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Table 4 Power of the population-based association approach (GEE test) for a SNP with MAF = 0.1

From: The Framingham Heart Study 100K SNP genome-wide association study resource: overview of 17 phenotype working group reports

   

Nominal Type I Error

SNP QTL Heritability

Effect Size (SD)*

Model

0.05

0.01

0.001

10-4

10-5

10-6

10-7

10-8

100% phenotype available (n = 1345)

   1%

0.24

GEE

0.977

0.919

0.78

0.60

0.43

0.27

0.17

0.10

   2%

0.33

GEE

1

1.00

0.99

0.97

0.91

0.84

0.72

0.59

   3%

0.41

GEE

1

1

1

0.998

0.992

0.985

0.957

0.918

   4%

0.47

GEE

1

1

1

1

1

1

0.996

0.991

   5%

0.53

GEE

1

1

1

1

1

1

1

1

~80% subjects have phenotype(~20% missing at random): Sample size = 1076

   1%

0.24

GEE

0.934

0.836

0.631

0.427

0.261

0.149

0.074

0.041

   2%

0.33

GEE

1.00

0.99

0.97

0.93

0.82

0.66

0.51

0.37

   3%

0.41

GEE

1

1

0.998

0.993

0.976

0.938

0.85

0.753

   4%

0.47

GEE

0.998

0.998

0.998

0.998

0.991

0.984

0.971

0.949

   5%

0.53

GEE

1

1

1

1

1

1

1

0.99

~60% subjects have phenotype(~40% missing at random): Sample size = 783

   1%

0.24

GEE

0.879

0.737

0.48

0.281

0.137

0.055

0.023

0.008

   2%

0.33

GEE

0.992

0.96

0.88

0.744

0.591

0.433

0.293

0.186

   3%

0.41

GEE

1

1

0.982

0.945

0.874

0.754

0.602

0.467

   4%

0.47

GEE

1

1

1

0.998

0.981

0.95

0.884

0.797

   5%

0.53

GEE

1

1

0.999

0.997

0.996

0.982

0.964

0.931

  1. *SD: Standard Deviation. The effect size is expressed in unit of standard deviation of the phenotype.