Kloek, AT;
van Setten, J;
van der Ende, A;
Bots, ML;
Asselbergs, FW;
Seron, MV;
Brouwer, MC;
... Ferwerda, B; + view all
(2016)
Exome Array Analysis of Susceptibility to Pneumococcal Meningitis.
Scientific Reports
, 6
, Article 29351. 10.1038/srep29351.
Text
Asselbergs_Exome Array Analysis of Susceptibility to Pneumococcal Meningitis.pdf - Published Version Download (406kB) |
Abstract
Host genetic variability may contribute to susceptibility of bacterial meningitis, but which genes contribute to the susceptibility to this complex disease remains undefined. We performed a genetic association study in 469 community-acquired pneumococcal meningitis cases and 2072 population-based controls from the Utrecht Health Project in order to find genetic variants associated with pneumococcal meningitis susceptibility. A HumanExome BeadChip was used to genotype 102,097 SNPs in the collected DNA samples. Associations were tested with the Fisher exact test. None of the genetic variants tested reached Bonferroni corrected significance (p-value <5 × 10−7). Our strongest signals associated with susceptibility to pneumococcal meningitis were rs139064549 on chromosome 1 in the COL11A1 gene (p = 1.51 × 10−6; G allele OR 3.21 [95% CI 2.05–5.02]) and rs9309464 in the EXOC6B gene on chromosome 2 (p = 6.01 × 10−5; G allele OR 0.66 [95% CI 0.54–0.81]). The sequence kernel association test (SKAT) tests for associations between multiple variants in a gene region and pneumococcal meningitis susceptibility yielded one significant associated gene namely COL11A1 (p = 1.03 × 10−7). Replication studies are needed to validate these results. If replicated, the functionality of these genetic variations should be further studied to identify by which means they influence the pathophysiology of pneumococcal meningitis.
Type: | Article |
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Title: | Exome Array Analysis of Susceptibility to Pneumococcal Meningitis |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1038/srep29351 |
Publisher version: | http://doi.org/10.1038/srep29351 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, BACTERIAL-MENINGITIS, CLINICAL-FEATURES, EXOCYST COMPLEX, ADULTS, ASSOCIATION, POLYMORPHISMS, DEXAMETHASONE, DIAGNOSIS, DISEASE, PROTEIN |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics |
URI: | https://discovery.ucl.ac.uk/id/eprint/1510292 |
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