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9 results on '"Bullich, Gemma"'

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

Author

Laurie S, Piscia D, Matalonga L, Corvó A, Fernández-Callejo M, Garcia-Linares C, Hernandez-Ferrer C, Luengo C, Martínez I, Papakonstantinou A, Picó-Amador D, Protasio J, Thompson R, Tonda R, Bayés M, Bullich G, Camps-Puchadas J, Paramonov I, Trotta JR, Alonso A, Attimonelli M, Béroud C, Bros-Facer V, Buske OJ, Cañada-Pallarés A, Fernández JM, Hansson MG, Horvath R, Jacobsen JOB, Kaliyaperumal R, Lair-Préterre S, Licata L, Lopes P, López-Martín E, Mascalzoni D, Monaco L, Pérez-Jurado LA, Posada de la Paz M, Rambla J, Rath A, Riess O, Robinson PN, Salgado D, Smedley D, Spalding D, 't Hoen PAC, Töpf A, Zaharieva I, Graessner H, Gut IG, Lochmüller H, and Beltran S

Subjects
Exome, Genetic Association Studies, Humans, Phenotype, Genomics methods, Rare Diseases diagnosis, Rare Diseases genetics
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., (© 2022 The Authors. Human Mutation published by Wiley Periodicals LLC.)

Published
2022
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2. Systematic Collaborative Reanalysis of Genomic Data Improves Diagnostic Yield in Neurologic Rare Diseases.

Author

Bullich G, Matalonga L, Pujadas M, Papakonstantinou A, Piscia D, Tonda R, Artuch R, Gallano P, Garrabou G, González JR, Grinberg D, Guitart M, Laurie S, Lázaro C, Luengo C, Martí R, Milà M, Ovelleiro D, Parra G, Pujol A, Tizzano E, Macaya A, Palau F, Ribes A, Pérez-Jurado LA, and Beltran S

Subjects
Computational Biology, Exome, Humans, Exome Sequencing, Genomics, Rare Diseases diagnosis, Rare Diseases genetics
Abstract

Many patients experiencing a rare disease remain undiagnosed even after genomic testing. Reanalysis of existing genomic data has shown to increase diagnostic yield, although there are few systematic and comprehensive reanalysis efforts that enable collaborative interpretation and future reinterpretation. The Undiagnosed Rare Disease Program of Catalonia project collated previously inconclusive good quality genomic data (panels, exomes, and genomes) and standardized phenotypic profiles from 323 families (543 individuals) with a neurologic rare disease. The data were reanalyzed systematically to identify relatedness, runs of homozygosity, consanguinity, single-nucleotide variants, insertions and deletions, and copy number variants. Data were shared and collaboratively interpreted within the consortium through a customized Genome-Phenome Analysis Platform, which also enables future data reinterpretation. Reanalysis of existing genomic data provided a diagnosis for 20.7% of the patients, including 1.8% diagnosed after the generation of additional genomic data to identify a second pathogenic heterozygous variant. Diagnostic rate was significantly higher for family-based exome/genome reanalysis compared with singleton panels. Most new diagnoses were attributable to recent gene-disease associations (50.8%), additional or improved bioinformatic analysis (19.7%), and standardized phenotyping data integrated within the Undiagnosed Rare Disease Program of Catalonia Genome-Phenome Analysis Platform functionalities (18%)., (Copyright © 2022 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.)

Published
2022
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3. Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity.

Author

Matalonga L, Laurie S, Papakonstantinou A, Piscia D, Mereu E, Bullich G, Thompson R, Horvath R, Pérez-Jurado L, Riess O, Gut I, van Ommen GJ, Lochmüller H, and Beltran S

Subjects
Consanguinity, Exome, Genome, Human, Humans, Models, Genetic, Pedigree, Polymorphism, Single Nucleotide, Rare Diseases epidemiology, Rare Diseases ethnology, Homozygote, Molecular Diagnostic Techniques methods, Rare Diseases diagnosis, Rare Diseases genetics, Exome Sequencing methods
Abstract

Autozygosity is associated with an increased risk of genetic rare disease, thus being a relevant factor for clinical genetic studies. More than 2400 exome sequencing data sets were analyzed and screened for autozygosity on the basis of detection of >1 Mbp runs of homozygosity (ROHs). A model was built to predict if an individual is likely to be a consanguineous offspring (accuracy, 98%), and probability of consanguinity ranges were established according to the total ROH size. Application of the model resulted in the reclassification of the consanguinity status of 12% of the patients. The analysis of a subset of 79 consanguineous cases with the Rare Disease (RD)-Connect Genome-Phenome Analysis Platform, combining variant filtering and homozygosity mapping, enabled a 50% reduction in the number of candidate variants and the identification of homozygous pathogenic variants in 41 patients, with an overall diagnostic yield of 52%. The newly defined consanguinity ranges provide, for the first time, specific ROH thresholds to estimate inbreeding within a pedigree on disparate exome sequencing data, enabling confirmation or (re)classification of consanguineous status, hence increasing the efficiency of molecular diagnosis and reporting on secondary consanguinity findings, as recommended by American College of Medical Genetics and Genomics guidelines., (Copyright © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.)

Published
2020
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4. Solving unsolved rare neurological diseases-a Solve-RD viewpoint

