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553 results on '"Macfarlane, P W"'

3. Socioeconomic deprivation and illness trajectory in the Scottish population after COVID-19 hospitalization

Author

Morrow, Andrew J., Sykes, Robert, Saleh, Merna, Zahra, Baryab, MacIntosh, Alasdair, Kamdar, Anna, Bagot, Catherine, Bayes, Hannah K., Blyth, Kevin G., Bulluck, Heerajnarain, Carrick, David, Church, Colin, Corcoran, David, Findlay, Iain, Gibson, Vivienne B., Gillespie, Lynsey, Grieve, Douglas, Barrientos, Pauline Hall, Ho, Antonia, Lang, Ninian N., Lowe, David J., Lennie, Vera, Macfarlane, Peter W., Mayne, Kaitlin J., Mark, Patrick B., McConnachie, Alex, McGeoch, Ross, Nordin, Sabrina, Payne, Alexander, Rankin, Alastair J., Robertson, Keith, Ryan, Nicola, Roditi, Giles, Sattar, Naveed, Stobo, David, Allwood-Spiers, Sarah, Touyz, Rhian M., Veldtman, Gruschen, Weeden, Sarah, Weir, Robin, Watkins, Stuart, Welsh, Paul, Mangion, Kenneth, and Berry, Colin

Published
2024
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4. Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease.

Author

Young, William J, Haessler, Jeffrey, Benjamins, Jan-Walter, Repetto, Linda, Yao, Jie, Isaacs, Aaron, Harper, Andrew R, Ramirez, Julia, Garnier, Sophie, van Duijvenboden, Stefan, Baldassari, Antoine R, Concas, Maria Pina, Duong, ThuyVy, Foco, Luisa, Isaksen, Jonas L, Mei, Hao, Noordam, Raymond, Nursyifa, Casia, Richmond, Anne, Santolalla, Meddly L, Sitlani, Colleen M, Soroush, Negin, Thériault, Sébastien, Trompet, Stella, Aeschbacher, Stefanie, Ahmadizar, Fariba, Alonso, Alvaro, Brody, Jennifer A, Campbell, Archie, Correa, Adolfo, Darbar, Dawood, De Luca, Antonio, Deleuze, Jean-François, Ellervik, Christina, Fuchsberger, Christian, Goel, Anuj, Grace, Christopher, Guo, Xiuqing, Hansen, Torben, Heckbert, Susan R, Jackson, Rebecca D, Kors, Jan A, Lima-Costa, Maria Fernanda, Linneberg, Allan, Macfarlane, Peter W, Morrison, Alanna C, Navarro, Pau, Porteous, David J, Pramstaller, Peter P, Reiner, Alexander P, Risch, Lorenz, Schotten, Ulrich, Shen, Xia, Sinagra, Gianfranco, Soliman, Elsayed Z, Stoll, Monika, Tarazona-Santos, Eduardo, Tinker, Andrew, Trajanoska, Katerina, Villard, Eric, Warren, Helen R, Whitsel, Eric A, Wiggins, Kerri L, Arking, Dan E, Avery, Christy L, Conen, David, Girotto, Giorgia, Grarup, Niels, Hayward, Caroline, Jukema, J Wouter, Mook-Kanamori, Dennis O, Olesen, Morten Salling, Padmanabhan, Sandosh, Psaty, Bruce M, Pattaro, Cristian, Ribeiro, Antonio Luiz P, Rotter, Jerome I, Stricker, Bruno H, van der Harst, Pim, van Duijn, Cornelia M, Verweij, Niek, Wilson, James G, Orini, Michele, Charron, Philippe, Watkins, Hugh, Kooperberg, Charles, Lin, Henry J, Wilson, James F, Kanters, Jørgen K, Sotoodehnia, Nona, Mifsud, Borbala, Lambiase, Pier D, Tereshchenko, Larisa G, and Munroe, Patricia B

Subjects
Humans, Cardiovascular Diseases, Electrocardiography, Risk Factors, Arrhythmias, Cardiac, Atrioventricular Block, Genome-Wide Association Study, Biomarkers, Human Genome, Cardiovascular, Genetics, Heart Disease
Abstract

The 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic influences with PR interval and QRS duration. Phenome-wide scanning indicate associations with atrial fibrillation, atrioventricular block and arterial embolism and genetically determined QRS-T angle measures are associated with fascicular and bundle branch block (and also atrioventricular block for the frontal QRS-T angle). We identify potential biology involved in the QRS-T angle and their genetic relationships with cardiovascular traits and diseases, may inform future research and risk prediction.

Published
2023

7. Genetic insights into resting heart rate and its role in cardiovascular disease

Author

van de Vegte, Yordi J., Eppinga, Ruben N., van der Ende, M. Yldau, Hagemeijer, Yanick P., Mahendran, Yuvaraj, Salfati, Elias, Smith, Albert V., Tan, Vanessa Y., Arking, Dan E., Ntalla, Ioanna, Appel, Emil V., Schurmann, Claudia, Brody, Jennifer A., Rueedi, Rico, Polasek, Ozren, Sveinbjornsson, Gardar, Lecoeur, Cecile, Ladenvall, Claes, Zhao, Jing Hua, Isaacs, Aaron, Wang, Lihua, Luan, Jian’an, Hwang, Shih-Jen, Mononen, Nina, Auro, Kirsi, Jackson, Anne U., Bielak, Lawrence F., Zeng, Linyao, Shah, Nabi, Nethander, Maria, Campbell, Archie, Rankinen, Tuomo, Pechlivanis, Sonali, Qi, Lu, Zhao, Wei, Rizzi, Federica, Tanaka, Toshiko, Robino, Antonietta, Cocca, Massimiliano, Lange, Leslie, Müller-Nurasyid, Martina, Roselli, Carolina, Zhang, Weihua, Kleber, Marcus E., Guo, Xiuqing, Lin, Henry J., Pavani, Francesca, Galesloot, Tessel E., Noordam, Raymond, Milaneschi, Yuri, Schraut, Katharina E., den Hoed, Marcel, Degenhardt, Frauke, Trompet, Stella, van den Berg, Marten E., Pistis, Giorgio, Tham, Yih-Chung, Weiss, Stefan, Sim, Xueling S., Li, Hengtong L., van der Most, Peter J., Nolte, Ilja M., Lyytikäinen, Leo-Pekka, Said, M. Abdullah, Witte, Daniel R., Iribarren, Carlos, Launer, Lenore, Ring, Susan M., de Vries, Paul S., Sever, Peter, Linneberg, Allan, Bottinger, Erwin P., Padmanabhan, Sandosh, Psaty, Bruce M., Sotoodehnia, Nona, Kolcic, Ivana, Arnar, David O., Gudbjartsson, Daniel F., Holm, Hilma, Balkau, Beverley, Silva, Claudia T., Newton-Cheh, Christopher H., Nikus, Kjell, Salo, Perttu, Mohlke, Karen L., Peyser, Patricia A., Schunkert, Heribert, Lorentzon, Mattias, Lahti, Jari, Rao, Dabeeru C., Cornelis, Marilyn C., Faul, Jessica D., Smith, Jennifer A., Stolarz-Skrzypek, Katarzyna, Bandinelli, Stefania, Concas, Maria Pina, Sinagra, Gianfranco, Meitinger, Thomas, Waldenberger, Melanie, Sinner, Moritz F., Strauch, Konstantin, Delgado, Graciela E., Taylor, Kent D., Yao, Jie, Foco, Luisa, Melander, Olle, de Graaf, Jacqueline, de Mutsert, Renée, de Geus, Eco J. C., Johansson, Åsa, Joshi, Peter K., Lind, Lars, Franke, Andre, Macfarlane, Peter W., Tarasov, Kirill V., Tan, Nicholas, Felix, Stephan B., Tai, E-Shyong, Quek, Debra Q., Snieder, Harold, Ormel, Johan, Ingelsson, Martin, Lindgren, Cecilia, Morris, Andrew P., Raitakari, Olli T., Hansen, Torben, Assimes, Themistocles, Gudnason, Vilmundur, Timpson, Nicholas J., Morrison, Alanna C., Munroe, Patricia B., Strachan, David P., Grarup, Niels, Loos, Ruth J. F., Heckbert, Susan R., Vollenweider, Peter, Hayward, Caroline, Stefansson, Kari, Froguel, Philippe, Groop, Leif, Wareham, Nicholas J., van Duijn, Cornelia M., Feitosa, Mary F., O’Donnell, Christopher J., Kähönen, Mika, Perola, Markus, Boehnke, Michael, Kardia, Sharon L. R., Erdmann, Jeanette, Palmer, Colin N. A., Ohlsson, Claes, Porteous, David J., Eriksson, Johan G., Bouchard, Claude, Moebus, Susanne, Kraft, Peter, Weir, David R., Cusi, Daniele, Ferrucci, Luigi, Ulivi, Sheila, Girotto, Giorgia, Correa, Adolfo, Kääb, Stefan, Peters, Annette, Chambers, John C., Kooner, Jaspal S., März, Winfried, Rotter, Jerome I., Hicks, Andrew A., Smith, J. Gustav, Kiemeney, Lambertus A. L. M., Mook-Kanamori, Dennis O., Penninx, Brenda W. J. H., Gyllensten, Ulf, Wilson, James F., Burgess, Stephen, Sundström, Johan, Lieb, Wolfgang, Jukema, J. Wouter, Eijgelsheim, Mark, Lakatta, Edward L. M., Cheng, Ching-Yu, Dörr, Marcus, Wong, Tien-Yin, Sabanayagam, Charumathi, Oldehinkel, Albertine J., Riese, Harriette, Lehtimäki, Terho, Verweij, Niek, and van der Harst, Pim

