Hi,
I am runing on an cell type interaction eQLT analysis with interaction mode, but the tensorqtil only report the BH adjusted FDR for the top association eVariant for each gene(I checked the table s1 of the SCIENCE paper, there also only reported the top eVariants), so I can not get the statistical significance of other variants in the 1M windows, especially the variants in high LD blocks with the top eVariants. If there any method to get a nominal p value threshold for each gene just like the FastQTL do?
Hi, I am runing on an cell type interaction eQLT analysis with interaction mode, but the tensorqtil only report the BH adjusted FDR for the top association eVariant for each gene(I checked the table s1 of the SCIENCE paper, there also only reported the top eVariants), so I can not get the statistical significance of other variants in the 1M windows, especially the variants in high LD blocks with the top eVariants. If there any method to get a nominal p value threshold for each gene just like the FastQTL do?
Best, Tian Wen