How to create artificial or dummy phenotype data I have whole genome sequence (human) data (SNP data), but don't have phenotype data ready for any traits yet. Hopefully, I will get real phenotype data soon. To run GWAS (genome-wide-association study) or any other analysis, i want to create artificial/dummy data for any trait, let's say human height. Could anyone please recommend what is best option? Does plink generate any dummy phenotype data? or any other programme?
Using wakefield package it is pretty easy, here is an example from GitHub page. This will create 500 dummy variables for id, race, age, etc. :

library(wakefield)

myDummyPheno &lt;- r_data_frame(
  n = 500,
  id,
  race,
  age,
  sex,
  hour,
  iq,
  height,
  died
)

# result
myDummyPheno

# # A tibble: 500 x 8
#    ID    Race        Age Sex    Hour           IQ Height Died 
#   &lt;chr&gt;  &lt;fct&gt;     &lt;int&gt; &lt;fct&gt;  &lt;S3: times&gt; &lt;dbl&gt;  &lt;dbl&gt; &lt;lgl&gt;
#  1 001   Bi-Racial    27 Male   00:00:00     93.0   71.0 F    
#  2 002   White        28 Female 00:00:00    104     64.0 T    
#  3 003   Black        28 Male   00:00:00    111     67.0 T    
#  4 004   Hispanic     35 Male   00:00:00     90.0   67.0 T    
#  5 005   Hispanic     21 Female 00:00:00     94.0   70.0 T    
#  6 006   Black        35 Male   00:00:00     74.0   73.0 F    
#  7 007   Black        27 Male   00:00:00    102     68.0 T    
#  8 008   White        28 Female 00:00:00     95.0   70.0 F    
#  9 009   White        30 Female 00:00:00     80.0   71.0 F    
# 10 010   White        30 Female 00:00:00    114     66.0 T