رسالة جامعية
Análise de associação genômica ampla com múltiplas marcas: seleção e associação genômica ampla unificadas ; Analysis of the genome-wide association studies using multiple markers: unified genome-wide selection and association studies
| العنوان: | Análise de associação genômica ampla com múltiplas marcas: seleção e associação genômica ampla unificadas ; Analysis of the genome-wide association studies using multiple markers: unified genome-wide selection and association studies |
|---|---|
| المؤلفون: | Barbosa, Michele |
| المساهمون: | Balestre, Márcio, Pereira, Júlio César, Novaes, Evandro, Fernandes, Tales Jesus, Sáfadi, Thelma |
| بيانات النشر: | Universidade Federal de Lavras Programa de Pós-graduação em Estatística e Experimentação Agropecuária UFLA brasil Departamento de Estatística |
| سنة النشر: | 2019 |
| المجموعة: | Repositório Institucional da Universidade Federal de Lavras (RIUFLA) |
| مصطلحات موضوعية: | Seleção e Associação Genômica, Estrutura populacional, Estrutura de parentesco, Modelo linear misto, Inferência bayesiana, Associação do genoma, Seleção genômica, Genome Selection and Association Studies, Population structure, Parentage structure, Linear mixed model, Bayesian inference, Genome association, Genomic selection, Inferência Paramétrica |
| الوصف: | The Genome-Wide Selection (GWS) and Genome Wide Association Studies (GWAS) techniques have been routinely applied in interaction in breeding programs, especially for agronomic crops, which generates technological/scientific, economic, and human investments. Besides the efficiency of both techniques in selecting and detecting genes responsible for specific phenotypic characteristics, the GWS is an experimental approach that integrates quantitative genetics tools and emphasizes the prediction of the genetic effects of thousands of markers (SNPs). The purpose of the GWAS is to identify variations in the genome-wide DNA sequence associated with specific interesting phenotypic characteristics. The present work intends to unify both breeding programs strategic fronts (GWS and GWAS) in the same conceptual treatment. To do so, we implemented the Genome-Wide Selection Association Studies (GWSAS) using the mixed linear model to identify candidate regions for genes expressing a specific characteristic, considering the structure populational. One of the main differences between the methods used to estimate parameters and the method required for GWSAS is the characterization of the behavior of the conditional a posteriori distribution functions obtained by eliminating disturbing parameters. Therefore, we integrated such a function with the Bayesian inference method, ensuring the capacity to model population and parentage structures based on the estimation that captures the dynamics of molecular markers (in the context of genetic micro-information). In other words, the genomic covariance structure of the nucleus of the marginally conditional a posteriori distribution allowed us to raise the dependence and correlation information between the molecular markers, and intrinsically apprehend the identity by state (IBS) and identity by descent (IBD). We also proposed a solution for inverting the V k−1 matrix, changing variables and vector products to increase the computational facilities when using the MCMC techniques. Furthermore, ... |
| نوع الوثيقة: | thesis |
| وصف الملف: | application/pdf |
| اللغة: | Portuguese |
| العلاقة: | BARBOSA, M. Análise de associação genômica ampla com múltiplas marcas: seleção e associação genômica ampla unificadas. 2019. 206 p. Tese (Doutorado em Estatística e Experimentação Agropecuária)–Universidade Federal de Lavras, Lavras, 2019.; http://repositorio.ufla.br/jspui/handle/1/34383Test |
| الإتاحة: | http://repositorio.ufla.br/jspui/handle/1/34383Test |
| حقوق: | restrictAccess |
| رقم الانضمام: | edsbas.CEC29F6B |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |