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The power of comparative and developmental studies for mouse models of Down syndrome

Overview of attention for article published in Mammalian Genome, July 2007
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Title
The power of comparative and developmental studies for mouse models of Down syndrome
Published in
Mammalian Genome, July 2007
DOI 10.1007/s00335-007-9030-8
Pubmed ID
Authors

Clara S. Moore, Randall J. Roper

Abstract

Since the genetic basis for Down syndrome (DS) was described, understanding the causative relationship between genes at dosage imbalance and phenotypes associated with DS has been a principal goal of researchers studying trisomy 21 (Ts21). Though inferences to the gene-phenotype relationship in humans have been made, evidence linking a specific gene or region to a particular congenital phenotype has been limited. To further understand the genetic basis for DS phenotypes, mouse models with three copies of human chromosome 21 (Hsa21) orthologs have been developed. Mouse models offer access to every tissue at each stage of development, opportunity to manipulate genetic content, and ability to precisely quantify phenotypes. Numerous approaches to recreate trisomic composition and analyze phenotypes similar to DS have resulted in diverse trisomic mouse models. A murine intraspecies comparative analysis of different genetic models of Ts21 and specific DS phenotypes reveals the complexity of trisomy and important considerations to understand the etiology of and strategies for amelioration or prevention of trisomic phenotypes. By analyzing individual phenotypes in different mouse models throughout development, such as neurologic, craniofacial, and cardiovascular abnormalities, greater insight into the gene-phenotype relationship has been demonstrated. In this review we discuss how phenotype-based comparisons between DS mouse models have been useful in analyzing the relationship of trisomy and DS phenotypes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
Spain 1 3%
United States 1 3%
Unknown 30 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Ph. D. Student 5 15%
Student > Bachelor 4 12%
Student > Postgraduate 4 12%
Student > Master 4 12%
Other 7 21%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 53%
Biochemistry, Genetics and Molecular Biology 3 9%
Neuroscience 2 6%
Medicine and Dentistry 2 6%
Psychology 1 3%
Other 2 6%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 February 2013.
All research outputs
#20,184,694
of 22,699,621 outputs
Outputs from Mammalian Genome
#1,062
of 1,124 outputs
Outputs of similar age
#66,038
of 68,415 outputs
Outputs of similar age from Mammalian Genome
#7
of 7 outputs
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