Covariance and precision matrix in multivariate normal

Let $X \sim N_n(\mu, \Sigma)$ and $\Omega=\Sigma^{-1}$ be a precision matrix
Off-diagonal entry of
$\Sigma$ indicates the marginal dependence between the variables
$\Omega$ indicates the conditional independence between the variables
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