Evidence map›Paper›PMID 24133373›Full record

ReviewThe application of clinical genetics2013

Clinical impact of recent genetic discoveries in osteoporosis.

Braxton D Mitchell, Elizabeth A Streeten

Abstract readReview
In one paragraph

Review in The application of clinical genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Low Bone Mineral Density in Hemophiliacs.Frontiers in medicine · 2022
    Review
  4. Article
  5. Genetic profiling of decreased bone mineral density in an independent sample of Caucasian women.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. A single nucleotide polymorphism in osteonectin 3' untranslated region regulates bone volume and is targeted by miR-433.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2015
    Article
  11. 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

2 authors.

Braxton D MitchellDepartment of Medicine and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, and Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, MD, USA.
Elizabeth A Streeten

Funding

Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI WONDISFORD, FREDRIC E. · 2013 to 2017
$9.7M
NIDDK NIH HHS P30 DK072488NIDDK NIH HHS P30 DK079637
6 · The paper itself

Abstract

Osteoporotic fracture carries an enormous public health burden in terms of mortality and morbidity. Current approaches to identify individuals at high risk for fracture are based on assessment of bone mineral density and presence of other osteoporosis risk factors. Bone mineral density and susceptibility to osteoporotic fractures are highly heritable, and over 60 loci have been robustly associated with one or both traits through genome-wide association studies carried out over the past 7 years. In this review, we discuss opportunities and challenges for incorporating these genetic discoveries into strategies to prevent osteoporotic fracture and translating new insights obtained from these discoveries into development of new therapeutic targets.

Indexed as

bone mineral densityfracturegeneticsgenome-wide association studiesosteoporosisprediction

Identifiers

PMID24133373
PMCPMC3796859

What OpenQuestion holds

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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.