Table 1.
Genome-wide significant association of the rs17366568 (G>A) SNP in the ADIPOQ locus
Combined | Women | Men | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Population | EAF* | Rsqr† | n | Beta‡ | P | n | Beta‡ | P | n | Beta‡ | P | |||||||||||
Stage 1 | ||||||||||||||||||||||
ERF | 0.91 | 0.37 | 1817 | 0.103 | 2.7E-07 | 1052 | 0.115 | 1.0E-05 | 765 | 0.088 | 0.004 | |||||||||||
KORA | 0.89 | 0.91 | 1643 | 0.173 | 1.7E-15 | 830 | 0.204 | 1.9E-11 | 813 | 0.142 | 5.8E-06 | |||||||||||
MICROS | 0.90 | 0.27 | 1195 | 0.114 | 3.0E-06 | 678 | 0.102 | 4.1E-04 | 517 | 0.182 | 1.6E-05 | |||||||||||
Combined** | 0.90 | - | 4655 | 4.3E-24 | 2560 | 8.7E-17 | 2095 | 2.5E-11 | ||||||||||||||
Stage 2 | ||||||||||||||||||||||
Colaus | 0.88 | 1.00 | 5261 | 0.132 | 3.0E-13 | 2759 | 0.119 | 1.1E-06 | 2502 | 0.146 | 5.1E-08 | |||||||||||
Framingham | 0.88 | 1.00 | 2220 | 0.072 | 0.003 | 1213 | 0.050 | 0.108 | 1007 | 0.094 | 0.012 | |||||||||||
GEMS | 0.87 | 1.00 | 1780 | 0.149 | 2.9E-06 | 732 | 0.084 | 0.095 | 1048 | 0.194 | 2.1E-06 | |||||||||||
ALSPAC | 0.92 | 0.37 | 1415 | 0.395 | 2.9E-14 | 691 | 0.453 | 9.4E-09 | 724 | 0.351 | 3.5E-07 | |||||||||||
TWINS UK | 0.998 | NA | 1399 | 0.154 | 0.078 | 1399 | 0.154 | 0.078 | - | - | - | |||||||||||
InChianti | 0.94 | NA | 1027 | -0.056 | 0.481 | 562 | -0.130 | 0.268 | 465 | 0.007 | 0.95 | |||||||||||
BLSA | 0.92 | 0.61 | 565 | 0.263 | 0.004 | 266 | -0.028 | 0.822 | 299 | 0.488 | 2.5E-04 | |||||||||||
Combined** | 0.89 | - | 13667 | - | 5.2E-22 | 7622 | - | 2.7E-10 | 6045 | - | 8.1E-14 | |||||||||||
Stage 1 + 2 | ||||||||||||||||||||||
Combined** | 0.89 | - | 18322 | 1.1E-41 | 10182 | 2.8E-22 | 8140 | 7.8E-23 |
EAF = effect allele frequency (i.e. frequency of G) for sex-combined analysis
Rsqr = imputation certainty
Beta estimate from linear regression adjusted for age, BMI, and (if appropriate) for sex per unit change [log(μg/mL)] for the risk allele G
Results are provided for a beta-pooling meta-analysis using the fixed effect model weighting for the inverse variance. When a scaling-invariant p-value pooling meta-analysis using the sample size weighted z-score method was applied for sensitivity analysis, we found no major differences between both methods.