Evidence map›Paper›PMID 19327864›Full record

ArticleComputer methods and programs in biomedicine2009

SNPit: a federated data integration system for the purpose of functional SNP annotation.

Terry H Shen, Christopher S Carlson, Peter Tarczy-Hornoch

Abstract readEvaluation Study
In one paragraph

Article in Computer methods and programs in biomedicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

3 authors.

Terry H ShenDepartment of Biomedical & Health Informatics, University of Washington, Seattle, WA 98195-7240, USA. hyshen@u.washington.edu
Christopher S Carlson
Peter Tarczy-Hornoch

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
GENESEEK: DATA INTEGRATION SYSTEM FOR GENETIC DATABASESR01HG002288 · NHGRI · UNIVERSITY OF WASHINGTON · PI TARCZY-HORNOCH, PETER · 2000 to 2005
$2.0M
NHGRI NIH HHS R01 HG002288NHGRI NIH HHS R01 HG02288NLM NIH HHS T15 LM007442NLM NIH HHS T15LM07442
6 · The paper itself

Abstract

Genome wide association studies can potentially identify the genetic causes behind the majority of human diseases. With the advent of more advanced genotyping techniques, there is now an explosion of data gathered on single nucleotide polymorphisms (SNPs). The need exists for an integrated system that can provide up-to-date functional annotation information on SNPs. We have developed the SNP Integration Tool (SNPit) system to address this need. Built upon a federated data integration system, SNPit provides current information on a comprehensive list of SNP data sources. Additional logical inference analysis was included through an inference engine plug in. The SNPit web servlet is available online for use. SNPit allows users to go to one source for up-to-date information on the functional annotation of SNPs. A tool that can help to integrate and analyze the potential functional significance of SNPs is important for understanding the results from genome wide association studies.

Indexed as

Database Management SystemsDatabases, GeneticInternetSoftwareChromosome MappingDNA Mutational AnalysisDocumentationInformation Storage and RetrievalPolymorphism, Single NucleotideSystems Integration

Identifiers

PMID19327864
PMCPMC2680224

What OpenQuestion holds

Textmetadata
LicenceTDM
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.