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Table 4 Bias and inflation of test statistics for EWAS and TWAS across four cohorts on age and smoking status

From: Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution

  

EWAS

TWAS

  

Age

Smoking

Age

Smoking

  

infl. bias \(\left (\sqrt {\lambda _{{\chi ^{2}_{1}}}}\right)\)

infl. bias \(\left (\sqrt {\lambda _{{\chi ^{2}_{1}}}}\right)\)

infl. bias \(\left (\sqrt {\lambda _{{\chi ^{2}_{1}}}}\right)\)

infl. bias \(\left (\sqrt {\lambda _{{\chi ^{2}_{1}}}}\right)\)

Uncorrected

CODAM

1.17 0.100 (1.19)

1.02 0.040 (1.03)

1.13 -0.030 (1.20)

1.05 0.100 (1.06)

 

LL

1.45 -0.500 (1.94)

1.07 0.009 (1.08)

1.17 0.040 (1.39)

1.15 0.080 (1.22)

 

LLS

1.30 0.100 (1.36)

1.05 -0.200 (1.08)

1.18 0.050 (1.26)

1.15 -0.010 (1.17)

 

RS

1.34 0.700 (1.57)

0.99 -0.100 (1.01)

1.11 -0.005 (1.12)

1.10 -0.010 (1.12)

Corrected

CODAM

1.01 -0.000 (1.01)

1.00 0.000 (1.01)

1.02 -0.010 (1.06)

1.00 0.000 (1.00)

 

LL

1.00 -0.000 (1.27)

1.00 0.000 (1.01)

1.02 0.010 (1.19)

1.02 0.010 (1.06)

 

LLS

1.02 0.007 (1.05)

1.00 -0.003 (1.01)

1.03 0.001 (1.07)

1.02 -0.010 (1.02)

 

RS

1.00 0.000 (1.02)

0.99 0.000 (1.01)

1.02 -0.006 (1.01)

1.01 0.001 (1.02)

 

1.19 -0.030 (1.47)

1.05 0.020 (1.10)

1.04 0.030 (1.28)

1.06 -0.002 (1.14)

 

meta-analysis

     
  1. The table shows the bias and inflation as obtained using Bayesian method to estimate the empirical null and (within parentheses) using the genomic inflation factor \(\left (\sqrt {\lambda _{{\chi ^{2}_{1}}}}\right)\) both before correction and after correction for inflation (and bias in case of empirical control). The estimated inflation for the meta-analysis results are after control for inflation and bias in the individual cohorts and (within parentheses) inflation after applying genomic control. Sample sizes of the cohorts for EWAS/TWAS were n =164/181 (CODAM), n =744/605 (LL), n =683/589 (LLS), and n =612/535 (RS)