RESUMEN
OBJECTIVE: The prevalence of frailty has been related to menopause. Our main objective was to investigate whether single nucleotide polymorphisms (SNPs) of the estrogen receptor (ER) ERα and ERß genes were related to the frailty phenotype in a population of community-dwelling postmenopausal women. METHODS: A cross-sectional study was performed in which we selected five SNPs, three in the ERα gene and two in the ERß. Linear regression was used to estimate the percentage of phenotypic variance after adjusting for confounding variables. RESULTS: A total of 470 women (mean ± standard deviation age 63.83 ± 8.16 years) were included, of whom 137 women were frail. The SNP rs3798577 of the ERα gene was the only variant associated with frailty, but this significance faded in the multivariant analysis. Body mass index (p = 0.012), number of comorbidities (0 vs. ≥2, p = 0.002) and two reproductive variables, number of miscarriages (none vs. ≥2, p = 0.036) and of childbirths (one vs. ≥3, p = 0.008), were independently related to frailty. CONCLUSION: The five SNPs of the ERα and ERß genes tested were not correlated with frailty. Other SNPs of the ER warrant analysis to clarify whether variance in the gene response affects frailty status.
Asunto(s)
Receptor alfa de Estrógeno , Receptor beta de Estrógeno , Fragilidad , Posmenopausia , Anciano , Femenino , Humanos , Persona de Mediana Edad , Alelos , Estudios Transversales , Receptor alfa de Estrógeno/genética , Receptor beta de Estrógeno/genética , Fragilidad/genética , Modelos Lineales , Fenotipo , Polimorfismo de Nucleótido Simple , Posmenopausia/genéticaRESUMEN
BACKGROUND: In recent years, the identification of genetic and phenotypic biomarkers of cancer for prevention, early diagnosis and patient stratification has been a main objective of research in the field. Different multivariable models that use biomarkers have been proposed for the evaluation of individual risk of developing breast cancer. METHODS: This is a case control study based on a population-based cohort. We describe and evaluate a multivariable model that incorporates 92 Single-nucleotide polymorphisms (SNPs) (Supplementary Table S1) and five different phenotypic variables and which was employed in a Spanish population of 642 healthy women and 455 breast cancer patients. RESULTS: Our model allowed us to stratify two groups: high and low risk of developing breast cancer. The 9th decile included 1% of controls vs 9% of cases, with an odds ratio (OR) of 12.9 and a p-value of 3.43E-07. The first decile presented an inverse proportion: 1% of cases and 9% of controls, with an OR of 0.097 and a p-value of 1.86E-08. CONCLUSIONS: These results indicate the capacity of our multivariable model to stratify women according to their risk of developing breast cancer. The major limitation of our analysis is the small cohort size. However, despite the limitations, the results of our analysis provide proof of concept in a poorly studied population, and opens up the possibility of using this method in the routine screening of the Spanish population.