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. 2018 May 3;1:36. doi: 10.1038/s42003-018-0042-6

Table 3.

Associations between the four risk-taking loci that were genome-wide significant signals for BMI and  diet-related traits

Variant Implicated gene BMI TV snacking Home-cooked meals Skipping breakfast Energy (kcal/day)
Beta (SE) P value Beta (SE) P value Beta (SE) P value Beta (SE) P value Beta (SE) P value
rs891124 CALB2 0.01 (0.002) 3.5 × 10−10 0.12 (0.05) 0.02* 0.04 (0.03) 0.21 0.01 (0.03) 0.86 3.86 (11.0) 0.73
rs35914833 PRIMA1 0.02 (0.002) 5.3 × 10−14 −0.05 (0.05) 0.34 −0.03 (0.03) 0.33 −0.04 (0.03) 0.20 30.3 (11.0) 0.01*
rs6762267 CADM2 0.02 (0.002) 1.7 × 10−15 0.09 (0.05) 0.07 0.02 (0.03) 0.45 −0.03 (0.03) 0.36 12.3 (10.2) 0.23
rs7817124 ZBTB10 −0.01 (0.002) 1.8 × 10−9 0.09 (0.06) 0.10 −0.03 (0.03) 0.36 0.08 (0.03) 0.02* 12.4 (11.5) 0.28

SNPs were aligned to the risk-taking propensity-increasing allele. Effect estimates (beta and SE) were derived from linear or logistic regressions of the variant to the named trait, adjusted for age and sex. BMI was a continuous outcome standardised within the BMI meta-analysis. TV snacking was coded: 0 never/rarely; 1 occasionally/ usually/ always; skipping breakfast was coded: 0 skips breakfast <2 times a week; 1 skips breakfast ≥2 times a week; home-cooked food was coded: 0:>5 meals a week home-cooked, 1:<5 meals a week are home-cooked

*Nominally significant (P < 0.05)