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Table 3 Summary of sensitivity, specificity of Unadjusted, FaST-LMM-EWASher, RefFreeEWAS, SVA, ReFACTor and RefFreeCellMix for 100 simulated data across three settings

From: Comparison of different cell type correction methods for genome-scale epigenetics studies

 

Sensitivity (Median, 95% interval)

Specificity (Median, 95% interval)

 

Scenario 1 (ρ = 0)

Scenario 2 (ρ = 0.7)

Scenario 1 (ρ = 0)

Scenario 2 (ρ = 0.7)

 

Number of Important CpGs =50

Unadjusted

0.960 (0.470, 1.000)

1.000 (1.000, 1.000)

1.000 (0.987, 1.000)

0.000 (0.000, 0.000)

Ewasher a

0.000 (0.000, 0.000)

0.000 (0.000, 0.000)

1.000 (0.999, 1.000)

1.000 (0.999, 1.000)

RefEWAS b

1.000 (0.960, 1.000)

0.000 (0.000,0.494)

0.997 (0.994, 0.999)

0.579 (0.055,1.000)

CellMix c

1.000 (0.980, 1.000)

1.000 (1.000, 1.000)

0.997 (0.993, 0.999)

0.546 (0.199, 0.923)

ReFACTor

1.000 (0.960, 1.000)

1.000 (1.000, 1.000)

0.996 (0.825, 1.000)

0.000 (0.000, 0.000)

SVA d

1.000 (0.980, 1.000)

1.000 (0.960, 1.000)

0.998 (0.996, 1.000)

0.998 (0.996, 1.000)

 

Number of Important CpGs =100

Unadjusted

0.980 (0.664, 1.000)

1.000 (1.000, 1.000)

0.999 (0.976, 1.000)

0.000 (0.000, 0.000)

Ewasher a

0.000 (0.000, 0.000)

0.000 (0.000, 0.000)

1.000 (0.999, 1.000)

1.000 (0.999, 1.000)

RefEWAS b

1.000 (0.965,1.000)

0.000 (0.000,0.403)

0.995 (0.991, 0.998)

0.520 (0.014,1.000)

CellMix c

1.000 (0.975, 1.000)

1.000 (1.000, 1.000)

0.988 (0.968, 0.996)

0.211 (0.047, 0.525)

ReFACTor

1.000 (0.965, 1.000)

1.000 (1.000, 1.000)

0.994 (0.808, 0.998)

0.000 (0.000, 0.000)

SVA d

1.000 (0.990,1.000)

0.990 (0.965, 1.000)

0.996 (0.993, 0.999)

0.996 (0.993, 0.999)

 

Number of Important CpGs =150

Unadjusted

0.993 (0.723, 1.000)

1.000 (1.000, 1.000)

0.999 (0.965, 1.000)

0.000 (0.000, 0.000)

Ewasher a

0.000 (0.000,0.000)

0.000 (0.000,0.000)

1.000 (0.999,1.000)

1.000 (0.999,1.000)

RefEWAS b

0.993 (0.973,1.000)

0.000 (0.000,0.294)

0.992 (0.986, 0.997)

0.496 (0.013,1.000)

CellMix c

1.000 (0.983, 1.000)

1.000 (1.000, 1.000)

0.975 (0.929, 0.993)

0.098 (0.022, 0.293)

ReFACTor

1.000 (0.980, 1.000)

1.000 (1.000, 1.000)

0.989 (0.794, 0.997)

0.000 (0.000, 0.000)

SVA d

1.000 (0.993,1.000)

0.993 (0.970, 1.000)

0.992 (0.988, 0.996)

0.993 (0.988, 0.996)

  1. ρ = correlation between primary covariate and latent variables
  2. ρ = 0 corresponds to data simulated from Scenario 1, while ρ = 0.7 corresponds to data simulated from Scenario 2
  3. aFasT-LMM-EWASher
  4. bRefFreeEWAS
  5. cRefFreeCellMix
  6. dSurrogate variable analysis