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Article details
Title
Mouse Models of Genomic Syndromes as Tools for Understanding the Basis of Complex Traits: An Example with the Smith-Magenis and the Potocki-Lupski Syndromes
Published in
Current Genomics, June 2009
DOI 10.2174/138920209788488508
Pubmed ID
Authors
Abstract

Each human's genome is distinguished by extra and missing DNA that can be "benign" or powerfully impact everything from development to disease. In the case of genomic disorders DNA rearrangements, such as deletions or duplications, correlate with a clinical specific phenotype. The clinical presentations of genomic disorders were thought to result from altered gene copy number of physically linked dosage sensitive genes. Genomic disorders are frequent diseases (~1 per 1,000 births). Smith-Magenis syndrome (SMS) and Potocki-Lupski syndrome (PTLS) are genomic disorders, associated with a deletion and a duplication, of 3.7 Mb respectively, within chromosome 17 band p11.2. This region includes 23 genes. Both syndromes have complex and distinctive phenotypes including multiple congenital and neurobehavioral abnormalities. Human chromosome 17p11.2 is syntenic to the 32-34 cM region of murine chromosome 11. The number and order of the genes are highly conserved. In this review, we will exemplify how genomic disorders can be modeled in mice and the advantages that such models can give in the study of genomic disorders in particular and gene copy number variation (CNV) in general. The contributions of the SMS and PTLS animal models in several aspects ranging from more specific ones, as the definition of the clinical aspects of the human clinical spectrum, the identification of dosage sensitive genes related to the human syndromes, to the more general contributions as the definition of genetic locus impacting obesity and behavior and the elucidation of general mechanisms related to the pathogenesis of gene CNV are discussed.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 1 4%
Switzerland 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 6 21%
Student > Ph. D. Student 5 18%
Professor 4 14%
Student > Bachelor 3 11%
Professor > Associate Professor 3 11%
Other 5 18%
Unknown 2 7%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 7 25%
Biochemistry, Genetics and Molecular Biology 6 21%
Medicine and Dentistry 6 21%
Psychology 2 7%
Neuroscience 2 7%
Other 2 7%
Unknown 3 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 April 2015.
All research outputs
#7,462,180
of 22,813,792 outputs
Outputs from Current Genomics
#148
of 441 outputs
Outputs of similar age
#38,295
of 113,903 outputs
Outputs of similar age from Current Genomics
#5
of 7 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 441 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 113,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.