were found, which indicated that the CNV was comparably associated with BMI in males and females, EA and AA and across the age range observed in SAGE. Additional file 5: Table S5 gives full model statistics by ancestry. We have also included in Additional file 5: Table S5d models with the two SNPs (rs12444979, rs2815752) that have been previously shown to tag CNVs removed from the SNP-GRSS and did not find any major differences in model fit (i.e.; [F(12 2,335) = 25.34, p-value = 3.34×10−54, R2 = 0.115] vs. [F(12 2,335) = 24.54, p-value = 1.97×10−52, R2 = 0.112]).Table 3 Linear models predicting BMI ModelEstimate EAEstimate AAEstimate combined p-value EA p-value AA p-value combined Model 1: Covariates Intercept26.9130.2127.63< 2×10−16 < 2×10−16 < 2×10−16 PC1−50.11−6.91−98.820.7880.9392.40×10−29 PC419.31−29.9310.540.0270.1570.167 PC8−3.18−28.41−30.200.9340.0080.002 Sex−1.262.49−0.461.76×10−5 3.67×10−5 0.081 Age0.05−0.010.042.13×10−4 0.9849.45×10−4 AD−0.15−0.37−0.200.0620.0180.004 ND−0.100.07−0.060.1570.6270.361 PC1*Sex295.12−249.00−122.290.4090.1721.92×10−12 Age*AD−0.02−0.07−0.020.0260.00063.20×10−4 Model 2: Covariates, GRSS & CNV Intercept26.9130.2227.63< 2×10−16 < 2×10−16 < 2×10−16 PC1−107.10−14.09−110.220.5600.8771.89×10−35 PC420.20−30.0410.140.0190.1530.176 PC811.44−30.56−31.530.7650.0048.36×10−4 Sex−1.242.51−0.431.70×10−5 2.89×10−5 0.099 Age0.050.010.042.03×10−4 0.9638.15×10−4 AD−0.15−0.37−0.200.0580.0200.005 ND−0.120.09−0.070.0870.5660.253 PC1*Sex170.80−261.80−131.380.6270.1503.91×10−14 Age*AD−0.01−0.06−0.020.0320.0016.59×10−4 SNP-GRSS65.4042.3062.442.55×10−15 0.0364.30×10−16 Sex*SNP-GRSS39.9670.4744.370.0140.0760.003 Del 16p12.3−0.60−0.61−0.570.0790.5110.075Note: BMI = body mass index kg/m2, Estimate = regression coefficient, EA = European-American, AA = African-American, GRSS = genetic risk sum score, PC = principal component score, Age = age at interview in years, AD =
