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The genetic component of preeclampsia: A whole-exome sequencing study

Authors :
Anne-Mette Hvas
Mette Christiansen
Anette Tarp Hansen
Jens Magnus Bernth Jensen
Source :
Hansen, A T, Bernth Jensen, J M, Hvas, A-M & Christiansen, M 2018, ' The genetic component of preeclampsia : A whole-exome sequencing study ', PLOS ONE, vol. 13, no. 5, pp. e0197217 . https://doi.org/10.1371/journal.pone.0197217, Hansen, A T, Bernth Jensen, J M, Hvas, A-M & Christiansen, M 2018, ' The genetic component of preeclampsia : A whole-exome sequencing study ', PLOS ONE, vol. 13, no. 5, e0197217, pp. 1-16 . https://doi.org/10.1371/journal.pone.0197217, PLoS ONE, PLoS ONE, Vol 13, Iss 5, p e0197217 (2018)
Publication Year :
2018
Publisher :
Public Library of Science (PLoS), 2018.

Abstract

Preeclampsia is a major cause of maternal and perinatal deaths. The aetiology of preeclampsia is largely unknown but a polygenetic component is assumed. To explore this hypothesis, we performed an in-depth whole-exome sequencing study in women with (cases, N = 50) and without (controls, N = 50) preeclampsia. The women were identified in an unselected cohort of 2,545 pregnant women based on data from the Danish National Patient Registry and the Medical Birth Registry. Matching DNA was obtained from a biobank containing excess blood from routine antenatal care visits. Novogene performed the whole-exome sequencing blinded to preeclampsia status. Variants for comparison between cases and controls were filtered in the Ingenuity Variant Analysis software. We applied two different strategies; a disease association panel approach, which included variants in single genes associated with established clinical risk factors for preeclampsia, and a gene panel approach, which included biological pathways harbouring genes previously reported to be associated with preeclampsia. Variant variability was compared in cases and controls at the level of biological processes, signalling pathways, and in single genes. Regardless of the applied strategy and the level of variability examined, we consistently found positive correlations between variant numbers in cases and controls (all R2s>0.88). Contrary to what was expected, cases carried fewer variants in biological processes and signalling pathways than controls (all p-values ≤0.02). In conclusion, our findings challenge the hypothesis of a polygenetic aetiology for preeclampsia with a common network of susceptibility genes. The greater genetic diversity among controls may suggest a protective role of genetic diversity against the development of preeclampsia.

Details

ISSN :
19326203
Volume :
13
Database :
OpenAIRE
Journal :
PLOS ONE
Accession number :
edsair.doi.dedup.....efa0d6a240a3f55bbeb80ade49e41351
Full Text :
https://doi.org/10.1371/journal.pone.0197217