniel S EvansDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA. Daniel.Evans@ucsf.edu.ORCID 0000-0003-4185-7687
University of California, San Francisco · US

Funding

The mechanistic control of bone quality and joint crosstalk by osteocytesR01DE019284 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, CHRISTOPHER JOHN · 2009 to 2024
$7.6M
Osteocyte-dependent mechanisms of bone cartilage crosstalk in osteoarthritisR21AR083065 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AKBAS KAYA, AYSE SERRA · 2023 to 2023
$409k
NIAMS NIH HHS R21 AR083065NIDCR NIH HHS R01 DE019284
6 · The paper itself

Abstract

purpose of reviewThe integration of data from multiple genomic assays from humans and non-human model organisms is an effective approach to identify genes involved in skeletal fragility and fracture risk due to osteoporosis and other conditions. This review summarizes genome-wide genetic variation and gene expression data resources relevant to the discovery of genes contributing to skeletal fragility and fracture risk. RECENT

findingsGenome-wide association studies (GWAS) of osteoporosis-related traits are summarized, in addition to gene expression in bone tissues in humans and non-human organisms, with a focus on rodent models related to skeletal fragility and fracture risk. Gene discovery approaches using these genomic data resources are described. We also describe the Musculoskeletal Knowledge Portal (MSKKP) that integrates much of the available genomic data relevant to fracture risk. The available genomic resources provide a wealth of knowledge and can be analyzed to identify genes related to fracture risk. Genomic resources that would fill particular scientific gaps are discussed.

Indexed as

Fractures, BoneOsteoporosisBiologyBone and BonesBone DensityGene ExpressionGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansBoneGWASMSKKPOsteoporosisSkeletal fragilityTranscriptomics

Identifiers

PMID37831357
PMCPMC11098148
OpenAlexW4387600068

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.