Thank you very much.
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Dear all,
I'm going to do an association analysis of a set of common SNPs with some binary and quantitative traits, encompassing both related and unrelated individuals. As far as I know the package such as plink considered just unrelated samples, so it isn't appropriate for my case. Could you please let me know which package/tool you use in this situation?
Thanks
You can use GEMMA, which implements linear mixed models to correct for structures in your sample (relatedness and population stratification).
https://github.com/genetics-statistics/GEMMA/blob/master/README.md
In addition, I believe GCTA can do the same thing:
Thank you very much.
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