Is this approach equivalent to including a dominance covariate?
Answered	anonymous	11:19:50

how is the variance of binary traits calculated?
Answered	Anonymous	11:22:42

Do you fit the logistic regression for binary trait?
If so, why there are residual in the model?

If it is linear regression, can you explain the reason for running linear regression on binary 
trait? 	Answered	Anonymous	11:24:33

Does this VLA require the balance of case and control?
Answered	Anonymous	11:25:23

Wouldn't it be better to use logistic model for binary traits?
Archived	Anonymous	11:26:11

Please can you comment on how your results different from Wang et al. (2019 Science Advances), where authors also examine GXE in UKBB	Archived	Yang Luo (HMS)	11:26:20

Is your variance loci analysis analogous to the known difference in looking at GxE interactions on the multiplicative vs additive scale?	Archived	Anonymous	11:26:27

Are the results of the method in UKBB currently available?	Answered	Andrew Paterson	11:26:30

For binary trait in UKBB, have you tried converting the trait to liability threshold accounting for family history (Hujoel et al; Nat Gen) and then running the standard variance method on the transformed variables?
Answered	Anonymous	11:26:41

How do you think about the role of transformation or normality of continuous phenotypes for VLA testing?
Archived	Kenny Westerman	11:27:29

Do you see a stronger enrichment for known GxE interactions in vQTL identified using your approach?
Archived	Anonymous	11:28:22

The VLA Catalog is available here: https://genelist.niehs.nih.gov/vla/	Live	Anonymous	11:28:29

Do you already have a preprint of this method?	Archived	Anonymous	11:28:51

is VLA affected by high case-control imbalance (when testing rarer variants)?
Archived	Anonymous	11:40:00