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2. Discovery of potential plasma protein biomarkers for ventricular fibrillation due to first ST-elevation myocardial infarction via proteomics

Author

Stampe, N K, primary, Ottenheijm, M E, additional, Drici, L, additional, Wewer Albrechtsen, N J, additional, Nielsen, A B, additional, Christoffersen, C, additional, Warming, P E, additional, Engstroem, T, additional, Winkel, B G, additional, Jabbari, R, additional, Tfelt-Hansen, J, additional, and Glinge, C, additional

Published
2023
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3. Nationwide observational study of antithrombotic treatment strategies after coronary artery bypass graft surgery in patients with atrial fibrillation

Author

Jacobsen, M R, primary, Reza Jabbari, R J, additional, Thomas Engstroem, T E, additional, Erik Lerkevang Grove, E L G, additional, Charlotte Glinge, C G, additional, Jawad Haider Butt, J H B, additional, Lene Holmvang, L H, additional, Emil Loldrup Fosboel, E L F, additional, Lars Koeber, L K, additional, Christian Torp-Pedersen, C T P, additional, and Rikke Soerensen, R S, additional

Published
2023
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5. High bleeding risk in all-comers with ST-segment elevation myocardial infarction and use of P2Y12-inhibitiors

Author

Jacobsen, M R, primary, Jabbari, R, additional, Engstroem, T, additional, Grove, E L, additional, Glinge, C, additional, Pedersen, F, additional, Holmvang, L, additional, Koeber, L, additional, Torp-Pedersen, C, additional, Maeng, M, additional, Veien, K, additional, Freeman, P, additional, Charlot, M G, additional, Kelbaek, H, additional, and Soerensen, R, additional

Published
2022
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6. Transethnic genome-wide association study provides insights in the genetic architecture and heritability of long QT syndrome

Author

Lahrouchi, N, Tadros, R, Crotti, L, Mizusawa, Y, Postema, P, Beekman, L, Walsh, R, Hasegawa, K, Barc, J, Ernsting, M, Turkowski, K, Mazzanti, A, Beckmann, B, Shimamoto, K, Diamant, U, Wijeyeratne, Y, Kucho, Y, Robyns, T, Ishikawa, T, Arbelo, E, Christiansen, M, Winbo, A, Jabbari, R, Lubitz, S, Steinfurt, J, Rudic, B, Loeys, B, Shoemaker, M, Weeke, P, Pfeiffer, R, Davies, B, Andorin, A, Hofman, N, Dagradi, F, Pedrazzini, M, Tester, D, Bos, J, Sarquella-Brugada, G, Campuzano, Ó, Platonov, P, Stallmeyer, B, Zumhagen, S, Nannenberg, E, Veldink, J, van den Berg, L, Al-Chalabi, A, Shaw, C, Shaw, P, Morrison, K, Andersen, P, Müller-Nurasyid, M, Cusi, D, Barlassina, C, Galan, P, Lathrop, M, Munter, M, Werge, T, Ribasés, M, Aung, T, Khor, C, Ozaki, M, Lichtner, P, Meitinger, T, van Tintelen, J, Hoedemaekers, Y, Denjoy, I, Leenhardt, A, Napolitano, C, Shimizu, W, Schott, J, Gourraud, J, Makiyama, T, Ohno, S, Itoh, H, Krahn, A, Antzelevitch, C, Roden, D, Saenen, J, Borggrefe, M, Odening, K, Ellinor, P, Tfelt-Hansen, J, Skinner, J, van den Berg, M, Olesen, M, Brugada, J, Brugada, R, Makita, N, Breckpot, J, Yoshinaga, M, Behr, E, Rydberg, A, Aiba, T, Kääb, S, Priori, S, Guicheney, P, Tan, H, Newton-Cheh, C, Ackerman, M, Schwartz, P, Schulze-Bahr, E, Probst, V, Horie, M, Wilde, A, Tanck, M, Bezzina, C, Lahrouchi N, Tadros R, Crotti L, Mizusawa Y, Postema PG, Beekman L, Walsh R, Hasegawa K, Barc J, Ernsting M, Turkowski KL, Mazzanti A, Beckmann BM, Shimamoto K, Diamant UB, Wijeyeratne YD, Kucho Y, Robyns T, Ishikawa T, Arbelo E, Christiansen M, Winbo A, Jabbari R, Lubitz SA, Steinfurt J, Rudic B, Loeys B, Shoemaker MB, Weeke PE, Pfeiffer R, Davies B, Andorin A, Hofman N, Dagradi F, Pedrazzini M, Tester DJ, Bos JM, Sarquella-Brugada G, Campuzano Ó, Platonov PG, Stallmeyer B, Zumhagen S, Nannenberg EA, Veldink JH, van den Berg LH, Al-Chalabi A, Shaw CE, Shaw PJ, Morrison KE, Andersen PM, Müller-Nurasyid M, Cusi D, Barlassina C, Galan P, Lathrop M, Munter M, Werge T, Ribasés M, Aung T, Khor CC, Ozaki M, Lichtner P, Meitinger T, van Tintelen JP, Hoedemaekers Y, Denjoy I, Leenhardt A, Napolitano C, Shimizu W, Schott JJ, Gourraud JB, Makiyama T, Ohno S, Itoh H, Krahn AD, Antzelevitch C, Roden DM, Saenen J, Borggrefe M, Odening KE, Ellinor PT, Tfelt-Hansen J, Skinner JR, van den Berg MP, Olesen MS, Brugada J, Brugada R, Makita N, Breckpot J, Yoshinaga M, Behr ER, Rydberg A, Aiba T, Kääb S, Priori SG, Guicheney P, Tan HL, Newton-Cheh C, Ackerman MJ, Schwartz PJ, Schulze-Bahr E, Probst V, Horie M, Wilde AA, Tanck MWT, Bezzina CR., Lahrouchi, N, Tadros, R, Crotti, L, Mizusawa, Y, Postema, P, Beekman, L, Walsh, R, Hasegawa, K, Barc, J, Ernsting, M, Turkowski, K, Mazzanti, A, Beckmann, B, Shimamoto, K, Diamant, U, Wijeyeratne, Y, Kucho, Y, Robyns, T, Ishikawa, T, Arbelo, E, Christiansen, M, Winbo, A, Jabbari, R, Lubitz, S, Steinfurt, J, Rudic, B, Loeys, B, Shoemaker, M, Weeke, P, Pfeiffer, R, Davies, B, Andorin, A, Hofman, N, Dagradi, F, Pedrazzini, M, Tester, D, Bos, J, Sarquella-Brugada, G, Campuzano, Ó, Platonov, P, Stallmeyer, B, Zumhagen, S, Nannenberg, E, Veldink, J, van den Berg, L, Al-Chalabi, A, Shaw, C, Shaw, P, Morrison, K, Andersen, P, Müller-Nurasyid, M, Cusi, D, Barlassina, C, Galan, P, Lathrop, M, Munter, M, Werge, T, Ribasés, M, Aung, T, Khor, C, Ozaki, M, Lichtner, P, Meitinger, T, van Tintelen, J, Hoedemaekers, Y, Denjoy, I, Leenhardt, A, Napolitano, C, Shimizu, W, Schott, J, Gourraud, J, Makiyama, T, Ohno, S, Itoh, H, Krahn, A, Antzelevitch, C, Roden, D, Saenen, J, Borggrefe, M, Odening, K, Ellinor, P, Tfelt-Hansen, J, Skinner, J, van den Berg, M, Olesen, M, Brugada, J, Brugada, R, Makita, N, Breckpot, J, Yoshinaga, M, Behr, E, Rydberg, A, Aiba, T, Kääb, S, Priori, S, Guicheney, P, Tan, H, Newton-Cheh, C, Ackerman, M, Schwartz, P, Schulze-Bahr, E, Probst, V, Horie, M, Wilde, A, Tanck, M, Bezzina, C, Lahrouchi N, Tadros R, Crotti L, Mizusawa Y, Postema PG, Beekman L, Walsh R, Hasegawa K, Barc J, Ernsting M, Turkowski KL, Mazzanti A, Beckmann BM, Shimamoto K, Diamant UB, Wijeyeratne YD, Kucho Y, Robyns T, Ishikawa T, Arbelo E, Christiansen M, Winbo A, Jabbari R, Lubitz SA, Steinfurt J, Rudic B, Loeys B, Shoemaker MB, Weeke PE, Pfeiffer R, Davies B, Andorin A, Hofman N, Dagradi F, Pedrazzini M, Tester DJ, Bos JM, Sarquella-Brugada G, Campuzano Ó, Platonov PG, Stallmeyer B, Zumhagen S, Nannenberg EA, Veldink JH, van den Berg LH, Al-Chalabi A, Shaw CE, Shaw PJ, Morrison KE, Andersen PM, Müller-Nurasyid M, Cusi D, Barlassina C, Galan P, Lathrop M, Munter M, Werge T, Ribasés M, Aung T, Khor CC, Ozaki M, Lichtner P, Meitinger T, van Tintelen JP, Hoedemaekers Y, Denjoy I, Leenhardt A, Napolitano C, Shimizu W, Schott JJ, Gourraud JB, Makiyama T, Ohno S, Itoh H, Krahn AD, Antzelevitch C, Roden DM, Saenen J, Borggrefe M, Odening KE, Ellinor PT, Tfelt-Hansen J, Skinner JR, van den Berg MP, Olesen MS, Brugada J, Brugada R, Makita N, Breckpot J, Yoshinaga M, Behr ER, Rydberg A, Aiba T, Kääb S, Priori SG, Guicheney P, Tan HL, Newton-Cheh C, Ackerman MJ, Schwartz PJ, Schulze-Bahr E, Probst V, Horie M, Wilde AA, Tanck MWT, and Bezzina CR.

Abstract

Background: Long QT syndrome (LQTS) is a rare genetic disorder and a major preventable cause of sudden cardiac death in the young. A causal rare genetic variant with large effect size is identified in up to 80% of probands (genotype positive) and cascade family screening shows incomplete penetrance of genetic variants. Furthermore, a proportion of cases meeting diagnostic criteria for LQTS remain genetically elusive despite genetic testing of established genes (genotype negative). These observations raise the possibility that common genetic variants with small effect size contribute to the clinical picture of LQTS. This study aimed to characterize and quantify the contribution of common genetic variation to LQTS disease susceptibility. Methods: We conducted genome-wide association studies followed by transethnic meta-analysis in 1656 unrelated patients with LQTS of European or Japanese ancestry and 9890 controls to identify susceptibility single nucleotide polymorphisms. We estimated the common variant heritability of LQTS and tested the genetic correlation between LQTS susceptibility and other cardiac traits. Furthermore, we tested the aggregate effect of the 68 single nucleotide polymorphisms previously associated with the QT-interval in the general population using a polygenic risk score. Results: Genome-wide association analysis identified 3 loci associated with LQTS at genome-wide statistical significance (P5×10-8) near NOS1AP, KCNQ1, and KLF12, and 1 missense variant in KCNE1(p.Asp85Asn) at the suggestive threshold (P10-6). Heritability analyses showed that ≈15% of variance in overall LQTS susceptibility was attributable to common genetic variation (h2SNP 0.148; standard error 0.019). LQTS susceptibility showed a strong genome-wide genetic correlation with the QT-interval in the general population (rg=0.40; P=3.2×10-3). The polygenic risk score comprising common variants previously associated with the QT-interval in the general population was greater in LQTS c

Published
2020

7. Author Correction: Genome-wide association analyses identify new Brugada syndrome risk loci and highlight a new mechanism of sodium channel regulation in disease susceptibility (Nature Genetics, (2022), 54, 3, (232-239), 10.1038/s41588-021-01007-6)

