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Table 3 Linear models predicting BMI

From: On the association of common and rare genetic variation influencing body mass index: a combined SNP and CNV analysis

Model

Estimate EA

Estimate AA

Estimate combined

p-value EA

p-value AA

p-value combined

Model 1: Covariates

  Intercept

26.91

30.21

27.63

< 2×10−16

< 2×10−16

< 2×10−16

  PC1

−50.11

−6.91

−98.82

0.788

0.939

2.40×10−29

  PC4

19.31

−29.93

10.54

0.027

0.157

0.167

  PC8

−3.18

−28.41

−30.20

0.934

0.008

0.002

  Sex

−1.26

2.49

−0.46

1.76×10−5

3.67×10−5

0.081

  Age

0.05

−0.01

0.04

2.13×10−4

0.984

9.45×10−4

  AD

−0.15

−0.37

−0.20

0.062

0.018

0.004

  ND

−0.10

0.07

−0.06

0.157

0.627

0.361

  PC1*Sex

295.12

−249.00

−122.29

0.409

0.172

1.92×10−12

  Age*AD

−0.02

−0.07

−0.02

0.026

0.0006

3.20×10−4

Model 2: Covariates, GRSS & CNV

  Intercept

26.91

30.22

27.63

< 2×10−16

< 2×10−16

< 2×10−16

  PC1

−107.10

−14.09

−110.22

0.560

0.877

1.89×10−35

  PC4

20.20

−30.04

10.14

0.019

0.153

0.176

  PC8

11.44

−30.56

−31.53

0.765

0.004

8.36×10−4

  Sex

−1.24

2.51

−0.43

1.70×10−5

2.89×10−5

0.099

  Age

0.05

0.01

0.04

2.03×10−4

0.963

8.15×10−4

  AD

−0.15

−0.37

−0.20

0.058

0.020

0.005

  ND

−0.12

0.09

−0.07

0.087

0.566

0.253

  PC1*Sex

170.80

−261.80

−131.38

0.627

0.150

3.91×10−14

  Age*AD

−0.01

−0.06

−0.02

0.032

0.001

6.59×10−4

  SNP-GRSS

65.40

42.30

62.44

2.55×10−15

0.036

4.30×10−16

  Sex*SNP-GRSS

39.96

70.47

44.37

0.014

0.076

0.003

  Del 16p12.3

−0.60

−0.61

−0.57

0.079

0.511

0.075

  1. Note: 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 = alcohol dependence, ND = nicotine dependence, CNV = copy number variation, Del = deletion.
  2. * = interaction term.