Published
2023
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8. Automatic diagnosis of the 12-lead ECG using a deep neural network

Author

Ribeiro, Antônio H., Ribeiro, Manoel Horta, Paixão, Gabriela M. M., Oliveira, Derick M., Gomes, Paulo R., Canazart, Jéssica A., Ferreira, Milton P. S., Andersson, Carl R., Macfarlane, Peter W., Meira Jr., Wagner, Schön, Thomas B., and Ribeiro, Antonio Luiz P.

Subjects
Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing, Statistics - Machine Learning
Abstract

The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accuracy of existing models. Deep Neural Networks (DNNs) are models composed of stacked transformations that learn tasks by examples. This technology has recently achieved striking success in a variety of task and there are great expectations on how it might improve clinical practice. Here we present a DNN model trained in a dataset with more than 2 million labeled exams analyzed by the Telehealth Network of Minas Gerais and collected under the scope of the CODE (Clinical Outcomes in Digital Electrocardiology) study. The DNN outperform cardiology resident medical doctors in recognizing 6 types of abnormalities in 12-lead ECG recordings, with F1 scores above 80% and specificity over 99%. These results indicate ECG analysis based on DNNs, previously studied in a single-lead setup, generalizes well to 12-lead exams, taking the technology closer to the standard clinical practice., Comment: A preliminary version of this work titled: "Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network " was presented in the Machine Learning for Health Workshop at NeurIPS 2018 and was made available under a different identifier: arXiv:1811.12194. The current version subsumes all previous versions

Published
2019
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9. A multisystem, cardio-renal investigation of post-COVID-19 illness

Author

Morrow, Andrew J., Sykes, Robert, McIntosh, Alasdair, Kamdar, Anna, Bagot, Catherine, Bayes, Hannah K., Blyth, Kevin G., Briscoe, Michael, Bulluck, Heerajnarain, Carrick, David, Church, Colin, Corcoran, David, Findlay, Iain, Gibson, Vivienne B., Gillespie, Lynsey, Grieve, Douglas, Hall Barrientos, Pauline, Ho, Antonia, Lang, Ninian N., Lennie, Vera, Lowe, David J., Macfarlane, Peter W., Mark, Patrick B., Mayne, Kaitlin J., McConnachie, Alex, McGeoch, Ross, McGinley, Christopher, McKee, Connor, Nordin, Sabrina, Payne, Alexander, Rankin, Alastair J., Robertson, Keith E., Roditi, Giles, Ryan, Nicola, Sattar, Naveed, Allwood-Spiers, Sarah, Stobo, David, Touyz, Rhian M., Veldtman, Gruschen, Watkins, Stuart, Weeden, Sarah, Weir, Robin A., Welsh, Paul, Wereski, Ryan, Mangion, Kenneth, and Berry, Colin

Published
2022
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10. PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity

Author

van Setten, Jessica, Brody, Jennifer A, Jamshidi, Yalda, Swenson, Brenton R, Butler, Anne M, Campbell, Harry, Del Greco, Fabiola M, Evans, Daniel S, Gibson, Quince, Gudbjartsson, Daniel F, Kerr, Kathleen F, Krijthe, Bouwe P, Lyytikäinen, Leo-Pekka, Müller, Christian, Müller-Nurasyid, Martina, Nolte, Ilja M, Padmanabhan, Sandosh, Ritchie, Marylyn D, Robino, Antonietta, Smith, Albert V, Steri, Maristella, Tanaka, Toshiko, Teumer, Alexander, Trompet, Stella, Ulivi, Sheila, Verweij, Niek, Yin, Xiaoyan, Arnar, David O, Asselbergs, Folkert W, Bader, Joel S, Barnard, John, Bis, Josh, Blankenberg, Stefan, Boerwinkle, Eric, Bradford, Yuki, Buckley, Brendan M, Chung, Mina K, Crawford, Dana, den Hoed, Marcel, Denny, Josh C, Dominiczak, Anna F, Ehret, Georg B, Eijgelsheim, Mark, Ellinor, Patrick T, Felix, Stephan B, Franco, Oscar H, Franke, Lude, Harris, Tamara B, Holm, Hilma, Ilaria, Gandin, Iorio, Annamaria, Kähönen, Mika, Kolcic, Ivana, Kors, Jan A, Lakatta, Edward G, Launer, Lenore J, Lin, Honghuang, Lin, Henry J, Loos, Ruth JF, Lubitz, Steven A, Macfarlane, Peter W, Magnani, Jared W, Leach, Irene Mateo, Meitinger, Thomas, Mitchell, Braxton D, Munzel, Thomas, Papanicolaou, George J, Peters, Annette, Pfeufer, Arne, Pramstaller, Peter P, Raitakari, Olli T, Rotter, Jerome I, Rudan, Igor, Samani, Nilesh J, Schlessinger, David, Silva Aldana, Claudia T, Sinner, Moritz F, Smith, Jonathan D, Snieder, Harold, Soliman, Elsayed Z, Spector, Timothy D, Stott, David J, Strauch, Konstantin, Tarasov, Kirill V, Thorsteinsdottir, Unnur, Uitterlinden, Andre G, Van Wagoner, David R, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Jan Westra, Harm, Wild, Philipp S, Zeller, Tanja, Alonso, Alvaro, Avery, Christy L, Bandinelli, Stefania, Benjamin, Emelia J, Cucca, Francesco, Dörr, Marcus, and Ferrucci, Luigi

Subjects
Biological Sciences, Genetics, Human Genome, Heart Disease, Biotechnology, Cardiovascular, Aetiology, 2.1 Biological and endogenous factors, Atrial Function, Atrioventricular Node, Electrocardiography, Electrophysiological Phenomena, Female, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Male, Mutation, Missense, Risk Factors
Abstract

Electrocardiographic PR interval measures atrio-ventricular depolarization and conduction, and abnormal PR interval is a risk factor for atrial fibrillation and heart block. Our genome-wide association study of over 92,000 European-descent individuals identifies 44 PR interval loci (34 novel). Examination of these loci reveals known and previously not-yet-reported biological processes involved in cardiac atrial electrical activity. Genes in these loci are over-represented in cardiac disease processes including heart block and atrial fibrillation. Variants in over half of the 44 loci were associated with atrial or blood transcript expression levels, or were in high linkage disequilibrium with missense variants. Six additional loci were identified either by meta-analysis of ~105,000 African and European-descent individuals and/or by pleiotropic analyses combining PR interval with heart rate, QRS interval, and atrial fibrillation. These findings implicate developmental pathways, and identify transcription factors, ion-channel genes, and cell-junction/cell-signaling proteins in atrio-ventricular conduction, identifying potential targets for drug development.

