Evidence map›Paper›PMID 24626161›Full record

ArticlePloS one2014

Genome-wide association study identified copy number variants important for appendicular lean mass.

Shu Ran, Yong-Jun Liu, Lei Zhang, Yufang Pei, Tie-Lin Yang, Rong Hai, Ying-Ying Han, Yong Lin, Qing Tian, Hong-Wen Deng

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

10 authors at 4 institutions in 2 countries.

Shu RanCenter of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
Yong-Jun LiuDepartment of Biostatistics and Bioinformatics, Tulane University, New Orleans, Louisiana, United States of America.
Lei ZhangCenter of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
Yufang PeiCenter of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
Tie-Lin YangKey Laboratory of Biomedical Information Engineering of the Ministry of Education, Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Rong HaiGeriatrics Health Clinic of Inner Mongolia People's Hospital, Inner Mongolia, People's Republic of China.
Ying-Ying HanCenter of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
Yong LinCenter of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
Qing TianDepartment of Biostatistics and Bioinformatics, Tulane University, New Orleans, Louisiana, United States of America.
Hong-Wen DengCenter of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai, People's Republic of China; Department of Biostatistics and Bioinformatics, Tulane University, New Orleans, Louisiana, United States of America.
University of Shanghai for Science and Technology · CNTulane University · USInner Mongolia People's Hospital · CNXi'an Jiaotong University · CN

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
Epigenomewide DNA Methylation Study for Osteoporosis RiskR01AR059781 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2012 to 2016
$3.1M
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
FIC 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 R01AR057049NIAMS NIH HHS R01 AR059781NIA NIH HHS R01 AG026564NIA NIH HHS R01AG026564NIDCR NIH HHS RC2 DE020756NIDCR NIH HHS RC2DE020756
6 · The paper itself

Abstract

Skeletal muscle is a major component of the human body. Age-related loss of muscle mass and function contributes to some public health problems such as sarcopenia and osteoporosis. Skeletal muscle, mainly composed of appendicular lean mass (ALM), is a heritable trait. Copy number variation (CNV) is a common type of human genome variant which may play an important role in the etiology of many human diseases. In this study, we performed genome-wide association analyses of CNV for ALM in 2,286 Caucasian subjects. We then replicated the major findings in 1,627 Chinese subjects. Two CNVs, CNV1191 and CNV2580, were detected to be associated with ALM (p = 2.26×10(-2) and 3.34×10(-3), respectively). In the Chinese replication sample, the two CNVs achieved p-values of 3.26×10(-2) and 0.107, respectively. CNV1191 covers a gene, GTPase of the immunity-associated protein family (GIMAP1), which is important for skeletal muscle cell survival/death in humans. CNV2580 is located in the Serine hydrolase-like protein (SERHL) gene, which plays an important role in normal peroxisome function and skeletal muscle growth in response to mechanical stimuli. In summary, our study suggested two novel CNVs and the related genes that may contribute to variation in ALM.

Indexed as

Body Mass IndexDNA Copy Number VariationsGenome-Wide Association StudyAdultAgedAsian PeopleChinaFemaleGene DosageGenetic VariationGenotypeGTP-Binding ProteinsGTP PhosphohydrolasesHumansMaleMembrane ProteinsGIMAP1 protein, humanGTP-Binding ProteinsGTP PhosphohydrolasesMembrane Proteins

Identifiers

PMID24626161
PMCPMC3953533
OpenAlexW2012187735

What OpenQuestion holds

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LicenceCC BY
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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.