Faculty of Technical Sciences

TY - CONF

T1 - What is it?

AU - de los Campos, Gustavo

AU - Sorensen, Daniel

AU - Gianola, Daniel

N1 - Conference code: 10th

PY - 2014/8/17

Y1 - 2014/8/17

N2 - Whole-genome regression models have become ubiquitous for analysis and prediction of complex traits. In human genetics, these methods are commonly used for inferences about genetic parameters. This is so despite the fact that some of the assumptions commonly adopted for data analysis are at odds with important quantitative genetic principles. In this article we develop theory that leads to a precise definition of parameters arising in regression models using genomic data. Our approach is framed within the classical quantitative genetics paradigm. We discuss how these parameters relate to statistical parameters, indicate potential inferential problems and provide a limited set of simulations where some statistical properties of likelihood-based estimates are assessed.

AB - Whole-genome regression models have become ubiquitous for analysis and prediction of complex traits. In human genetics, these methods are commonly used for inferences about genetic parameters. This is so despite the fact that some of the assumptions commonly adopted for data analysis are at odds with important quantitative genetic principles. In this article we develop theory that leads to a precise definition of parameters arising in regression models using genomic data. Our approach is framed within the classical quantitative genetics paradigm. We discuss how these parameters relate to statistical parameters, indicate potential inferential problems and provide a limited set of simulations where some statistical properties of likelihood-based estimates are assessed.

UR - https://event.crowdcompass.com/wcgalp2014/activity/D5ZwXrQgbz

M3 - Paper

T2 - 10th World Congress on Genetics Applied to Livestock Production (WCGALP)

Y2 - 17 August 2014 through 22 August 2014

ER -