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322 results on '"Hopewell, Jemma C."'

1. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants

Author: Aragam, Krishna G., Jiang, Tao, Goel, Anuj, Kanoni, Stavroula, Wolford, Brooke N., Atri, Deepak S., Weeks, Elle M., Wang, Minxian, Hindy, George, Zhou, Wei, Grace, Christopher, Roselli, Carolina, Marston, Nicholas A., Kamanu, Frederick K., Surakka, Ida, Venegas, Loreto Muñoz, Sherliker, Paul, Koyama, Satoshi, Ishigaki, Kazuyoshi, Åsvold, Bjørn O., Brown, Michael R., Brumpton, Ben, de Vries, Paul S., Giannakopoulou, Olga, Giardoglou, Panagiota, Gudbjartsson, Daniel F., Güldener, Ulrich, Haider, Syed M. Ijlal, Helgadottir, Anna, Ibrahim, Maysson, Kastrati, Adnan, Kessler, Thorsten, Kyriakou, Theodosios, Konopka, Tomasz, Li, Ling, Ma, Lijiang, Meitinger, Thomas, Mucha, Sören, Munz, Matthias, Murgia, Federico, Nielsen, Jonas B., Nöthen, Markus M., Pang, Shichao, Reinberger, Tobias, Schnitzler, Gavin, Smedley, Damian, Thorleifsson, Gudmar, von Scheidt, Moritz, Ulirsch, Jacob C., Arnar, David O., Burtt, Noël P., Costanzo, Maria C., Flannick, Jason, Ito, Kaoru, Jang, Dong-Keun, Kamatani, Yoichiro, Khera, Amit V., Komuro, Issei, Kullo, Iftikhar J., Lotta, Luca A., Nelson, Christopher P., Roberts, Robert, Thorgeirsson, Gudmundur, Thorsteinsdottir, Unnur, Webb, Thomas R., Baras, Aris, Björkegren, Johan L. M., Boerwinkle, Eric, Dedoussis, George, Holm, Hilma, Hveem, Kristian, Melander, Olle, Morrison, Alanna C., Orho-Melander, Marju, Rallidis, Loukianos S., Ruusalepp, Arno, Sabatine, Marc S., Stefansson, Kari, Zalloua, Pierre, Ellinor, Patrick T., Farrall, Martin, Danesh, John, Ruff, Christian T., Finucane, Hilary K., Hopewell, Jemma C., Clarke, Robert, Gupta, Rajat M., Erdmann, Jeanette, Samani, Nilesh J., Schunkert, Heribert, Watkins, Hugh, Willer, Cristen J., Deloukas, Panos, Kathiresan, Sekar, and Butterworth, Adam S.
Published: 2022
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2. Stroke genetics informs drug discovery and risk prediction across ancestries

Author: Mishra, Aniket, Malik, Rainer, Hachiya, Tsuyoshi, Jürgenson, Tuuli, Namba, Shinichi, Posner, Daniel C., Kamanu, Frederick K., Koido, Masaru, Le Grand, Quentin, Shi, Mingyang, He, Yunye, Georgakis, Marios K., Caro, Ilana, Krebs, Kristi, Liaw, Yi-Ching, Vaura, Felix C., Lin, Kuang, Winsvold, Bendik Slagsvold, Srinivasasainagendra, Vinodh, Parodi, Livia, Bae, Hee-Joon, Chauhan, Ganesh, Chong, Michael R., Tomppo, Liisa, Akinyemi, Rufus, Roshchupkin, Gennady V., Habib, Naomi, Jee, Yon Ho, Thomassen, Jesper Qvist, Abedi, Vida, Cárcel-Márquez, Jara, Nygaard, Marianne, Leonard, Hampton L., Yang, Chaojie, Yonova-Doing, Ekaterina, Knol, Maria J., Lewis, Adam J., Judy, Renae L., Ago, Tetsuro, Amouyel, Philippe, Armstrong, Nicole D., Bakker, Mark K., Bartz, Traci M., Bennett, David A., Bis, Joshua C., Bordes, Constance, Børte, Sigrid, Cain, Anael, Ridker, Paul M., Cho, Kelly, Chen, Zhengming, Cruchaga, Carlos, Cole, John W., de Jager, Phil L., de Cid, Rafael, Endres, Matthias, Ferreira, Leslie E., Geerlings, Mirjam I., Gasca, Natalie C., Gudnason, Vilmundur, Hata, Jun, He, Jing, Heath, Alicia K., Ho, Yuk-Lam, Havulinna, Aki S., Hopewell, Jemma C., Hyacinth, Hyacinth I., Inouye, Michael, Jacob, Mina A., Jeon, Christina E., Jern, Christina, Kamouchi, Masahiro, Keene, Keith L., Kitazono, Takanari, Kittner, Steven J., Konuma, Takahiro, Kumar, Amit, Lacaze, Paul, Launer, Lenore J., Lee, Keon-Joo, Lepik, Kaido, Li, Jiang, Li, Liming, Manichaikul, Ani, Markus, Hugh S., Marston, Nicholas A., Meitinger, Thomas, Mitchell, Braxton D., Montellano, Felipe A., Morisaki, Takayuki, Mosley, Thomas H., Nalls, Mike A., Nordestgaard, Børge G., O’Donnell, Martin J., Okada, Yukinori, Onland-Moret, N. Charlotte, Ovbiagele, Bruce, Peters, Annette, Psaty, Bruce M., Rich, Stephen S., Rosand, Jonathan, Sabatine, Marc S., Sacco, Ralph L., Saleheen, Danish, Sandset, Else Charlotte, Salomaa, Veikko, Sargurupremraj, Muralidharan, Sasaki, Makoto, Satizabal, Claudia L., Schmidt, Carsten O., Shimizu, Atsushi, Smith, Nicholas L., Sloane, Kelly L., Sutoh, Yoichi, Sun, Yan V., Tanno, Kozo, Tiedt, Steffen, Tatlisumak, Turgut, Torres-Aguila, Nuria P., Tiwari, Hemant K., Trégouët, David-Alexandre, Trompet, Stella, Tuladhar, Anil Man, Tybjærg-Hansen, Anne, van Vugt, Marion, Vibo, Riina, Verma, Shefali S., Wiggins, Kerri L., Wennberg, Patrik, Woo, Daniel, Wilson, Peter W. F., Xu, Huichun, Yang, Qiong, Yoon, Kyungheon, Millwood, Iona Y., Gieger, Christian, Ninomiya, Toshiharu, Grabe, Hans J., Jukema, J. Wouter, Rissanen, Ina L., Strbian, Daniel, Kim, Young Jin, Chen, Pei-Hsin, Mayerhofer, Ernst, Howson, Joanna M. M., Irvin, Marguerite R., Adams, Hieab, Wassertheil-Smoller, Sylvia, Christensen, Kaare, Ikram, Mohammad A., Rundek, Tatjana, Worrall, Bradford B., Lathrop, G. Mark, Riaz, Moeen, Simonsick, Eleanor M., Kõrv, Janika, França, Paulo H. C., Zand, Ramin, Prasad, Kameshwar, Frikke-Schmidt, Ruth, de Leeuw, Frank-Erik, Liman, Thomas, Haeusler, Karl Georg, Ruigrok, Ynte M., Heuschmann, Peter Ulrich, Longstreth, W. T., Jung, Keum Ji, Bastarache, Lisa, Paré, Guillaume, Damrauer, Scott M., Chasman, Daniel I., Rotter, Jerome I., Anderson, Christopher D., Zwart, John-Anker, Niiranen, Teemu J., Fornage, Myriam, Liaw, Yung-Po, Seshadri, Sudha, Fernández-Cadenas, Israel, Walters, Robin G., Ruff, Christian T., Owolabi, Mayowa O., Huffman, Jennifer E., Milani, Lili, Kamatani, Yoichiro, Dichgans, Martin, and Debette, Stephanie
Published: 2022
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3. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Author: Chauhan, Ganesh, Adams, Hieab HH, Satizabal, Claudia L, Bis, Joshua C, Teumer, Alexander, Sargurupremraj, Muralidharan, Hofer, Edith, Trompet, Stella, Hilal, Saima, Smith, Albert Vernon, Jian, Xueqiu, Malik, Rainer, Traylor, Matthew, Pulit, Sara L, Amouyel, Philippe, Mazoyer, Bernard, Zhu, Yi-Cheng, Kaffashian, Sara, Schilling, Sabrina, Beecham, Gary W, Montine, Thomas J, Schellenberg, Gerard D, Kjartansson, Olafur, Guðnason, Vilmundur, Knopman, David S, Griswold, Michael E, Windham, B Gwen, Gottesman, Rebecca F, Mosley, Thomas H, Schmidt, Reinhold, Saba, Yasaman, Schmidt, Helena, Takeuchi, Fumihiko, Yamaguchi, Shuhei, Nabika, Toru, Kato, Norihiro, Rajan, Kumar B, Aggarwal, Neelum T, De Jager, Philip L, Evans, Denis A, Psaty, Bruce M, Rotter, Jerome I, Rice, Kenneth, Lopez, Oscar L, Liao, Jiemin, Chen, Christopher, Cheng, Ching-Yu, Wong, Tien Y, Ikram, Mohammad K, van der Lee, Sven J, Amin, Najaf, Chouraki, Vincent, DeStefano, Anita L, Aparicio, Hugo J, Romero, Jose R, Maillard, Pauline, DeCarli, Charles, Wardlaw, Joanna M, del C. Valdés Hernández, Maria, Luciano, Michelle, Liewald, David, Deary, Ian J, Starr, John M, Bastin, Mark E, Maniega, Susana Muñoz, Slagboom, P Eline, Beekman, Marian, Deelen, Joris, Uh, Hae-Won, Lemmens, Robin, Brodaty, Henry, Wright, Margaret J, Ames, David, Boncoraglio, Giorgio B, Hopewell, Jemma C, Beecham, Ashley H, Blanton, Susan H, Wright, Clinton B, Sacco, Ralph L, Wen, Wei, Thalamuthu, Anbupalam, Armstrong, Nicola J, Chong, Elizabeth, Schofield, Peter R, Kwok, John B, van der Grond, Jeroen, Stott, David J, Ford, Ian, Jukema, J Wouter, Vernooij, Meike W, Hofman, Albert, Uitterlinden, André G, van der Lugt, Aad, Wittfeld, Katharina, Grabe, Hans J, Hosten, Norbert, von Sarnowski, Bettina, Völker, Uwe, Levi, Christopher, and Jimenez-Conde, Jordi
Subjects: Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Genetics, Cerebrovascular, Cardiovascular, Brain Disorders, Stroke, Human Genome, Prevention, Aging, 2.1 Biological and endogenous factors, Good Health and Well Being, Stroke Genetics Network (SiGN), the International Stroke Genetics Consortium (ISGC), METASTROKE, Alzheimer's Disease Genetics Consortium (ADGC), and the Neurology Working Group of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract: ObjectiveTo explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts.MethodsWe performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n = 20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI.ResultsThe mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p [BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p [BI] = 4.4 × 10-10; p [SSBI] = 1.2 × 10-4), diabetes (p [BI] = 1.7 × 10-8; p [SSBI] = 2.8 × 10-3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10-24), and MRI-defined white matter hyperintensity burden (p [BI] = 1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy.ConclusionIn this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI.
Published: 2019

4. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.

Author: Franceschini, Nora, Giambartolomei, Claudia, de Vries, Paul S, Finan, Chris, Bis, Joshua C, Huntley, Rachael P, Lovering, Ruth C, Tajuddin, Salman M, Winkler, Thomas W, Graff, Misa, Kavousi, Maryam, Dale, Caroline, Smith, Albert V, Hofer, Edith, van Leeuwen, Elisabeth M, Nolte, Ilja M, Lu, Lingyi, Scholz, Markus, Sargurupremraj, Muralidharan, Pitkänen, Niina, Franzén, Oscar, Joshi, Peter K, Noordam, Raymond, Marioni, Riccardo E, Hwang, Shih-Jen, Musani, Solomon K, Schminke, Ulf, Palmas, Walter, Isaacs, Aaron, Correa, Adolfo, Zonderman, Alan B, Hofman, Albert, Teumer, Alexander, Cox, Amanda J, Uitterlinden, André G, Wong, Andrew, Smit, Andries J, Newman, Anne B, Britton, Annie, Ruusalepp, Arno, Sennblad, Bengt, Hedblad, Bo, Pasaniuc, Bogdan, Penninx, Brenda W, Langefeld, Carl D, Wassel, Christina L, Tzourio, Christophe, Fava, Cristiano, Baldassarre, Damiano, O'Leary, Daniel H, Teupser, Daniel, Kuh, Diana, Tremoli, Elena, Mannarino, Elmo, Grossi, Enzo, Boerwinkle, Eric, Schadt, Eric E, Ingelsson, Erik, Veglia, Fabrizio, Rivadeneira, Fernando, Beutner, Frank, Chauhan, Ganesh, Heiss, Gerardo, Snieder, Harold, Campbell, Harry, Völzke, Henry, Markus, Hugh S, Deary, Ian J, Jukema, J Wouter, de Graaf, Jacqueline, Price, Jacqueline, Pott, Janne, Hopewell, Jemma C, Liang, Jingjing, Thiery, Joachim, Engmann, Jorgen, Gertow, Karl, Rice, Kenneth, Taylor, Kent D, Dhana, Klodian, Kiemeney, Lambertus ALM, Lind, Lars, Raffield, Laura M, Launer, Lenore J, Holdt, Lesca M, Dörr, Marcus, Dichgans, Martin, Traylor, Matthew, Sitzer, Matthias, Kumari, Meena, Kivimaki, Mika, Nalls, Mike A, Melander, Olle, Raitakari, Olli, Franco, Oscar H, Rueda-Ochoa, Oscar L, Roussos, Panos, Whincup, Peter H, Amouyel, Philippe, and Giral, Philippe
Subjects: MEGASTROKE Consortium, Humans, Coronary Disease, Genetic Predisposition to Disease, Amino Acid Oxidoreductases, Protein-Lysine 6-Oxidase, Risk Factors, Lod Score, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study, Plaque, Atherosclerotic, Carotid Intima-Media Thickness, ADAMTS9 Protein, Plaque, Atherosclerotic, Polymorphism, Single Nucleotide
Abstract: Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.
Published: 2018

5. Oxidized phospholipids on apolipoprotein B-100 versus plasminogen and risk of coronary heart disease in the PROCARDIS study

Author: Clarke, Robert, Hammami, Imen, Sherliker, Paul, Valdes-Marquez, Elsa, Watkins, Hugh, Hill, Michael, Yang, Xiaohong, Tsimikas, Sotirios, and Hopewell, Jemma C.
Published: 2022
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6. Multi‐phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations

Author: Temprano‐Sagrera, Gerard, Sitlani, Colleen M., Bone, William P., Martin‐Bornez, Miguel, Voight, Benjamin F., Morrison, Alanna C., Damrauer, Scott M., de Vries, Paul S., Smith, Nicholas L., Sabater‐Lleal, Maria, Dehghan, Abbas, Heath, Adam S, Morrison, Alanna C, Reiner, Alex P, Johnson, Andrew, Richmond, Anne, Peters, Annette, van Hylckama Vlieg, Astrid, McKnight, Barbara, Psaty, Bruce M, Hayward, Caroline, Ward‐Caviness, Cavin, O’Donnell, Christopher, Chasman, Daniel, Strachan, David P, Tregouet, David A, Mook‐Kanamori, Dennis, Gill, Dipender, Thibord, Florian, Asselbergs, Folkert W, Leebeek, Frank W.G., Rosendaal, Frits R, Davies, Gail, Homuth, Georg, Temprano, Gerard, Campbell, Harry, Taylor, Herman A, Bressler, Jan, Huffman, Jennifer E, Rotter, Jerome I, Yao, Jie, Wilson, James F, Bis, Joshua C, Hahn, Julie M, Desch, Karl C, Wiggins, Kerri L, Raffield, Laura M, Bielak, Lawrence F, Yanek, Lisa R, Kleber, Marcus E, Mueller, Martina, Kavousi, Maryam, Mangino, Massimo, Liu, Melissa, Brown, Michael R, Conomos, Matthew P, Jhun, Min‐A, Chen, Ming‐Huei, de Maat, Moniek P.M., Pankratz, Nathan, Smith, Nicholas L, Peyser, Patricia A, Elliot, Paul, de Vries, Paul S, Wei, Peng, Wild, Philipp S, Morange, Pierre E, van der Harst, Pim, Yang, Qiong, Le, Ngoc‐Quynh, Marioni, Riccardo, Li, Ruifang, Damrauer, Scott M, Cox, Simon R, Trompet, Stella, Felix, Stephan B, Völker, Uwe, Tang, Weihong, Koenig, Wolfgang, Jukema, J. Wouter, Guo, Xiuqing, Lindstrom, Sara, Wang, Lu, Smith, Erin N, Gordon, William, de Andrade, Mariza, Brody, Jennifer A, Pattee, Jack W, Haessler, Jeffrey, Brumpton, Ben M, Chasman, Daniel I, Suchon, Pierre, Turman, Constance, Germain, Marine, MacDonald, James, Braekkan, Sigrid K, Armasu, Sebastian M, Jackson, Rabecca D, Nielsen, Jonas B, Giulianini, Franco, Puurunen, Marja K, Ibrahim, Manal, Heckbert, Susan R, Bammler, Theo K, Frazer, Kelly A, McCauley, Bryan M, Taylor, Kent, Pankow, James S, Reiner, Alexander P, Gabrielsen, Maiken E, Deleuze, Jean‐François, O’Donnell, Chris J, Kim, Jihye, Kraft, Peter, Hansen, John‐Bjarne, Heit, John A, Kooperberg, Charles, Hveem, Kristian, Ridker, Paul M, Morange, Pierre‐Emmanuel, Johnson, Andrew D, Kabrhel, Christopher, Trégouët, David‐Alexandre, Malik, Rainer, Chauhan, Ganesh, Traylor, Matthew, Sargurupremraj, Muralidharan, Okada, Yukinori, Mishra, Aniket, Rutten‐Jacobs, Loes, Giese, Anne‐Katrin, van der Laan, Sander W, Gretarsdottir, Solveig, Anderson, Christopher D, Chong, Michael, Adams, Hieab HH, Ago, Tetsuro, Almgren, Peter, Amouyel, Philippe, Ay, Hakan, Bartz, Traci M, Benavente, Oscar R, Bevan, Steve, Boncoraglio, Giorgio B, Brown, Robert D, Butterworth, Adam S, Carrera, Caty, Carty, Cara L, Chen, Wei‐Min, Cole, John W, Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul IW, DeStefano, Anita L, den Hoed, Marcel, Duan, Qing, Engelter, Stefan T, Falcone, Guido J, Gottesman, Rebecca F, Grewal, Raji P, Gudnason, Vilmundur, Gustafsson, Stefan, Harris, Tamara B, Hassan, Ahamad, Havulinna, Aki S, Holliday, Elizabeth G, Howard, George, Hsu, Fang‐Chi, Hyacinth, Hyacinth I, Arfan Ikram, M, Ingelsson, Erik, Irvin, Marguerite R, Jian, Xueqiu, Jiménez‐Conde, Jordi, Johnson, Julie A, Jukema, J Wouter, Kanai, Masahiro, Keene, Keith L, Kissela, Brett M, Kleindorfer, Dawn O, Kubo, Michiaki, Lange, Leslie A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Jin‐Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M, Lin, Wei‐Yu, Lindgren, Arne G, Lorentzen, Erik, Magnusson, Patrik K, Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F, Meschia, James F, Mitchell, Braxton D, Mosley, Thomas H, Nalls, Michael A, Ninomiya, Toshiharu, O’Donnell, Martin J, Pulit, Sara L, Rannikmäe, Kristiina, Rexrode, Kathryn M, Rice, Kenneth, Rich, Stephen S, Rost, Natalia S, Rothwell, Peter M, Rundek, Tatjana, Sacco, Ralph L, Sakaue, Saori, Sale, Michele M, Salomaa, Veikko, Sapkota, Bishwa R, Schmidt, Reinhold, Schmidt, Carsten O, Schminke, Ulf, Sharma, Pankaj, Slowik, Agnieszka, Sudlow, Cathie LM, Tanislav, Christian, Tatlisumak, Turgut, Taylor, Kent D, Thijs, Vincent NS, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiedt, Steffen, Tzourio, Christophe, van Duijn, Cornelia M, Walters, Matthew, Wareham, Nicholas J, Wassertheil‐Smoller, Sylvia, Wilson, James G, Yusuf, Salim, Amin, Najaf, Aparicio, Hugo S, Arnett, Donna K, Attia, John, Beiser, Alexa S, Berr, Claudine, Buring, Julie E, Bustamante, Mariana, Caso, Valeria, Cheng, Yu‐Ching, Hoan Choi, Seung, Chowhan, Ayesha, Cullell, Natalia, Dartigues, Jean‐François, Delavaran, Hossein, Delgado, Pilar, Dörr, Marcus, Engström, Gunnar, Ford, Ian, Gurpreet, Wander S, Hamsten, Anders, Heitsch, Laura, Hozawa, Atsushi, Ibanez, Laura, Ilinca, Andreea, Ingelsson, Martin, Iwasaki, Motoki, Jackson, Rebecca D, Jood, Katarina, Jousilahti, Pekka, Kaffashian, Sara, Kalra, Lalit, Kamouchi, Masahiro, Kitazono, Takanari, Kjartansson, Olafur, Kloss, Manja, Koudstaal, Peter J, Krupinski, Jerzy, Labovitz, Daniel L, Laurie, Cathy C, Levi, Christopher R, Li, Linxin, Lind, Lars, Lindgren, Cecilia M, Lioutas, Vasileios, Mei Liu, Yong, Lopez, Oscar L, Makoto, Hirata, Martinez‐Majander, Nicolas, Matsuda, Koichi, Minegishi, Naoko, Montaner, Joan, Morris, Andrew P, Muiño, Elena, Müller‐Nurasyid, Martina, Norrving, Bo, Ogishima, Soichi, Parati, Eugenio A, Reddy Peddareddygari, Leema, Pedersen, Nancy L, Pera, Joanna, Perola, Markus, Pezzini, Alessandro, Pileggi, Silvana, Rabionet, Raquel, Riba‐Llena, Iolanda, Ribasés, Marta, Romero, Jose R, Roquer, Jaume, Rudd, Anthony G, Sarin, Antti‐Pekka, Sarju, Ralhan, Sarnowski, Chloe, Sasaki, Makoto, Satizabal, Claudia L, Satoh, Mamoru, Sattar, Naveed, Sawada, Norie, Sibolt, Gerli, Sigurdsson, Ásgeir, Smith, Albert, Sobue, Kenji, Soriano‐Tárraga, Carolina, Stanne, Tara, Colin Stine, O, Stott, David J, Strauch, Konstantin, Takai, Takako, Tanaka, Hideo, Tanno, Kozo, Teumer, Alexander, Tomppo, Liisa, Torres‐Aguila, Nuria P, Touze, Emmanuel, Tsugane, Shoichiro, Uitterlinden, Andre G, Valdimarsson, Einar M, van der Lee, Sven J, Völzke, Henry, Wakai, Kenji, Weir, David, Williams, Stephen R, Wolfe, Charles DA, Wong, Quenna, Xu, Huichun, Yamaji, Taiki, Sanghera, Dharambir K, Melander, Olle, Jern, Christina, Strbian, Daniel, Fernandez‐Cadenas, Israel, Longstreth, W T, Rolfs, Arndt, Hata, Jun, Woo, Daniel, Rosand, Jonathan, Pare, Guillaume, Hopewell, Jemma C, Saleheen, Danish, Stefansson, Kari, Worrall, Bradford B, Kittner, Steven J, Seshadri, Sudha, Fornage, Myriam, Markus, Hugh S, Howson, Joanna MM, Kamatani, Yoichiro, Debette, Stephanie, and Dichgans, Martin
Published: 2022
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7. Apolipoprotein Proteomics for Residual Lipid-Related Risk in Coronary Heart Disease

Author: Clarke, Robert, Von Ende, Adam, Schmidt, Lukas, Yin, Xiaoke, Hill, Michael, Hughes, Alun, Pechlaner, Raimund, Willeit, Johann, Kiechl, Stefan, Watkins, Hugh, Theofilatos, Konstantinos, Hopewell, Jemma C., Mayr, Manuel, Farrall, Martin, Goel, Anuj, Grace, Chris, Peden, John, Kyriakou, Theodosios, Collins, Rory, Hamsten, Anders, Öhrvik, John, Eriksson, Per, Silveira, Angela, Strawbridge, Rona, Sabater Lleal, Maria, Seedorf, Udo, Assmann, Gerd, Barlera, Simona, Tognoni, Gianni, Franzosi, Maria Grazia, Tognoni, Gianni, and Green, Fiona R
Published: 2023
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8. Mendelian randomization with fine-mapped genetic data: choosing from large numbers of correlated instrumental variables

Author: Burgess, Stephen, Zuber, Verena, Valdes-Marquez, Elsa, Sun, Benjamin B, and Hopewell, Jemma C
Subjects: Statistics - Methodology
Abstract: Mendelian randomization uses genetic variants to make causal inferences about the effect of a risk factor on an outcome. With fine-mapped genetic data, there may be hundreds of genetic variants in a single gene region any of which could be used to assess this causal relationship. However, using too many genetic variants in the analysis can lead to spurious estimates and inflated Type 1 error rates. But if only a few genetic variants are used, then the majority of the data is ignored and estimates are highly sensitive to the particular choice of variants. We propose an approach based on summarized data only (genetic association and correlation estimates) that uses principal components analysis to form instruments. This approach has desirable theoretical properties: it takes the totality of data into account and does not suffer from numerical instabilities. It also has good properties in simulation studies: it is not particularly sensitive to varying the genetic variants included in the analysis or the genetic correlation matrix, and it does not have greatly inflated Type 1 error rates. Overall, the method gives estimates that are not so precise as those from variable selection approaches (such as using a conditional analysis or pruning approach to select variants), but are more robust to seemingly arbitrary choices in the variable selection step. Methods are illustrated by an example using genetic associations with testosterone for 320 genetic variants to assess the effect of sex hormone-related pathways on coronary artery disease risk, in which variable selection approaches give inconsistent inferences.
Published: 2017