Author

Julien Barc, Barc, J, Tadros, R, Glinge, C, Chiang, D, Jouni, M, Simonet, F, Jurgens, S, Baudic, M, Nicastro, M, Potet, F, Offerhaus, J, Walsh, R, Hoan Choi, S, Verkerk, A, Mizusawa, Y, Anys, S, Minois, D, Arnaud, M, Duchateau, J, Wijeyeratne, Y, Muir, A, Papadakis, M, Castelletti, S, Torchio, M, Gil Ortuño, C, Lacunza, J, Giachino, D, Cerrato, N, Martins, R, Campuzano, O, Van Dooren, S, Thollet, A, Kyndt, F, Mazzanti, A, Clémenty, N, Bisson, A, Corveleyn, A, Stallmeyer, B, Dittmann, S, Saenen, J, Noël, A, Honarbakhsh, S, Rudic, B, Marzak, H, Rowe, M, Federspiel, C, Le Page, S, Placide, L, Milhem, A, Barajas-Martinez, H, Beckmann, B, Krapels, I, Steinfurt, J, Gregers Winkel, B, Jabbari, R, Shoemaker, M, Boukens, B, Škorić-Milosavljević, D, Bikker, H, Manevy, F, Lichtner, P, Ribasés, M, Meitinger, T, Müller-Nurasyid, M, Group, K, Veldink, J, van den Berg, L, Van Damme, P, Cusi, D, Lanzani, C, Rigade, S, Charpentier, E, Baron, E, Bonnaud, S, Lecointe, S, Donnart, A, Le Marec, H, Chatel, S, Karakachoff, M, Bézieau, S, London, B, Tfelt-Hansen, J, Roden, D, Odening, K, Cerrone, M, Chinitz, L, Volders, P, van de Berg, M, Laurent, G, Faivre, L, Antzelevitch, C, Kääb, S, Al Arnaout, A, Dupuis, J, Pasquie, J, Billon, O, Roberts, J, Jesel, L, Borggrefe, M, Lambiase, P, Mansourati, J, Loeys, B, Leenhardt, A, Guicheney, P, Maury, P, Schulze-Bahr, E, Robyns, T, Breckpot, J, Babuty, D, Priori, S, Napolitano, C, Referral Center for inherited cardiac arrhythmia, N, de Asmundis, C, Brugada, P, Brugada, R, Arbelo, E, Brugada, J, Mabo, P, Behar, N, Giustetto, C, Sabater Molina, M, Gimeno, J, Hasdemir, C, Schwartz, P, Crotti, L, Mckeown, P, Sharma, S, Behr, E, Haissaguerre, M, Sacher, F, Rooryck, C, Tan, H, Remme, C, Postema, P, Delmar, M, Ellinor, P, Lubitz, S, Gourraud, J, Tanck, M, L. George Jr., A, Macrae, C, Burridge, P, Dina, C, Probst, V, Wilde, A, Schott, J, Redon &amp, R, Bezzina, C, Julien Barc, Rafik Tadros, Charlotte Glinge, David Y. Chiang, Mariam Jouni, Floriane Simonet, Sean J. Jurgens, Manon Baudic, Michele Nicastro, Franck Potet, Joost A. Offerhaus, Roddy Walsh, Seung Hoan Choi, Arie O. Verkerk, Yuka Mizusawa, Soraya Anys, Damien Minois, Marine Arnaud, Josselin Duchateau, Yanushi D. Wijeyeratne, Alison Muir, Michael Papadakis, Silvia Castelletti, Margherita Torchio, Cristina Gil Ortuño, Javier Lacunza, Daniela F. Giachino, Natascia Cerrato, Raphaël P. Martins, Oscar Campuzano, Sonia Van Dooren, Aurélie Thollet, Florence Kyndt, Andrea Mazzanti, Nicolas Clémenty, Arnaud Bisson, Anniek Corveleyn, Birgit Stallmeyer, Sven Dittmann, Johan Saenen, Antoine Noël, Shohreh Honarbakhsh, Boris Rudic, Halim Marzak, Matthew K. Rowe, Claire Federspiel, Sophie Le Page, Leslie Placide, Antoine Milhem, Hector Barajas-Martinez, Britt-Maria Beckmann, Ingrid P. Krapels, Johannes Steinfurt, Bo Gregers Winkel, Reza Jabbari, Moore B. Shoemaker, Bas J. Boukens, Doris Škorić-Milosavljević, Hennie Bikker, Federico Manevy, Peter Lichtner, Marta Ribasés, Thomas Meitinger, Martina Müller-Nurasyid, KORA-Study Group, Jan H. Veldink, Leonard H. van den Berg, Philip Van Damme, Daniele Cusi, Chiara Lanzani, Sidwell Rigade, Eric Charpentier, Estelle Baron, Stéphanie Bonnaud, Simon Lecointe, Audrey Donnart, Hervé Le Marec, Stéphanie Chatel, Matilde Karakachoff, Stéphane Bézieau, Barry London, Jacob Tfelt-Hansen, Dan Roden, Katja E. Odening, Marina Cerrone, Larry A. Chinitz, Paul G. Volders, Maarten P. van de Berg, Gabriel Laurent, Laurence Faivre, Charles Antzelevitch, Stefan Kääb, Alain Al Arnaout, Jean-Marc Dupuis, Jean-Luc Pasquie, Olivier Billon, Jason D. Roberts, Laurence Jesel, Martin Borggrefe, Pier D. Lambiase, Jacques Mansourati, Bart Loeys, Antoine Leenhardt, Pascale Guicheney, Philippe Maury, Eric Schulze-Bahr, Tomas Robyns, Jeroen Breckpot, Dominique Babuty, Silvia G. Priori, Carlo Napolitano, Nantes Referral Center for inherited cardiac arrhythmia, Carlo de Asmundis, Pedro Brugada, Ramon Brugada, Elena Arbelo, Josep Brugada, Philippe Mabo, Nathalie Behar, Carla Giustetto, Maria Sabater Molina, Juan R. Gimeno, Can Hasdemir, Peter J. Schwartz, Lia Crotti, Pascal P. McKeown, Sanjay Sharma, Elijah R. Behr, Michel Haissaguerre, Frédéric Sacher, Caroline Rooryck, Hanno L. Tan, Carol A. Remme, Pieter G. Postema, Mario Delmar, Patrick T. Ellinor, Steven A. Lubitz, Jean-Baptiste Gourraud, Michael W. Tanck, Alfred L. George Jr., Calum A. MacRae, Paul W. Burridge, Christian Dina, Vincent Probst, Arthur A. Wilde, Jean-Jacques Schott, Richard Redon &, Connie R. Bezzina, Julien Barc, Barc, J, Tadros, R, Glinge, C, Chiang, D, Jouni, M, Simonet, F, Jurgens, S, Baudic, M, Nicastro, M, Potet, F, Offerhaus, J, Walsh, R, Hoan Choi, S, Verkerk, A, Mizusawa, Y, Anys, S, Minois, D, Arnaud, M, Duchateau, J, Wijeyeratne, Y, Muir, A, Papadakis, M, Castelletti, S, Torchio, M, Gil Ortuño, C, Lacunza, J, Giachino, D, Cerrato, N, Martins, R, Campuzano, O, Van Dooren, S, Thollet, A, Kyndt, F, Mazzanti, A, Clémenty, N, Bisson, A, Corveleyn, A, Stallmeyer, B, Dittmann, S, Saenen, J, Noël, A, Honarbakhsh, S, Rudic, B, Marzak, H, Rowe, M, Federspiel, C, Le Page, S, Placide, L, Milhem, A, Barajas-Martinez, H, Beckmann, B, Krapels, I, Steinfurt, J, Gregers Winkel, B, Jabbari, R, Shoemaker, M, Boukens, B, Škorić-Milosavljević, D, Bikker, H, Manevy, F, Lichtner, P, Ribasés, M, Meitinger, T, Müller-Nurasyid, M, Group, K, Veldink, J, van den Berg, L, Van Damme, P, Cusi, D, Lanzani, C, Rigade, S, Charpentier, E, Baron, E, Bonnaud, S, Lecointe, S, Donnart, A, Le Marec, H, Chatel, S, Karakachoff, M, Bézieau, S, London, B, Tfelt-Hansen, J, Roden, D, Odening, K, Cerrone, M, Chinitz, L, Volders, P, van de Berg, M, Laurent, G, Faivre, L, Antzelevitch, C, Kääb, S, Al Arnaout, A, Dupuis, J, Pasquie, J, Billon, O, Roberts, J, Jesel, L, Borggrefe, M, Lambiase, P, Mansourati, J, Loeys, B, Leenhardt, A, Guicheney, P, Maury, P, Schulze-Bahr, E, Robyns, T, Breckpot, J, Babuty, D, Priori, S, Napolitano, C, Referral Center for inherited cardiac arrhythmia, N, de Asmundis, C, Brugada, P, Brugada, R, Arbelo, E, Brugada, J, Mabo, P, Behar, N, Giustetto, C, Sabater Molina, M, Gimeno, J, Hasdemir, C, Schwartz, P, Crotti, L, Mckeown, P, Sharma, S, Behr, E, Haissaguerre, M, Sacher, F, Rooryck, C, Tan, H, Remme, C, Postema, P, Delmar, M, Ellinor, P, Lubitz, S, Gourraud, J, Tanck, M, L. George Jr., A, Macrae, C, Burridge, P, Dina, C, Probst, V, Wilde, A, Schott, J, Redon &amp, R, Bezzina, C, Julien Barc, Rafik Tadros, Charlotte Glinge, David Y. Chiang, Mariam Jouni, Floriane Simonet, Sean J. Jurgens, Manon Baudic, Michele Nicastro, Franck Potet, Joost A. Offerhaus, Roddy Walsh, Seung Hoan Choi, Arie O. Verkerk, Yuka Mizusawa, Soraya Anys, Damien Minois, Marine Arnaud, Josselin Duchateau, Yanushi D. Wijeyeratne, Alison Muir, Michael Papadakis, Silvia Castelletti, Margherita Torchio, Cristina Gil Ortuño, Javier Lacunza, Daniela F. Giachino, Natascia Cerrato, Raphaël P. Martins, Oscar Campuzano, Sonia Van Dooren, Aurélie Thollet, Florence Kyndt, Andrea Mazzanti, Nicolas Clémenty, Arnaud Bisson, Anniek Corveleyn, Birgit Stallmeyer, Sven Dittmann, Johan Saenen, Antoine Noël, Shohreh Honarbakhsh, Boris Rudic, Halim Marzak, Matthew K. Rowe, Claire Federspiel, Sophie Le Page, Leslie Placide, Antoine Milhem, Hector Barajas-Martinez, Britt-Maria Beckmann, Ingrid P. Krapels, Johannes Steinfurt, Bo Gregers Winkel, Reza Jabbari, Moore B. Shoemaker, Bas J. Boukens, Doris Škorić-Milosavljević, Hennie Bikker, Federico Manevy, Peter Lichtner, Marta Ribasés, Thomas Meitinger, Martina Müller-Nurasyid, KORA-Study Group, Jan H. Veldink, Leonard H. van den Berg, Philip Van Damme, Daniele Cusi, Chiara Lanzani, Sidwell Rigade, Eric Charpentier, Estelle Baron, Stéphanie Bonnaud, Simon Lecointe, Audrey Donnart, Hervé Le Marec, Stéphanie Chatel, Matilde Karakachoff, Stéphane Bézieau, Barry London, Jacob Tfelt-Hansen, Dan Roden, Katja E. Odening, Marina Cerrone, Larry A. Chinitz, Paul G. Volders, Maarten P. van de Berg, Gabriel Laurent, Laurence Faivre, Charles Antzelevitch, Stefan Kääb, Alain Al Arnaout, Jean-Marc Dupuis, Jean-Luc Pasquie, Olivier Billon, Jason D. Roberts, Laurence Jesel, Martin Borggrefe, Pier D. Lambiase, Jacques Mansourati, Bart Loeys, Antoine Leenhardt, Pascale Guicheney, Philippe Maury, Eric Schulze-Bahr, Tomas Robyns, Jeroen Breckpot, Dominique Babuty, Silvia G. Priori, Carlo Napolitano, Nantes Referral Center for inherited cardiac arrhythmia, Carlo de Asmundis, Pedro Brugada, Ramon Brugada, Elena Arbelo, Josep Brugada, Philippe Mabo, Nathalie Behar, Carla Giustetto, Maria Sabater Molina, Juan R. Gimeno, Can Hasdemir, Peter J. Schwartz, Lia Crotti, Pascal P. McKeown, Sanjay Sharma, Elijah R. Behr, Michel Haissaguerre, Frédéric Sacher, Caroline Rooryck, Hanno L. Tan, Carol A. Remme, Pieter G. Postema, Mario Delmar, Patrick T. Ellinor, Steven A. Lubitz, Jean-Baptiste Gourraud, Michael W. Tanck, Alfred L. George Jr., Calum A. MacRae, Paul W. Burridge, Christian Dina, Vincent Probst, Arthur A. Wilde, Jean-Jacques Schott, Richard Redon &, and Connie R. Bezzina

Abstract

In the version of this article initially published, Federico Manevy’s name appeared with a middle initial in error. The name has been corrected in the HTML and PDF versions of the article.

Published
2022

8. Genome-wide association analyses identify new Brugada syndrome risk loci and highlight a new mechanism of sodium channel regulation in disease susceptibility

Author

Barc, J, Tadros, R, Glinge, C, Chiang, D, Jouni, M, Simonet, F, Jurgens, S, Baudic, M, Nicastro, M, Potet, F, Offerhaus, J, Walsh, R, Hoan Choi, S, Verkerk, A, Mizusawa, Y, Anys, S, Minois, D, Arnaud, M, Duchateau, J, Wijeyeratne, Y, Muir, A, Papadakis, M, Castelletti, S, Torchio, M, Gil Ortuño, C, Lacunza, J, Giachino, D, Cerrato, N, Martins, R, Campuzano, O, Van Dooren, S, Thollet, A, Kyndt, F, Mazzanti, A, Clémenty, N, Bisson, A, Corveleyn, A, Stallmeyer, B, Dittmann, S, Saenen, J, Noël, A, Honarbakhsh, S, Rudic, B, Marzak, H, Rowe, M, Federspiel, C, Le Page, S, Placide, L, Milhem, A, Barajas-Martinez, H, Beckmann, B, Krapels, I, Steinfurt, J, Gregers Winkel, B, Jabbari, R, Shoemaker, M, Boukens, B, Škorić-Milosavljević, D, Bikker, H, Manevy, F, Lichtner, P, Ribasés, M, Meitinger, T, Müller-Nurasyid, M, Group, K, Veldink, J, van den Berg, L, Van Damme, P, Cusi, D, Lanzani, C, Rigade, S, Charpentier, E, Baron, E, Bonnaud, S, Lecointe, S, Donnart, A, Le Marec, H, Chatel, S, Karakachoff, M, Bézieau, S, London, B, Tfelt-Hansen, J, Roden, D, Odening, K, Cerrone, M, Chinitz, L, Volders, P, van de Berg, M, Laurent, G, Faivre, L, Antzelevitch, C, Kääb, S, Al Arnaout, A, Dupuis, J, Pasquie, J, Billon, O, Roberts, J, Jesel, L, Borggrefe, M, Lambiase, P, Mansourati, J, Loeys, B, Leenhardt, A, Guicheney, P, Maury, P, Schulze-Bahr, E, Robyns, T, Breckpot, J, Babuty, D, Priori, S, Napolitano, C, Referral Center for inherited cardiac arrhythmia, N, de Asmundis, C, Brugada, P, Brugada, R, Arbelo, E, Brugada, J, Mabo, P, Behar, N, Giustetto, C, Sabater Molina, M, Gimeno, J, Hasdemir, C, Schwartz, P, Crotti, L, Mckeown, P, Sharma, S, Behr, E, Haissaguerre, M, Sacher, F, Rooryck, C, Tan, H, Remme, C, Postema, P, Delmar, M, Ellinor, P, Lubitz, S, Gourraud, J, Tanck, M, L. George Jr., A, Macrae, C, Burridge, P, Dina, C, Probst, V, Wilde, A, Schott, J, Redon &amp, R, Bezzina, C, Julien Barc, Rafik Tadros, Charlotte Glinge, David Y. Chiang, Mariam Jouni, Floriane Simonet, Sean J. Jurgens, Manon Baudic, Michele Nicastro, Franck Potet, Joost A. Offerhaus, Roddy Walsh, Seung Hoan Choi, Arie O. Verkerk, Yuka Mizusawa, Soraya Anys, Damien Minois, Marine Arnaud, Josselin Duchateau, Yanushi D. Wijeyeratne, Alison Muir, Michael Papadakis, Silvia Castelletti, Margherita Torchio, Cristina Gil Ortuño, Javier Lacunza, Daniela F. Giachino, Natascia Cerrato, Raphaël P. Martins, Oscar Campuzano, Sonia Van Dooren, Aurélie Thollet, Florence Kyndt, Andrea Mazzanti, Nicolas Clémenty, Arnaud Bisson, Anniek Corveleyn, Birgit Stallmeyer, Sven Dittmann, Johan Saenen, Antoine Noël, Shohreh Honarbakhsh, Boris Rudic, Halim Marzak, Matthew K. Rowe, Claire Federspiel, Sophie Le Page, Leslie Placide, Antoine Milhem, Hector Barajas-Martinez, Britt-Maria Beckmann, Ingrid P. Krapels, Johannes Steinfurt, Bo Gregers Winkel, Reza Jabbari, Moore B. Shoemaker, Bas J. Boukens, Doris Škorić-Milosavljević, Hennie Bikker, Federico Manevy, Peter Lichtner, Marta Ribasés, Thomas Meitinger, Martina Müller-Nurasyid, KORA-Study Group, Jan H. Veldink, Leonard H. van den Berg, Philip Van Damme, Daniele Cusi, Chiara Lanzani, Sidwell Rigade, Eric Charpentier, Estelle Baron, Stéphanie Bonnaud, Simon Lecointe, Audrey Donnart, Hervé Le Marec, Stéphanie Chatel, Matilde Karakachoff, Stéphane Bézieau, Barry London, Jacob Tfelt-Hansen, Dan Roden, Katja E. Odening, Marina Cerrone, Larry A. Chinitz, Paul G. Volders, Maarten P. van de Berg, Gabriel Laurent, Laurence Faivre, Charles Antzelevitch, Stefan Kääb, Alain Al Arnaout, Jean-Marc Dupuis, Jean-Luc Pasquie, Olivier Billon, Jason D. Roberts, Laurence Jesel, Martin Borggrefe, Pier D. Lambiase, Jacques Mansourati, Bart Loeys, Antoine Leenhardt, Pascale Guicheney, Philippe Maury, Eric Schulze-Bahr, Tomas Robyns, Jeroen Breckpot, Dominique Babuty, Silvia G. Priori, Carlo Napolitano, Nantes Referral Center for inherited cardiac arrhythmia, Carlo de Asmundis, Pedro Brugada, Ramon Brugada, Elena Arbelo, Josep Brugada, Philippe Mabo, Nathalie Behar, Carla Giustetto, Maria Sabater Molina, Juan R. Gimeno, Can Hasdemir, Peter J. Schwartz, Lia Crotti, Pascal P. McKeown, Sanjay Sharma, Elijah R. Behr, Michel Haissaguerre, Frédéric Sacher, Caroline Rooryck, Hanno L. Tan, Carol A. Remme, Pieter G. Postema, Mario Delmar, Patrick T. Ellinor, Steven A. Lubitz, Jean-Baptiste Gourraud, Michael W. Tanck, Alfred L. George Jr., Calum A. MacRae, Paul W. Burridge, Christian Dina, Vincent Probst, Arthur A. Wilde, Jean-Jacques Schott, Richard Redon &, Connie R. Bezzina, Barc, J, Tadros, R, Glinge, C, Chiang, D, Jouni, M, Simonet, F, Jurgens, S, Baudic, M, Nicastro, M, Potet, F, Offerhaus, J, Walsh, R, Hoan Choi, S, Verkerk, A, Mizusawa, Y, Anys, S, Minois, D, Arnaud, M, Duchateau, J, Wijeyeratne, Y, Muir, A, Papadakis, M, Castelletti, S, Torchio, M, Gil Ortuño, C, Lacunza, J, Giachino, D, Cerrato, N, Martins, R, Campuzano, O, Van Dooren, S, Thollet, A, Kyndt, F, Mazzanti, A, Clémenty, N, Bisson, A, Corveleyn, A, Stallmeyer, B, Dittmann, S, Saenen, J, Noël, A, Honarbakhsh, S, Rudic, B, Marzak, H, Rowe, M, Federspiel, C, Le Page, S, Placide, L, Milhem, A, Barajas-Martinez, H, Beckmann, B, Krapels, I, Steinfurt, J, Gregers Winkel, B, Jabbari, R, Shoemaker, M, Boukens, B, Škorić-Milosavljević, D, Bikker, H, Manevy, F, Lichtner, P, Ribasés, M, Meitinger, T, Müller-Nurasyid, M, Group, K, Veldink, J, van den Berg, L, Van Damme, P, Cusi, D, Lanzani, C, Rigade, S, Charpentier, E, Baron, E, Bonnaud, S, Lecointe, S, Donnart, A, Le Marec, H, Chatel, S, Karakachoff, M, Bézieau, S, London, B, Tfelt-Hansen, J, Roden, D, Odening, K, Cerrone, M, Chinitz, L, Volders, P, van de Berg, M, Laurent, G, Faivre, L, Antzelevitch, C, Kääb, S, Al Arnaout, A, Dupuis, J, Pasquie, J, Billon, O, Roberts, J, Jesel, L, Borggrefe, M, Lambiase, P, Mansourati, J, Loeys, B, Leenhardt, A, Guicheney, P, Maury, P, Schulze-Bahr, E, Robyns, T, Breckpot, J, Babuty, D, Priori, S, Napolitano, C, Referral Center for inherited cardiac arrhythmia, N, de Asmundis, C, Brugada, P, Brugada, R, Arbelo, E, Brugada, J, Mabo, P, Behar, N, Giustetto, C, Sabater Molina, M, Gimeno, J, Hasdemir, C, Schwartz, P, Crotti, L, Mckeown, P, Sharma, S, Behr, E, Haissaguerre, M, Sacher, F, Rooryck, C, Tan, H, Remme, C, Postema, P, Delmar, M, Ellinor, P, Lubitz, S, Gourraud, J, Tanck, M, L. George Jr., A, Macrae, C, Burridge, P, Dina, C, Probst, V, Wilde, A, Schott, J, Redon &amp, R, Bezzina, C, Julien Barc, Rafik Tadros, Charlotte Glinge, David Y. Chiang, Mariam Jouni, Floriane Simonet, Sean J. Jurgens, Manon Baudic, Michele Nicastro, Franck Potet, Joost A. Offerhaus, Roddy Walsh, Seung Hoan Choi, Arie O. Verkerk, Yuka Mizusawa, Soraya Anys, Damien Minois, Marine Arnaud, Josselin Duchateau, Yanushi D. Wijeyeratne, Alison Muir, Michael Papadakis, Silvia Castelletti, Margherita Torchio, Cristina Gil Ortuño, Javier Lacunza, Daniela F. Giachino, Natascia Cerrato, Raphaël P. Martins, Oscar Campuzano, Sonia Van Dooren, Aurélie Thollet, Florence Kyndt, Andrea Mazzanti, Nicolas Clémenty, Arnaud Bisson, Anniek Corveleyn, Birgit Stallmeyer, Sven Dittmann, Johan Saenen, Antoine Noël, Shohreh Honarbakhsh, Boris Rudic, Halim Marzak, Matthew K. Rowe, Claire Federspiel, Sophie Le Page, Leslie Placide, Antoine Milhem, Hector Barajas-Martinez, Britt-Maria Beckmann, Ingrid P. Krapels, Johannes Steinfurt, Bo Gregers Winkel, Reza Jabbari, Moore B. Shoemaker, Bas J. Boukens, Doris Škorić-Milosavljević, Hennie Bikker, Federico Manevy, Peter Lichtner, Marta Ribasés, Thomas Meitinger, Martina Müller-Nurasyid, KORA-Study Group, Jan H. Veldink, Leonard H. van den Berg, Philip Van Damme, Daniele Cusi, Chiara Lanzani, Sidwell Rigade, Eric Charpentier, Estelle Baron, Stéphanie Bonnaud, Simon Lecointe, Audrey Donnart, Hervé Le Marec, Stéphanie Chatel, Matilde Karakachoff, Stéphane Bézieau, Barry London, Jacob Tfelt-Hansen, Dan Roden, Katja E. Odening, Marina Cerrone, Larry A. Chinitz, Paul G. Volders, Maarten P. van de Berg, Gabriel Laurent, Laurence Faivre, Charles Antzelevitch, Stefan Kääb, Alain Al Arnaout, Jean-Marc Dupuis, Jean-Luc Pasquie, Olivier Billon, Jason D. Roberts, Laurence Jesel, Martin Borggrefe, Pier D. Lambiase, Jacques Mansourati, Bart Loeys, Antoine Leenhardt, Pascale Guicheney, Philippe Maury, Eric Schulze-Bahr, Tomas Robyns, Jeroen Breckpot, Dominique Babuty, Silvia G. Priori, Carlo Napolitano, Nantes Referral Center for inherited cardiac arrhythmia, Carlo de Asmundis, Pedro Brugada, Ramon Brugada, Elena Arbelo, Josep Brugada, Philippe Mabo, Nathalie Behar, Carla Giustetto, Maria Sabater Molina, Juan R. Gimeno, Can Hasdemir, Peter J. Schwartz, Lia Crotti, Pascal P. McKeown, Sanjay Sharma, Elijah R. Behr, Michel Haissaguerre, Frédéric Sacher, Caroline Rooryck, Hanno L. Tan, Carol A. Remme, Pieter G. Postema, Mario Delmar, Patrick T. Ellinor, Steven A. Lubitz, Jean-Baptiste Gourraud, Michael W. Tanck, Alfred L. George Jr., Calum A. MacRae, Paul W. Burridge, Christian Dina, Vincent Probst, Arthur A. Wilde, Jean-Jacques Schott, Richard Redon &, and Connie R. Bezzina

