Closed SheaCheng2000 closed 1 year ago
Hi Shea,
We don't have any P-value adjustment method when calculate the P-value of Burden or SKAT in SAIGE-GENE.
Thanks, Wei
Got it :) Thanks!
Hi,
May I ask another question about P-value :)
When you calculated P-value, you used one-tailed test, right? I am not so good at statistics, just extrapolated from your code pchisq(...,lower.tail=False)
. From the R documentation, "lower.tail=False" means probability P[X>x]
In my understanding, the essence of p-value calculation in burden test of one certain gene/region should be a 2*2 chi-square test (case vs control and observed vs expected). From the plot and formula of chi-square(df=1), it should be one-tailed. Did I understand it correctly?
Thanks again, Shea
Hi Shea,
Yes your understanding is correct expect that in the mode we use, covariates are included, while accounting for sample relatedness and unbalanced case control ratios.
Thanks, Wei
Hi,
Did you use P-value adjustment method (e.g., false discovery rate) when you calculate the P-value of Burden or SKAT in SAIGE-GENE?
Thanks, Shea