  With the increasing availability and size of multi-omics datasets,
investigating the casual relationships between molecular phenotypes has become
an important aspect of exploring underlying biology and genetics. This paper
aims to introduce and review the available methods for building large-scale
causal molecular networks that have been developed in the past decade. Existing
methods have their own strengths and limitations so there is no one best
approach, and it is instead down to the discretion of the researcher. This
review also aims to discuss some of the current limitations to biological
interpretation of these networks, and important factors to consider for future
studies on molecular networks.
