This is a test version of Biostars. For the public version, visit https://www.biostars.org.
Power of an association study / GWAS

Hi there,

I came across this chunk of text in this paper:

The power of association studies is dependent on the variance
explained by a locus; thus, for a disease that affects 1% of the
population, we have the same power to detect a risk locus of 50%
frequency and odds ratio of 1.1 as we do for a risk locus of 0.1%
frequency and odds ratio of 2.9. Thus, sample size -not genotyping
technology- is the limiting factor in associated/ causal variant
discovery

So the question is: Which is the formula should I use to obtain the power? This is, just by using those 3 parameters:

  1. allele frequency,
  2. effect size and
  3. prevalence of the disease: which is the mathematical formula to obtain the power of an study to detect a particular association?

I know there is some software out there (CaTS, GWAS.PC...) But I am not sure they only need these parameters as input. Also, if someone has experience in calculating power using these or other command line software, any tip would be appreciated. ;)

Thank you so much!

gwas statistics power genetic epidemiology

As this is a pure statistics question, you will likely receive a comprehensive response on StackExchange. Whilst many bioinformaticians can 'do' stats, what your asking should only be answered by a statistician.

Great - hope that you receive a good answer there!

0 answers

No answers yet.

Log in to answer this question.