Rapid screening for phenotype-genotype associations by linear transformations of genomic evaluations.

ABSTRACT:

Background

Currently, association studies are analysed using statistical mixed models, with marker effects estimated by a linear transformation of genomic breeding values. The variances of marker effects are needed when performing the tests of association. However, approaches used to estimate the parameters rely on a prior variance or on a constant estimate of the additive variance. Alternatively, we propose a standardized test of association using the variance of each marker effect, which generally differ among each other. Random breeding values from a mixed model including fixed effects and a genomic covariance matrix are linearly transformed to estimate the marker effects.

Results

The standardized test was neither conservative nor liberal with respect to type I error rate

SUBMITTER: Gualdron Duarte JL 

PROVIDER: S-EPMC4112210 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature