- Abstract:
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Non-coding genetic variants play an important role in driving susceptibility to complex diseases but their characterization remains challenging. Here, we employed a novel approach to interrogate the genetic risk of such polymorphisms in a more systematic way by targeting specific regulatory regions relevant for the phenotype studied. We applied this method to meningococcal disease susceptibility, using the DNA binding pattern of RELA - a NF-kB subunit, master regulator of the response to infe...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's Version
- Files:
-
-
(pdf, 1.7mb)
-
- Publisher copy:
- 10.1038/s41598-019-43292-6
-
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- Publisher:
- Springer Nature Publisher's website
- Journal:
- Scientific Reports Journal website
- Volume:
- 9
- Issue:
- 1
- Pages:
- Article: 6966
- Publication date:
- 2019-05-06
- Acceptance date:
- 2019-04-17
- DOI:
- ISSN:
-
2045-2322
- Pubs id:
-
pubs:997120
- URN:
-
uri:6661c439-8aaf-4468-8c39-0e7bf898f202
- UUID:
-
uuid:6661c439-8aaf-4468-8c39-0e7bf898f202
- Local pid:
- pubs:997120
- Language:
- English
- Keywords:
- Copyright holder:
- Borghini et al.
- Copyright date:
- 2019
- Notes:
- © The Author(s) 2019. 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.
Journal article
Identification of regulatory variants associated with genetic susceptibility to meningococcal disease
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