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What is it?

Research output: Contribution to conferencePaperResearchpeer-review

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What is it? / de los Campos, Gustavo; Sorensen, Daniel; Gianola, Daniel.

2014. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.

Research output: Contribution to conferencePaperResearchpeer-review

Harvard

de los Campos, G, Sorensen, D & Gianola, D 2014, 'What is it?', Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada, 17/08/2014 - 22/08/2014.

APA

de los Campos, G., Sorensen, D., & Gianola, D. (2014). What is it?. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.

CBE

de los Campos G, Sorensen D, Gianola D. 2014. What is it?. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.

MLA

de los Campos, Gustavo, Daniel Sorensen and Daniel Gianola What is it?. 10th World Congress on Genetics Applied to Livestock Production (WCGALP), 17 Aug 2014, Vancouver, Canada, Paper, 2014. 3 p.

Vancouver

de los Campos G, Sorensen D, Gianola D. What is it?. 2014. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.

Author

de los Campos, Gustavo ; Sorensen, Daniel ; Gianola, Daniel. / What is it?. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.3 p.

Bibtex

@conference{b90b75b14e1c4ebfa1373145859424c1,
title = "What is it?",
abstract = "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.",
author = "{de los Campos}, Gustavo and Daniel Sorensen and Daniel Gianola",
year = "2014",
month = aug,
day = "17",
language = "English",
note = "10th World Congress on Genetics Applied to Livestock Production (WCGALP), WCGALP ; Conference date: 17-08-2014 Through 22-08-2014",

}

RIS

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 -