Published
2018

11. Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Author

Young, William J., Lahrouchi, Najim, Isaacs, Aaron, Duong, ThuyVy, Foco, Luisa, Ahmed, Farah, Brody, Jennifer A., Salman, Reem, Noordam, Raymond, Benjamins, Jan-Walter, Haessler, Jeffrey, Lyytikäinen, Leo-Pekka, Repetto, Linda, Concas, Maria Pina, van den Berg, Marten E., Weiss, Stefan, Baldassari, Antoine R., Bartz, Traci M., Cook, James P., Evans, Daniel S., Freudling, Rebecca, Hines, Oliver, Isaksen, Jonas L., Lin, Honghuang, Mei, Hao, Moscati, Arden, Müller-Nurasyid, Martina, Nursyifa, Casia, Qian, Yong, Richmond, Anne, Roselli, Carolina, Ryan, Kathleen A., Tarazona-Santos, Eduardo, Thériault, Sébastien, van Duijvenboden, Stefan, Warren, Helen R., Yao, Jie, Raza, Dania, Aeschbacher, Stefanie, Ahlberg, Gustav, Alonso, Alvaro, Andreasen, Laura, Bis, Joshua C., Boerwinkle, Eric, Campbell, Archie, Catamo, Eulalia, Cocca, Massimiliano, Cutler, Michael J., Darbar, Dawood, De Grandi, Alessandro, De Luca, Antonio, Ding, Jun, Ellervik, Christina, Ellinor, Patrick T., Felix, Stephan B., Froguel, Philippe, Fuchsberger, Christian, Gögele, Martin, Graff, Claus, Graff, Mariaelisa, Guo, Xiuqing, Hansen, Torben, Heckbert, Susan R., Huang, Paul L., Huikuri, Heikki V., Hutri-Kähönen, Nina, Ikram, M. Arfan, Jackson, Rebecca D., Junttila, Juhani, Kavousi, Maryam, Kors, Jan A., Leal, Thiago P., Lemaitre, Rozenn N., Lin, Henry J., Lind, Lars, Linneberg, Allan, Liu, Simin, MacFarlane, Peter W., Mangino, Massimo, Meitinger, Thomas, Mezzavilla, Massimo, Mishra, Pashupati P., Mitchell, Rebecca N., Mononen, Nina, Montasser, May E., Morrison, Alanna C., Nauck, Matthias, Nauffal, Victor, Navarro, Pau, Nikus, Kjell, Pare, Guillaume, Patton, Kristen K., Pelliccione, Giulia, Pittman, Alan, Porteous, David J., Pramstaller, Peter P., Preuss, Michael H., Raitakari, Olli T., Reiner, Alexander P., Ribeiro, Antonio Luiz P., Rice, Kenneth M., Risch, Lorenz, Schlessinger, David, Schotten, Ulrich, Schurmann, Claudia, Shen, Xia, Shoemaker, M. Benjamin, Sinagra, Gianfranco, Sinner, Moritz F., Soliman, Elsayed Z., Stoll, Monika, Strauch, Konstantin, Tarasov, Kirill, Taylor, Kent D., Tinker, Andrew, Trompet, Stella, Uitterlinden, André, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Weng, Lu-Chen, Whitsel, Eric A., Wilson, James G., Avery, Christy L., Conen, David, Correa, Adolfo, Cucca, Francesco, Dörr, Marcus, Gharib, Sina A., Girotto, Giorgia, Grarup, Niels, Hayward, Caroline, Jamshidi, Yalda, Järvelin, Marjo-Riitta, Jukema, J. Wouter, Kääb, Stefan, Kähönen, Mika, Kanters, Jørgen K., Kooperberg, Charles, Lehtimäki, Terho, Lima-Costa, Maria Fernanda, Liu, Yongmei, Loos, Ruth J. F., Lubitz, Steven A., Mook-Kanamori, Dennis O., Morris, Andrew P., O’Connell, Jeffrey R., Olesen, Morten Salling, Orini, Michele, Padmanabhan, Sandosh, Pattaro, Cristian, Peters, Annette, Psaty, Bruce M., Rotter, Jerome I., Stricker, Bruno, van der Harst, Pim, van Duijn, Cornelia M., Verweij, Niek, Wilson, James F., Arking, Dan E., Ramirez, Julia, Lambiase, Pier D., Sotoodehnia, Nona, Mifsud, Borbala, Newton-Cheh, Christopher, and Munroe, Patricia B.

Published
2022
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12. Discovery of novel heart rate-associated loci using the Exome Chip

Author

van den Berg, Marten E, Warren, Helen R, Cabrera, Claudia P, Verweij, Niek, Mifsud, Borbala, Haessler, Jeffrey, Bihlmeyer, Nathan A, Fu, Yi-Ping, Weiss, Stefan, Lin, Henry J, Grarup, Niels, Li-Gao, Ruifang, Pistis, Giorgio, Shah, Nabi, Brody, Jennifer A, Müller-Nurasyid, Martina, Lin, Honghuang, Mei, Hao, Smith, Albert V, Lyytikäinen, Leo-Pekka, Hall, Leanne M, van Setten, Jessica, Trompet, Stella, Prins, Bram P, Isaacs, Aaron, Radmanesh, Farid, Marten, Jonathan, Entwistle, Aiman, Kors, Jan A, Silva, Claudia T, Alonso, Alvaro, Bis, Joshua C, de Boer, Rudolf, de Haan, Hugoline G, de Mutsert, Renée, Dedoussis, George, Dominiczak, Anna F, Doney, Alex SF, Ellinor, Patrick T, Eppinga, Ruben N, Felix, Stephan B, Guo, Xiuqing, Hagemeijer, Yanick, Hansen, Torben, Harris, Tamara B, Heckbert, Susan R, Huang, Paul L, Hwang, Shih-Jen, Kähönen, Mika, Kanters, Jørgen K, Kolcic, Ivana, Launer, Lenore J, Li, Man, Yao, Jie, Linneberg, Allan, Liu, Simin, Macfarlane, Peter W, Mangino, Massimo, Morris, Andrew D, Mulas, Antonella, Murray, Alison D, Nelson, Christopher P, Orrú, Marco, Padmanabhan, Sandosh, Peters, Annette, Porteous, David J, Poulter, Neil, Psaty, Bruce M, Qi, Lihong, Raitakari, Olli T, Rivadeneira, Fernando, Roselli, Carolina, Rudan, Igor, Sattar, Naveed, Sever, Peter, Sinner, Moritz F, Soliman, Elsayed Z, Spector, Timothy D, Stanton, Alice V, Stirrups, Kathleen E, Taylor, Kent D, Tobin, Martin D, Uitterlinden, André, Vaartjes, Ilonca, Hoes, Arno W, van der Meer, Peter, Völker, Uwe, Waldenberger, Melanie, Xie, Zhijun, Zoledziewska, Magdalena, Tinker, Andrew, Polasek, Ozren, Rosand, Jonathan, Jamshidi, Yalda, van Duijn, Cornelia M, Zeggini, Eleftheria, Jukema, J Wouter, Asselbergs, Folkert W, Samani, Nilesh J, and Lehtimäki, Terho

Subjects
Biological Sciences, Genetics, Human Genome, Biotechnology, Heart Disease, Prevention, Cardiovascular, Stem Cell Research, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Adult, Alleles, Exome, Female, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Heart Rate, Humans, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Risk Factors, White People, Medical and Health Sciences, Genetics & Heredity
Abstract

Resting heart rate is a heritable trait, and an increase in heart rate is associated with increased mortality risk. Genome-wide association study analyses have found loci associated with resting heart rate, at the time of our study these loci explained 0.9% of the variation. This study aims to discover new genetic loci associated with heart rate from Exome Chip meta-analyses.Heart rate was measured from either elecrtrocardiograms or pulse recordings. We meta-analysed heart rate association results from 104 452 European-ancestry individuals from 30 cohorts, genotyped using the Exome Chip. Twenty-four variants were selected for follow-up in an independent dataset (UK Biobank, N = 134 251). Conditional and gene-based testing was undertaken, and variants were investigated with bioinformatics methods.We discovered five novel heart rate loci, and one new independent low-frequency non-synonymous variant in an established heart rate locus (KIAA1755). Lead variants in four of the novel loci are non-synonymous variants in the genes C10orf71, DALDR3, TESK2 and SEC31B. The variant at SEC31B is significantly associated with SEC31B expression in heart and tibial nerve tissue. Further candidate genes were detected from long-range regulatory chromatin interactions in heart tissue (SCD, SLF2 and MAPK8). We observed significant enrichment in DNase I hypersensitive sites in fetal heart and lung. Moreover, enrichment was seen for the first time in human neuronal progenitor cells (derived from embryonic stem cells) and fetal muscle samples by including our novel variants.Our findings advance the knowledge of the genetic architecture of heart rate, and indicate new candidate genes for follow-up functional studies.

