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Patterns of Population Differentiation and Natural Selection on the Celiac Disease Background Risk Network

Overview of attention for article published in PLOS ONE, July 2013
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Title
Patterns of Population Differentiation and Natural Selection on the Celiac Disease Background Risk Network
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0070564
Pubmed ID
Authors

Aaron Sams, John Hawks

Abstract

Celiac disease is a common small intestinal inflammatory condition induced by wheat gluten and related proteins from rye and barley. Left untreated, the clinical presentation of CD can include failure to thrive, malnutrition, and distension in juveniles. The disease can additionally lead to vitamin deficiencies, anemia, and osteoporosis. Therefore, CD potentially negatively affected fitness in past populations utilizing wheat, barley, and rye. Previous analyses of CD risk variants have uncovered evidence for positive selection on some of these loci. These studies also suggest the possibility that risk for common autoimmune conditions such as CD may be the result of positive selection on immune related loci in the genome to fight infection. Under this evolutionary scenario, disease phenotypes may be a trade-off from positive selection on immunity. If this hypothesis is generally true, we can expect to find a signal of natural selection when we survey across the network of loci known to influence CD risk. This study examines the non-HLA autosomal network of gene loci associated with CD risk in Europe. We reject the null hypothesis of neutrality on this network of CD risk loci. Additionally, we can localize evidence of selection in time and space by adding information from the genome of the Tyrolean Iceman. While we can show significant differentiation between continental regions across the CD network, the pattern of evidence is not consistent with primarily recent (Holocene) selection across this network in Europe. Further localization of ancient selection on this network may illuminate the ecological pressures acting on the immune system during this critically interesting phase of our evolution.

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The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Germany 2 4%
Portugal 1 2%
Unknown 48 91%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 21%
Researcher 10 19%
Student > Ph. D. Student 8 15%
Student > Master 6 11%
Other 5 9%
Other 6 11%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 40%
Biochemistry, Genetics and Molecular Biology 8 15%
Medicine and Dentistry 7 13%
Social Sciences 5 9%
Economics, Econometrics and Finance 1 2%
Other 3 6%
Unknown 8 15%