Evidence map›Paper›PMID 17056310›Full record

ArticleBone2007

Quantitative genetics of cortical bone mass in healthy 10-year-old children from the Fels Longitudinal Study.

Dana L Duren, Richard J Sherwood, Audrey C Choh, Stefan A Czerwinski, Wm Cameron Chumlea, Miryoung Lee, Shumei S Sun, Ellen W Demerath, Roger M Siervogel, Bradford Towne

Open access · greenAbstract read
In one paragraph

Article in Bone, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The National Osteoporosis Foundation's position statement on peak bone mass development and lifestyle factors: a systematic review and implementation recommendations.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    Pooled it
  4. Article
  5. The gSOS polygenic score is associated with bone density and fracture risk in childhood.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Article
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Interindividual variation in functionally adapted trait sets is established during postnatal growth and predictable based on bone robustness.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2009
    Article
  16. Article
  17. A genome wide linkage scan of metacarpal size and geometry in the Framingham Study.American journal of human biology : the official journal of the Human Biology Council
    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

10 authors at 1 institution in 1 country.

Dana L DurenLifespan Health Research Center, Department of Community Health, Wright State University Boonshoft School of Medicine, 3171 Research Boulevard, Dayton, OH 45420, USA. dana.duren@wright.edu
Richard J Sherwood
Audrey C Choh
Stefan A Czerwinski
Wm Cameron Chumlea
Miryoung Lee
Shumei S Sun
Ellen W Demerath
Roger M Siervogel
Bradford Towne
Wright State University · US

Funding

SUBCUTANEOUS FAT, BLOOD LIPIDS AND SUBSEQUENT OUTCOMER01HD012252 · NICHD · WRIGHT STATE UNIVERSITY · PI CZERWINSKI, STEFAN A. · 1985 to 2014
$17.3M
Genetic Analysis of Osteoporosis Risk FactorsR01AR052147 · NIAMS · WRIGHT STATE UNIVERSITY · PI CZERWINSKI, STEFAN A. · 2005 to 2009
$2.2M
GENETIC EPIDEMIOLOGY OF CHILDHOOD SKELETAL MATURATIONR01HD036342 · NICHD · WRIGHT STATE UNIVERSITY · PI TOWNE, BRADFORD · 1999 to 2003
$1.8M
NIAMS NIH HHS AR052147NIAMS NIH HHS R01 AR052147NICHD NIH HHS HD12252NICHD NIH HHS HD36342NICHD NIH HHS R01 HD012252NICHD NIH HHS R01 HD036342
6 · The paper itself

Abstract

The genetic influences on bone mass likely change throughout the life span, but most genetic studies of bone mass regulation have focused on adults. There is, however, a growing awareness of the importance of genes influencing the acquisition of bone mass during childhood on lifelong bone health. The present investigation examines genetic influences on childhood bone mass by estimating the residual heritabilities of different measures of second metacarpal bone mass in a sample of 600 10-year-old participants from 144 families in the Fels Longitudinal Study. Bivariate quantitative genetic analyses were conducted to estimate genetic correlations between cortical bone mass measures, and measures of bone growth and development. Using a maximum likelihood-based variance components method for pedigree data, we found a residual heritability estimate of 0.71 for second metacarpal cortical index. Residual heritability estimates for individual measures of cortical bone (e.g., lateral cortical thickness, medial cortical thickness) ranged from 0.47 to 0.58, at this pre-pubertal childhood age. Low genetic correlations were found between cortical bone measures and both bone length and skeletal age. However, after Bonferonni adjustment for multiple testing, rho(G) was not significantly different from 0 for any of these pairs of traits. Results of this investigation provide evidence of significant genetic control over bone mass largely independent of maturation while bones are actively growing and before rapid accrual of bone that typically occurs during puberty.

Indexed as

Bone DensityBone DevelopmentChildFamilyFemaleHumansInheritance PatternsLongitudinal StudiesMaleMultivariate AnalysisPedigree

Identifiers

PMID17056310
PMCPMC1945206
OpenAlexW2100535136

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.