So, my question is quite simple but raises me a little doubt. I have a data like the following:
Patient Sex Age SNP1 SNP2 SNP3 SNP4 Outcome 1 M 56 TT CC AG AT 1 2 M 47 AT CG AA AA 0 3 F 85 AA GG AA AA 1 4 M 90 TT GG AG TT 0 5 M 75 TT GG AG TT 0 6 F 45 AA CC AG TT 0 7 F 80 AT CG GG AT 1 8 M 53 AT CG GG AT 1 9 M 54 AT CG AG AA 0 10 F 61 TT CC AG AT 1
It's a case-control study, so for
0 = Control and
1 = Case
For this data, I've performed Univariate logistic regression and multivariate logistic regression like the following:
SNP1 ~ Outcome SNP2 ~ Outcome SNP3 ~ Outcome SNP4 ~ Outcome SNP1 + Age ~ Outcome SNP2 + Age ~ Outcome SNP3 + Age ~ Outcome SNP4 + Age ~ Outcome
Also chi-square test was performed to compare alleles x Outcome in both groups.
So, the question here is simple... Should I correct my p-values considering SNPs isolated which would lead me to 3 tests for each SNP or should I correct by general number of tests? To clarify, SNPs are not related to each other!