9. Causal Effect of Plasminogen Activator Inhibitor Type 1 on Coronary Heart Disease

Author: Song, Ci, Burgess, Stephen, Eicher, John D, O'Donnell, Christopher J, Johnson, Andrew D, Huang, Jie, Sabater‐Lleal, Maria, Asselbergs, Folkert W, Tregouet, David, Shin, So‐Youn, Ding, Jingzhong, Baumert, Jens, Oudot‐Mellakh, Tiphaine, Folkersen, Lasse, Smith, Nicholas L, Williams, Scott M, Ikram, Mohammad A, Kleber, Marcus E, Becker, Diane M, Truong, Vinh, Mychaleckyj, Josyf C, Tang, Weihong, Yang, Qiong, Sennblad, Bengt, Moore, Jason H, Williams, Frances MK, Dehghan, Abbas, Silbernagel, Günther, Schrijvers, Elisabeth MC, Smith, Shelly, Karakas, Mahir, Tofler, Geoffrey H, Silveira, Angela, Navis, Gerjan J, Lohman, Kurt, Chen, Ming‐Huei, Peters, Annette, Goel, Anuj, Hopewell, Jemma C, Chambers, John C, Saleheen, Danish, Lundmark, Per, Psaty, Bruce M, Strawbridge, Rona J, Boehm, Bernhard O, Carter, Angela M, Meisinger, Christa, Peden, John F, Bis, Joshua C, McKnight, Barbara, Öhrvik, John, Taylor, Kent, Franzosi, Maria Grazia, Seedorf, Udo, Collins, Rory, Franco‐Cereceda, Anders, Syvänen, Ann‐Christine, Goodall, Alison H, Yanek, Lisa R, Cushman, Mary, Müller‐Nurasyid, Martina, Folsom, Aaron R, Basu, Saonli, Matijevic, Nena, van Gilst, Wiek H, Kooner, Jaspal S, Hofman, Albert, Danesh, John, Clarke, Robert, Meigs, James B, Kathiresan, Sekar, Reilly, Muredach P, Klopp, Norman, Harris, Tamara B, Winkelmann, Bernhard R, Grant, Peter J, Hillege, Hans L, Watkins, Hugh, Spector, Timothy D, Becker, Lewis C, Tracy, Russell P, März, Winfried, Uitterlinden, Andre G, Eriksson, Per, Cambien, Francois, Morange, Pierre‐Emmanuel, Koenig, Wolfgang, Soranzo, Nicole, van der Harst, Pim, Liu, Yongmei, Hamsten, Anders, Ehret, Georg B, Munroe, Patricia B, Rice, Kenneth M, Bochud, Murielle, Chasman, Daniel I, Smith, Albert V, Tobin, Martin D, and Verwoert, Germaine C
Subjects: Clinical Research, Heart Disease - Coronary Heart Disease, Cardiovascular, Heart Disease, Aging, Biomarkers, Blood Glucose, Coronary Disease, Fibrinolysis, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Incidence, Lipoproteins, HDL, Mendelian Randomization Analysis, Multivariate Analysis, Observational Studies as Topic, Odds Ratio, Plasminogen Activator Inhibitor 1, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, coronary heart disease, genome-wide association study, Mendelian randomization, plasminogen activator inhibitor type 1, single nucleotide polymorphism, genome‐wide association study, Cardiorespiratory Medicine and Haematology
Abstract: Plasminogen activator inhibitor type 1 (PAI-1) plays an essential role in the fibrinolysis system and thrombosis. Population studies have reported that blood PAI-1 levels are associated with increased risk of coronary heart disease (CHD). However, it is unclear whether the association reflects a causal influence of PAI-1 on CHD risk. To evaluate the association between PAI-1 and CHD, we applied a 3-step strategy. First, we investigated the observational association between PAI-1 and CHD incidence using a systematic review based on a literature search for PAI-1 and CHD studies. Second, we explored the causal association between PAI-1 and CHD using a Mendelian randomization approach using summary statistics from large genome-wide association studies. Finally, we explored the causal effect of PAI-1 on cardiovascular risk factors including metabolic and subclinical atherosclerosis measures. In the systematic meta-analysis, the highest quantile of blood PAI-1 level was associated with higher CHD risk comparing with the lowest quantile (odds ratio=2.17; 95% CI: 1.53, 3.07) in an age- and sex-adjusted model. The effect size was reduced in studies using a multivariable-adjusted model (odds ratio=1.46; 95% CI: 1.13, 1.88). The Mendelian randomization analyses suggested a causal effect of increased PAI-1 level on CHD risk (odds ratio=1.22 per unit increase of log-transformed PAI-1; 95% CI: 1.01, 1.47). In addition, we also detected a causal effect of PAI-1 on elevating blood glucose and high-density lipoprotein cholesterol. Our study indicates a causal effect of elevated PAI-1 level on CHD risk, which may be mediated by glucose dysfunction.
Published: 2017

10. The Use of Primary Care Big Data in Understanding the Pharmacoepidemiology of COVID-19: A Consensus Statement From the COVID-19 Primary Care Database Consortium

Author: Dambha-Miller, Hajira, Griffin, Simon J., Young, Duncan, Watkinson, Peter, Tan, Pui San, Clift, Ashley K., Payne, Rupert A., Coupland, Carol, Hopewell, Jemma C., Mant, Jonathan, Martin, Richard M., and Hippisley-Cox, Julia
Subjects: Medical research -- Methods, Medicine, Experimental -- Methods, Big data -- Usage -- Health aspects, Medical records -- Usage, Primary health care, Health, Science and technology
Abstract: The use of big data containing millions of primary care medical records provides an opportunity for rapid research to help inform patient care and policy decisions during the first and subsequent waves of the coronavirus disease 2019 (COVID-19) pandemic. Routinely collected primary care data have previously been used for national pandemic surveillance, quantifying associations between exposures and outcomes, identifying high risk populations, and examining the effects of interventions at scale, but there is no consensus on how to effectively conduct or report these data for COVID-19 research. A COVID-19 primary care database consortium was established in April 2020 and its researchers have ongoing COVID-19 projects in overlapping data sets with over 40 million primary care records in the United Kingdom that are variously linked to public health, secondary care, and vital status records. This consensus agreement is aimed at facilitating transparency and rigor in methodological approaches, and consistency in defining and reporting cases, exposures, confounders, stratification variables, and outcomes in relation to the pharmacoepidemiology of COVID-19. This will facilitate comparison, validation, and meta-analyses of research during and after the pandemic. Key words: big data; coronavirus; epidemiology; primary health care, INTRODUCTION Primary care big data refers to routinely collected anonymized general practitioner (GP) electronic health records that form large and complex longitudinal databases, often with hundreds of variables at an [...]
Published: 2021
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11. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries

Author: Mishra, Aniket, Malik, Rainer, Hachiya, Tsuyoshi, Jürgenson, Tuuli, Namba, Shinichi, Posner, Daniel C., Kamanu, Frederick K., Koido, Masaru, Le Grand, Quentin, Shi, Mingyang, He, Yunye, Georgakis, Marios K., Caro, Ilana, Krebs, Kristi, Liaw, Yi-Ching, Vaura, Felix C., Lin, Kuang, Winsvold, Bendik Slagsvold, Srinivasasainagendra, Vinodh, Parodi, Livia, Bae, Hee-Joon, Chauhan, Ganesh, Chong, Michael R., Tomppo, Liisa, Akinyemi, Rufus, Roshchupkin, Gennady V., Habib, Naomi, Jee, Yon Ho, Thomassen, Jesper Qvist, Abedi, Vida, Cárcel-Márquez, Jara, Nygaard, Marianne, Leonard, Hampton L., Yang, Chaojie, Yonova-Doing, Ekaterina, Knol, Maria J., Lewis, Adam J., Judy, Renae L., Ago, Tetsuro, Amouyel, Philippe, Armstrong, Nicole D., Bakker, Mark K., Bartz, Traci M., Bennett, David A., Bis, Joshua C., Bordes, Constance, Børte, Sigrid, Cain, Anael, Ridker, Paul M., Cho, Kelly, Chen, Zhengming, Cruchaga, Carlos, Cole, John W., de Jager, Phil L., de Cid, Rafael, Endres, Matthias, Ferreira, Leslie E., Geerlings, Mirjam I., Gasca, Natalie C., Gudnason, Vilmundur, Hata, Jun, He, Jing, Heath, Alicia K., Ho, Yuk-Lam, Havulinna, Aki S., Hopewell, Jemma C., Hyacinth, Hyacinth I., Inouye, Michael, Jacob, Mina A., Jeon, Christina E., Jern, Christina, Kamouchi, Masahiro, Keene, Keith L., Kitazono, Takanari, Kittner, Steven J., Konuma, Takahiro, Kumar, Amit, Lacaze, Paul, Launer, Lenore J., Lee, Keon-Joo, Lepik, Kaido, Li, Jiang, Li, Liming, Manichaikul, Ani, Markus, Hugh S., Marston, Nicholas A., Meitinger, Thomas, Mitchell, Braxton D., Montellano, Felipe A., Morisaki, Takayuki, Mosley, Thomas H., Nalls, Mike A., Nordestgaard, Børge G., O’Donnell, Martin J., Okada, Yukinori, Onland-Moret, N. Charlotte, Ovbiagele, Bruce, Peters, Annette, Psaty, Bruce M., Rich, Stephen S., Rosand, Jonathan, Sabatine, Marc S., Sacco, Ralph L., Saleheen, Danish, Sandset, Else Charlotte, Salomaa, Veikko, Sargurupremraj, Muralidharan, Sasaki, Makoto, Satizabal, Claudia L., Schmidt, Carsten O., Shimizu, Atsushi, Smith, Nicholas L., Sloane, Kelly L., Sutoh, Yoichi, Sun, Yan V., Tanno, Kozo, Tiedt, Steffen, Tatlisumak, Turgut, Torres-Aguila, Nuria P., Tiwari, Hemant K., Trégouët, David-Alexandre, Trompet, Stella, Tuladhar, Anil Man, Tybjærg-Hansen, Anne, van Vugt, Marion, Vibo, Riina, Verma, Shefali S., Wiggins, Kerri L., Wennberg, Patrik, Woo, Daniel, Wilson, Peter W. F., Xu, Huichun, Yang, Qiong, Yoon, Kyungheon, Millwood, Iona Y., Gieger, Christian, Ninomiya, Toshiharu, Grabe, Hans J., Jukema, J. Wouter, Rissanen, Ina L., Strbian, Daniel, Kim, Young Jin, Chen, Pei-Hsin, Mayerhofer, Ernst, Howson, Joanna M. M., Irvin, Marguerite R., Adams, Hieab, Wassertheil-Smoller, Sylvia, Christensen, Kaare, Ikram, Mohammad A., Rundek, Tatjana, Worrall, Bradford B., Lathrop, G. Mark, Riaz, Moeen, Simonsick, Eleanor M., Kõrv, Janika, França, Paulo H. C., Zand, Ramin, Prasad, Kameshwar, Frikke-Schmidt, Ruth, de Leeuw, Frank-Erik, Liman, Thomas, Haeusler, Karl Georg, Ruigrok, Ynte M., Heuschmann, Peter Ulrich, Longstreth, W. T., Jung, Keum Ji, Bastarache, Lisa, Paré, Guillaume, Damrauer, Scott M., Chasman, Daniel I., Rotter, Jerome I., Anderson, Christopher D., Zwart, John-Anker, Niiranen, Teemu J., Fornage, Myriam, Liaw, Yung-Po, Seshadri, Sudha, Fernández-Cadenas, Israel, Walters, Robin G., Ruff, Christian T., Owolabi, Mayowa O., Huffman, Jennifer E., Milani, Lili, Kamatani, Yoichiro, Dichgans, Martin, and Debette, Stephanie
Published: 2022
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12. Independent relevance of adiposity measures to coronary heart disease risk among 0.5 million adults in UK Biobank

