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Table 1 Simulation results of QTL mapping

From: Comparison between the stochastic search variable selection and the least absolute shrinkage and selection operator for genome-wide association studies of rheumatoid arthritis

  

AUCb

Coefficient

Marker densitya

SSVS (Ï„= 1)

SSVS (Ï„= 2)

SSVS (Ï„= 3)

LASSO

F-test

0.5

200

0.898

0.891

0.884

0.684

0.729

0.5

100

0.923

0.918

0.913

0.7

0.753

0.5

10

0.949

0.944

0.942

0.783

0.800

0.5

1

0.950

0.947

0.942

0.798

0.814

1

200

0.969

0.955

0.947

0.873

0.814

1

100

0.987

0.982

0.978

0.886

0.854

1

10

0.997

0.996

0.995

0.965

0.922

1

1

0.999

0.998

0.997

0.979

0.932

1.5

200

0.989

0.985

0.976

0.926

0.838

1.5

100

0.998

0.998

0.996

0.939

0.887

1.5

10

1

1

0.999

0.991

0.951

1.5

1

1

1

1

0.995

0.951

2

200

0.991

0.988

0.986

0.952

0.823

2

100

0.999

0.997

0.997

0.962

0.874

2

10

1

1

0.999

0.995

0.963

2

1

1

1

1

0.998

0.966

  1. ameasured in the average number of markers selected from every 1,000 markers of the Hapmap Phase I data
  2. bThe AUC values are the average values across 1,000 simulations. σ = 0.05
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BMC Proceedings

ISSN: 1753-6561

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