Published
2017

13. Genetic Risk Prediction of Atrial Fibrillation

Author

Lubitz, Steven A, Yin, Xiaoyan, Lin, Henry J, Kolek, Matthew, Smith, J Gustav, Trompet, Stella, Rienstra, Michiel, Rost, Natalia S, Teixeira, Pedro L, Almgren, Peter, Anderson, Christopher D, Chen, Lin Y, Engström, Gunnar, Ford, Ian, Furie, Karen L, Guo, Xiuqing, Larson, Martin G, Lunetta, Kathryn L, Macfarlane, Peter W, Psaty, Bruce M, Soliman, Elsayed Z, Sotoodehnia, Nona, Stott, David J, Taylor, Kent D, Weng, Lu-Chen, Yao, Jie, Geelhoed, Bastiaan, Verweij, Niek, Siland, Joylene E, Kathiresan, Sekar, Roselli, Carolina, Roden, Dan M, van der Harst, Pim, Darbar, Dawood, Jukema, J Wouter, Melander, Olle, Rosand, Jonathan, Rotter, Jerome I, Heckbert, Susan R, Ellinor, Patrick T, Alonso, Alvaro, and Benjamin, Emelia J

Subjects
Epidemiology, Health Sciences, Stroke, Cardiovascular, Prevention, Brain Disorders, Heart Disease, Genetics, Clinical Research, Aged, Atrial Fibrillation, Female, Humans, Incidence, Male, Middle Aged, Risk Factors, atrial fibrillation, atrial flutter, forecasting, genetic association studies, stroke, AFGen Consortium, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences, Sports science and exercise
Abstract

BackgroundAtrial fibrillation (AF) has a substantial genetic basis. Identification of individuals at greatest AF risk could minimize the incidence of cardioembolic stroke.MethodsTo determine whether genetic data can stratify risk for development of AF, we examined associations between AF genetic risk scores and incident AF in 5 prospective studies comprising 18 919 individuals of European ancestry. We examined associations between AF genetic risk scores and ischemic stroke in a separate study of 509 ischemic stroke cases (202 cardioembolic [40%]) and 3028 referents. Scores were based on 11 to 719 common variants (≥5%) associated with AF at P values ranging from

Published
2017

14. 52 Genetic Loci Influencing Myocardial Mass

Author

van der Harst, Pim, van Setten, Jessica, Verweij, Niek, Vogler, Georg, Franke, Lude, Maurano, Matthew T, Wang, Xinchen, Leach, Irene Mateo, Eijgelsheim, Mark, Sotoodehnia, Nona, Hayward, Caroline, Sorice, Rossella, Meirelles, Osorio, Lyytikäinen, Leo-Pekka, Polašek, Ozren, Tanaka, Toshiko, Arking, Dan E, Ulivi, Sheila, Trompet, Stella, Müller-Nurasyid, Martina, Smith, Albert V, Dörr, Marcus, Kerr, Kathleen F, Magnani, Jared W, Del Greco M., Fabiola, Zhang, Weihua, Nolte, Ilja M, Silva, Claudia T, Padmanabhan, Sandosh, Tragante, Vinicius, Esko, Tõnu, Abecasis, Gonçalo R, Adriaens, Michiel E, Andersen, Karl, Barnett, Phil, Bis, Joshua C, Bodmer, Rolf, Buckley, Brendan M, Campbell, Harry, Cannon, Megan V, Chakravarti, Aravinda, Chen, Lin Y, Delitala, Alessandro, Devereux, Richard B, Doevendans, Pieter A, Dominiczak, Anna F, Ferrucci, Luigi, Ford, Ian, Gieger, Christian, Harris, Tamara B, Haugen, Eric, Heinig, Matthias, Hernandez, Dena G, Hillege, Hans L, Hirschhorn, Joel N, Hofman, Albert, Hubner, Norbert, Hwang, Shih-Jen, Iorio, Annamaria, Kähönen, Mika, Kellis, Manolis, Kolcic, Ivana, Kooner, Ishminder K, Kooner, Jaspal S, Kors, Jan A, Lakatta, Edward G, Lage, Kasper, Launer, Lenore J, Levy, Daniel, Lundby, Alicia, Macfarlane, Peter W, May, Dalit, Meitinger, Thomas, Metspalu, Andres, Nappo, Stefania, Naitza, Silvia, Neph, Shane, Nord, Alex S, Nutile, Teresa, Okin, Peter M, Olsen, Jesper V, Oostra, Ben A, Penninger, Josef M, Pennacchio, Len A, Pers, Tune H, Perz, Siegfried, Peters, Annette, Pinto, Yigal M, Pfeufer, Arne, Pilia, Maria Grazia, Pramstaller, Peter P, Prins, Bram P, Raitakari, Olli T, Raychaudhuri, Soumya, Rice, Ken M, Rossin, Elizabeth J, Rotter, Jerome I, Schafer, Sebastian, Schlessinger, David, and Schmidt, Carsten O

Subjects
Medical Physiology, Biomedical and Clinical Sciences, Genetics, Heart Disease - Coronary Heart Disease, Cardiovascular, Heart Disease, Biotechnology, Human Genome, 2.1 Biological and endogenous factors, Animals, Cardiomegaly, Genetic Loci, Genome-Wide Association Study, Humans, electrocardiogram, genetic association study, heart failure, left ventricular hypertrophy, QRS, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundMyocardial mass is a key determinant of cardiac muscle function and hypertrophy. Myocardial depolarization leading to cardiac muscle contraction is reflected by the amplitude and duration of the QRS complex on the electrocardiogram (ECG). Abnormal QRS amplitude or duration reflect changes in myocardial mass and conduction, and are associated with increased risk of heart failure and death.ObjectivesThis meta-analysis sought to gain insights into the genetic determinants of myocardial mass.MethodsWe carried out a genome-wide association meta-analysis of 4 QRS traits in up to 73,518 individuals of European ancestry, followed by extensive biological and functional assessment.ResultsWe identified 52 genomic loci, of which 32 are novel, that are reliably associated with 1 or more QRS phenotypes at p < 1 × 10(-8). These loci are enriched in regions of open chromatin, histone modifications, and transcription factor binding, suggesting that they represent regions of the genome that are actively transcribed in the human heart. Pathway analyses provided evidence that these loci play a role in cardiac hypertrophy. We further highlighted 67 candidate genes at the identified loci that are preferentially expressed in cardiac tissue and associated with cardiac abnormalities in Drosophila melanogaster and Mus musculus. We validated the regulatory function of a novel variant in the SCN5A/SCN10A locus in vitro and in vivo.ConclusionsTaken together, our findings provide new insights into genes and biological pathways controlling myocardial mass and may help identify novel therapeutic targets.

Published
2016

15. Cutting Edge: Role of NK Cells and Surfactant Protein D in Dendritic Cell Lymph Node Homing: Effects of Ozone Exposure

Author

Ge, Moyar Qing, Kokalari, Blerina, Flayer, Cameron H, Killingbeck, Sarah S, Redai, Imre G, MacFarlane, Alexander W, Hwang, Jin W, Kolupoti, Anisha, Kemeny, Michael D, Campbell, Kerry S, and Haczku, Angela

Subjects
Biomedical and Clinical Sciences, Immunology, Lung, 2.1 Biological and endogenous factors, Aetiology, Inflammatory and immune system, Animals, Chemotaxis, Leukocyte, Dendritic Cells, Flow Cytometry, Interferon-gamma, Killer Cells, Natural, Lymph Nodes, Male, Mice, Mice, Inbred C57BL, Ozone, Pneumonia, Pulmonary Surfactant-Associated Protein D, Real-Time Polymerase Chain Reaction, Biochemistry and cell biology
Abstract

The roles of NK cells, surfactant protein D (SP-D), and IFN-γ, as well as the effect of ozone (O3) inhalation, were studied on recirculation of pulmonary dendritic cells (DC) to the mediastinal lymph nodes. O3 exposure and lack of SP-D reduced NK cell IFN-γ and lung tissue CCL21 mRNA expression and impaired DC homing to the mediastinal lymph nodes. Notably, addition of recombinant SP-D to naive mononuclear cells stimulated IFN-γ release in vitro. Because NKp46, a glycosylated membrane receptor, was necessary for dose-dependent SP-D binding to NK cells in vitro and DC migration in vivo, we speculate that SP-D may constitutively stimulate IFN-γ production by NK cells, possibly via NKp46. This mechanism could then initiate the IFN-γ/IL-12 feedback circuit, a key amplifier of DC lymph node homing. Inhibition of this process during an acute inflammatory response causes DC retention in the peripheral lung tissue and contributes to injury.

