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Table 4 Accuracy of variance components as proportions of the total variance, N = 1,000

From: Genetic association tests: a method for the joint analysis of family and case-control data

   

Nuclear

Extended

Parameter

Model

 

RAND

ASC

RAND

ASC

Marital

MP-MP

Est

0.079

0068

0.0775

0.0696

  

rMSE

0.0877

0.0990

0.0894

0.0693

 

SMP-SMP

Est

0.1743

0.0636

0.1291

0.0555

  

rMSE

0.0316

0.0781

0.0141

0.0866

Sibling

SP-SP

Est

0.0574

0.0669

0.0549

0.0713

  

rMSE

0.1095

0.1000

0.1122

0.0959

 

SMP-SMP

Est

0.0549

0.0554

0.057

0.0579

  

rMSE

0.0883

0.1118

0.0860

0.1090

Polygenic

FP-FP

Est

0.0896

0.0604

0.1711

0.1388

  

rMSE

0.0775

0.1068

0.0000

0.0283

 

MP-MP

Est

0.0741

0.0655

0.0775

0.0643

  

rMSE

0.0927

0.1015

0.0894

0.1030

 

P-P

Est

0.063

0.0805

0.0602

0.0755

  

rMSE

0.1039

0.1196

0.1068

0.1249

 

SMP-SMP

Est

0.2169

0.0617

0.1759

0.0559

  

rMSE

0.0742

0.0800

0.0332

0.0860

 

SP-SP

Est

0.0962

0.0723

0.0782

0.0603

  

rMSE

0.0707

0.0949

0.0889

0.1068

Familial

FP-FP

Est

0.1133

0.0122

0.033

0.0139

  

rMSE

0.0539

0.3521

0.1342

0.1530

 

P-FP

Est

0.0198

0.0032

0.048

0.0102

  

rMSE

0.0200

0.0032

0.0480

0.0100

  1. * Model indicates the variance components that were simulated followed by those included in the analysis model (F = familial, M = marital, S = sibling and P = polygenic); Est is the average estimate across all replicates of that model; rMSE is the square root of the mean square error; ASC represents the analysis of an ascertained sample using ascertainment correction and RAND represents the analysis of a random sample without any such correction.