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562 results on '"’t Hoen, Peter A. C."'

2. Rare disease research workflow using multilayer networks elucidates the molecular determinants of severity in Congenital Myasthenic Syndromes

Author

Núñez-Carpintero, Iker, Rigau, Maria, Bosio, Mattia, O’Connor, Emily, Spendiff, Sally, Azuma, Yoshiteru, Topf, Ana, Thompson, Rachel, ’t Hoen, Peter A. C., Chamova, Teodora, Tournev, Ivailo, Guergueltcheva, Velina, Laurie, Steven, Beltran, Sergi, Capella-Gutiérrez, Salvador, Cirillo, Davide, Lochmüller, Hanns, and Valencia, Alfonso

Published
2024
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3. EURO-NMD registry: federated FAIR infrastructure, innovative technologies and concepts of a patient-centred registry for rare neuromuscular disorders

Author

Atalaia, Antonio, Wandrei, Dagmar, Lalout, Nawel, Thompson, Rachel, Tassoni, Adrian, ’t Hoen, Peter A. C., Athanasiou, Dimitrios, Baker, Suzie-Ann, Sakellariou, Paraskevi, Paliouras, Georgios, D’Angelo, Carla, Horvath, Rita, Mancuso, Michelangelo, van der Beek, Nadine, Kornblum, Cornelia, Kirschner, Janbernd, Pareyson, Davide, Bassez, Guillaume, Blacas, Laura, Jacoupy, Maxime, Eng, Catherine, Lamy, François, Plançon, Jean-Philippe, Haberlova, Jana, Brusse, Esther, Hoeijmakers, Janneke G. J., de Visser, Marianne, Claeys, Kristl G., Paradas, Carmen, Toscano, Antonio, Silani, Vincenzo, Gyenge, Melinda, Reviers, Evy, Hamroun, Dalil, Vroom, Elisabeth, Wilkinson, Mark D., Lochmuller, Hanns, and Evangelista, Teresinha

Published
2024
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4. Expanding the repertoire reveals recurrent, cryptic, and hematopoietic HLA class I minor histocompatibility antigens

Author

Fuchs, Kyra J., van de Meent, Marian, Honders, M. Willy, Khatri, Indu, Kester, Michel G. D., Koster, Eva A. S., Koutsoumpli, Georgia, de Ru, Arnoud H., van Bergen, Cornelis A. M., van Veelen, Peter A., ’t Hoen, Peter A. C., van Balen, Peter, van den Akker, Erik B., Veelken, J. Hendrik, Halkes, Constantijn J. M., Falkenburg, J. H. Frederik, and Griffioen, Marieke

Published
2024
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6. FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research

Author

van der Velde, K. Joeri, Singh, Gurnoor, Kaliyaperumal, Rajaram, Liao, XiaoFeng, de Ridder, Sander, Rebers, Susanne, Kerstens, Hindrik H. D., de Andrade, Fernanda, van Reeuwijk, Jeroen, De Gruyter, Fini E., Hiltemann, Saskia, Ligtvoet, Maarten, Weiss, Marjan M., van Deutekom, Hanneke W. M., Jansen, Anne M. L., Stubbs, Andrew P., Vissers, Lisenka E. L. M., Laros, Jeroen F. J., van Enckevort, Esther, Stemkens, Daphne, ‘t Hoen, Peter A. C., Beliën, Jeroen A. M., van Gijn, Mariëlle E., and Swertz, Morris A.

Published
2022
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9. Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data.

Author

van Hilten, Arno, van Rooij, Jeroen, Heijmans, Bastiaan T., 't Hoen, Peter A. C., Meurs, Joyce van, Jansen, Rick, Franke, Lude, Boomsma, Dorret I., Pool, René, van Dongen, Jenny, Hottenga, Jouke J., van Greevenbroek, Marleen M. J., Stehouwer, Coen D. A., van der Kallen, Carla J. H., Schalkwijk, Casper G., Wijmenga, Cisca, Zhernakova, Sasha, Tigchelaar, Ettje F., Slagboom, P. Eline, and Beekman, Marian

Subjects
GENE expression, MULTIOMICS, PREDICTION models, NETWORK performance, INDIVIDUALIZED medicine
Abstract

Integrating multi-omics data into predictive models has the potential to enhance accuracy, which is essential for precision medicine. In this study, we developed interpretable predictive models for multi-omics data by employing neural networks informed by prior biological knowledge, referred to as visible networks. These neural networks offer insights into the decision-making process and can unveil novel perspectives on the underlying biological mechanisms associated with traits and complex diseases. We tested the performance, interpretability and generalizability for inferring smoking status, subject age and LDL levels using genome-wide RNA expression and CpG methylation data from the blood of the BIOS consortium (four population cohorts, Ntotal = 2940). In a cohort-wise cross-validation setting, the consistency of the diagnostic performance and interpretation was assessed. Performance was consistently high for predicting smoking status with an overall mean AUC of 0.95 (95% CI: 0.90–1.00) and interpretation revealed the involvement of well-replicated genes such as AHRR, GPR15 and LRRN3. LDL-level predictions were only generalized in a single cohort with an R2 of 0.07 (95% CI: 0.05–0.08). Age was inferred with a mean error of 5.16 (95% CI: 3.97–6.35) years with the genes COL11A2, AFAP1, OTUD7A, PTPRN2, ADARB2 and CD34 consistently predictive. For both regression tasks, we found that using multi-omics networks improved performance, stability and generalizability compared to interpretable single omic networks. We believe that visible neural networks have great potential for multi-omics analysis; they combine multi-omic data elegantly, are interpretable, and generalize well to data from different cohorts. [ABSTRACT FROM AUTHOR]

Published
2024
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11. A multi-omics data analysis workflow packaged as a FAIR Digital Object

Author

Niehues, Anna, primary, de Visser, Casper, additional, Hagenbeek, Fiona A, additional, Kulkarni, Purva, additional, Pool, René, additional, Karu, Naama, additional, Kindt, Alida S D, additional, Singh, Gurnoor, additional, Vermeiren, Robert R J M, additional, Boomsma, Dorret I, additional, van Dongen, Jenny, additional, ’t Hoen, Peter A C, additional, and van Gool, Alain J, additional

Published
2024
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14. OTTERS:a powerful TWAS framework leveraging summary-level reference data

Author

Dai, Qile, Zhou, Geyu, Zhao, Hongyu, Võsa, Urmo, Franke, Lude, Battle, Alexis, Teumer, Alexander, Lehtimäki, Terho, Raitakari, Olli T., Esko, Tõnu, Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand Kumar, Arindrarto, Wibowo, Awadalla, Philip, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark W., Claringbould, Annique, Deelen, Patrick, Favé, Marie-Julie, Frayling, Timothy, Gharib, Sina A., Gibson, Greg, Heijmans, Bastiaan T., Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johannes, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Loeffler, Markus, Marigorta, Urko M., Mei, Hailang, Milani, Lili, Montgomery, Grant W., Müller-Nurasyid, Martina, Nauck, Matthias, Nivard, Michel G., Penninx, Brenda, Perola, Markus, Pervjakova, Natalia, Pierce, Brandon L., Powell, Joseph, Prokisch, Holger, Psaty, Bruce M., Ripatti, Samuli, Rotzschke, Olaf, Rüeger, Sina, Saha, Ashis, Scholz, Markus, Schramm, Katharina, Seppälä, Ilkka, Slagboom, Eline P., Stehouwer, Coen D. A., Stumvoll, Michael, Sullivan, Patrick, ‘t Hoen, Peter A. C., Thiery, Joachim, Tong, Lin, Tönjes, Anke, van Dongen, Jenny, van Iterson, Maarten, van Meurs, Joyce, Veldink, Jan H., Verlouw, Joost, Visscher, Peter M., Völker, Uwe, Westra, Harm-Jan, Wijmenga, Cisca, Yaghootkar, Hanieh, Yang, Jian, Zeng, Biao, Zhang, Futao, Epstein, Michael P., Yang, Jingjing, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, Biological Psychology, Amsterdam Reproduction & Development, APH - Methodology, APH - Personalized Medicine, Internal Medicine, Tampere University, Department of Clinical Chemistry, and Clinical Medicine

Subjects
Multidisciplinary, 1182 Biochemistry, cell and molecular biology, General Physics and Astronomy, 3111 Biomedicine, General Chemistry, Medical Genetics, General Biochemistry, Genetics and Molecular Biology, Medicinsk genetik
Abstract

Most existing TWAS tools require individual-level eQTL reference data and thus are not applicable to summary-level reference eQTL datasets. The development of TWAS methods that can harness summary-level reference data is valuable to enable TWAS in broader settings and enhance power due to increased reference sample size. Thus, we develop a TWAS framework called OTTERS (Omnibus Transcriptome Test using Expression Reference Summary data) that adapts multiple polygenic risk score (PRS) methods to estimate eQTL weights from summary-level eQTL reference data and conducts an omnibus TWAS. We show that OTTERS is a practical and powerful TWAS tool by both simulations and application studies. Godkänd;2023;Nivå 0;2023-04-06 (hanlid);Funder: for more funders see the article https://doi.org/10.1038/s41467-023-36862-w

Published
2023

15. Skewed X-inactivation is common in the general female population

Author

Shvetsova, Ekaterina, Sofronova, Alina, Monajemi, Ramin, Gagalova, Kristina, Draisma, Harmen H. M., White, Stefan J., Santen, Gijs W. E., Chuva de Sousa Lopes, Susana M., Heijmans, Bastiaan T., van Meurs, Joyce, Jansen, Rick, Franke, Lude, Kiełbasa, Szymon M., den Dunnen, Johan T., ‘t Hoen, Peter A. C., BIOS consortium, and GoNL consortium

Published
2019
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17. A Multi-omics Data Analysis Workflow Packaged as a FAIR Digital Object

Author

Niehues, Anna, primary, de Visser, Casper, additional, Hagenbeek, Fiona A., additional, Kulkarni, Purva, additional, Pool, Rene, additional, Karu, Naama, additional, Kindt, Alida S. D., additional, Singh, Gurnoor, additional, Vermeiren, Robert R. J. M., additional, Boomsma, Dorret I., additional, van Dongen, Jenny, additional, 't Hoen, Peter A. C., additional, and van Gool, Alain J., additional

Published
2023
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19. A powerful global test for spliceQTL effects

Author

de Menezes, Renee X., Rauschenberger, Armin, ’t Hoen, Peter A. C., Jonker, Marianne, BIOS Consortium, de Menezes, Renee X., Rauschenberger, Armin, ’t Hoen, Peter A. C., Jonker, Marianne, and BIOS Consortium

Abstract

Statistical methods to test for effects of SNPs on exon inclusion exist, but often rely on testing of associations between multiple exon-SNP pairs, with sometimes subsequent summarization of results at the gene level. Such approaches require heavy multiple testing correction, and detect mostly events with large effect sizes. We propose here a test to find spliceQTL effects which takes all exons and all SNPs into account simultaneously. For any chosen gene, this score-based test looks for association between the set of exon expressions and the set of SNPs, via a random-effects model framework. It is efficient to compute, and can be used if the number of SNPs is larger than the number of samples. In addition, the test is powerful to detect effects that are relatively small for individual exon-SNP pairs, but are observed for many pairs. Furthermore, test results are more often replicated across datasets than pairwise testing results. This partly our test is more robust to exon-SNP pair-specific effects, but do not extend to multiple pairs within the same gene. We conclude that the test we propose here offers more power and better replicability in the search for spliceQTL effects.

