Evidence map›Paper›PMID 22237995›Full record

ArticleThe journal of nutrition, health & aging2012

Genome-wide linkage scan for quantitative trait loci underlying normal variation in heel bone ultrasound measures.

M Lee, A C Choh, K D Williams, V Schroeder, T D Dyer, J Blangero, S A Cole, Wm C Chumlea, D L Duren, R J Sherwood and 3 more

Open access · greenAbstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Observational
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

13 authors at 3 institutions in 1 country.

M LeeLifespan Health Research Center, Wright State University, Boonshoft School of Medicine, Dayton, OH 45420, USA. miryoung.lee@wright.edu
A C Choh
K D Williams
V Schroeder
T D Dyer
J Blangero
S A Cole
Wm C Chumlea
D L Duren
R J Sherwood
R M Siervogel
B Towne
S A Czerwinski
Wright State University · USTexas Biomedical Research Institute · USTemple University · US

Funding

SUBCUTANEOUS FAT, BLOOD LIPIDS AND SUBSEQUENT OUTCOMER01HD012252 · NICHD · WRIGHT STATE UNIVERSITY · PI CZERWINSKI, STEFAN A. · 1985 to 2014
$17.3M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
Genetic Analysis of Osteoporosis Risk FactorsR01AR052147 · NIAMS · WRIGHT STATE UNIVERSITY · PI CZERWINSKI, STEFAN A. · 2005 to 2009
$2.2M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
MOLECULAR AND BIOCHEMICAL GENETICS LABORATORY RENOVATIONC06RR013556 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 1998 to 1998
–
NCRR NIH HHS C06 RR013556NIAMS NIH HHS AR52147NIAMS NIH HHS R01 AR052147NICHD NIH HHS HD12252NICHD NIH HHS R01 HD012252NIMH NIH HHS R01 MH059490NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

Quantitative ultrasound (QUS) traits are correlated with bone mineral density (BMD), but predict risk for future fracture independent of BMD. Only a few studies, however, have sought to identify specific genes influencing calcaneal QUS measures. The aim of this study was to conduct a genome-wide linkage scan to identify quantitative trait loci (QTL) influencing normal variation in QUS traits. QUS measures were collected from a total of 719 individuals (336 males and 383 females) from the Fels Longitudinal Study who have been genotyped and have at least one set of QUS measurements. Participants ranged in age from 18.0 to 96.6 years and were distributed across 110 nuclear and extended families. Using the Sahara ® bone sonometer, broadband ultrasound attenuation (BUA), speed of sound (SOS) and stiffness index (QUI) were collected from the right heel. Variance components based linkage analysis was performed on the three traits using 400 polymorphic short tandem repeat (STR) markers spaced approximately 10 cM apart across the autosomes to identify QTL influencing the QUS traits. Age, sex, and other significant covariates were simultaneously adjusted. Heritability estimates (h²) for the QUS traits ranged from 0.42 to 0.57. Significant evidence for a QTL influencing BUA was found on chromosome 11p15 near marker D11S902 (LOD = 3.11). Our results provide additional evidence for a QTL on chromosome 11p that harbors a potential candidate gene(s) related to BUA and bone metabolism.

Indexed as

Chromosomes, Human, Pair 11Genetic LinkageGenetic VariationQuantitative Trait LociAdolescentAdultBone DensityCalcaneusFamilyFemaleGenetic MarkersGenomeGenotypeHumansLongitudinal StudiesMaleGenetic Markers

Identifiers

PMID22237995
PMCPMC3928037
OpenAlexW2068792734

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Registered trials

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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.