Evidence map›Paper›PMID 22087292›Full record

ArticlePloS one2011

Bivariate genome-wide association analyses of femoral neck bone geometry and appendicular lean mass.

Lu Sun, Li-Jun Tan, Shu-Feng Lei, Xiang-Ding Chen, Xi Li, Rong Pan, Fang Yin, Quan-Wei Liu, Xiao-Feng Yan, Christopher J Papasian and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
1.7field-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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Genetics of Bone and Muscle Interactions in Humans.Current osteoporosis reports · 2019
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  7. Article
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  9. Article
  10. Review
  11. Endocrine crosstalk between muscle and bone.Current osteoporosis reports · 2014
    Review
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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

11 authors at 4 institutions in 2 countries.

Lu SunLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, China.
Li-Jun Tan
Shu-Feng Lei
Xiang-Ding Chen
Xi Li
Rong Pan
Fang Yin
Quan-Wei Liu
Xiao-Feng Yan
Christopher J Papasian
Hong-Wen Deng
Hunan Normal University · CNShanghai University · CNTulane University · 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
ROBUST AND POWERFUL TEST OF CANDIDATE GENES TO BONE MASSR01AR050496 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2004 to 2013
$3.8M
Identification of Proteins Important for Male OsteoporosisR01AR057049 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2009 to 2013
$2.4M
Genomic search for bone mass QTLsR01AG026564 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2007 to 2010
$2.3M
Genome-wide association study of periodontitisRC2DE020756 · NIDCR · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN, GENCO, ROBERT J · 2009 to 2009
$173k
Genetics of Osteoporotic Fractures in ChineseR03TW008221 · FIC · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2009 to 2011
$171k
CIHR 30811120436FIC NIH HHS R03 TW008221FIC NIH HHS R03TW008221NIAMS NIH HHS P50 AR055081NIAMS NIH HHS P50AR055081NIAMS NIH HHS R01 AR050496NIAMS NIH HHS R01AR050496NIAMS NIH HHS R01 AR057049NIAMS NIH HHS R01AR057049NIA NIH HHS R01 AG026564NIA NIH HHS R01AG026564NIDCR NIH HHS RC2 DE020756NIDCR NIH HHS RC2DE020756
6 · The paper itself

Abstract

objectiveFemoral neck geometric parameters (FNGPs), such as periosteal diameter (W), cross-sectional area (CSA), cortical thickness (CT), buckling ratio (BR), and section modulus (Z), are highly genetically correlated with body lean mass. However, the specific SNPs/genes shared by these phenotypes are largely unknown.

methodsTo identify the specific SNPs/genes shared between FNGPs and appendicular lean mass (ALM), we performed an initial bivariate genome-wide association study (GWAS) by scanning ∼690,000 SNPs in 1,627 unrelated Han Chinese adults (802 males and 825 females) and a follow-up replicate study in 2,286 unrelated US Caucasians.

resultsWe identified 13 interesting SNPs that may be important for both FNGPs and ALM. Two SNPs, rs681900 located in the HK2 (hexokinase 2) gene and rs11859916 in the UMOD (uromodulin) gene, were bivariately associated with FNGPs and ALM (p = 7.58×10(-6) for ALM-BR and p = 2.93×10(-6) for ALM-W, respectively). The associations were then replicated in Caucasians, with corresponding p values of 0.024 for rs681900 and 0.047 for rs11859916. Meta-analyses yielded combined p values of 3.05×10(-6) and 2.31×10(-6) for rs681900 and rs11859916, respectively. Our findings are consistent with previous biological studies that implicated HK2 and UMOD in both FNGPs and ALM. Our study also identified a group of 11 contiguous SNPs, which spanned a region of ∼130 kb, were bivariately associated with FNGPs and ALM, with p values ranging from 3.06×10(-7) to 4.60×10(-6) for ALM-BR. The region contained two neighboring miRNA coding genes, MIR873 (MicroRNA873) and MIR876 (MicroRNA876).

conclusionOur study implicated HK2, UMOD, MIR873 and MIR876, as pleiotropic genes underlying variation of both FNGPs and ALM, thus suggesting their important functional roles in co-regulating both FNGPs and ALM.

Indexed as

Polymorphism, Single NucleotideAsian PeopleBody CompositionBody Mass IndexBone and BonesFemaleFemur NeckGenome-Wide Association StudyHumansMale

Identifiers

PMID22087292
PMCPMC3210160
OpenAlexW2046718661

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.