Author: Trichia, Eirini, primary, Malden, Debbie E, additional, Jin, Danyao, additional, Wright, Neil, additional, Taylor, Hannah, additional, Karpe, Fredrik, additional, Sherliker, Paul, additional, Murgia, Federico, additional, Hopewell, Jemma C, additional, Lacey, Ben, additional, Emberson, Jonathan, additional, Bennett, Derrick, additional, and Lewington, Sarah, additional
Published: 2023
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13. Serious Adverse Effects of Extended-release Niacin/Laropiprant: Results From the Heart Protection Study 2–Treatment of HDL to Reduce the Incidence of Vascular Events (HPS2-THRIVE) Trial

Author: Haynes, Richard, Valdes-Marquez, Elsa, Hopewell, Jemma C., Chen, Fang, Li, Jing, Parish, Sarah, Landray, Martin J., Armitage, Jane, Collins, R., Armitage, J., Baigent, C., Chen, Z., Landray, M.J., Chen, Y., Jiang, L., Pedersen, T., Bowman, L., Haynes, R., Rahimi, K., Tobert, J., Sleight, P., Simpson, D., Parish, S., Baxter, A., Lay, M., Bray, C., Wincott, E., van Leijenhorst, G., Mitchel, Y., and Kuznetsova, O.
Published: 2019
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14. Association of the PHACTR1/EDN1 Genetic Locus With Spontaneous Coronary Artery Dissection

Author: Motreff, Pascal, Belle, Loïc, Dupouy, Patrick, Barnay, Pierre, Meneveau, Nicolas, Gilard, Martine, Rioufol, Gilles, Range, Grégoire, Brunel, Philippe, Delarche, Nicolas, Filippi, Emmanuelle, Le Bivic, Louis, Harbaoui, Brahim, Benamer, Hakim, Cayla, Guillaume, Varenne, Olivier, Manzo-Silberman, Stephane Peggy, Silvain, Johanne, Spaulding, Christian, Caussin, Christophe, Gerbaud, Edouard, Valy, Yann, Koning, René, Lhermusier, Thibault, Champin, Stanislas, Salengro, Emmanuel, Fluttaz, Arnaud, Zabalawi, Amer, Cottin, Yves, Teiger, Emmanuel, Saint-Etienne, Christophe, Ducrocq, Grégory, Marliere, Stéphanie, Boiffard, Emmanuel, Aubry, Pierre, Georges, Jean Louis, Bresson, Didier, De Poli, Fabien, Karrillon, Gaëtan, Roule, Vincent, Bali, Laurent, Valla, Mathieu, Gerbay, Antoine, Houpe, David, Dubreuil, Olivier, Monnier, Arsène, Mayaud, Norbert, Manchuelle, Aurélie, Commeau, Philippe, Bedossa, Marc, Nikpay, Majid, Goel, Anuj, Won, Hong-Hee, Hall, Leanne M., Willenborg, Christina, Kanoni, Stavroula, Saleheen, Danish, Kyriakou, Theodosios, Nelson, Christopher P., Hopewell, Jemma C., Webb, Thomas R., Zeng, Lingyao, Dehghan, Abbas, Alver, Maris, Armasu, Sebastian M., Auro, Kirsi, Bjonnes, Andrew, Chasman, Daniel I., Chen, Shufeng, Ford, Ian, Franceschini, Nora, Gieger, Christian, Grace, Christopher, Gustafsson, Stefan, Huang, Jie, Hwang, Shih-Jen, Kim, Yun Kyoung, Kleber, Marcus E., Lau, King Wai, Lu, Xiangfeng, Lu, Yingchang, Lyytikäinen, Leo P., Mihailov, Evelin, Morrison, Alanna, Pervjakova, Natalia, Qu, Liming, Rose, Lynda M., Salfati, Elias, Saxena, Richa, Scholz, Markus, Smith, Albert V., Tikkanen, Emmi, Uitterlinden, Andre, Yang, Xueli, Zhang, Weihua, Zhao, Wei, de Andrade, Mariza, de Vries, Paul S., van Zuydam, Natalie R., Anand, Sonia S., Bertram, Lars, Beutner, Frank, Dedoussis, George, Frossard, Philippe, Gauguier, Dominique, Goodall, Alison H., Gottesman, Omri, Haber, Marc, Han, Bok-Ghee, Huang, Jianfeng, Jalilzadeh, Shapour, Kessler, Thorsten, König, Inke R., Lannfelt, Lars, Lieb, Wolfgang, Lind, Lars, Lindgren, Cecilia M., Lokki, Maisa, Magnusson, Patrik K., Mallick, Nadeem H., Mehra, Narinder, Meitinger, Thomas, Memon, Fazal-ur-Rehman, Morris, Andrew P., Nieminen, Markku S., Pedersen, Nancy L., Peters, Annette, Rallidis, Loukianos S., Rasheed, Asif, Samuel, Maria, Shah, Svati H., Sinisalo, Juha, Stirrups, Kathleen E., Trompet, Stella, Wang, Laiyuan, Zaman, Khan S., Ardissino, Diego, Boerwinkle, Eric, Borecki, Ingrid B., Bottinger, Erwin P., Buring, Julie E., Chambers, John C., Collins, Rory, Cupples, L Adrienne, Danesh, John, Demuth, Ilja, Elosua, Roberto, Epstein, Stephen E., Esko, Tõnu, Feitosa, Mary F., Franco, Oscar H., Franzosi, Maria Grazia, Granger, Christopher B., Gu, Dongfeng, Gudnason, Vilmundur, Hall, Alistair S., Hamsten, Anders, Harris, Tamara B., Hazen, Stanley L., Hengstenberg, Christian, Hofman, Albert, Ingelsson, Erik, Iribarren, Carlos, Jukema, J Wouter, Karhunen, Pekka J., Kim, Bong-Jo, Kooner, Jaspal S., Kullo, Iftikhar J., Lehtimäki, Terho, Loos, Ruth J., Melander, Olle, Metspalu, Andres, März, Winfried, Palmer, Colin N., Perola, Markus, Quertermous, Thomas, Rader, Daniel J., Ridker, Paul M., Ripatti, Samuli, Roberts, Robert, Salomaa, Veikko, Sanghera, Dharambir K., Schwartz, Stephen M., Seedorf, Udo, Stewart, Alexandre F., Stott, David J., Thiery, Joachim, Zalloua, Pierre A., O'Donnell, Christopher J., Reilly, Muredach P., Assimes, Themistocles L., Thompson, John R., Erdmann, Jeanette, Clarke, Robert, Watkins, Hugh, Kathiresan, Sekar, McPherson, Ruth, Deloukas, Panos, Schunkert, Heribert, Samani, Nilesh J., Farrall, Martin, Adlam, David, Olson, Timothy M., Combaret, Nicolas, Kovacic, Jason C., Iismaa, Siiri E., Al-Hussaini, Abtehale, O'Byrne, Megan M., Bouajila, Sara, Georges, Adrien, Mishra, Ketan, Braund, Peter S., d’Escamard, Valentina, Huang, Siying, Margaritis, Marios, Kadian-Dodov, Daniella, Welch, Catherine A., Mazurkiewicz, Stephani, Jeunemaitre, Xavier, Wong, Claire Mei Yi, Giannoulatou, Eleni, Sweeting, Michael, Muller, David, Wood, Alice, McGrath-Cadell, Lucy, Fatkin, Diane, Dunwoodie, Sally L., Harvey, Richard, Holloway, Cameron, Empana, Jean-Philippe, Jouven, Xavier, Olin, Jeffrey W., Gulati, Rajiv, Tweet, Marysia S., Hayes, Sharonne N., Graham, Robert M., and Bouatia-Naji, Nabila
Published: 2019
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15. Genetic associations of adult height with risk of cardioembolic and other subtypes of ischemic stroke: A mendelian randomization study in multiple ancestries

