Evidence map›Paper›PMID 20357209›Full record

ReviewEndocrine reviews2010

Molecular genetic studies of gene identification for osteoporosis: the 2009 update.

Xiang-Hong Xu, Shan-Shan Dong, Yan Guo, Tie-Lin Yang, Shu-Feng Lei, Christopher J Papasian, Ming Zhao, Hong-Wen Deng

Abstract readReview
In one paragraph

Review in Endocrine reviews, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Metformin treatment reduces the incidence of osteoporosis: a two-sample Mendelian randomized study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Medical Treatment for Osteoporosis: From Molecular to Clinical Opinions.International journal of molecular sciences · 2019
    Review
  18. Article
  19. Article
  20. 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

8 authors.

Xiang-Hong XuInstitute of Molecular Genetics, Xi'an Jiaotong University, Shaanxi, People's Republic of China.
Shan-Shan Dong
Yan Guo
Tie-Lin Yang
Shu-Feng Lei
Christopher J Papasian
Ming Zhao
Hong-Wen Deng

Funding

Proteome-wide Expression Study of Osteogenic CellsP50AR055081 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2007 to 2012
$5.0M
ROBUST AND POWERFUL TEST OF CANDIDATE GENES TO BONE MASSR01AR050496 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2004 to 2013
$3.8M
Identification of Proteins Important for Male OsteoporosisR01AR057049 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2009 to 2013
$2.4M
Genomic search for bone mass QTLsR01AG026564 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2007 to 2010
$2.3M
Genome-wide association study of periodontitisRC2DE020756 · NIDCR · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN, GENCO, ROBERT J · 2009 to 2009
$173k
Genetics of Osteoporotic Fractures in ChineseR03TW008221 · FIC · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2009 to 2011
$171k
FIC NIH HHS R03 TW008221FIC NIH HHS R03TW008221NIAMS NIH HHS P50 AR055081NIAMS NIH HHS P50AR055081NIAMS NIH HHS R01 AR050496NIAMS NIH HHS R01AR050496NIAMS NIH HHS R01 AR057049NIAMS NIH HHS R01AR057049NIA NIH HHS R01 AG026564NIA NIH HHS R01AG026564NIDCR NIH HHS RC2 DE020756NIDCR NIH HHS RC2DE020756
6 · The paper itself

Abstract

Osteoporosis is a complex human disease that results in increased susceptibility to fragility fractures. It can be phenotypically characterized using several traits, including bone mineral density, bone size, bone strength, and bone turnover markers. The identification of gene variants that contribute to osteoporosis phenotypes, or responses to therapy, can eventually help individualize the prognosis, treatment, and prevention of fractures and their adverse outcomes. Our previously published reviews have comprehensively summarized the progress of molecular genetic studies of gene identification for osteoporosis and have covered the data available to the end of September 2007. This review represents our continuing efforts to summarize the important and representative findings published between October 2007 and November 2009. The topics covered include genetic association and linkage studies in humans, transgenic and knockout mouse models, as well as gene-expression microarray and proteomics studies. Major results are tabulated for comparison and ease of reference. Comments are made on the notable findings and representative studies for their potential influence and implications on our present understanding of the genetics of osteoporosis.

Indexed as

AnimalsBone DensityBone RemodelingCollagen Type ICytokinesEstrogen Receptor alphaEstrogen Receptor betaFemaleGenetic LinkageGenetic MarkersGenetic Predisposition to DiseaseHumansMaleMiceMice, KnockoutMice, TransgenicCollagen Type ICytokinesEstrogen Receptor alphaEstrogen Receptor betaGenetic MarkersReceptors, Calcitriol

Identifiers

PMID20357209
PMCPMC3365849

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.