Evidence map›Paper›PMID 19964203›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2009

Entity/quality-based logical definitions for the human skeletal phenome using PATO.

Georgios V Gkoutos, Chris Mungall, Sandra Dolken, Michael Ashburner, Suzanna Lewis, John Hancock, Paul Schofield, Sebastian Kohler, Peter N Robinson

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
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  11. An information model for computable cancer phenotypes.BMC medical informatics and decision making · 2016
    Article
  12. The digital revolution in phenotyping.Briefings in bioinformatics · 2016
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Capturing phenotypes for precision medicine.Cold Spring Harbor molecular case studies · 2015
    Article
  19. Article
  20. PhenoMiner: from text to a database of phenotypes associated with OMIM diseases.Database : the journal of biological databases and curation · 2015
    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

9 authors.

Georgios V GkoutosDepartment of Genetics, University of Cambridge, Downing Street, Cambridge, CB2 3EH, England. gg295@gen.cam.ac.uk
Chris Mungall
Sandra Dolken
Michael Ashburner
Suzanna Lewis
John Hancock
Paul Schofield
Sebastian Kohler
Peter N Robinson

Funding

An Ontology of Qualities for the Annotation of Biomedical DataR01HG004838 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI LEWIS, SUZANNA E · 2009 to 2012
$1.9M
NHGRI NIH HHS R01 HG004838
6 · The paper itself

Abstract

This paper describes an approach to providing computer-interpretable logical definitions for the terms of the Human Phenotype Ontology (HPO) using PATO, the ontology of phenotypic qualities, to link terms of the HPO to the anatomic and other entities that are affected by abnormal phenotypic qualities. This approach will allow improved computerized reasoning as well as a facility to compare phenotypes between different species. The PATO mapping will also provide direct links from phenotypic abnormalities and underlying anatomic structures encoded using the Foundational Model of Anatomy, which will be a valuable resource for computational investigations of the links between anatomical components and concepts representing diseases with abnormal phenotypes and associated genes.

Indexed as

Models, AnatomicPhenotypeAnimalsBiomedical EngineeringComputational BiologyHumansMarfan SyndromeMiceSpecies SpecificityVocabulary, Controlled

Identifiers

PMID19964203
PMCPMC3398700

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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.