Evidence map›Paper›PMID 15608243›Full record

ArticleNucleic acids research2005

The Rat Genome Database (RGD): developments towards a phenome database.

Norberto de la Cruz, Susan Bromberg, Dean Pasko, Mary Shimoyama, Simon Twigger, Jiali Chen, Chin-Fu Chen, Chunyu Fan, Cindy Foote, Gopal R Gopinath and 18 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Genome-to-phenome research in rats: progress and perspectives.International journal of biological sciences · 2021
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Selection of extreme phenotypes: the role of clinical observation in translational research.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2010
    Review
  9. Article
  10. Article
  11. Article
  12. Advanced genomic data mining.PLoS computational biology · 2008
    Article
  13. Article
  14. Multiplex microsatellite marker panels for genetic monitoring of common rat strains.Journal of the American Association for Laboratory Animal Science : JAALAS · 2008
    Article
  15. Article
  16. Article
  17. Article
  18. Computational approaches to phenotyping: high-throughput phenomics.Proceedings of the American Thoracic Society · 2007
    Review
  19. Article
  20. 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

28 authors.

Norberto de la CruzHuman and Molecular Genetics Center, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53213, USA.
Susan Bromberg
Dean Pasko
Mary Shimoyama
Simon Twigger
Jiali Chen
Chin-Fu Chen
Chunyu Fan
Cindy Foote
Gopal R Gopinath
Glenn Harris
Aubrey Hughes
Yuan Ji
Weihong Jin
Dawei Li
Jedidiah Mathis
Natalya Nenasheva
Jeff Nie
Rajni Nigam
Victoria Petri
Dorothy Reilly
Weiye Wang
Wenhua Wu
Angela Zuniga-Meyer
Lan Zhao
Anne Kwitek
Peter Tonellato
Howard Jacob

Funding

RAT GENOME DATABASER01HL064541 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI ANNE E. KWITEK · 1999 to 2026
$50.0M
NHLBI NIH HHS HL64541NHLBI NIH HHS R01 HL064541
6 · The paper itself

Abstract

The Rat Genome Database (RGD) (http://rgd.mcw.edu) aims to meet the needs of its community by providing genetic and genomic infrastructure while also annotating the strengths of rat research: biochemistry, nutrition, pharmacology and physiology. Here, we report on RGD's development towards creating a phenome database. Recent developments can be categorized into three groups. (i) Improved data collection and integration to match increased volume and biological scope of research. (ii) Knowledge representation augmented by the implementation of a new ontology and annotation system. (iii) The addition of quantitative trait loci data, from rat, mouse and human to our advanced comparative genomics tools, as well as the creation of new, and enhancement of existing, tools to enable users to efficiently browse and survey research data. The emphasis is on helping researchers find genes responsible for disease through the use of rat models. These improvements, combined with the genomic sequence of the rat, have led to a successful year at RGD with over two million page accesses that represent an over 4-fold increase in a year. Future plans call for increased annotation of biological information on the rat elucidated through its use as a model for human pathobiology. The continued development of toolsets will facilitate integration of these data into the context of rat genomic sequence, as well as allow comparisons of biological and genomic data with the human genomic sequence and of an increasing number of organisms.

Indexed as

Databases, Nucleic AcidGenomicsPhenotypeAnimalsChromosome MappingDatabase Management SystemsDisease Models, AnimalGenetic MarkersGenomeQuantitative Trait LociRatsSystems IntegrationGenetic Markers

Identifiers

PMID15608243
PMCPMC540004

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.