Evidence map›Paper›PMID 22929026›Full record

ArticleEuropean journal of human genetics : EJHG2013

WikiGWA: an open platform for collecting and using genome-wide association results.

Jie Huang, Eric Y Liu, Ryan Welch, Cristen Willer, Lucia A Hindorff, Yun Li

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Jie HuangDepartment of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
Eric Y Liu
Ryan Welch
Cristen Willer
Lucia A Hindorff
Yun Li

Funding

STATISTICAL METHODS IN CURRENT CANCER RESEARCHR01CA082659 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIN, DANYU · 2000 to 2016
$3.7M
Design and Analysis of Sequencing-based Studies for Complex Human TraitsR01HG006292 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, YUN · 2011 to 2015
$1.8M
Imputation and Analysis of Rare Variants in Admixed PopulationsR01HG006703 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, YUN · 2012 to 2014
$931k
Genetic Variants Associated with HDL and LDL Cholesterol, and Triglyceride LevelsR00HL094535 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILLER, CRISTEN J · 2011 to 2013
$724k
NCI NIH HHS 3-R01-CA082659-11S1NCI NIH HHS R01 CA082659NHGRI NIH HHS R01 HG006292NHGRI NIH HHS R01-HG006292NHGRI NIH HHS R01 HG006703NHGRI NIH HHS R01-HG006703-01NHLBI NIH HHS R00 HL094535
6 · The paper itself

Abstract

The number of discovered genetic variants from genome-wide association (GWA) studies (GWAS) has been growing rapidly. Centralized efforts such as the National Human Genome Research Institute's GWAS catalog provide regular updates and a convenient interface for quick lookup. However, the catalog entries are manually curated and rely on data from published articles. Other tools such as SNPedia (http://www.snpedia.com) collect published results regarding functional consequences of genetic variations. Here, we propose an approach that allows individual investigators to share their GWA results through an open platform. Unlike GWAS catalog or SNPedia, wikiGWA collects first-hand GWAS results and in a much larger scale. Investigators are not only able to post a much larger amount of results, but also post results from unpublished studies, which could alleviate publication bias and facilitate identification of weak signals. Our interface allows for flexible and fast queries, and the query results are formatted to work seamlessly with the LocusZoom program for visualization and annotation. We here describe wikiGWA, made publically available at http://www.wikiGWA.org.

Indexed as

Databases, GeneticGenome-Wide Association StudySoftwareGenome, HumanHumansInternet

Identifiers

PMID22929026
PMCPMC3598322

What OpenQuestion holds

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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.