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Table 4 The size and genetic architecture of seven combined control/case data sets

From: A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

Diseases

Number of records

Number of markers

σ 2e

σ 2g

h 2

BD

4722

292,496

0.070509

0.17156

0.71

CAD

4864

296,610

0.149782

0.09189

0.38

CD

4577

301,579

0.073900

0.16056

0.69

HT

4890

294,404

0.113621

0.12816

0.53

RA

4704

295,890

0.070900

0.07120

0.50

T1D

4824

296,228

0.064739

0.12567

0.66

T2D

4722

294,641

0.099866

0.14497

0.59

  1. The error variance (σ 2e ) and genetic variance (σ 2g ) are estimated by GCTA; the heritability (h 2) is estimated by the equation \( {h}^2=\raisebox{1ex}{${\upsigma}_{\mathrm{g}}^2$}\!\left/ \!\raisebox{-1ex}{$\left({\upsigma}_{\mathrm{e}}^2+{\upsigma}_{\mathrm{g}}^2\right)$}\right. \)