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Systems Genetics

Overview of attention for book
Cover of 'Systems Genetics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Resources for Systems Genetics
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    Chapter 2 Heterogeneous Stock Populations for Analysis of Complex Traits
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    Chapter 3 Mouse Genome Informatics (MGI): Resources for Mining Mouse Genetic, Genomic, and Biological Data in Support of Primary and Translational Research
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    Chapter 4 GeneNetwork: A Toolbox for Systems Genetics
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    Chapter 5 Complex Trait Analyses of the Collaborative Cross: Tools and Databases
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    Chapter 6 Integrative Functional Genomics for Systems Genetics in GeneWeaver.org
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    Chapter 7 A Suite of Tools for Biologists That Improve Accessibility and Visualization of Large Systems Genetics Datasets: Applications to the Hybrid Mouse Diversity Panel
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    Chapter 8 Expression QTLs Mapping and Analysis: A Bayesian Perspective
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    Chapter 9 Epigenetics and Control of RNAs
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    Chapter 10 Integrating Multidimensional Data Sources to Identify Genes Regulating Complex Phenotypes
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    Chapter 11 RNA-Seq in the Collaborative Cross
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    Chapter 12 QTL Mapping and Identification of Candidate Genes in DO Mice: A Use Case Model Derived from a Benzene Toxicity Experiment
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    Chapter 13 Visualization of Results from Systems Genetics Studies in Chromosomal Context
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    Chapter 14 Using Baseline Transcriptional Connectomes in Rat to Identify Genetic Pathways Associated with Predisposition to Complex Traits
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    Chapter 15 Precise Network Modeling of Systems Genetics Data Using the Bayesian Network Webserver
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    Chapter 16 Systems Genetics as a Tool to Identify Master Genetic Regulators in Complex Disease
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    Chapter 17 Genomic Control of Retinal Cell Number: Challenges, Protocol, and Results
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    Chapter 18 Systems Genetics Analysis to Identify the Genetic Modulation of a Glaucoma-Associated Gene
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    Chapter 19 Genetic Dissection of Variation in Hippocampal Intra- and Infrapyramidal Mossy Fibers in the Mouse
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    Chapter 20 Complex Genetics of Cardiovascular Traits in Mice: F2-Mapping of QTLs and Their Underlying Genes
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    Chapter 21 Systems Genetics of Liver Fibrosis
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    Chapter 22 Systems Genetics Analysis of Iron and Its Regulation in Brain and Periphery
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    Chapter 23 Systems Genetics of Obesity
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    Chapter 24 Social Interactions and Indirect Genetic Effects on Complex Juvenile and Adult Traits
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    Chapter 25 Complex Genetics of Behavior: BXDs in the Automated Home-Cage
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    Chapter 26 Integrative Analysis of Genetic, Genomic, and Phenotypic Data for Ethanol Behaviors: A Network-Based Pipeline for Identifying Mechanisms and Potential Drug Targets
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    Chapter 27 Dissection of Host Susceptibility to Bacterial Infections and Its Toxins
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    Chapter 28 The Collaborative Cross Resource for Systems Genetics Research of Infectious Diseases
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    Chapter 29 Using Systems Genetics to Understanding the Etiology of Complex Disease
Attention for Chapter 28: The Collaborative Cross Resource for Systems Genetics Research of Infectious Diseases
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Chapter title
The Collaborative Cross Resource for Systems Genetics Research of Infectious Diseases
Chapter number 28
Book title
Systems Genetics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6427-7_28
Pubmed ID
Book ISBNs
978-1-4939-6425-3, 978-1-4939-6427-7

Paul L. Maurizio, Martin T. Ferris, Maurizio, Paul L, Ferris, Martin T


Klaus Schughart, Robert W. Williams


An increasing body of evidence highlights the role of host genetic variation in driving susceptibility to severe disease following pathogen infection. In order to fully appreciate the importance of host genetics on infection susceptibility and resulting disease, genetically variable experimental model systems should be employed. These systems allow for the identification, characterization, and mechanistic dissection of genetic variants that cause differential disease responses. Herein we discuss application of the Collaborative Cross (CC) panel of recombinant inbred strains to study viral pathogenesis, focusing on practical considerations for experimental design, assessment and analysis of disease responses within the CC, as well as some of the resources developed for the CC. Although the focus of this chapter is on viral pathogenesis, many of the methods presented within are applicable to studies of other pathogens, as well as to case-control designs in genetically diverse populations.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Student > Ph. D. Student 1 33%
Researcher 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 67%
Immunology and Microbiology 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2017.
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Altmetric has tracked 12,231,187 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,304 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,441 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 1,516 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.