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. 2021 Jun 1;29(9):1337–1347. doi: 10.1038/s41431-021-00852-7

Fig. 1. Programmatic reanalysis data workflow.

Fig. 1

Unsolved cases (RD-REAL datasets = phenotypic and genomic data) are submitted by Solve-RD members from the 4 core ERNs and the 2 UDPs participating in the project. Genomic data is processed through a standard analysis pipeline [15] and integrated with the phenotypic information in the RD-Connect GPAP. Analysis of the data using the programmatic approach described in this study is performed by the SNV-indel working group. The SNV-indel working group is one of the seven working groups established by the Solve-RD Data Analysis Task Force (DATF) to massively reanalyse data with different analytical approaches (e.g. CNV, somatic, meta-analysis, etc.) (http://solve-rd.eu/the-group/data-analysis-task-force/). The DATF involves data scientists and genomics experts from the project. Resulting candidate variants are submitted to the Data Interpretation Task Force (DITF), involving expert clinicians and geneticists for prioritisation and final interpretation. One DITF has been established for each of the core ERNs participating in the project (http://solve-rd.eu/the-group/data-interpretation-task-force-ditf/). DITF include or are in contact with case submitters to enable a final decision for a new patient diagnosis. Diagnosed cases are automatically updated in the system and the remaining unsolved cases are susceptible to re-enter a new round of analysis.