Evidence map›Paper›PMID 22541597›Full record

ArticleJournal of biomedical semantics2012

Linking genes to diseases with a SNPedia-Gene Wiki mashup.

Benjamin M Good, Erik L Clarke, Salvatore Loguercio, Andrew I Su

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Wikidata as a semantic framework for the Gene Wiki initiative.Database : the journal of biological databases and curation · 2016
    Article
  2. Article
  3. Article
  4. Building a biomedical semantic network in Wikipedia with Semantic Wiki Links.Database : the journal of biological databases and curation · 2012
    Article
  5. 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

4 authors.

Benjamin M GoodThe Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA. asu@scripps.edu.
Erik L Clarke
Salvatore Loguercio
Andrew I Su

Funding

The Gene Wiki: Community intelligence applied to gene annotationR01GM089820 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI SU, ANDREW I · 2010 to 2021
$5.2M
6 · The paper itself

Abstract

backgroundA variety of topic-focused wikis are used in the biomedical sciences to enable the mass-collaborative synthesis and distribution of diverse bodies of knowledge. To address complex problems such as defining the relationships between genes and disease, it is important to bring the knowledge from many different domains together. Here we show how advances in wiki technology and natural language processing can be used to automatically assemble 'meta-wikis' that present integrated views over the data collaboratively created in multiple source wikis.

resultsWe produced a semantic meta-wiki called the Gene Wiki+ that automatically mirrors and integrates data from the Gene Wiki and SNPedia. The Gene Wiki+, available at (http://genewikiplus.org/), captures 8,047 distinct gene-disease relationships. SNPedia accounts for 4,149 of the gene-disease pairs, the Gene Wiki provides 4,377 and only 479 appear independently in both sources. All of this content is available to query and browse and is provided as linked open data.

conclusionsWikis contain increasing amounts of diverse, biological information useful for elucidating the connections between genes and disease. The Gene Wiki+ shows how wiki technology can be used in concert with natural language processing to provide integrated views over diverse underlying data sources.

Identifiers

PMID22541597
PMCPMC3337266

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.