Published in

Hindawi Limited, 2022

DOI: 10.17863/cam.84766

Wiley, Human Mutation: Variation, Informatics and Disease, 2022

DOI: 10.1002/humu.24353

Links

Tools

Export citation

Search in Google Scholar

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

Journal article published in 2022 by Steven Laurie, Davide Piscia, Leslie Matalonga, Alberto Corvo, Alberto Corvo', Carles Garcia, Marcos Fernandez‐Callejo, Carles Garcia Linares, Carles Hernandez ORCID, Cristina Luengo, Anastasios Papakonstantinou Ntalis, Ines Martínez Martinez, Anastasios Papakonstantinou, Joan Protassio, Joan Protasio and other authors.
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Question mark in circle
Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown

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.