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Table 2 Linear regression models with BMI as the outcome variable

From: A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder

Study/sample Model F Adj. R 2 Additional variance explained by GRS
Radiant     
Total Model 1: adjusted by age, sex, and depression 38.98 0.0829 1.27%
Model 2: model 1 + wGRS 39.16 0.0956
Depressed cases Model 1: adjusted by age and sex 17.85 0.0426 1.63%
Model 2: model 1 + wGRS 20.75 0.0589
Controls Model 1: adjusted by age and sex 11.71 0.0789 0.34%
Model 2: model 1 + wGRS 10.34 0.0823
GSK-Munich     
Total Model 1: adjusted by age, sex, and depression 34.02 0.1056 0.53%
Model 2: model 1 + wGRS 29.80 0.1109
Depressed cases Model 1: adjusted by age and sex 8.02 0.0372 1.32%
Model 2: model 1 + wGRS 7.13 0.0504
Controls Model 1: adjusted by age and sex 25.66 0.1306 0.23%
Model 2: model 1 + wGRS 21.98 0.1329
PsyCoLaus     
Total Model 1: adjusted by age, sex, and depression 40.20 0.0843 0.93%
Model 2: model 1 + wGRS 39.47 0.0936
Depressed cases Model 1: adjusted by age and sex 14.84 0.0605 1.09%
Model 2: model 1 + wGRS 15.15 0.0714
Controls Model 1: adjusted by age and sex 31.25 0.0970 0.77%
Model 2: model 1 + wGRS 29.21 0.1047