Evidence map›Paper›PMID 17967140›Full record

ArticleJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2008

Bivariate whole genome linkage analyses for total body lean mass and BMD.

Xiang-Li Wang, Fei-Yan Deng, Li-Jun Tan, Hong-Yi Deng, Yao-Zhong Liu, Christopher J Papasian, Robert R Recker, Hong-Wen Deng

Open access · bronzeAbstract read
In one paragraph

Article in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

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  8. An investigation into the relationship between soft tissue body composition and bone mineral density in a young adult twin sample.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2011
    Article
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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

8 authors at 3 institutions in 2 countries.

Xiang-Li WangLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China.
Fei-Yan Deng
Li-Jun Tan
Hong-Yi Deng
Yao-Zhong Liu
Christopher J Papasian
Robert R Recker
Hong-Wen Deng
Hunan Normal University · CNCHI Health Creighton University Medical Center - Bergan Mercy · USUniversity of Missouri–Kansas City · US

Funding

Proteome-wide Expression Study of Osteogenic CellsP50AR055081 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2007 to 2012
$5.0M
MAMMALIAN GENOTYPING SERVICEN01HV048141 · HV · MARSHFIELD CLINIC RESEARCH FOUNDATION · PI WEBER, JAMES L. · 1994 to 2000
$3.1M
Genomic search for bone mass QTLsR01AG026564 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2007 to 2010
$2.3M
CHARACTERIZATION OF DELETERIOUS GENOMIC MUTATIONSR01GM060402 · NIGMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2000 to 2005
$889k
Genetic Basis of Osteoporotic Fractures and Bone MassK01AR002170 · NIAMS · CREIGHTON UNIVERSITY · PI DENG, HONG-WEN · 2001 to 2005
$505k
Proteomics Study of Peripheral Blood Monocytes on OsteroporsisR21AG027110 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2006 to 2007
$367k
GENETIC LINKAGE TO LOW PEAK BONE MASSR01AR045349 · NIAMS · CREIGHTON UNIVERSITY · PI RECKER, ROBERT R. · 1997 to 2000
$188k
NHLBI NIH HHS HV48141NHLBI NIH HHS N01 HV048141NIAMS NIH HHS K01 AR002170NIAMS NIH HHS K01 AR02170-01NIAMS NIH HHS P50 AR055081NIAMS NIH HHS R01 AR45349-01NIA NIH HHS R01 AG026564NIA NIH HHS R01 AG 026564-01A2NIA NIH HHS R21 AG027110NIA NIH HHS R21 AG 027110-01A1NIGMS NIH HHS R01 GM060402NIGMS NIH HHS R01 GM60402-01A1
6 · The paper itself

Abstract

unlabelledA genome-wide bivariate analysis was conducted for TBLM and BMD at the spine and hip in a large white sample. We found some QTLs shared by TBLM and BMD in the entire sample and the sex-specific subgroups, and QTLs with potential pleiotropy were disclosed.

introductionPrevious studies suggested that total body lean mass (TBLM) and BMD are highly genetically correlated. However, the specific shared genetic factors between TBLM and BMD are unknown. MATERIALS AND

methodsTo identify the specific quantitative trait loci (QTLs) shared by TBLM and BMD at the spine (L1-L4) and total hip, we performed bivariate whole genome linkage analysis (WGLA) in a large sample involving 4498 white subjects of European origin.

resultsMultipoint bivariate linkage analyses for 22 autosomes showed evidence of significant linkage with an LOD score of 4.86 at chromosome region 15q13 for TBLM and spine BMD in women, and suggestive linkage findings (LOD > 2.2) at 7p22 for TBLM and spine BMD for the entire sample, at 7q32 for TBLM and BMD at both spine and hip in women, and at 7q21 and 13p11 for TBLM and BMD at both spine and hip in men. Two-point linkage analyses for chromosome X also showed significant linkage signals at several regions such as Xq25. Complete pleiotropy (a single locus influencing both traits) was suggested at 7q32 and 13q11 for TBLM and BMD. Additionally, complete co-incident linkage (separate tightly clustered loci each influencing a single trait) was detected at 7p22 for TBLM and spine BMD.

conclusionsWe identified several genomic regions shared by TBLM and BMD in whites. Further studies may focus on fine mapping and identification of the specific QTLs in these candidate genomic regions.

Indexed as

Body Mass IndexLod ScoreAdultAgedBone DensityChromosome MappingChromosomes, HumanFemaleGenome, HumanHipHumansLumbar VertebraeMaleMiddle AgedQuantitative Trait, HeritableQuantitative Trait Loci

Identifiers

PMID17967140
PMCPMC2669157
OpenAlexW1981286040

What OpenQuestion holds

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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.