Author

Schüle, Rebecca, Timmann, Dagmar, Erasmus, Corrie E., Reichbauer, Jennifer, Wayand, Melanie, Solve-RD-DITF-RND Baets Jonathan Balicza Peter Chinnery Patrick Dürr Alexandra Haack Tobias Hengel Holger Horvath Rita Houlden Henry Kamsteeg Erik-Jan Kamsteeg Christoph Lohmann Katja Macaya Alfons Marcé-Grau Anna Maver Ales Molnar Judit Münchau Alexander Peterlin Borut Riess Olaf Schöls Ludger European Reference Network for Rare Neurological Diseases, Tübingen, Germany Schüle Rebecca European Reference Network for Rare Neurological Diseases, Tübingen, Germany Stevanin Giovanni Synofzik Matthis European Reference Network for Rare Neurological Diseases, Tübingen, Germany Timmerman Vincent van de Warrenburg Bart Department of Neurology, Donders Centre for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands van Os Nienke Vandrovcova Jana Wayand Melanie German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen, Germany Wilke Carlo German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen, Germany, Baets, Jonathan, Balicza, Peter, Chinnery, Patrick, Dürr, Alexandra, Haack, Tobias, Hengel, Holger, Horvath, Rita, Houlden, Henry, Kamsteeg, Erik-Jan, Kamsteeg, Christoph, Lohmann, Katja, Macaya, Alfons, Marcé-Grau, Anna, Maver, Ales, Molnar, Judit, Münchau, Alexander, Peterlin, Borut, Riess, Olaf, Schöls, Ludger, Stevanin, Giovanni, Synofzik, Matthis, Timmerman, Vincent, van de Warrenburg, Bart, van Os, Nienke, Vandrovcova, Jana, Wilke, Carlo, Bevot, Andrea, Zuchner, Stephan, Beltran, Sergi, Laurie, Steven, Matalonga, Leslie, Graessner, Holm, The Solve-RD Consortium Graessner Holm Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany Zurek Birte Ellwanger Kornelia Ossowski Stephan Demidov German Sturm Marc Schulze-Hentrich Julia M. Heutink Peter Brunner Han Scheffer Hans Hoogerbrugge Nicoline Hoischen Alexander ’t Hoen Peter A. C. Vissers Lisenka E. L. M. Gilissen Christian Steyaert Wouter Sablauskas Karolis de Voer Richarda M. Janssen Erik de Boer Elke Steehouwer Marloes Yaldiz Burcu Kleefstra Tjitske Brookes Anthony J. Veal Colin Gibson Spencer Wadsley Marc Mehtarizadeh Mehdi Riaz Umar Warren Greg Dizjikan Farid Yavari Shorter Thomas Töpf Ana Straub Volker Bettolo Chiara Marini Specht Sabine Clayton-Smith Jill Banka Siddharth Alexander Elizabeth Jackson Adam Faivre Laurence Thauvin Christel Vitobello Antonio Denommé-Pichon Anne-Sophie Duffourd Yannis Tisserant Emilie Bruel Ange-Line Peyron Christine Pélissier Aurore Beltran Sergi Facultat de Biologia, Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona (UB), Barcelona, Spain Gut Ivo Glynne Laurie Steven CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain Piscia Davide Matalonga Leslie CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain Papakonstantinou Anastasios Bullich Gemma Corvo Alberto Garcia Carles Fernandez-Callejo Marcos Hernández Carles Picó Daniel Paramonov Ida Lochmüller Hanns Gumus Gulcin Bros-Facer Virginie Rath Ana Hanauer Marc Olry Annie Lagorce David Havrylenko Svitlana Izem Katia Rigour Fanny Durr Alexandra Davoine Claire-Sophie Guillot-Noel Léna Heinzmann Anna Coarelli Giulia Bonne Gisèle Evangelista Teresinha Allamand Valérie Nelson Isabelle Yaou Rabah Ben Metay Corinne Eymard Bruno Cohen Enzo Atalaia Antonio Stojkovic Tanya Macek Milan Jr. Turnovec Marek Thomasová Dana Kremliková Radka Pourová Franková Vera Havlovicová Markéta Kremlik Vlastimil Parkinson Helen Keane Thomas Spalding Dylan Senf Alexander Robinson Peter Danis Daniel Robert Glenn Costa Alessia Patch Christine Hanna Mike Houlden Henry Reilly Mary Vandrovcova Jana Muntoni Francesco Zaharieva Irina Sarkozy Anna de Jonghe Peter Nigro Vincenzo Banfi Sandro Torella Annalaura Musacchia Francesco Piluso Giulio Ferlini Alessandra Selvatici Rita Rossi Rachele Neri Marcella Aretz Stefan Spier Isabel Sommer Anna Katharina Peters Sophia Oliveira Carla Pelaez Jose Garcia Matos Ana Rita José Celina São Ferreira Marta Gullo Irene Fernandes Susana Garrido Luzia Ferreira Pedro Carneiro Fátima Swertz Morris A. Johansson Lennart van der Velde Joeri K. van der Vries Gerben Neerincx Pieter B. Roelofs-Prins Dieuwke Köhler Sebastian Metcalfe Alison Verloes Alain Drunat Séverine Rooryck Caroline Trimouille Aurelien Castello Raffaele Morleo Manuela Pinelli Michele Varavallo Alessandra De la Paz Manuel Posada Sánchez Eva Bermejo Martín Estrella López Delgado Beatriz Martínez de la Rosa F. Javier Alonso García Ciolfi Andrea Dallapiccola Bruno Pizzi Simone Radio Francesca Clementina Tartaglia Marco Renieri Alessandra Benetti Elisa Balicza Peter Molnar Maria Judit Maver Ales Peterlin Borut Münchau Alexander Lohmann Katja Herzog Rebecca Pauly Martje Macaya Alfons Marcé-Grau Anna Osorio Andres Nascimiento de Benito Daniel Natera Lochmüller Hanns Thompson Rachel Polavarapu Kiran Beeson David Cossins Judith Cruz Pedro M. Rodriguez Hackman Peter Johari Mridul Savarese Marco Udd Bjarne Horvath Rita Capella Gabriel Valle Laura Holinski-Feder Elke Laner Andreas Steinke-Lange Verena Schröck Evelin Rump Andreas, Zurek, Birte, Ellwanger, Kornelia, Ossowski, Stephan, Demidov, German, Sturm, Marc, Schulze-Hentrich, Julia M., Heutink, Peter, Brunner, Han, Scheffer, Hans, Hoogerbrugge, Nicoline, Hoischen, Alexander, ’t Hoen, Peter A. C., Vissers, Lisenka E. L. M., Gilissen, Christian, Steyaert, Wouter, Sablauskas, Karolis, de Voer, Richarda M., Janssen, Erik, de Boer, Elke, Steehouwer, Marloes, Yaldiz, Burcu, Kleefstra, Tjitske, Brookes, Anthony J., Veal, Colin, Gibson, Spencer, Wadsley, Marc, Mehtarizadeh, Mehdi, Riaz, Umar, Warren, Greg, Dizjikan, Farid Yavari, Shorter, Thomas, Töpf, Ana, Straub, Volker, Bettolo, Chiara Marini, Specht, Sabine, Clayton-Smith, Jill, Banka, Siddharth, Alexander, Elizabeth, Jackson, Adam, Faivre, Laurence, Thauvin, Christel, Vitobello, Antonio, Denommé-Pichon, Anne-Sophie, Duffourd, Yannis, Tisserant, Emilie, Bruel, Ange-Line, Peyron, Christine, Pélissier, Aurore, Gut, Ivo Glynne, Piscia, Davide, Papakonstantinou, Anastasios, Bullich, Gemma, Corvo, Alberto, Garcia, Carles, Fernandez-Callejo, Marcos, Hernández, Carles, Picó, Daniel, Paramonov, Ida, Lochmüller, Hanns, Gumus, Gulcin, Bros-Facer, Virginie, Rath, Ana, Hanauer, Marc, Olry, Annie, Lagorce, David, Havrylenko, Svitlana, Izem, Katia, Rigour, Fanny, Durr, Alexandra, Davoine, Claire-Sophie, Guillot-Noel, Léna, Heinzmann, Anna, Coarelli, Giulia, Bonne, Gisèle, Evangelista, Teresinha, Allamand, Valérie, Nelson, Isabelle, Yaou, Rabah Ben, Metay, Corinne, Eymard, Bruno, Cohen, Enzo, Atalaia, Antonio, Stojkovic, Tanya, Macek, Milan, Turnovec, Marek, Thomasová, Dana, Kremliková, Radka Pourová, Franková, Vera, Havlovicová, Markéta, Kremlik, Vlastimil, Parkinson, Helen, Keane, Thomas, Spalding, Dylan, Senf, Alexander, Robinson, Peter, Danis, Daniel, Robert, Glenn, Costa, Alessia, Patch, Christine, Hanna, Mike, Reilly, Mary, Muntoni, Francesco, Zaharieva, Irina, Sarkozy, Anna, de Jonghe, Peter, Nigro, Vincenzo, Banfi, Sandro, Torella, Annalaura, Musacchia, Francesco, Piluso, Giulio, Ferlini, Alessandra, Selvatici, Rita, Rossi, Rachele, Neri, Marcella, Aretz, Stefan, Spier, Isabel, Sommer, Anna Katharina, Peters, Sophia, Oliveira, Carla, Pelaez, Jose Garcia, Matos, Ana Rita, José, Celina São, Ferreira, Marta, Gullo, Irene, Fernandes, Susana, Garrido, Luzia, Ferreira, Pedro, Carneiro, Fátima, Swertz, Morris A., Johansson, Lennart, van der Velde, Joeri K., van der Vries, Gerben, Neerincx, Pieter B., Roelofs-Prins, Dieuwke, Köhler, Sebastian, Metcalfe, Alison, Verloes, Alain, Drunat, Séverine, Rooryck, Caroline, Trimouille, Aurelien, Castello, Raffaele, Morleo, Manuela, Pinelli, Michele, Varavallo, Alessandra, De la Paz, Manuel Posada, Sánchez, Eva Bermejo, Martín, Estrella López, Delgado, Beatriz Martínez, de la Rosa, F. Javier Alonso García, Ciolfi, Andrea, Dallapiccola, Bruno, Pizzi, Simone, Radio, Francesca Clementina, Tartaglia, Marco, Renieri, Alessandra, Benetti, Elisa, Molnar, Maria Judit, Herzog, Rebecca, Pauly, Martje, Osorio, Andres Nascimiento, de Benito, Daniel Natera, Thompson, Rachel, Polavarapu, Kiran, Beeson, David, Cossins, Judith, Cruz, Pedro M. Rodriguez, Hackman, Peter, Johari, Mridul, Savarese, Marco, Udd, Bjarne, Capella, Gabriel, Valle, Laura, Holinski-Feder, Elke, Laner, Andreas, Steinke-Lange, Verena, Schröck, Evelin, Rump, Andreas, Solve-RD-DITF-RND, Solve-RD Consortium, Schule, R., Timmann, D., Erasmus, C. E., Reichbauer, J., Wayand, M., van de Warrenburg, B., Schols, L., Wilke, C., Bevot, A., Zuchner, S., Beltran, S., Laurie, S., Matalonga, L., Graessner, H., Synofzik, M., Nigro, V., Banfi, S., Torella, A., Piluso, G., Medicum, University of Helsinki, Department of Medical and Clinical Genetics, Klinische Genetica, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA Klinische Genetica (5), Wilke, Carlo [0000-0002-7250-8597], Beltran, Sergi [0000-0002-2810-3445], Laurie, Steven [0000-0003-3913-5829], Graessner, Holm [0000-0001-9803-7183], Synofzik, Matthis [0000-0002-2280-7273], and Apollo - University of Cambridge Repository

Subjects
genetics [Rare Diseases], lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Medizin, Datasets as Topic, 0302 clinical medicine, Tumours of the digestive tract Radboud Institute for Molecular Life Sciences [Radboudumc 14], Medicine, Genetics (clinical), 0303 health sciences, methods [Genomics], Management science, Neurodevelopmental disorders, Neurodegenerative diseases, 030305 genetics & heredity, 1184 Genetics, developmental biology, physiology, Metabolic Disorders Radboud Institute for Molecular Life Sciences [Radboudumc 6], Genomics, Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3], genetics [Nervous System Diseases], 3. Good health, Chemistry, Practice Guidelines as Topic, Malalties rares, pathology [Rare Diseases], methods [Genetic Testing], Movement disorders, Other Research Donders Center for Medical Neuroscience [Radboudumc 0], Socio-culturale, standards [Exome Sequencing], standards [Genetic Testing], pathology [Nervous System Diseases], 03 medical and health sciences, Rare Diseases, Viewpoint, Exome Sequencing, Genetics, Humans, Genetic Testing, ddc:610, Biology, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, Sistema nerviós -- Malalties, methods [Exome Sequencing], standards [Genomics], 3111 Biomedicine, Human medicine, Nervous System Diseases, business, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19], 030217 neurology & neurosurgery
Abstract

