Evidence map›Paper›PMID 36066328›Full record

ArticleCurrent protocols2022

Using the Collaborative Cross and Diversity Outbred Mice in Immunology.

Justin Hackett, Heather Gibson, Jeffrey Frelinger, Adam Buntzman

Abstract read
In one paragraph

Article in Current protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Mechanisms of bacterial host-to-host transmission.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Biology · 2024
    Article
  14. Article
  15. Review
  16. Advancing mouse models for transplantation research.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    Article
  17. Article
  18. Review
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

4 authors.

Justin HackettBarbara Ann Karmanos Cancer Institute, Hudson-Webber Cancer Research Center, Detroit, Michigan.
Heather GibsonBarbara Ann Karmanos Cancer Institute, Hudson-Webber Cancer Research Center, Detroit, Michigan.
Jeffrey FrelingerUniversity of Arizona, Valley Fever Center for Excellence, Tucson, Arizona.
Adam BuntzmanUniversity of Arizona, BIO5 Institute, Valley Fever Center for Excellence, Tucson, Arizona.

Funding

TRAINING PROGRAM IN THE BIOLOGY OF CANCERT32CA009531 · NCI · WAYNE STATE UNIVERSITY · PI Larry H Matherly · 1985 to 2026
$5.3M
Delineating Functional Immunity via Image-Guided PETR37CA220482 · NCI · WAYNE STATE UNIVERSITY · PI GIBSON, HEATHER MARIE, VIOLA, NERISSA THERESE · 2018 to 2024
$3.9M
NCI NIH HHS R37 CA220482NCI NIH HHS T32 CA009531
6 · The paper itself

Abstract

The Collaborative Cross (CC) and the Diversity Outbred (DO) stock mouse panels are the most powerful murine genetics tools available to the genetics community. Together, they combine the strength of inbred animal models with the diversity of outbred populations. Using the 63 CC strains or a panel of DO mice, each derived from the same 8 parental mouse strains, researchers can map genetic contributions to exceptionally complex immunological and infectious disease traits that would require far greater powering if performed by genome-wide association studies (GWAS) in human populations. These tools allow genes to be studied in heterozygous and homozygous states and provide a platform to study epistasis between interacting loci. Most importantly, once a quantitative phenotype is investigated and quantitative trait loci are identified, confirmatory genetic studies can be performed, which is often problematic using the GWAS approach. In addition, novel stable mouse models for immune phenotypes are often derived from studies utilizing the DO and CC mice that can serve as stronger model systems than existing ones in the field. The CC/DO systems have contributed to the fields of cancer immunology, autoimmunity, vaccinology, infectious disease, allergy, tissue rejection, and tolerance but have thus far been greatly underutilized. In this article, we present a recent review of the field and point out key areas of immunology that are ripe for further investigation and awaiting new CC/DO research projects. We also highlight some of the strong computational tools that have been developed for analyzing CC/DO genetic and phenotypic data. Additionally, we have formed a centralized community on the CyVerse infrastructure where immunogeneticists can utilize those software tools, collaborate with groups across the world, and expand the use of the CC and DO systems for investigating immunogenetic phenomena. © 2022 Wiley Periodicals LLC.

Indexed as

Collaborative Cross MiceCommunicable DiseasesAnimalsCrosses, GeneticGenome-Wide Association StudyHumansMiceQuantitative Trait LociCollaborative CrossDiversity Outbredgenetic linkageimmunologyquantitative trait locus

Identifiers

PMID36066328
PMCPMC9612550

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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.