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. 2017 Dec 7;101(6):925–938. doi: 10.1016/j.ajhg.2017.10.007

Figure 2.

Figure 2

The Effects of BMI-Associated SNPs across the Sample BMI Distribution

CQR models of BMI-associated SNPs were fitted every fifth percentile of BMI and adjusted for age, age squared, sex, and study. Estimates of the change in BMI (kg/m2) per effect allele (βCQR) from these models were plotted against the BMI percentile (thick black line) along with the 95% confidence intervals (shaded gray region). The results from OLS models (βOLS, kg/m2 per effect allele, horizontal dashed green line) and the 95% confidence intervals (horizontal dotted green lines) were also plotted for comparison. The change in CQR estimates across BMI percentiles was modeled with MR, and estimates from MR (βMR, kg/m2 per effect allele per BMI percentile, thin magenta line) and the 95% confidence intervals (dotted magenta lines) were plotted. MR analysis detected significant (p < 1.32 × 10−3) increases in the effects of these SNPs across the sample BMI distribution.