After running MaAsLin2 on 271 samples with an abundance file containing 100+ taxa and a metadata file containing a 6 clinical covariates, our output results show some taxa associated with a single covariate, and several taxa associated with more than one clinical covariate at q< 0.05. Are these few significant covariates associated with the single taxon adjusted for confounders?
For example, taxon X shows statistical significance for association with covariate A, which is straightforward. On the other hand, taxon Y shows statistical significance for association with clinical covariates A, B and C. Does this mean that taxa Y is associated with covariate A after adjusting for confounders? And that this is the same for covariates B and C?
The fixed effects are gender, age group, tobacco use, periodontal index, dentate, and medication count.
Here is an example of our output results for a single taxon showing statistical significance for association with a few clinical covariates:
Thank you for your help!