Abstract

Brugada syndrome (BrS) is a cardiac arrhythmia disorder associated with sudden death in young adults. With the exception of SCN5A, encoding the cardiac sodium channel NaV1.5, susceptibility genes remain largely unknown. Here we performed a genome-wide association meta-analysis comprising 2,820 unrelated cases with BrS and 10,001 controls, and identified 21 association signals at 12 loci (10 new). Single nucleotide polymorphism (SNP)-heritability estimates indicate a strong polygenic influence. Polygenic risk score analyses based on the 21 susceptibility variants demonstrate varying cumulative contribution of common risk alleles among different patient subgroups, as well as genetic associations with cardiac electrical traits and disorders in the general population. The predominance of cardiac transcription factor loci indicates that transcriptional regulation is a key feature of BrS pathogenesis. Furthermore, functional studies conducted on MAPRE2, encoding the microtubule plus-end binding protein EB2, point to microtubule-related trafficking effects on NaV1.5 expression as a new underlying molecular mechanism. Taken together, these findings broaden our understanding of the genetic architecture of BrS and provide new insights into its molecular underpinnings.

Published
2022

10. Scar related border zone channels assessed with cardiac MRI are associated with ventricular arrhythmia in patients with ST-segment elevation myocardial infarction

Author

Thomsen, AF, primary, Bertelsen, L, additional, Jons, C, additional, Jabbari, R, additional, Lonborg, JT, additional, Ekstrom, K, additional, Tilsted, HH, additional, Pedersen, F, additional, Kober, L, additional, Engstrom, T, additional, Vejlstrup, N, additional, and Jacobsen, PK, additional

Published
2022
Full Text
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12. Untargeted toxicology in sudden cardiac arrest victims

Author

Stampe, NK, primary, Glinge, C, additional, Rasmussen, BS, additional, Bhardwaj, P, additional, Linnet, K, additional, Jabbari, R, additional, Hassager, C, additional, Kjaergaard, J, additional, Tfelt-Hansen, J, additional, and Winkel, BG, additional

Published
2022
Full Text
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14. Harmonization of the Definition of Sudden Cardiac Death in Longitudinal Cohorts of the ESCAPE-NET Consortium

Author

Warming, PE, Agesen,FN, Lynge, TH, Jabbari, R, Smits, RLA, Valkengoed, IGM, Welten, SJGC, van der Heijden, AA, Elders, PJ, Blom, MT, Jouven, X, Schwartz, P, Albert, CM, Beulens, JW, Rutters, F, Tan, HL, Empana, JP, and Tfelt-Hansen, J

Abstract

Background The burden of sudden cardiac death (SCD) in the general population is substantial and SCD frequently occurs among people with few or no known risk factors for cardiac disease. Reported incidences of SCD vary due to differences in definitions and methodology between cohorts. This study aimed to develop a method for adjudicating SCD cases in research settings and to describe uniform case definitions of SCD in an international consortium harmonizing multiple longitudinal study cohorts. Methods The harmonized SCD definitions include both case definitions using data from multiple sources (e.g. autopsy reports, medical history, eyewitnesses) as well as a method using only information from registers (e.g. cause of death registers, ICD-10 codes). Validation of the register-based method was done within the consortium using the multiple sources definition as gold standard and presenting sensitivity, specificity, accuracy and positive predictive value (PPV). Results Consensus definitions of 'definite', 'possible' and 'probable' SCD for longitudinal study cohorts were reached. The definitions are based on a stratified approach to reflect the level of certainty of diagnosis and degree of information. The definitions can be applied to both multisource and register-based methods. Validation of the method using register-information in a cohort comprising 1335 cases yielded a sensitivity of 74%, specificity of 88%, accuracy of 86%, and PPV of 54%. Conclusions This study demonstrated that a harmonization of SCD classification across different methodological approaches is feasible. The developed classification can be used to study SCD in longitudinal cohorts and to merge cohorts with different levels of information.

Published
2021

16. Transethnic Genome-Wide Association Study Provides Insights in the Genetic Architecture and Heritability of Long QT Syndrome .

Author

Lahrouchi, N., Tadros, R., Crotti, L., Mizusawa, Y., Postema, P.G., Beekman, L., Walsh, R., Hasegawa, K., Barc, J., Ernsting, M., Turkowski, K.L., Mazzanti, A., Beckmann, B.M., Shimamoto, K., Diamant, U.B., Wijeyeratne, Y.D., Kucho, Y., Robyns, T., Ishikawa, T., Arbelo, E., Christiansen, M., Winbo, A., Jabbari, R., Lubitz, S.A., Steinfurt, J., Rudic, B., Loeys, B., Shoemaker, M.B., Weeke, P.E., Pfeiffer, R., Davies, B., Andorin, A., Hofman, N., Dagradi, F., Pedrazzini, M., Tester, D.J., Bos, J.M, Sarquella-Brugada, G., Campuzano, Ó., Platonov, P.G., Stallmeyer, B., Zumhagen, S., Nannenberg, E.A., Veldink, J.H., Berg, L.H. van den, Al-Chalabi, A., Shaw, C.E., Shaw, P.J., Morrison, K.E., Andersen, P.M., Müller-Nurasyid, M., Cusi, D., Barlassina, C., Galan, P., Lathrop, M., Munter, M., Werge, T., Ribasés, M., Aung, T., Khor, C.C., Ozaki, M., Lichtner, P., Meitinger, T., Tintelen, J.P. van, Hoedemaekers, Y.M., Denjoy, I., Leenhardt, A., Napolitano, C., Shimizu, W., Schott, J.J., Gourraud, J.B., Makiyama, T., Ohno, S., Itoh, H., Krahn, A.D., Antzelevitch, C., Roden, D.M., Saenen, J., Borggrefe, M., Odening, K.E., Ellinor, P.T., Tfelt-Hansen, J., Skinner, J.R., Berg, M.P., Olesen, M.S., Brugada, J., Brugada, R., Makita, N., Breckpot, J., Yoshinaga, M., Behr, E.R., Rydberg, A., Aiba, T., Kääb, S., Priori, S.G., Guicheney, P., Tan, H.L., Newton-Cheh, C., Ackerman, M.J., Schwartz, P.J., Lahrouchi, N., Tadros, R., Crotti, L., Mizusawa, Y., Postema, P.G., Beekman, L., Walsh, R., Hasegawa, K., Barc, J., Ernsting, M., Turkowski, K.L., Mazzanti, A., Beckmann, B.M., Shimamoto, K., Diamant, U.B., Wijeyeratne, Y.D., Kucho, Y., Robyns, T., Ishikawa, T., Arbelo, E., Christiansen, M., Winbo, A., Jabbari, R., Lubitz, S.A., Steinfurt, J., Rudic, B., Loeys, B., Shoemaker, M.B., Weeke, P.E., Pfeiffer, R., Davies, B., Andorin, A., Hofman, N., Dagradi, F., Pedrazzini, M., Tester, D.J., Bos, J.M, Sarquella-Brugada, G., Campuzano, Ó., Platonov, P.G., Stallmeyer, B., Zumhagen, S., Nannenberg, E.A., Veldink, J.H., Berg, L.H. van den, Al-Chalabi, A., Shaw, C.E., Shaw, P.J., Morrison, K.E., Andersen, P.M., Müller-Nurasyid, M., Cusi, D., Barlassina, C., Galan, P., Lathrop, M., Munter, M., Werge, T., Ribasés, M., Aung, T., Khor, C.C., Ozaki, M., Lichtner, P., Meitinger, T., Tintelen, J.P. van, Hoedemaekers, Y.M., Denjoy, I., Leenhardt, A., Napolitano, C., Shimizu, W., Schott, J.J., Gourraud, J.B., Makiyama, T., Ohno, S., Itoh, H., Krahn, A.D., Antzelevitch, C., Roden, D.M., Saenen, J., Borggrefe, M., Odening, K.E., Ellinor, P.T., Tfelt-Hansen, J., Skinner, J.R., Berg, M.P., Olesen, M.S., Brugada, J., Brugada, R., Makita, N., Breckpot, J., Yoshinaga, M., Behr, E.R., Rydberg, A., Aiba, T., Kääb, S., Priori, S.G., Guicheney, P., Tan, H.L., Newton-Cheh, C., Ackerman, M.J., and Schwartz, P.J.

Abstract

Contains fulltext : 230155.pdf (Publisher’s version ) (Open Access)

