Skip to main content

Table 3 Summary of growth models for mice categorized with respect to individual variables of strain*agouti*sex

From: Genetic background (DDD/Sgn versus C57BL/6J) strongly influences postnatal growth of male mice carrying the Ayallele at the agouti locus: identification of quantitative trait loci associated with diabetes and body weight loss

  

Model 1

Model 2

Model 3

  

Values of parameters

Values of parameters

Values of parameters

Individual variable

Category

a

b

Residuals

a

b

Residuals

Adjusted R2

a

b

c

Residuals

Adjusted R2

 

aB6AF

24.8

0.235

1.912

2.621

0.197

0.080

0.969

2.248

0.511

−0.063368

0.025

0.990

 

aB6AM

33.3

0.200

1.938

2.751

0.249

0.124

0.959

2.176

0.732

−0.097586

0.029

0.990

 

aB6YF

52.2

0.089

0.960

2.176

0.532

0.221

0.989

1.578

1.035

−0.101656

0.062

0.997

 

aB6YM

50.9

0.118

0.476

2.509

0.443

0.256

0.973

1.593

1.212

−0.155501

0.016

0.998

 

bBDAF

31.0

0.170

1.277

2.530

0.291

0.002

0.993

2.555

0.270

0.004

0.002

0.993

 

bBDAM

38.6

0.180

1.537

2.805

0.276

0.061

0.992

2.686

0.376

−0.020256

0.053

0.992

Strain*Agouti*Sex

aBDYF

65.2

0.076

0.801

2.177

0.584

0.143

0.994

1.623

1.050

−0.094138

0.015

0.999

 

aBDYM

55.3

0.131

0.655

2.742

0.400

0.208

0.975

1.973

1.047

−0.130541

0.023

0.997

 

bDBAF

32.7

0.179

1.323

2.654

0.270

0.046

0.985

2.975

0.000

0.054

0.020

0.993

 

bDBAM

42.8

0.174

1.386

2.882

0.282

0.029

0.991

2.943

0.232

0.010

0.028

0.990

 

bDBYF

68.0

0.081

1.329

2.387

0.536

0.062

0.995

2.366

0.554

−0.003482

0.062

0.995

 

aDBYM

60.0

0.151

0.770

2.998

0.352

0.203

0.959

2.119

1.090

−0.14911

0.022

0.995

 

aDDDAF

39.7

0.137

1.217

2.523

0.364

0.024

0.997

2.407

0.462

−0.019735

0.019

0.998

 

bDDDAM

46.9

0.160

1.600

2.875

0.312

0.042

0.994

2.800

0.375

−0.012714

0.040

0.994

 

aDDDYF

72.3

0.094

1.165

2.523

0.534

0.691

0.976

1.453

1.433

−0.1816

0.000

1.000

 

aDDDYM

43.4

0.292

2.044

3.375

0.133

0.517

0.670

2.226

1.098

−0.194955

0.035

0.976

  1. aModel 3 best fits the observed data.
  2. bModel 2 best fits the observed data.