Evidence map›Paper›PMID 25811989›Full record

ArticlePloS one2015

Gene-based association analysis identified novel genes associated with bone mineral density.

Xing-Bo Mo, Xin Lu, Yong-Hong Zhang, Zeng-Li Zhang, Fei-Yan Deng, Shu-Feng Lei

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  11. Genome-wide identification of mOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
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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

6 authors at 1 institution in 1 country.

Xing-Bo MoCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China; Department of Epidemiology, School of Public Health, Soochow University, Suzhou, Jiangsu, P. R. China.
Xin LuCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China.
Yong-Hong ZhangCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China; Department of Epidemiology, School of Public Health, Soochow University, Suzhou, Jiangsu, P. R. China.
Zeng-Li ZhangCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China.
Fei-Yan DengCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China.
Shu-Feng LeiCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China; Department of Epidemiology, School of Public Health, Soochow University, Suzhou, Jiangsu, P. R. China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic factors contribute to the variation of bone mineral density (BMD), which is a major risk factor of osteoporosis. The aim of this study was to identify more "novel" genes for BMD. Based on the publicly available SNP-based P values, we performed an initial gene-based analysis in a total of 32,961 individuals. Furthermore, we performed differential expression, pathway and protein-protein interaction analyses to find supplementary evidence to support the significance of the identified genes. About 21,695 genes for femoral neck (FN)-BMD and 21,683 genes for lumbar spine (LS)-BMD were analyzed using gene-based association analysis. A total of 35 FN-BMD associated genes and 53 LS-BMD associated genes were identified (P < 2.3×10(-6)) after Bonferroni correction. Among them, 64 genes have not been reported in previous SNP-based genome-wide association studies. Differential expression analysis further supported the significant associations of 14 genes with FN-BMD and 19 genes with LS-BMD. Especially, WNT3 and WNT9B in the Wnt signaling pathway for FN-BMD were further supported by pathway analysis and protein-protein interaction analysis. The present study took the advantage of gene-based association method to perform a supplementary analysis of the GWAS dataset and found some BMD-associated genes. The evidence taken together supported the importance of Wnt signaling pathway genes in determining osteoporosis. Our findings provided more insights into the genetic basis of osteoporosis.

Indexed as

Genetic Association StudiesGenome-Wide Association StudyBone DensityComputational BiologyDatabases, Nucleic AcidGene Expression ProfilingGene Expression RegulationGenetic Predisposition to DiseaseGenomicsHumansPolymorphism, Single NucleotideProtein Interaction MappingProtein Interaction MapsSignal Transduction

Identifiers

PMID25811989
PMCPMC4374695
OpenAlexW2031611890

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.