why individual 13291 NA07045 in 0.2_low_call_rate_pihat.txt about gwa_tutorial

[robertzeibich]

You should have a look into the pihat_min0.2.genome file to observe conflictions. Once you know the samples thatare highly related, you want to remove the one, which has the higher proportion of missing genotypes. How?
Based on my understanding, samples with a lower proportion of missing genotypes can be considered to have a better call rate. Thus, you need to use plink --bfile HapMap_3_r3_11 --missing again.
NA07045 has a higher proportion of missing genotypes and should therefore be removed.