Evidence map›Paper›PMID 20501604›Full record

ArticleNucleic acids research2010

GSA-SNP: a general approach for gene set analysis of polymorphisms.

Dougu Nam, Jin Kim, Seon-Young Kim, Sangsoo Kim

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 7 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

92 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Human genome-guided identification of memory-modulating drugs.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Trial
  10. A review of post-GWAS studies in schizophrenia.Translational psychiatry · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Regional imaging genetic enrichment analysis.Bioinformatics (Oxford, England) · 2020
    Article
  16. Review
  17. Article
  18. Article
  19. Brain Imaging Genomics: Integrated Analysis and Machine Learning.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2020
    Article
  20. Article

32 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

4 authors.

Dougu NamSchool of Nano-Biotech and Chemical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 689-798, Seoul, Korea.
Jin Kim
Seon-Young Kim
Sangsoo Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association (GWA) study aims to identify the genetic factors associated with the traits of interest. However, the power of GWA analysis has been seriously limited by the enormous number of markers tested. Recently, the gene set analysis (GSA) methods were introduced to GWA studies to address the association of gene sets that share common biological functions. GSA considerably increased the power of association analysis and successfully identified coordinated association patterns of gene sets. There have been several approaches in this direction with some limitations. Here, we present a general approach for GSA in GWA analysis and a stand-alone software GSA-SNP that implements three widely used GSA methods. GSA-SNP provides a fast computation and an easy-to-use interface. The software and test datasets are freely available at http://gsa.muldas.org. We provide an exemplary analysis on adult heights in a Korean population.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideSoftwareAdultBody HeightHumansInternetUser-Computer Interface

Identifiers

PMID20501604
PMCPMC2896081

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.