Evidence map›Paper›PMID 22802146›Full record

ReviewCurrent osteoporosis reports2012

Systems genetics: a novel approach to dissect the genetic basis of osteoporosis.

Charles R Farber

Abstract readReview
In one paragraph

Review in Current osteoporosis reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Racial and gender differences in the relationship between sarcopenia and bone mineral density among older adults.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Article
  3. Review
  4. Article
  5. Article
  6. Socioeconomic status and bone mineral density in adults by race/ethnicity and gender: the Louisiana osteoporosis study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017
    Article
  7. Article
  8. Article
  9. Review
  10. 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

1 author.

Charles R FarberDepartment of Medicine and Biochemistry & Molecular Genetics, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA. crf2s@virginia.edu

Funding

Discovery of Bone Formation Genes through Integrative GenomicsR01AR057759 · NIAMS · UNIVERSITY OF VIRGINIA · PI FARBER, CHARLES R · 2011 to 2015
$1.7M
NIAMS NIH HHS R01 AR057759
6 · The paper itself

Abstract

From the early 1990s to the middle of the last decade, the search for genes influencing osteoporosis proved difficult with few successes. However, over the last 5 years this has begun to change with the introduction of genome-wide association (GWA) studies. In this short period of time, GWA studies have significantly accelerated the pace of gene discovery, leading to the identification of nearly 100 independent associations for osteoporosis-related traits. However, GWA does not specifically pinpoint causal genes or provide functional context for associations. Thus, there is a need for approaches that provide systems-level insight on how associated variants influence cellular function, downstream gene networks, and ultimately disease. In this review we discuss the emerging field of "systems genetics" and how it is being used in combination with and independent of GWA to improve our understanding of the molecular mechanisms involved in bone fragility.

Indexed as

Genetic Predisposition to DiseaseFemaleGenetics, MedicalGenome-Wide Association StudyHumansMaleOsteoporosis

Identifiers

PMID22802146
PMCPMC3422742

What OpenQuestion holds

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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.