Journal article
Mapping the drivers of within-host pathogen evolution using massive data sets
- Abstract:
-
Differences among hosts, resulting from genetic variation in the immune system or heterogeneity in drug treatment, can impact within-host pathogen evolution. Genetic association studies can potentially identify such interactions. However, extensive and correlated genetic population structure in hosts and pathogens presents a substantial risk of confounding analyses. Moreover, the multiple testing burden of interaction scanning can potentially limit power. We present a Bayesian approach for de...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 1.1MB, Terms of use)
-
(Version of record, zip, 90.3MB, Terms of use)
-
(Preview, Version of record, pdf, 2.3MB, Terms of use)
-
- Publisher copy:
- 10.1038/s41467-019-10724-w
Authors
Funding
Bibliographic Details
- Publisher:
- Springer Nature
- Journal:
- Nature Communications More from this journal
- Volume:
- 10
- Article number:
- 3017
- Publication date:
- 2019-07-09
- Acceptance date:
- 2019-05-20
- DOI:
- EISSN:
-
2041-1723
Item Description
- Pubs id:
-
pubs:1011980
- UUID:
-
uuid:c29d3020-c9e4-4410-9582-1ee2c314faaf
- Local pid:
-
pubs:1011980
- Source identifiers:
-
1011980
- Deposit date:
-
2019-06-12
Terms of use
- Copyright holder:
- Palmer et al
- Copyright date:
- 2019
- Notes:
- Copyright © 2019 The Authors. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Licence:
- CC Attribution (CC BY)
Metrics
If you are the owner of this record, you can report an update to it here: Report update to this record