4.6 Article

Risk of Recurrent Pregnancy Loss in the Ukrainian Population Using a Combined Effect of Genetic Variants: A Case-Control Study

Journal

GENES
Volume 12, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/genes12010064

Keywords

recurrent pregnancy loss; genetic risk score

Funding

  1. Wellcome Trust [WT205915/Z/17/Z]
  2. European Union [H2020-SC1-2019-874739, H2020-PHC-2014-633595]
  3. Ministry of Science and Higher Education of Russian Federation [2020-220-08-2197]
  4. Royal Society [IEC nR2 n181075]
  5. European Foundation for the Study of Diabetes (EFSD) Albert Renold Travel Fellowship

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The study demonstrated that a genetic risk score calculated from 12 genetic variants is associated with an increased risk of recurrent pregnancy loss. The implementation of this approach can help identify women at higher risk of complex conditions like RPL. Future genome-wide association studies will further improve our understanding of biological pathways related to RPL.
We assessed the predictive ability of a combined genetic variant panel for the risk of recurrent pregnancy loss (RPL) through a case-control study. Our study sample was from Ukraine and included 114 cases with idiopathic RPL and 106 controls without any pregnancy losses/complications and with at least one healthy child. We genotyped variants within 12 genetic loci reflecting the main biological pathways involved in pregnancy maintenance: blood coagulation (F2, F5, F7, GP1A), hormonal regulation (ESR1, ADRB2), endometrium and placental function (ENOS, ACE), folate metabolism (MTHFR) and inflammatory response (IL6, IL8, IL10). We showed that a genetic risk score (GRS) calculated from the 12 variants was associated with an increased risk of RPL (odds ratio 1.56, 95% CI: 1.21, 2.04, p = 8.7 x 10(-4)). The receiver operator characteristic (ROC) analysis resulted in an area under the curve (AUC) of 0.64 (95% CI: 0.57, 0.72), indicating an improved ability of the GRS to classify women with and without RPL. Iota mplementation of the GRS approach can help define women at higher risk of complex multifactorial conditions such as RPL. Future well-powered genome-wide association studies will help in dissecting biological pathways previously unknown for RPL and further improve the identification of women with RPL susceptibility.

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