Published
2023

20. A Solve-RD ClinVar-based reanalysis of 1522 index cases from ERN-ITHACA reveals common pitfalls and misinterpretations in exome sequencing

Author

Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center], Denommé-Pichon, Anne-Sophie, Matalonga, Leslie, de Boer, Elke, Jackson, Adam, Benetti, Elisa, Banka, Siddharth, Bruel, Ange-Line, Ciolfi, Andrea, Clayton-Smith, Jill, Dallapiccola, Bruno, Duffourd, Yannis, Ellwanger, Kornelia, Fallerini, Chiara, Gilissen, Christian, Graessner, Holm, Haack, Tobias B., Havlovicova, Marketa, Hoischen, Alexander, Jean-Marçais, Nolwenn, Kleefstra, Tjitske, López-Martín, Estrella, Macek, Milan, Mencarelli, Maria Antonietta, Moutton, Sébastien, Pfundt, Rolph, Pizzi, Simone, Posada, Manuel, Radio, Francesca Clementina, Renieri, Alessandra, Rooryck, Caroline, Ryba, Lukas, Safraou, Hana, Schwarz, Martin, Tartaglia, Marco, Thauvin-Robinet, Christel, Thevenon, Julien, Tran Mau-Them, Frédéric, Trimouille, Aurélien, Votypka, Pavel, de Vries, Bert B. A., Willemsen, Marjolein H., Zurek, Birte, Verloes, Alain, Philippe, Christophe, Abbott, Kristin M., Faivre, Laurence, Kerstjens, Mieke, Martín, Estrella López, Macek Jr., Milan, Maystadt, Isabelle, Morleo, Manuela, Nigro, Vicenzo, Pinelli, Michele, Radio, Francesca C., Riess, Olaf, Agathe, Jean-Madeleine De Sainte, Santen, Gijs W. E., Thauvin, Christel, Torella, Annalaura, Vissers, Lisenka, Vitobello, Antonio, Zguro, Kristina, Boer, Elke De, Cohen, Enzo, Danis, Daniel, Gao, Fei, Horvath, Rita, Johari, Mridul, Johanson, Lennart, Li, Shuang, Morsy, Heba, Nelson, Isabelle, Paramonov, Ida, te Paske, Iris B. A. W., Robinson, Peter, Savarese, Marco, Steyaert, Wouter, Töpf, Ana, van der Velde, Joeri K., Vandrovcova, Jana, Ossowski, Stephan, Demidov, German, Sturm, Marc, Schulze-Hentrich, Julia M., Schüle, Rebecca, Xu, Jishu, Kessler, Christoph, Wayand, Melanie, Synofzik, Matthis, Wilke, Carlo, Traschütz, Andreas, Schöls, Ludger, Hengel, Holger, Lerche, Holger, Kegele, Josua, Heutink, Peter, Brunner, Han, Scheffer, Hans, Hoogerbrugge, Nicoline, `t Hoen, Peter A. C., Vissers, Lisenka E. L. M., Sablauskas, Karolis, de Voer, Richarda M., Kamsteeg, Erik-Jan, van de Warrenburg, Bart, van Os, Nienke, Paske, Iris Te, Janssen, Erik, Steehouwer, Marloes, Yaldiz, Burcu, Brookes, Anthony J., Veal, Colin, Gibson, Spencer, Maddi, Vatsalya, Mehtarizadeh, Mehdi, Riaz, Umar, Warren, Greg, Dizjikan, Farid Yavari, Shorter, Thomas, Straub, Volker, Bettolo, Chiara Marini, Manera, Jordi Diaz, Hambleton, Sophie, Engelhardt, Karin, Alexander, Elizabeth, Peyron, Christine, Pélissier, Aurore, Beltran, Sergi, Gut, Ivo Glynne, Laurie, Steven, Piscia, Davide, Papakonstantinou, Anastasios, Bullich, Gemma, Corvo, Alberto, Fernandez-Callejo, Marcos, Hernández, Carles, Picó, Daniel, Lochmüller, Hanns, Gumus, Gulcin, Bros-Facer, Virginie, Rath, Ana, Hanauer, Marc, Lagorce, David, Hongnat, Oscar, Chahdil, Maroua, Lebreton, Emeline, Stevanin, Giovanni, Durr, Alexandra, Davoine, Claire-Sophie, Guillot-Noel, Léna, Heinzmann, Anna, Coarelli, Giulia, Bonne, Gisèle, Evangelista, Teresinha, Allamand, Valérie, Ben Yaou, Rabah, Metay, Corinne, Eymard, Bruno, Atalaia, Antonio, Stojkovic, Tanya, Turnovec, Marek, Thomasová, Dana, Kremliková, Radka Pourová, Franková, Vera, Havlovicová, Markéta, Li\vsková, Petra, Dole\vzalová, Pavla, Parkinson, Helen, Keane, Thomas, Freeberg, Mallory, Thomas, Coline, Spalding, Dylan, Robert, Glenn, Costa, Alessia, Patch, Christine, Hanna, Mike, Houlden, Henry, Reilly, Mary, Efthymiou, Stephanie, Cali, Elisa, Magrinelli, Francesca, Sisodiya, Sanjay M., Rohrer, Jonathan, Muntoni, Francesco, Zaharieva, Irina, Sarkozy, Anna, Timmerman, Vincent, Baets, Jonathan, de Vries, Geert, De Winter, Jonathan, Beijer, Danique, de Jonghe, Peter, Van de Vondel, Liedewei, De Ridder, Willem, Weckhuysen, Sarah, Nigro, Vincenzo, Mutarelli, Margherita, Varavallo, Alessandra, Banfi, Sandro, Musacchia, Francesco, Piluso, Giulio, Ferlini, Alessandra, Selvatici, Rita, Gualandi, Francesca, Bigoni, Stefania, 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 Vries, Gerben, Neerincx, Pieter B., Ruvolo, David, Kerstjens Frederikse, Wilhemina S., Zonneveld-Huijssoon, Eveline, Roelofs-Prins, Dieuwke, van Gijn, Marielle, Köhler, Sebastian, Metcalfe, Alison, Drunat, Séverine, Heron, Delphine, Mignot, Cyril, Keren, Boris, Lacombe, Didier, Trimouille, Aurelien, Capella, Gabriel, Valle, Laura, Holinski-Feder, Elke, Laner, Andreas, Steinke-Lange, Verena, Cilio, Maria-Roberta, Carpancea, Evelina, Depondt, Chantal, Lederer, Damien, Sznajer, Yves, Duerinckx, Sarah, Mary, Sandrine, Macaya, Alfons, Cazurro-Gutiérrez, Ana, Pérez-Dueñas, Belén, Munell, Francina, Jarava, Clara Franco, Masó, Laura Batlle, Marcé-Grau, Anna, Colobran, Roger, Hackman, Peter, Udd, Bjarne, Hemelsoet, Dimitri, Dermaut, Bart, Schuermans, Nika, Poppe, Bruce, Verdin, Hannah, Osorio, Andrés Nascimento, Depienne, Christel, Roos, Andreas, Cordts, Isabell, Deschauer, Marcus, Striano, Pasquale, Zara, Federico, Riva, Antonella, Iacomino, Michele, Uva, Paolo, Scala, Marcello, Scudieri, Paolo, Claeys, Kristl, Boztug, Kaan, Haimel, Matthias, W.E, Gijs, Ruivenkamp, Claudia A. L., Natera de Benito, Daniel, Thompson, Rachel, Polavarapu, Kiran, Grimbacher, Bodo, Zaganas, Ioannis, Kokosali, Evgenia, Lambros, Mathioudakis, Evangeliou, Athanasios, Spilioti, Martha, Kapaki, Elisabeth, Bourbouli, Mara, Balicza, Peter, Molnar, Maria Judit, De la Paz, Manuel Posada, Sánchez, Eva Bermejo, Delgado, Beatriz Martínez, Alonso García de la Rosa, F. Javier, Schröck, Evelin, Rump, Andreas, Mei, Davide, Vetro, Annalisa, Balestrini, Simona, Guerrini, Renzo, Chinnery, Patrick F., Ratnaike, Thiloka, Schon, Katherine, Maver, Ales, Peterlin, Borut, Münchau, Alexander, Lohmann, Katja, Herzog, Rebecca, Pauly, Martje, May, Patrick, Beeson, David, Cossins, Judith, Furini, Simone, Afenjar, Alexandra, Goldenberg, Alice, Masurel, Alice, Phan, Alice, Dieux-Coeslier, Anne, Fargeot, Anne, Guerrot, Anne-Marie, Toutain, Annick, Molin, Arnaud, Sorlin, Arthur, Putoux, Audrey, Jouret, Béatrice, Laudier, Béatrice, Demeer, Bénédicte, Doray, Bérénice, Bonniaud, Bertille, Isidor, Bertrand, Gilbert-Dussardier, Brigitte, Leheup, Bruno, Reversade, Bruno, Paul, Carle, Vincent-Delorme, Catherine, Neiva, Cecilia, Poirsier, Céline, Quélin, Chloé, Chiaverini, Christine, Coubes, Christine, Francannet, Christine, Colson, Cindy, Desplantes, Claire, Wells, Constance, Goizet, Cyril, Sanlaville, Damien, Amram, Daniel, Lehalle, Daphné, Geneviève, David, Gaillard, Dominique, Zivi, Einat, Sarrazin, Elisabeth, Steichen, Elisabeth, Schaefer, Élise, Lacaze, Elodie, Jacquemin, Emmanuel, Bongers, Ernie, Kilic, Esra, Colin, Estelle, Giuliano, Fabienne, Prieur, Fabienne, Laffargue, Fanny, Morice-Picard, Fanny, Petit, Florence, Cartault, François, Feillet, François, Baujat, Geneviève, Morin, Gilles, Diene, Gwenaëlle, Journel, Hubert, Perthus, Isabelle, Lespinasse, James, Alessandri, Jean-Luc, Amiel, Jeanne, Martinovic, Jelena, Delanne, Julian, Albuisson, Juliette, Lambert, Laëtitia, Perrin, Laurence, Ousager, Lilian Bomme, Van Maldergem, Lionel, Pinson, Lucile, Ruaud, Lyse, Samimi, Mahtab, Bournez, Marie, Bonnet-Dupeyron, Marie Noëlle, Vincent, Marie, Jacquemont, Marie-Line, Cordier-Alex, Marie-Pierre, Gérard-Blanluet, Marion, Willems, Marjolaine, Spodenkiewicz, Marta, Doco-Fenzy, Martine, Rossi, Massimiliano, Renaud, Mathilde, Fradin, Mélanie, Mathieu, Michèle, Holder-Espinasse, Muriel H., Houcinat, Nada, Hanna, Nadine, Leperrier, Nathalie, Chassaing, Nicolas, Philip, Nicole, Boute, Odile, Van Kien, Philippe Khau, Parent, Philippe, Bitoun, Pierre, Sarda, Pierre, Vabres, Pierre, Jouk, Pierre-Simon, Touraine, Renaud, El Chehadeh, Salima, Whalen, Sandra, Marlin, Sandrine, Passemard, Sandrine, Grotto, Sarah, Bellanger, Séverine