Published
2016

16. Gene-gene Interaction Analyses for Atrial Fibrillation

Author

Lin, Honghuang, Mueller-Nurasyid, Martina, Smith, Albert V, Arking, Dan E, Barnard, John, Bartz, Traci M, Lunetta, Kathryn L, Lohman, Kurt, Kleber, Marcus E, Lubitz, Steven A, Geelhoed, Bastiaan, Trompet, Stella, Niemeijer, Maartje N, Kacprowski, Tim, Chasman, Daniel I, Klarin, Derek, Sinner, Moritz F, Waldenberger, Melanie, Meitinger, Thomas, Harris, Tamara B, Launer, Lenore J, Soliman, Elsayed Z, Chen, Lin Y, Smith, Jonathan D, Van Wagoner, David R, Rotter, Jerome I, Psaty, Bruce M, Xie, Zhijun, Hendricks, Audrey E, Ding, Jingzhong, Delgado, Graciela E, Verweij, Niek, van der Harst, Pim, Macfarlane, Peter W, Ford, Ian, Hofman, Albert, Uitterlinden, André, Heeringa, Jan, Franco, Oscar H, Kors, Jan A, Weiss, Stefan, Völzke, Henry, Rose, Lynda M, Natarajan, Pradeep, Kathiresan, Sekar, Kääb, Stefan, Gudnason, Vilmundur, Alonso, Alvaro, Chung, Mina K, Heckbert, Susan R, Benjamin, Emelia J, Liu, Yongmei, März, Winfried, Rienstra, Michiel, Jukema, J Wouter, Stricker, Bruno H, Dörr, Marcus, Albert, Christine M, and Ellinor, Patrick T

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Heart Disease, Human Genome, Cardiovascular, Aetiology, 2.1 Biological and endogenous factors, Aged, Atrial Fibrillation, Cohort Studies, Epistasis, Genetic, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels, Male, Membrane Transport Proteins, Middle Aged, Multivariate Analysis, Muscle Proteins, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Potassium Channels
Abstract

Atrial fibrillation (AF) is a heritable disease that affects more than thirty million individuals worldwide. Extensive efforts have been devoted to the study of genetic determinants of AF. The objective of our study is to examine the effect of gene-gene interaction on AF susceptibility. We performed a large-scale association analysis of gene-gene interactions with AF in 8,173 AF cases, and 65,237 AF-free referents collected from 15 studies for discovery. We examined putative interactions between genome-wide SNPs and 17 known AF-related SNPs. The top interactions were then tested for association in an independent cohort for replication, which included more than 2,363 AF cases and 114,746 AF-free referents. One interaction, between rs7164883 at the HCN4 locus and rs4980345 at the SLC28A1 locus, was found to be significantly associated with AF in the discovery cohorts (interaction OR = 1.44, 95% CI: 1.27-1.65, P = 4.3 × 10-8). Eight additional gene-gene interactions were also marginally significant (P

Published
2016

17. Demographic, multi-morbidity and genetic impact on myocardial involvement and its recovery from COVID-19: protocol design of COVID-HEART—a UK, multicentre, observational study

Author

Gorecka, Miroslawa, McCann, Gerry P., Berry, Colin, Ferreira, Vanessa M., Moon, James C., Miller, Christopher A., Chiribiri, Amedeo, Prasad, Sanjay, Dweck, Marc R., Bucciarelli-Ducci, Chiara, Dawson, Dana, Fontana, Marianna, Macfarlane, Peter W., McConnachie, Alex, Neubauer, Stefan, and Greenwood, John P.

Published
2021
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19. Novel Genetic Markers Associate With Atrial Fibrillation Risk in Europeans and Japanese

Author

Lubitz, Steven A, Lunetta, Kathryn L, Lin, Honghuang, Arking, Dan E, Trompet, Stella, Li, Guo, Krijthe, Bouwe P, Chasman, Daniel I, Barnard, John, Kleber, Marcus E, Dörr, Marcus, Ozaki, Kouichi, Smith, Albert V, Müller-Nurasyid, Martina, Walter, Stefan, Agarwal, Sunil K, Bis, Joshua C, Brody, Jennifer A, Chen, Lin Y, Everett, Brendan M, Ford, Ian, Franco, Oscar H, Harris, Tamara B, Hofman, Albert, Kääb, Stefan, Mahida, Saagar, Kathiresan, Sekar, Kubo, Michiaki, Launer, Lenore J, Macfarlane, Peter W, Magnani, Jared W, McKnight, Barbara, McManus, David D, Peters, Annette, Psaty, Bruce M, Rose, Lynda M, Rotter, Jerome I, Silbernagel, Guenther, Smith, Jonathan D, Sotoodehnia, Nona, Stott, David J, Taylor, Kent D, Tomaschitz, Andreas, Tsunoda, Tatsuhiko, Uitterlinden, Andre G, Van Wagoner, David R, Völker, Uwe, Völzke, Henry, Murabito, Joanne M, Sinner, Moritz F, Gudnason, Vilmundur, Felix, Stephan B, März, Winfried, Chung, Mina, Albert, Christine M, Stricker, Bruno H, Tanaka, Toshihiro, Heckbert, Susan R, Jukema, J Wouter, Alonso, Alvaro, Benjamin, Emelia J, and Ellinor, Patrick T

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Genetics, Heart Disease, Cardiovascular, Clinical Research, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Adult, Aged, Aged, 80 and over, Asian People, Atrial Fibrillation, Chromosome Mapping, Chromosomes, Human, Pair 4, Europe, Female, Genetic Markers, Genetic Predisposition to Disease, Homeodomain Proteins, Humans, Japan, Male, Middle Aged, Polymorphism, Single Nucleotide, Transcription Factors, White People, atrial fibrillation, atrial flutter, genetic, prognosis, risk, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

ObjectivesThis study sought to identify nonredundant atrial fibrillation (AF) genetic susceptibility signals and examine their cumulative relations with AF risk.BackgroundAF-associated loci span broad genomic regions that may contain multiple susceptibility signals. Whether multiple signals exist at AF loci has not been systematically explored.MethodsWe performed association testing conditioned on the most significant, independently associated genetic markers at 9 established AF loci using 2 complementary techniques in 64,683 individuals of European ancestry (3,869 incident and 3,302 prevalent AF cases). Genetic risk scores were created and tested for association with AF in Europeans and an independent sample of 11,309 individuals of Japanese ancestry (7,916 prevalent AF cases).ResultsWe observed at least 4 distinct AF susceptibility signals on chromosome 4q25 upstream of PITX2, but not at the remaining 8 AF loci. A multilocus score comprised 12 genetic markers demonstrated an estimated 5-fold gradient in AF risk. We observed a similar spectrum of risk associated with these markers in Japanese. Regions containing AF signals on chromosome 4q25 displayed a greater degree of evolutionary conservation than the remainder of the locus, suggesting that they may tag regulatory elements.ConclusionsThe chromosome 4q25 AF locus is architecturally complex and harbors at least 4 AF susceptibility signals in individuals of European ancestry. Similar polygenic AF susceptibility exists between Europeans and Japanese. Future work is necessary to identify causal variants, determine mechanisms by which associated loci predispose to AF, and explore whether AF susceptibility signals classify individuals at risk for AF and related morbidity.

Published
2014

21. Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits

Author

van Setten, Jessica, Verweij, Niek, Mbarek, Hamdi, Niemeijer, Maartje N., Trompet, Stella, Arking, Dan E., Brody, Jennifer A., Gandin, Ilaria, Grarup, Niels, Hall, Leanne M., Hemerich, Daiane, Lyytikäinen, Leo-Pekka, Mei, Hao, Müller-Nurasyid, Martina, Prins, Bram P., Robino, Antonietta, Smith, Albert V., Warren, Helen R., Asselbergs, Folkert W., Boomsma, Dorret I., Caulfield, Mark J., Eijgelsheim, Mark, Ford, Ian, Hansen, Torben, Harris, Tamara B., Heckbert, Susan R., Hottenga, Jouke-Jan, Iorio, Annamaria, Kors, Jan A., Linneberg, Allan, MacFarlane, Peter W., Meitinger, Thomas, Nelson, Christopher P., Raitakari, Olli T., Silva Aldana, Claudia T., Sinagra, Gianfranco, Sinner, Moritz, Soliman, Elsayed Z., Stoll, Monika, Uitterlinden, Andre, van Duijn, Cornelia M., Waldenberger, Melanie, Alonso, Alvaro, Gasparini, Paolo, Gudnason, Vilmundur, Jamshidi, Yalda, Kääb, Stefan, Kanters, Jørgen K., Lehtimäki, Terho, Munroe, Patricia B., Peters, Annette, Samani, Nilesh J., Sotoodehnia, Nona, Ulivi, Sheila, Wilson, James G., de Geus, Eco J. C., Jukema, J. Wouter, Stricker, Bruno, van der Harst, Pim, de Bakker, Paul I. W., and Isaacs, Aaron

