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Dark Matter: Are Mice the Solution to Missing Heritability?

Overview of attention for article published in Frontiers in Genetics, January 2011
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Title
Dark Matter: Are Mice the Solution to Missing Heritability?
Published in
Frontiers in Genetics, January 2011
DOI 10.3389/fgene.2011.00032
Pubmed ID
Authors

Clarissa C. Parker, Abraham A. Palmer

Abstract

Genome-wide association studies (GWAS) in humans have identified hundreds of single nucleotide polymorphisms associated with complex traits, yet for most traits studied, the sum total of all these identified variants fail to explain a significant portion of the heritable variation. Reasons for this "missing heritability" are thought to include the existence of rare causative variants not captured by current genotyping arrays, structural variants that go undetected by existing technology, insufficient power to identify multi-gene interactions, small sample sizes, and the influence of environmental and epigenetic effects. As genotyping technologies have evolved it has become inexpensive and relatively straightforward to perform GWAS in mice. Mice offer a powerful tool for elucidating the genetic architecture of behavioral and physiological traits, and are complementary to human studies. Unlike F(2) crosses of inbred strains, advanced intercross lines, heterogeneous stocks, outbred, and wild-caught mice have more rapid breakdown of linkage disequilibrium which allow for increasingly high resolution mapping. Because some of these populations are created using a small number of founder chromosomes they are not expected to harbor rare alleles. We discuss the differences between these mouse populations and examine their potential to overcome some of the pitfalls that have plagued human GWAS studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Norway 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 41%
Student > Ph. D. Student 9 23%
Professor 5 13%
Other 2 5%
Student > Master 1 3%
Other 3 8%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 49%
Medicine and Dentistry 4 10%
Biochemistry, Genetics and Molecular Biology 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Psychology 2 5%
Other 5 13%
Unknown 4 10%
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 06 March 2012.
All research outputs
#18,313,878
of 22,675,759 outputs
Outputs from Frontiers in Genetics
#6,965
of 11,737 outputs
Outputs of similar age
#159,968
of 180,328 outputs
Outputs of similar age from Frontiers in Genetics
#48
of 58 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,737 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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