Audebert, Blesson, Sophie, Nambot, Sophie, Naudion, Sophie, Lyonnet, Stanislas, Odent, Sylvie, Attie-Bitach, Tania, Busa, Tiffany, Drouin-Garraud, Valérie, Layet, Valérie, Bizaoui, Varoona, Cusin, Véronica, Capri, Yline, Alembik, Yves, Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center], Denommé-Pichon, Anne-Sophie, Matalonga, Leslie, de Boer, Elke, Jackson, Adam, Benetti, Elisa, Banka, Siddharth, Bruel, Ange-Line, Ciolfi, Andrea, Clayton-Smith, Jill, Dallapiccola, Bruno, Duffourd, Yannis, Ellwanger, Kornelia, Fallerini, Chiara, Gilissen, Christian, Graessner, Holm, Haack, Tobias B., Havlovicova, Marketa, Hoischen, Alexander, Jean-Marçais, Nolwenn, Kleefstra, Tjitske, López-Martín, Estrella, Macek, Milan, Mencarelli, Maria Antonietta, Moutton, Sébastien, Pfundt, Rolph, Pizzi, Simone, Posada, Manuel, Radio, Francesca Clementina, Renieri, Alessandra, Rooryck, Caroline, Ryba, Lukas, Safraou, Hana, Schwarz, Martin, Tartaglia, Marco, Thauvin-Robinet, Christel, Thevenon, Julien, Tran Mau-Them, Frédéric, Trimouille, Aurélien, Votypka, Pavel, de Vries, Bert B. A., Willemsen, Marjolein H., Zurek, Birte, Verloes, Alain, Philippe, Christophe, Abbott, Kristin M., Faivre, Laurence, Kerstjens, Mieke, Martín, Estrella López, Macek Jr., Milan, Maystadt, Isabelle, Morleo, Manuela, Nigro, Vicenzo, Pinelli, Michele, Radio, Francesca C., Riess, Olaf, Agathe, Jean-Madeleine De Sainte, Santen, Gijs W. E., Thauvin, Christel, Torella, Annalaura, Vissers, Lisenka, Vitobello, Antonio, Zguro, Kristina, Boer, Elke De, Cohen, Enzo, Danis, Daniel, Gao, Fei, Horvath, Rita, Johari, Mridul, Johanson, Lennart, Li, Shuang, Morsy, Heba, Nelson, Isabelle, Paramonov, Ida, te Paske, Iris B. A. W., Robinson, Peter, Savarese, Marco, Steyaert, Wouter, Töpf, Ana, van der Velde, Joeri K., Vandrovcova, Jana, Ossowski, Stephan, Demidov, German, Sturm, Marc, Schulze-Hentrich, Julia M., Schüle, Rebecca, Xu, Jishu, Kessler, Christoph, Wayand, Melanie, Synofzik, Matthis, Wilke, Carlo, Traschütz, Andreas, Schöls, Ludger, Hengel, Holger, Lerche, Holger, Kegele, Josua, Heutink, Peter, Brunner, Han, Scheffer, Hans, Hoogerbrugge, Nicoline, `t Hoen, Peter A. C., Vissers, Lisenka E. L. M., Sablauskas, Karolis, de Voer, Richarda M., Kamsteeg, Erik-Jan, van de Warrenburg, Bart, van Os, Nienke, Paske, Iris Te, Janssen, Erik, Steehouwer, Marloes, Yaldiz, Burcu, Brookes, Anthony J., Veal, Colin, Gibson, Spencer, Maddi, Vatsalya, Mehtarizadeh, Mehdi, Riaz, Umar, Warren, Greg, Dizjikan, Farid Yavari, Shorter, Thomas, Straub, Volker, Bettolo, Chiara Marini, Manera, Jordi Diaz, Hambleton, Sophie, Engelhardt, Karin, Alexander, Elizabeth, Peyron, Christine, Pélissier, Aurore, Beltran, Sergi, Gut, Ivo Glynne, Laurie, Steven, Piscia, Davide, Papakonstantinou, Anastasios, Bullich, Gemma, Corvo, Alberto, Fernandez-Callejo, Marcos, Hernández, Carles, Picó, Daniel, Lochmüller, Hanns, Gumus, Gulcin, Bros-Facer, Virginie, Rath, Ana, Hanauer, Marc, Lagorce, David, Hongnat, Oscar, Chahdil, Maroua, Lebreton, Emeline, Stevanin, Giovanni, Durr, Alexandra, Davoine, Claire-Sophie, Guillot-Noel, Léna, Heinzmann, Anna, Coarelli, Giulia, Bonne, Gisèle, Evangelista, Teresinha, Allamand, Valérie, Ben Yaou, Rabah, Metay, Corinne, Eymard, Bruno, Atalaia, Antonio, Stojkovic, Tanya, Turnovec, Marek, Thomasová, Dana, Kremliková, Radka Pourová, Franková, Vera, Havlovicová, Markéta, Li\vsková, Petra, Dole\vzalová, Pavla, Parkinson, Helen, Keane, Thomas, Freeberg, Mallory, Thomas, Coline, Spalding, Dylan, Robert, Glenn, Costa, Alessia, Patch, Christine, Hanna, Mike, Houlden, Henry, Reilly, Mary, Efthymiou, Stephanie, Cali, Elisa, Magrinelli, Francesca, Sisodiya, Sanjay M., Rohrer, Jonathan, Muntoni, Francesco, Zaharieva, Irina, Sarkozy, Anna, Timmerman, Vincent, Baets, Jonathan, de Vries, Geert, De Winter, Jonathan, Beijer, Danique, de Jonghe, Peter, Van de Vondel, Liedewei, De Ridder, Willem, Weckhuysen, Sarah, Nigro, Vincenzo, Mutarelli, Margherita, Varavallo, Alessandra, Banfi, Sandro, Musacchia, Francesco, Piluso, Giulio, Ferlini, Alessandra, Selvatici, Rita, Gualandi, Francesca, Bigoni, Stefania, 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 Vries, Gerben, Neerincx, Pieter B., Ruvolo, David, Kerstjens Frederikse, Wilhemina S., Zonneveld-Huijssoon, Eveline, Roelofs-Prins, Dieuwke, van Gijn, Marielle, Köhler, Sebastian, Metcalfe, Alison, Drunat, Séverine, Heron, Delphine, Mignot, Cyril, Keren, Boris, Lacombe, Didier, Trimouille, Aurelien, Capella, Gabriel, Valle, Laura, Holinski-Feder, Elke, Laner, Andreas, Steinke-Lange, Verena, Cilio, Maria-Roberta, Carpancea, Evelina, Depondt, Chantal, Lederer, Damien, Sznajer, Yves, Duerinckx, Sarah, Mary, Sandrine, Macaya, Alfons, Cazurro-Gutiérrez, Ana, Pérez-Dueñas, Belén, Munell, Francina, Jarava, Clara Franco, Masó, Laura Batlle, Marcé-Grau, Anna, Colobran, Roger, Hackman, Peter, Udd, Bjarne, Hemelsoet, Dimitri, Dermaut, Bart, Schuermans, Nika, Poppe, Bruce, Verdin, Hannah, Osorio, Andrés Nascimento, Depienne, Christel, Roos, Andreas, Cordts, Isabell, Deschauer, Marcus, Striano, Pasquale, Zara, Federico, Riva, Antonella, Iacomino, Michele, Uva, Paolo, Scala, Marcello, Scudieri, Paolo, Claeys, Kristl, Boztug, Kaan, Haimel, Matthias, W.E, Gijs, Ruivenkamp, Claudia A. L., Natera de Benito, Daniel, Thompson, Rachel, Polavarapu, Kiran, Grimbacher, Bodo, Zaganas, Ioannis, Kokosali, Evgenia, Lambros, Mathioudakis, Evangeliou, Athanasios, Spilioti, Martha, Kapaki, Elisabeth, Bourbouli, Mara, Balicza, Peter, Molnar, Maria Judit, De la Paz, Manuel Posada, Sánchez, Eva Bermejo, Delgado, Beatriz Martínez, Alonso García de la Rosa, F. Javier, Schröck, Evelin, Rump, Andreas, Mei, Davide, Vetro, Annalisa, Balestrini, Simona, Guerrini, Renzo, Chinnery, Patrick F., Ratnaike, Thiloka, Schon, Katherine, Maver, Ales, Peterlin, Borut, Münchau, Alexander, Lohmann, Katja, Herzog, Rebecca, Pauly, Martje, May, Patrick, Beeson, David, Cossins, Judith, Furini, Simone, Afenjar, Alexandra, Goldenberg, Alice, Masurel, Alice, Phan, Alice, Dieux-Coeslier, Anne, Fargeot, Anne, Guerrot, Anne-Marie, Toutain, Annick, Molin, Arnaud, Sorlin, Arthur, Putoux, Audrey, Jouret, Béatrice, Laudier, Béatrice, Demeer, Bénédicte, Doray, Bérénice, Bonniaud, Bertille, Isidor, Bertrand, Gilbert-Dussardier, Brigitte, Leheup, Bruno, Reversade, Bruno, Paul, Carle, Vincent-Delorme, Catherine, Neiva, Cecilia, Poirsier, Céline, Quélin, Chloé, Chiaverini, Christine, Coubes, Christine, Francannet, Christine, Colson, Cindy, Desplantes, Claire, Wells, Constance, Goizet, Cyril, Sanlaville, Damien, Amram, Daniel, Lehalle, Daphné, Geneviève, David, Gaillard, Dominique, Zivi, Einat, Sarrazin, Elisabeth, Steichen, Elisabeth, Schaefer, Élise, Lacaze, Elodie, Jacquemin, Emmanuel, Bongers, Ernie, Kilic, Esra, Colin, Estelle, Giuliano, Fabienne, Prieur, Fabienne, Laffargue, Fanny, Morice-Picard, Fanny, Petit, Florence, Cartault, François, Feillet, François, Baujat, Geneviève, Morin, Gilles, Diene, Gwenaëlle, Journel, Hubert, Perthus, Isabelle, Lespinasse, James, Alessandri, Jean-Luc, Amiel, Jeanne, Martinovic, Jelena, Delanne, Julian, Albuisson, Juliette, Lambert, Laëtitia, Perrin, Laurence, Ousager, Lilian Bomme, Van Maldergem, Lionel, Pinson, Lucile, Ruaud, Lyse, Samimi, Mahtab, Bournez, Marie, Bonnet-Dupeyron, Marie Noëlle, Vincent, Marie, Jacquemont, Marie-Line, Cordier-Alex, Marie-Pierre, Gérard-Blanluet, Marion, Willems, Marjolaine, Spodenkiewicz, Marta, Doco-Fenzy, Martine, Rossi, Massimiliano, Renaud, Mathilde, Fradin, Mélanie, Mathieu, Michèle, Holder-Espinasse, Muriel H., Houcinat, Nada, Hanna, Nadine, Leperrier, Nathalie, Chassaing, Nicolas, Philip, Nicole, Boute, Odile, Van Kien, Philippe Khau, Parent, Philippe, Bitoun, Pierre, Sarda, Pierre, Vabres, Pierre, Jouk, Pierre-Simon, Touraine, Renaud, El Chehadeh, Salima, Whalen, Sandra, Marlin, Sandrine, Passemard, Sandrine, Grotto, Sarah, Bellanger, Séverine Audebert, Blesson, Sophie, Nambot, Sophie, Naudion, Sophie, Lyonnet, Stanislas, Odent, Sylvie, Attie-Bitach, Tania, Busa, Tiffany, Drouin-Garraud, Valérie, Layet, Valérie, Bizaoui, Varoona, Cusin, Véronica, Capri, Yline, and Alembik, Yves

