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The impact of cis-acting polymorphisms on the human phenotype

Overview of attention for article published in The HUGO Journal, July 2011
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Title
The impact of cis-acting polymorphisms on the human phenotype
Published in
The HUGO Journal, July 2011
DOI 10.1007/s11568-011-9155-4
Pubmed ID
Authors

Bryony L. Jones, Dallas M. Swallow

Abstract

Cis-acting polymorphisms that affect gene expression are now known to be frequent, although the extent and mechanisms by which such variation affects the human phenotype are, as yet, only poorly understood. Key signatures of cis-acting variation are differences in gene expression that are tightly associated with regulatory SNPs or expression Quantitative Trait Loci (eQTL) and an imbalance of allelic expression (AEI) in heterozygous samples. Such cis-acting sequence differences appear often to have been under selection within and between populations and are also thought to be important in speciation. Here we describe the example of lactase persistence. In medical research, variants that affect regulation in cis have been implicated in both monogenic and polygenic disorders, and in the metabolism of drugs. In this review we suggest that by further understanding common regulatory variations and how they interact with other genetic and environmental variables it will be possible to gain insight into important mechanisms behind complex disease, with the potential to lead to new methods of diagnosis and treatments.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Norway 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 16%
Researcher 8 15%
Student > Ph. D. Student 7 13%
Student > Bachelor 7 13%
Student > Doctoral Student 3 5%
Other 10 18%
Unknown 11 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 40%
Medicine and Dentistry 6 11%
Biochemistry, Genetics and Molecular Biology 6 11%
Computer Science 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 11%
Unknown 11 20%
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 12 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from The HUGO Journal
#14
of 19 outputs
Outputs of similar age
#99,098
of 119,297 outputs
Outputs of similar age from The HUGO Journal
#2
of 2 outputs
Altmetric has tracked 22,689,790 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 19 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one scored the same or higher as 5 of them.
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 119,297 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
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