Published
2020

19. Subsequent Event Risk in Individuals With Established Coronary Heart Disease

Author

Patel, R.S. (Riyaz), Tragante, V. (Vinicius), Schmidt, A.F. (Amand), McCubrey, R.O. (Raymond O.), Holmes, M.V. (Michael), Howe, L.J. (Laurence J.), Direk, K. (Kenan), Åkerblom, A. (Axel), Leander, K. (Karin), Virani, S.S. (Salim), Kaminski, K.A. (Karol A.), Muehlschlegel, J.D. (Jochen), Allayee, H. (Hooman), Almgren, P. (Peter), Alver, M. (Maris), Baranova, E.V. (Ekaterina V.), Behloui, H. (Hassan), Boeckx, B. (Bram), Braund, P.S. (Peter), Breitling, L.P. (Lutz), Delgado, G., Duarte, N.E. (Nubia E.), Dubé, G.P. (Gregory), Dufresne, L. (Line), Eriksson, N. (Niclas), Foco, L. (Luisa), Scholz, M. (Markus), Gijsberts, C.M. (Crystel M.), Glinge, C. (Charlotte), Gong, Y. (Yan), Hartiala, J. (Jaana), Heydarpour, M. (Mahyar), Hubacek, J.A. (Jaroslav A.), Kleber, M.E. (Marcus), Kofink, D. (Daniel), Kotti, S. (Salma), Kuukasjärvi, P. (Pekka), Lee, V.-V. (Vei-Vei), Leiherer, A. (Andreas), Lenzini, P.A. (Petra A.), Levin, D. (Daniel), Lyytikäinen, L.-P. (Leo-Pekka), Martinelli, N. (Nicola), Mons, U. (Ute), Nelson, C.P. (Christopher P.), Nikus, K. (Kjell), Pilbrow, A.P. (Anna P.), Ploski, R. (Rafal), Sun, Y.V. (Yan V.), Tanck, M.W.T. (Michael), Tang, W. (W.), Trompet, S. (Stella), van der Laan, S.W. (Sander W.), Setten, J. (Jessica) van, Vilmundarson, R.O. (Ragnar O.), Viviani Anselmi, C. (Chiara), Vlachopoulou, E. (Efthymia), Al Ali, L. (Lawien), Boerwinkle, E.A. (Eric), Briguori, C. (Carlo), Carlquist, J.F. (John), Carruthers, K.F. (Kathryn), Casu, G. (Gavino), Deanfield, J. (John), Deloukas, P. (Panos), Dudbridge, F. (Frank), Engstrøm, T. (Thomas), Fitzpatrick, N. (Natalie), Fox, K.M. (Kim), Gigante, B. (Bruna), James, S.K. (Stefan), Lokki, M.-L. (Marja-Liisa), Lotufo, P.A. (Paulo A.), Marziliano, N. (Nicola), Mordi, I.R. (Ify R.), Muhlestein, J.B. (Joseph), Newton-Cheh, C. (Christopher), Pitha, J. (Jan), Saely, C.H. (Christoph H.), Samman-Tahhan, A. (Ayman), Sandesara, P.B. (Pratik B.), Teren, A. (Andrej), Timmis, A. (Adam), Van de Werf, F. (Frans), Wilde, A.A.M. (Arthur), Ford, I. (Ian), Stott, D.J. (David. J.), Algra, A. (Ale), Andreassi, M.G. (Maria G.), Ardissino, D. (Diego), Arsenault, B.J. (Benoit J.), Ballantyne, C. (Christie), Bergmeijer, T.O. (Thomas O.), Bezzina, C.R. (Connie R.), Body, S.C. (Simon C.), Boersma, E.H. (Eric H.), Bogaty, P. (Peter), Bots, M.L. (Michiel), Brenner, H. (Hermann), Brugts, J.J. (Jasper), Burkhardt, R. (Ralph), Carpeggiani, C. (Clara), Condorelli, G. (Gianluigi), Cooper-Dehoff, R.M. (Rhonda), Cresci, S. (Sharon), Danchin, N. (Nicolas), Faire, U. (Ulf) de, Doughty, R.N. (Robert N.), Drexel, H. (Heinz), Engert, J.C. (James C.), Fox, K.A.A. (Keith), Girelli, D. (Domenico), Grobbee, D.E. (Diederick E.), Hagström, E. (Emil), Hazen, S.L. (Stanley), Held, C. (Claes), Hemingway, H., Hoefer, I.E. (Imo), Hovingh, G.K. (G Kees), Jabbari, R. (Reza), Johnson, J.A. (Jennifer ), Jukema, J.W. (Jan Wouter), Kaczor, M.P. (Marcin P.), Kähönen, M. (Mika), Kettner, J. (Jiri), Kiliszek, M. (Marek), Klungel, O.H. (Olaf), Lagerqvist, B. (Bo), Lambrechts, D. (Diether), Laurikka, J.O. (Jari O.), Lehtimäki, T. (Terho), Lindholm, D. (Daniel), Mahmoodi, B.K. (Bakhtawar K.), Maitland-van der Zee, A-H. (Anke-Hilse), McPherson, R. (Ruth), Melander, O. (Olle), Metspalu, A. (Andres), Niemcunowicz-Janica, A. (Anna), Olivieri, O. (Oliviero), Opolski, G. (Grzegorz), Palmer, C.N.A. (Colin), Pasterkamp, G. (Gerard), Pepine, C.J. (Carl), Pereira, A. (A.), Pilote, L. (Louise), Erdmann, J. (Jeanette), Richards, A.M. (A Mark), Sanak, M. (Marek), Siegbahn, A. (Agneta), Simon, T. (Tabassome), Sinisalo, J. (Juha), Smith, J.G. (J Gustav), Schwartz, S.M. (Stephen), Stender, S. (Steen), Stewart, A.F. (Alexandre F.), Szczeklik, W. (Wojciech), Szpakowicz, A. (Anna), Tardif, J.-C. (Jean-Claude), Berg, J.M. (Jurrien) ten, Tfelt-Hansen, J. (Jacob), Thanassoulis, G. (George), Thiery, J.P. (Joachim), Torp-Pedersen, C. (Christian Tobias), Graaf, Y. (Yolanda) van der, Visseren, F.L.J. (Frank), Waltenberger, J. (Johannes), Weeke, P.E. (Peter E.), Harst, P. (Pim) van der, Lang, C.C. (Chim C.), Sattar, N. (Naveed), Cameron, V.A. (Vicky A.), Anderson, J.L. (Jeffrey), Brophy, J.M. (James M.), Pare, G. (Guillame), Horne, B.D. (Benjamin), Ye, S. (Shu), Wallentin, L. (Lars), Wauters, E. (Els), Samani, N.J. (Nilesh), Hingorani, A. (Aroon), Asselbergs, F.W. (Folkert), Patel, R.S. (Riyaz), Tragante, V. (Vinicius), Schmidt, A.F. (Amand), McCubrey, R.O. (Raymond O.), Holmes, M.V. (Michael), Howe, L.J. (Laurence J.), Direk, K. (Kenan), Åkerblom, A. (Axel), Leander, K. (Karin), Virani, S.S. (Salim), Kaminski, K.A. (Karol A.), Muehlschlegel, J.D. (Jochen), Allayee, H. (Hooman), Almgren, P. (Peter), Alver, M. (Maris), Baranova, E.V. (Ekaterina V.), Behloui, H. (Hassan), Boeckx, B. (Bram), Braund, P.S. (Peter), Breitling, L.P. (Lutz), Delgado, G., Duarte, N.E. (Nubia E.), Dubé, G.P. (Gregory), Dufresne, L. (Line), Eriksson, N. (Niclas), Foco, L. (Luisa), Scholz, M. (Markus), Gijsberts, C.M. (Crystel M.), Glinge, C. (Charlotte), Gong, Y. (Yan), Hartiala, J. (Jaana), Heydarpour, M. (Mahyar), Hubacek, J.A. (Jaroslav A.), Kleber, M.E. (Marcus), Kofink, D. (Daniel), Kotti, S. (Salma), Kuukasjärvi, P. (Pekka), Lee, V.-V. (Vei-Vei), Leiherer, A. (Andreas), Lenzini, P.A. (Petra A.), Levin, D. (Daniel), Lyytikäinen, L.-P. (Leo-Pekka), Martinelli, N. (Nicola), Mons, U. (Ute), Nelson, C.P. (Christopher P.), Nikus, K. (Kjell), Pilbrow, A.P. (Anna P.), Ploski, R. (Rafal), Sun, Y.V. (Yan V.), Tanck, M.W.T. (Michael), Tang, W. (W.), Trompet, S. (Stella), van der Laan, S.W. (Sander W.), Setten, J. (Jessica) van, Vilmundarson, R.O. (Ragnar O.), Viviani Anselmi, C. (Chiara), Vlachopoulou, E. (Efthymia), Al Ali, L. (Lawien), Boerwinkle, E.A. (Eric), Briguori, C. (Carlo), Carlquist, J.F. (John), Carruthers, K.F. (Kathryn), Casu, G. (Gavino), Deanfield, J. (John), Deloukas, P. (Panos), Dudbridge, F. (Frank), Engstrøm, T. (Thomas), Fitzpatrick, N. (Natalie), Fox, K.M. (Kim), Gigante, B. (Bruna), James, S.K. (Stefan), Lokki, M.-L. (Marja-Liisa), Lotufo, P.A. (Paulo A.), Marziliano, N. (Nicola), Mordi, I.R. (Ify R.), Muhlestein, J.B. (Joseph), Newton-Cheh, C. (Christopher), Pitha, J. (Jan), Saely, C.H. (Christoph H.), Samman-Tahhan, A. (Ayman), Sandesara, P.B. (Pratik B.), Teren, A. (Andrej), Timmis, A. (Adam), Van de Werf, F. (Frans), Wilde, A.A.M. (Arthur), Ford, I. (Ian), Stott, D.J. (David. J.), Algra, A. (Ale), Andreassi, M.G. (Maria G.), Ardissino, D. (Diego), Arsenault, B.J. (Benoit J.), Ballantyne, C. (Christie), Bergmeijer, T.O. (Thomas O.), Bezzina, C.R. (Connie R.), Body, S.C. (Simon C.), Boersma, E.H. (Eric H.), Bogaty, P. (Peter), Bots, M.L. (Michiel), Brenner, H. (Hermann), Brugts, J.J. (Jasper), Burkhardt, R. (Ralph), Carpeggiani, C. (Clara), Condorelli, G. (Gianluigi), Cooper-Dehoff, R.M. (Rhonda), Cresci, S. (Sharon), Danchin, N. (Nicolas), Faire, U. (Ulf) de, Doughty, R.N. (Robert N.), Drexel, H. (Heinz), Engert, J.C. (James C.), Fox, K.A.A. (Keith), Girelli, D. (Domenico), Grobbee, D.E. (Diederick E.), Hagström, E. (Emil), Hazen, S.L. (Stanley), Held, C. (Claes), Hemingway, H., Hoefer, I.E. (Imo), Hovingh, G.K. (G Kees), Jabbari, R. (Reza), Johnson, J.A. (Jennifer ), Jukema, J.W. (Jan Wouter), Kaczor, M.P. (Marcin P.), Kähönen, M. (Mika), Kettner, J. (Jiri), Kiliszek, M. (Marek), Klungel, O.H. (Olaf), Lagerqvist, B. (Bo), Lambrechts, D. (Diether), Laurikka, J.O. (Jari O.), Lehtimäki, T. (Terho), Lindholm, D. (Daniel), Mahmoodi, B.K. (Bakhtawar K.), Maitland-van der Zee, A-H. (Anke-Hilse), McPherson, R. (Ruth), Melander, O. (Olle), Metspalu, A. (Andres), Niemcunowicz-Janica, A. (Anna), Olivieri, O. (Oliviero), Opolski, G. (Grzegorz), Palmer, C.N.A. (Colin), Pasterkamp, G. (Gerard), Pepine, C.J. (Carl), Pereira, A. (A.), Pilote, L. (Louise), Erdmann, J. (Jeanette), Richards, A.M. (A Mark), Sanak, M. (Marek), Siegbahn, A. (Agneta), Simon, T. (Tabassome), Sinisalo, J. (Juha), Smith, J.G. (J Gustav), Schwartz, S.M. (Stephen), Stender, S. (Steen), Stewart, A.F. (Alexandre F.), Szczeklik, W. (Wojciech), Szpakowicz, A. (Anna), Tardif, J.-C. (Jean-Claude), Berg, J.M. (Jurrien) ten, Tfelt-Hansen, J. (Jacob), Thanassoulis, G. (George), Thiery, J.P. (Joachim), Torp-Pedersen, C. (Christian Tobias), Graaf, Y. (Yolanda) van der, Visseren, F.L.J. (Frank), Waltenberger, J. (Johannes), Weeke, P.E. (Peter E.), Harst, P. (Pim) van der, Lang, C.C. (Chim C.), Sattar, N. (Naveed), Cameron, V.A. (Vicky A.), Anderson, J.L. (Jeffrey), Brophy, J.M. (James M.), Pare, G. (Guillame), Horne, B.D. (Benjamin), Ye, S. (Shu), Wallentin, L. (Lars), Wauters, E. (Els), Samani, N.J. (Nilesh), Hingorani, A. (Aroon), and Asselbergs, F.W. (Folkert)

Abstract

BACKGROUND: The Genetics of Subsequent Coronary Heart Disease (GENIUS-CHD) consortium was established to facilitate discovery and validation of genetic variants a

Published
2019
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22. The pathogenicity of genetic variants previously associated with left ventricular non-compaction

Author

Abbasi, Y, Jabbari, J, Jabbari, R, Yang, RQ, Risgaard, Bjarke, Køber, L, Haunsø, S, Tfelt-Hansen, J, Abbasi, Y, Jabbari, J, Jabbari, R, Yang, RQ, Risgaard, Bjarke, Køber, L, Haunsø, S, and Tfelt-Hansen, J

Abstract

BACKGROUND: Left ventricular non-compaction (LVNC) is a rare cardiomyopathy. Many genetic variants have been associated with LVNC. However, the number of the previous LVNC-associated variants that are common in the background population remains unknown. The aim of this study was to provide an updated list of previously reported LVNC-associated variants with biologic description and investigate the prevalence of LVNC variants in healthy general population to find false-positive LVNC-associated variants.METHODS AND RESULTS: The Human Gene Mutation Database and PubMed were systematically searched to identify all previously reported LVNC-associated variants. Thereafter, the Exome Sequencing Project (ESP) and the Exome Aggregation Consortium (ExAC), that both represent the background population, was searched for all variants. Four in silico prediction tools were assessed to determine the functional effects of these variants. The prediction results of those identified in the ESP and ExAC and those not identified in the ESP and ExAC were compared. In 12 genes, 60 LVNC-associated missense/nonsense variants were identified. MYH7 was the predominant gene, encompassing 24 of the 60 LVNC-associated variants. The ESP only harbored nine and ExAC harbored 18 of the 60 LVNC-associated variants. In total, eight out of nine ESP-positive variants overlapped with the 18 variants identified in ExAC database.CONCLUSIONS: In this article, we identified 9 ESP-positive and 18 ExAC-positive variants of 60 previously reported LVNC-associated variants, suggesting that these variants are not necessarily the monogenic cause of LVNC.

Published
2016

30. Genome-wide association analyses identify novel Brugada syndrome risk loci and highlight a new mechanism of sodium channel regulation in disease susceptibility

Author

Barc, Julien, Tadros, Rafik, Glinge, Charlotte, Chiang, David Y., Jouni, Mariam, Simonet, Floriane, Jurgens, Sean J., Baudic, Manon, Nicastro, Michele, Potet, Franck, Offerhaus, Joost A., Walsh, Roddy, Choi, Seung Hoan, Verkerk, Arie O., Mizusawa, Yuka, Anys, Soraya, Minois, Damien, Arnaud, Marine, Duchateau, Josselin, Wijeyeratne, Yanushi D., Muir, Alison, Papadakis, Michael, Castelletti, Silvia, Torchio, Margherita, Ortuño, Cristina Gil, Lacunza, Javier, Giachino, Daniela F., Cerrato, Natascia, Martins, Raphaël P., Campuzano, Oscar, Van Dooren, Sonia, Thollet, Aurélie, Kyndt, Florence, Mazzanti, Andrea, Clémenty, Nicolas, Bisson, Arnaud, Corveleyn, Anniek, Stallmeyer, Birgit, Dittmann, Sven, Saenen, Johan, Noël, Antoine, Honarbakhsh, Shohreh, Rudic, Boris, Marzak, Halim, Rowe, Matthew K., Federspiel, Claire, Le Page, Sophie, Placide, Leslie, Milhem, Antoine, Barajas-Martinez, Hector, Beckmann, Britt-Maria, Krapels, Ingrid P., Steinfurt, Johannes, Winkel, Bo Gregers, Jabbari, Reza, Shoemaker, Moore B., Boukens, Bas J., Škorić-Milosavljević, Doris, Bikker, Hennie, Manevy, Federico, Lichtner, Peter, Ribasés, Marta, Meitinger, Thomas, Müller-Nurasyid, Martina, Strauch, Konstantin, Peters, Annette, Schulz, Holger, Schwettmann, Lars, Leidl, Reiner, Heier, Margit, Veldink, Jan H., van den Berg, Leonard H., Van Damme, Philip, Cusi, Daniele, Lanzani, Chiara, Rigade, Sidwell, Charpentier, Eric, Baron, Estelle, Bonnaud, Stéphanie, Lecointe, Simon, Donnart, Audrey, Le Marec, Hervé, Chatel, Stéphanie, Karakachoff, Matilde, Bézieau, Stéphane, London, Barry, Tfelt-Hansen, Jacob, Roden, Dan, Odening, Katja E., Cerrone, Marina, Chinitz, Larry A., Volders, Paul G., van de Berg, Maarten P., Laurent, Gabriel, Faivre, Laurence, Antzelevitch, Charles, Kääb, Stefan, Arnaout, Alain Al, Dupuis, Jean-Marc, Pasquie, Jean-Luc, Billon, Olivier, Roberts, Jason D., Jesel, Laurence, Borggrefe, Martin, Lambiase, Pier D., Mansourati, Jacques, Loeys, Bart, Leenhardt, Antoine, Guicheney, Pascale, Maury, Philippe, Schulze-Bahr, Eric, Robyns, Tomas, Breckpot, Jeroen, Babuty, Dominique, Priori, Silvia G., Napolitano, Carlo, Defaye, Pascal, Anselme, Frédéric, Darmon, Jean Philippe, Wiart, François, de Asmundis, Carlo, Brugada, Pedro, Brugada, Ramon, Arbelo, Elena, Brugada, Josep, Mabo, Philippe, Behar, Nathalie, Giustetto, Carla, Molina, Maria Sabater, Gimeno, Juan R., Hasdemir, Can, Schwartz, Peter J., Crotti, Lia, McKeown, Pascal P., Sharma, Sanjay, Behr, Elijah R., Haissaguerre, Michel, Sacher, Frédéric, Rooryck, Caroline, Tan, Hanno L., Remme, Carol A., Postema, Pieter G., Delmar, Mario, Ellinor, Patrick T., Lubitz, Steven A., Gourraud, Jean-Baptiste, Tanck, Michael W., George, Alfred L., MacRae, Calum A., Burridge, Paul W., Dina, Christian, Probst, Vincent, Wilde, Arthur A., Schott, Jean-Jacques, Redon, Richard, Bezzina, Connie R., KORA-Study Group, Nantes Referral Ctr Inherited Card, unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - UFR de Médecine et des Techniques Médicales (Nantes Univ - UFR MEDECINE), Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] (CRCTB), Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux]-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Santé - François Bonamy, Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Santé de l'Université de Nantes (IRS-UN)-Centre hospitalier universitaire de Nantes (CHU Nantes), Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire Maladies Rares: Génétique et Métabolisme (Bordeaux) (U1211 INSERM/MRGM), Université de Bordeaux (UB)-Groupe hospitalier Pellegrin-Institut National de la Santé et de la Recherche Médicale (INSERM), Amsterdam UMC - Amsterdam University Medical Center, The MINE study (J.H.V.) has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 772376—EScORIAL). 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 makes use of data generated by the Wellcome Trust Case-Control Consortium. A full list of the investigators who contributed to the generation of the data is available from www.wtccc.org.uk. Funding for the project was provided by the Wellcome Trust under award 076113, 085475 and 090355. The KORA research platform (KORA, Cooperative Research in the Region of Augsburg) was initiated and financed by the Helmholtz Zentrum München—German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research and by the State of Bavaria. Furthermore, KORA research was supported within the Munich Center of Health Sciences (MC Health), Ludwig-Maximilians-Universität, as part of LMUinnovativ. J. Barc is supported by the research program Etoiles montantes des Pays de la Loire REGIOCARD RPH081-U1087-REG-PDL, ANR JCJC LEARN (R21006NN, RPV21014NNA) and by the H2020-MSCA-IF-2014 Program of the European Commission (RISTRAD-661617). R.T. is supported by the Canadian Heart Rhythm Society’s George Mines Award, the European Society of Cardiology research award, and the Philippa and Marvin Carsley Cardiology Chair. D.Y.C. is supported by Fondation Leducq and National Institutes of Health (NIH) NHGRI T32 (no. 1T32HG010464-01). M. Baudic was supported by IRP—VERACITIES—New Mechanisms for VEntricular ARrhythmia And CardIomeTabolic DIseasES, an I-SITE NExT health and engineering initiative (Ecole Centrale and Nantes University) and by the IRP—GAINES—Genetic Architecture IN cardiovascular disEaSes funded by INSERM and CNRS. R.W. is supported by an Amsterdam Cardiovascular Sciences fellowship. S.C. is supported by the NHLBI BioData Catalyst Fellows Program. C.A.R. is supported by Fondation Leducq, the Dutch Heart Foundation (CVON PREDICT2) and the Innovational Research Incentives Scheme Vidi grant from the Netherlands Organisation for Health Research and Development (ZonMw, 91714371). Y.D.W. is supported by the Robert Lancaster Memorial Fund. M.P. is supported by Cardiac Risk in the Young. S.V.D. is supported by Wetenschappelijk Fonds Willy Gepts VUB-UZ Brussel, project ‘Unravelling the molecular genetic pathways of Brugada Syndrome by cardiomics research’, VUB IRP project ‘IMAGica: an Integrative personalized Medical Approach for Genetic diseases, Inherited Cardia Arrhythmias as a model’ and Innoviris BRIDGE 2017, project ‘IGenCare: Integrated Personalised Medical Genomics Care Solution for Patients with Rare Genetic Diseases’. S.H. is supported by the Barts BRC. B.R. is supported by the DZHK (German Centre for Cardiovascular Research) and by the BMBF (German Ministry of Education and Research). B.G.W. is supported by the Danish Heart Foundation. M.B.S. is supported by K23HL127704. 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. D.C. and C.L. are supported by HYPERGENES (HEALTH-F4-2007). D.R. is supported by R01 HL149826, P50 GM115305. P.J.S. acknowledges the support of Leducq Foundation for Cardiovascular Research grant 18CVD05. P.V.D. is supported by the Netherlands CardioVascular Research Initiative (CVON PREDICT2). C.A. is supported by NIH HL47678 and HL138103, W.W. Smith Charitable Trust and Wistar Morris Fund. M.B. is Supported by the DZHK (German Centre for Cardiovascular Research) and by the BMBF (German Ministry of Education and Research). P.D.L. is supported by UCL/UCLH Biomedicine NIHR and Barts BRC. B.L. is supported by GOA—Antigone 33933. J.B. is supported by a Senior Clinical Fellowship of the Flemish Science Foundation (FWO). E.B. is supported by the British Heart Foundation including BHF Clinical Research Training Fellowship (FS/11/71/28918: Future diagnostic role and new genetic loci in SADS), Cardiac Risk in the Young and Robert Lancaster Memorial fund sponsored by McColl’s Ltd. Retail Group. H.L.T. is supported by the European Union’s Horizon 2020 research and innovation program under acronym ESCAPE-NET, registered under grant agreement no. 733381, and the Dutch Heart Foundation (CVON RESCUED and PREDICT2 projects). M.D. is supported by NIH-RO1 HL134328. P.T.E. was supported by the Fondation Leducq (14CVD01), the NIH (1RO1HL092577, R01HL128914, K24HL105780), the American Heart Association (18SFRN34110082) and by a research grant from Bayer AG to the Broad Institute. S.A.L. is supported by NIH grant 1R01HL139731 and American Heart Association 18SFRN34250007. J.-B.G. received a grant from the Fédération Française de Cardiologie (PREVENT project). A.L.G. is supported by the Fondation Leducq. C.A.M.R. is supported by the Leducq Foundation and Burroughs Wellecome Fund. A.A.W. is supported by the Dutch Heart Foundation (CVON PREDICT2 project). J.-J.S. is supported by the Fondation pour la Recherche Médicale (DEQ20140329545). R.R. and P.G. are supported by the National Agency for Research (ANR-GENSUD-14-CE10-0001). C.R.B. is supported by the Dutch Heart Foundation (CVON PREDICT2 project), the Netherlands Organization for Scientific Research (VICI fellowship, 016.150.610) and Fondation Leducq (17CVD02)., Barc, J, Tadros, R, Glinge, C, Chiang, D, Jouni, M, Simonet, F, Jurgens, S, Baudic, M, Nicastro, M, Potet, F, Offerhaus, J, Walsh, R, Hoan Choi, S, Verkerk, A, Mizusawa, Y, Anys, S, Minois, D, Arnaud, M, Duchateau, J, Wijeyeratne, Y, Muir, A, Papadakis, M, Castelletti, S, Torchio, M, Gil Ortuño, C, Lacunza, J, Giachino, D, Cerrato, N, Martins, R, Campuzano, O, Van Dooren, S, Thollet, A, Kyndt, F, Mazzanti, A, Clémenty, N, Bisson, A, Corveleyn, A, Stallmeyer, B, Dittmann, S, Saenen, J, Noël, A, Honarbakhsh, S, Rudic, B, Marzak, H, Rowe, M, Federspiel, C, Le Page, S, Placide, L, Milhem, A, Barajas-Martinez, H, Beckmann, B, Krapels, I, Steinfurt, J, Gregers Winkel, B, Jabbari, R, Shoemaker, M, Boukens, B, Škorić-Milosavljević, D, Bikker, H, Manevy, F, Lichtner, P, Ribasés, M, Meitinger, T, Müller-Nurasyid, M, Group, K, Veldink, J, van den Berg, L, Van Damme, P, Cusi, D, Lanzani, C, Rigade, S, Charpentier, E, Baron, E, Bonnaud, S, Lecointe, S, Donnart, A, Le Marec, H, Chatel, S, Karakachoff, M, Bézieau, S, London, B, Tfelt-Hansen, J, Roden, D, Odening, K, Cerrone, M, Chinitz, L, Volders, P, van de Berg, M, Laurent, G, Faivre, L, Antzelevitch, C, Kääb, S, Al Arnaout, A, Dupuis, J, Pasquie, J, Billon, O, Roberts, J, Jesel, L, Borggrefe, M, Lambiase, P, Mansourati, J, Loeys, B, Leenhardt, A, Guicheney, P, Maury, P, Schulze-Bahr, E, Robyns, T, Breckpot, J, Babuty, D, Priori, S, Napolitano, C, Referral Center for inherited cardiac arrhythmia, N, de Asmundis, C, Brugada, P, Brugada, R, Arbelo, E, Brugada, J, Mabo, P, Behar, N, Giustetto, C, Sabater Molina, M, Gimeno, J, Hasdemir, C, Schwartz, P, Crotti, L, Mckeown, P, Sharma, S, Behr, E, Haissaguerre, M, Sacher, F, Rooryck, C, Tan, H, Remme, C, Postema, P, Delmar, M, Ellinor, P, Lubitz, S, Gourraud, J, Tanck, M, L. George Jr., A, Macrae, C, Burridge, P, Dina, C, Probst, V, Wilde, A, Schott, J, Redon &amp, R, Bezzina, C, Cardiology, Graduate School, Medical Biology, ACS - Amsterdam Cardiovascular Sciences, ACS - Heart failure & arrhythmias, Human Genetics, ACS - Pulmonary hypertension & thrombosis, ARD - Amsterdam Reproduction and Development, APH - Methodology, Epidemiology and Data Science, MUMC+: DA KG Polikliniek (9), RS: Carim - H02 Cardiomyopathy, Cardiologie, MUMC+: MA Med Staf Spec Cardiologie (9), RS: Carim - H04 Arrhythmogenesis and cardiogenetics, and Cardiovascular Centre (CVC)

