Published July 7, 2020 | Version SVS MacOSX 8.8.3 (2018-11-29)
Dataset Restricted

Data set and results of regression analysis of gene variants in Prostate Cancer patients from Mexico-mestizo population.

  • 1. Departamento de Bioquímica y Medicina Molecular, Facultad de Medicina, Universidad Autónoma de Nuevo León
  • 2. Departamento de Genética, Facultad de Medicina, Universidad Autónoma de Nuevo León
  • 3. Delee Corp
  • 4. Servicio de Anatomía Patológica y Citopatología, Hospital Universitario "Dr. José Eleuterio González", Universidad Autónoma de Nuevo León
  • 5. Centro Universitario Contra el Cáncer, Hospital Universitario "Dr. José Eleuterio González", Universidad Autónoma de Nuevo León
  • 6. Servicio de Urología, Hospital Universitario "Dr. José Eleuterio González", Universidad Autónoma de Nuevo León
  • 7. Departamento de Bioquímica y Medicina Molecular, Facultad de Medicina, Universidad Autónoma de Nuevo León.
  • 1. Departamento de Bioquímica y Medicina Molecular, Facultad de Medicina, Universidad Autónoma de Nuevo León
  • 2. Departamento de Genética, Facultad de Medicina, Universidad Autónoma de Nuevo León
  • 3. Servicio de Urología, Hospital Universitario "Dr. José Eleuterio González", Universidad Autónoma de Nuevo León
  • 4. Servicio de Anatomía Patológica y Citopatología, Hospital Universitario "Dr. José Eleuterio González", Universidad Autónoma de Nuevo León

Description

Genotyping assays were performed using TaqMan SNP Genotyping Assays probes C_27532228_20 and C_2362601_10 (Life Technologies, Carlsbad, CA, USA).

Thermalcycler: StepOnePlus™ Real-Time PCR (Thermo Fisher Scientific, Waltham, MA, USA).

Sample: genomic DNA from blood.

Subjects: Prostate cancer patients and controls (healthy and benign prostatic hyperplasia). 

Results of Regression Anlysis for clinical features of gene SRD5A2 variants (rs9282858 and rs523349) in prostate cancer patients from Mexican-mestizo population.

Starting with the full model, successive models are created, each one using one less regressor (or covariate) than the previous model. Each of the regressors currently in the model is removed to create a "trial" model excluding that regressor. The p-value of the current model (or full model) versus the trial model (or reduced model) is calculated, and the model with the smallest p-value is used as the next model. This method removes the least significant variable from the current model. If every p-value is smaller than the p-value cut off specified, the backward elimination method stops. The method also stops if all variables have been removed from the model, or if all variables left are included in the original reduced model. From the standpoint of further analysis, the final model becomes the "full model" for this set of potential regressors

Ethics approval and consent to participate in the study: The protocol and informed consent were approved by the Ethics and Research Committee of the School of Medicine (Universidad Autonoma de Nuevo Leon), with registration number UR16-00007. In the data set, no data was included that compromises the confidentiality of the participating subjetcs.

 

Notes

The present study was supported by the program for scientific and technological research (PAICyT: SA763-19) 2019 of the Universidad Autonoma de Nuevo Leon.

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

-For Journal reviewers.

-Reference for meta-analysis of the other similar gene studies.

You are currently not logged in. Do you have an account? Log in here