Rare genetic neurological disorders (RND; ORPHA:71859) are a heterogeneous group of disorders comprising >1700 distinct genetic disease entities. However, genetic discoveries have not yet translated into dramatic increases of diagnostic yield and indeed rates of molecular genetic diagnoses have been stuck at about 30–50% across NGS modalities and RND phenotypes [1, 2]. Existence of yet unknown disease genes as well as shortcomings of commonly employed NGS technologies and analysis pipelines in detecting certain variant types are typically cited to explain the low diagnosis rates. To increase the diagnostic yield in RNDs - one of the four focus disease groups in Solve-RD - we follow two major approaches, that we will here present and exemplify: (i) systematic state-of the art re-analysis of large cohorts of unsolved whole-exome/genome sequencing (WES/WGS) RND datasets; and (ii) novel-omics approaches. Based on the way Solve-RD systematically organizes researchers’ expertise to channel this approach [3], the European Reference Network for Rare Neurological Diseases (ERN-RND) has established its own Data Interpretation Task Force (DITF) within SOLVE-RD, which is currently composed of clinical and genetic experts from 29 sites in 15 European countries. The Solve-RD project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 779257. Data were analysed using the RD‐Connect Genome‐Phenome Analysis Platform, which received funding from EU projects RD‐Connect, Solve-RD and EJP-RD (Grant Numbers FP7 305444, H2020 779257, H2020 825575), Instituto de Salud Carlos III (Grant Numbers PT13/0001/0044, PT17/0009/0019; Instituto Nacional de Bioinformática, INB) and ELIXIR Implementation Studies. The study was further funded by the Federal Ministry of Education and Research, Germany, through the TreatHSP network (01GM1905 to RS and LS), the National Institute of Neurological Diseases and Stroke (R01NS072248 to SZ and RS), the European Joint Program on Rare Diseases-EJP-RD COFUND-EJP N° 825575 through funding for the PROSPAX consortium (441409627 to MS, RS and BvW). CW was supported by the PATE program of the Medical Faculty, University of Tübingen. CEE received support from the Dutch Princess Beatrix Muscle Fund and the Dutch Spieren voor Spieren Muscle fund. Authors on this paper are members of the European Reference Network for Rare Neurological Diseases (ERN-RND, Project ID 739510)

Published
2021

5. The RD-connect genome-phenome analysis platform: accelerating diagnosis, research, and gene discovery for rare diseases

Author

Laurie, Steven, Piscia, Davide, Matalonga, Leslie, Corvó, Alberto, Fernández-Callejo, Marcos, Garcia-Linares, Carles, Hernandez-Ferrer, Carles, Luengo, Cristina, Martínez, Inés, Papakonstantinou, Anastasios, Picó-Amador, Daniel, Protasio, Joan, Thompson, Rachel, Tonda, Raul, Bayés, Mònica, Bullich, Gemma, Camps-Puchadas, Jordi, Paramonov, Ida, Trotta, Jean-Rémi, Alonso, Angel, Attimonelli, Marcella, Béroud, Christophe, Bros-Facer, Virginie, Buske, Orion J, Cañada-Pallarés, Andrés, Fernández, José M, Hansson, Mats G, Horvath, Rita, Jacobsen, Julius O B, Kaliyaperumal, Rajaram, Lair-Préterre, Séverine, Licata, Luana, Lopes, Pedro, López-Martín, Estrella, Mascalzoni, Deborah, Monaco, Lucia, Pérez-Jurado, Luis A, Posada De la Paz, Manuel, Rambla, Jordi, Rath, Ana, Riess, Olaf, Robinson, Peter N, Salgado, David, Smedley, Damian, Spalding, Dylan, 't Hoen, Peter A C, Töpf, Ana, Zaharieva, Irina, Graessner, Holm, Gut, Ivo G, Lochmüller, Hanns, Beltran, Sergi, Corvo, Alberto, Garcia, Carles, Fernandez‐Callejo, Marcos, Hernandez, Carles, Ntalis, Anastasios Papakonstantinou, Protassio, Joan, Martinez, Ines, Pico, Daniel, Bayes, Monica, Camps, Jordi, Trotta, Jean‐Remi, Bros‐Facer, Virginie, Buske, Orion, Cañada, Andrés, Fernandez, Josè Maria, Hansson, Mats, Jacobsen, Julius, Lair, Severine, López‐Martin, Estrella, Jurado, Luis Pérez, Posada, Manuel, Robinson, Peter, Spalding, Dylan J., 't Hoen, Peter‐Bram, Gut, Ivo, Lochmúller, Hanns, Universidad Pública de Navarra. Departamento de Ciencias de la Salud, Nafarroako Unibertsitate Publikoa. Osasun Zientziak Saila, Gobierno de Navarra / Nafarroako Gobernua, Laurie, Steven [0000-0003-3913-5829], Piscia, Davide [0000-0002-0468-0408], Matalonga, Leslie [0000-0003-0807-2570], Corvó, Alberto [0000-0003-0174-2818], Fernández-Callejo, Marcos [0000-0002-9968-3766], Garcia-Linares, Carles [0000-0002-0558-2498], Hernandez-Ferrer, Carles [0000-0002-8029-7160], Luengo, Cristina [0000-0003-1612-8706], Martínez, Inés [0000-0002-2062-3120], Papakonstantinou, Anastasios [0000-0003-4301-3859], Picó-Amador, Daniel [0000-0001-5254-2184], Protasio, Joan [0000-0001-6342-8096], Thompson, Rachel [0000-0002-6889-0121], Tonda, Raul [0000-0001-7893-2404], Bayés, Mònica [0000-0002-8271-3076], Bullich, Gemma [0000-0002-0737-4422], Camps-Puchadas, Jordi [0000-0001-8763-9947], Paramonov, Ida [0000-0001-8666-6054], Trotta, Jean-Rémi [0000-0001-9548-8165], Alonso, Angel [0000-0001-5111-310X], Attimonelli, Marcella [0000-0003-2091-8364], Béroud, Christophe [0000-0003-2986-8738], Buske, Orion J [0000-0002-9064-092X], Cañada-Pallarés, Andrés [0000-0003-1284-3737], Fernández, José M [0000-0002-4806-5140], Hansson, Mats G [0000-0002-4053-8468], Horvath, Rita [0000-0002-9841-170X], Jacobsen, Julius OB [0000-0002-3265-1591], Kaliyaperumal, Rajaram [0000-0002-1215-167X], Licata, Luana [0000-0001-5084-9000], Lopes, Pedro [0000-0001-5330-6562], López-Martín, Estrella [0000-0003-3212-1424], Mascalzoni, Deborah [0000-0003-4156-1464], Monaco, Lucia [0000-0001-5620-1790], Posada de la Paz, Manuel [0000-0002-8372-4180], Rambla, Jordi [0000-0001-9091-257X], Rath, Ana [0000-0003-4308-6337], Riess, Olaf [0000-0002-7011-1369], Robinson, Peter N [0000-0002-0736-9199], Smedley, Damian [0000-0002-5836-9850], Spalding, Dylan [0000-0002-4285-2493], 't Hoen, Peter AC [0000-0003-4450-3112], Töpf, Ana [0000-0002-9227-2526], Zaharieva, Irina [0000-0002-7663-6297], Graessner, Holm [0000-0001-9803-7183], Gut, Ivo G [0000-0001-7219-632X], Lochmüller, Hanns [0000-0003-2324-8001], Beltran, Sergi [0000-0002-2810-3445], Apollo - University of Cambridge Repository, Unión Europea. Comisión Europea. H2020, Unión Europea. Comisión Europea. 7 Programa Marco, Instituto de Salud Carlos III, Instituto Nacional de Bioinformática (España), Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Government of Catalonia (España), Gobierno de Navarra (España), NIH - National Institute of Child Health and Human Development (NICHD) (Estados Unidos), Ministerio de Economía, Industria y Competitividad (España), Ministerio de Ciencia e Innovación. Centro de Excelencia Severo Ochoa (España), Canadian Institutes of Health Research, Canadia, Comunidad Foral de Navarra (España), European Reference Network for Rare Neurological Diseases (ERN-RND), Muscular Dystrophy Canada, Canada Foundation for Innovation, and Canada Research Chairs