Author: Linden, Andrew B., Clarke, Robert, Hammami, Imen, Hopewell, Jemma C., Guo, Yu, Whiteley, William N., Lin, Kuang, Turnbull, Iain, Chen, Yiping, Yu, Canqing, Lv, Jun, Offer, Alison, Bennett, Derrick, Walters, Robin G., Li, Liming, Chen, Zhengming, and Parish, Sarah
Subjects: Stature, Tall -- Health aspects, Stroke (Disease) -- Risk factors -- Genetic aspects -- Prevention, Genetic research, Atrial fibrillation -- Risk factors -- Genetic aspects, Genetic variation -- Health aspects, Biological sciences
Abstract: Background Taller adult height is associated with lower risks of ischemic heart disease in mendelian randomization (MR) studies, but little is known about the causal relevance of height for different subtypes of ischemic stroke. The present study examined the causal relevance of height for different subtypes of ischemic stroke. Methods and findings Height-associated genetic variants (up to 2,337) from previous genome-wide association studies (GWASs) were used to construct genetic instruments in different ancestral populations. Two-sample MR approaches were used to examine the associations of genetically determined height with ischemic stroke and its subtypes (cardioembolic stroke, large-artery stroke, and small-vessel stroke) in multiple ancestries (the MEGASTROKE consortium, which included genome-wide studies of stroke and stroke subtypes: 60,341 ischemic stroke cases) supported by additional cases in individuals of white British ancestry (UK Biobank [UKB]: 4,055 cases) and Chinese ancestry (China Kadoorie Biobank [CKB]: 10,297 cases). The associations of genetically determined height with established cardiovascular and other risk factors were examined in 336,750 participants from UKB and 58,277 participants from CKB. In MEGASTROKE, genetically determined height was associated with a 4% lower risk (odds ratio [OR] 0.96; 95% confidence interval [CI] 0.94, 0.99; p = 0.007) of ischemic stroke per 1 standard deviation (SD) taller height, but this masked a much stronger positive association of height with cardioembolic stroke (13% higher risk, OR 1.13 [95% CI 1.07, 1.19], p < 0.001) and stronger inverse associations with large-artery stroke (11% lower risk, OR 0.89 [0.84, 0.95], p < 0.001) and small-vessel stroke (13% lower risk, OR 0.87 [0.83, 0.92], p < 0.001). The findings in both UKB and CKB were directionally concordant with those observed in MEGASTROKE, but did not reach statistical significance: For presumed cardioembolic stroke, the ORs were 1.08 (95% CI 0.86, 1.35; p = 0.53) in UKB and 1.20 (0.77, 1.85; p = 0.43) in CKB; for other subtypes of ischemic stroke in UKB, the OR was 0.97 (95% CI 0.90, 1.05; p = 0.49); and for other nonlacunar stroke and lacunar stroke in CKB, the ORs were 0.89 (0.80, 1.00; p = 0.06) and 0.99 (0.88, 1.12; p = 0.85), respectively. In addition, genetically determined height was also positively associated with atrial fibrillation (available only in UKB), and with lean body mass and lung function, and inversely associated with low-density lipoprotein (LDL) cholesterol in both British and Chinese ancestries. Limitations of this study include potential bias from assortative mating or pleiotropic effects of genetic variants and incomplete generalizability of genetic instruments to different populations. Conclusions The findings provide support for a causal association of taller adult height with higher risk of cardioembolic stroke and lower risk of other ischemic stroke subtypes in diverse ancestries. Further research is needed to understand the shared biological and physical pathways underlying the associations between height and stroke risks, which could identify potential targets for treatments to prevent stroke., Author(s): Andrew B. Linden 1, Robert Clarke 1, Imen Hammami 1, Jemma C. Hopewell 1, Yu Guo 2, William N. Whiteley 1,3, Kuang Lin 1, Iain Turnbull 1, Yiping Chen [...]
Published: 2022
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16. Assessment of the causal relevance of ECG parameters for risk of atrial fibrillation: A mendelian randomisation study

Author: Gajendragadkar, Parag Ravindra, Von Ende, Adam, Ibrahim, Maysson, Valdes-Marquez, Elsa, Camm, Christian Fielder, Murgia, Federico, Stiby, Alexander, Casadei, Barbara, and Hopewell, Jemma C.
Subjects: Atrial fibrillation -- Risk factors -- Diagnosis -- Statistics, Electrocardiography -- Methods -- Statistics, Electrocardiogram -- Methods -- Statistics, Biological sciences
Abstract: Background Atrial electrical and structural remodelling in older individuals with cardiovascular risk factors has been associated with changes in surface electrocardiographic (ECG) parameters (e.g., prolongation of the PR interval) and higher risks of atrial fibrillation (AF). However, it has been difficult to establish whether altered ECG parameters are the cause or a consequence of the myocardial substrate leading to AF. This study aimed to examine the potential causal relevance of ECG parameters on risk of AF using mendelian randomisation (MR). Methods and findings Weighted genetic scores explaining lifelong differences in P-wave duration, PR interval, and QT interval were constructed, and associations between these ECG scores and risk of AF were estimated among 278,792 UK Biobank participants (mean age: 57 years at recruitment; 19,132 AF cases). The independent genetic variants contributing to each of the separate ECG scores, and their corresponding weights, were based on published genome-wide association studies. In UK Biobank, genetic scores representing a 5 ms longer P-wave duration or PR interval were significantly associated with lower risks of AF (odds ratio [OR] 0.91; 95% confidence interval [CI]: 0.87-0.96, P = 2 x 10.sup.-4 and OR 0.94; 95% CI: 0.93-0.96, P = 2 x 10.sup.-19, respectively), while longer QT interval was not significantly associated with AF. These effects were independently replicated among a further 17,931 AF cases from the AFGen Consortium. Investigation of potential mechanistic pathways showed that differences in ECG parameters associated with specific ion channel genes had effects on risk of AF consistent with the overall scores, while the overall scores were not associated with changes in left atrial size. Limitations of the study included the inherent assumptions of MR, restriction to individuals of European ancestry, and possible restriction of results to the normal ECG ranges represented in UK Biobank. Conclusions In UK Biobank, we observed evidence suggesting a causal relationship between lifelong differences in ECG parameters (particularly PR interval) that reflect longer atrial conduction times and a lower risk of AF. These findings, which appear to be independent of atrial size and concomitant cardiovascular comorbidity, support the relevance of varying mechanisms underpinning AF and indicate that more individualised treatment strategies warrant consideration., Author(s): Parag Ravindra Gajendragadkar 1,2, Adam Von Ende 1, Maysson Ibrahim 1, Elsa Valdes-Marquez 1, Christian Fielder Camm 1, Federico Murgia 1, Alexander Stiby 1, Barbara Casadei 2, Jemma C. [...]
Published: 2021
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17. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

Author: Malik, Rainer, Chauhan, Ganesh, Traylor, Matthew, Sargurupremraj, Muralidharan, Okada, Yukinori, Mishra, Aniket, Rutten-Jacobs, Loes, Giese, Anne-Katrin, van der Laan, Sander W., Gretarsdottir, Solveig, Anderson, Christopher D., Chong, Michael, Adams, Hieab H. H., Ago, Tetsuro, Almgren, Peter, Amouyel, Philippe, Ay, Hakan, Bartz, Traci M., Benavente, Oscar R., Bevan, Steve, Boncoraglio, Giorgio B., Brown, Jr, Robert D., Butterworth, Adam S., Carrera, Caty, Carty, Cara L., Chasman, Daniel I., Chen, Wei-Min, Cole, John W., Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul I. W., DeStefano, Anita L., den Hoed, Marcel, Duan, Qing, Engelter, Stefan T., Falcone, Guido J., Gottesman, Rebecca F., Grewal, Raji P., Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeffrey, Harris, Tamara B., Hassan, Ahamad, Havulinna, Aki S., Heckbert, Susan R., Holliday, Elizabeth G., Howard, George, Hsu, Fang-Chi, Hyacinth, Hyacinth I., Ikram, M. Arfan, Ingelsson, Erik, Irvin, Marguerite R., Jian, Xueqiu, Jiménez-Conde, Jordi, Johnson, Julie A., Jukema, J. Wouter, Kanai, Masahiro, Keene, Keith L., Kissela, Brett M., Kleindorfer, Dawn O., Kooperberg, Charles, Kubo, Michiaki, Lange, Leslie A., Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lee, Jin-Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M., Lin, Wei-Yu, Lindgren, Arne G., Lorentzen, Erik, Magnusson, Patrik K., Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F., Meschia, James F., Mitchell, Braxton D., Mosley, Thomas H., Nalls, Michael A., Ninomiya, Toshiharu, O’Donnell, Martin J., Psaty, Bruce M., Pulit, Sara L., Rannikmäe, Kristiina, Reiner, Alexander P., Rexrode, Kathryn M., Rice, Kenneth, Rich, Stephen S., Ridker, Paul M., Rost, Natalia S., Rothwell, Peter M., Rotter, Jerome I., Rundek, Tatjana, Sacco, Ralph L., Sakaue, Saori, Sale, Michele M., Salomaa, Veikko, Sapkota, Bishwa R., Schmidt, Reinhold, Schmidt, Carsten O., Schminke, Ulf, Sharma, Pankaj, Slowik, Agnieszka, Sudlow, Cathie L. M., Tanislav, Christian, Tatlisumak, Turgut, Taylor, Kent D., Thijs, Vincent N. S., Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiedt, Steffen, Trompet, Stella, Tzourio, Christophe, van Duijn, Cornelia M., Walters, Matthew, Wareham, Nicholas J., Wassertheil-Smoller, Sylvia, Wilson, James G., Wiggins, Kerri L., Yang, Qiong, Yusuf, Salim, Bis, Joshua C., Pastinen, Tomi, Ruusalepp, Arno, Schadt, Eric E., Koplev, Simon, Björkegren, Johan L. M., Codoni, Veronica, Civelek, Mete, Smith, Nicholas L., Trégouët, David A., Christophersen, Ingrid E., Roselli, Carolina, Lubitz, Steven A., Ellinor, Patrick T., Tai, E. Shyong, Kooner, Jaspal S., Kato, Norihiro, He, Jiang, van der Harst, Pim, Elliott, Paul, Chambers, John C., Takeuchi, Fumihiko, Johnson, Andrew D., Sanghera, Dharambir K., Melander, Olle, Jern, Christina, Strbian, Daniel, Fernandez-Cadenas, Israel, Longstreth, Jr, W. T., Rolfs, Arndt, Hata, Jun, Woo, Daniel, Rosand, Jonathan, Pare, Guillaume, Hopewell, Jemma C., Saleheen, Danish, Stefansson, Kari, Worrall, Bradford B., Kittner, Steven J., Seshadri, Sudha, Fornage, Myriam, Markus, Hugh S., Howson, Joanna M. M., Kamatani, Yoichiro, Debette, Stephanie, and Dichgans, Martin
Published: 2018
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18. Impact of ADCY9 Genotype on Response to Anacetrapib

