Symptoms to Bacteria Table

This new page, shows the pattern for Symptoms found with statistically significant correlation to some bacteria.


We do this by looking at all of the samples, sorting the values in order, then divide into 4 equal parts. From the equal parts we get boundaries. To check a condition, we take these boundaries and see how many fall into each. If there is no relationship, then the numbers in each of these 4 parts should be equal. If they are not, and are very different, we can compute the odds of this happening by random chance. If the computed odds is too low, we say that there is likely a real relationship involved. The Expected column is what we would expect to see in each of the 4 parts, it will help you see what is abnormally high or low (or both).

  • Looking at the first row, we see that no Health Issues is associated with most of these people having very low numbers of a specific Anaerotruncus species.
  • Further down, we see that a Dora Species tend to be clustered below average for Females. For Butyricimonas, there may be two pattern – one very low (31) and the other in the median high (22). Why is a matter of speculation.

You have the ability to look at different ranks of bacteria taxonomy, as well as the number of symptom combinations.

How does my Microbiome compare?

If you have uploaded your microbiome and are logged on, you will see your various samples listed. Picking one of them will show where you have a match.

The matches are to the highest frequency in the pattern. Your value is show in pink.

Remember – this is not PREDICTIVE. just showing associations.

Look at the matches and compare to your symptoms. If you have those symptoms THEN the bacteria is likely a significant player. You want to move your values towards the middle (increase or decrease).