Abstract

Purpose Within the Solve-RD project (https://solve-rd.eu/), the European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies aimed to investigate whether a reanalysis of exomes from unsolved cases based on ClinVar annotations could establish additional diagnoses. We present the results of the “ClinVar low-hanging fruit” reanalysis, reasons for the failure of previous analyses, and lessons learned. Methods Data from the first 3576 exomes (1522 probands and 2054 relatives) collected from European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies was reanalyzed by the Solve-RD consortium by evaluating for the presence of single-nucleotide variant, and small insertions and deletions already reported as (likely) pathogenic in ClinVar. Variants were filtered according to frequency, genotype, and mode of inheritance and reinterpreted. Results We identified causal variants in 59 cases (3.9%), 50 of them also raised by other approaches and 9 leading to new diagnoses, highlighting interpretation challenges: variants in genes not known to be involved in human disease at the time of the first analysis, misleading genotypes, or variants undetected by local pipelines (variants in off-target regions, low quality filters, low allelic balance, or high frequency). Conclusion The “ClinVar low-hanging fruit” analysis represents an effective, fast, and easy approach to recover causal variants from exome sequencing data, herewith contributing to the reduction of the diagnostic deadlock.

Published
2023

21. OTTERS: a powerful TWAS framework leveraging summary-level reference data

Author

Dai, Qile, Zhou, Geyu, Zhao, Hongyu, Võsa, Urmo, Franke, Lude, Battle, Alexis, Teumer, Alexander, Lehtimäki, Terho, Raitakari, Olli T., Esko, Tõnu, Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand Kumar, Arindrarto, Wibowo, Awadalla, Philip, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark W., Claringbould, Annique, Deelen, Patrick, Favé, Marie-Julie, Frayling, Timothy, Gharib, Sina A., Gibson, Greg, Heijmans, Bastiaan T., Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johannes, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Loeffler, Markus, Marigorta, Urko M., Mei, Hailang, Milani, Lili, Montgomery, Grant W., Müller-Nurasyid, Martina, Nauck, Matthias, Nivard, Michel G., Penninx, Brenda, Perola, Markus, Pervjakova, Natalia, Pierce, Brandon L., Powell, Joseph, Prokisch, Holger, Psaty, Bruce M., Ripatti, Samuli, Rotzschke, Olaf, Rüeger, Sina, Saha, Ashis, Scholz, Markus, Schramm, Katharina, Seppälä, Ilkka, Slagboom, Eline P., Stehouwer, Coen D. A., Stumvoll, Michael, Sullivan, Patrick, ‘t Hoen, Peter A. C., Thiery, Joachim, Tong, Lin, Tönjes, Anke, van Dongen, Jenny, van Iterson, Maarten, van Meurs, Joyce, Veldink, Jan H., Verlouw, Joost, Visscher, Peter M., Völker, Uwe, Westra, Harm-Jan, Wijmenga, Cisca, Yaghootkar, Hanieh, Yang, Jian, Zeng, Biao, Zhang, Futao, Epstein, Michael P., Yang, Jingjing, Dai, Qile, Zhou, Geyu, Zhao, Hongyu, Võsa, Urmo, Franke, Lude, Battle, Alexis, Teumer, Alexander, Lehtimäki, Terho, Raitakari, Olli T., Esko, Tõnu, Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand Kumar, Arindrarto, Wibowo, Awadalla, Philip, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark W., Claringbould, Annique, Deelen, Patrick, Favé, Marie-Julie, Frayling, Timothy, Gharib, Sina A., Gibson, Greg, Heijmans, Bastiaan T., Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johannes, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Loeffler, Markus, Marigorta, Urko M., Mei, Hailang, Milani, Lili, Montgomery, Grant W., Müller-Nurasyid, Martina, Nauck, Matthias, Nivard, Michel G., Penninx, Brenda, Perola, Markus, Pervjakova, Natalia, Pierce, Brandon L., Powell, Joseph, Prokisch, Holger, Psaty, Bruce M., Ripatti, Samuli, Rotzschke, Olaf, Rüeger, Sina, Saha, Ashis, Scholz, Markus, Schramm, Katharina, Seppälä, Ilkka, Slagboom, Eline P., Stehouwer, Coen D. A., Stumvoll, Michael, Sullivan, Patrick, ‘t Hoen, Peter A. C., Thiery, Joachim, Tong, Lin, Tönjes, Anke, van Dongen, Jenny, van Iterson, Maarten, van Meurs, Joyce, Veldink, Jan H., Verlouw, Joost, Visscher, Peter M., Völker, Uwe, Westra, Harm-Jan, Wijmenga, Cisca, Yaghootkar, Hanieh, Yang, Jian, Zeng, Biao, Zhang, Futao, Epstein, Michael P., and Yang, Jingjing

Abstract

Most existing TWAS tools require individual-level eQTL reference data and thus are not applicable to summary-level reference eQTL datasets. The development of TWAS methods that can harness summary-level reference data is valuable to enable TWAS in broader settings and enhance power due to increased reference sample size. Thus, we develop a TWAS framework called OTTERS (Omnibus Transcriptome Test using Expression Reference Summary data) that adapts multiple polygenic risk score (PRS) methods to estimate eQTL weights from summary-level eQTL reference data and conducts an omnibus TWAS. We show that OTTERS is a practical and powerful TWAS tool by both simulations and application studies., Godkänd;2023;Nivå 0;2023-04-06 (hanlid);Funder: for more funders see the article https://doi.org/10.1038/s41467-023-36862-w

Published
2023
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24. 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

27. Tackling the translational challenges of multi-omics research in the realm of European personalised medicine: A workshop report

Author

Oldoni, Emanuela, primary, Saunders, Gary, additional, Bietrix, Florence, additional, Garcia Bermejo, Maria Laura, additional, Niehues, Anna, additional, ’t Hoen, Peter A. C., additional, Nordlund, Jessica, additional, Hajduch, Marian, additional, Scherer, Andreas, additional, Kivinen, Katja, additional, Pitkänen, Esa, additional, Mäkela, Tomi Pekka, additional, Gut, Ivo, additional, Scollen, Serena, additional, Kozera, Łukasz, additional, Esteller, Manel, additional, Shi, Leming, additional, Ussi, Anton, additional, Andreu, Antonio L., additional, and van Gool, Alain J., additional

Published
2022
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28. Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation

Author

Luijk, René, Wu, Haoyu, Ward-Caviness, Cavin K, Hannon, Eilis, Carnero-Montoro, Elena, Min, Josine L., Mandaviya, Pooja, Müller-Nurasyid, Martina, Mei, Hailiang, van der Maarel, Silvere M., BIOS Consortium, Relton, Caroline, Mill, Jonathan, Waldenberger, Melanie, Bell, Jordana T., Jansen, Rick, Zhernakova, Alexandra, Franke, Lude, ‘t Hoen, Peter A. C., Boomsma, Dorret I., van Duijn, Cornelia M., van Greevenbroek, Marleen M. J., Veldink, Jan H., Wijmenga, Cisca, van Meurs, Joyce, Daxinger, Lucia, Slagboom, P. Eline, van Zwet, Erik W., and Heijmans, Bastiaan T.

Published
2018
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29. Genome-wide identification of directed gene networks using large-scale population genomics data

Author

Luijk, René, Dekkers, Koen F., van Iterson, Maarten, Arindrarto, Wibowo, Claringbould, Annique, Hop, Paul, Boomsma, Dorret I., van Duijn, Cornelia M., van Greevenbroek, Marleen M. J., Veldink, Jan H., Wijmenga, Cisca, Franke, Lude, ’t Hoen, Peter A. C., Jansen, Rick, van Meurs, Joyce, Mei, Hailiang, Slagboom, P. Eline, Heijmans, Bastiaan T., van Zwet, Erik W., and BIOS (Biobank-based Integrative Omics Study) Consortium

Published
2018
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30. Transcriptional profiling and biomarker identification reveal tissue specific effects of expanded ataxin-3 in a spinocerebellar ataxia type 3 mouse model

Author

Toonen, Lodewijk J. A., Overzier, Maurice, Evers, Melvin M., Leon, Leticia G., van der Zeeuw, Sander A. J., Mei, Hailiang, Kielbasa, Szymon M., Goeman, Jelle J., Hettne, Kristina M., Magnusson, Olafur Th., Poirel, Marion, Seyer, Alexandre, ‘t Hoen, Peter A. C., and van Roon-Mom, Willeke M. C.

Published
2018
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32. FAIR data and metadata – The X-omics FAIR Data Cube and its added value for multi-omics researchers

Author

Niehues, Anna, Liao, XiaoFeng, Brandt, Martin, Doorbos, Cenna, Ederveen, Tom, Hagenbeek, Fiona, Huang, Junda, Kulkarni, Purva, van der Velde, K. Joeri, de Visser, Casper, van Vliet, Michael, and 't Hoen, Peter A. C.

Abstract

The FAIR (Findable, Accessible, Interoperable and Reusable) (FAIR) principles were proposed [1] to guide researchers to describe and share their data to increase data reuse and research reproducibility. Creating FAIR data can be challenging for multi-omics researchers due to a lack of tooling and a diverse landscape of (meta)data standards differing across -omics types. Linked data structures and graph representations allow semantic queries and open up new possibilities of data analysis. However, large multi-omics data sets cannot easily be converted to such structures. In the Netherlands X-omics Initiative, we develop a FAIR Data Cube (FDCube) [2] – a set of tools and services that help researchers in different stages of the Research Data Life Cycle including creating and describing new data, and finding, understanding and reusing existing FAIR multi-omics data. To facilitate creation of FAIR multi-omics data and metadata, we collaborate with different initiatives such as the FAIR Genomes project [3]. We adopt and develop metadata schemas for different omics data types, and make use of the Investigation-Study-Assay (ISA) metadata framework [4] to capture experimental metadata. Example workflows to create such metadata are publicly shared [5]. Researchers can find and query multi-omics studies via a FAIR Data Point (FDP) instance [6], which links to public or access-protected data repositories. A set of accompanying tools allows the import of general study metadata to the FDP as well as performing semantic queries on additional metadata on samples, phenotypes, or molecular features represented in an RDF-based knowledge graph. In order to allow analysis of access-protected data, we further implement a vantage6-based architecture that allows bioinformaticians to send containerised computing requests to access-controlled omics data storage and receive aggregated results. A prototype FDCube implementation is being developed in collaboration with the Trusted World of Corona (TWOC) [7], in which we use public COVID-19 multi-omics data sources to demonstrate the strength and added value of the FDCube and its FAIR-based methodologies. We invite researchers to discuss with us about their own experiences, how the FDcube can facilitate their research, and how X-omics tools can further support them., {"references":["M. Wilkinson, M. Dumontier, I. Aalbersberg et al. \"The FAIR Guiding Principles for scientific data management and stewardship\". Sci Data 3:160018, 2016. https://doi.org/10.1038/sdata.2016.18","https://github.com/Xomics/FAIRDataCube","K.J. van der Velde, G. Singh, R. Kaliyaperumal. et al. \"FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research\". Sci Data 9:169, 2022. https://doi.org/10.1038/s41597-022-01265-x","S.A., Sansone, P. Rocca-Serra, D. Field et al. \"Toward interoperable bioscience data\". Nat Genet 44:121–126, 2012. https://doi.org/10.1038/ng.1054","https://github.com/Xomics/ISA-ACTION-Template","https://fdp.x-omics.nl, hosted by SURF","https://health-holland.com/project/2020/trusted-world-of-corona"]}

Published
2022
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34. Bayesian Network Classifiers for Time-Series Microarray Data

Author

Tucker, Allan, Vinciotti, Veronica, ’t Hoen, Peter A. C., Liu, Xiaohui, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Famili, A. Fazel, editor, Kok, Joost N., editor, Peña, José M., editor, Siebes, Arno, editor, and Feelders, Ad, editor

Published
2005
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35. Correction to: Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases

Author

Zurek, Birte, Ellwanger, Kornelia, Ossowski, Stephan, Havrylenko, Svitlana, Izem, Katia, Rigour, Fanny, Stevanin, Giovanni, Durr, Alexandra, Davoine, Claire-Sophie, Guillot-Noel, Léna, Heinzmann, Anna, Coarelli, Giulia, Allamand, Valérie, 't Hoen, Peter A C, Nelson, Isabelle, Yaou, Rabah Ben, Metay, Corinne, Eymard, Bruno, Cohen, Enzo, Atalaia, Antonio, Stojkovic, Tanya, Macek, Milan, Turnovec, Marek, Thomasová, Dana, Vitobello, Antonio, Kremliková, Radka Pourová, Franková, Vera, Havlovicová, Markéta, Kremlik, Vlastimil, Parkinson, Helen, Keane, Thomas, Senf, Alexander, Robinson, Peter, Danis, Daniel, Robert, Glenn, Schulze-Hentrich, Julia M, Costa, Alessia, Patch, Christine, Hanna, Mike, Houlden, Henry, Reilly, Mary, Vandrovcova, Jana, Muntoni, Francesco, Zaharieva, Irina, Sarkozy, Anna, Timmerman, Vincent, Riess, Olaf, Baets, Jonathan, Van de Vondel, Liedewei, Beijer, Danique, de Jonghe, Peter, Nigro, Vincenzo, Banfi, Sandro, Torella, Annalaura, Musacchia, Francesco, Piluso, Giulio, Ferlini, Alessandra, Brunner, Han G, Selvatici, Rita, Rossi, Rachele, Neri, Marcella, Aretz, Stefan, Spier, Isabel, Sommer, Anna Katharina, Peters, Sophia, Oliveira, Carla, Pelaez, Jose Garcia, Matos, Ana Rita, Brookes, Anthony J, 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, Rath, Ana, van der Vries, Gerben, Neerincx, Pieter B, Roelofs-Prins, Dieuwke, Köhler, Sebastian, Metcalfe, Alison, Verloes, Alain, Drunat, Séverine, Rooryck, Caroline, Trimouille, Aurelien, Castello, Raffaele, Bonne, Gisèle, 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, Gumus, Gulcin, Pizzi, Simone, Radio, Francesca Clementina, Tartaglia, Marco, Renieri, Alessandra, Benetti, Elisa, Balicza, Peter, Molnar, Maria Judit, Maver, Ales, Peterlin, Borut, Münchau, Alexander, Vissers, Lisenka E L M, Lohmann, Katja, Herzog, Rebecca, Pauly, Martje, Macaya, Alfons, Marcé-Grau, Anna, Osorio, Andres Nascimiento, de Benito, Daniel Natera, Lochmüller, Hanns, Thompson, Rachel, Polavarapu, Kiran, Hoogerbrugge, Nicoline, Beeson, David, Cossins, Judith, Cruz, Pedro M Rodriguez, Hackman, Peter, Johari, Mridul, Savarese, Marco, Udd, Bjarne, Horvath, Rita, Capella, Gabriel, Valle, Laura, Evangelista, Teresinha, Holinski-Feder, Elke, Laner, Andreas, Steinke-Lange, Verena, Schröck, Evelin, Rump, Andreas, Harmuth, Tina, Swertz, Morris, Spalding, Dylan, Hoischen, Alexander, Beltran, Sergi, Graessner, Holm, consortium, Solve-RD, Schüle-Freyer, Rebecca, Haack, Tobias B, Demidov, German, Sturm, Marc, Kessler, Christoph, Wayand, Melanie, Wilke, Carlo, Traschütz, Andreas, Synofzik, Matthis, Schöls, Ludger, Hengel, Holger, Heutink, Peter, Brunner, Han, Scheffer, Hans, Steyaert, Wouter, Sablauskas, Karolis, de Voer, Richarda M, Kamsteeg, Erik-Jan, van de Warrenburg, Bart, Töpf, Ana, 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, Laurie, Steven, Alexander, Elizabeth, Jackson, Adam, Faivre, Laurence, Thauvin, Christel, Denommé-Pichon, Anne-Sophie, Duffourd, Yannis, Tisserant, Emilie, Bruel, Ange-Line, Peyron, Christine, Matalonga, Leslie, Pélissier, Aurore, Gut, Ivo Glynne, Piscia, Davide, Papakonstantinou, Anastasios, Bullich, Gemma, Corvo, Alberto, Garcia, Carles, Gilissen, Christian, Fernandez-Callejo, Marcos, Hernández, Carles, Picó, Daniel, Paramonov, Ida, Bros-Facer, Virginie, Hanauer, Marc, Olry, Annie, and Lagorce, David

Subjects
Data sharing, Information retrieval, Pan european, Computer science, Published Erratum, Genetics, MEDLINE, ddc:610, Genetics (clinical)
Published
2021

36. Benchmarking deep learning splice prediction tools using functional splice assays

Author

Riepe, Tabea V., Khan, Mubeen, Roosing, Susanne, Cremers, Frans P. M., and 't Hoen, Peter A. C.

Subjects
Informatics, RNA splicing, Computer science, Computational biology, Biology, ABCA4, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], 03 medical and health sciences, MYBPC3, Genetics, Humans, splice, Gene, Genetics (clinical), 030304 developmental biology, 0303 health sciences, business.industry, Deep learning, splice prediction tools, 030305 genetics & heredity, Genetic variants, deep learning, Benchmarking, Pathogenicity, Introns, Mutation, variant effect prediction, ATP-Binding Cassette Transporters, RNA Splice Sites, Artificial intelligence, business, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19], DSSP (hydrogen bond estimation algorithm), Minigene
Abstract

Hereditary disorders are frequently caused by genetic variants that affect pre‐messenger RNA splicing. Though genetic variants in the canonical splice motifs are almost always disrupting splicing, the pathogenicity of variants in the noncanonical splice sites (NCSS) and deep intronic (DI) regions are difficult to predict. Multiple splice prediction tools have been developed for this purpose, with the latest tools employing deep learning algorithms. We benchmarked established and deep learning splice prediction tools on published gold standard sets of 71 NCSS and 81 DI variants in the ABCA4 gene and 61 NCSS variants in the MYBPC3 gene with functional assessment in midigene and minigene splice assays. The selection of splice prediction tools included CADD, DSSP, GeneSplicer, MaxEntScan, MMSplice, NNSPLICE, SPIDEX, SpliceAI, SpliceRover, and SpliceSiteFinder‐like. The best‐performing splice prediction tool for the different variants was SpliceRover for ABCA4 NCSS variants, SpliceAI for ABCA4 DI variants, and the Alamut 3/4 consensus approach (GeneSplicer, MaxEntScacn, NNSPLICE and SpliceSiteFinder‐like) for NCSS variants in MYBPC3 based on the area under the receiver operator curve. Overall, the performance in a real‐time clinical setting is much more modest than reported by the developers of the tools., The choice of splice prediction tool depends on the dataset. However, deep learning tools show promising results for variants tested in midigene splice assays.

