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. 2019 Mar 1;9:3266. doi: 10.1038/s41598-019-39796-w

Table 1.

Summary Results of top scoring Variant selection by VarClass per dataset.

Dataset Diseasea Unique genes Risk Modelsb Protective Models (IDI score < = −0.02)c Pro-disease Models (IDI score > = 0.02)c No. of top scoring VarClass Variantsc
GSE7226 Platform: GPL2005 Intellectual disability 2486 16551 82 82
GSE7226 Platform: GPL2004 Intellectual disability 2676 18992 51 51
GSE58356 Gastric cancer 9256 15272 12 10
PPMI Parkinson’s 20264 6253 25 22

aDisease keywords are used in stages 1 and 2 of the VarClass flow Chart (see Fig. 1) to initiate the disease profile and extract information from ClinVar.

bRisk Models are derived from stages 3–8 of the VarClass pipeline, where each model represents a different type of network used to obtain information of VUS by gene association.

cProtective and Pro-disease models derived after filtering the results from step 7 (final outcome) of VarClass by applying IDI Thresholds and selecting a final number of Protecting and Pro-disease models and their associated variants.