Subjects
EXPRESSION, [SDV]Life Sciences [q-bio], DIAGNOSIS, GUIDELINES, ANNOTATION, Article, NAV1.5 Voltage-Gated Sodium Channel, Young Adult, MANAGEMENT, Genetics, GWAS, Humans, Genetic Predisposition to Disease, 610 Medicine & health, SCN5A, Alleles, Brugada Syndrome, Allele, [SDV.GEN]Life Sciences [q-bio]/Genetics, HERITABILITY, Microtubule-Associated Protein, Brugada Syndrome, GWAS, SNPs, COMMON VARIANTS, Mutation, Disease Susceptibility, Human medicine, ENRICHMENT, Microtubule-Associated Proteins, SNPs, Human, GENERATION, Genome-Wide Association Study
Abstract

Brugada syndrome (BrS) is a cardiac arrhythmia disorder associated with sudden death in young adults. With the exception of SCN5A, encoding the cardiac sodium channel Na(V)1.5, susceptibility genes remain largely unknown. Here we performed a genome-wide association meta-analysis comprising 2,820 unrelated cases with BrS and 10,001 controls, and identified 21 association signals at 12 loci (10 new). Single nucleotide polymorphism (SNP)-heritability estimates indicate a strong polygenic influence. Polygenic risk score analyses based on the 21 susceptibility variants demonstrate varying cumulative contribution of common risk alleles among different patient subgroups, as well as genetic associations with cardiac electrical traits and disorders in the general population. The predominance of cardiac transcription factor loci indicates that transcriptional regulation is a key feature of BrS pathogenesis. Furthermore, functional studies conducted on MAPRE2, encoding the microtubule plus-end binding protein EB2, point to microtubule-related trafficking effects on Na(V)1.5 expression as a new underlying molecular mechanism. Taken together, these findings broaden our understanding of the genetic architecture of BrS and provide new insights into its molecular underpinnings. Genome-wide association analyses identify new susceptibility loci for Brugada syndrome. Functional studies implicate microtubule-related trafficking effects on sodium channel expression as an underlying molecular mechanism., European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program [772376-EScORIAL]; Health~Holland; Top Sector Life Sciences Health; Wellcome Trust [076113, 085475, 090355]; Helmholtz Zentrum Munchen-German Research Center for Environmental Health - German Federal Ministry of Education and Research; State of Bavaria; Munich Center of Health Sciences (MC Health), Ludwig-Maximilians-Universitat, as part of LMUinnovativ; research program Etoiles montantes des Pays de la Loire [REGIOCARD RPH081-U1087-REG-PDL]; ANR JCJC LEARN [R21006NN, RPV21014NNA]; H2020-MSCA-IF-2014 Program of the European Commission [RISTRAD-661617]; Canadian Heart Rhythm Society's George Mines Award; European Society of Cardiology research award; Philippa and Marvin Carsley Cardiology Chair; Fondation Leducq; National Institutes of Health (NIH) NHGRI T32 [1T32HG010464-01]; IRP-VERACITIES-New Mechanisms for VEntricular ARrhythmia And CardIomeTabolic DIseasES an I-SITE NExT health and engineering initiative (Ecole Centrale); IRP-VERACITIES-New Mechanisms for VEntricular ARrhythmia And CardIomeTabolic DIseasES an I-SITE NExT health and engineering initiative (Nantes University); IRP-GAINES-Genetic Architecture IN cardiovascular disEaSes - INSERM; CNRS; Amsterdam Cardiovascular Sciences fellowship; NHLBI BioData Catalyst Fellows Program; Dutch Heart Foundation [CVON PREDICT2]; Innovational Research Incentives Scheme Vidi grant from the Netherlands Organisation for Health Research and Development (ZonMw) [91714371]; Robert Lancaster Memorial Fund; Cardiac Risk in the Young; Wetenschappelijk Fonds Willy Gepts VUB-UZ Brussel; VUB IRP project `IMAGica: an Integrative personalized Medical Approach for Genetic diseases, Inherited Cardia Arrhythmias as a model' and Innoviris BRIDGE 2017; project `IGenCare: Integrated Personalised Medical Genomics Care Solution for Patients with Rare Genetic Diseases'; Barts BRC; DZHK (German Centre for Cardiovascular Research); BMBF (German Ministry of Education and Research); Danish Heart Foundation; IWT [140935]; ALS Liga Belgie; National Lottery of Belgium; KU Leuven Opening the Future Fund; HYPERGENES [HEALTH-F4-2007]; Leducq Foundation for Cardiovascular Research grant [18CVD05]; Netherlands CardioVascular Research Initiative [CVON PREDICT2]; NIH [HL47678, HL138103, 1RO1HL092577, R01HL128914, K24HL105780]; W.W. Smith Charitable Trust; Wistar Morris Fund; GOA-Antigone [33933]; Senior Clinical Fellowship of the Flemish Science Foundation (FWO); British Heart Foundation; BHF Clinical Research Training Fellowship [FS/11/71/28918]; Cardiac Risk in the Young and Robert Lancaster Memorial fund - McColl's Ltd. Retail Group; European Union's Horizon 2020 research and innovation program under acronym ESCAPE-NET [733381]; Dutch Heart Foundation; Fondation Leducq [14CVD01, 17CVD02]; American Heart Association [18SFRN34110082, 18SFRN34250007]; Bayer AG; NIH grant [1R01HL139731]; Federation Francaise de Cardiologie (PREVENT project); Leducq Foundation; Burroughs Wellecome Fund; Fondation pour la Recherche Medicale [DEQ20140329545]; National Agency for Research [ANR-GENSUD-14-CE10-0001]; Netherlands Organization for Scientific Research (VICI fellowship) [016.150.610]; [K23HL127704]; [R01 HL149826]; [P50 GM115305]; [NIH-RO1 HL134328], We are greatly indebted to the patients included in the study. We thank V. Cotard, C. Goutsmedt, M.-F. Le Cunff and N. Bourgeais for assistance in patient recruitment and L. Beekman for his technical support. We thank the biological resource centre for biobanking (CHU Nantes, Nantes Universite, Centre de ressources biologiques (BB0033-00040), F-44000 Nantes, France) for applying the following guidelines68. We are most grateful to the Genomics and Bioinformatics Core Facility of Nantes (GenoBiRD, Biogenouest, IFB) for its technical support. This research has been conducted using the UK Biobank resource; we are grateful to UK Biobank participants. The MINE study (J.H.V.) has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement no. 772376-EScORIAL). 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 makes use of data generated by the Wellcome Trust Case-Control Consortium. A full list of the investigators who contributed to the generation of the data is available from www.wtccc.org.uk.Funding for the project was provided by the Wellcome Trust under award 076113, 085475 and 090355. The KORA research platform (KORA, Cooperative Research in the Region of Augsburg) was initiated and financed by the Helmholtz Zentrum Munchen-German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research and by the State of Bavaria. Furthermore, KORA research was supported within the Munich Center of Health Sciences (MC Health), Ludwig-Maximilians-Universitat, as part of LMUinnovativ. J. Barc is supported by the research program Etoiles montantes des Pays de la Loire REGIOCARD RPH081-U1087-REG-PDL, ANR JCJC LEARN (R21006NN, RPV21014NNA) and by the H2020-MSCA-IF-2014 Program of the European Commission (RISTRAD-661617). R.T. is supported by the Canadian Heart Rhythm Society's George Mines Award, the European Society of Cardiology research award, and the Philippa and Marvin Carsley Cardiology Chair. D.Y.C. is supported by Fondation Leducq and National Institutes of Health (NIH) NHGRI T32 (no. 1T32HG010464-01). M. Baudic was supported by IRP-VERACITIES-New Mechanisms for VEntricular ARrhythmia And CardIomeTabolic DIseasES, an I-SITE NExT health and engineering initiative (Ecole Centrale and Nantes University) and by the IRP-GAINES-Genetic Architecture IN cardiovascular disEaSes funded by INSERM and CNRS. R.W. is supported by an Amsterdam Cardiovascular Sciences fellowship. S.C. is supported by the NHLBI BioData Catalyst Fellows Program. C.A.R. is supported by Fondation Leducq, the Dutch Heart Foundation (CVON PREDICT2) and the Innovational Research Incentives Scheme Vidi grant from the Netherlands Organisation for Health Research and Development (ZonMw; 91714371). Y.D.W. is supported by the Robert Lancaster Memorial Fund. M.P. is supported by Cardiac Risk in the Young. S.V.D. is supported by Wetenschappelijk Fonds Willy Gepts VUB-UZ Brussel, project `Unravelling the molecular genetic pathways of Brugada Syndrome by cardiomics research', VUB IRP project `IMAGica: an Integrative personalized Medical Approach for Genetic diseases, Inherited Cardia Arrhythmias as a model' and Innoviris BRIDGE 2017, project `IGenCare: Integrated Personalised Medical Genomics Care Solution for Patients with Rare Genetic Diseases'. S.H. is supported by the Barts BRC. B.R.; is supported by the DZHK (German Centre for Cardiovascular Research) and by the BMBF (German Ministry of Education and Research). B.G.W. is supported by the Danish Heart Foundation. M.B.S. is supported by K23HL127704. Project MinE Belgium was supported by a grant from IWT (no. 140935), the ALS Liga Belgie, the National Lottery of Belgium and the KU Leuven Opening the Future Fund. D.C. and C.L. are supported by HYPERGENES (HEALTH-F4-2007). D.R. is supported by R01 HL149826, P50 GM115305. P.J.S. acknowledges the support of Leducq Foundation for Cardiovascular Research grant 18CVD05. P.V.D. is supported by the Netherlands CardioVascular Research Initiative (CVON PREDICT2). C.A. is supported by NIH HL47678 and HL138103, W.W. Smith Charitable Trust and Wistar Morris Fund. M.B. is Supported by the DZHK (German Centre for Cardiovascular Research) and by the BMBF (German Ministry of Education and Research). P.D.L. is supported by UCL/UCLH Biomedicine NIHR and Barts BRC. B.L. is supported by GOA-Antigone 33933. J.B. is supported by a Senior Clinical Fellowship of the Flemish Science Foundation (FWO). E.B. is supported by the British Heart Foundation including BHF Clinical Research Training Fellowship (FS/11/71/28918: Future diagnostic role and new genetic loci in SADS), Cardiac Risk in the Young and Robert Lancaster Memorial fund sponsored by McColl's Ltd. Retail Group. H.L.T. is supported by the European Union's Horizon 2020 research and innovation program under acronym ESCAPE-NET, registered under grant agreement no. 733381, and the Dutch Heart Foundation (CVON RESCUED and PREDICT2 projects). M.D. is supported by NIH-RO1 HL134328. P.T.E. was supported by the Fondation Leducq (14CVD01), the NIH (1RO1HL092577, R01HL128914, K24HL105780), the American Heart Association (18SFRN34110082) and by a research grant from Bayer AG to the Broad Institute. S.A.L. is supported by NIH grant 1R01HL139731 and American Heart Association 18SFRN34250007. J.-B.G. received a grant from the Federation Francaise de Cardiologie (PREVENT project). A.L.G. is supported by the Fondation Leducq. C.A.M.R. is supported by the Leducq Foundation and Burroughs Wellecome Fund. A.A.W. is supported by the Dutch Heart Foundation (CVON PREDICT2 project). J.-J.S. is supported by the Fondation pour la Recherche Medicale (DEQ20140329545). R.R. and P.G. are supported by the National Agency for Research (ANR-GENSUD-14-CE10-0001). C.R.B. is supported by the Dutch Heart Foundation (CVON PREDICT2 project), the Netherlands Organization for Scientific Research (VICI fellowship, 016.150.610) and Fondation Leducq (17CVD02).