Author: Hopewell, Jemma C., Ibrahim, Maysson, Hill, Michael, Shaw, Peter M., Braunwald, Eugene, Blaustein, Robert O., Bowman, Louise, Landray, Martin J., Sabatine, Marc S., and Collins, Rory
Published: 2019
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19. Relative effects of LDL-C on ischemic stroke and coronary disease: A Mendelian randomization study

Author: Valdes-Marquez, Elsa, Parish, Sarah, Clarke, Robert, Stari, Traiani, Worrall, Bradford B., and Hopewell, Jemma C.
Published: 2019
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20. Serum magnesium and calcium levels in relation to ischemic stroke: Mendelian randomization study

Author: Larsson, Susanna C., Traylor, Matthew, Burgess, Stephen, Boncoraglio, Giorgio B., Jern, Christina, Michaëlsson, Karl, Markus, Hugh S., Malik, Rainer, Chauhan, Ganesh, Traylor, Matthew, Sargurupremraj, Muralidharan, Okada, Yukinori, Mishra, Aniket, Rutten-Jacobs, Loes, Giese, Anne-Katrin, van der Laan, Sander W, Gretarsdottir, Solveig, Anderson, Christopher D, Chong, Michael, Adams, Hieab HH, Ago, Tetsuro, Almgren, Peter, Amouyel, Philippe, Ay, Hakan, Bartz, raci M, Benavente, Oscar R, Bevan, Steve, Boncoraglio, Giorgio B, Brown, Robert D, Jr., Butterworth, Adam S, Carrera, Caty, Carty, Cara L, Chasman, Daniel I, Chen, Wei-Min, Cole, John W, Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul IW, DeStefano, Anita L, Hoed, Marcel den, Duan, Qing, Engelter, Stefan T, Falcone, Guido J, Gottesman, Rebecca F, Grewal, Raji P, Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeffrey, Harris, Tamara B, Hassan, Ahamad, Havulinna, Aki S, Heckbert, Susan R, Holliday, Elizabeth G, Howard, George, Hsu, Fang-Chi, Hyacinth, Hyacinth I, Ikram, M Arfan, Ingelsson, Erik, Irvin, Marguerite R, Jian, Xueqiu, Jiménez-Conde, Jordi, Johnson, Julie A, Jukema, J Wouter, Kanai, Masahiro, Keene, Keith L, Kissela, Brett M, Kleindorfer, Dawn O, Kooperberg, Charles, Kubo, Michiaki, Lange, Leslie A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Jin-Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M, Lin, Wei-Yu, Lindgren, Arne G, Lorentzen, Erik, Magnusson, Patrik K, Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F, Meschia, James F, Mitchell, Braxton D, Mosley, Thomas H, Nalls, Michael A, Ninomiya, Toshiharu, OʼDonnell, Martin J, Psaty, Bruce M, Pulit, Sara L, Rannikmäe, Kristiina, Reiner, Alexander P, Rexrode, Kathryn M, Rice, Kenneth, Rich, Stephen S, Ridker, Paul M, Rost, Natalia S, Rothwell, Peter M, Rotter, Jerome I, Rundek, Tatjana, Sacco, Ralph L, Sakaue, Saori, Sale, Michele M, Salomaa, Veikko, Sapkota, Bishwa R, Schmidt, Reinhold, Schmidt, Carsten O, Schminke, Ulf, Sharma, Pankaj, Slowik, Agnieszka, Sudlow, Cathie LM, Tanislav, Christian, Tatlisumak, Turgut, Taylor, Kent D, Thijs, Vincent NS, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiedt, Steffen, Trompet, Stella, Tzourio, Christophe, van Duijn, Cornelia M, Walters, Matthew, Wareham, Nicholas J, Wassertheil-Smoller, Sylvia, Wilson, James G, Wiggins, Kerri L, Yang, Qiong, Yusuf, Salim, Amin, Najaf, Aparicio, Hugo S, Arnett, Donna K, Attia, John, Beiser, Alexa S, Berr, Claudine, Buring, Julie E, Bustamante, Mariana, Caso, Valeria, Cheng, Yu-Ching, Choi, Seung Hoan, Chowhan, Ayesha, Cullell, Natalia, Dartigues, Jean-François, Delavaran, Hossein, Delgado, Pilar, Dörr, Marcus, Engström, Gunnar, Ford, Ian, Gurpreet, Wander S, Hamsten, Anders, Heitsch, Laura, Hozawa, Atsushi, Ibanez, Laura, Ilinca, Andreea, Ingelsson, Martin, Iwasaki, Motoki, Jackson, Rebecca D, Jood, Katarina, Jousilahti, Pekka, Kaffashian, Sara, Kalra, Lalit, Kamouchi, Masahiro, Kitazono, Takanari, Kjartansson, Olafur, Kloss, Manja, Koudstaal, Peter J, Krupinski, Jerzy, Labovitz, Daniel L, Laurie, Cathy C, Levi, Christopher R, Li, Linxin, Lind, Lars, Lindgren, Cecilia M, Lioutas, Vasileios, Liu, Yong Mei, Lopez, Oscar L, Makoto, Hirata, Martinez-Majander, Nicolas, Matsuda, Koichi, Minegishi, Naoko, Montaner, Joan, Morris, Andrew P, Muiño, Elena, Müller-Nurasyid, Martina, Norrving, Bo, Ogishima, Soichi, Parati, Eugenio A, Peddareddygari, Leema Reddy, Pedersen, Nancy L, Pera, Joanna, Perola, Markus, Pezzini, Alessandro, Pileggi, Silvana, Rabionet, Raquel, Riba-Llena, Iolanda, Ribasés, Marta, Romero, Jose R, Roquer, Jaume, Rudd, Anthony G, Sarin, Antti-Pekka, Sarju, Ralhan, Sarnowski, Chloe, Sasaki, Makoto, Satizabal, Claudia L, Satoh, Mamoru, Sattar, Naveed, Sawada, Norie, Sibolt, Gerli, Sigurdsson, Ásgeir, Smith, Albert, Sobue, Kenji, Soriano-Tárraga, Carolina, Stanne, Tara, Stine, O Colin, Stott, David J, Strauch, Konstantin, Takai, Takako, Tanaka, Hideo, Tanno, Kozo, Teumer, Alexander, Tomppo, Liisa, Torres-Aguila, Nuria P, Touze, Emmanuel, Tsugane, Shoichiro, Uitterlinden, Andre G, Valdimarsson, Einar M, van der Lee, Sven J, Völzke, Henry, Wakai, Kenji, Weir, David, Williams, Stephen R, Wolfe, Charles DA, Wong, Quenna, Xu, Huichun, Yamaji, Taiki, Sanghera, Dharambir K, Melander, Olle, Jern, Christina, Strbian, Daniel, Fernandez-Cadenas, Israel, Longstreth, W T, Jr, Rolfs, Arndt, Hata, Jun, Woo, Daniel, Rosand, Jonathan, Pare, Guillaume, Hopewell, Jemma C, Saleheen, Danish, Stefansson, Kari, Worrall, Bradford B, Kittner, Steven J, Seshadri, Sudha, Fornage, Myriam, Markus, Hugh S, Howson, Joanna MM, Kamatani, Yoichiro, Debette, Stephanie, and Dichgans, Martin
Published: 2019
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21. Genetically Determined Levels of Circulating Cytokines and Risk of Stroke: Role of Monocyte Chemoattractant Protein-1

Author: Georgakis, Marios K., Gill, Dipender, Rannikmäe, Kristiina, Traylor, Matthew, Anderson, Christopher D., Lee, Jin-Moo, Kamatani, Yoichiro, Hopewell, Jemma C., Worrall, Bradford B., Bernhagen, Jürgen, Sudlow, Cathie L. M., Malik, Rainer, and Dichgans, Martin
Published: 2019
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22. Impact of New Cardiovascular Events on Quality of Life and Hospital Costs in People With Cardiovascular Disease in the United Kingdom and United States.

