Source:http://linkedlifedata.com/resource/pubmed/id/15043220
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
4
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| pubmed:dateCreated |
2004-3-26
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| pubmed:abstractText |
Full genome sequencing, high-density genotyping, expanding sets of microarray assays, and systematic phenotyping of neuroanatomical and behavioral traits are producing a wealth of data on the mouse central nervous system (CNS). These disparate resources are still poorly integrated. One solution is to acquire these data using a common reference population of isogenic lines of mice, providing a point of integration between the data types. Recombinant inbred (RI) mice, derived through inbreeding of progeny from an inbred cross, are a powerful tool for complex trait mapping and analysis of the challenging phenotypes of neuroscientific interest. These isogenic RI lines are a retrievable genetic resource that can be repeatedly studied using a wide variety of assays. Diverse data sets can be related through fixed and known genomes, using tools such as the interactive web-based system for complex trait analysis, www.WebQTL.org. In this report, we demonstrate the use of WebQTL to explore complex interactions among a wide variety of traits--from mRNA transcripts to the impressive behavioral and pharmacological variation among RI strains. The relational approach exploiting a common set of strains facilitates study of multiple effects of single genes (pleiotropy) without a priori hypotheses required. Here we demonstrate the power of this technique through genetic correlation of gene expression with a database of neurobehavioral phenotypes collected in these strains of mice through more than 20 years of experimentation. By repeatedly studying the same panel of mice, early data can be re-examined in light of technological advances unforeseen at the time of their initial collection.
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| pubmed:grant | |
| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:chemical | |
| pubmed:status |
MEDLINE
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| pubmed:issn |
1539-2791
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| pubmed:author | |
| pubmed:issnType |
Print
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| pubmed:volume |
1
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
343-57
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| pubmed:dateRevised |
2007-11-15
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| pubmed:meshHeading |
pubmed-meshheading:15043220-Animals,
pubmed-meshheading:15043220-Behavior, Animal,
pubmed-meshheading:15043220-Brain,
pubmed-meshheading:15043220-Chromosome Mapping,
pubmed-meshheading:15043220-Databases, Genetic,
pubmed-meshheading:15043220-Female,
pubmed-meshheading:15043220-Gene Expression,
pubmed-meshheading:15043220-Genome,
pubmed-meshheading:15043220-Mice,
pubmed-meshheading:15043220-Mice, Inbred Strains,
pubmed-meshheading:15043220-Models, Genetic,
pubmed-meshheading:15043220-Neurosciences,
pubmed-meshheading:15043220-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:15043220-Phenotype,
pubmed-meshheading:15043220-Quantitative Trait Loci,
pubmed-meshheading:15043220-RNA, Messenger,
pubmed-meshheading:15043220-Recombination, Genetic,
pubmed-meshheading:15043220-Review Literature as Topic,
pubmed-meshheading:15043220-Statistics as Topic
|
| pubmed:year |
2003
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| pubmed:articleTitle |
Genetic correlates of gene expression in recombinant inbred strains: a relational model system to explore neurobehavioral phenotypes.
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| pubmed:affiliation |
Department of Anatomy and Neurobiology, Center for Genomics and Bioinformatics, University of Tennessee Health Science Center, Memphis, TN, USA. echesler@utmem.edu
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| pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, U.S. Gov't, P.H.S.,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, Non-U.S. Gov't
|