Evidence map›Paper›PMID 20969983›Full record

ArticleBone2011

Linkage mapping of principal components for femoral biomechanical performance in a reciprocal HCB-8 × HCB-23 intercross.

Neema Saless, Suzanne J Litscher, Ray Vanderby, Peter Demant, Robert D Blank

Open access · greenAbstract read
In one paragraph

Article in Bone, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. The -839(A/C) Polymorphism in theJournal of the Endocrine Society · 2019
    Article
  2. Endothelin Signaling in Bone.Endocrinology and metabolism clinics of North America · 2017
    Review
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Review
  9. Article
  10. Genome-wide association of an integrated osteoporosis-related phenotype: is there evidence for pleiotropic genes?Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2012
    Article
  11. Article
  12. 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

5 authors at 3 institutions in 1 country.

Neema SalessCellular and Molecular Biology Program, University of Wisconsin, Madison, WI, USA.
Suzanne J Litscher
Ray Vanderby
Peter Demant
Robert D Blank
University of Wisconsin–Madison · USGeriatric Research Education and Clinical Center · USRoswell Park Comprehensive Cancer Center · US

Funding

Congenic Mouse Strains Harboring Bone Strength Quantitative Trait LociR01AR054753 · NIAMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLANK, ROBERT DANIEL · 2009 to 2013
$1.6M
NIAMS NIH HHS AR-54753NIAMS NIH HHS R01 AR054753
6 · The paper itself

Abstract

Studies of bone genetics have addressed an array of related phenotypes, including various measures of biomechanical performance, bone size, bone, shape, and bone mineral density. These phenotypes are not independent, resulting in redundancy of the information they provide. Principal component (PC) analysis transforms multiple phenotype data to a new set of orthogonal "synthetic" phenotypes. We performed PC analysis on 17 femoral biomechanical, anatomic, and body size phenotypes in a reciprocal intercross of HcB-8 and HcB-23, accounting for 80% of the variance in 4 PCs. Three of the 4 PCs were mapped in the cross. The linkage analysis revealed a quantitative trait locus (QTL) with LOD = 4.7 for PC2 at 16 cM on chromosome 19 that was not detected using the directly measured phenotypes. The chromosome 19 QTL falls within a ~10 megabase interval, with Osf1 as a positional candidate gene. PC QTLs were also found on chromosomes 1, 2, 4, 6, and 10 that coincided with those identified for directly measured or calculated material property phenotypes. The novel chromosome 19 QTL illustrates the power advantage that attends use of PC phenotypes for linkage mapping. Constraint of the chromosome 19 candidate interval illustrates an important advantage of experimental crosses between recombinant congenic mouse strains.

Indexed as

Chromosome MappingCrosses, GeneticGenetic LinkagePrincipal Component AnalysisAnimalsBiomechanical PhenomenaFemaleFemurMaleMicePhenotypeQuantitative Trait Loci

Identifiers

PMID20969983
PMCPMC3073517
OpenAlexW2161330161

What OpenQuestion 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 OpenQuestion graph.