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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