Published
2019
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22. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction

Author

Ntalla, Ioanna, Weng, Lu-Chen, Cartwright, James H., Hall, Amelia Weber, Sveinbjornsson, Gardar, Tucker, Nathan R., Choi, Seung Hoan, Chaffin, Mark D., Roselli, Carolina, Barnes, Michael R., Mifsud, Borbala, Warren, Helen R., Hayward, Caroline, Marten, Jonathan, Cranley, James J., Concas, Maria Pina, Gasparini, Paolo, Boutin, Thibaud, Kolcic, Ivana, Polasek, Ozren, Rudan, Igor, Araujo, Nathalia M., Lima-Costa, Maria Fernanda, Ribeiro, Antonio Luiz P., Souza, Renan P., Tarazona-Santos, Eduardo, Giedraitis, Vilmantas, Ingelsson, Erik, Mahajan, Anubha, Morris, Andrew P., Del Greco M, Fabiola, Foco, Luisa, Gögele, Martin, Hicks, Andrew A., Cook, James P., Lind, Lars, Lindgren, Cecilia M., Sundström, Johan, Nelson, Christopher P., Riaz, Muhammad B., Samani, Nilesh J., Sinagra, Gianfranco, Ulivi, Sheila, Kähönen, Mika, Mishra, Pashupati P., Mononen, Nina, Nikus, Kjell, Caulfield, Mark J., Dominiczak, Anna, Padmanabhan, Sandosh, Montasser, May E., O’Connell, Jeff R., Ryan, Kathleen, Shuldiner, Alan R., Aeschbacher, Stefanie, Conen, David, Risch, Lorenz, Thériault, Sébastien, Hutri-Kähönen, Nina, Lehtimäki, Terho, Lyytikäinen, Leo-Pekka, Raitakari, Olli T., Barnes, Catriona L. K., Campbell, Harry, Joshi, Peter K., Wilson, James F., Isaacs, Aaron, Kors, Jan A., van Duijn, Cornelia M., Huang, Paul L., Gudnason, Vilmundur, Harris, Tamara B., Launer, Lenore J., Smith, Albert V., Bottinger, Erwin P., Loos, Ruth J. F., Nadkarni, Girish N., Preuss, Michael H., Correa, Adolfo, Mei, Hao, Wilson, James, Meitinger, Thomas, Müller-Nurasyid, Martina, Peters, Annette, Waldenberger, Melanie, Mangino, Massimo, Spector, Timothy D., Rienstra, Michiel, van de Vegte, Yordi J., van der Harst, Pim, Verweij, Niek, Kääb, Stefan, Schramm, Katharina, Sinner, Moritz F., Strauch, Konstantin, Cutler, Michael J., Fatkin, Diane, London, Barry, Olesen, Morten, Roden, Dan M., Benjamin Shoemaker, M., Gustav Smith, J., Biggs, Mary L., Bis, Joshua C., Brody, Jennifer A., Psaty, Bruce M., Rice, Kenneth, Sotoodehnia, Nona, De Grandi, Alessandro, Fuchsberger, Christian, Pattaro, Cristian, Pramstaller, Peter P., Ford, Ian, Wouter Jukema, J., Macfarlane, Peter W., Trompet, Stella, Dörr, Marcus, Felix, Stephan B., Völker, Uwe, Weiss, Stefan, Havulinna, Aki S., Jula, Antti, Sääksjärvi, Katri, Salomaa, Veikko, Guo, Xiuqing, Heckbert, Susan R., Lin, Henry J., Rotter, Jerome I., Taylor, Kent D., Yao, Jie, de Mutsert, Renée, Maan, Arie C., Mook-Kanamori, Dennis O., Noordam, Raymond, Cucca, Francesco, Ding, Jun, Lakatta, Edward G., Qian, Yong, Tarasov, Kirill V., Levy, Daniel, Lin, Honghuang, Newton-Cheh, Christopher H., Lunetta, Kathryn L., Murray, Alison D., Porteous, David J., Smith, Blair H., Stricker, Bruno H., Uitterlinden, André, van den Berg, Marten E., Haessler, Jeffrey, Jackson, Rebecca D., Kooperberg, Charles, Peters, Ulrike, Reiner, Alexander P., Whitsel, Eric A., Alonso, Alvaro, Arking, Dan E., Boerwinkle, Eric, Ehret, Georg B., Soliman, Elsayed Z., Avery, Christy L., Gogarten, Stephanie M., Kerr, Kathleen F., Laurie, Cathy C., Seyerle, Amanda A., Stilp, Adrienne, Assa, Solmaz, Abdullah Said, M., Yldau van der Ende, M., Lambiase, Pier D., Orini, Michele, Ramirez, Julia, Van Duijvenboden, Stefan, Arnar, David O., Gudbjartsson, Daniel F., Holm, Hilma, Sulem, Patrick, Thorleifsson, Gudmar, Thorolfsdottir, Rosa B., Thorsteinsdottir, Unnur, Benjamin, Emelia J., Tinker, Andrew, Stefansson, Kari, Ellinor, Patrick T., Jamshidi, Yalda, Lubitz, Steven A., and Munroe, Patricia B.

Published
2020
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28. Multi-ethnic genome-wide association study for atrial fibrillation

