mas-package | R Documentation |
Genome-wide association analysis that accommodate membership information, variance adjustment, and correlated responses.
The DESCRIPTION file:
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Alencar Xavier [aut, cre], Shizhong Xu [aut, ctb] Maintainer: Alencar Xavier <alenxav@gmail.com>
Wei, J. and Xu, S., 2016. A random-model approach to QTL mapping in multiparent advanced generation intercross (MAGIC) populations. Genetics, 202(2), pp.471-486.
Xavier, A. and Habier, D., 2022. A new approach fits multivariate genomic prediction models efficiently. Genetics Selection Evolution, 54(1), pp.1-15.
## Not run:
# load the toy dataset
data( soy )
# run gwas
fit1 = gwas(y[w], Z[w,], pop[w])
# adjust variances
fit2 = CorrectBeavis( fit1 )
# Compare before and after correction
plot( fit1, h2=TRUE, col=8, pch=20) # display QTL h2
plot( fit2, h2=TRUE, add=TRUE, pch=20, type='o') # adjusted QTL h2
legend('topleft',pch=16,col=c(8,1),c('Before correction','After Beavis correction'))
## End(Not run)
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