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Hi, I am using the sim1000G R package to simulate data for case/control study. I can not figure out how to manipulate this code to be able to generate 10% or 50% causal SNPs in R. This is whole code provided as example on GitHub: library(sim1000G) vcf_file = "region-chr4-357-ANK2.vcf.gz" #nvariants = 442, ss=1000...

...head() functions on the data, and show us the results? (5) Is there a boolean-style variable in the data, indicating whether each row is casual or non-casual? B. On Fri, Oct 30, 2020 at 10:37 PM Berina Zametica UNI <s0bezame at uni-bonn.de> wrote: > > Hi, > > I am using the sim1000G R package to simulate data for case/control study. > I can not figure out how to manipulate this code to be able to generate 10% > or 50% causal SNPs in R. > > This is whole code provided as example on GitHub: > > library(sim1000G) > vcf_file = "region-chr4-357-ANK2.vcf.gz...