Evidence map›Paper›PMID 21610748›Full record

ArticleEuropean journal of human genetics : EJHG2011

GWAS Integrator: a bioinformatics tool to explore human genetic associations reported in published genome-wide association studies.

Wei Yu, Ajay Yesupriya, Anja Wulf, Lucia A Hindorff, Nicole Dowling, Muin J Khoury, Marta Gwinn

Abstract readEvaluation Study
In one paragraph

Article in European journal of human genetics : EJHG, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Search Datasets in Literature: A Case Study of GWAS.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genetics of alcoholism.Current psychiatry reports · 2014
    Review
  14. Article
  15. Article
  16. How can polygenic inheritance be used in population screening for common diseases?Genetics in medicine : official journal of the American College of Medical Genetics · 2013
    Review
  17. Article
  18. Article
  19. Article
  20. Cytokine gene polymorphisms and human autoimmune disease in the era of genome-wide association studies.Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2012
    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

7 authors.

Wei YuOffice of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA. wby0@cdc.gov
Ajay Yesupriya
Anja Wulf
Lucia A Hindorff
Nicole Dowling
Muin J Khoury
Marta Gwinn

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have successfully identified numerous genetic loci that are associated with phenotypic traits and diseases. GWAS Integrator is a bioinformatics tool that integrates information on these associations from the National Human Genome Research institute (NHGRI) Catalog, SNAP (SNP Annotation and Proxy Search), and the Human Genome Epidemiology (HuGE) Navigator literature database. This tool includes robust search and data mining functionalities that can be used to quickly identify relevant associations from GWAS, as well as proxy single-nucleotide polymorphisms (SNPs) and potential candidate genes. Query-based University of California Santa Cruz (UCSC) Genome Browser custom tracks are generated dynamically on the basis of users' selected GWAS hits or candidate genes from HuGE Navigator literature database (http://www.hugenavigator.net/HuGENavigator/gWAHitStartPage.do). The GWAS Integrator may help enhance inference on potential genetic associations identified from GWAS studies.

Indexed as

Databases, GeneticGenome-Wide Association StudyComputational BiologyGenetic Predisposition to DiseaseGenome, HumanGenotypeHumansInternetPhenotypePolymorphism, Single NucleotideSoftware

Identifiers

PMID21610748
PMCPMC3190251

What OpenQuestion holds

Textmetadata
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.