Published
2022
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31. Transethnic Genome-Wide Association Study Provides Insights in the Genetic Architecture and Heritability of Long QT Syndrome

Author

Yvonne M. Hoedemaekers, M. Ben Shoemaker, Pascale Guicheney, Antoine Leenhardt, Andrea Mazzanti, Minoru Horie, Jan H. Veldink, Isabelle Denjoy, Yu Kucho, Chiea Chuen Khor, Tomas Robyns, Carlo Napolitano, Peter Weeke, J. Martijn Bos, David J. Tester, Hanno L. Tan, Annika Rydberg, Patrick T. Ellinor, Pilar Galan, Taisuke Ishikawa, Seiko Ohno, Peter J. Schwartz, Masao Yoshinaga, Thomas Werge, Marta Ribasés, Bart Loeys, Jean-Jacques Schott, Jacob Tfelt-Hansen, Ulla-Britt Diamant, Marko Ernsting, Georgia Sarquella-Brugada, Yuka Mizusawa, Michael Christiansen, Pyotr G. Platonov, Annika Winbo, Thomas Meitinger, Keiko Shimamoto, Cristina Barlassina, Pieter G. Postema, Takeru Makiyama, Maarten P. van den Berg, Yanushi D. Wijeyeratne, Wataru Shimizu, Charles Antzelevitch, Christopher Newton-Cheh, Martina Müller-Nurasyid, Dan M. Roden, Vincent Probst, Takeshi Aiba, Lia Crotti, Daniele Cusi, Britt M. Beckmann, Johan Saenen, Peter Lichtner, Oscar Campuzano, Tin Aung, Nynke Hofman, Morten S. Olesen, Matteo Pedrazzini, Elijah R. Behr, Karen E. Morrison, Najim Lahrouchi, Katja E. Odening, Andrew D. Krahn, Kari L. Turkowski, J. Peter van Tintelen, Steven A. Lubitz, Federica Dagradi, Josep Brugada, Julien Barc, Birgit Stallmeyer, Stefan Kääb, Sven Zumhagen, Jonathan R. Skinner, Michael W.T. Tanck, Christopher Shaw, Brianna Davies, Eric Schulze-Bahr, Mineo Ozaki, Roddy Walsh, Antoine Andorin, Leonard H. van den Berg, Silvia G. Priori, Johannes Steinfurt, Jean-Baptiste Gourraud, Eline A. Nannenberg, Mark Lathrop, Rafik Tadros, Ramon Brugada, Leander Beekman, Peter M. Andersen, Ryan Pfeiffer, Boris Rudic, Reza Jabbari, Kanae Hasegawa, Jeroen Breckpot, Naomasa Makita, Michael J. Ackerman, Arthur A.M. Wilde, Hideki Itoh, Martin Borggrefe, Elena Arbelo, Connie R. Bezzina, Pamela J. Shaw, Ammar Al-Chalabi, Markus Munter, Cardiology, Graduate School, ACS - Heart failure & arrhythmias, ACS - Amsterdam Cardiovascular Sciences, Human Genetics, Epidemiology and Data Science, APH - Methodology, ACS - Atherosclerosis & ischemic syndromes, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences. Amsterdam University Medical Center, University of Amsterdam, European Reference Network for Rare, Low Prevalence, and Complex Diseases of the Heart (ERN GUARD-Heart), Institut de Cardiologie de Montreal, Université de Montréal (UdeM), Istituto Auxologico Italiano, Shiga University of Medical Science, University of Fukui [Bunkyo], Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Sorbonne Paris Nord-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), CIC - CHU Bichat, Institut National de la Santé et de la Recherche Médicale (INSERM), Lahrouchi, N, Tadros, R, Crotti, L, Mizusawa, Y, Postema, P, Beekman, L, Walsh, R, Hasegawa, K, Barc, J, Ernsting, M, Turkowski, K, Mazzanti, A, Beckmann, B, Shimamoto, K, Diamant, U, Wijeyeratne, Y, Kucho, Y, Robyns, T, Ishikawa, T, Arbelo, E, Christiansen, M, Winbo, A, Jabbari, R, Lubitz, S, Steinfurt, J, Rudic, B, Loeys, B, Shoemaker, M, Weeke, P, Pfeiffer, R, Davies, B, Andorin, A, Hofman, N, Dagradi, F, Pedrazzini, M, Tester, D, Bos, J, Sarquella-Brugada, G, Campuzano, Ó, Platonov, P, Stallmeyer, B, Zumhagen, S, Nannenberg, E, Veldink, J, van den Berg, L, Al-Chalabi, A, Shaw, C, Shaw, P, Morrison, K, Andersen, P, Müller-Nurasyid, M, Cusi, D, Barlassina, C, Galan, P, Lathrop, M, Munter, M, Werge, T, Ribasés, M, Aung, T, Khor, C, Ozaki, M, Lichtner, P, Meitinger, T, van Tintelen, J, Hoedemaekers, Y, Denjoy, I, Leenhardt, A, Napolitano, C, Shimizu, W, Schott, J, Gourraud, J, Makiyama, T, Ohno, S, Itoh, H, Krahn, A, Antzelevitch, C, Roden, D, Saenen, J, Borggrefe, M, Odening, K, Ellinor, P, Tfelt-Hansen, J, Skinner, J, van den Berg, M, Olesen, M, Brugada, J, Brugada, R, Makita, N, Breckpot, J, Yoshinaga, M, Behr, E, Rydberg, A, Aiba, T, Kääb, S, Priori, S, Guicheney, P, Tan, H, Newton-Cheh, C, Ackerman, M, Schwartz, P, Schulze-Bahr, E, Probst, V, Horie, M, Wilde, A, Tanck, M, Bezzina, C, and Cardiovascular Centre (CVC)

Subjects
Multifactorial Inheritance, [SDV]Life Sciences [q-bio], Genome-wide association study, 030204 cardiovascular system & hematology, Severity of Illness Index, Sudden cardiac death, Electrocardiography, 0302 clinical medicine, inheritance pattern, Medicine, Cardiac and Cardiovascular Systems, Age of Onset, Genetics, 0303 health sciences, Kardiologi, Genetic disorder, genome-wide association study, Prognosis, 3. Good health, Phenotype, Medical genetics, Cardiology and Cardiovascular Medicine, Adult, medicine.medical_specialty, congenital, hereditary, and neonatal diseases and abnormalities, Adolescent, Genotype, Long QT syndrome, 610 Medicine & health, BIO/18 - GENETICA, QT interval, Polymorphism, Single Nucleotide, 03 medical and health sciences, Young Adult, Physiology (medical), long QT syndrome, Humans, Genetic Predisposition to Disease, cardiovascular diseases, Alleles, Genetic Association Studies, MED/01 - STATISTICA MEDICA, 030304 developmental biology, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, inheritance patterns, MED/11 - MALATTIE DELL'APPARATO CARDIOVASCOLARE, Heritability, medicine.disease, Genetic architecture, Genome-wide Association Study, Inheritance Patterns, Long Qt Syndrome, Case-Control Studies, Human medicine, business
Abstract

Background: Long QT syndrome (LQTS) is a rare genetic disorder and a major preventable cause of sudden cardiac death in the young. A causal rare genetic variant with large effect size is identified in up to 80% of probands (genotype positive) and cascade family screening shows incomplete penetrance of genetic variants. Furthermore, a proportion of cases meeting diagnostic criteria for LQTS remain genetically elusive despite genetic testing of established genes (genotype negative). These observations raise the possibility that common genetic variants with small effect size contribute to the clinical picture of LQTS. This study aimed to characterize and quantify the contribution of common genetic variation to LQTS disease susceptibility. Methods: We conducted genome-wide association studies followed by transethnic meta-analysis in 1656 unrelated patients with LQTS of European or Japanese ancestry and 9890 controls to identify susceptibility single nucleotide polymorphisms. We estimated the common variant heritability of LQTS and tested the genetic correlation between LQTS susceptibility and other cardiac traits. Furthermore, we tested the aggregate effect of the 68 single nucleotide polymorphisms previously associated with the QT-interval in the general population using a polygenic risk score. Results: Genome-wide association analysis identified 3 loci associated with LQTS at genome-wide statistical significance ( P −8 ) near NOS1AP , KCNQ1 , and KLF12 , and 1 missense variant in KCNE1 (p.Asp85Asn) at the suggestive threshold ( P −6 ). Heritability analyses showed that ≈15% of variance in overall LQTS susceptibility was attributable to common genetic variation ( h2SNP 0.148; standard error 0.019). LQTS susceptibility showed a strong genome-wide genetic correlation with the QT-interval in the general population (r g =0.40; P =3.2×10 −3 ). The polygenic risk score comprising common variants previously associated with the QT-interval in the general population was greater in LQTS cases compared with controls ( P P Conclusions: This work establishes an important role for common genetic variation in susceptibility to LQTS. We demonstrate overlap between genetic control of the QT-interval in the general population and genetic factors contributing to LQTS susceptibility. Using polygenic risk score analyses aggregating common genetic variants that modulate the QT-interval in the general population, we provide evidence for a polygenic architecture in genotype negative LQTS.

Published
2020
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32. Rod migration to the occiput after C3-7 instrumentation: A rare case report and literature review.

Author

Jabbari R, Mohammadzadeh I, Niroomand B, Jabbari A, Darekordi M, and Mousavinejad SA

Abstract

Introduction and Importance: Cervical canal stenosis often requires posterior laminectomy with lateral mass (LM) screw/rod fixation for sagittal stability. Although rare, rod migration can pose serious risks, such as penetration into cranial structures, emphasizing the need for vigilant postoperative monitoring and prompt intervention., Case Presentation: A 65-year-old male with no significant prior medical history underwent C3-7 laminectomy with LM screw/rod fixation for cervical canal stenosis. Two months postoperatively, the patient experienced persistent neck pain. Imaging revealed right-sided rod migration into the occipital bone, confirmed by CT scan. Urgent revision surgery was performed to remove the migrated rod, resulting in a successful recovery without further complications during follow-up evaluations., Clinical Discussion: Rod migration is a rare but serious complication of LM screw/rod fixation, influenced by technical factors such as screw placement, angulation, and rod length. Accurate preoperative planning, meticulous surgical technique, and detailed postoperative surveillance are crucial in preventing such occurrences. This case highlights the significance of recognizing potential hardware complications early, facilitated by imaging modalities like CT, to avoid severe neurological outcomes., Conclusion: This case underscores the necessity of thorough preoperative assessment, precise surgical execution, and rigorous postoperative monitoring in managing cervical spine stabilization surgeries. Improved diagnostic imaging and prompt surgical intervention are key to mitigating risks associated with rod migration, ultimately enhancing patient outcomes., Competing Interests: Declaration of competing interest Authors declared no personal or financial conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2024
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33. Scar border zone mass and presence of border zone channels assessed with cardiac magnetic resonance imaging are associated with ventricular arrhythmia in patients with ST-segment elevation myocardial infarction.

Author

Thomsen AF, Bertelsen L, Jøns C, Jabbari R, Lønborg J, Kyhl K, Göransson C, Nepper-Christensen L, Atharovski K, Ekström K, Tilsted HH, Pedersen F, Køber L, Engstrøm T, Vejlstrup N, and Jacobsen PK

Subjects
Humans, Cicatrix etiology, Cicatrix complications, Stroke Volume, Contrast Media, Ventricular Function, Left, Gadolinium, Magnetic Resonance Imaging methods, Arrhythmias, Cardiac complications, Magnetic Resonance Imaging, Cine methods, ST Elevation Myocardial Infarction complications, ST Elevation Myocardial Infarction diagnostic imaging, Myocardial Infarction complications, Myocardial Infarction diagnostic imaging
Abstract

Aims: Late gadolinium enhancement cardiac magnetic resonance (CMR) permits characterization of left ventricular ischaemic scars. We aimed to evaluate if scar core mass, border zone (BZ) mass, and BZ channels are risk markers for subsequent ventricular arrhythmia (VA) in ST-segment elevation myocardial infarction (STEMI)., Methods and Results: A sub-study of the DANish Acute Myocardial Infarction-3 multi-centre trial and Danegaptide phase II proof-of-concept clinical trial in which a total of 843 STEMI patients had a 3-month follow-up CMR. Of these, 21 patients subsequently experienced VA during 100 months of follow-up and were randomly matched 1:5 with 105 controls. A VA event was defined as: ventricular tachycardia, ventricular fibrillation, or sudden cardiac death. Ischaemic scar characteristics were automatically detected by specialized software. We included 126 patients with a median left ventricular ejection fraction of 51.0 ± 11.6% in cases with VA vs. 55.5 ± 8.5% in controls (P = 0.10). Cases had a larger mean BZ mass and more often BZ channels compared to controls [BZ mass: 17.2 ± 10.3 g vs. 10.3 ± 6.0 g; P = 0.0002; BZ channels: 17 (80%) vs. 44 (42%); P = 0.001]. A combination of ≥17.2 g BZ mass and the presence of BZ channels was five times more prevalent in cases vs. controls (P ≤ 0.00001) with an odds ratio of 9.40 (95% confidence interval 3.26-27.13; P ≤ 0.0001) for VA. This identified cases with 52% sensitivity and 90% specificity., Conclusion(s): Scar characterization with CMR indicates that a combination of ≥17.2 g BZ mass and the presence of BZ channels had the strongest association with subsequent VA in STEMI patients., Clinicaltrials.gov: Unique identifier: NCT01435408 (DANAMI 3-iPOST and DANAMI 3-DEFER), NCT01960933 (DANAMI 3-PRIMULTI), and NCT01977755 (Danegaptide)., Competing Interests: Conflict of interest: L.K. reports speakers’ fees from AstraZeneca, Novo Nordisk, Novartis, and Boehringer. T.E. reports speakers fee from Abbott. C.J. reports honoraria from Biotronik Inc. and speakers fee from Abbott. K.E. is an employee at Novo Nordisk as of 2022. The other authors have no financial conflicts of interest to declare., (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Published
2023
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34. Long-term risk of new-onset arrhythmia in ST-segment elevation myocardial infarction according to revascularization status.

Author

Thomsen AF, Jøns C, Jabbari R, Jacobsen MR, Stampe NK, Butt JH, Olsen NT, Kelbæk H, Torp-Pedersen C, Fosbøl EL, Pedersen F, Køber L, Engstrøm T, and Jacobsen PK

Subjects
Male, Humans, Middle Aged, Female, Treatment Outcome, Ventricular Fibrillation etiology, Risk Factors, ST Elevation Myocardial Infarction diagnosis, ST Elevation Myocardial Infarction therapy, ST Elevation Myocardial Infarction complications, Tachycardia, Ventricular etiology, Percutaneous Coronary Intervention adverse effects, Atrial Fibrillation complications
Abstract

Aims: Emerging data show that complete revascularization (CR) reduces cardiovascular death and recurrent myocardial infarction in ST-segment elevation myocardial infarction (STEMI). However, the influence of revascularization status on development of arrhythmia in the long-term post-STEMI phase is poorly described. We hypothesized that incomplete revascularization (ICR) compared with CR in STEMI is associated with an increased long-term risk of new-onset arrhythmia., Methods and Results: Patients with STEMI treated with primary percutaneous coronary intervention (PPCI) at Copenhagen University Hospital, Rigshospitalet, Denmark, with CR or ICR were identified via the Eastern Danish Heart registry from 2009 to 2016. Using unique Danish administrative registries, the outcomes were assessed. The primary outcome was new-onset arrhythmia defined as a composite of atrial fibrillation/flutter (AF), sinoatrial block, advanced second- or third-degree atrioventricular block, ventricular tachycardia/fibrillation (VT), or cardiac arrest (CA), with presentation >7 days post-PPCI. Secondary outcomes were the components of the primary outcome and all-cause mortality. A total of 5103 patients (median age: 62.0 years; 76% men) were included, of whom 4009 (79%) and 1094 (21%) patients underwent CR and ICR, respectively. Compared with CR, ICR was associated with a higher risk of new-onset arrhythmia [hazard ratio (HR), 1.33; 95% confidence interval (CI), 1.07-1.66; P = 0.01], AF (HR, 1.29; 95% CI, 1.00-1.66; P = 0.05), a combined outcome of VT and CA (HR, 1.77; 95% CI, 1.10-2.84; P = 0.02) and all-cause mortality (HR, 1.27; 95% CI, 1.05-1.53; P = 0.01). All HRs adjusted., Conclusion: Among patients with STEMI, ICR was associated with an increased long-term risk of new-onset arrhythmia and all-cause mortality compared with CR., Competing Interests: Conflict of interest: C.T.-P. reports research grants from Novo Nordisk and Bayer. L.K. reports speakers’ fees from AstraZeneca, Novo Nordisk, Novartis, and Boehringer. T.E. reports speakers fee from Abbott. C.J. reports honoraria from Biotronik Inc. and speakers fee from Abbott. J.H.B. reports advisory board honoraria from Bayer, outside the submitted work. The other authors have no financial conflicts of interest to declare., (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Published
2023
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35. Bundle branch block in cardiac arrest survivors without ischemic heart disease.

Author

Holm JT, Stampe NK, Bhardwaj P, Jabbari R, Gustafsson F, Risum N, Tfelt-Hansen J, and Winkel BG

Abstract

Aims: Cardiac arrest (CA) survivors with left/right bundle branch block (LBBB/RBBB) and no ischemic heart disease (IHD) have not been previously characterized. The aim of this study was to describe heart failure, implantable cardioverter defibrillator (ICD) therapy and mortality in this population., Methods: Between 2009 and 2019 we consecutively identified all CA survivors with a consistent bundle branch block (BBB) defined as a QRS ≥ 120 ms, who had a secondary prophylactic ICD implanted. Patients with congenital and ischemic heart disease (IHD) were excluded., Results: Among 701 CA-survivors who survived to discharge and received an ICD, a total of 58 (8%) were free from IHD and had BBB; 46 (79%) had LBBB, 10 (17%) had RBBB and 2 (3%) had non-specific BBB (NSBBB). The prevalence of LBBB was 7%. Pre-arrest ECG were available in 34 (59%) patients; 20 patients (59%) had LBBB, 6 (18%) had RBBB, 2 (6%) had NSBBB, 1 had (3%) incomplete LBBB, and 4 (12%) without BBB. At discharge, patients with LBBB had a significantly lower left ventricular ejection fraction (LVEF) than patients with other types of BBB, p < 0.001. During follow-up, 7 (12%) died after a median of 3.6 years (IQR: 2.6-5.1) with no difference between BBB subtypes., Conclusion: We identified 58 CA-survivors with BBB and no IHD. The prevalence of LBBB among all CA-survivors was high, 7%. During CA hospitalization LBBB patients presented with a significantly lower LVEF than patients with other types of BBB (P < 0.001). ICD treatment and mortality did not differ between BBB subtypes during follow-up., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors. Published by Elsevier B.V.)

