Evidence map›Paper›PMID 30470485›Full record

ReviewTrends in genetics : TIG2019

Dissecting the Genetics of Osteoporosis using Systems Approaches.

Basel M Al-Barghouthi, Charles R Farber

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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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 at 1 institution in 1 country.

Basel M Al-BarghouthiCenter for Public Health Genomics, Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA.
Charles R FarberCenter for Public Health Genomics, Departments of Public Health Sciences and Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA. Electronic address: crf2s@virginia.edu.
University of Virginia · US

Funding

A Systems Genetics Approach to Identify BMD GenesR01AR071657 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FARBER, CHARLES R, GERSTENFELD, LOUIS CHARLES · 2018 to 2022
$3.9M
Genetic analysis of bone strengthR01AR068345 · NIAMS · UNIVERSITY OF VIRGINIA · PI FARBER, CHARLES R, HOROWITZ, MARK C · 2016 to 2020
$3.1M
Systems Genetics of Osteoblast ActivityR01AR064790 · NIAMS · UNIVERSITY OF VIRGINIA · PI ACKERT-BICKNELL, CHERYL LYNNE, FARBER, CHARLES R · 2015 to 2019
$2.0M
Transdisciplinary Big Data Science Training at UVaT32LM012416 · NLM · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, LOUGHRAN, THOMAS P. · 2016 to 2020
$1.3M
NIAMS NIH HHS R01 AR064790NIAMS NIH HHS R01 AR068345NIAMS NIH HHS R01 AR071657NLM NIH HHS T32 LM012416
6 · The paper itself

Abstract

Osteoporosis is a condition characterized by low bone mineral density (BMD) and an increased risk of fracture. Traits contributing to osteoporotic fracture are highly heritable, indicating that a comprehensive understanding of bone requires a thorough understanding of the genetic basis of bone traits. Towards this goal, genome-wide association studies (GWASs) have identified over 500 loci associated with bone traits. However, few of the responsible genes have been identified, and little is known of how these genes work together to influence systems-level bone function. In this review, we describe how systems genetics approaches can be used to fill these knowledge gaps.

Indexed as

Genetic Predisposition to DiseaseBone DensityFractures, BoneGenotypeHumansOsteoporosisPhenotypePolymorphism, Single NucleotideQuantitative Trait LociRisk FactorsSystems BiologyBayesian networksbone mineral densitycoexpression networksgenome-wide association studyosteoporosissystems genetics

Identifiers

PMID30470485
PMCPMC6309493
OpenAlexW2901907525

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.