Table 1

Changes in BMI and WC by increases in AMY1-GRS across tertile categories of carbohydrate food intake

Outcomes and cohortsTertiles of carbohydrate food intakePinteraction
Tertile 1Tertile 2Tertile 3
β (SE)Pβ (SE)Pβ (SE)P
BMI changes
 NHS (n = 6,107)−0.09 (0.16)0.6−0.20 (0.13)0.130.08 (0.14)0.570.13
 HPFS (n = 4,621)0.17 (0.12)0.150.03 (0.13)0.84−0.09 (0.12)0.440.26
 ARIC (n = 6,515)−0.31 (0.11)0.005−0.08 (0.11)0.480.07 (0.1)0.470.019
 UK Biobank (n = 14,811)−0.11 (0.06)0.06−0.03 (0.06)0.650.08 (0.06)0.170.004
 Total*−0.1 (0.05)0.025−0.05 (0.04)0.280.05 (0.04)0.210.001
WC changes
 NHS (n = 6,107)−0.69 (0.64)0.28−0.06 (0.57)0.911.17 (0.58)0.0450.04
 HPFS (n = 4,621)0.47 (0.47)0.32−0.19 (0.45)0.67−0.09 (0.42)0.820.79
 ARIC (n = 6,515)−0.74 (0.36)0.038−0.26 (0.35)0.460.2 (0.32)0.530.056
 UK Biobank (n = 14,811)−0.57 (0.22)0.010.21 (0.22)0.340.15 (0.21)0.470.005
 Total*−0.48 (0.17)0.0040.03 (0.16)0.850.2 (0.16)0.2<0.001
  • β (SE) per 5-point increase in AMY1-GRS for the respective outcome using general linear model after adjusting for age, sex (in ARIC and UK Biobank), source of genotyping data (in NHS and HPFS), five ancestry principal components (in UK Biobank), Townsend Social Deprivation Index (in UK Biobank), education, smoking habit (never, former, or current), physical activity, total energy intake, total fat intake, alcohol consumption, and baseline value of the respective outcome.

  • * Meta-analyzed data.