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Multidimensional Bone Density Phenotyping Reveals New Insights Into Genetic Regulation of the Pediatric Skeleton

Overview of attention for article published in Journal of Bone & Mineral Research, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
3 news outlets
twitter
6 X users
facebook
2 Facebook pages

Readers on

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31 Mendeley
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Article details
Title
Multidimensional Bone Density Phenotyping Reveals New Insights Into Genetic Regulation of the Pediatric Skeleton
Published in
Journal of Bone & Mineral Research, December 2017
DOI 10.1002/jbmr.3362
Pubmed ID
Authors
Abstract

Osteoporosis is a complex disease with developmental origins. It is therefore important to understand the genetic contribution to pediatric areal bone mineral density (aBMD). Individual skeletal site phenotyping has been primarily used to identify pediatric aBMD loci. However, this approach is limited because there is a degree of aBMD discordance across skeletal sites. We, therefore, applied a novel multi-dimensional phenotyping approach to further understand the genetic regulation of pediatric aBMD. Our sample comprised a prospective, longitudinal cohort of 1,293 children of European ancestry (52% female; up to 7 annual measurements). Principal components analysis was applied to dual energy X-ray absorptiometry derived aBMD Z-scores for total hip, femoral neck, spine and distal radius to generate multi-dimensional aBMD phenotypes (i.e. principal component scores). We tested the association between a genetic score (percentage of bone lowering alleles at 63 loci) and each principal component. We also performed a genome wide association (GWAS), using the multi-ethnic baseline data (N = 1,885) to identify novel loci associated with these principal components. The first component (PC1) reflected a concordant phenotypic model of the skeleton (e.g., higher loading score = higher BMD across all sites). In contrast, PC2 was discordant for distal radius versus spine and hip aBMD, and PC3 was discordant for spine versus distal radius and hip aBMD. The genetic score was associated with PC1 (beta = -0.05, P = 3.9 × 10-10 ), but was not associated with discordant PC2 or PC3. Our GWAS discovered variation near CPED1 that associated with PC2 (rs67991850, P = 2.5 × 10-11 ) and near RAB11FIP5 (rs58649746, P = 4.8 × 10-9 ) that associated with PC3. In conclusion, an established bone fragility genetic summary score was associated with a concordant skeletal phenotype, but not discordant skeletal phenotypes. Novel associations were observed for the discordant multi-dimensional skeletal phenotypes that provide new biological insights into the developing skeleton. This article is protected by copyright. All rights reserved.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Researcher 4 13%
Student > Bachelor 2 6%
Student > Master 2 6%
Student > Doctoral Student 1 3%
Other 2 6%
Unknown 15 48%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Sports and Recreations 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Social Sciences 2 6%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 15 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 May 2018.
All research outputs
#1,968,004
of 34,666,990 outputs
Outputs from Journal of Bone & Mineral Research
#490
of 5,795 outputs
Outputs of similar age
#33,246
of 493,316 outputs
Outputs of similar age from Journal of Bone & Mineral Research
#16
of 72 outputs
Altmetric has tracked 34,666,990 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 493,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.