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Evolutionary Determinants of Genetic Variation in Susceptibility to Infectious Diseases in Humans

Overview of attention for article published in PLOS ONE, January 2012
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Title
Evolutionary Determinants of Genetic Variation in Susceptibility to Infectious Diseases in Humans
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0029089
Pubmed ID
Authors

Christi Baker, Janis Antonovics

Abstract

Although genetic variation among humans in their susceptibility to infectious diseases has long been appreciated, little focus has been devoted to identifying patterns in levels of variation in susceptibility to different diseases. Levels of genetic variation in susceptibility associated with 40 human infectious diseases were assessed by a survey of studies on both pedigree-based quantitative variation, as well as studies on different classes of marker alleles. These estimates were correlated with pathogen traits, epidemiological characteristics, and effectiveness of the human immune response. The strongest predictors of levels of genetic variation in susceptibility were disease characteristics negatively associated with immune effectiveness. High levels of genetic variation were associated with diseases with long infectious periods and for which vaccine development attempts have been unsuccessful. These findings are consistent with predictions based on theoretical models incorporating fitness costs associated with the different types of resistance mechanisms. An appreciation of these observed patterns will be a valuable tool in directing future research given that genetic variation in disease susceptibility has large implications for vaccine development and epidemiology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 2 2%
United Kingdom 2 2%
France 1 <1%
Ireland 1 <1%
Ghana 1 <1%
Portugal 1 <1%
Romania 1 <1%
Switzerland 1 <1%
Other 2 2%
Unknown 111 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 25%
Researcher 27 21%
Student > Master 16 13%
Student > Bachelor 14 11%
Professor 5 4%
Other 17 13%
Unknown 16 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 43%
Biochemistry, Genetics and Molecular Biology 13 10%
Medicine and Dentistry 13 10%
Immunology and Microbiology 5 4%
Environmental Science 3 2%
Other 15 12%
Unknown 23 18%