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
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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