Skip to main content
. Author manuscript; available in PMC: 2021 May 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2020 Aug 27;29(11):2289–2299. doi: 10.1158/1055-9965.EPI-20-0824

Table 3.

Associations of BMI category at age 46 and BMI history with Bray Curtis, unweighted UniFrac, and weighted UniFrac distance matrices using MiKRAT models (n=563)

Beta diversity measure
Bray-Curtis Unweighted Unifrac Weighted Unifrac Omnibus
BMI Category P-Value P-Value P-Value P-Value
Obese vs. normal BMI* 0.0002 0.001 0.01 0.002
Overweight vs. normal BMI* 0.79 0.80 0.92 0.96
BMI History
History 4 vs. 1* 0.41 0.15 0.48 0.45
History 3 vs. 1* 0.16 0.13 0.18 0.34
History 2 vs. 1* 0.26 0.21 0.20 0.39
*

MiKRAT models adjusted for exact age, sex, and smoking status (never, former, current or missing), and BMI at age 46 (for history models only)

For statistically significant p-values (<0.05), after repeating the MiRKAT models with 10,000 permutations they remained statistically significant under the empirical null distribution of the test statistic