Investigation of HOTAIR rs12826786, rs920778 and rs4759314 Variants With Breast Cancer Susceptibility and Clinicopathological Characteristics in a Mexican Population.

Background: Breast cancer (BC) is a multifactorial disease of unknown etiology whose major risk factors are genetic alterations of cell proliferation and migration pathways. HOX transcript antisense RNA gene (HOTAIR) is a long noncoding RNA (lncRNA) related to cell proliferation, progression, invasion, metastasis, and poor survival of multiple cancers, including BC. Controversial results have emerged on the association between breast cancer risk in multiple ethnicities.

Association Between the rs13306703 and rs8192288 Variants of the Gene and Breast Cancer and an In Silico Analysis of the Variants' Impact.

This study investigated the association between the rs13306703 and rs8192288 variants of the superoxide dismutase 3 () gene and breast cancer (BC) in the Mexican population, conducting both genetic and in silico analyses. 357 healthy women and 386 BC patients were studied using TaqMan assays, qPCR, and RFLP-PCR. The genotype and a recessive pattern of these variants were risk factors for BC ( < 0.

Method for Predicting Pathogenic Missense Variants Using Online Tools: AURKA Gene as a Model.

Background: analysis provides a fast, simple, and cost-free method for identifying potentially pathogenic single nucleotide variants.

Objective: To propose a simple and relatively fast method for the prediction of variant pathogenicity using free online (IS) tools with gene as a model.

Materials And Methods: We aim to propose a methodology to predict variants with high pathogenic potential using computational analysis, using gene as model.

Methodological and Statistical Considerations for Cross-Sectional, Case-Control, and Cohort Studies.

Epidemiological studies are essential in medicine and public health as they help identify risk factors and causes of diseases. Additionally, they are key to planning, implementing, and evaluating health interventions aimed at preventing and controlling the spread of diseases. Among these studies, analytical observational studies, such as cross-sectional, case-control, and cohort studies, are the most used.