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Table 2 Summary of estimates for the model for association status given the functional annotation data

From: Functional annotation signatures of disease susceptibility loci improve SNP association analysis

Coefficient

Mean

SD

Mean/SD

Coefficient

Mean

SD

Mean/SD

MAF1

0.029

0.0272

1.051

CalPC8

0.096

0.0608

1.584

MAF2

0.003

0.0185

0.151

CalPC9

0.009

0.0218

0.406

MAF3

0.018

0.0236

0.759

CalPC10

-0.019

0.0234

-0.809

MAF4

-0.008

0.0199

-0.425

CalPC11

-0.044

0.0468

-0.943

BrPC1

-0.348

0.0388

-8.983

PhyPC1

0.225

0.0452

4.982

BrPC2

0.174

0.0360

4.845

PhyPC2

-0.023

0.0308

-0.742

BrPC3

0.002

0.0172

0.099

PhyPC3

0.053

0.0395

1.336

BrPC4

-0.077

0.0301

-2.561

PhyPC4

0.024

0.0289

0.839

BrPC5

0.149

0.0301

4.932

funcIntron

-0.003

0.0199

-0.160

BrPC6

0.097

0.0329

2.961

funcNg3

0.002

0.0238

0.098

BrPC7

-0.019

0.0229

-0.825

funcNg5

0.003

0.0200

0.158

BrPC8

-0.078

0.0312

-2.498

funcNonsynon

0.089

0.0387

2.308

BrPC9

-0.012

0.0202

-0.573

funcSynon

-0.007

0.0236

-0.283

BrPC10

0.007

0.0182

0.407

funcUTR

0.002

0.0210

0.078

BrPC11

0.021

0.0239

0.887

logDNase

0.011

0.0253

0.419

BrPC12

-0.039

0.0290

-1.343

TFBSfreq

0.024

0.0267

0.885

BrPC13

-0.094

0.0318

-2.972

logTFBS

0.019

0.0299

0.641

BrPC14

-0.000

0.0175

-0.015

ORegInd

0.027

0.0236

1.163

BrPC15

-0.039

0.0286

-1.354

IndelInd

-0.023

0.0337

-0.693

BrPC16

0.009

0.0185

0.467

CNVInd

0.059

0.0321

1.842

BrPC17

-0.015

0.0213

-0.696

InvInd

0.090

0.0305

2.938

BrPC18

-0.014

0.0210

-0.688

rDBcat1

0.014

0.0257

0.550

CalPC1

-0.103

0.0492

-2.084

rDBcat2

0.066

0.0378

1.741

CalPC2

0.090

0.0441

2.030

rDBcat3

0.012

0.0264

0.467

CalPC3

-0.019

0.0270

-0.709

rDBcat4

0.116

0.0461

2.508

CalPC4

0.086

0.0457

1.889

rDBcat5

0.106

0.0527

2.003

CalPC5

0.053

0.0395

1.350

rDBcat6

-0.056

0.0552

-1.018

CalPC6

-0.012

0.0233

-0.496

pph2prob

0.078

0.0269

2.905

CalPC7

0.002

0.0207

0.078

    
  1. Estimates of the posterior mean and standard deviation are provided for each coefficient in the model along with the ratio of these quantities, a ‘signal–to–noise’ measure analogous to the Z statistic.