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. 2022 Jun;43(6):717-733.
doi: 10.1002/humu.24353.

The RD-Connect Genome-Phenome Analysis Platform: Accelerating diagnosis, research, and gene discovery for rare diseases

Affiliations

The RD-Connect Genome-Phenome Analysis Platform: Accelerating diagnosis, research, and gene discovery for rare diseases

Steven Laurie et al. Hum Mutat. 2022 Jun.

Abstract

Rare disease patients are more likely to receive a rapid molecular diagnosis nowadays thanks to the wide adoption of next-generation sequencing. However, many cases remain undiagnosed even after exome or genome analysis, because the methods used missed the molecular cause in a known gene, or a novel causative gene could not be identified and/or confirmed. To address these challenges, the RD-Connect Genome-Phenome Analysis Platform (GPAP) facilitates the collation, discovery, sharing, and analysis of standardized genome-phenome data within a collaborative environment. Authorized clinicians and researchers submit pseudonymised phenotypic profiles encoded using the Human Phenotype Ontology, and raw genomic data which is processed through a standardized pipeline. After an optional embargo period, the data are shared with other platform users, with the objective that similar cases in the system and queries from peers may help diagnose the case. Additionally, the platform enables bidirectional discovery of similar cases in other databases from the Matchmaker Exchange network. To facilitate genome-phenome analysis and interpretation by clinical researchers, the RD-Connect GPAP provides a powerful user-friendly interface and leverages tens of information sources. As a result, the resource has already helped diagnose hundreds of rare disease patients and discover new disease causing genes.

Keywords: NGS; data sharing; data standardization; diagnostics; genome analysis; patient matchmaking; rare diseases.

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Conflict of interest statement

Orion Buske is the CEO of PhenoTips. Jules Jacobsen is a consultant to Congenica. All other authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flow of genome‐phenome data in the RD‐Connect Genome‐Phenome Analysis Platform. Clinical scientists submit their data to the RD‐Connect GPAP wherein it is processed through a standard analysis pipeline. The variants identified are returned to the user via a user‐friendly interface where they can undertake filtration and prioritization to diagnose their rare disease cases. This effort is supported by the integration of data from a large variety of external resources, and through live links via APIs to other resources. When an inconclusive but interesting result is found, patient matchmaking may be performed using the Matchmaker Exchange API to query other similar resources around the world

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