Published
2021

37. Identification of 371 genetic variants for age at first sex and birth linked to externalising behaviour

Author

Mills, Melinda C., Tropf, Felix C., Brazel, David M., van Zuydam, Natalie, Vaez, Ahmad, Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand Kumar, Arindrarto, Wibowo, Awadalla, Philip, Battle, Alexis, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark W., Claringbould, Annique, Deelen, Patrick, Esko, Tõnu, Favé, Marie-Julie, Franke, Lude, Frayling, Timothy, Gharib, Sina A., Gibson, Greg, Heijmans, Bastiaan T., Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johannes, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Lehtimäki, Terho, Loeffler, Markus, Marigorta, Urko M., Mei, Hailang, Milani, Lili, Montgomery, Grant W., Müller-Nurasyid, Martina, Nauck, Matthias, Nivard, Michel G., Penninx, Brenda W. J. H., Perola, Markus, Pervjakova, Natalia, Pierce, Brandon L., Powell, Joseph, Prokisch, Holger, Psaty, Bruce M., Raitakari, Olli T., Ripatti, Samuli, Rotzschke, Olaf, Rüeger, Sina, Saha, Ashis, Scholz, Markus, Schramm, Katharina, Seppälä, Ilkka, Slagboom, Eline P., Stehouwer, Coen D. A., Stumvoll, Michael, Sullivan, Patrick, ‘t Hoen, Peter A. C., Teumer, Alexander, Thiery, Joachim, Tong, Lin, Tönjes, Anke, van Dongen, Jenny, van Iterson, Maarten, van Meurs, Joyce, Veldink, Jan H., Verlouw, Joost, Visscher, Peter M., Völker, Uwe, Võsa, Urmo, Westra, Harm-Jan, Wijmenga, Cisca, Yaghootkar, Hanieh, Yang, Jian, Zeng, Biao, Zhang, Futao, Isaacs, Aaron, Pool, René, Jan Hottenga, Jouke, van Greevenbroek, Marleen M. J., van der Kallen, Carla J. H., Schalkwijk, Casper G., Zhernakova, Sasha, Tigchelaar, Ettje F., Beekman, Marian, Deelen, Joris, van Heemst, Diana, van den Berg, Leonard H., van Duijn, Cornelia M., Hofman, Bert A., Uitterlinden, André G., Jhamai, P. Mila, Verbiest, Michael, Suchiman, H. Eka D., Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Galen, Michiel, Bot, Jan, Zhernakova, Dasha V., van ’t Hof, Peter, Nooren, Irene, Moed, Matthijs, Vermaat, Martijn, Luijk, René, van Dijk, Freerk, Kielbasa, Szymon M., Swertz, Morris A., van Zwet, Erik. W., Akimova, Evelina T., Bergmann, Sven, Boardman, Jason D., Brumat, Marco, Buring, Julie E., Cesarini, David, Chasman, Daniel I., Chavarro, Jorge E., Cocca, Massimiliano, Concas, Maria Pina, Davey-Smith, George, Davies, Gail, Deary, Ian J., Franco, Oscar, Gaskins, Audrey J., de Geus, Eco J. C., Gieger, Christian, Girotto, Giorgia, Grabe, Hans Jörgen, Gunderson, Erica P., Harris, Kathleen Mullan, Hartwig, Fernando P., He, Chunyan, Hill, W. David, Homuth, Georg, Horta, Bernando Lessa, Huang, Hongyang, Hyppӧnen, Elina, Ikram, M. Arfan, Johannesson, Magnus, Kamali, Zoha, Kavousi, Maryam, Kraft, Peter, Kühnel, Brigitte, Langenberg, Claudia, Lind, Penelope A., Luan, Jian’an, Mägi, Reedik, Magnusson, Patrik K. E., Mahajan, Anubha, Martin, Nicholas G., Mbarek, Hamdi, McCarthy, Mark I., McMahon, George, McQueen, Matthew B., Medland, Sarah E., Meitinger, Thomas, Metspalu, Andres, Mihailov, Evelin, Missmer, Stacey A., Møllegaard, Stine, Mook-Kanamori, Dennis O., Morgan, Anna, van der Most, Peter J., de Mutsert, Renée, Nolte, Ilja M., Noordam, Raymond, Peters, Annette, Power, Chris, Redmond, Paul, Rich-Edwards, Janet W., Ridker, Paul M., Rietveld, Cornelius A., Ring, Susan M., Rose, Lynda M., Rueedi, Rico, Stefánsson, Kári, Stöckl, Doris, Strauch, Konstantin, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Turman, Constance, Waldenberger, Melanie, Wareham, Nicholas J., Willemsen, Gonneke, Zhao, Jing Hau, Pers, Tune H., Snieder, Harold, Perry, John R. B., Ong, Ken K., den Hoed, Marcel, Barban, Nicola, Day, Felix R., Mills, M. C., Tropf, F. C., Brazel, D. M., van Zuydam, N., Vaez, A., Agbessi, M., Ahsan, H., Alves, I., Andiappan, A. K., Arindrarto, W., Awadalla, P., Battle, A., Beutner, F., Jan Bonder, M., Boomsma, D. I., Christiansen, M. W., Claringbould, A., Deelen, P., Esko, T., Fave, M. -J., Franke, L., Frayling, T., Gharib, S. A., Gibson, G., Heijmans, B. T., Hemani, G., Jansen, R., Kahonen, M., Kalnapenkis, A., Kasela, S., Kettunen, J., Kim, Y., Kirsten, H., Kovacs, P., Krohn, K., Kronberg, J., Kukushkina, V., Kutalik, Z., Lee, B., Lehtimaki, T., Loeffler, M., Marigorta, U. M., Mei, H., Milani, L., Montgomery, G. W., Muller-Nurasyid, M., Nauck, M., Nivard, M. G., Penninx, B. W. J. H., Perola, M., Pervjakova, N., Pierce, B. L., Powell, J., Prokisch, H., Psaty, B. M., Raitakari, O. T., Ripatti, S., Rotzschke, O., Rueger, S., Saha, A., Scholz, M., Schramm, K., Seppala, I., Slagboom, E. P., Stehouwer, C. D. A., Stumvoll, M., Sullivan, P., 't Hoen, P. A. C., Teumer, A., Thiery, J., Tong, L., Tonjes, A., van Dongen, J., van Iterson, M., van Meurs, J., Veldink, J. H., Verlouw, J., Visscher, P. M., Volker, U., Vosa, U., Westra, H. -J., Wijmenga, C., Yaghootkar, H., Yang, J., Zeng, B., Zhang, F., van Greevenbroek, M. M. J., Schalkwijk, C. G., Deelen, J., van Heemst, D., van Duijn, C. M., Hofman, B. A., Isaacs, A., Uitterlinden, A. G., Verbiest, M., Suchiman, H. E. D., Verkerk, M., van der Breggen, R., van Rooij, J., Lakenberg, N., Bot, J., Zhernakova, D. V., Luijk, R., Bonder, M. J., Swertz, M. A., van Zwet, E. W., Akimova, E. T., Bergmann, S., Boardman, J. D., Buring, J. E., Cesarini, D., Chasman, D. I., Chavarro, J. E., Cocca, M., Concas, M. P., Davey-Smith, G., Davies, G., Deary, I. J., Gaskins, A. J., de Geus, E. J. C., Gieger, C., Girotto, G., Grabe, H. J., Gunderson, E. P., Harris, K. M., Hartwig, F. P., He, C., Homuth, G., Horta, B. L., Jan Hottenga, J., Huang, H., Hyppӧnen, E., Ikram, M. A., Johannesson, M., Kamali, Z., Kavousi, M., Kraft, P., Kuhnel, B., Langenberg, C., Study, L. C., Lind, P. A., Luan, J., Magi, R., Magnusson, P. K. E., Mahajan, A., Martin, N. G., Mbarek, H., Mccarthy, M. I., Mcmahon, G., Mcqueen, M. B., Medland, S. E., Meitinger, T., Metspalu, A., Mihailov, E., Missmer, S. A., Mollegaard, S., Mook-Kanamori, D. O., Morgan, A., van der Most, P. J., de Mutsert, R., Noordam, R., Power, C., Redmond, P., Rich-Edwards, J. W., Ridker, P. M., Rietveld, C. A., Ring, S. M., Rose, L. M., Rueedi, R., Stefansson, K., Stockl, D., Strauch, K., Thurik, A. R., Timpson, N. J., Turman, C., Wareham, N. J., Willemsen, G., Zhao, J. H., Pers, T. H., Snieder, H., Perry, J. R. B., Ong, K. K., den Hoed, M., Barban, N., Day, F. R., Mills, Melinda C, Tropf, Felix C, Brazel, David M, van Zuydam, Natalie, Vaez, Ahmad, Pers, Tune H, Snieder, Harold, Perry, John RB, Ong, Ken K, den Hoed, Marcel, Barban, Nicola, Day, Felix R, Hyppӧnen, Elina, eQTLGen Consortium, BIOS Consortium, Human Reproductive Behaviour Consortium, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, Consortium, eQTLGen, Consortium, BIOS, Consortium, Human Reproductive Behaviour, Mahajan, A, McCarthy, MI, Mills, Melinda C., Tropf, Felix C., Brazel, David M., Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand Kumar, Arindrarto, Wibowo, Awadalla, Philip, Battle, Alexi, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark W., Claringbould, Annique, Deelen, Patrick, Esko, Tõnu, Favé, Marie-Julie, Franke, Lude, Frayling, Timothy, Gharib, Sina A., Gibson, Greg, Heijmans, Bastiaan T., Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johanne, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Lehtimäki, Terho, Loeffler, Marku, Marigorta, Urko M., Mei, Hailang, Milani, Lili, Montgomery, Grant W., Müller-Nurasyid, Martina, Nauck, Matthia, Nivard, Michel G., Penninx, Brenda W. J. H., Perola, Marku, Pervjakova, Natalia, Pierce, Brandon L., Powell, Joseph, Prokisch, Holger, Psaty, Bruce M., Raitakari, Olli T., Ripatti, Samuli, Rotzschke, Olaf, Rüeger, Sina, Saha, Ashi, Scholz, Marku, Schramm, Katharina, Seppälä, Ilkka, Slagboom, Eline P., Stehouwer, Coen D. A., Stumvoll, Michael, Sullivan, Patrick, ‘t Hoen, Peter A. C., Teumer, Alexander, Thiery, Joachim, Tong, Lin, Tönjes, Anke, van Dongen, Jenny, van Iterson, Maarten, van Meurs, Joyce, Veldink, Jan H., Verlouw, Joost, Visscher, Peter M., Völker, Uwe, Võsa, Urmo, Westra, Harm-Jan, Wijmenga, Cisca, Yaghootkar, Hanieh, Yang, Jian, Zeng, Biao, Zhang, Futao, Isaacs, Aaron, Pool, René, Jan Hottenga, Jouke, van Greevenbroek, Marleen M. J., van der Kallen, Carla J. H., Schalkwijk, Casper G., Zhernakova, Sasha, Tigchelaar, Ettje F., Beekman, Marian, Deelen, Jori, van Heemst, Diana, van den Berg, Leonard H., van Duijn, Cornelia M., Hofman, Bert A., Uitterlinden, André G., Jhamai, P. Mila, Verbiest, Michael, Suchiman, H. Eka D., Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Galen, Michiel, Bot, Jan, Zhernakova, Dasha V., van ’t Hof, Peter, Nooren, Irene, Moed, Matthij, Vermaat, Martijn, Luijk, René, van Dijk, Freerk, Kielbasa, Szymon M., Swertz, Morris A., van Zwet, Erik. W., Akimova, Evelina T., Bergmann, Sven, Boardman, Jason D., Brumat, Marco, Buring, Julie E., Cesarini, David, Chasman, Daniel I., Chavarro, Jorge E., Cocca, Massimiliano, Concas, Maria Pina, Davey-Smith, George, Davies, Gail, Deary, Ian J., Franco, Oscar, Gaskins, Audrey J., de Geus, Eco J. C., Gieger, Christian, Girotto, Giorgia, Grabe, Hans Jörgen, Gunderson, Erica P., Harris, Kathleen Mullan, Hartwig, Fernando P., He, Chunyan, Hill, W. David, Homuth, Georg, Horta, Bernando Lessa, Huang, Hongyang, Ikram, M. Arfan, Johannesson, Magnu, Kamali, Zoha, Kavousi, Maryam, Kraft, Peter, Kühnel, Brigitte, Langenberg, Claudia, Lind, Penelope A., Luan, Jian’an, Mägi, Reedik, Magnusson, Patrik K. E., Mahajan, Anubha, Martin, Nicholas G., Mbarek, Hamdi, McCarthy, Mark I., McMahon, George, McQueen, Matthew B., Medland, Sarah E., Meitinger, Thoma, Metspalu, Andre, Mihailov, Evelin, Missmer, Stacey A., Møllegaard, Stine, Mook-Kanamori, Dennis O., Morgan, Anna, van der Most, Peter J., de Mutsert, Renée, Nolte, Ilja M., Noordam, Raymond, Peters, Annette, Power, Chri, Redmond, Paul, Rich-Edwards, Janet W., Ridker, Paul M., Rietveld, Cornelius A., Ring, Susan M., Rose, Lynda M., Rueedi, Rico, Stefánsson, Kári, Stöckl, Dori, Strauch, Konstantin, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Turman, Constance, Waldenberger, Melanie, Wareham, Nicholas J., Willemsen, Gonneke, Zhao, Jing Hau, Pers, Tune H., Perry, John R. B., Ong, Ken K., Day, Felix R., Sociology [until 2010], Biological Psychology, APH - Methodology, Sociology and Social Gerontology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Management and Organisation, Urology, Medical Informatics, Department of Marketing Management, Epidemiology, Internal Medicine, Radiology & Nuclear Medicine, Neurology, Applied Economics, and Life Course Epidemiology (LCE)

Subjects
Male, demography, genetic variants, reproductive biology, externalising behavior, environmental effects, Disease, Genome-wide association studies, Behavioral Neuroscience, 0302 clinical medicine, genetics, media_common, fertility, 0303 health sciences, Reproduction, Incidence (epidemiology), Coitus, Age Factors, Longevity, sexual intercourse, health, Spermatid differentiation, Single Nucleotide, Reproduction/genetics, 3. Good health, Behavioural genetics, Parturition/genetics, Female, infertility, Infertility, genetic variant, Adolescent, Social Psychology, media_common.quotation_subject, Experimental and Cognitive Psychology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Reproductive biology, medicine, Humans, Polymorphism, behavioural genetics, first sexual intercourse, Genetic Association Studies, Demography, 030304 developmental biology, Parturition, Coitus/physiology, medicine.disease, externalising behaviour, Sexual intercourse, Fertility, age, 030217 neurology & neurosurgery, first birth
Abstract

Age at first sexual intercourse and age at first birth have implications for health and evolutionary fitness. In this genome-wide association study (age at first sexual intercourse, N = 387,338; age at first birth, N = 542,901), we identify 371 single-nucleotide polymorphisms, 11 sex-specific, with a 5–6% polygenic score prediction. Heritability of age at first birth shifted from 9% [CI = 4–14%] for women born in 1940 to 22% [CI = 19–25%] for those born in 1965. Signals are driven by the genetics of reproductive biology and externalising behaviour, with key genes related to follicle stimulating hormone (FSHB), implantation (ESR1), infertility and spermatid differentiation. Our findings suggest that polycystic ovarian syndrome may lead to later age at first birth, linking with infertility. Late age at first birth is associated with parental longevity and reduced incidence of type 2 diabetes and cardiovascular disease. Higher childhood socioeconomic circumstances and those in the highest polygenic score decile (90%+) experience markedly later reproductive onset. Results are relevant for improving teenage and late-life health, understanding longevity and guiding experimentation into mechanisms of infertility.

