Bayesian diagnostic analysis for quantitative traitlocimapping
| Autor: | Júlia Maria Pavan Soler, Luis Aparecido Milan, Daiane Aparecida Zuanetti, José Eduardo Krieger |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
0303 health sciences Epidemiology Bayesian probability food and beverages Regression analysis Computational biology Quantitative trait locus Biology Residual 01 natural sciences 010104 statistics & probability 03 medical and health sciences Health Information Management Diagnostic analysis 0101 mathematics 030304 developmental biology |
| Zdroj: | Statistical Methods in Medical Research. 29:2238-2249 |
| ISSN: | 1477-0334 0962-2802 |
| DOI: | 10.1177/0962280219888950 |
| Popis: | QTL mapping is an important tool for identifying regions in chromosomes which are relevant to explain a response of interest. It is a special case of the regression model where an unknown number of missing (non-observable) covariates is involved leading to a complex variable selection procedure. Although several methods have been proposed to identify QTLs and to estimate parameters in the associated model, minimum attention has been devoted to the estimated model adequacy. In this paper, we present an overview of a few methods for residual and diagnostic analysis in the context of Bayesian regression modeling and adapt them to work with QTL mapping. The motivation of this study is to identify QTLs associated with the blood pressure of F2 rats and check the fitted model adequacy. |
| Databáze: | OpenAIRE |
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