Published
2023
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36. Long-term changes in coronary physiology after aortic valve replacement.

Author

Sabbah M, Olsen NT, Holmvang L, Tilsted HH, Pedersen F, Joshi FR, Sørensen R, Jabbari R, Arslani K, Sondergaard L, Engstrøm T, and Lønborg JT

Subjects
Humans, Coronary Circulation physiology, Blood Flow Velocity physiology, Coronary Vessels, Aortic Valve, Heart Valve Prosthesis
Abstract

Background: The detrimental effects of long-standing severe aortic stenosis (AS) often include left ventricular hypertrophy (LVH) and exhaustion of coronary flow reserve (CFR), the reversibility of which is unclear after valve replacement., Aims: Our aims were to 1) investigate whether CFR in the left anterior descending artery (LAD) would improve following valve replacement, and if the change was related to changes in hyperaemic coronary flow (Q LAD ) and minimal microvascular resistance (R μ,LAD ); and 2) investigate the relationship between changes in CFR and changes in left ventricular mass (LVM) and stroke work (LV SW )., Methods: We measured intracoronary bolus thermodilution-derived CFR, and continuous thermodilution-derived Q LAD and R μ,LAD before and 6 months after aortic valve replacement. Cardiac magnetic resonance imaging was used to quantify left ventricular anatomy and function for the calculation of LVM and LV SW .  Results: Thirty-four patients were included (17 patients had transcatheter aortic valve implantation; 14 had surgical valve replacement with a bioprosthesis and 3 with a mechanical prosthesis) who underwent invasive assessment in the LAD. CFR increased from 2.5 (interquartile range [IQR] 1.5-3.3) at baseline to 3.1 (IQR 2.2-5.1) at follow-up (p=0.005), despite no significant change in Q LAD (230±106 mL/min to 250±101 mL/min; p=0.26) or R μ,LAD (347 [IQR 247-463] to 287 [IQR 230-456]; p=0.20). When indexed for LVM, Q LAD was 39% (IQR 8-98%) higher at follow-up compared with baseline (p<0.001). The improvement in CFR was correlated with ΔLV SW , r= -0.39; p=0.047.   Conclusions: CFR in the LAD increased significantly at follow-up although global hyperaemic flow and minimal microvascular resistance remained unchanged. Thus, a decrease in resting flow was the cause of CFR improvement. CFR improvement was associated with reduction in LV SW .

Published
2023
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37. Risk of Sudden Infant Death Syndrome Among Siblings of Children Who Died of Sudden Infant Death Syndrome in Denmark.

Author

Glinge C, Rossetti S, Oestergaard LB, Stampe NK, Lynge TH, Skals R, Winkel BG, Lodder EM, Bezzina CR, Gislason G, Banner J, Behr ER, Torp-Pedersen C, Jabbari R, and Tfelt-Hansen J

Subjects
Infant, Female, Humans, Child, Male, Adult, Cohort Studies, Risk Factors, Denmark epidemiology, Siblings, Sudden Infant Death epidemiology, Sudden Infant Death etiology
Abstract

Importance: Sudden infant death syndrome (SIDS) remains a leading cause of death during the first year of life. The etiology of SIDS is complex and remains largely unknown., Objective: To evaluate whether siblings of children who died of SIDS have a higher risk of SIDS compared with the general pediatric population., Design, Setting, and Participants: This register-based cohort study used Danish nationwide registers. Participants were all infants (<1 year) in Denmark between January 1, 1978, and December 31, 2016, including siblings of children who died of SIDS. Siblings were followed up from the index cases' date of SIDS, date of birth, or immigration, whichever came first, and until age 1 year, emigration, developing SIDS, death, or study end. The median (IQR) follow-up was 1 (1-1) year. Data analysis was conducted from January 2017 to October 2022., Main Outcomes and Measures: Standardized incidence ratios (SIRs) of SIDS were calculated with Poisson regression models relative to the general population., Results: In a population of 2 666 834 consecutive births (1 395 199 [52%] male), 1540 infants died of SIDS (median [IQR] age at SIDS, 3 [2-4] months) during a 39-year study period. A total of 2384 younger siblings (cases) to index cases (first sibling with SIDS) were identified. A higher rate of SIDS was observed among siblings compared with the general population, with SIRs of 4.27 (95% CI, 2.13-8.53) after adjustment for sex, age, and calendar year and of 3.50 (95% CI, 1.75-7.01) after further adjustment for mother's age (<29 years vs ≥29 years) and education (high school vs after high school)., Conclusions and Relevance: In this nationwide study, having a sibling who died of SIDS was associated with a 4-fold higher risk of SIDS compared with the general population. Shared genetic and/or environmental factors may contribute to the observed clustering of SIDS. The family history of SIDS should be considered when assessing SIDS risk in clinical settings. A multidisciplinary genetic evaluation of families with SIDS could provide additional evidence.

Published
2023
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38. Myocardial Work in Patients Hospitalized With COVID-19: Relation to Biomarkers, COVID-19 Severity, and All-Cause Mortality.

Author

Olsen FJ, Lassen MCH, Skaarup KG, Christensen J, Davidovski FS, Alhakak AS, Sengeløv M, Nielsen AB, Johansen ND, Graff C, Bundgaard H, Hassager C, Jabbari R, Carlsen J, Kirk O, Lindholm MG, Wiese L, Kristiansen OP, Nielsen OW, Lindegaard B, Tønder N, Ulrik CS, Lamberts M, Sivapalan P, Gislason G, Iversen K, Jensen JUS, Schou M, Svendsen JH, Aalen JM, Smiseth OA, Remme EW, and Biering-Sørensen T

Subjects
Biomarkers, C-Reactive Protein metabolism, Humans, Oxygen, Peptide Fragments, Prognosis, Troponin, COVID-19, Natriuretic Peptide, Brain
Abstract

Background COVID-19 infection has been hypothesized to affect left ventricular function; however, the underlying mechanisms and the association to clinical outcome are not understood. The global work index (GWI) is a novel echocardiographic measure of systolic function that may offer insights on cardiac dysfunction in COVID-19. We hypothesized that GWI was associated with disease severity and all-cause death in patients with COVID-19. Methods and Results In a multicenter study of patients admitted with COVID-19 (n=305), 249 underwent pressure-strain loop analyses to quantify GWI at a median time of 4 days after admission. We examined the association of GWI to cardiac biomarkers (troponin and NT-proBNP [N-terminal pro-B-type natriuretic peptide]), disease severity (oxygen requirement and CRP [C-reactive protein]), and all-cause death. Patients with elevated troponin (n=71) exhibited significantly reduced GWI (1508 versus 1707 mm Hg%; P =0.018). A curvilinear association to NT-proBNP was observed, with increasing NT-proBNP once GWI decreased below 1446 mm Hg%. Moreover, GWI was significantly associated with a higher oxygen requirement (relative increase of 6% per 100-mm Hg% decrease). No association was observed with CRP. Of the 249 patients, 37 died during follow-up (median, 58 days). In multivariable Cox regression, GWI was associated with all-cause death (hazard ratio, 1.08 [95% CI, 1.01-1.15], per 100-mm Hg% decrease), but did not increase C-statistics when added to clinical parameters. Conclusions In patients admitted with COVID-19, our findings indicate that NT-proBNP and troponin may be associated with lower GWI, whereas CRP is not. GWI was independently associated with all-cause death, but did not provide prognostic information beyond readily available clinical parameters. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT04377035.

Published
2022
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39. Lung ultrasound findings in hospitalized COVID-19 patients in relation to venous thromboembolic events: the ECHOVID-19 study.

Author

Skaarup KG, Lassen MCH, Espersen C, Lind JN, Johansen ND, Sengeløv M, Alhakak AS, Nielsen AB, Ravnkilde K, Hauser R, Schöps LB, Holt E, Bundgaard H, Hassager C, Jabbari R, Carlsen J, Kirk O, Bodtger U, Lindholm MG, Wiese L, Kristiansen OP, Walsted ES, Nielsen OW, Lindegaard B, Tønder N, Jeschke KN, Ulrik CS, Lamberts M, Sivapalan P, Pallisgaard J, Gislason G, Iversen K, Jensen JUS, Schou M, Skaarup SH, Platz E, and Biering-Sørensen T

Subjects
Adult, Aged, Female, Humans, Lung diagnostic imaging, Male, Prospective Studies, Ultrasonography methods, COVID-19 diagnostic imaging, Venous Thromboembolism diagnostic imaging
Abstract

Purpose: Several studies have reported thromboembolic events to be common in severe COVID-19 cases. We sought to investigate the relationship between lung ultrasound (LUS) findings in hospitalized COVID-19 patients and the development of venous thromboembolic events (VTE)., Methods: A total of 203 adults were included from a COVID-19 ward in this prospective multi-center study (mean age 68.6 years, 56.7% men). All patients underwent 8-zone LUS, and all ultrasound images were analyzed off-line blinded. Several LUS findings were investigated (total number of B-lines, B-line score, and LUS-scores)., Results: Median time from admission to LUS examination was 4 days (IQR: 2, 8). The median number of B-lines was 12 (IQR: 8, 18), and 44 (21.7%) had a positive B-line score. During hospitalization, 17 patients developed VTE (4 deep-vein thrombosis, 15 pulmonary embolism), 12 following and 5 prior to LUS. In fully adjusted multivariable Cox models (excluding participants with VTE prior to LUS), all LUS parameters were significantly associated with VTE (total number of B-lines: HR = 1.14, 95% CI (1.03, 1.26) per 1 B-line increase), positive B-line score: HR = 9.79, 95% CI (1.87, 51.35), and LUS-score: HR = 1.51, 95% CI (1.10, 2.07), per 1-point increase). The B-line score and LUS-score remained significantly associated with VTE in sensitivity analyses., Conclusion: In hospitalized COVID-19 patients, pathological LUS findings were common, and the total number of B-lines, B-line score, and LUS-score were all associated with VTE. These findings indicate that the LUS examination may be useful in risk stratification and the clinical management of COVID-19. These findings should be considered hypothesis generating., Gov Id: NCT04377035., (© 2021. Società Italiana di Ultrasonologia in Medicina e Biologia (SIUMB).)

Published
2022
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40. Ethnic disparities in out-of-hospital cardiac arrest: A population-based cohort study among adult Danish immigrants.

Author

Garcia R, Rajan D, Warming PE, Svane J, Vissing C, Weeke P, Barcella CA, Jabbari R, Gislason GH, Torp-Pedersen C, Petersen JH, Folke F, and Tfelt-Hansen J

Abstract

Background: Ethnicity might impact out-of-hospital cardiac arrest (OHCA) risk, but it has scarcely been studied in Europe. We aimed to assess whether ethnicity influenced the risk of OHCA of cardiac cause in Danish immigrants and its interplay with risk factors for OHCA and socioeconomic status., Methods: This nationwide study included all immigrants between 18 and 80 years present in Denmark at some point between 2001 and 2020. Regions of origin were defined as Africa, Arabic countries, Asia, Eastern Europe, Latin America, and Western countries. OHCAs with presumed cardiac cause were identified from the Danish Cardiac Arrest Registry., Findings: Overall, among 1,011,565 immigrants, a total of 1,801 (0.2%) OHCAs (median age 64 (Q1-Q3 53-72) years, 72% males) occurred. The age- and sex- standardized (reference: Western countries) incidence of OHCA (/1,00,000 person-years) was 34.6 (27.8-43.4) in African, 34.1 (30.4-38.4) in Arabic, 33.5 (29.3-38.2) in Asian, 35.6 (31.9-39.6) in Eastern European, and 16.2 (9.0-27.2) in Latin American immigrants. When selecting Western origin as a reference, and after adjusting on OHCA risk factors, Arabic (HR 1.18, 95%CI 1.04-1.35; P =0.01), Eastern European (HR 1.28, 95%CI 1.13-1.46; P <0.001), and African origin (HR 1.34, 95%CI 1.10-1.63; P <0.01) were associated with higher risk of OHCA, whereas Latin American origin (HR 0.58, 95%CI 0.35-0.0.96; P =0.03) was associated with lower risk of OHCA. Comparable results were observed when adjusting on education level and economic status., Interpretation: This study emphasizes that ethnicity is associated with OHCA risk, even when considering traditional cardiac arrest risk factors., Funding: R Garcia received a grant from the Fédération Française de Cardiologie for his post-doctoral fellowship and this work was supported by the Novo Nordisk Foundation Tandem Programme 2022 (grant# 31364)., Competing Interests: We declare no competing interest., (© 2022 The Authors.)

Published
2022
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41. Lung ultrasound findings following COVID-19 hospitalization: A prospective longitudinal cohort study.

Author

Espersen C, Platz E, Alhakak AS, Sengeløv M, Simonsen JØ, Johansen ND, Davidovski FS, Christensen J, Bundgaard H, Hassager C, Jabbari R, Carlsen J, Kirk O, Lindholm MG, Kristiansen OP, Nielsen OW, Jeschke KN, Ulrik CS, Sivapalan P, Iversen K, Stæhr Jensen JU, Schou M, Skaarup SH, Højbjerg Lassen MC, Skaarup KG, and Biering-Sørensen T

Subjects
Adult, Cohort Studies, Female, Hospitalization, Humans, Longitudinal Studies, Lung diagnostic imaging, Male, Middle Aged, Prospective Studies, Ultrasonography methods, COVID-19 diagnostic imaging, Respiratory Distress Syndrome diagnostic imaging
Abstract

Background: Lung ultrasound (LUS) is a useful tool for diagnosis and monitoring in patients with active COVID-19-infection. However, less is known about the changes in LUS findings after a hospitalization for COVID-19., Methods: In a prospective, longitudinal study in patients with COVID-19 enrolled from non-ICU hospital units, adult patients underwent 8-zone LUS and blood sampling both during the hospitalization and 2-3 months after discharge. LUS images were analyzed blinded to clinical variables and outcomes., Results: A total of 71 patients with interpretable LUS at baseline and follow up (mean age 64 years, 61% male, 24% with acute respiratory distress syndrome (ARDS)) were included. The follow-up LUS was performed a median of 72 days after the initial LUS performed during hospitalization. At baseline, 87% had pathologic LUS findings in ≥1 zone (e.g. ≥3 B-lines, confluent B-lines or subpleural or lobar consolidation), whereas 30% had pathologic findings at follow-up (p < 0.001). The total number of B-lines and LUS score decreased significantly from hospitalization to follow-up (median 17 vs. 4, p < 0.001 and 4 vs. 0, p < 0.001, respectively). On the follow-up LUS, 28% of all patients had ≥3 B-lines in ≥1 zone, whereas in those with ARDS during the baseline hospitalization (n = 17), 47% had ≥3 B-lines in ≥1 zone., Conclusion: LUS findings improved significantly from hospitalization to follow-up 2-3 months after discharge in COVID-19 survivors. However, persistent B-lines were frequent at follow-up, especially among those who initially had ARDS. LUS seems to be a promising method to monitor COVID-19 lung changes over time., Gov Id: NCT04377035., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2022
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42. Lung Ultrasound Findings Associated With COVID-19 ARDS, ICU Admission, and All-Cause Mortality.

Author

Espersen C, Platz E, Skaarup KG, Lassen MCH, Lind JN, Johansen ND, Sengeløv M, Alhakak AS, Nielsen AB, Bundgaard H, Hassager C, Jabbari R, Carlsen J, Kirk O, Lindholm MG, Kristiansen OP, Nielsen OW, Jeschke KN, Ulrik CS, Sivapalan P, Gislason G, Iversen K, Jensen JUS, Schou M, Skaarup SH, and Biering-Sørensen T

Subjects
Adult, Humans, Male, Middle Aged, Female, Prospective Studies, SARS-CoV-2, Lung diagnostic imaging, Ultrasonography methods, COVID-19 diagnostic imaging, Respiratory Distress Syndrome diagnostic imaging
Abstract

Background: As lung ultrasound (LUS) has emerged as a diagnostic tool in patients with COVID-19, we sought to investigate the association between LUS findings and the composite in-hospital outcome of ARDS incidence, ICU admission, and all-cause mortality., Methods: In this prospective, multi-center, observational study, adults with laboratory-confirmed SARS-CoV-2 infection were enrolled from non-ICU in-patient units. Subjects underwent an LUS evaluating a total of 8 zones. Images were analyzed off-line, blinded to clinical variables and outcomes. A LUS score was developed to integrate LUS findings: ≥ 3 B-lines corresponded to a score of 1, confluent B-lines to a score of 2, and subpleural or lobar consolidation to a score of 3. The total LUS score ranged from 0-24 per subject., Results: Among 215 enrolled subjects, 168 with LUS data and no current signs of ARDS or ICU admission (mean age 59 y, 56% male) were included. One hundred thirty-six (81%) subjects had pathologic LUS findings in ≥ 1 zone (≥ 3 B-lines, confluent B-lines, or consolidations). Markers of disease severity at baseline were higher in subjects with the composite outcome ( n = 31, 18%), including higher median C-reactive protein (90 mg/L vs 55, P < .001) and procalcitonin levels (0.35 μg/L vs 0.13, P = .033) and higher supplemental oxygen requirements (median 4 L/min vs 2, P = .001). However, LUS findings and score did not differ significantly between subjects with the composite outcome and those without, and were not associated with outcomes in unadjusted and adjusted logistic regression analyses., Conclusions: Pathologic findings on LUS were common a median of 3 d after admission in this cohort of non-ICU hospitalized subjects with COVID-19 and did not differ among subjects who experienced the composite outcome of incident ARDS, ICU admission, and all-cause mortality compared to subjects who did not. These findings should be confirmed in future investigations. The study is registered at Clinicaltrials.gov (NCT04377035)., Competing Interests: Dr Biering-Sørensen discloses relationships with Sanofi Pasteur, GE Healthcare, Amgen, and Novartis. Dr Platz discloses relationships with the National Institutes of Health and Novartis. Dr Ulrik discloses relationships with AstraZeneca, Boehringer Ingelheim, GlaxoSmithKline, Teva Pharmaceutical, Orion, Novartis, Actelion, Mundipharma, Sanofi Genzyme, ALK- Abelló, and Chiesi. The remaining authors have disclosed no conflicts of interest., (Copyright © 2022 by Daedalus Enterprises.)

