Evidence map›Paper›PMID 27467239›Full record

SynthesisPloS one2016

Meta-Analysis of Genome-Wide Association Studies and Network Analysis-Based Integration with Gene Expression Data Identify New Suggestive Loci and Unravel a Wnt-Centric Network Associated with Dupuytren's Disease.

Kerstin Becker, Sabine Siegert, Mohammad Reza Toliat, Juanjiangmeng Du, Ramona Casper, Guido H Dolmans, Paul M Werker, Sigrid Tinschert, Andre Franke, Christian Gieger and 5 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
3.6field-weighted citation impact, top 8% 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, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
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

15 authors at 7 institutions in 4 countries.

Kerstin BeckerCologne Center for Genomics, University of Cologne, Cologne, Germany.
Sabine SiegertCologne Center for Genomics, University of Cologne, Cologne, Germany.
Mohammad Reza ToliatCologne Center for Genomics, University of Cologne, Cologne, Germany.
Juanjiangmeng DuCologne Center for Genomics, University of Cologne, Cologne, Germany.
Ramona CasperCologne Center for Genomics, University of Cologne, Cologne, Germany.
Guido H DolmansUniversity of Groningen and University Medical Center Groningen, Dept. of Plastic Surgery, Groningen, the Netherlands.
Paul M WerkerUniversity of Groningen and University Medical Center Groningen, Dept. of Plastic Surgery, Groningen, the Netherlands.
Sigrid TinschertDiv. of Human Genetics and Dept. of Dermatology, Medical University of Innsbruck, Innsbruck, Austria.
Andre FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, University Hospital Schleswig-Holstein, Kiel, Germany.
Christian GiegerResearch Unit Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
Konstantin StrauchInstitute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
Michael NothnagelCologne Center for Genomics, University of Cologne, Cologne, Germany.
Peter NürnbergCologne Center for Genomics, University of Cologne, Cologne, Germany.
Hans Christian HenniesCologne Center for Genomics, University of Cologne, Cologne, Germany.
German Dupuytren Study Group
University of Cologne · DEUniversität Innsbruck · ATUniversity Medical Center Groningen · NLChristian-Albrechts-Universität zu Kiel · DECologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases · DEHeinrich Heine University Düsseldorf · DEHelmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dupuytren´s disease, a fibromatosis of the connective tissue in the palm, is a common complex disease with a strong genetic component. Up to date nine genetic loci have been found to be associated with the disease. Six of these loci contain genes that code for Wnt signalling proteins. In spite of this striking first insight into the genetic factors in Dupuytren´s disease, much of the inherited risk in Dupuytren´s disease still needs to be discovered. The already identified loci jointly explain ~1% of the heritability in this disease. To further elucidate the genetic basis of Dupuytren´s disease, we performed a genome-wide meta-analysis combining three genome-wide association study (GWAS) data sets, comprising 1,580 cases and 4,480 controls. We corroborated all nine previously identified loci, six of these with genome-wide significance (p-value < 5x10-8). In addition, we identified 14 new suggestive loci (p-value < 10-5). Intriguingly, several of these new loci contain genes associated with Wnt signalling and therefore represent excellent candidates for replication. Next, we compared whole-transcriptome data between patient- and control-derived tissue samples and found the Wnt/β-catenin pathway to be the top deregulated pathway in patient samples. We then conducted network and pathway analyses in order to identify protein networks that are enriched for genes highlighted in the GWAS meta-analysis and expression data sets. We found further evidence that the Wnt signalling pathways in conjunction with other pathways may play a critical role in Dupuytren´s disease.

Indexed as

Gene ExpressionGenome-Wide Association StudyDupuytren ContractureGenetic Predisposition to DiseaseHumansPolymorphism, Single Nucleotide

Identifiers

PMID27467239
PMCPMC4965170
OpenAlexW2504087227

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.