Author

Roselli, Carolina, Chaffin, Mark D., Weng, Lu-Chen, Aeschbacher, Stefanie, Ahlberg, Gustav, Albert, Christine M., Almgren, Peter, Alonso, Alvaro, Anderson, Christopher D., Aragam, Krishna G., Arking, Dan E., Barnard, John, Bartz, Traci M., Benjamin, Emelia J., Bihlmeyer, Nathan A., Bis, Joshua C., Bloom, Heather L., Boerwinkle, Eric, Bottinger, Erwin B., Brody, Jennifer A., Calkins, Hugh, Campbell, Archie, Cappola, Thomas P., Carlquist, John, Chasman, Daniel I., Chen, Lin Y., Chen, Yii-Der Ida, Choi, Eue-Keun, Choi, Seung Hoan, Christophersen, Ingrid E., Chung, Mina K., Cole, John W., Conen, David, Cook, James, Crijns, Harry J., Cutler, Michael J., Damrauer, Scott M., Daniels, Brian R., Darbar, Dawood, Delgado, Graciela, Denny, Joshua C., Dichgans, Martin, Dörr, Marcus, Dudink, Elton A., Dudley, Samuel C., Esa, Nada, Esko, Tonu, Eskola, Markku, Fatkin, Diane, Felix, Stephan B., Ford, Ian, Franco, Oscar H., Geelhoed, Bastiaan, Grewal, Raji P., Gudnason, Vilmundur, Guo, Xiuqing, Gupta, Namrata, Gustafsson, Stefan, Gutmann, Rebecca, Hamsten, Anders, Harris, Tamara B., Hayward, Caroline, Heckbert, Susan R., Hernesniemi, Jussi, Hocking, Lynne J., Hofman, Albert, Horimoto, Andrea R. V. R., Huang, Jie, Huang, Paul L., Huffman, Jennifer, Ingelsson, Erik, Ipek, Esra Gucuk, Ito, Kaoru, Jimenez-Conde, Jordi, Johnson, Renee, Jukema, J. Wouter, Kääb, Stefan, Kähönen, Mika, Kamatani, Yoichiro, Kane, John P., Kastrati, Adnan, Kathiresan, Sekar, Katschnig-Winter, Petra, Kavousi, Maryam, Kessler, Thorsten, Kietselaer, Bas L., Kirchhof, Paulus, Kleber, Marcus E., Knight, Stacey, Krieger, Jose E., Kubo, Michiaki, Launer, Lenore J., Laurikka, Jari, Lehtimäki, Terho, Leineweber, Kirsten, Lemaitre, Rozenn N., Li, Man, Lim, Hong Euy, Lin, Henry J., Lin, Honghuang, Lind, Lars, Lindgren, Cecilia M., Lokki, Marja-Liisa, London, Barry, Loos, Ruth J. F., Low, Siew-Kee, Lu, Yingchang, Lyytikäinen, Leo-Pekka, Macfarlane, Peter W., Magnusson, Patrik K., Mahajan, Anubha, Malik, Rainer, Mansur, Alfredo J., Marcus, Gregory M., Margolin, Lauren, Margulies, Kenneth B., März, Winfried, McManus, David D., Melander, Olle, Mohanty, Sanghamitra, Montgomery, Jay A., Morley, Michael P., Morris, Andrew P., Müller-Nurasyid, Martina, Natale, Andrea, Nazarian, Saman, Neumann, Benjamin, Newton-Cheh, Christopher, Niemeijer, Maartje N., Nikus, Kjell, Nilsson, Peter, Noordam, Raymond, Oellers, Heidi, Olesen, Morten S., Orho-Melander, Marju, Padmanabhan, Sandosh, Pak, Hui-Nam, Paré, Guillaume, Pedersen, Nancy L., Pera, Joanna, Pereira, Alexandre, Porteous, David, Psaty, Bruce M., Pulit, Sara L., Pullinger, Clive R., Rader, Daniel J., Refsgaard, Lena, Ribasés, Marta, Ridker, Paul M., Rienstra, Michiel, Risch, Lorenz, Roden, Dan M., Rosand, Jonathan, Rosenberg, Michael A., Rost, Natalia, Rotter, Jerome I., Saba, Samir, Sandhu, Roopinder K., Schnabel, Renate B., Schramm, Katharina, Schunkert, Heribert, Schurman, Claudia, Scott, Stuart A., Seppälä, Ilkka, Shaffer, Christian, Shah, Svati, Shalaby, Alaa A., Shim, Jaemin, Shoemaker, M. Benjamin, Siland, Joylene E., Sinisalo, Juha, Sinner, Moritz F., Slowik, Agnieszka, Smith, Albert V., Smith, Blair H., Smith, J. Gustav, Smith, Jonathan D., Smith, Nicholas L., Soliman, Elsayed Z., Sotoodehnia, Nona, Stricker, Bruno H., Sun, Albert, Sun, Han, Svendsen, Jesper H., Tanaka, Toshihiro, Tanriverdi, Kahraman, Taylor, Kent D., Teder-Laving, Maris, Teumer, Alexander, Thériault, Sébastien, Trompet, Stella, Tucker, Nathan R., Tveit, Arnljot, Uitterlinden, Andre G., Van Der Harst, Pim, Van Gelder, Isabelle C., Van Wagoner, David R., Verweij, Niek, Vlachopoulou, Efthymia, Völker, Uwe, Wang, Biqi, Weeke, Peter E., Weijs, Bob, Weiss, Raul, Weiss, Stefan, Wells, Quinn S., Wiggins, Kerri L., Wong, Jorge A., Woo, Daniel, Worrall, Bradford B., Yang, Pil-Sung, Yao, Jie, Yoneda, Zachary T., Zeller, Tanja, Zeng, Lingyao, Lubitz, Steven A., Lunetta, Kathryn L., and Ellinor, Patrick T.

Published
2018
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33. Resting heart rate and incident atrial fibrillation:A stratified Mendelian randomization in the AFGen consortium

Author

Siland, J. E., Geelhoed, B., Roselli, C., Wang, B., Lin, H., Weiss, S., Trompet, S., van den Berg, M. E., Soliman, E. Z., Chen, L. Y., Ford, I., Jukema, J. W., Macfarlane, P. W., Kornej, J., Lunetta, K. L., Kavousi, M., Kors, J. A., Ikram, M. A., Guo, X., Yao, J., Dörr, M., Felix, S. B., Völker, U., Sotoodehnia, N., Arking, D. E., Stricker, B. H., Heckbert, S. R., Benjamin, E. J., Lubitz, S. A., Alonso, A., Ellinor, P. T., van der Harst, P., Rienstra, M., Siland, J. E., Geelhoed, B., Roselli, C., Wang, B., Lin, H., Weiss, S., Trompet, S., van den Berg, M. E., Soliman, E. Z., Chen, L. Y., Ford, I., Jukema, J. W., Macfarlane, P. W., Kornej, J., Lunetta, K. L., Kavousi, M., Kors, J. A., Ikram, M. A., Guo, X., Yao, J., Dörr, M., Felix, S. B., Völker, U., Sotoodehnia, N., Arking, D. E., Stricker, B. H., Heckbert, S. R., Benjamin, E. J., Lubitz, S. A., Alonso, A., Ellinor, P. T., van der Harst, P., and Rienstra, M.

Abstract

Background Both elevated and low resting heart rates are associated with atrial fibrillation (AF), suggesting a U-shaped relationship. However, evidence for a U-shaped causal association between genetically-determined resting heart rate and incident AF is limited. We investigated potential directional changes of the causal association between genetically-determined resting heart rate and incident AF. Method and results Seven cohorts of the AFGen consortium contributed data to this meta-analysis. All participants were of European ancestry with known AF status, genotype information, and a heart rate measurement from a baseline electrocardiogram (ECG). Three strata of instrumental variable-free resting heart rate were used to assess possible non-linear associations between genetically-determined resting heart rate and the logarithm of the incident AF hazard rate: <65; 65–75; and >75 beats per minute (bpm). Mendelian randomization analyses using a weighted resting heart rate polygenic risk score were performed for each stratum. We studied 38,981 individuals (mean age 59±10 years, 54% women) with a mean resting heart rate of 67±11 bpm. During a mean follow-up of 13±5 years, 4,779 (12%) individuals developed AF. A U-shaped association between the resting heart rate and the incident AF-hazard ratio was observed. Genetically-determined resting heart rate was inversely associated with incident AF for instrumental variable-free resting heart rates below 65 bpm (hazard ratio for genetically-determined resting heart rate, 0.96; 95% confidence interval, 0.94–0.99; p = 0.01). Genetically-determined resting heart rate was not associated with incident AF in the other two strata. Conclusions For resting heart rates below 65 bpm, our results support an inverse causal association between genetically-determined resting heart rate and incident AF.

Published
2022

34. Resting heart rate and incident atrial fibrillation: A stratified Mendelian randomization in the AFGen consortium

Author

Circulatory Health, Team Medisch, Siland, J E, Geelhoed, B, Roselli, C, Wang, B, Lin, H J, Weiss, S, Trompet, S, van den Berg, M E, Soliman, E Z, Chen, L Y, Ford, I, Jukema, J W, Macfarlane, P W, Kornej, J, Lin, H, Lunetta, K L, Kavousi, M, Kors, J A, Ikram, M A, Guo, X, Yao, J, Dörr, M, Felix, S B, Völker, U, Sotoodehnia, N, Arking, D E, Stricker, B H, Heckbert, S R, Lubitz, S A, Benjamin, E J, Alonso, A, Ellinor, P T, van der Harst, P, Rienstra, M, Circulatory Health, Team Medisch, Siland, J E, Geelhoed, B, Roselli, C, Wang, B, Lin, H J, Weiss, S, Trompet, S, van den Berg, M E, Soliman, E Z, Chen, L Y, Ford, I, Jukema, J W, Macfarlane, P W, Kornej, J, Lin, H, Lunetta, K L, Kavousi, M, Kors, J A, Ikram, M A, Guo, X, Yao, J, Dörr, M, Felix, S B, Völker, U, Sotoodehnia, N, Arking, D E, Stricker, B H, Heckbert, S R, Lubitz, S A, Benjamin, E J, Alonso, A, Ellinor, P T, van der Harst, P, and Rienstra, M

Published
2022

36. Resting heart rate and incident atrial fibrillation: A stratified Mendelian randomization in the AFGen consortium

Author

Siland, J. E., primary, Geelhoed, B., additional, Roselli, C., additional, Wang, B., additional, Lin, H. J., additional, Weiss, S., additional, Trompet, S., additional, van den Berg, M. E., additional, Soliman, E. Z., additional, Chen, L. Y., additional, Ford, I., additional, Jukema, J. W., additional, Macfarlane, P. W., additional, Kornej, J., additional, Lin, H., additional, Lunetta, K. L., additional, Kavousi, M., additional, Kors, J. A., additional, Ikram, M. A., additional, Guo, X., additional, Yao, J., additional, Dörr, M., additional, Felix, S. B., additional, Völker, U., additional, Sotoodehnia, N., additional, Arking, D. E., additional, Stricker, B. H., additional, Heckbert, S. R., additional, Lubitz, S. A., additional, Benjamin, E. J., additional, Alonso, A., additional, Ellinor, P. T., additional, van der Harst, P., additional, and Rienstra, M., additional

