Table 2

Alpha-diversity analysis comparing obese and non-obese within cases and controls

TypeReference (Sample)Observed OTUsShannonP value
Linear (Est.)*P valueLinear (Est.)*
16S rRNA Baxter et al 11 (Stool)
Non-CRC-Ob vs Non-Ob −22.7560.0640.173 0.046
CRC-Ob vs CRC Non-Ob −1.2830.930−0.0590.564
Zackular et al 6 (Stool)
Non-CRC-Ob vs Non-Ob −36.7370.248−0.2400.217
CRC-Ob vs CRC Non-Ob 7.0060.8110.0530.794
Zeller et al (Stool)
Non-CRC - Ob v Non-Ob 86.434 0.049 −0.4550.051
CRC - Ob v CRC Non-Ob −42.6960.551−0.0200.953
Zeller et al (Tissue)
Non-CRC-Ob vs Non-Ob −14.3730.682−0.0190.949
CRC-Ob vs CRC Non-Ob −12.3890.6830.1400.690
WGS Vogtmann et al (Stool)
Non-CRC-Ob vs Non-Ob −25.0230.399−0.1650.372
CRC-Ob vs CRC Non-Ob −9.1870.698−0.0258.971
Feng et al 10 (Stool)
Non-CRC-Ob vs Non-Ob −27.2110.204−0.3270.085
CRC-Ob vs CRC Non-Ob 21.9470.3480.3890.183
Zeller et al (Stool)
Non-CRC-Ob vs Non-Ob −21.8770.1570.219 0.041
CRC-Ob vs CRC Non-Ob 3.5920.832−0.0310.813
  • Values in bold are significant at p<0.05.

  • *Linear modelling with BMI as continuous controlling for age and sex.

  • BMI, body mass index; CRC, colorectal cancer; WGS, whole genome sequencing.