Familial Predisposition to Leiomyomata: Searching for Protective Genetic Factors

5Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

Abstract

In order to determine genetic loci associated with decreasing risk of uterine leiomyomata (UL), a genome-wide association study (GWAS) was performed. We analyzed a group of patients with a family history of UL and a control group consisting of patients without uterine fibroids and a family predisposition to this pathology. Six significant single nucleotide polymorphisms were selected for PCR-genotyping of a large data set of patients with UL. All investigated loci (rs3020434, rs11742635, rs124577644, rs12637801, rs2861221, and rs17677069) demonstrated the lower frequency of minor alleles within a group of women with UL, especially in a subgroup consisting of patients with UL and a familial history of leiomyomata. We also found that the minor allele frequencies of these SNPs in our control group were higher than those across the Caucasian population in all. Based on the obtained data, an evaluation of the common risk of UL was performed. Further work will pave the way to create a specific SNP-panel and allow us to estimate a genotype-based leiomyoma incidence risk. Subsequent studies of genetic variability in a group of patients with a familial predisposition to UL will allow us to make the prediction of the development and course of the disease more individualized, as well as to give our patients personalized recommendations about individual reproductive strategies.

Cite

CITATION STYLE

APA

Kuznetsova, M. V., Sogoyan, N. S., Donnikov, A. J., Trofimov, D. Y., Adamyan, L. V., Mishina, N. D., … Sukhikh, G. T. (2022). Familial Predisposition to Leiomyomata: Searching for Protective Genetic Factors. Biomedicines, 10(2). https://doi.org/10.3390/biomedicines10020508

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free