Table 3. Associations of the individual obesity-susceptibility SNPs and the GPS1 with adiposity-related traits2 in young adulthood (HUNT3)3.
Z-scores BMI | Z-scores WC | ||||||||||
SNP | Chrom | Nearest gene | B | CI (95%) | P-value | Literature | B | CI (95%) | P-value | Literature | |
rs2815752 | 1 | NEGR1 | −.028 | −.098, .042 | .436 | 0.024d | −.007 | −.077, .063 | .845 | 0.022d | |
rs6548238 | 2 | TMEM18 | .018 | −.075, .125 | .699 | 0.070d | .017 | −.076, .109 | .726 | 0.050d | |
rs10938397 | 4 | GNPDA2 | −.001 | −.071, .069 | .976 | 0.045d | −.013 | −.083, .057 | .719 | 0.039d | |
rs987237 | 6 | TFAP2B | .022 | −.067, .111 | .624 | − | −.035 | −.124, .054 | .439 | 0.035e | |
rs4074134 | 11 | BDNF | .054 | −.034, .142 | .226 | 0.055d | .072 | −.016, .159 | .109 | 0.049d | |
rs10838738 | 11 | MTCH2 | .048 | −.022, .117 | .182 | 0.021d | .062 | −.007, .131 | .080 | 0.011d | |
rs1121980 | 16 | In FTO | .086 | .017, .156 | .015 | 0.086d | .071 | .002, .140 | .045 | 0.080d | |
rs17782313 | 18 | MC4R | .103 | .025, .181 | .010 | 0.047d | .069 | −.009, .147 | .082 | 0.042d | |
rs11084753 | 19 | KCTD15 | .062 | −.014, .138 | .110 | 0.016d | .047 | −.028, .123 | .220 | 0.024d | |
GPS | .041 | .015, .067 | .002 | 0.039d | .033 | .008, .059 | .011 | 0.033d |
The genetic predisposition score (GPS) is the sum of effect alleles from each of the nine individual SNPs.
Sex specific z-scores of BMI and waist circumference in young adulthood.
Number of participants: for individual SNPs = 1643 and for GPS = 1634 (those missing more than 3 SNPs excluded).
The linear regression models were adjusted for age regarding BMI and additionally also for height regarding WC, assuming an additive effect.
Pregnant participants were excluded.
Chrom: chromosome.
Comparable effect sizes in the literature:
Li et al. [35];
Lindgren et al. [19].