Evidence map›Paper›PMID 23846556›Full record

ReviewCurrent osteoporosis reports2013

Impact of the environment on the skeleton: is it modulated by genetic factors?

Cheryl L Ackert-Bicknell, David Karasik

Open access · greenAbstract readReview
In one paragraph

Review in Current osteoporosis reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Novel Genetic Loci Control Calcium Absorption and Femur Bone Mass as Well as Their Response to Low Calcium Intake in Male BXD Recombinant Inbred Mice.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2016
    Article
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 2 institutions in 2 countries.

Cheryl L Ackert-BicknellThe Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609, USA, cheryl.ackertb@jax.org.
David Karasik
Hebrew SeniorLife · USJackson 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
NIAMS NIH HHS AR060234NIAMS NIH HHS R01 AR060234
6 · The paper itself

Abstract

The etiology of skeletal disease is driven by genetic and environmental factors. Genome-wide association studies (GWAS) of osteoporotic phenotypes have identified novel candidate genes, but have only uncovered a small proportion of the trait variance explained. This "missing heritability" is caused by several factors, including the failure to consider gene-by-environmental (G*E) interactions. Some G*E interactions have been investigated, but new approaches to integrate environmental data into genomic studies are needed. Advances in genotyping and meta-analysis techniques now allow combining genotype data from multiple studies, but the measurement of key environmental factors in large human cohorts still lags behind, as do the statistical tools needed to incorporate these measures in genome-wide association meta-studies. This review focuses on discussing ways to enhance G*E interaction studies in humans and how the use of rodent models can inform genetic studies. Understanding G*E interactions will provide opportunities to effectively target intervention strategies for individualized therapy.

Indexed as

Gene-Environment InteractionAnimalsBone and BonesBone DensityBone DiseasesDisease Models, AnimalEnvironmentGenome-Wide Association StudyHumansMiceMice, TransgenicOsteoporosis

Identifiers

PMID23846556
PMCPMC4038269
OpenAlexW2138049358

What Socratic 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 Socratic graph.