Evidence map›Paper›PMID 24301061›Full record

ArticleEuropean journal of human genetics : EJHG2014

GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies.

Tim Beck, Robert K Hastings, Sirisha Gollapudi, Robert C Free, Anthony J Brookes

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

96 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  12. [Rare-disease data standards].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022
    Review
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  14. Article
  15. Evaluating statistical significance in aComputational and structural biotechnology journal · 2022
    Article
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  18. Review
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  20. Article

36 more citing papers are in PubMed but not listed here.

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

5 authors.

Tim BeckDepartment of Genetics, University of Leicester, Leicester, UK.
Robert K HastingsDepartment of Genetics, University of Leicester, Leicester, UK.
Sirisha GollapudiDepartment of Genetics, University of Leicester, Leicester, UK.
Robert C FreeDepartment of Genetics, University of Leicester, Leicester, UK.
Anthony J BrookesDepartment of Genetics, University of Leicester, Leicester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To facilitate broad and convenient integrative visualization of and access to GWAS data, we have created the GWAS Central resource (http://www.gwascentral.org). This database seeks to provide a comprehensive collection of summary-level genetic association data, structured both for maximal utility and for safe open access (i.e., non-directional signals to fully preclude research subject identification). The resource emphasizes on advanced tools that allow comparison and discovery of relevant data sets from the perspective of genes, genome regions, phenotypes or traits. Tested markers and relevant genomic features can be visually interrogated across up to 16 multiple association data sets in a single view, starting at a chromosome-wide view and increasing in resolution down to individual bases. In addition, users can privately upload and view their own data as temporary files. Search and display utility is further enhanced by exploiting phenotype ontology annotations to allow genetic variants associated with phenotypes and traits of interest to be precisely identified, across all studies. Data submissions are accepted from individual researchers, groups and consortia, whereas we also actively gather data sets from various public sources. As a result, the resource now provides over 67 million P-values for over 1600 studies, making it the world's largest openly accessible online collection of summary-level GWAS association information.

Indexed as

Databases, GeneticGenome, HumanGenome-Wide Association StudyInternetQuantitative Trait, HeritableFemaleHumansMale

Identifiers

PMID24301061
PMCPMC4060122

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.