Bayesian modelling of multivariate quantitative traits using seemingly unrelated regressions.

doi:10.1002/gepi.20072

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Article

Bayesian modelling of multivariate quantitative traits using seemingly unrelated regressions.

Genetic epidemiology - 1 May 2005

Verzilli Claudio J, Stallard Nigel, Whittaker John C

Abstract excerpt

We investigate a Bayesian approach to modelling the statistical association between markers at multiple loci and multivariate quantitative traits. In particular, we describe the use of Bayesian Seemingly Unrelated Regressions (SUR) whereby genotypes at the different loci are allowed to have non-simultaneous effects on the phenotypes considered with residuals from each regression assumed correlated. We present...

Topics

Algorithms
Anticholesteremic Agents
Apolipoproteins E
Atorvastatin
Bayes Theorem
Cholesterol
Cholesterol, LDL
Computer Simulation
Genotype
Heptanoic Acids
Humans
Models, Genetic
Models, Statistical
Multivariate Analysis
Phenotype
Polymorphism, Single Nucleotide
Pyrroles
Quantitative Trait Loci

Source

Open in PubMed

Identifiers

PMID: 15789447
DOI: 10.1002/gepi.20072

Genes

APOE

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 30 Aug 2026.

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