Asociación de polimorfismos de nucleótido simple y de haplotipos para el gen de la Leptina con la ganancia de peso en la raza bovina blanco orejinegro usando técnicas bayesianas

This paper presents a Bayesian methodology for association study of single nucleotide polymorphism (SNP) and haplotypes with a special interest in animal production. In the first stage, we propose a Bayesian linear model to select the SNPs that have an effect on the average of the genetic value in the response variable. In a second stage, after the identification of haplotypes compatible with genotypes of influence in the first stage, we discuss the application of a general linear model and a logistic regression model in order to identify those haplotypes having a higher association with the increasing of genetic values. In both stages, Bayesian methodologies are used when appropriate and Monte Carlo simulation methods are implemented in order to generate Markov Chains whose stationary distribution corresponds to the conditional posterior distribution of the parameters of interest. The practical application is subject to animal production in a Colombian bovine breed. 

• Autores: Camacho, Ricardo Efraín; Gutiérrez, Andrés
• Fecha de publicación: 2012
• Institución: Universidad Santo Tomás
• Repositorio: Repositorio Institucional USTA
• Idioma: spa
• OAI Identifier: oai:repository.usta.edu.co:11634/39573
• Acceso en línea: https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/63; http://hdl.handle.net/11634/39573
• Palabra clave: análisis bayesiano; haplotipos; MCMC; SNPS
• License: http://purl.org/coar/access_right/c_abf2