Subjects
Settore BIO/18, data sharing, patient matchmaking, rare diseases, Genomics, Genome analysis, Rare diseases, Phenotype, Patient matchmaking, Data standardization, NGS, Genetics, diagnostics, Humans, Exome, Data sharing, data standardization, genome analysis, Medical Genetics, Diagnostics, Genetics (clinical), Genetic Association Studies, Medicinsk genetik
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. We acknowledge the support of the developers of PhenoTips, which was used in the past by RD-Connect and NeurOmics as the primary tool to collate phenotypic data. We would also like to thank the leaders and members of the Instituto Nacional de Bioinformática (INB) and ELIXIR for their support and collaboration throughout the years. RD-Connect (RD-Connect, an integrated platform connecting registries, biobanks, and clinical bioinformatics) received funding from the Seventh Framework (FP7) Programme of the European Union under grant agreement No 305444. Data were analyzed using the RD-Connect GPAP, which received funding from EU projects Solve-RD, EJP-RD (grant numbers H2020 779257, H2020 825575), Instituto de Salud Carlos III (Grant numbers PT13/0001/0044, PT17/0009/0019; Instituto Nacional de Bioinformática, INB), ELIXIR-EXCELERATE (Grant number EU H2020 #676559) and ELIXIR Implementation Studies (Remote real-time visualization of human rare disease genomics data (RD-Connect) stored at the EGA ELIXIR. 2017-2018; ELIXIR IT-2017-INTEGRATION, Rare Disease Infrastructure ELIXIR, 2019-2020 and the Beacon ELIXIR, 2019-2021). The RD-Connect GPAP has leveraged developments funded through project VEIS (001-P-001647 co-financed by the European Regional Development Fund of the European Union in the framework of the Operational Program FEDER of Catalonia 2014-2020 with the support of the Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya) and URD-Cat (PERIS SLT002/16/00174, Departament de Salut, Generalitat de Catalunya). The research leading to these results has received funding from Consequitur (Newton Fund UK/Turkey, MR/N027302/1), BBMRI-LPC (EU FP7 #313010), NeurOmics (EU FP7 #305121), the Economic Development Department of the Navarra Government (Grant number 001114112017), the European Reference Network for Rare Neurological Diseases (Project ID number 739510) and NIH, National Institute of Child Health and Human Development (1R01HD103805-01). We acknowledge the support of the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) to the EMBL partnership, the Centro de Excelencia Severo Ochoa, and the CERCA Program/Generalitat de Catalunya. We also acknowledge the support of the Generalitat de Catalunya through Departament de Salut and Departament d'Empresa i Coneixement and Co-financing by the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) with funds from the European Regional Development Fund (ERDF) corresponding to the 2014-2020 Smart Growth Operating Program. HL receives support from the Canadian Institutes of Health Research (Foundation Grant FDN-167281), the Canadian Institutes of Health Research and Muscular Dystrophy Canada (Network Catalyst Grant for NMD4C), the Canada Foundation for Innovation (CFI-JELF 38412), and the Canada Research Chairs program (Canada Research Chair in Neuromuscular Genomics and Health, 950-232279).

Published
2022

6. Systematic Collaborative Reanalysis of Genomic Data Improves Diagnostic Yield in Neurologic Rare Diseases

Author

Bullich, Gemma, Matalonga, Leslie, Pujadas, Montserrat, Papakonstantinou, Anastasios, Piscia, Davide, Tonda, Raúl, Artuch, Rafael, Gallano, Pia, Garrabou, Glòria, González, Juan R., Grinberg, Daniel, Guitart, Míriam, Laurie, Steven, Lázaro, Conxi, Luengo, Cristina, Martí, Ramon, Milà, Montserrat, Ovelleiro, David, Parra, Genís, Pujol, Aurora, Tizzano, Eduardo, Macaya Ruiz, Alfons, Palau, Francesc, Ribes, Antònia, Pérez-Jurado, Luis A., Beltran, Sergi, Schlüter, Agatha, Rodriguez-Palmero, Agustí, Cáceres, Alejandro, Nascimento, Andrés, García-Cazorla, Àngels, Cueto-González, Anna, Marcé-Grau, Anna, Ruiz Nel Lo, Anna, Martínez-Monseny, Antonio, Sànchez, Aurora, García, Belén, Pérez-Dueñas, Belén, Gel, Bernat, Fusté, Berta, Hernández-Ferrer, Carles, Casasnovas, Carlos, Ortez, Carlos, Arjona, César, Hernando-Davalillo, Cristina, Natera de Benito, Daniel, Picó Amador, Daniel, Gómez-Andrés, David, Yubero, Délia, Pelegrí-Sisó, Dolors, Verdura, Edgard, García-Arumí, Elena, Castellanos, Elisabeth, Gabau, Elisabeth, Tobías, Ester, López-Grondona, Fermina, Cardellach, Francesc, Garcia-Garcia, Francesc Josep, Munell, Francina, Tort, Frederic, Aznar, Gemma, Olivé-Cirera, Gemma, Tell, Gemma, Muñoz-Pujol, Gerard, Paramonov, Ida, Blanco, Ignacio, Madrigal, Irene, Valenzuela, Irene, Gut, Ivo, Cusco, Ivon, Trotta, Jean-Rémi, Cruz, Jordi, Diaz-Manera, Jordi, Milisenda, José César, Ma Grau, Josep, Garcia-Villoria, Judit, Armstrong, Judith, Cantó, Judith, Sala-Coromina, Júlia, Rodríguez-Revenga, Laia, Alias, Laura, Gort, Laura, González-Quereda, Lídia, Costa, Mar, Fernández-Callejo, Marcos, López-Sánchez, Marcos, Álvarez-Mora, Maria Isabel, Gut, Marta, Serrano, Mercedes, Raspall-Chaure, Miquel, Del Toro, Mireia, Bayés, Mònica, Baena Díez, Neus, Spataro, Nino, Capdevila, Núria, Ugarteburu, Olatz, Muñoz-Cabello, Patricia, Romero Duque, Penélope, Rabionet, Raquel, Rojas-García, Ricardo, Calvo, Rosa, Urreizti, Roser, Bernal, Sara, Boronat, Susana, Balcells, Susanna, Vendrell, Teresa, and Universitat Autònoma de Barcelona

Subjects
biology, rare disease, Computational Biology, Nervous system Diseases, Genomics, Whole Exome Sequencing, Pathology and Forensic Medicine, Malalties del sistema nerviós, Genòmica, Rare Diseases, Exome Sequencing, genomics, Molecular Medicine, Humans, genetics, Exome, human, Malalties rares
Abstract

Many patients experiencing a rare disease remain undiagnosed even after genomic testing. Reanalysis of existing genomic data has shown to increase diagnostic yield, although there are few systematic and comprehensive reanalysis efforts that enable collaborative interpretation and future reinterpretation. The Undiagnosed Rare Disease Program of Catalonia project collated previously inconclusive good quality genomic data (panels, exomes, and genomes) and standardized phenotypic profiles from 323 families (543 individuals) with a neurologic rare disease. The data were reanalyzed systematically to identify relatedness, runs of homozygosity, consanguinity, single-nucleotide variants, insertions and deletions, and copy number variants. Data were shared and collaboratively interpreted within the consortium through a customized Genome-Phenome Analysis Platform, which also enables future data reinterpretation. Reanalysis of existing genomic data provided a diagnosis for 20.7% of the patients, including 1.8% diagnosed after the generation of additional genomic data to identify a second pathogenic heterozygous variant. Diagnostic rate was significantly higher for family-based exome/genome reanalysis compared with singleton panels. Most new diagnoses were attributable to recent gene-disease associations (50.8%), additional or improved bioinformatic analysis (19.7%), and standardized phenotyping data integrated within the Undiagnosed Rare Disease Program of Catalonia Genome-Phenome Analysis Platform functionalities (18%). Supported by Generalitat de Catalunya through Departament de Salut (SLT002/16/00174 to URD-Cat consortium) and Departament d’Empresa i Coneixement and the CERCA Program; FP7 and H2020 EU projects RD-Connect, Solve-RD, and EJP-RD grants FP7 305444, H2020 779257, and H2020 825575 for CNAG-CRG; Spanish Ministry of Science and Innovation to the EMBL partnership and through the Instituto de Salud Carlos III grants PT13/0001/0044 and PT17/0009/0019 for CNAG-CRG and grants PI16/01048, PI19/01310, PI18/00451, PI18/00498, and PI21/00935 for IDIBAPS (Instituto Nacional de Bioinformática); ELIXIR Implementation Studies (CNAG-CRG); Centro de Investigaciones Biomédicas en Red de Enfermedades Raras; Centro de Excelencia Severo Ochoa grant SEV-2016-0571 (CNAG-CRG) and grant CEX 2018-000806-S (ISGLOBAL); and cofinancing with funds from the European Regional Development Fund by the Spanish Ministry of Science and Innovation corresponding to the Programa Operativo FEDER Plurirregional de España (POPE) 2014 to 2020 and by the Secretaria d’Universitats i Recerca, Departament d’Empresa i Coneixement of the Generalitat de Catalunya corresponding to the Programa Operatiu FEDER de Catalunya 2014 to 2020.

