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Table 7 Type I error rates for different disease models, main effects, and disease prevalences

From: GCORE-sib: An efficient gene-gene interaction tool for genome-wide association studies based on discordant sib pairs

  

Disease prevalence

Effect size

Disease model

0.01

0.05

0.1

λ 1 = log (2), λ 2 = 0

Additive

0.0484

0.0534

0.0488

 

Dominant

0.0544

0.0502

0.0560

 

Recessive

0.0494

0.0440

0.0454

λ 1 = log (1.3), λ 2 = log (1.3)

Additive

0.0476

0.0530

0.0458

 

Dominant

0.0524

0.0570 a

0.0530

 

Recessive

0.0474

0.0532

0.0522

λ 1 = log (1.5), λ 2 = log  (1.5)

Additive

0.0534

0.0500

0.0508

 

Dominant

0.0674

0.0674

0.0612

 

Recessive

0.0518

0.0520

0.0498

λ 1 = log (2), λ 2 = log (2)

Additive

0.0768

0.0658

0.0602

 

Dominant

0.1670

0.1268

0.0764

 

Recessive

0.0448

0.0514

0.0520

  1. aValues in bold represent that the 95 % confidence intervals of the estimates do not include the expected level of 0.05
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BMC Bioinformatics

ISSN: 1471-2105

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