Published
2022
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43. A Ten-year Report of Drug and Poison Information Center in Mashhad, Iran 2007-2017.

Author

Maruzi A, Sabbaghian-Tousi S, Karimi G, Jabbari R, and Elyasi S

Abstract

The Mashhad drug and poison information center (MDPIC) was officially established in 2000 to provide up-to-date information on medications. The objective of this study is to provide an epidemiologic profile of drug inquiry and poisoning-related phone calls to MDPIC from 2007 to 2017. This article is a descriptive retrospective study in which all inquiries about drugs and poisoning cases received by MDPIC, from 1 st January 2007 to 31 st December 2017, were retrieved from its database for analysis. A total of 100997 cases were analyzed. The most frequent calls were from individuals in the age group of 18 to 60 years old (70.21%). The majority of callers were women (73.08%). The public made 95.11% of calls, and 4.89% were related to health care professionals. The queries were mainly related to therapeutic uses of drugs (24.03%), followed by adverse drug reactions (18.96%). Given that 99.23% of calls were related to drug information inquiries, the most common drugs questioned about were antimicrobial (12.3%) and vitamin and minerals (10.76%), whereas 0.77% of calls were about poisoning and the majority of them were due to drugs poisoning. Micromedex® was the most commonly used reference to answer the inquiries. This report shows an updated epidemiological evaluation on recorded calls in the drug and poison information center in Mashhad. Since there is no other similar report, this can provide valuable information on the trend of drug usage and may guide further strategies in giving proper information to public and health centers.

Published
2021
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44. Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients.

Author

Maleckar MM, Myklebust L, Uv J, Florvaag PM, Strøm V, Glinge C, Jabbari R, Vejlstrup N, Engstrøm T, Ahtarovski K, Jespersen T, Tfelt-Hansen J, Naumova V, and Arevalo H

Abstract

Background: Remodeling due to myocardial infarction (MI) significantly increases patient arrhythmic risk. Simulations using patient-specific models have shown promise in predicting personalized risk for arrhythmia. However, these are computationally- and time- intensive, hindering translation to clinical practice. Classical machine learning (ML) algorithms (such as K-nearest neighbors, Gaussian support vector machines, and decision trees) as well as neural network techniques, shown to increase prediction accuracy, can be used to predict occurrence of arrhythmia as predicted by simulations based solely on infarct and ventricular geometry. We present an initial combined image-based patient-specific in silico and machine learning methodology to assess risk for dangerous arrhythmia in post-infarct patients. Furthermore, we aim to demonstrate that simulation-supported data augmentation improves prediction models, combining patient data, computational simulation, and advanced statistical modeling, improving overall accuracy for arrhythmia risk assessment. Methods: MRI-based computational models were constructed from 30 patients 5 days post-MI (the "baseline" population). In order to assess the utility biophysical model-supported data augmentation for improving arrhythmia prediction, we augmented the virtual baseline patient population. Each patient ventricular and ischemic geometry in the baseline population was used to create a subfamily of geometric models, resulting in an expanded set of patient models (the "augmented" population). Arrhythmia induction was attempted via programmed stimulation at 17 sites for each virtual patient corresponding to AHA LV segments and simulation outcome, "arrhythmia," or "no-arrhythmia," were used as ground truth for subsequent statistical prediction (machine learning, ML) models. For each patient geometric model, we measured and used choice data features: the myocardial volume and ischemic volume, as well as the segment-specific myocardial volume and ischemia percentage, as input to ML algorithms. For classical ML techniques (ML), we trained k-nearest neighbors, support vector machine, logistic regression, xgboost, and decision tree models to predict the simulation outcome from these geometric features alone. To explore neural network ML techniques, we trained both a three - and a four-hidden layer multilayer perceptron feed forward neural networks (NN), again predicting simulation outcomes from these geometric features alone. ML and NN models were trained on 70% of randomly selected segments and the remaining 30% was used for validation for both baseline and augmented populations. Results: Stimulation in the baseline population (30 patient models) resulted in reentry in 21.8% of sites tested; in the augmented population (129 total patient models) reentry occurred in 13.0% of sites tested. ML and NN models ranged in mean accuracy from 0.83 to 0.86 for the baseline population, improving to 0.88 to 0.89 in all cases. Conclusion: Machine learning techniques, combined with patient-specific, image-based computational simulations, can provide key clinical insights with high accuracy rapidly and efficiently. In the case of sparse or missing patient data, simulation-supported data augmentation can be employed to further improve predictive results for patient benefit. This work paves the way for using data-driven simulations for prediction of dangerous arrhythmia in MI patients., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Maleckar, Myklebust, Uv, Florvaag, Strøm, Glinge, Jabbari, Vejlstrup, Engstrøm, Ahtarovski, Jespersen, Tfelt-Hansen, Naumova and Arevalo.)

Published
2021
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45. Recovery of cardiac function following COVID-19 - ECHOVID-19: a prospective longitudinal cohort study.

Author

Lassen MCH, Skaarup KG, Lind JN, Alhakak AS, Sengeløv M, Nielsen AB, Simonsen JØ, Johansen ND, Davidovski FS, Christensen J, Bundgaard H, Hassager C, Jabbari R, Carlsen J, Kirk O, Lindholm MG, Kristiansen OP, Nielsen OW, Ulrik CS, Sivapalan P, Gislason G, Møgelvang R, Jensen GB, Schnohr P, Søgaard P, Solomon SD, Iversen K, Jensen JUS, Schou M, and Biering-Sørensen T

Subjects
Aged, Cohort Studies, Female, Humans, Longitudinal Studies, Male, Middle Aged, Prospective Studies, SARS-CoV-2, Ventricular Function, Right, COVID-19, Heart Failure, Ventricular Dysfunction, Right
Abstract

Aims: The degree of cardiovascular sequelae following COVID-19 remains unknown. The aim of this study was to investigate whether cardiac function recovers following COVID-19., Methods and Results: A consecutive sample of patients hospitalized with COVID-19 was prospectively included in this longitudinal study. All patients underwent an echocardiographic examination during hospitalization and 2 months later. All participants were successfully matched 1:1 with COVID-19-free controls by age and sex. A total of 91 patients were included (mean age 63 ± 12 years, 59% male). A median of 77 days (interquartile range: 72-92) passed between the two examinations. Right ventricular (RV) function improved following resolution of COVID-19: tricuspid annular plane systolic excursion (TAPSE) (2.28 ± 0.40 cm vs. 2.11 ± 0.38 cm, P < 0.001) and RV longitudinal strain (RVLS) (25.3 ± 5.5% vs. 19.9 ± 5.8%, P < 0.001). In contrast, left ventricular (LV) systolic function assessed by global longitudinal strain (GLS) did not significantly improve (17.4 ± 2.9% vs. 17.6 ± 3.3%, P = 0.6). N-terminal pro-B-type natriuretic peptide decreased between the two examinations [177.6 (80.3-408.0) ng/L vs. 11.7 (5.7-24.0) ng/L, P < 0.001]. None of the participants had elevated troponins at follow-up compared to 18 (27.7%) during hospitalization. Recovered COVID-19 patients had significantly lower GLS (17.4 ± 2.9% vs. 18.8 ± 2.9%, P < 0.001 and adjusted P = 0.004), TAPSE (2.28 ± 0.40 cm vs. 2.67 ± 0.44 cm, P < 0.001 and adjusted P < 0.001), and RVLS (25.3 ± 5.5% vs. 26.6 ± 5.8%, P = 0.50 and adjusted P < 0.001) compared to matched controls., Conclusion: Acute COVID-19 affected negatively RV function and cardiac biomarkers but recovered following resolution of COVID-19. In contrast, the observed reduced LV function during acute COVID-19 did not improve post-COVID-19. Compared to the matched controls, both LV and RV function remained impaired., (© 2021 European Society of Cardiology.)

Published
2021
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46. Development of a novel self-sanitizing mask prototype to combat the spread of infectious disease and reduce unnecessary waste.

Author

Crawford MJ, Ramezani S, Jabbari R, Pathak P, Cho HJ, Kim BN, and Choi H

Subjects
COVID-19 prevention & control, COVID-19 virology, Disinfection instrumentation, Humans, Influenza A Virus, H1N1 Subtype radiation effects, Mycobacterium tuberculosis radiation effects, SARS-CoV-2 isolation & purification, SARS-CoV-2 radiation effects, Ultraviolet Rays, Disinfection methods, Masks
Abstract

With the spread of COVID-19, significant emphasis has been placed on mitigation techniques such as mask wearing to slow infectious disease transmission. Widespread use of face coverings has revealed challenges such as mask contamination and waste, presenting an opportunity to improve the current technologies. In response, we have developed the Auto-sanitizing Retractable Mask Optimized for Reusability (ARMOR). ARMOR is a novel, reusable face covering that can be quickly disinfected using an array of ultraviolet C lamps contained within a wearable case. A nanomembrane UVC sensor was used to quantify the intensity of germicidal radiation at 18 different locations on the face covering and determine the necessary exposure time to inactivate SARS-CoV-2 in addition to other viruses and bacteria. After experimentation, it was found that ARMOR successfully provided germicidal radiation to all areas of the mask and will inactivate SARS-CoV-2 in approximately 180 s, H1N1 Influenza in 130 s, and Mycobacterium tuberculosis in 113 s, proving that this design is effective at eliminating a variety of pathogens and can serve as an alternative to traditional waste-producing disposable face masks. The accessibility, ease of use, and speed of sanitization supports the wide application of ARMOR in both clinical and public settings., (© 2021. The Author(s).)

Published
2021
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47. Low Birth Weight Increases the Risk of Sudden Cardiac Death in the Young: A Nationwide Study of 2.2 Million People.

Author

Waaler Loland V, Ågesen FN, Lynge TH, Pinborg A, Jabbari R, Warming PE, Pedersen MA, Risgaard B, Winkel BG, and Tfelt-Hansen J

Subjects
Adult, Cause of Death, Child, Correlation of Data, Denmark epidemiology, Female, Gestational Age, Heart Disease Risk Factors, Humans, Infant, Newborn, Male, Retrospective Studies, Risk Assessment methods, Arrhythmias, Cardiac diagnosis, Arrhythmias, Cardiac mortality, Death, Sudden, Cardiac epidemiology, Death, Sudden, Cardiac prevention & control, Fetal Macrosomia diagnosis, Fetal Macrosomia epidemiology, Infant, Low Birth Weight physiology, Infant, Small for Gestational Age physiology
Abstract

Background Sudden cardiac death (SCD) constitutes a major health problem worldwide. We investigated whether birth weight (BW), small for gestational age (SGA), and large for gestational age are associated with altered risk of SCD among the young (aged 1-36 years). Methods and Results We included all people born in Denmark from 1973 to 2008 utilizing the Danish Medical Birth Register. All SCDs in Denmark in 2000 to 2009 have previously been identified. We defined 5 BW groups, SGA, and large for gestational age as exposure and SCD as the outcome. We estimated the age-specific relative risk of SCD with 95% CI. Additionally, we investigated if SGA and large for gestational age are associated with pathological findings at autopsy. The study population for the BW analyses comprised 2 234 501 people with 389 SCD cases, and the SGA and large for gestational age analyses comprised 1 786 281 people with 193 SCD cases. The relative risk for SCD was 6.69 for people with BW between 1500 and 2499 g (95% CI, 2.38-18.80, P <0.001) and 5.89 for people with BW ≥4500 g (95% CI, 1.81-19.12, P =0.003) at age 5 years. BW 2500 to 3400 g was the reference group. Compared with an appropriate gestational age, the relative risk for SGA was 2.85 (95% CI, 1.35-6.00, P =0.006) at age 10 years. For the autopsied cases, the relative risk of sudden arrhythmic death syndrome at age 5 years was 4.19 for SGA (95% CI, 1.08-16.22, P =0.038). Conclusions We found an association between BW and SCD in the young, with an increased risk among SGA infants. In addition, we found an association between SGA and sudden arrhythmic death syndrome.

Published
2021
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49. Echocardiographic abnormalities and predictors of mortality in hospitalized COVID-19 patients: the ECHOVID-19 study.

Author

Lassen MCH, Skaarup KG, Lind JN, Alhakak AS, Sengeløv M, Nielsen AB, Espersen C, Ravnkilde K, Hauser R, Schöps LB, Holt E, Johansen ND, Modin D, Djernaes K, Graff C, Bundgaard H, Hassager C, Jabbari R, Carlsen J, Lebech AM, Kirk O, Bodtger U, Lindholm MG, Joseph G, Wiese L, Schiødt FV, Kristiansen OP, Walsted ES, Nielsen OW, Madsen BL, Tønder N, Benfield T, Jeschke KN, Ulrik CS, Knop FK, Lamberts M, Sivapalan P, Gislason G, Marott JL, Møgelvang R, Jensen G, Schnohr P, Søgaard P, Solomon SD, Iversen K, Jensen JUS, Schou M, and Biering-Sørensen T

Abstract

Aims: The present study had two aims: (i) compare echocardiographic parameters in COVID-19 patients with matched controls and (2) assess the prognostic value of measures of left (LV) and right ventricular (RV) function in relation to COVID-19 related death., Methods and Results: In this prospective multicentre cohort study, 214 consecutive hospitalized COVID-19 patients underwent an echocardiographic examination (by pre-determined research protocol). All participants were successfully matched 1:1 with controls from the general population on age, sex, and hypertension. Mean age of the study sample was 69 years, and 55% were male participants. LV and RV systolic function was significantly reduced in COVID-19 cases as assessed by global longitudinal strain (GLS) (16.4% ± 4.3 vs. 18.5% ± 3.0, P < 0.001), tricuspid annular plane systolic excursion (TAPSE) (2.0 ± 0.4 vs. 2.6 ± 0.5, P < 0.001), and RV strain (19.8 ± 5.9 vs. 24.2 ± 6.5, P = 0.004). All parameters remained significantly reduced after adjusting for important cardiac risk factors. During follow-up (median: 40 days), 25 COVID-19 cases died. In multivariable Cox regression reduced TAPSE [hazard ratio (HR) = 1.18, 95% confidence interval (CI) [1.07-1.31], P = 0.002, per 1 mm decrease], RV strain (HR = 1.64, 95%CI[1.02;2.66], P = 0.043, per 1% decrease) and GLS (HR = 1.20, 95%CI[1.07-1.35], P = 0.002, per 1% decrease) were significantly associated with COVID-19-related death. TAPSE and GLS remained significantly associated with the outcome after restricting the analysis to patients without prevalent heart disease., Conclusions: RV and LV function are significantly impaired in hospitalized COVID-19 patients compared with matched controls. Furthermore, reduced TAPSE and GLS are independently associated with COVID-19-related death., (© 2020 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology.)

Published
2020
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50. Myocardial Impairment and Acute Respiratory Distress Syndrome in Hospitalized Patients With COVID-19: The ECHOVID-19 Study.

Author

Skaarup KG, Lassen MCH, Lind JN, Alhakak AS, Sengeløv M, Nielsen AB, Espersen C, Hauser R, Schöps LB, Holt E, Johansen ND, Modin D, Sharma S, Graff C, Bundgaard H, Hassager C, Jabbari R, Lebech AM, Kirk O, Bødtger U, Lindholm MG, Joseph G, Wiese L, Schiødt FV, Kristiansen OP, Walsted ES, Nielsen OW, Madsen BL, Tønder N, Benfield TL, Jeschke KN, Ulrik CS, Knop FK, Pallisgaard J, Lamberts M, Sivapalan P, Gislason G, Solomon SD, Iversen K, Jensen JUS, Schou M, and Biering-Sørensen T

Subjects
Aged, Aged, 80 and over, COVID-19 diagnosis, Denmark, Female, Heart Diseases epidemiology, Heart Diseases physiopathology, Humans, Male, Middle Aged, Predictive Value of Tests, Prevalence, Prognosis, Prospective Studies, Risk Assessment, Risk Factors, COVID-19 epidemiology, Echocardiography, Heart Diseases diagnostic imaging, Hospitalization
Published
2020
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