Published
2022

7. Solving patients with rare diseases through programmatic reanalysis of genome-phenome data

Author

Matalonga, Leslie, Hernández-Ferrer, Carles, DITF-ITHACA, Solve-RD, Verloes, Alain, Vissers, Lisenka, Vitobello, Antonio, Votypka, Pavel, Vyshka, Klea, Zurek, Birte, Baets, Jonathan, Beijer, Danique, Bonne, Gisèle, Cohen, Enzo, DITF-euroNMD, Solve-RD, Cossins, Judith, Evangelista, Teresinha, Ferlini, Alessandra, Hackman, Peter, Hanna, Michael G, Horvath, Rita, Houlden, Henry, Johari, Mridul, Lau, Jarred, Lochmüller, Hanns, DITF-RND, Solve-RD, Macken, William L, Musacchia, Francesco, Nascimento, Andres, Natera-de Benito, Daniel, Nigro, Vincenzo, Piluso, Giulio, Pini, Veronica, Pitceathly, Robert D S, Polavarapu, Kiran, Cruz, Pedro M Rodriguez, Tonda, Raul, Sarkozy, Anna, Savarese, Marco, Selvatici, Rita, Thompson, Rachel, Udd, Bjarne, Van de Vondel, Liedewei, Vandrovcova, Jana, Zaharieva, Irina, Balicza, Peter, Laurie, Steven, Chinnery, Patrick, Dürr, Alexandra, Haack, Tobias, Hengel, Holger, Kamsteeg, Erik-Jan, Kamsteeg, Christoph, Lohmann, Katja, Macaya, Alfons, Marcé-Grau, Anna, Fernandez-Callejo, Marcos, Maver, Ales, Molnar, Judit, Münchau, Alexander, Peterlin, Borut, Riess, Olaf, Schöls, Ludger, Schüle-Freyer, Rebecca, Stevanin, Giovanni, Synofzik, Matthis, Timmerman, Vincent, Picó, Daniel, van de Warrenburg, Bart, van Os, Nienke, Wayand, Melanie, Wilke, Carlo, Haack, Tobias B, Graessner, Holm, Ellwanger, Kornelia, Ossowski, Stephan, Demidov, German, Garcia-Linares, Carles, Sturm, Marc, Schulze-Hentrich, Julia M, Kessler, Christoph, Heutink, Peter, Brunner, Han, Scheffer, Hans, Papakonstantinou, Anastasios, Hoogerbrugge, Nicoline, 't Hoen, Peter A C, Steyaert, Wouter, Sablauskas, Karolis, Te Paske, Iris, Janssen, Erik, Steehouwer, Marloes, Yaldiz, Burcu, Corvó, Alberto, Brookes, Anthony J, Veal, Colin, Gibson, Spencer, Wadsley, Marc, Mehtarizadeh, Mehdi, Riaz, Umar, Warren, Greg, Dizjikan, Farid Yavari, Shorter, Thomas, Straub, Volker, Piscia, Davide, Joshi, Ricky, Bettolo, Chiara Marini, Specht, Sabine, Clayton-Smith, Jill, Banka, Siddharth, Alexander, Elizabeth, Jackson, Adam, Faivre, Laurence, Thauvin, Christel, Duffourd, Yannis, Tisserant, Emilie, Diez, Hector, Bruel, Ange-Line, Peyron, Christine, Pélissier, Aurore, Beltran, Sergi, Gut, Ivo Glynne, Bullich, Gemma, Gut, Ivo, Corvo, Alberto, Garcia, Carles, Hernández, Carles, Paramonov, Ida, Gumus, Gulcin, Bros-Facer, Virginie, Rath, Ana, Hoischen, Alexander, Hanauer, Marc, Olry, Annie, Lagorce, David, Havrylenko, Svitlana, Izem, Katia, Rigour, Fanny, Davoine, Claire-Sophie, Guillot-Noel, Léna, Heinzmann, Anna, Coarelli, Giulia, Allamand, Valérie, Nelson, Isabelle, Yaou, Rabah Ben, Metay, Corinne, Eymard, Bruno, Atalaia, Antonio, Stojkovic, Tanya, Macek, Milan, Turnovec, Marek, Thomasová, Dana, Kremliková, Radka Pourová, Franková, Vera, Havlovicová, Markéta, Kremlik, Vlastimil, Parkinson, Helen, Keane, Thomas, Consortia, Solve-RD, Spalding, Dylan, Senf, Alexander, Danis, Daniel, Robert, Glenn, Costa, Alessia, Patch, Christine, Hanna, Mike, Reilly, Mary, Muntoni, Francesco, de Jonghe, Peter, Banfi, Sandro, Torella, Annalaura, Cuesta, Isabel, Rossi, Rachele, Neri, Marcella, Aretz, Stefan, Spier, Isabel, Peters, Sophia, Oliveira, Carla, Pelaez, Jose Garcia, Matos, Ana Rita, José, Celina São, Ferreira, Marta, Gullo, Irene, Fernandes, Susana, Garrido, Luzia, Ferreira, Pedro, Carneiro, Fátima, Swertz, Morris A, Johansson, Lennart, van der Vries, Gerben, Neerincx, Pieter B, group, Solve-RD SNV-indel working, Denommé-Pichon, Anne-Sophie, Roelofs-Prins, Dieuwke, Köhler, Sebastian, Metcalfe, Alison, Rooryck, Caroline, Trimouille, Aurelien, Castello, Raffaele, Morleo, Manuela, Varavallo, Alessandra, De la Paz, Manuel Posada, Sánchez, Eva Bermejo, Martín, Estrella López, Delgado, Beatriz Martínez, de la Rosa, F Javier Alonso García, Radio, Francesca Clementina, Tartaglia, Marco, Renieri, Alessandra, Benetti, Elisa, Molnar, Maria Judit, Gilissen, Christian, Herzog, Rebecca, Pauly, Martje, Osorio, Andres Nascimiento, de Benito, Daniel Natera, Beeson, David, Capella, Gabriel, Valle, Laura, Holinski-Feder, Elke, Laner, Andreas, Steinke-Lange, Verena, Schröck, Evelin, Rump, Andreas, Li, Shuang, Prasanth, Sivakumar, Robinson, Peter, van der Velde, Joeri K, de Voer, Richarda M, Evans, Gareth, Sommer, Anna Katharina, Töpf, Ana, Paske, Iris Te, Tischkowitz, Marc, Casari, Giorgio, Ciolfi, Andrea, Dallapiccola, Bruno, de Boer, Elke, Vissers, Lisenka E L M, Hammarsjö, Anna, Havlovicova, Marketa, Hugon, Anne, de Voer, Richarda, Kleefstra, Tjitske, Lindstrand, Anna, López-Martín, Estrella, Nigro, Vicenzo, Nordgren, Ann, Pettersson, Maria, Pinelli, Michele, Pizzi, Simone, DITF-GENTURIS, Solve-RD, Posada, Manuel, Ryba, Lukas, Schwarz, Martin, Trimouille, Aurélien, Solve RD SNV Indel Working Grp, Solve RD DITF GENTURIS, Solve RD DITF ITHACA, Solve RD DITF-euroNMD, Solve RD DITF RND, Solve RD Consortia, Matalonga, L., Hernandez-Ferrer, C., Piscia, D., Cohen, E., Cuesta, I., Danis, D., Denomme-Pichon, A. -S., Duffourd, Y., Gilissen, C., Johari, M., Laurie, S., Li, S., Nelson, I., Peters, S., Paramonov, I., Prasanth, S., Robinson, P., Sablauskas, K., Savarese, M., Steyaert, W., van der Velde, J. K., Vitobello, A., Schule, R., Synofzik, M., Topf, A., Vissers, L. E. L. M., de Voer, R., Aretz, S., Capella, G., de Voer, R. M., Evans, G., Pelaez, J. G., Holinski-Feder, E., Hoogerbrugge, N., Laner, A., Oliveira, C., Rump, A., Schrock, E., Sommer, A. K., Steinke-Lange, V., Paske, I., Tischkowitz, M., Valle, L., Banka, S., Benetti, E., Casari, G., Ciolfi, A., Clayton-Smith, J., Dallapiccola, B., de Boer, E., Ellwanger, K., Faivre, L., Graessner, H., Haack, T. B., Hammarsjo, A., Havlovicova, M., Hoischen, A., Hugon, A., Jackson, A., Kleefstra, T., Lindstrand, A., Lopez-Martin, E., Macek, M., Morleo, M., Nigro, V., Nordgren, A., Pettersson, M., Pinelli, M., Pizzi, S., Posada, M., Radio, F. C., Renieri, A., Rooryck, C., Ryba, L., Schwarz, M., Tartaglia, M., Thauvin, C., Torella, A., Trimouille, A., Verloes, A., Vissers, L., Votypka, P., Vyshka, K., Zurek, B., Baets, J., Beijer, D., Bonne, G., Cossins, J., Evangelista, T., Ferlini, A., Hackman, P., Hanna, M. G., Horvath, R., Houlden, H., Lau, J., Lochmuller, H., Macken, W. L., Musacchia, F., Nascimento, A., Natera-de Benito, D., Piluso, G., Pini, V., Pitceathly, R. D. S., Polavarapu, K., Cruz, P. M. R., Sarkozy, A., Selvatici, R., Thompson, R., Udd, B., Van de Vondel, L., Vandrovcova, J., Zaharieva, I., Balicza, P., Chinnery, P., Durr, A., Haack, T., Hengel, H., Kamsteeg, E. -J., Kamsteeg, C., Lohmann, K., Macaya, A., Marce-Grau, A., Maver, A., Molnar, J., Munchau, A., Peterlin, B., Riess, O., Schols, L., Schule-Freyer, R., Stevanin, G., Timmerman, V., van de Warrenburg, B., van Os, N., Wayand, M., Wilke, C., Tonda, R., Fernandez-Callejo, M., Pico, D., Garcia-Linares, C., Papakonstantinou, A., Corvo, A., Joshi, R., Diez, H., Gut, I., Beltran, S., Ossowski, S., Demidov, G., Sturm, M., Schulze-Hentrich, J. M., Kessler, C., Heutink, P., Brunner, H., Scheffer, H., 't Hoen, P. A. C., te Paske, I., Janssen, E., Steehouwer, M., Yaldiz, B., Brookes, A. J., Veal, C., Gibson, S., Wadsley, M., Mehtarizadeh, M., Riaz, U., Warren, G., Dizjikan, F. Y., Shorter, T., Straub, V., Bettolo, C. M., Specht, S., Alexander, E., Tisserant, E., Bruel, A. -L., Peyron, C., Pelissier, A., Gut, I. G., Bullich, G., Garcia, C., Hernandez, C., Gumus, G., Bros-Facer, V., Rath, A., Hanauer, M., Olry, A., Lagorce, D., Havrylenko, S., Izem, K., Rigour, F., Davoine, C. -S., Guillot-Noel, L., Heinzmann, A., Coarelli, G., Allamand, V., Yaou, R. B., Metay, C., Eymard, B., Atalaia, A., Stojkovic, T., Turnovec, M., Thomasova, D., Kremlikova, R. P., Frankova, V., Kremlik, V., Parkinson, H., Keane, T., Spalding, D., Senf, A., Robert, G., Costa, A., Patch, C., Hanna, M., Reilly, M., Muntoni, F., de Jonghe, P., Banfi, S., Rossi, R., Neri, M., Spier, I., Matos, A. R., Jose, C. S., Ferreira, M., Gullo, I., Fernandes, S., Garrido, L., Ferreira, P., Carneiro, F., Swertz, M. A., Johansson, L., van der Vries, G., Neerincx, P. B., Roelofs-Prins, D., Kohler, S., Metcalfe, A., Castello, R., Varavallo, A., De la Paz, M. P., Sanchez, E. B., Martin, E. L., Delgado, B. M., de la Rosa, F. J. A. G., Molnar, M. J., Herzog, R., Pauly, M., Osorio, A. N., de Benito, D. N., Beeson, D., Unión Europea. Comisión Europea. H2020, Instituto de Salud Carlos III, Ministerio de Economía, Industria y Competitividad (España), Ministerio de Ciencia e Innovación. Centro de Excelencia Severo Ochoa (España), Government of Catalonia (España), Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Instituto Nacional de Bioinformatica (España), Klinische Genetica, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA Klinische Genetica (5), Instituto de Salud Global - Institute For Global Health [Barcelona] (ISGlobal), Instituto de Salud Carlos III [Madrid] (ISC), Radboud University Medical Center [Nijmegen], Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Equipe GAD (LNC - U1231), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Barcelona Institute of Science and Technology (BIST), Centre de recherche en Myologie – U974 SU-INSERM, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Folkhälsan Research Center, Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche en Myologie, University of Helsinki, Department of Medical and Clinical Genetics, Medicum, and Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)

