ArticleGenome research2011
Genetic analysis of complex traits in the emerging Collaborative Cross.
Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 245 papers, 1 of them a synthesis that pooled it.
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Who cites it
245 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis identifies gene-by-environment interactions as demonstrated in a study of 4,965 mice.PLoS genetics · 2014Pooled it
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- System genetic analysis of intestinal cancer and periodontitis development as influenced by aging and diabesity using Collaborative Cross mice.Animal models and experimental medicine · 2025Review
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- Identifying genetic susceptibility to Aspergillus fumigatus infection using collaborative cross mice and RNA-Seq approach.Animal models and experimental medicine · 2024Article
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- Age-dependent genetic regulation of osteoarthritis: independent effects of immune system genes.Arthritis research & therapy · 2023Article
- Towards system genetics analysis of head and neck squamous cell carcinoma using the mouse model, cellular platform, and clinical human data.Animal models and experimental medicine · 2023Review
- Host Genetic Background Effect on Body Weight Changes Influenced by HeterozygousInternational journal of molecular sciences · 2023Article
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185 more citing papers are in PubMed but not listed here.
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Authors and funding
41 authors.
Funding
Abstract
The Collaborative Cross (CC) is a mouse recombinant inbred strain panel that is being developed as a resource for mammalian systems genetics. Here we describe an experiment that uses partially inbred CC lines to evaluate the genetic properties and utility of this emerging resource. Genome-wide analysis of the incipient strains reveals high genetic diversity, balanced allele frequencies, and dense, evenly distributed recombination sites-all ideal qualities for a systems genetics resource. We map discrete, complex, and biomolecular traits and contrast two quantitative trait locus (QTL) mapping approaches. Analysis based on inferred haplotypes improves power, reduces false discovery, and provides information to identify and prioritize candidate genes that is unique to multifounder crosses like the CC. The number of expression QTLs discovered here exceeds all previous efforts at eQTL mapping in mice, and we map local eQTL at 1-Mb resolution. We demonstrate that the genetic diversity of the CC, which derives from random mixing of eight founder strains, results in high phenotypic diversity and enhances our ability to map causative loci underlying complex disease-related traits.
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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.