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Table 2 Power to detect the causal genes on Q2 at the 0.05 significance level

From: Gene-based multiple trait analysis for exome sequencing data

Gene

Q1

Q2

Q4

D

Q2+D

Q1+Q2

+Q4+D

OCMT

Subset with the highest power (power)

BHCE

0.060

0.055

0.445

0.430

0.075

0.060

0.170

0.160

0.340

0.340

0.210

0.190

0.215

0.205

Q2+D (0.340)

Q2+D (0.340)

GCKR

0.040

0.055

0.415

0.430

0.040

0.020

0.105

0.105

0.380

0.385

0.310

0.330

0.295

0.350

Q1+Q2 (0.455)

Q1+Q2 (0.390)

INSIG1

0.045

0.035

0.030

0.035

0.055

0.045

0.550

0.045

0.050

0.030

0.070

0.045

0.065

0.035

Q1+Q4+D (0.080)

Q1+D (0.065)

LPL

0.065

0.070

0.095

0.165

0.055

0.020

0.090

0.045

0.065

0.140

0.125

0.125

0.120

0.130

Q1+D (0.190)

Q1+Q2 (0.210)

PDGFD

0.020

0.020

0.275

0.300

0.040

0.030

0.105

0.070

0.175

0.225

0.160

0.175

0.155

0.175

Q1+Q2+D (0.190)

Q2+D (0.225)

PLAT

0.025

0.025

0.050

0.070

0.010

0.010

0.075

0.095

0.060

0.095

0.045

0.045

0.040

0.035

Q2+D (0.060)

Q2+D (0.095)

RARB

0.225

0.050

0.105

0.070

0.095

0.040

0.075

0.060

0.075

0.055

0.145

0.065

0.135

0.070

Q1+Q2 (0.160)

Q1+D (0.070)

SIRT1

0.050

0.065

0.605

0.555

0.060

0.050

0.090

0.090

0.530

0.450

0.445

0.410

0.480

0.430

Q1+Q2 (0.545)

Q1+Q2 (0.515)

SREBF1

0.085

0.035

0.515

0.540

0.055

0.035

0.115

0.100

0.420

0.500

0.410

0.385

0.415

0.395

Q1+Q2 (0.520)

Q2+D (0.500)

VLDLR

0.025

0.025

0.140

0.230

0.030

0.015

0.090

0.070

0.145

0.210

0.095

0.125

0.100

0.095

Q2+D (0.145)

Q2+D (0.210)

VNN1

0.465

0.045

0.210

0.050

0.065

0.065

0.115

0.045

0.140

0.050

0.295

0.035

0.285

0.030

Q1+Q2 (0.360)

Q1+Q2 (0.065)

VNN3

0.035

0.025

0.460

0.380

0.055

0.035

0.070

0.055

0.365

0.275

0.260

0.205

0.280

0.195

Q2+Q4 (0.040)

Q2+Q4 (0.280)

VWF

0.030

0.025

0.245

0.205

0.050

0.035

0.140

0.075

0.205

0.170

0.115

0.110

0.110

0.120

Q2+D (0.205)

Q2+D (0.170)

  1. We report the powers without (upper) and with (lower) the adjustment of stratification for the single-trait analyses (Q1, Q2, Q4, D), the CMT method for Q2 and D (Q2+D), the CMT method for all the four traits (Q1+Q2+Q4+D), and the OCMT method (OCMT). The last column presents the subset with the highest power among all the subsets with at least two traits and its power (in parentheses).