Subjects
Genetic testing, Computer science, genetics [Rare Diseases], lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], EXOME, MEDICAL GENETICS, Diseases, Disease, VARIANTS, Genome informatics, Genomic analysis, Diseases, Genetic testing, Genome informatics, Genomic analysis, Tumours of the digestive tract Radboud Institute for Molecular Life Sciences [Radboudumc 14], Exome, Genetics (clinical), Exome sequencing, 0303 health sciences, Application programming interface, methods [Genomics], 030305 genetics & heredity, 1184 Genetics, developmental biology, physiology, Genomics, Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3], 3. Good health, Pedigree, diagnosis [Rare Diseases], Chemistry, Medical genetics, medicine.medical_specialty, methods [Genetic Testing], MEDLINE, Socio-culturale, Phenome, AMERICAN-COLLEGE, INHERITANCE, Sensitivity and Specificity, Article, standards [Genetic Testing], 03 medical and health sciences, Rare Diseases, [SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Genetics, medicine, Humans, ddc:610, Genetic Testing, Biology, 030304 developmental biology, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Data science, Workflow, 3111 Biomedicine, standards [Genomics], Human medicine, Software
Abstract

Correction to: Solving patients with rare diseases through programmatic reanalysis of genome-phenome data. Eur J Hum Genet. 2021 Sep;29(9):1466-1469. doi: 10.1038/s41431-021-00934-6. PMID: 34393220 Reanalysis of inconclusive exome/genome sequencing data increases the diagnosis yield of patients with rare diseases. However, the cost and efforts required for reanalysis prevent its routine implementation in research and clinical environments. The Solve-RD project aims to reveal the molecular causes underlying undiagnosed rare diseases. One of the goals is to implement innovative approaches to reanalyse the exomes and genomes from thousands of well-studied undiagnosed cases. The raw genomic data is submitted to Solve-RD through the RD-Connect Genome-Phenome Analysis Platform (GPAP) together with standardised phenotypic and pedigree data. We have developed a programmatic workflow to reanalyse genome-phenome data. It uses the RD-Connect GPAP's Application Programming Interface (API) and relies on the big-data technologies upon which the system is built. We have applied the workflow to prioritise rare known pathogenic variants from 4411 undiagnosed cases. The queries returned an average of 1.45 variants per case, which first were evaluated in bulk by a panel of disease experts and afterwards specifically by the submitter of each case. A total of 120 index cases (21.2% of prioritised cases, 2.7% of all exome/genome-negative samples) have already been solved, with others being under investigation. The implementation of solutions as the one described here provide the technical framework to enable periodic case-level data re-evaluation in clinical settings, as recommended by the American College of Medical Genetics. The Solve-RD project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779257. Data were analysed using the RD‐Connect Genome‐Phenome Analysis Platform, which received funding from EU projects RD‐Connect, Solve-RD and EJP-RD (grant numbers FP7 305444, H2020 779257, H2020 825575), Instituto de Salud Carlos III (grant numbers PT13/0001/0044, PT17/0009/0019; Instituto Nacional de Bioinformática, INB) and ELIXIR Implementation Studies. We acknowledge support of the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) to the EMBL partnership, the Centro de Excelencia Severo Ochoa and the CERCA Programme/Generalitat de Catalunya. We also acknowledge the support of the Generalitat de Catalunya through Departament de Salut and Departament d’Empresa i Coneixement and the Co-financing by the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) with funds from the European Regional Development Fund (ERDF) corresponding to the 2014-2020 Smart Growth Operating Program. Sí

Published
2021

8. Correction: Solving unsolved rare neurological diseases : A Solve-RD viewpoint

Author

Schüle-Freyer, Rebecca, Timmann, Dagmar, Zuchner, Stephan, Bullich, Gemma, Corvo, Alberto, Garcia, Carles, Fernandez-Callejo, Marcos, Hernández, Carles, Picó, Daniel, Paramonov, Ida, Lochmüller, Hanns, Gumus, Gulcin, Bros-Facer, Virginie, Beltran, Sergi, Rath, Ana, Hanauer, Marc, Olry, Annie, Lagorce, David, Havrylenko, Svitlana, Izem, Katia, Rigour, Fanny, Durr, Alexandra, Davoine, Claire-Sophie, Guillot-Noel, Léna, Laurie, Steven, Heinzmann, Anna, Coarelli, Giulia, Bonne, Gisèle, Evangelista, Teresinha, Allamand, Valérie, Nelson, Isabelle, Yaou, Rabah Ben, Metay, Corinne, Eymard, Bruno, Cohen, Enzo, Matalonga, Leslie, Atalaia, Antonio, Stojkovic, Tanya, Macek, Milan, Turnovec, Marek, Thomasová, Dana, Kremliková, Radka Pourová, Franková, Vera, Havlovicová, Markéta, Kremlik, Vlastimil, Parkinson, Helen, Graessner, Holm, Keane, Thomas, Spalding, Dylan, Senf, Alexander, Robinson, Peter, Danis, Daniel, Robert, Glenn, Costa, Alessia, Patch, Christine, Hanna, Mike, Houlden, Henry, Synofzik, Matthis, Reilly, Mary, Vandrovcova, Jana, Muntoni, Francesco, Zaharieva, Irina, Sarkozy, Anna, de Jonghe, Peter, Nigro, Vincenzo, Banfi, Sandro, Torella, Annalaura, Musacchia, Francesco, Consortium, Solve-RD, Piluso, Giulio, Ferlini, Alessandra, Selvatici, Rita, Rossi, Rachele, Neri, Marcella, Aretz, Stefan, Spier, Isabel, Sommer, Anna Katharina, Peters, Sophia, Oliveira, Carla, Baets, Jonathan, Pelaez, Jose Garcia, Matos, Ana Rita, José, Celina São, Ferreira, Marta, Gullo, Irene, Fernandes, Susana, Garrido, Luzia, Ferreira, Pedro, Carneiro, Fátima, Swertz, Morris A, Balicza, Peter, Johansson, Lennart, van der Velde, Joeri K, van der Vries, Gerben, Neerincx, Pieter B, Roelofs-Prins, Dieuwke, Köhler, Sebastian, Metcalfe, Alison, Verloes, Alain, Drunat, Séverine, Rooryck, Caroline, Chinnery, Patrick, Trimouille, Aurelien, Castello, Raffaele, Morleo, Manuela, Pinelli, Michele, Varavallo, Alessandra, De la Paz, Manuel Posada, Sánchez, Eva Bermejo, Martín, Estrella López, Delgado, Beatriz Martínez, de la Rosa, F Javier Alonso García, Erasmus, Corrie E, Dürr, Alexandra, Ciolfi, Andrea, Dallapiccola, Bruno, Pizzi, Simone, Radio, Francesca Clementina, Tartaglia, Marco, Renieri, Alessandra, Benetti, Elisa, Molnar, Maria Judit, Maver, Ales, Haack, Tobias, Peterlin, Borut, Münchau, Alexander, Lohmann, Katja, Herzog, Rebecca, Pauly, Martje, Macaya, Alfons, Marcé-Grau, Anna, Osorio, Andres Nascimiento, de Benito, Daniel Natera, Hengel, Holger, Thompson, Rachel, Polavarapu, Kiran, Beeson, David, Cossins, Judith, Cruz, Pedro M Rodriguez, Hackman, Peter, Johari, Mridul, Savarese, Marco, Udd, Bjarne, Horvath, Rita, Capella, Gabriel, Valle, Laura, Holinski-Feder, Elke, Laner, Andreas, Steinke-Lange, Verena, Schröck, Evelin, Rump, Andreas, Kamsteeg, Erik-Jan, Kamsteeg, Christoph, Reichbauer, Jennifer, Molnar, Judit, Riess, Olaf, Schöls, Ludger, Schüle, Rebecca, Stevanin, Giovanni, Timmerman, Vincent, Wayand, Melanie, van de Warrenburg, Bart, van Os, Nienke, Wilke, Carlo, Zurek, Birte, Ellwanger, Kornelia, Ossowski, Stephan, Demidov, German, Solve-RD-DITF-RND, Sturm, Marc, Schulze-Hentrich, Julia M, Heutink, Peter, Brunner, Han, Scheffer, Hans, Hoogerbrugge, Nicoline, Hoischen, Alexander, 't Hoen, Peter A C, Vissers, Lisenka E L M, Gilissen, Christian, Steyaert, Wouter, Sablauskas, Karolis, de Voer, Richarda M, Janssen, Erik, de Boer, Elke, Steehouwer, Marloes, Yaldiz, Burcu, Kleefstra, Tjitske, Brookes, Anthony J, Veal, Colin, Gibson, Spencer, Wadsley, Marc, Mehtarizadeh, Mehdi, Riaz, Umar, Warren, Greg, Dizjikan, Farid Yavari, Shorter, Thomas, Töpf, Ana, Straub, Volker, Bettolo, Chiara Marini, Specht, Sabine, Clayton-Smith, Jill, Banka, Siddharth, Alexander, Elizabeth, Jackson, Adam, Faivre, Laurence, Thauvin, Christel, Vitobello, Antonio, Denommé-Pichon, Anne-Sophie, Duffourd, Yannis, Bevot, Andrea, Tisserant, Emilie, Bruel, Ange-Line, Peyron, Christine, Pélissier, Aurore, Gut, Ivo Glynne, Piscia, Davide, and Papakonstantinou, Anastasios