Published
2022
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38. Drug–gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval

Author

Avery, C L, Sitlani, C M, Arking, D E, Arnett, D K, Bis, J C, Boerwinkle, E, Buckley, B M, Ida Chen, Y-D, de Craen, A J M, Eijgelsheim, M, Enquobahrie, D, Evans, D S, Ford, I, Garcia, M E, Gudnason, V, Harris, T B, Heckbert, S R, Hochner, H, Hofman, A, Hsueh, W-C, Isaacs, A, Jukema, J W, Knekt, P, Kors, J A, Krijthe, B P, Kristiansson, K, Laaksonen, M, Liu, Y, Li, X, MacFarlane, P W, Newton-Cheh, C, Nieminen, M S, Oostra, B A, Peloso, G M, Porthan, K, Rice, K, Rivadeneira, F F, Rotter, J I, Salomaa, V, Sattar, N, Siscovick, D S, Slagboom, P E, Smith, A V, Sotoodehnia, N, Stott, D J, Stricker, B H, Stürmer, T, Trompet, S, Uitterlinden, A G, van Duijn, C, Westendorp, R G J, Witteman, J C, Whitsel, E A, and Psaty, B M

Published
2014
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40. Personality Development and Intellectual Functioning from 21 Months to 40 Years.

Author

California Univ., Los Angeles., American Psychological Association, Washington, DC., Honzik, Marjorie P., and Macfarlane, Jean W.

Abstract

This is the latest in a series of reported findings for a Guidance Study which followed the same persons from infancy to age 40. The report focuses on: (1) how well the 50 men and 60 women subjects maintained their positions relative to I.Q. during the 22 years since they were last tested at age 18; (2) gains and losses in I.Q. over the 22 year period; (3) characteristics of those who have gained or lost relative to the norm; and (4) the personality development of the subjects. Case-Q sort personality evaluations were used in relation to gains in I.Q. during adulthood and I.Q. at age 40. Results of the correlations are presented. The total group results suggest that those with high I.Q.'s are cognitively very able, are self-critical, introspective, not especially interested in other people, but are coping and highly thoughtful adults. Six individual cases are presented. Some general conclusions are consistent in pointing up the complexity of interacting factors which such studies must take into account. (TL)

Published
1970

42. Testing a generalized leaf mass estimation method for diverse tree species and climates of the continental United States.

Author

Dettmann, Garret T., MacFarlane, David W., Radtke, Philip J., Weiskittel, Aaron R., Affleck, David L. R., Poudel, Krishna P., and Westfall, James

Subjects
NUMBERS of species, DEAD trees, INDEPENDENT variables, SPECIFIC gravity, SPECIES, WOOD
Abstract

Estimating tree leaf biomass can be challenging in applications where predictions for multiple tree species is required. This is especially evident where there is limited or no data available for some of the species of interest. Here we use an extensive national database of observations (61 species, 3628 trees) and formulate models of varying complexity, ranging from a simple model with diameter at breast height (DBH) as the only predictor to more complex models with up to 8 predictors (DBH, leaf longevity, live crown ratio, wood specific gravity, shade tolerance, mean annual temperature, and mean annual precipitation), to estimate tree leaf biomass for any species across the continental United States. The most complex with all eight predictors was the best and explained 74%–86% of the variation in leaf mass. Consideration was given to the difficulty of measuring all of these predictor variables for model application, but many are easily obtained or already widely collected. Because most of the model variables are independent of species and key species‐level variables are available from published values, our results show that leaf biomass can be estimated for new species not included in the data used to fit the model. The latter assertion was evaluated using a novel "leave‐one‐species‐out" cross‐validation approach, which showed that our chosen model performs similarly for species used to calibrate the model, as well as those not used to develop it. The models exhibited a strong bias toward overestimation for a relatively small subset of the trees. Despite these limitations, the models presented here can provide leaf biomass estimates for multiple species over large spatial scales and can be applied to new species or species with limited leaf biomass data available. [ABSTRACT FROM AUTHOR]

Published
2022
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45. Are elevated circulating intercellular adhesion molecule 1 levels more strongly predictive of diabetes than vascular risk? Outcome of a prospective study in the elderly

Author

Sattar, N., Murray, H. M., Welsh, P., Blauw, G. J., Buckley, B. M., de Craen, A. J., Ford, I., Forouhi, N. G., Freeman, D. J., Jukema, J. W., Macfarlane, P. W., Murphy, M. B., Packard, C. J., Stott, D. J., Westendorp, R. G. J., Shepherd, J., and for the Prospective Study of Pravastatin in the Elderly at Risk Trial Study Group

Published
2009
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46. Myocardial Involvement After Hospitalization for COVID-19 Complicated by Troponin Elevation: A Prospective, Multicenter, Observational Study

Author

Artico, Jessica, Shiwani, Hunain, Moon, James C., Gorecka, Miroslawa, McCann, Gerry P., Roditi, Giles, Morrow, Andrew, Mangion, Kenneth, Lukaschuk, Elena, Shanmuganathan, Mayooran, Miller, Christopher A., Chiribiri, Amedeo, Prasad, Sanjay K., Adam, Robert D., Singh, Trisha, Bucciarelli-Ducci, Chiara, Dawson, Dana, Knight, Daniel, Fontana, Marianna, Manisty, Charlotte, Treibel, Thomas A., Levelt, Eylem, Arnold, Ranjit, Macfarlane, Peter W., Young, Robin, McConnachie, Alex, Neubauer, Stefan, Piechnik, Stefan K., Davies, Rhodri H., Ferreira, Vanessa M., Dweck, Marc R., Berry, Colin, and Greenwood, John P.

Published
2023
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48. Consumer-Led Screening for Atrial Fibrillation: Frontier Review of the AF-SCREEN International Collaboration

Author

Brandes, Axel, Stavrakis, Stavros, Freedman, Ben, Antoniou, Sotiris, Boriani, Giuseppe, Camm, A. John, Chow, Clara K., Ding, Eric, Engdahl, Johan, Gibson, Michael M., Golovchiner, Gregory, Glotzer, Taya, Guo, Yutao, Healey, Jeff S., Hills, Mellanie T., Johnson, Linda, Lip, Gregory Y. H., Lobban, Trudie, Macfarlane, Peter W., Marcus, Gregory M., McManus, David D., Neubeck, Lis, Orchard, Jessica, Perez, Marco V., Schnabel, Renate B., Smyth, Breda, Steinhubl, Steven, and Turakhia, Mintu P.

Abstract

The technological evolution and widespread availability of wearables and handheld ECG devices capable of screening for atrial fibrillation (AF), and their promotion directly to consumers, has focused attention of health care professionals and patient organizations on consumer-led AF screening. In this Frontiers review, members of the AF-SCREEN International Collaboration provide a critical appraisal of this rapidly evolving field to increase awareness of the complexities and uncertainties surrounding consumer-led AF screening. Although there are numerous commercially available devices directly marketed to consumers for AF monitoring and identification of unrecognized AF, health care professional–led randomized controlled studies using multiple ECG recordings or continuous ECG monitoring to detect AF have failed to demonstrate a significant reduction in stroke. Although it remains uncertain if consumer-led AF screening reduces stroke, it could increase early diagnosis of AF and facilitate an integrated approach, including appropriate anticoagulation, rate or rhythm management, and risk factor modification to reduce complications. Companies marketing AF screening devices should report the accuracy and performance of their products in high- and low-risk populations and avoid claims about clinical outcomes unless improvement is demonstrated in randomized clinical trials. Generally, the diagnostic yield of AF screening increases with the number, duration, and temporal dispersion of screening sessions, but the prognostic importance may be less than for AF detected by single–time point screening, which is largely permanent, persistent, or high-burden paroxysmal AF. Consumer-initiated ECG recordings suggesting possible AF always require confirmation by a health care professional experienced in ECG reading, whereas suspicion of AF on the basis of photoplethysmography must be confirmed with an ECG. Consumer-led AF screening is unlikely to be cost-effective for stroke prevention in the predominantly young, early adopters of this technology. Studies in older people at higher stroke risk are required to demonstrate both effectiveness and cost-effectiveness. The direct interaction between companies and consumers creates new regulatory gaps in relation to data privacy and the registration of consumer apps and devices. Although several barriers for optimal use of consumer-led screening exist, results of large, ongoing trials, powered to detect clinical outcomes, are required before health care professionals should support widespread adoption of consumer-led AF screening.

Published
2022
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