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.vallejo@ars.usda.gov<mailto:roger.vallejo@ars.usda.gov>
http://www.ars.usda.gov/pandp/people/people.htm?personid=37662





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