Statistical fine-mapping usually contains false positives and fails to distinguish a true causal variant from other variants in extremely high LD; therefore, it requires functional annotation information to further prioritize fine-mapped variants. CAUSALdb integrates and compiles over 22 annotations (Supplementary Table S3) from four major categories according to the attributes and usage of collected datasets: variant information, functional prediction, functional evidence, and trait association (details in Materials and Methods). All annotations can be inspected from the right panel of the causal block viewer and are downloadable (Figure 3D).
