The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The polymorphism architecture of mouse genetic resources elucidated using genome-wide resequencing data: implications for QTL discovery and systems genetics
Open accessAbstract
Mouse genetic resources include inbred strains, recombinant inbred lines, chromosome substitution strains, heterogeneous stocks, and the Collaborative Cross (CC). These resources were generated through various breeding designs that potentially produce different genetic architectures, including the level of diversity represented, the spatial distribution of the variation, and the allele frequencies within the resource. By combining sequencing data for 16 inbred strains and the recorded history of related strains, the architecture of genetic variation in mouse resources was determined. The most commonly used resources harbor only a fraction of the genetic diversity of Mus musculus, which is not uniformly distributed thus resulting in many blind spots. Only resources that include wild-derived inbred strains from subspecies other than M. m. domesticus have no blind spots and a uniform distribution of the variation. Unlike other resources that are primarily suited for gene discovery, the CC is the only resource that can support genome-wide network analysis, which is the foundation of systems genetics. The CC captures significantly more genetic diversity with no blind spots and has a more uniform distribution of the variation than all other resources. Furthermore, the distribution of allele frequencies in the CC resembles that seen in natural populations like humans in which many variants are found at low frequencies and only a minority of variants are common. We conclude that the CC represents a dramatic improvement over existing genetic resources for mammalian systems biology applications.
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Fisher, R. A. (1936) · BMJ · doi:10.1136/bmj.1.3923.554-a · Cited by 4,980
Fortin, A., Diez, E., Rochefort, D., Laroche, L., Malo, D., Rouleau, G. A., Gros, P., & Skamene, E. (2001) · Genomics · doi:10.1006/geno.2001.6528 · Cited by 116
Cited by
The Genome Architecture of the Collaborative Cross Mouse Genetic Reference Population
Collaborative Cross Consortium (2012) · Genetics · doi:10.1534/genetics.111.132639 · Cited by 480
Genetic analysis of complex traits in the emerging Collaborative Cross
Aylor, D. L., Valdar, W., Foulds-Mathes, W., Buus, R. J., Verdugo, R. A., Baric, R. S., Ferris, M. T., Frelinger, J. A., Heise, M., Frieman, M. B., et al. (2011) · Genome Research · doi:10.1101/gr.111310.110 · Cited by 328
Self-citationHost genetic diversity enables Ebola hemorrhagic fever pathogenesis and resistance
Rasmussen, A. L., Okumura, A., Ferris, M. T., Green, R., Feldmann, F., Kelly, S. M., Scott, D. P., Safronetz, D., Haddock, E., LaCasse, R., et al. (2014) · Science · doi:10.1126/science.1259595 · Cited by 290
Host genotype and gut microbiome modulate insulin secretion and diet-induced metabolic phenotypes
Kreznar, J. H., Keller, M. P., Traeger, L. L., Rabaglia, M. E., Schueler, K. L., Stapleton, D. S., Zhao, W., Vivas, E. I., Yandell, B. S., Broman, A. T., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.01.062 · Cited by 177
Genetic analysis in the Collaborative Cross breeding population
Philip, V. M., Sokoloff, G., Ackert-Bicknell, C. L., Striz, M., Branstetter, L., Beckmann, M. A., Spence, J. S., Jackson, B. L., Galloway, L. D., Barker, P., et al. (2011) · Genome Research · doi:10.1101/gr.113886.110 · Cited by 168
Metadata
- Authors
- Roberts, A., Pardo-Manuel de Villena, F., Wang, W., McMillan, L., & Threadgill, D. W.
- Venue
- Mammalian Genome
- Published
- 2007-07
- Volume
- 18
- Issue
- 6-7
- Pages
- 473-481
- ISSN
- 0938-8990 (ISSN-L)
- 1432-1777
- OpenAlex
- W2103802172
- Cited by
- 256
- References
- 2
- FWCI
- 6.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
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