Question on Bonferroni correction

Question

[brunobsouzaa]

Hi Everyone.

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 Outcome, 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!

Thanks.

[Kevin Blighe]

May be more appropriate for CrossValidated StackExchange. However, I recall searching for information on a similar question and I found conflicting answers about how to perform p-value adjustment in this scenario.