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. 2019 Feb;285(2):215-222.
doi: 10.1111/joim.12829. Epub 2018 Sep 17.

Variations in maternal adenylate cyclase genes are associated with congenital Zika syndrome in a cohort from Northeast, Brazil

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Variations in maternal adenylate cyclase genes are associated with congenital Zika syndrome in a cohort from Northeast, Brazil

Á D Rossi et al. J Intern Med. 2019 Feb.

Abstract

Background: Vertical transmission of Zika virus (ZIKV) is associated with congenital malformations but the mechanism of pathogenesis remains unclear. Although host genetics appear to play a role, no genetic association study has yet been performed to evaluate this question. In order to investigate if maternal genetic variation is associated with Congenital Zika Syndrome (CZS), we conducted a case-control study in a cohort of Brazilian women infected with ZIKV during pregnancy.

Methods: A total of 100 women who reported symptoms of zika during pregnancy were enrolled and tested for ZIKV. Among 52 women positive for ZIKV infection, 28 were classified as cases and 24 as controls based on the presence or absence of CZS in their infants. Variations in the coding region of 205 candidate genes involved in cAMP signaling or immune response were assessed by high throughput sequencing and tested for association with development of CZS.

Results: From the 817 single nucleotide variations (SNVs) included in association analyses, 22 SNVs in 17 genes were associated with CZS under an additive model (alpha = 0.05). Variations c.319T>C (rs11676272) and c.1297G>A, located at ADCY3 and ADCY7 genes showed the most prominent effect. The association of ADCY3 and ADCY7 genes was confirmed using a Sequence Kernel Association Test to assess the joint effect of common and rare variations, and results were statistically significant after adjustment for multiple comparisons (P < 0.002).

Conclusion: These results suggest that maternal ADCY genes contribute to ZIKV pathogenicity and influence the outcome of CZS, being promising candidates for further replication studies and functional analysis.

Keywords: congenital malformations; gene polymorphism; infectious disease; virology; zika.

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Conflict of interest statement

Conflict of interest

The authors have nothing to disclose.

Figures

Fig. 1
Fig. 1
Manhattan plot showing the 817 single nucleotide variations (SNVs) included in the association analysis. SNVs were plotted according to chromosomal location (x axis), with [C0]log10 P values (y axis) derived from logistic regression analysis under an additive model. The horizontal dashed line indicates P = 0.05. Variations highlighted in red showed the most prominent associations among the 22 SNVs above the threshold.

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