Dear R Users,
I have always used ASReml, MTDFREML, SAS, etc. to estimate genetic correlation 
(Rg) between two continuous quantitative traits (also continuous and binary 
trait) but I have never used R package to estimate Rg. However, I use R package 
for many of my other statistical analysis needs. The R package is a great tool 
that has advanced to a level that now we can estimate whole genome-enabled 
breeding values in genomic selection research. So, with the aim of moving out 
of those packages (listed above) which are either expensive or have little 
support, I would like to know if we can estimate Rg between two binary traits 
(disease status: alive vs. dead) with the R package.

My data: we have 100 full-sib (FS) families, and two random samples (each with 
n= 200 FS fish) from each FS family were evaluated for resistance response to 
two different bacterial diseases, separately. It implies that both traits are 
not recorded in the same individual; each trait is recorded in different groups 
of full-sibs (random sampled from a FS family). So using this family 
relationship (full-sibs), I would like to estimate the Rg between these two 
disease resistance traits; of course I would like to estimate Rg with the R 
package. I will appreciate having directions on which R package to use if any, 
or combination of R functions needed to use to calculate the Rg (between two 
binary traits; disease survival traits).
Thank you very much in advance for your help.
Roger


Roger L. Vallejo, Ph.D.
U.S. Department of Agriculture, ARS, NCCCWA
Voice:  (304) 724-8340 Ext. 2141
Email:  roger.vall...@ars.usda.gov<mailto:roger.vall...@ars.usda.gov>
http://www.ars.usda.gov/pandp/people/people.htm?personid=37662





This electronic message contains information generated by the USDA solely for 
the intended recipients. Any unauthorized interception of this message or the 
use or disclosure of the information it contains may violate the law and 
subject the violator to civil or criminal penalties. If you believe you have 
received this message in error, please notify the sender and delete the email 
immediately.

        [[alternative HTML version deleted]]

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to