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Table 3 Summary of the number of SNP pairs detected by different filtering methods.

From: GWIS - model-free, fast and exhaustive search for epistatic interactions in case-control GWAS

Univariate

Bivariate Filter

Bivariate Filter + GSS

Dataset

log10 P χ 2

 

χ 2

 

DSS

GBOOST

 

χ 2

DSS

GBOOST

HT

-9.8

 

128

 

429

51

 

41

107

24

BD

-10.9

 

2445

 

556

34

 

44

179

27

CAD

-13.1

 

210147

 

7807

43

 

42

116

39

T2D

-13.3

 

56592

 

3105

52

 

79

134

41

CD

-34.3

 

> 500000∗

 

5591

25

 

29

57

22

RA

-37.7

 

> 500000∗

 

823

99

 

59

312

95

T1D

-133.6

 

> 500000∗

 

4993

37

 

2

107

33

  1. Summary of the number of SNP pairs detected by χ 2 , GBOOST and our introduced DSS heuristic over all WTCCC datasets before and after filtering with GSS. The rows of the table are sorted in descending order of p-values for univariate χ 2 test (Column 2). Columns 3-5 show results for the bivariate filters, and columns 6-8 show the number of epistatic interactions discovered after further filtering with GSS. In some diseases, strong univariate SNPs likely cause proliferation of non-epistatic but significant pairs according to χ 2 . These pairs are largely removed by the proposed GSS filter. A '*' indicates that an upper bound on the number of recorded pairs was reached. The number of significant pairs may be much higher.