Power calculation for GWAS/EWAS

I want to investigate, how much sample size i needed to obtain 80% power for GWAS/EWAS studies. Phynotype trait is discrete (not case/control) for human disease.

I wonder, does anyone has came across this? Really appreciate any suggestion or any tool/software which can answer this?

• Might be worth having a look at this website: csg.sph.umich.edu/abecasis/gas_power_calculator Aug 5 '20 at 14:18
• thanks, but this if for case/control only. Our study is NOT case/control. Any other suggestion? Aug 5 '20 at 14:22
• OK - could you edit your question to include some more details about the study you are planning (i.e. quantitative/discrete traits, species, intended outcome etc) and it might make it easier for people to give a good answer to your question. cheers. Aug 5 '20 at 14:24
• I just Edited the question. Aug 5 '20 at 14:34
• Do you mean continuous? If it's discrete and there are only two conditions, then the power calculations should be the same as for a case/control study.
– gringer
Aug 5 '20 at 21:45

Interesting question I would recommend the effective population size $$N_{e}$$, and error bars around this. Ne can be calculated via $$F_{st}$$ and is perhaps the most important parameter to determine the genetic population size.
Under the Fisher definition $$N_{e}$$ is the number of breeding individuals in the population.
The central issue with the approach you are suggesting is that population size does not equate to genetic population size. Thus the population could be huge, but if it is genetically homogeneous it will appear very small. In contrast the number of individuals could be very small, but the genetic variation between between them very large so $$N_{e}$$ would be huge.