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Genetic variants and susceptibility to neurological complications following West Nile virus infection.

ABSTRACT: To determine genetic factors predisposing to neurological complications following West Nile virus infection, we analyzed a cohort of 560 neuroinvasive case patients and 950 control patients for 13 371 mostly nonsynonymous single-nucleotide polymorphisms (SNPs). The top 3 SNPs on the basis of statistical significance were also in genes of biological plausibility: rs2066786 in RFC1 (replication factor C1) (P = 1.88 × 10(-5); odds ratio [OR], 0.68 [95% confidence interval {CI}, .56-.81]); rs2298771 in SCN1A (sodium channel, neuronal type I ? subunit) (P = 5.87 × 10(-5); OR, 1.47 [95% CI, 1.21-1.77]); and rs25651 in ANPEP (ananyl aminopeptidase) (P = 1.44 × 10(-4); OR, 0.69 [95% CI, .56-.83]). Additional genotyping of these SNPs in a separate sample of 264 case patients and 296 control patients resulted in a lack of significance in the replication cohort; joint significance was as follows: rs2066786, P = .0022; rs2298771, P = .005; rs25651, P = .042. Using mostly nonsynonymous variants, we therefore did not identify genetic variants associated with neuroinvasive disease.

SUBMITTER: Loeb M

PROVIDER: S-EPMC3203390 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature

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Genetic variants and susceptibility to neurological complications following West Nile virus infection.

Loeb Mark M Eskandarian Sasha S Rupp Mark M Fishman Neil N Gasink Leanne L Patterson Jan J Bramson Jonathan J Hudson Thomas J TJ Lemire Mathieu M

The Journal of infectious diseases 20111001 7

To determine genetic factors predisposing to neurological complications following West Nile virus infection, we analyzed a cohort of 560 neuroinvasive case patients and 950 control patients for 13 371 mostly nonsynonymous single-nucleotide polymorphisms (SNPs). The top 3 SNPs on the basis of statistical significance were also in genes of biological plausibility: rs2066786 in RFC1 (replication factor C1) (P = 1.88 × 10(-5); odds ratio [OR], 0.68 [95% confidence interval {CI}, .56-.81]); rs2298771 ...[more]

PMID: 21881118

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Project description:BACKGROUND:Infections with the West Nile virus (WNV) can attack neurological tissues in the host and alter gene expression levels therein. Several individual studies have analyzed these changes in the transcriptome based on measurements with DNA microarrays. Individual microarray studies produce a high-dimensional data structure with the number of studied genes exceeding the available sample size by far. Therefore, the level of scientific evidence of these studies is rather low and results can remain uncertain. Furthermore, the individual studies concentrate on different types of tissues or different time points after infection. A general statement regarding the transcriptional changes through WNV infection in neurological tissues is therefore hard to make. We screened public databases for transcriptome expression studies related to WNV infections and used different analysis pipelines to perform meta-analyses of these data with the goal of obtaining more stable results and increasing the level of evidence. RESULTS:We generated new lists of genes differentially expressed between WNV infected neurological tissues and control samples. A comparison with these genes to findings of a meta-analysis of immunological tissues is performed to figure out tissue-specific differences. While 5.879 genes were identified exclusively in the neurological tissues, 15 genes were found exclusively in the immunological tissues, and 44 genes were commonly detected in both tissues. Most findings of the original studies could be confirmed by the meta-analysis with a higher statistical power, but some genes and GO terms related to WNV were newly detected, too. In addition, we identified gene ontology terms related to certain infection processes, which are significantly enriched among the differentially expressed genes. In the neurological tissues, 17 gene ontology terms were found significantly different, and 2 terms in the immunological tissues. CONCLUSIONS:A critical discussion of our findings shows benefits but also limitations of the meta-analytic approach. In summary, the produced gene lists, identified gene ontology terms and network reconstructions appear to be more reliable than the results from the individual studies. Our meta-analysis provides a basis for further research on the transcriptional mechanisms by WNV infections in neurological tissues.

Dataset Information

Genetic variants and susceptibility to neurological complications following West Nile virus infection.

Publications

Genetic variants and susceptibility to neurological complications following West Nile virus infection.

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