Published
2021

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

Author

Laurie, Steven, Piscia, Davide, Matalonga, Leslie, Corvo, Alberto, Fernandez-Callejo, Marcos, Garcia-Linares, Carles, Hernandez-Ferrer, Carles, Luengo, Cristina, Martinez, Ines, Papakonstantinou, Anastasios, Pico-Amador, Daniel, Protasio, Joan, Thompson, Rachel, Tonda, Raul, Bayes, Monica, Bullich, Gemma, Camps-Puchadas, Jordi, Paramonov, Ida, Trotta, Jean-Remi, Alonso, Angel, Attimonelli, Marcella, Beroud, Christophe, Bros-Facer, Virginie, Buske, Orion J., Canada-Pallares, Andres, Fernandez, Jose M., Hansson, Mats G., Horvath, Rita, Jacobsen, Julius O. B., Kaliyaperumal, Rajaram, Lair-Preterre, Severine, Licata, Luana, Lopes, Pedro, Lopez-Martin, Estrella, Mascalzoni, Deborah, Monaco, Lucia, Perez-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., Topf, Ana, Zaharieva, Irina, Graessner, Holm, Gut, Ivo G., Lochmuller, Hanns, Beltran, Sergi, Laurie, Steven, Piscia, Davide, Matalonga, Leslie, Corvo, Alberto, Fernandez-Callejo, Marcos, Garcia-Linares, Carles, Hernandez-Ferrer, Carles, Luengo, Cristina, Martinez, Ines, Papakonstantinou, Anastasios, Pico-Amador, Daniel, Protasio, Joan, Thompson, Rachel, Tonda, Raul, Bayes, Monica, Bullich, Gemma, Camps-Puchadas, Jordi, Paramonov, Ida, Trotta, Jean-Remi, Alonso, Angel, Attimonelli, Marcella, Beroud, Christophe, Bros-Facer, Virginie, Buske, Orion J., Canada-Pallares, Andres, Fernandez, Jose M., Hansson, Mats G., Horvath, Rita, Jacobsen, Julius O. B., Kaliyaperumal, Rajaram, Lair-Preterre, Severine, Licata, Luana, Lopes, Pedro, Lopez-Martin, Estrella, Mascalzoni, Deborah, Monaco, Lucia, Perez-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., Topf, Ana, Zaharieva, Irina, Graessner, Holm, Gut, Ivo G., Lochmuller, Hanns, and Beltran, Sergi

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.

Published
2022
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39. Tackling the translational challenges of multi-omics research in the realm of European personalised medicine : A workshop report

Author

Oldoni, Emanuela, Saunders, Gary, Bietrix, Florence, Garcia Bermejo, Maria Laura, Niehues, Anna, 't Hoen, Peter A C, Nordlund, Jessica, Hajduch, Marian, Scherer, Andreas, Kivinen, Katja, Pitkänen, Esa, Mäkela, Tomi Pekka, Gut, Ivo, Scollen, Serena, Kozera, Łukasz, Esteller, Manel, Shi, Leming, Ussi, Anton, Andreu, Antonio L, van Gool, Alain J, Oldoni, Emanuela, Saunders, Gary, Bietrix, Florence, Garcia Bermejo, Maria Laura, Niehues, Anna, 't Hoen, Peter A C, Nordlund, Jessica, Hajduch, Marian, Scherer, Andreas, Kivinen, Katja, Pitkänen, Esa, Mäkela, Tomi Pekka, Gut, Ivo, Scollen, Serena, Kozera, Łukasz, Esteller, Manel, Shi, Leming, Ussi, Anton, Andreu, Antonio L, and van Gool, Alain J

Abstract

Personalised medicine (PM) presents a great opportunity to improve the future of individualised healthcare. Recent advances in -omics technologies have led to unprecedented efforts characterising the biology and molecular mechanisms that underlie the development and progression of a wide array of complex human diseases, supporting further development of PM. This article reflects the outcome of the 2021 EATRIS-Plus Multi-omics Stakeholder Group workshop organised to 1) outline a global overview of common promises and challenges that key European stakeholders are facing in the field of multi-omics research, 2) assess the potential of new technologies, such as artificial intelligence (AI), and 3) establish an initial dialogue between key initiatives in this space. Our focus is on the alignment of agendas of European initiatives in multi-omics research and the centrality of patients in designing solutions that have the potential to advance PM in long-term healthcare strategies.

Published
2022
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40. FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research

Author

Genetica Medische Informatica, Pathologie Moleculair, Infection & Immunity, van der Velde, K Joeri, Singh, Gurnoor, Kaliyaperumal, Rajaram, Liao, XiaoFeng, de Ridder, Sander, Rebers, Susanne, Kerstens, Hindrik H D, de Andrade, Fernanda, van Reeuwijk, Jeroen, De Gruyter, Fini E, Hiltemann, Saskia, Ligtvoet, Maarten, Weiss, Marjan M, van Deutekom, Hanneke W M, Jansen, Anne M L, Stubbs, Andrew P, Vissers, Lisenka E L M, Laros, Jeroen F J, van Enckevort, Esther, Stemkens, Daphne, 't Hoen, Peter A C, Beliën, Jeroen A M, van Gijn, Mariëlle E, Swertz, Morris A, Genetica Medische Informatica, Pathologie Moleculair, Infection & Immunity, van der Velde, K Joeri, Singh, Gurnoor, Kaliyaperumal, Rajaram, Liao, XiaoFeng, de Ridder, Sander, Rebers, Susanne, Kerstens, Hindrik H D, de Andrade, Fernanda, van Reeuwijk, Jeroen, De Gruyter, Fini E, Hiltemann, Saskia, Ligtvoet, Maarten, Weiss, Marjan M, van Deutekom, Hanneke W M, Jansen, Anne M L, Stubbs, Andrew P, Vissers, Lisenka E L M, Laros, Jeroen F J, van Enckevort, Esther, Stemkens, Daphne, 't Hoen, Peter A C, Beliën, Jeroen A M, van Gijn, Mariëlle E, and Swertz, Morris A

Published
2022

42. Genome-wide study of DNA methylation shows alterations in metabolic, inflammatory, and cholesterol pathways in ALS

Author

Hop, Paul J., Zwamborn, Ramona A. J., Hannon, Eilis, Shireby, Gemma L., Nabais, Marta F., Walker, Emma M., van Rheenen, Wouter, van Vugt, Joke J. F. A., Dekker, Annelot M., Westeneng, Henk-Jan, Tazelaar, Gijs H. P., Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, van Heemst, Diana, Veldink, Jan H., van den Berg, Leonard H., van Duijn, Cornelia M., Hofman, Bert A., Isaacs, Aaron, Uitterlinden, Andre G., van Eijk, Kristel R., van Meurs, Joyce, Jhamai, P. Mila, Verbiest, Michael, Suchiman, H. Eka D., Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, Moisse, Matthieu, van Galen, Michiel, Bot, Jan, Zhernakova, Dasha V., Jansen, Rick, van ‘t Hof, Peter, Deelen, Patrick, Nooren, Irene, t Hoen, Peter A. C., Heijmans, Bastiaan T., Moed, Matthijs, Baird, Denis, Franke, Lude, Vermaat, Martijn, Luijk, Rene, Jan Bonder, Marc, van Dijk, Freerk, Arindrarto, Wibowo, Al Khleifat, Ahmad, Kielbasa, Szymon M., Swertz, Morris A., van Zwet, Erik W., Al-Chalabi, Ammar, Wray, Naomi R., Bensimon, Gilbert, Hardiman, Orla, Iacoangeli, Alfredo, Chio, Adriano, Smith, George Davey, Mill, Jonathan, Ticozzi, Nicola, Ratti, Antonia, Cooper-Knock, Jonathan, Morrison, Karen E., Shaw, Pamela J., Basak, A. Nazli, Chiò, Adriano, Calvo, Andrea, Moglia, Cristina, Canosa, Antonio, Brunetti, Maura, Grassano, Maurizio, Gotkine, Marc, Lerner, Yossef, Zabari, Michal, Vourc’h, Patrick, Corcia, Philippe, Couratier, Philippe, Mora Pardina, Jesus S., Salas, Teresa, Dion, Patrick, Ross, Jay P., Henderson, Robert D., Mathers, Susan, McCombe, Pamela A., Needham, Merrilee, Nicholson, Garth, Rowe, Dominic B., Pamphlett, Roger, Mather, Karen A., Sachdev, Perminder S., Furlong, Sarah, Garton, Fleur C., Henders, Anjali K., Lin, Tian, Ngo, Shyuan T., Steyn, Frederik J., Wallace, Leanne, Williams, Kelly L., Neto, Miguel Mitne, Cauchi, Ruben J., Blair, Ian P., Kiernan, Matthew C., Drory, Vivian, Povedano, Monica, Carvalho, Mamede, Pinto, Susana, Weber, Markus, Rouleau, Guy A., Silani, Vincenzo, Landers, John E., Shaw, Christopher E., Andersen, Peter M., McRae, Allan F., van Es, Michael A., Pasterkamp, R. Jeroen, McLaughlin, Russell L., Kenna, Kevin P., Tsai, Ellen, Runz, Heiko, Van Damme, Philip, Boomsma, Dorret I., Pool, Rene, van Dongen, Jenny, Hottenga, Joukje J., van Greevenbroek, Marleen M. J., Stehouwer, Coen D.A., van der Kallen, Carla J.H., Schalkwijk, Casper G., Wijmenga, Cisca, Zhernakova, Sasha, Tigchelaar, Ettje F., Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Translational Immunology Groningen (TRIGR), Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Laboratory Medicine, APH - Mental Health, Internal Medicine, Epidemiology, and Repositório da Universidade de Lisboa

Subjects
Cholesterol, Amyotrophic Lateral Sclerosis, Humans, Neurodegenerative Diseases, General Medicine, DNA Methylation, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19], Article, Epigenesis, Genetic, Genome-Wide Association Study
Abstract

Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works., Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with an estimated heritability between 40 and 50%. DNA methylation patterns can serve as proxies of (past) exposures and disease progression, as well as providing a potential mechanism that mediates genetic or environmental risk. Here, we present a blood-based epigenome-wide association study meta-analysis in 9706 samples passing stringent quality control (6763 patients, 2943 controls). We identified a total of 45 differentially methylated positions (DMPs) annotated to 42 genes, which are enriched for pathways and traits related to metabolism, cholesterol biosynthesis, and immunity. We then tested 39 DNA methylation-based proxies of putative ALS risk factors and found that high-density lipoprotein cholesterol, body mass index, white blood cell proportions, and alcohol intake were independently associated with ALS. Integration of these results with our latest genome-wide association study showed that cholesterol biosynthesis was potentially causally related to ALS. Last, DNA methylation at several DMPs and blood cell proportion estimates derived from DNA methylation data were associated with survival rate in patients, suggesting that they might represent indicators of underlying disease processes potentially amenable to therapeutic interventions., The research reported in this publication was supported by grants from The Dutch Research Council (NWO) (VENI scheme grant 09150161810018 to W.v.R.) and Prinses Beatrix Spierfond (neuromuscular fellowship grant W.F19-03 to W.v.R.), The Prinses Beatrix Spierfonds (W.OR20-08 to J.J.F.A.v.V. and J.H.V.), The Canadian Institutes of Health Research (FRN 159279 to J.P.R.), The Dutch Research Council (NWO) (VIDI grant 91719350 to K.P.K.), The European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 772376-EScORIAL to J.H.V.), the Swedish Brain Foundation (grant nos. 2012-0262, 2012-0305, 2013-0279, 2016-0303, 2018-0310, and 2020-0353 to P.M.A.), the Swedish Research Council (grant nos. 2012-3167 and 2017-03100 to P.M.A.), the Knut and Alice Wallenberg Foundation (grant nos. 2012.0091, 2014.0305, and 2020.0232 to P.M.A.), the Ulla-Carin Lindquist Foundation and the Västerbotten County Council (grant no. 56103-7002829 to P.M.A.), and King Gustaf V’s and Queen Victoria’s Freemason’s Foundation. This is an EU Joint Programme–Neurodegenerative Disease Research (JPND) project. The project is supported through the following funding organizations under the aegis of JPND (www.jpnd.eu) [United Kingdom, Medical Research Council (MR/L501529/1; MR/R024804/1) and Economic and Social Research Council (ES/L008238/1)] and through the Motor Neurone Disease Association (MNDA). This study represents independent research part funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. A.A.-C. is supported by an NIHR Senior Investigator Award. Samples used in this research were entirely/in part obtained from the U.K. National DNA Bank for MND Research, funded by the MND Association and the Wellcome Trust. We would like to thank people with MND and their families for their participation in this project. We acknowledge sample management undertaken by Biobanking Solutions funded by the Medical Research Council at the Centre for Integrated Genomic Medical Research, University of Manchester. R.J.P. is funded through the Gravitation program of the Dutch Ministry of Education, Culture, and Science and the Netherlands Organization for Scientific Research (BRAINSCAPES). G.L.S. was supported by a PhD studentship from the Alzheimer’s Society. S.T.N. acknowledges support through a FightMND Mid-Career Fellowship. V.S. is supported by the Italian Ministry of Health, AriSLA, and E-Rare Joint Transnational Call. A.A.K. is funded by the MNDA and NIHR Maudsley Biomedical Research Centre. D.B., E.T., and H.R. are employees of Biogen. L.H.v.d.B. reports grants from the Netherlands ALS Foundation, grants from The Netherlands Organization for Health Research and Development (Vici scheme), grants from The European Community’s Health Seventh Framework Programme [grant agreement no. 259867 (EuroMOTOR) to L.H.v.d.B.], and grants from The Netherlands Organization for Health Research and Development (the STRENGTH project, funded through the EU Joint Programme–Neurodegenerative Disease Research, JPND), during the conduct of the study. Project MinE Belgium was supported by a grant from IWT (no. 140935), the ALS Liga België, the National Lottery of Belgium, and the KU Leuven Opening the Future Fund. P.V.D. holds a senior clinical investigatorship of FWO-Vlaanderen and is supported by the E. von Behring Chair for Neuromuscular and Neurodegenerative Disorders, the ALS Liga België, and the KU Leuven funds “Een Hart voor ALS”, “Laeversfonds voor ALS Onderzoek”, and the “Valéry Perrier Race against ALS Fund”. This work was supported by the Italian Ministry of Health (Ministero della Salute, Ricerca Sanitaria Finalizzata, grant RF-2016-02362405 to A. Chiò), the Progetti di Rilevante Interesse Nazionale program of the Ministry of Education, University and Research (grant 2017SNW5MB to A. Chiò); the European Commission’s Health Seventh Framework Programme (FP7/2007-2013 under grant agreement 259867 to A. Chiò), and the Joint Programme–Neurodegenerative Disease Research (Strength, ALS-Care and Brain-Mend projects), granted by Italian Ministry of Education, University, and Research. This study was performed under the Department of Excellence grant of the Italian Ministry of Education, University and Research to the “Rita Levi Montalcini” Department of Neuroscience, University of Torino, Italy. We acknowledge funding from the Australian National Health and Medical Research (NHMRC) Council: 1151854, 1083187, 1173790, 1078901, 1113400, 1095215, and 1176913 Enabling Grant #402703 to N.R.W. Additional funding was provided by the Motor Neurone Disease Research Institute of Australia Ice Bucket Challenge grant for the SALSA-SGC consortium. The OATS (used for controls) was facilitated through Twins Research Australia, a national resource in part supported by a Centre for Research Excellence from the Australian NHMRC Council (NHMRC 1079102 to N.R.W.). Funding for this study was awarded by the (NHMRC)/Australian Research Council Strategic Award (grant 401162 to N.R.W.) and NHMRC grants (1405325, 1024224, 1025243, 1045325, 1085606, 568969, and 1093083 to N.R.W.). The collaboration project is cofunded by the PPP Allowance made available by Health~Holland, Top Sector Life Sciences & Health, to stimulate public-private partnerships. This study was supported by the ALS Foundation Netherlands. This work was sponsored by NWO Domain Science for the use of the national computer facilities. A.N.B. is grateful to the Suna and Inan Kirac Foundation and Koc University for the excellent research environment created and for financial support. G.A.R. is supported by the Canadian Institutes of Health. Several authors of this publication are members of the Netherlands Neuromuscular Center (NL-NMD) and the European Reference Network for rare neuromuscular diseases EURO-NMD. French ALS patients of the Pitié-Salpêtrière hospital (Paris) have been collected with ARSla funding support.

Published
2022

45. DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan

Author

van Dongen, Jenny, Hagenbeek, Fiona A., Suderman, Matthew, Roetman, Peter J., Sugden, Karen, Chiocchetti, Andreas G., Ismail, Khadeeja, Mulder, Rosa H., Hafferty, Jonathan D., Adams, Mark J., Walker, Rosie M., Morris, Stewart W., Lahti, Jari, Küpers, Leanne K., Escaramis, Georgia, Alemany, Silvia, Jan Bonder, Marc, Meijer, Mandy, Ip, Hill F., Jansen, Rick, Baselmans, Bart M. L., Parmar, Priyanka, Lowry, Estelle, Streit, Fabian, Sirignano, Lea, Send, Tabea S., Frank, Josef, Jylhävä, Juulia, Wang, Yunzhang, Mishra, Pashupati Prasad, Colins, Olivier F., Corcoran, David L., Poulton, Richie, Mill, Jonathan, Hannon, Eilis, Arseneault, Louise, Korhonen, Tellervo, Vuoksimaa, Eero, Felix, Janine F., Bakermans-Kranenburg, Marian J., Campbell, Archie, Czamara, Darina, Binder, Elisabeth, Corpeleijn, Eva, Gonzalez, Juan R., Grazuleviciene, Regina, Gutzkow, Kristine B., Evandt, Jorunn, Vafeiadi, Marina, Klein, Marieke, van der Meer, Dennis, Ligthart, Lannie, Heijmans, Bastiaan T., ’t Hoen, Peter A. C., van Meurs, Joyce, Franke, Lude, Boomsma, Dorret I., Pool, René, Hottenga, Jouke J., van Greevenbroek, Marleen M. J., Stehouwer, Coen D. A., van der Kallen, Carla J. H., Schalkwijk, Casper G., Wijmenga, Cisca, Zhernakova, Sasha, Tigchelaar, Ettje F., Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, van Heemst, Diana, Veldink, Jan H., van den Berg, Leonard H., van Duijn, Cornelia M., Hofman, Bert A., Isaacs, Aaron, Uitterlinden, André G., Jhamai, P. Mila, Verbiest, Michael, Suchiman, H. Eka D., Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, van Galen, Michiel, Bot, Jan, Zhernakova, Dasha V., van ’t Hof, Peter, Deelen, Patrick, Nooren, Irene, Moed, Matthijs, Vermaat, Martijn, Luijk, René, van Dijk, Freerk, Arindrarto, Wibowo, Kielbasa, Szymon M., Swertz, Morris A., van Zwet, Erik. W., ’t Hoen, Peter-Bram, Kluft, Cornelis, Davies, Gareth E., Hakulinen, Christian, Keltikangas-Järvinen, Liisa, Franke, Barbara, Freitag, Christine M., Konrad, Kerstin, Hervas, Amaia, Fernández-Rivas, Aranzazu, Vetro, Agnes, Raitakari, Olli, Lehtimäki, Terho, Vermeiren, Robert, Strandberg, Timo, Räikkönen, Katri, Snieder, Harold, Witt, Stephanie H., Deuschle, Michael, Pedersen, Nancy L., Hägg, Sara, Sunyer, Jordi, Kaprio, Jaakko, Ollikainen, Miina, Moffitt, Terrie E., Tiemeier, Henning, van IJzendoorn, Marinus H., Relton, Caroline, Vrijheid, Martine, Sebert, Sylvain, Jarvelin, Marjo-Riitta, Caspi, Avshalom, Evans, Kathryn L., McIntosh, Andrew M., Bartels, Meike, Child and Adolescent Psychiatry / Psychology, Pediatrics, Internal Medicine, Urology, Epidemiology, Orthopedics and Sports Medicine, Clinical Child and Family Studies, van der Kallen, Carla J. H., Schalkwijk, Casper G., Wijmenga, Cisca, Franke, Lude, Zhernakova, Sasha, Tigchelaar, Ettje F., Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, van Heemst, Diana, Veldink, Jan H., van den Berg, Leonard H., van Duijn, Cornelia M., Hofman, Bert A., Isaacs, Aaron, Uitterlinden, André G., van Meurs, Joyce, Jhamai, P. Mila, Verbiest, Michael, Suchiman, H. Eka D., Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, van Galen, Michiel, Bot, Jan, Zhernakova, Dasha V., Jansen, Rick, van 't Hof, Peter, Deelen, Patrick, Nooren, Irene, 't Hoen, Peter A. C., Heijmans, Bastiaan T., Moed, Matthijs, Vermaat, Martijn, Luijk, René, Jan Bonder, Marc, van Dijk, Freerk, Arindrarto, Wibowo, Kielbasa, Szymon M., Swertz, Morris A., van Zwet, Erik W., 't Hoen, Peter-Bram, Boomsma, Dorret I., Pool, René, van Dongen, Jenny, Hottenga, Jouke J., van Greevenbroek, Marleen M. J., Stehouwer, Coen D. A., Institute for Molecular Medicine Finland, University of Helsinki, Doctoral Programme in Cognition, Learning, Instruction and Communication, Department of Psychology and Logopedics, Faculty of Medicine, Tellervo Korhonen / Principal Investigator, Genetic Epidemiology, Faculty Common Matters (Faculty of Medicine), Cognitive and Brain Aging, Helsinki Inequality Initiative (INEQ), Psychosocial factors and health, Faculty Common Matters (Faculty of Education), Medicum, HUS Internal Medicine and Rehabilitation, Timo Strandberg / Principal Investigator, Department of Medicine, Clinicum, Geriatrian yksikkö, Reproductive Origins of Adult Health and Disease (ROAHD), Life Course Epidemiology (LCE), Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Pediatric surgery, APH - Mental Health, Amsterdam Reproduction & Development (AR&D), APH - Personalized Medicine, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Methodology, Tampere University, Health Sciences, Department of Clinical Chemistry, Clinical Medicine, RS: MHeNs - R2 - Mental Health, and Psychiatrie & Neuropsychologie

Subjects
0301 basic medicine, Molecular biology, ADN, Physiology, CHILDREN, 3124 Neurology and psychiatry, Epigenesis, Genetic, Epigenome, 0302 clinical medicine, Child, RISK, ASSOCIATION, Middle Aged, Justice and Strong Institutions, Aggression, Psychiatry and Mental health, Schizophrenia, TWINS, Meta-analysis, Cord blood, Child, Preschool, DNA methylation, HEALTH, medicine.symptom, SMOKING, Adult, SDG 16 - Peace, Adolescent, 515 Psychology, Longevity, Biology, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Young Adult, SDG 3 - Good Health and Well-being, Genetic variation, medicine, Genetics, Humans, ddc:610, EXPOSURE, ABUSE, Genetic association, Aged, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], SDG 16 - Peace, Justice and Strong Institutions, 3112 Neurosciences, GENOME-WIDE, DNA Methylation, Epigenètica, medicine.disease, 3141 Health care science, 030104 developmental biology, COHORT PROFILE, 1182 Biochemistry, cell and molecular biology, CpG Islands, 3111 Biomedicine, Metaanàlisi, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Molecular psychiatry 26(6), 2148-2162 (2021). doi:10.1038/s41380-020-00987-x, Published by Macmillan, London

Published
2021

49. Affinity proteomics within rare diseases: a BIO‐NMD study for blood biomarkers of muscular dystrophies

Author

Ayoglu, Burcu, Chaouch, Amina, Lochmüller, Hanns, Politano, Luisa, Bertini, Enrico, Spitali, Pietro, Hiller, Monika, Niks, Eric H, Gualandi, Francesca, Pontén, Fredrik, Bushby, Kate, Aartsma‐Rus, Annemieke, Schwartz, Elena, Le Priol, Yannick, Straub, Volker, Uhlén, Mathias, Cirak, Sebahattin, ‘t Hoen, Peter A C, Muntoni, Francesco, Ferlini, Alessandra, Schwenk, Jochen M, Nilsson, Peter, and Al‐Khalili Szigyarto, Cristina

Published
2014
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