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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 \( {h}^2=\raisebox{1ex}{${\upsigma}_{\mathrm{g}}^2$}\!\left/ \!\raisebox{-1ex}{$\left({\upsigma}_{\mathrm{e}}^2+{\upsigma}_{\mathrm{g}}^2\right)$}\right. \)