Evidence map›Paper›PMID 24272351›Full record

ReviewMammalian genome : official journal of the International Mammalian Genome Society2014

Out of the bottleneck: the Diversity Outcross and Collaborative Cross mouse populations in behavioral genetics research.

Elissa J Chesler

Abstract readReview
In one paragraph

Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
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  9. Gene expression genetics of the striatum of Diversity Outbred mice.bioRxiv : the preprint server for biology · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Genetic Mapping of Behavioral Traits Using the Collaborative Cross Resource.International journal of molecular sciences · 2022
    Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
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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

1 author.

Elissa J CheslerThe Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA, elissa.chesler@jax.org.

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
UNC and PERLEGEN, IncP50GM076468 · NIGMS · JACKSON LABORATORY · PI PETKOV, PETKO M · 2006 to 2015
$31.0M
NCI NIH HHS P30 CA034196NIGMS NIH HHS GM 076468-07ENIGMS NIH HHS P50 GM076468
6 · The paper itself

Abstract

The historical origins of classical laboratory mouse strains have led to a relatively limited range of genetic and phenotypic variation, particularly for the study of behavior. Many recent efforts have resulted in improved diversity and precision of mouse genetic resources for behavioral research, including the Collaborative Cross and Diversity Outcross population. These two populations, derived from an eight way cross of common and wild-derived strains, have high precision and allelic diversity. Behavioral variation in the population is expanded, both qualitatively and quantitatively. Variation that had once been canalized among the various inbred lines has been made amenable to genetic dissection. The genetic attributes of these complementary populations, along with advances in genetic and genomic technologies, makes a systems genetic analyses of behavior more readily tractable, enabling discovery of a greater range of neurobiological phenomena underlying behavioral variation.

Indexed as

Genetics, BehavioralAnimalsChromosome MappingCrosses, GeneticGene Expression ProfilingGenetic VariationMiceMice, Inbred StrainsQuantitative Trait LociRecombination, Genetic

Identifiers

PMID24272351
PMCPMC3916706

What OpenQuestion holds

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Registered trials

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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.