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Risk of Recurrent Pregnancy Loss in the Ukrainian Population Using a Combined Effect of Genetic Variants: A Case-Control Study
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 lea...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824779/ https://www.ncbi.nlm.nih.gov/pubmed/33466305 http://dx.doi.org/10.3390/genes12010064 |
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author | Loizidou, Eleni M. Kucherenko, Anastasia Tatarskyy, Pavlo Chernushyn, Sergey Livshyts, Ganna Gulkovskyi, Roman Vorobiova, Iryna Antipkin, Yurii Gorodna, Oleksandra Kaakinen, Marika A. Prokopenko, Inga Livshits, Ludmila |
author_facet | Loizidou, Eleni M. Kucherenko, Anastasia Tatarskyy, Pavlo Chernushyn, Sergey Livshyts, Ganna Gulkovskyi, Roman Vorobiova, Iryna Antipkin, Yurii Gorodna, Oleksandra Kaakinen, Marika A. Prokopenko, Inga Livshits, Ludmila |
author_sort | Loizidou, Eleni M. |
collection | PubMed |
description | 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 × 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. Ιmplementation 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. |
format | Online Article Text |
id | pubmed-7824779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78247792021-01-24 Risk of Recurrent Pregnancy Loss in the Ukrainian Population Using a Combined Effect of Genetic Variants: A Case-Control Study Loizidou, Eleni M. Kucherenko, Anastasia Tatarskyy, Pavlo Chernushyn, Sergey Livshyts, Ganna Gulkovskyi, Roman Vorobiova, Iryna Antipkin, Yurii Gorodna, Oleksandra Kaakinen, Marika A. Prokopenko, Inga Livshits, Ludmila Genes (Basel) Article 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 × 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. Ιmplementation 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. MDPI 2021-01-05 /pmc/articles/PMC7824779/ /pubmed/33466305 http://dx.doi.org/10.3390/genes12010064 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Loizidou, Eleni M. Kucherenko, Anastasia Tatarskyy, Pavlo Chernushyn, Sergey Livshyts, Ganna Gulkovskyi, Roman Vorobiova, Iryna Antipkin, Yurii Gorodna, Oleksandra Kaakinen, Marika A. Prokopenko, Inga Livshits, Ludmila Risk of Recurrent Pregnancy Loss in the Ukrainian Population Using a Combined Effect of Genetic Variants: A Case-Control Study |
title | Risk of Recurrent Pregnancy Loss in the Ukrainian Population Using a Combined Effect of Genetic Variants: A Case-Control Study |
title_full | Risk of Recurrent Pregnancy Loss in the Ukrainian Population Using a Combined Effect of Genetic Variants: A Case-Control Study |
title_fullStr | Risk of Recurrent Pregnancy Loss in the Ukrainian Population Using a Combined Effect of Genetic Variants: A Case-Control Study |
title_full_unstemmed | Risk of Recurrent Pregnancy Loss in the Ukrainian Population Using a Combined Effect of Genetic Variants: A Case-Control Study |
title_short | Risk of Recurrent Pregnancy Loss in the Ukrainian Population Using a Combined Effect of Genetic Variants: A Case-Control Study |
title_sort | risk of recurrent pregnancy loss in the ukrainian population using a combined effect of genetic variants: a case-control study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824779/ https://www.ncbi.nlm.nih.gov/pubmed/33466305 http://dx.doi.org/10.3390/genes12010064 |
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