Evidence map›Paper›PMID 19714249›Full record

ArticlePloS one2009

Powerful bivariate genome-wide association analyses suggest the SOX6 gene influencing both obesity and osteoporosis phenotypes in males.

Yao-Zhong Liu, Yu-Fang Pei, Jian-Feng Liu, Fang Yang, Yan Guo, Lei Zhang, Xiao-Gang Liu, Han Yan, Liang Wang, Yin-Ping Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 6 pooled it
7.1field-weighted citation impact, top 3% 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

58 citing papers in PubMed, 6 syntheses or guidelines pooled it, 104 citations in OpenAlex.

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  9. The Role of SOX Transcription Factors in Ageing and Age-Related Diseases.International journal of molecular sciences · 2023
    Review
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  16. Pleiotropic loci underlying bone mineral density and bone size identified by a bivariate genome-wide association analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
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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

13 authors at 5 institutions in 2 countries.

Yao-Zhong LiuSchool of Medicine, University of Missouri - Kansas City, Kansas City, Missouri, United States of America.
Yu-Fang Pei
Jian-Feng Liu
Fang Yang
Yan Guo
Lei Zhang
Xiao-Gang Liu
Han Yan
Liang Wang
Yin-Ping Zhang
Shawn Levy
Robert R Recker
Hong-Wen Deng
University of Missouri–Kansas City · USXi'an Jiaotong University · CNCreighton University · USUniversity of Shanghai for Science and Technology · CNVanderbilt University · 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
Genomic search for bone mass QTLsR01AG026564 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2007 to 2010
$2.3M
Proteomics Study of Peripheral Blood Monocytes on OsteroporsisR21AG027110 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2006 to 2007
$367k
NIAMS NIH HHS P50 AR055081NIAMS NIH HHS R01 AR050496NIAMS NIH HHS R01 AR050496-01NIA NIH HHS R01 AG026564NIA NIH HHS R21 AG027110
6 · The paper itself

Abstract

backgroundCurrent genome-wide association studies (GWAS) are normally implemented in a univariate framework and analyze different phenotypes in isolation. This univariate approach ignores the potential genetic correlation between important disease traits. Hence this approach is difficult to detect pleiotropic genes, which may exist for obesity and osteoporosis, two common diseases of major public health importance that are closely correlated genetically. PRINCIPAL

findingsTo identify such pleiotropic genes and the key mechanistic links between the two diseases, we here performed the first bivariate GWAS of obesity and osteoporosis. We searched for genes underlying co-variation of the obesity phenotype, body mass index (BMI), with the osteoporosis risk phenotype, hip bone mineral density (BMD), scanning approximately 380,000 SNPs in 1,000 unrelated homogeneous Caucasians, including 499 males and 501 females. We identified in the male subjects two SNPs in intron 1 of the SOX6 (SRY-box 6) gene, rs297325 and rs4756846, which were bivariately associated with both BMI and hip BMD, achieving p values of 6.82x10(-7) and 1.47x10(-6), respectively. The two SNPs ranked at the top in significance for bivariate association with BMI and hip BMD in the male subjects among all the approximately 380,000 SNPs examined genome-wide. The two SNPs were replicated in a Framingham Heart Study (FHS) cohort containing 3,355 Caucasians (1,370 males and 1,985 females) from 975 families. In the FHS male subjects, the two SNPs achieved p values of 0.03 and 0.02, respectively, for bivariate association with BMI and femoral neck BMD. Interestingly, SOX6 was previously found to be essential to both cartilage formation/chondrogenesis and obesity-related insulin resistance, suggesting the gene's dual role in both bone and fat.

conclusionsOur findings, together with the prior biological evidence, suggest the SOX6 gene's importance in co-regulation of obesity and osteoporosis.

Indexed as

Genome-Wide Association StudyAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedObesityOsteoporosisPhenotypePolymorphism, Single NucleotideSOXD Transcription FactorsSOX6 protein, humanSOXD Transcription Factors

Identifiers

PMID19714249
PMCPMC2730014
OpenAlexW2073839243

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.