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Table 1 Prediction models based on candidate genes.

From: Identifying disease associated genes by network propagation

 

T = 1

 

T=∞

method

Gene a

SNP1 b

SNP2c

AUC1d

AUC2 e

Gene

SNP1

SNP2

AUC1

AUC2

Sig. Thresh.f

130

1176

1145

0.705(0.033)

0.687(0.032)

184

1314

1281

0.730(0.017)

0.715(0.013)

PSg

130

2331

2310

0.645(0.024)

0.627(0.026)

184

3279

3256

0.645(0.024)

0.626(0.026)

  1. aGene is number of genes identified as GBA associations,
  2. bSNP1 is number of SNPs mapped to these genes.
  3. cSNP2 is bSNP1 excluding snps that reach GWAS significance of 5 × 10−7.
  4. dAUC1, mean AUC of prediction models built with bSNP1, numbers in parentheses are standard deviation in cross validations.
  5. eAUC2, similar to AUC1, prediction models built with cSNP2.
  6. fSig. Thresh. = 0.01
  7. gPS means genes with highest posterior scores are selected.
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BMC Systems Biology

ISSN: 1752-0509

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