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Table 2 Strongest correlations between false positives and genuine causal SNPs

From: Resampling procedures to identify important SNPs using a consensus approach

Outcome

Identified SNP

Causal SNP

Correlation

Consensus modelsa

Q1

C9S13

C4S1878

0.21

 

C9S13

C4S1884

0.23

 

C1S7427

C6S5380

0.22

 

C12S2798

C6S5380

−0.28

 

C8S2699

C6S5426

0.21

 

C1S7427

C13S523

0.21

 

C12S2798

C13S523

−0.27

 

C12S7427

C14S3706

−0.27

Q4

C10S6324

C13S523

0.23

Affected

C19S3379

C4S1878

−0.21

 

C18S2310

C6S5426

0.26

 

C19S3379

C6S5426

0.22

GWAS for Q1b

C12S707

C4S1878

0.27

 

C12S711

C4S1878

0.28

 

C12S707

C4S1884

0.26

 

C12S707

C6S5380

0.21

 

C12S711

C6S5380

0.21

 

C12S2798

C6S5380

−0.28

 

C12S707

C13S522

0.21

 

C12S711

C13S522

0.21

 

C12S707

C13S523

0.45

 

C12S711

C13S523

0.4

 

C12S2028

C13S523

0.32

 

C12S2798

C13S523

−0.27

 

C12S707

C14S1734

0.31

 

C12S711

C14S1734

0.26

 

C12S2028

C14S1734

0.25

 

C12S707

C18S2492

0.41

 

C12S711

C18S2492

0.26

  1. a SNPs identified by our procedure.
  2. b SNPs identified by a naïve genome-wide association study for Q1.