Examine the association of genetic polymorphisms with age at menarche (AAM) in Russian women. Study design: A total of 1613 Russian females were recruited for the study. Fifty two polymorphisms were analyzed for their association with AAM, height, and BMI. The associations were analyzed assuming the additive, dominant, and recessive models and using the loglinear regression as implemented in PLINK v. 2.050. The 2-, 3-, and 4-loci models of gene-gene interactions were analyzed using the MB-MDR method and validated by the permutation test. Main outcome measures: Genetic polymorphism rs6438424 3q13.32 was independently associated with AAM in Russian women. In addition, 14 SNPs were determined as possible contributors to this trait through gene-gene interactions. Results: The obtained results suggest that 14 out of 52 studied polymorphisms may contribute to AAM in Russian women. The rs6438424 3q13.32 polymorphism was associated with AAM according to both additive and dominant models (р perm = 0.005). In total 12 two-, three-, and four-locus models of gene-gene interactions were determined as contributing to AAM (p perm ≤ 0.006). Nine of the 14 AAM-associated SNPs are also associated with height and BMI (p perm ≤ 0.003). Among 14 AAM-associated SNPs (a priori all having regulatory significance), the highest regulatory potential was determined for rs4633 COMT, rs2164808 POMC, rs2252673INSR, rs6438424 3q13.32, and rs10769908 STK33. Eleven loci are cis-eQTL and affect expression of 14 genes in various tissues and organs (FDR < 0.05). The neuropeptide-encoding genes were overrepresented among the AAM-associated genes (p bonf = 0.039). Conclusions: The rs6438424 polymorphism is independently associated with AAM in Russian females in this study. The other 14 SNPs manifest this association through gene-gene interactions. in the later life. Early menarche may increase a risk for obesity (Guo and Ji, 2011), uterine myoma (Wise and Laughlin-Tommaso, 2016), endometriosis (Nnoaham et al., 2012), breast cancer (Yermachenko and Dvornyk, 2014), cardiovascular diseases (Feng et al., 2008), type 2 diabetes mellitus, infertility and psychological problems (Yermachenko and Dvornyk, 2014).
Age at menarche (AAM) is an important marker of the pubertal development and function of the hypothalamic–pituitary–ovarian system. It was reported as a possible factor for a risk of uterine leiomyoma (UL). However, while more than 350 loci for AAM have been determined by genome-wide association studies (GWASs) to date, no studies of these loci for their association with UL have been conducted so far. In this study, we analyzed 52 candidate loci for AAM for possible association with UL in a sample of 569 patients and 981 controls. The results of the study suggested that 23 out of the 52 studied polymorphisms had association with UL. Locus rs7759938 LIN28B was individually associated with the disease according to the dominant model. Twenty loci were associated with UL within 11 most significant models of intergenic interactions. Nine loci involved in 16 most significant models of interactions between single-nucleotide polymorphism (SNP), induced abortions, and chronic endometritis were associated with UL. Among the 23 loci associated with UL, 16 manifested association also with either AAM (7 SNPs) or height and/or body mass index (BMI) (13 SNPs). The above 23 SNPs and 514 SNPs linked to them have non-synonymous, regulatory, and expression quantitative trait locus (eQTL) significance for 35 genes, which play roles in the pathways related to development of the female reproductive organs and hormone-mediated signaling [false discovery rate (FDR) ≤ 0.05]. This is the first study reporting associations of candidate genes for AAM with UL.
Epoxyeicosatrienoic acids (EETs) are important vasoactive products of arachidonic acid metabolism with a wide range of biological actions in the cardiovascular system. The present study investigated whether single nucleotide polymorphisms (SNP) of genes coding cytochrome P450 2C subfamily, enzymes involved in biosynthesis of EETs, are associated with the risk of coronary heart disease (CHD). A total of 1255 unrelated Russian subjects comprising 561 patients with angiographically diagnosed CHD and 694 age- and sex-matched healthy subjects were included in the study. DNA samples from all study participants were genotyped for six common SNPs rs7909236, rs1934953 of CYP2C8, rs9332242, rs4918758 and rs61886769 of CYP2C9 and rs4244285 of CYP2C19 using by the Mass-ARRAY 4 system. SNP rs4918758 of CYP2C9 was associated with decreased risk of CHD (codominant model) at a borderline significance with odds ratio adjusted for sex and age 0.61 (95% CI: 0.41-0.92, P=0.038, Q=0.20). SNP rs9332242 of CYP2C9 showed a trend towards association with increased CHD risk in cigarette smokers (P=0.049, Q=0.29). Log-likelihood ratio test (LRT) pointed out epistatic interactions between rs9332242 and rs61886769 of CYP2C9 (codominant model, P=0.02), however, this P-value did not survive after correction for multiple tests. Bioinformatic analysis revealed a regulatory potential for a majority of the investigated SNPs. Our preliminary results demonstrate that polymorphisms of genes encoding CYP2C subfamily represent potential genetic markers of CHD susceptibility. Further studies are required to substantiate the contribution of these genes to the disease risk.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.