Evidence map›Paper›PMID 31133984›Full record

ReviewFrontiers in endocrinology2019

Mouse Models and Online Resources for Functional Analysis of Osteoporosis Genome-Wide Association Studies.

Robert D Maynard, Cheryl L Ackert-Bicknell

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  10. Observational
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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.

Robert D MaynardCenter for Musculoskeletal Research, University of Rochester, Rochester, NY, United States.
Cheryl L Ackert-BicknellCenter for Musculoskeletal Research, University of Rochester, Rochester, NY, United States.

Funding

Skeletal Phenotyping of KOMP MiceR01AR063702 · NIAMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ACKERT-BICKNELL, CHERYL LYNNE, ROWE, DAVID W. · 2013 to 2017
$3.2M
NIAMS NIH HHS R01 AR063702
6 · The paper itself

Abstract

Osteoporosis is a complex genetic disease in which the number of loci associated with the bone mineral density, a clinical risk factor for fracture, has increased at an exponential rate in the last decade. The identification of the causative variants and candidate genes underlying these loci has not been able to keep pace with the rate of locus discovery. A large number of tools and data resources have been built around the use of the mouse as model of human genetic disease. Herein, we describe resources available for functional validation of human Genome Wide Association Study (GWAS) loci using mouse models. We specifically focus on large-scale phenotyping efforts focused on bone relevant phenotypes and repositories of genotype-phenotype data that exist for transgenic and mutant mice, which can be readily mined as a first step toward more targeted efforts designed to deeply characterize the role of a gene in bone biology.

Indexed as

bonefunctional validationgeneticsmouse modelsosteoporosis

Identifiers

PMID31133984
PMCPMC6515928

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.