Subjects
Rare Diseases, Practice Guidelines as Topic, Exome Sequencing, Genetics, Medizin, Correction, Datasets as Topic, Humans, Genetic Testing, Genomics, ddc:610, Nervous System Diseases, Genetics (clinical)
Abstract

In the original publication of the article, consortium author lists were missing in the article. Korrektur zu: 10.1038/s41431-021-00901-1

Published
2021

9. Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases

Author

Zurek, Birte, Ellwanger, Kornelia, Vissers, Lisenka E. L. M., Schüle, Rebecca, Synofzik, Matthis, Töpf, Ana, de Voer, Richarda M., Laurie, Steven, Matalonga, Leslie, Gilissen, Christian, Ossowski, Stephan, ’t Hoen, Peter A. C., Vitobello, Antonio, Schulze-Hentrich, Julia M., Riess, Olaf, Brunner, Han G., Brookes, Anthony J., Rath, Ana, Bonne, Gisèle, Gumus, Gulcin, Verloes, Alain, Hoogerbrugge, Nicoline, Evangelista, Teresinha, Harmuth, Tina, Swertz, Morris, Spalding, Dylan, Hoischen, Alexander, Beltran, Sergi, Graessner, Holm, Haack, Tobias B., Demidov, German, Sturm, Marc, Kessler, Christoph, Wayand, Melanie, Wilke, Carlo, Traschütz, Andreas, Schöls, Ludger, Hengel, Holger, Heutink, Peter, Brunner, Han, Scheffer, Hans, Steyaert, Wouter, Sablauskas, Karolis, Kamsteeg, Erik-Jan, van de Warrenburg, Bart, van Os, Nienke, te Paske, Iris, Janssen, Erik, de Boer, Elke, Steehouwer, Marloes, Yaldiz, Burcu, Kleefstra, Tjitske, Veal, Colin, Gibson, Spencer, Wadsley, Marc, Mehtarizadeh, Mehdi, Riaz, Umar, Warren, Greg, Dizjikan, Farid Yavari, Shorter, Thomas, Straub, Volker, Bettolo, Chiara Marini, Specht, Sabine, Clayton-Smith, Jill, Banka, Siddharth, Alexander, Elizabeth, Jackson, Adam, Faivre, Laurence, Thauvin, Christel, Denommé-Pichon, Anne-Sophie, Duffourd, Yannis, Tisserant, Emilie, Bruel, Ange-Line, Peyron, Christine, Pélissier, Aurore, Gut, Ivo Glynne, Piscia, Davide, Papakonstantinou, Anastasios, Bullich, Gemma, Corvo, Alberto, Garcia, Carles, Fernandez-Callejo, Marcos, Hernández, Carles, Picó, Daniel, Paramonov, Ida, Lochmüller, Hanns, Bros-Facer, Virginie, Hanauer, Marc, Olry, Annie, Lagorce, David, Havrylenko, Svitlana, Izem, Katia, Rigour, Fanny, Stevanin, Giovanni, Durr, Alexandra, Davoine, Claire-Sophie, Guillot-Noel, Léna, Heinzmann, Anna, Coarelli, Giulia, Allamand, Valérie, Nelson, Isabelle, Yaou, Rabah Ben, Metay, Corinne, Eymard, Bruno, Cohen, Enzo, Atalaia, Antonio, Stojkovic, Tanya, Macek, Milan, Turnovec, Marek, Thomasová, Dana, Kremliková, Radka Pourová, Franková, Vera, Havlovicová, Markéta, Kremlik, Vlastimil, Parkinson, Helen, Keane, Thomas, Senf, Alexander, Robinson, Peter, Danis, Daniel, Robert, Glenn, Costa, Alessia, Patch, Christine, Hanna, Mike, Houlden, Henry, Reilly, Mary, Vandrovcova, Jana, Muntoni, Francesco, Zaharieva, Irina, Sarkozy, Anna, Timmerman, Vincent, Baets, Jonathan, Van de Vondel, Liedewei, Beijer, Danique, de Jonghe, Peter, Nigro, Vincenzo, Banfi, Sandro, Torella, Annalaura, Musacchia, Francesco, Piluso, Giulio, Ferlini, Alessandra, Selvatici, Rita, Rossi, Rachele, Neri, Marcella, Aretz, Stefan, Spier, Isabel, Sommer, Anna Katharina, Peters, Sophia, Oliveira, Carla, Pelaez, Jose Garcia, Matos, Ana Rita, José, Celina São, Ferreira, Marta, Gullo, Irene, Fernandes, Susana, Garrido, Luzia, Ferreira, Pedro, Carneiro, Fátima, Swertz, Morris A., Johansson, Lennart, van der Velde, Joeri K., van der Vries, Gerben, Neerincx, Pieter B., Roelofs-Prins, Dieuwke, Köhler, Sebastian, Metcalfe, Alison, Drunat, Séverine, Rooryck, Caroline, Trimouille, Aurelien, Castello, Raffaele, Morleo, Manuela, Pinelli, Michele, Varavallo, Alessandra, De la Paz, Manuel Posada, Sánchez, Eva Bermejo, Martín, Estrella López, Delgado, Beatriz Martínez, de la Rosa, F. Javier Alonso García, Ciolfi, Andrea, Dallapiccola, Bruno, Pizzi, Simone, Radio, Francesca Clementina, Tartaglia, Marco, Renieri, Alessandra, Benetti, Elisa, Balicza, Peter, Molnar, Maria Judit, Maver, Ales, Peterlin, Borut, Münchau, Alexander, Lohmann, Katja, Herzog, Rebecca, Pauly, Martje, Macaya, Alfons, Marcé-Grau, Anna, Osorio, Andres Nascimiento, de Benito, Daniel Natera, Thompson, Rachel, Polavarapu, Kiran, Beeson, David, Cossins, Judith, Cruz, Pedro M. Rodriguez, Hackman, Peter, Johari, Mridul, Savarese, Marco, Udd, Bjarne, Horvath, Rita, Capella, Gabriel, Valle, Laura, Holinski-Feder, Elke, Laner, Andreas, Steinke-Lange, Verena, Schröck, Evelin, Rump, Andreas, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), RS: GROW - R4 - Reproductive and Perinatal Medicine, Klinische Genetica, MUMC+: DA Klinische Genetica (5), Zurek, Birte [0000-0002-8200-7542], Ellwanger, Kornelia [0000-0003-4845-5795], Vissers, Lisenka ELM [0000-0001-6470-5497], Synofzik, Matthis [0000-0002-2280-7273], de Voer, Richarda M [0000-0002-8222-0343], Laurie, Steven [0000-0003-3913-5829], Gilissen, Christian [0000-0003-1693-9699], 't Hoen, Peter AC [0000-0003-4450-3112], Vitobello, Antonio [0000-0003-3717-8374], Brookes, Anthony J [0000-0001-8686-0017], Rath, Ana [0000-0003-4308-6337], Bonne, Gisèle [0000-0002-2516-3258], Verloes, Alain [0000-0003-4819-0264], Hoogerbrugge, Nicoline [0000-0003-2393-8141], Harmuth, Tina [0000-0002-4833-8057], Spalding, Dylan [0000-0002-4285-2493], Beltran, Sergi [0000-0002-2810-3445], Graessner, Holm [0000-0001-9803-7183], Apollo - University of Cambridge Repository, Zurek, B., Ellwanger, K., Vissers, L. E. L. M., Schule, R., Synofzik, M., Topf, A., de Voer, R. M., Laurie, S., Matalonga, L., Gilissen, C., Ossowski, S., 't Hoen, P. A. C., Vitobello, A., Schulze-Hentrich, J. M., Riess, O., Brunner, H. G., Brookes, A. J., Rath, A., Bonne, G., Gumus, G., Verloes, A., Hoogerbrugge, N., Evangelista, T., Harmuth, T., Swertz, M., Spalding, D., Hoischen, A., Beltran, S., Graessner, H., Nigro, V., Banfi, S., Torella, A., Piluso, G., Dürr, Alexandra, Lohmann, Katja, Kessler, Christoph, Wayand, Melanie, Wilke, Carlo, Traschuetz, Andreas, Schöls, Ludger, Hengel, Holger, Heutink, Peter, University of Tübingen, Radboud University Medical Center [Nijmegen], Newcastle Upon Tyne Hospitals NHS Foundation Trust, Barcelona Institute of Science and Technology (BIST), Université Bourgogne Franche-Comté [COMUE] (UBFC), University of Leicester, Plateforme d'information et de services pour les maladies rares et les médicaments orphelins (Orphanet), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Broussais-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de recherche en Myologie – U974 SU-INSERM, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), EURORDIS-Rare Diseases Europe (Bureau de Paris), EURORDIS - Plateforme Maladies Rares [Paris], AP-HP Hôpital universitaire Robert-Debré [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), University Medical Center Groningen [Groningen] (UMCG), European Molecular Biology Laboratory [Hinxton], Universitat de Barcelona (UB), SOLVE-RD Consortium, Projekt DEAL, Unión Europea. Comisión Europea. H2020, European Reference Network for Rare Neurological Diseases (ERN-RND), Haack, T. B., Demidov, G., Sturm, M., Kessler, C., Wayand, M., Wilke, C., Traschutz, A., Schols, L., Hengel, H., Heutink, P., Brunner, H., Scheffer, H., Steyaert, W., Sablauskas, K., Kamsteeg, E. -J., van de Warrenburg, B., van Os, N., te Paske, I., Janssen, E., de Boer, E., Steehouwer, M., Yaldiz, B., Kleefstra, T., Veal, C., Gibson, S., Wadsley, M., Mehtarizadeh, M., Riaz, U., Warren, G., Dizjikan, F. Y., Shorter, T., Straub, V., Bettolo, C. M., Specht, S., Clayton-Smith, J., Banka, S., Alexander, E., Jackson, A., Faivre, L., Thauvin, C., Denomme-Pichon, A. -S., Duffourd, Y., Tisserant, E., Bruel, A. -L., Peyron, C., Pelissier, A., Gut, I. G., Piscia, D., Papakonstantinou, A., Bullich, G., Corvo, A., Garcia, C., Fernandez-Callejo, M., Hernandez, C., Pico, D., Paramonov, I., Lochmuller, H., Bros-Facer, V., Hanauer, M., Olry, A., Lagorce, D., Havrylenko, S., Izem, K., Rigour, F., Stevanin, G., Durr, A., Davoine, C. -S., Guillot-Noel, L., Heinzmann, A., Coarelli, G., Allamand, V., Nelson, I., Yaou, R. B., Metay, C., Eymard, B., Cohen, E., Atalaia, A., Stojkovic, T., Macek, M., Turnovec, M., Thomasova, D., Kremlikova, R. P., Frankova, V., Havlovicova, M., Kremlik, V., Parkinson, H., Keane, T., Senf, A., Robinson, P., Danis, D., Robert, G., Costa, A., Patch, C., Hanna, M., Houlden, H., Reilly, M., Vandrovcova, J., Muntoni, F., Zaharieva, I., Sarkozy, A., Timmerman, V., Baets, J., Van de Vondel, L., Beijer, D., de Jonghe, P., Musacchia, F., Ferlini, A., Selvatici, R., Rossi, R., Neri, M., Aretz, S., Spier, I., Sommer, A. K., Peters, S., Oliveira, C., Pelaez, J. G., Matos, A. R., Jose, C. S., Ferreira, M., Gullo, I., Fernandes, S., Garrido, L., Ferreira, P., Carneiro, F., Swertz, M. A., Johansson, L., van der Velde, J. K., van der Vries, G., Neerincx, P. B., Roelofs-Prins, D., Kohler, S., Metcalfe, A., Drunat, S., Rooryck, C., Trimouille, A., Castello, R., Morleo, M., Pinelli, M., Varavallo, A., De la Paz, M. P., Sanchez, E. B., Martin, E. L., Delgado, B. M., de la Rosa, F. J. A. G., Ciolfi, A., Dallapiccola, B., Pizzi, S., Radio, F. C., Tartaglia, M., Renieri, A., Benetti, E., Balicza, P., Molnar, M. J., Maver, A., Peterlin, B., Munchau, A., Lohmann, K., Herzog, R., Pauly, M., Macaya, A., Marce-Grau, A., Osorio, A. N., de Benito, D. N., Thompson, R., Polavarapu, K., Beeson, D., Cossins, J., Cruz, P. M. R., Hackman, P., Johari, M., Savarese, M., Udd, B., Horvath, R., Capella, G., Valle, L., Holinski-Feder, E., Laner, A., Steinke-Lange, V., Schrock, E., Rump, A., Gestionnaire, HAL Sorbonne Université 5, Centre de Recherche en Myologie, Medicum, University of Helsinki, and Department of Medical and Clinical Genetics

Subjects
Computer science, Consensus Development Conferences as Topic, genetics [Rare Diseases], lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Diseases, Pan european, Tumours of the digestive tract Radboud Institute for Molecular Life Sciences [Radboudumc 14], Exome, Intersectoral Collaboration, Genetics (clinical), Exome sequencing, 0303 health sciences, 030305 genetics & heredity, Medical genetics, 1184 Genetics, developmental biology, physiology, Metabolic Disorders Radboud Institute for Molecular Life Sciences [Radboudumc 6], Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3], 3. Good health, diagnosis [Rare Diseases], Europe, GENOME, Chemistry, New disease, Patient representatives, [SDV.MHEP.AHA] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], methods [Genetic Testing], MEDLINE, Socio-culturale, 03 medical and health sciences, Viewpoint, Rare Diseases, Exome Sequencing, Genetics, [SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Humans, ddc:610, Genetic Testing, Biology, 030304 developmental biology, genetics [Genetic Diseases, Inborn], Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Information Dissemination, Genetic Diseases, Inborn, Correction, Data science, diagnosis [Genetic Diseases, Inborn], Data sharing, methods [Exome Sequencing], 3111 Biomedicine, Human medicine, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19], Rare disease
Abstract

For the first time in Europe hundreds of rare disease (RD) experts team up to actively share and jointly analyse existing patient's data. Solve-RD is a Horizon 2020-supported EU flagship project bringing together >300 clinicians, scientists, and patient representatives of 51 sites from 15 countries. Solve-RD is built upon a core group of four European Reference Networks (ERNs; ERN-ITHACA, ERN-RND, ERN-Euro NMD, ERN-GENTURIS) which annually see more than 270,000 RD patients with respective pathologies. The main ambition is to solve unsolved rare diseases for which a molecular cause is not yet known. This is achieved through an innovative clinical research environment that introduces novel ways to organise expertise and data. Two major approaches are being pursued (i) massive data re-analysis of >19,000 unsolved rare disease patients and (ii) novel combined -omics approaches. The minimum requirement to be eligible for the analysis activities is an inconclusive exome that can be shared with controlled access. The first preliminary data re-analysis has already diagnosed 255 cases form 8393 exomes/genome datasets. This unprecedented degree of collaboration focused on sharing of data and expertise shall identify many new disease genes and enable diagnosis of many so far undiagnosed patients from all over Europe. The Solve-RD project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779257. This research is supported (not financially) by four ERNs: (1) The ERN for Intellectual Disability, Telehealth and Congenital Anomalies (ERN-ITHACA)-Project ID No 869189; (2) The ERN on Rare Neurological Diseases (ERN-RND)-Project ID No 739510; (3) The ERN for Neuromuscular Diseases (ERN Euro-NMD)-Project ID No 870177; (4) The ERN on Genetic Tumour Risk Syndromes (ERN GENTURIS)-Project ID No 739547. The ERNs are co-funded by the European Union within the framework of the Third Health Programme. Open Access funding enabled and organized by Projekt DEAL. Sí

Published
2021

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