Evidence mapPaperPMID 29240982Full record

Trial reportJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2018

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

Jonathan A Mitchell, Alessandra Chesi, Diana L Cousminer, Shana E McCormack, Heidi J Kalkwarf, Joan M Lappe, Vicente Gilsanz, Sharon E Oberfield, John A Shepherd, Andrea Kelly and 2 more

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Revealing chronic disease progression patterns using Gaussian process for stage inference.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  2. Review
  3. Article
  4. Article
  5. Genome-Wide Association Analysis of Longitudinal Bone Mineral Content Data From the Iowa Bone Development Study.Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
    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

12 authors at 8 institutions in 1 country.

Jonathan A MitchellDivision of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Alessandra ChesiDivision of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Diana L CousminerDivision of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Shana E McCormackDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Heidi J KalkwarfDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Joan M LappeDivision of Endocrinology, Department of Medicine, Creighton University, Omaha, NE, USA.
Vicente GilsanzDepartment of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Sharon E OberfieldDivision of Pediatric Endocrinology, Diabetes, and Metabolism, Department of Pediatrics, Columbia University Medical Center, New York, NY, USA.
John A ShepherdDepartment of Radiology, University of California San Francisco, San Francisco, CA, USA.
Andrea KellyDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Babette S ZemelDivision of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Struan Fa GrantDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USPhiladelphia College of Osteopathic Medicine · USChildren's Hospital of Los Angeles · USChildren's Hospital of Philadelphia · USCincinnati Children's Hospital Medical Center · USColumbia University Irving Medical Center · USUniversity of California, San Francisco · USWright State University · US

Funding

Institutional Clinical and Translational Science AwardUL1TR001878 · UNIVERSITY OF PENNSYLVANIA · 2025 to 2025
$10.2M
BONE MINERAL DENSITY IN CHILDHOOD STUDY-CLINICAL CENTER-275013329N01HD013329 · CHILDREN'S HOSP. MED CTR · 2002 to 2004
BONE MINERAL DENSITY IN CHILDHOOD STUDY--CLINICAL CENTER-275013330N01HD013330 · CREIGHTON UNIVERSITY · 2002 to 2003
BONE MINERAL DENSITY IN CHILDHOOD STUDY-275013328N01HD013328 · CLINICAL TRIALS &SURVEYS CORP · 2002 to 2004
BONE MINERAL DENSITY IN CHILDHOOD STUDY-CLINICAL CENTER-275013332N01HD013332 · COLUMBIA UNIV. NEW YORK · 2002 to 2004
BONE MINERAL DENSITY IN CHILDHOOD STUDY--CLINICAL CENTER-275013333N01HD013333 · CHILDRENS HOSPITAL LOS ANGELES · 2002 to 2003
BONE MINERAL DENSITY IN CHILDHOOD STUDY--CLINICAL CENTER-275013331N01HD013331 · CHILDREN'S HOSP. PHILADELPHIA · 2002 to 2003
NCATS NIH HHS UL1 TR000077NCATS NIH HHS UL1 TR001878NHLBI NIH HHS K01 HL123612NICHD NIH HHS N01 HD013328NICHD NIH HHS N01 HD013329NICHD NIH HHS N01 HD013330NICHD NIH HHS N01 HD013331NICHD NIH HHS N01 HD013332NICHD NIH HHS N01 HD013333NICHD NIH HHS R01 HD058886NIDDK NIH HHS K12 DK094723
6 · The paper itself

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 multidimensional phenotyping approach to further understand the genetic regulation of pediatric aBMD. Our sample comprised a prospective, longitudinal cohort of 1293 children of European ancestry (52% female; up to seven 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 multidimensional aBMD phenotypes (ie, 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 genomewide association study (GWAS) using the multiethnic baseline data (n = 1885) to identify novel loci associated with these principal components. The first component (PC1) reflected a concordant phenotypic model of the skeleton (eg, 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

Indexed as

Genome-Wide Association StudyPhenotypeAbsorptiometry, PhotonAdolescentBone DensityChildFemaleFollow-Up StudiesGenotyping TechniquesHumansMaleRadiusSpineWhite PeopleBONE MINERAL DENSITYCHILDRENGENETICGWAS

Identifiers

PMID29240982
PMCPMC7473448
OpenAlexW2775348866

What Socratic 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 Socratic graph.