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Pathogen selection drives nonoverlapping associations between HLA loci

Abstract:
Pathogen-mediated selection is commonly invoked as an explanation for the exceptional polymorphism of the HLA gene cluster, but its role in generating and maintaining linkage disequilibrium between HLA loci is unclear. Here we show that pathogen-mediated selection can promote nonrandom associations between HLA loci. These associations may be distinguished from linkage disequilibrium generated by other population genetic processes by virtue of being nonoverlapping as well as nonrandom. Within our framework, immune selection forces the pathogen population to exist as a set of antigenically discrete strains; this then drives nonoverlapping associations between the HLA loci through which recognition of these antigens is mediated. We demonstrate that this signature of pathogen-driven selection can be observed in existing data, and propose that analyses of HLA population structure can be combined with laboratory studies to help us uncover the functional relationships between HLA alleles. In a wider coevolutionary context, our framework also shows that the inclusion of memory immunity can lead to robust cyclical dynamics across a range of host–pathogen systems.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1073/pnas.1304218110

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author
ORCID:
0000-0001-9803-5209
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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author
ORCID:
0000-0002-9775-4006


More from this funder
Funder identifier:
https://ror.org/029chgv08
Funding agency for:
Penman, BS
Grant:
096063/Z/11/Z
Programme:
Sir Henry Wellcome Postdoctoral Fellow
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Funder identifier:
https://ror.org/0472cxd90
Programme:
DIVERSITY
More from this funder
Funder identifier:
https://ror.org/029chgv08


Publisher:
National Academy of Sciences
Journal:
Proceedings of the National Academy of Sciences More from this journal
Volume:
110
Issue:
48
Pages:
19645-19650
Publication date:
2013-11-13
Acceptance date:
2013-10-14
DOI:
EISSN:
1091-6490
ISSN:
0027-8424


Language:
English
Keywords:
Pubs id:
pubs:440143
UUID:
uuid:f0d9d48b-305c-45c1-936f-3e15bfc882f4
Local pid:
pubs:440143
Source identifiers:
440143
Deposit date:
2016-05-02
ARK identifier:

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