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Association of single nucleotide polymorphism and haplotypes of the Leptine gen with the weight gain in a Creole colombian bovine breed using Bayesian techniques

Authors: Camacho, Ricardo Efraín; Gutiérrez, Andrés;

Association of single nucleotide polymorphism and haplotypes of the Leptine gen with the weight gain in a Creole colombian bovine breed using Bayesian techniques

Abstract

Este artículo expone una metodología bayesiana para el análisis de asociación de polimorfismos de nucleótido simple (SNP) y de haplotipos con una característica de interés en un contexto de producción animal. En la primera etapa del análisis, se propone un modelo lineal bayesiano para clasificar los SNPs que tienen efecto sobre el promedio del valor genético de la variable respuesta. En una segunda etapa, después de la identificación de los haplotipos compatibles con los genotipos de influencia en la primera etapa, se discute la aplicación de un modelo lineal general y de un modelo de regresión logística en la identificación de los haplotipos que presentan una mayor asociación con el aumento del valor genético. En ambas etapas, se siguen metodologías bayesianas y cuando es pertinente se incluyen métodos de simulación de Monte Carlo para generar cadenas de Markov cuya distribución estacionaria corresponda a la distribución posterior condicional de los parámetros de interés. La aplicación práctica está supeditada al área de producción animal en una raza bovina criolla colombiana, denominada como raza blanco orejinegro (BON).

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. 

Country
Colombia
Related Organizations
Keywords

análisis bayesiano, MCMC, haplotipos, SNPS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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