Evidence map›Paper›PMID 26162703›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2015

Allele, phenotype and disease data at Mouse Genome Informatics: improving access and analysis.

Susan M Bello, Cynthia L Smith, Janan T Eppig

Open access · hybridAbstract read
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Murine allele and transgene symbols: ensuring unique, concise, and informative nomenclature.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. PregOMICS-Leveraging systems biology and bioinformatics for drug repurposing in maternal-child health.American journal of reproductive immunology (New York, N.Y. : 1989) · 2018
    Article
  12. Born to Cry: A Genetic Dissection of Infant Vocalization.Frontiers in behavioral neuroscience · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  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

3 authors at 1 institution in 1 country.

Susan M BelloMouse Genome Informatics, The Jackson Laboratory, Bar Harbor, ME, 04609, USA, susan.bello@jax.org.
Cynthia L Smith
Janan T Eppig
Jackson Laboratory · US

Funding

SOFTWARE AND DATABASE SYSTEM DEVELOPMENTP41HG000330 · NHGRI · JACKSON LABORATORY · PI EPPIG, JANAN T. · 1995 to 2010
$72.1M
Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Mark D ADAMS · 1985 to 2026
$61.9M
Mouse Genome DatabaseU41HG000330 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A, BULT, CAROL J · 2011 to 2020
$45.5M
MULTI-LEVEL ANALYSIS AND DISPLAY OF MOUSE GENOME DATAP01HG000330 · NHGRI · JACKSON LABORATORY · PI EPPIG, JANAN T. · 1990 to 1994
–
NCI NIH HHS P30 CA034196NHGRI NIH HHS HG000330NHGRI NIH HHS P41 HG000330NHGRI NIH HHS U41 HG000330
6 · The paper itself

Abstract

A core part of the Mouse Genome Informatics (MGI) resource is the collection of mouse mutations and the annotation phenotypes and diseases displayed by mice carrying these mutations. These data are integrated with the rest of data in MGI and exported to numerous other resources. The use of mouse phenotype data to drive translational research into human disease has expanded rapidly with the improvements in sequencing technology. MGI has implemented many improvements in allele and phenotype data annotation, search, and display to facilitate access to these data through multiple avenues. For example, the description of alleles has been modified to include more detailed categories of allele attributes. This allows improved discrimination between mutation types. Further, connections have been created between mutations involving multiple genes and each of the genes overlapping the mutation. This allows users to readily find all mutations affecting a gene and see all genes affected by a mutation. In a similar manner, the genes expressed by transgenic or knock-in alleles are now connected to these alleles. The advanced search forms and public reports have been updated to take advantage of these improvements. These search forms and reports are used by an expanding number of researchers to identify novel human disease genes and mouse models of human disease.

Indexed as

AllelesGenomePhenotypeSoftwareAnimalsDatabases, GeneticDisease Models, AnimalGenomicsGenotypeHumansMiceMice, TransgenicMolecular Sequence AnnotationMutagenesis, Site-DirectedMutationTranslational Research, Biomedical

Identifiers

PMID26162703
PMCPMC4534497
OpenAlexW969051062

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.