# Dixon test for outlier but which one is an outlier?

Following my previous question, I used Dixon test for outliers with the help of Michael Chernick answer. So now I have pvalues for say 10 numbers (basically 10 patients). But I have around 50k pvalues and I want to know that which patient has an outlier. Example-

chr     start.position    stop.pos     pvalue    pat1     pat2  pat3 ...
1              10         110            0.03      3     3      7
2              100        200            0.006   0.3     4      5


So I have around 50k rows in this format. So my first step is, I will take all the rows which have significant pvalues (lets say, less than 0.05). Ok, now I know which positions contain outliers but my next step is, which patient is an outlier?

Like in aforementioned example, I can say that for first row (first position), patient3 is an outlier and in second row, I can see patient1 is an outlier.For less number of positions, I can easily see the outlier but what if I have so many rows? Is there any way to find this thing? I am also ready for applying any other test or any other procedure to detect this.