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Human gene copy number variation and infectious disease

Overview of attention for article published in Human Genetics, June 2014
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91 Mendeley
Title
Human gene copy number variation and infectious disease
Published in
Human Genetics, June 2014
DOI 10.1007/s00439-014-1457-x
Pubmed ID
Authors

Edward J. Hollox, Boon-Peng Hoh

Abstract

Variability in the susceptibility to infectious disease and its clinical manifestation can be determined by variation in the environment and by genetic variation in the pathogen and the host. Despite several successes based on candidate gene studies, defining the host variation affecting infectious disease has not been as successful as for other multifactorial diseases. Both single nucleotide variation and copy number variation (CNV) of the host contribute to the host's susceptibility to infectious disease. In this review we focus on CNV, particularly on complex multiallelic CNV that is often not well characterised either directly by hybridisation methods or indirectly by analysis of genotypes and flanking single nucleotide variants. We summarise the well-known examples, such as α-globin deletion and susceptibility to severe malaria, as well as more recent controversies, such as the extensive CNV of the chemokine gene CCL3L1 and HIV infection. We discuss the potential biological mechanisms that could underly any genetic association and reflect on the extensive complexity and functional variation generated by a combination of CNV and sequence variation, as illustrated by the Fc gamma receptor genes FCGR3A, FCGR3B and FCGR2C. We also highlight some understudied areas that might prove fruitful areas for further research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
Nigeria 1 1%
Unknown 87 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 25%
Researcher 14 15%
Student > Bachelor 11 12%
Student > Master 7 8%
Student > Doctoral Student 6 7%
Other 14 15%
Unknown 16 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 26%
Agricultural and Biological Sciences 24 26%
Medicine and Dentistry 10 11%
Computer Science 5 5%
Immunology and Microbiology 3 3%
Other 4 4%
Unknown 21 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 November 2014.
All research outputs
#13,410,980
of 22,759,618 outputs
Outputs from Human Genetics
#2,379
of 2,951 outputs
Outputs of similar age
#110,963
of 228,024 outputs
Outputs of similar age from Human Genetics
#12
of 19 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,951 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 18th percentile – i.e., 18% 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 228,024 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.