Table 2 Comparison of seven different methods in the PrediXcan gene set test in the WTCCC data

From: Non-parametric genetic prediction of complex traits with latent Dirichlet process regression models

Disease

ENET

BayesR

BVSR

LMM

MultiBLUP

rjMCMC

DPR

       

VB

MCMC

T1D

21

22

16

23

22

24

26

25

CD

6

0

1

4

4

5

3

6

RA

7

1

5

9

8

7

8

7

BD

0

0

0

0

0

0

0

0

CAD

0

0

0

0

0

0

0

0

HT

0

0

0

0

0

0

0

0

T2D

0

0

0

0

0

0

0

0

Total

34

23

22

36

34

36

37

38

  1. The table lists the number of genes passing the genome-wide significance threshold via Bonferroni correction (α = 1.15 × 10−5) in each of the seven common diseases. For each disease, we colored the best method with red and the second best method with blue
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