Risk of Recurrent Pregnancy Loss in the Ukrainian Population Using a Combined Effect of Genetic Variants: A Case-Control Study
Autor: | Eleni M. Loizidou, Oleksandra Gorodna, Iryna Vorobiova, R. V. Gulkovskyi, G. B. Livshyts, L. A. Livshits, Yurii Antipkin, Inga Prokopenko, Pavlo Tatarskyy, Sergey Chernushyn, Anastasia Kucherenko, Marika Kaakinen |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Adult
0301 basic medicine Oncology Abortion Habitual medicine.medical_specialty Genotyping Techniques lcsh:QH426-470 Population Polymorphism Single Nucleotide Risk Assessment genetic risk score Article 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Pregnancy Internal medicine Genetics medicine Humans Genetic Predisposition to Disease education Genetics (clinical) Genetic association education.field_of_study 030219 obstetrics & reproductive medicine recurrent pregnancy loss Receiver operating characteristic biology business.industry Area under the curve Case-control study Odds ratio medicine.disease 3. Good health lcsh:Genetics 030104 developmental biology ROC Curve Case-Control Studies Methylenetetrahydrofolate reductase biology.protein Female Ukraine business |
Zdroj: | Genes, Vol 12, Iss 64, p 64 (2021) Genes Volume 12 Issue 1 |
ISSN: | 2073-4425 |
Popis: | 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&minus 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. |
Databáze: | OpenAIRE |
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