">
    <p>Bayesian linear regression (BLR) models:</p>
<p>- unified mapping of genetic variants, estimation of genetic parameters 
(e.g. heritability) and prediction of disease risk)</p>
<p>- handles different genetic architectures (few large, many small effects)</p>
<p>- scale to large data (e.g. sparse LD)</p>

<p>In the Bayesian multiple regression model the posterior density of the 
model parameters depend on the likelihood of the data given 
the parameters and a prior probability for the model paramete