Evidence map›Paper›PMID 23951485›Full record

ArticleBoneKEy reports2012

The need for mouse models in osteoporosis genetics research.

Cheryl L Ackert-Bicknell, Matthew A Hibbs

Open access · greenAbstract read
In one paragraph

Article in BoneKEy reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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 at 1 institution in 1 country.

Cheryl L Ackert-BicknellThe Jackson Laboratory , Bar Harbor, ME, USA .
Matthew A Hibbs
Jackson Laboratory · US

Funding

Co-localizing Quantitative Trait Loci for Bone Mineral Density and HDL in MiceR01AR060234 · NIAMS · UNIVERSITY OF ROCHESTER · PI ACKERT-BICKNELL, CHERYL LYNNE · 2010 to 2014
$1.5M
Genetics of Osteoblast DifferentiationR21AR060981 · NIAMS · JACKSON LABORATORY · PI ACKERT-BICKNELL, CHERYL LYNNE, HIBBS, MATTHEW AARON · 2011 to 2012
$445k
NIAMS NIH HHS R01 AR060234NIAMS NIH HHS R21 AR060981
6 · The paper itself

Abstract

Osteoporosis, the progressive loss of bone mass resulting in fragility fractures, affects ∼75 million people in the United States, Europe and Japan. Bone mineral density (BMD) correlates with fracture risk and is widely used in clinical settings to predict fracture. Numerous studies have demonstrated that peak bone mass is highly heritable and consequently a number of genome-wide association studies (GWASs) have been conducted to identify the genes that regulate BMD. Traditional intercross mapping in the mouse has met with limited successes in the field of skeletal biology. With the advent of human GWAS, questions have arisen about the continued need for mouse models in genetics research. However, significant advances have been made in the field of mouse genetics, including new genetics resource populations and loci mapping techniques, which enable gene-level mapping resolution. In this review, we discuss the need for mouse models to help understand the skeletal biology underlying novel human GWAS findings, how loci discovered in the mouse can be used to complement GWAS analysis and highlight the recent advances made in the field of skeletal biology from the use of these new and developing resources. We conclude this paper with a discussion of the need for systems-level approaches in the skeletal biology field, with an emphasis on the need for pathway and network analyses.

Identifiers

PMID23951485
PMCPMC3727715
OpenAlexW2060753749

What OpenQuestion holds

Textmetadata
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.