Author: Nga Man Lui, Juliana, Williams, Claire, Mi Jun Keng, Hopewell, Jemma C., Sammons, Emily, Fang Chen, Gray, Alastair, Bowman, Louise, Landray, Sir Martin J., and Mihaylova, Borislava
Published: 2023
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23. Proteomic profiling identifies novel independent relationships between inflammatory proteins and myocardial infarction

Author: Valdes-Marquez, Elsa, primary, Clarke, Robert, additional, Hill, Michael, additional, Watkins, Hugh, additional, and Hopewell, Jemma C, additional
Published: 2023
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24. Determining the Relationship Between Blood Pressure, Kidney Function, and Chronic Kidney Disease: Insights From Genetic Epidemiology

Author: Staplin, Natalie, primary, Herrington, William G., additional, Murgia, Federico, additional, Ibrahim, Maysson, additional, Bull, Katherine R., additional, Judge, Parminder K., additional, Ng, Sarah Y.A., additional, Turner, Michael, additional, Zhu, Doreen, additional, Emberson, Jonathan, additional, Landray, Martin J., additional, Baigent, Colin, additional, Haynes, Richard, additional, and Hopewell, Jemma C., additional
Published: 2022
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25. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants

Author: Aragam, Krishna G, Jiang, Tao, Goel, Anuj, Kanoni, Stavroula, Wolford, Brooke N, Atri, Deepak S, Weeks, Elle M, Wang, Minxian, Hindy, George, Zhou, Wei, Grace, Christopher, Roselli, Carolina, Marston, Nicholas A, Kamanu, Frederick K, Surakka, Ida, Venegas, Loreto Muñoz, Sherliker, Paul, Koyama, Satoshi, Ishigaki, Kazuyoshi, Åsvold, Bjørn O, Brown, Michael R, Brumpton, Ben, De Vries, Paul S, Giannakopoulou, Olga, Giardoglou, Panagiota, Gudbjartsson, Daniel F, Güldener, Ulrich, Haider, Syed M Ijlal, Helgadottir, Anna, Ibrahim, Maysson, Kastrati, Adnan, Kessler, Thorsten, Kyriakou, Theodosios, Konopka, Tomasz, Li, Ling, Ma, Lijiang, Meitinger, Thomas, Mucha, Sören, Munz, Matthias, Murgia, Federico, Nielsen, Jonas B, Nöthen, Markus M, Pang, Shichao, Reinberger, Tobias, Schnitzler, Gavin, Smedley, Damian, Thorleifsson, Gudmar, Von Scheidt, Moritz, Ulirsch, Jacob C, Danesh, John, Arnar, David O, Burtt, Noël P, Costanzo, Maria C, Flannick, Jason, Ito, Kaoru, Jang, Dong-Keun, Kamatani, Yoichiro, Khera, Amit V, Komuro, Issei, Kullo, Iftikhar J, Lotta, Luca A, Nelson, Christopher P, Roberts, Robert, Thorgeirsson, Gudmundur, Thorsteinsdottir, Unnur, Webb, Thomas R, Baras, Aris, Björkegren, Johan LM, Boerwinkle, Eric, Dedoussis, George, Holm, Hilma, Hveem, Kristian, Melander, Olle, Morrison, Alanna C, Orho-Melander, Marju, Rallidis, Loukianos S, Ruusalepp, Arno, Sabatine, Marc S, Stefansson, Kari, Zalloua, Pierre, Ellinor, Patrick T, Farrall, Martin, Ruff, Christian T, Finucane, Hilary K, Hopewell, Jemma C, Clarke, Robert, Gupta, Rajat M, Erdmann, Jeanette, Samani, Nilesh J, Schunkert, Heribert, Watkins, Hugh, Willer, Cristen J, Deloukas, Panos, Kathiresan, Sekar, Butterworth, Adam S, Aragam, Krishna G [0000-0003-3223-9131], Goel, Anuj [0000-0003-2307-4021], Kanoni, Stavroula [0000-0002-1691-9615], Wolford, Brooke N [0000-0003-3153-1552], Atri, Deepak S [0000-0001-8139-5419], Weeks, Elle M [0000-0002-4317-4444], Wang, Minxian [0000-0002-3753-508X], Zhou, Wei [0000-0001-7719-0859], Roselli, Carolina [0000-0001-5267-6756], Kamanu, Frederick K [0000-0001-7208-1047], Koyama, Satoshi [0000-0002-9286-0360], Ishigaki, Kazuyoshi [0000-0003-2881-0657], Åsvold, Bjørn O [0000-0003-3837-2101], Brumpton, Ben [0000-0002-3058-1059], Gudbjartsson, Daniel F [0000-0002-5222-9857], Güldener, Ulrich [0000-0001-5052-8610], Helgadottir, Anna [0000-0002-1806-2467], Kessler, Thorsten [0000-0003-3326-1621], Li, Ling [0000-0002-3280-9475], Mucha, Sören [0000-0002-1647-2526], Munz, Matthias [0000-0002-4728-3357], Murgia, Federico [0000-0002-3608-845X], Pang, Shichao [0000-0002-4111-2864], Smedley, Damian [0000-0002-5836-9850], Thorleifsson, Gudmar [0000-0003-4623-9087], von Scheidt, Moritz [0000-0001-7159-8271], Ulirsch, Jacob C [0000-0002-7947-0827], Costanzo, Maria C [0000-0001-9043-693X], Flannick, Jason [0000-0002-3618-795X], Ito, Kaoru [0000-0003-1843-773X], Khera, Amit V [0000-0001-6535-5839], Komuro, Issei [0000-0002-0714-7182], Kullo, Iftikhar J [0000-0002-6524-3471], Roberts, Robert [0000-0002-6792-4633], Webb, Thomas R [0000-0001-5998-8226], Baras, Aris [0000-0002-6830-3396], Björkegren, Johan LM [0000-0003-1945-7425], Holm, Hilma [0000-0002-9517-6636], Morrison, Alanna C [0000-0001-6381-4296], Orho-Melander, Marju [0000-0002-3578-2503], Stefansson, Kari [0000-0003-1676-864X], Farrall, Martin [0000-0003-4564-2165], Finucane, Hilary K [0000-0003-3864-9828], Clarke, Robert [0000-0002-9802-8241], Erdmann, Jeanette [0000-0002-4486-6231], Samani, Nilesh J [0000-0002-3286-8133], Schunkert, Heribert [0000-0001-6428-3001], Watkins, Hugh [0000-0002-5287-9016], Willer, Cristen J [0000-0001-5645-4966], Kathiresan, Sekar [0000-0002-3711-7101], Butterworth, Adam S [0000-0002-6915-9015], and Apollo - University of Cambridge Repository
Subjects: 692/699/75/2, 631/208/205/2138, article, Humans, Coronary Artery Disease, Genome-Wide Association Study
Abstract: Funder: K.G.A. has received support from the American Heart Association Institute for Precision Cardiovascular Medicine (17IFUNP3384001), a KL2/Catalyst Medical Research Investigator Training (CMeRIT) award from the Harvard Catalyst (KL2 TR002542), and the NIH (1K08HL153937)., Funder: B.N.W is supported by the National Science Foundation Graduate Research Program (DGE 1256260)., Funder: I.S. is supported by a Precision Health Scholars Award from the University of Michigan Medical School., Funder: I.K., S.Ko., and K.It. are funded by the Japan Agency for Medical Research and Development, AMED, under Grant Numbers JP16ek0109070h0003, JP18kk0205008h0003, JP18kk0205001s0703, JP20km0405209, and JP20ek0109487. The BioBank Japan is supported by AMED under Grant Number JP20km0605001., Funder: J.L.M.B. acknowledges research support from NIH R01HL125863, American Heart Association (A14SFRN20840000), the Swedish Research Council (2018-02529) and Heart Lung Foundation (20170265) and the Foundation Leducq (PlaqueOmics: Novel Roles of Smooth Muscle and Other Matrix Producing Cells in Atherosclerotic Plaque Stability and Rupture, 18CVD02., Funder: P.S.dV was supported by American Heart Association grant number 18CDA34110116 and National Heart, Lung, and Blood Institute grant R01HL146860. The Atherosclerosis Risk in Communities study has been funded in whole or in part with Federal funds from the National Heart, Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services (contract numbers HHSN268201700001I, HHSN268201700002I, HHSN268201700003I, HHSN268201700004I and HHSN268201700005I), R01HL087641, R01HL059367 and R01HL086694; National Human Genome Research Institute contract U01HG004402; and National Institutes of Health contract HHSN268200625226C. The authors thank the staff and participants of the ARIC study for their important contributions. Infrastructure was partly supported by Grant Number UL1RR025005, a component of the National Institutes of Health and NIH Roadmap for Medical Research., Funder: O.G. has received funding from the British Heart Foundation (BHF) (FS/14/66/3129)., Funder: T.K. is supported by the Corona-Foundation (Junior Research Group Translational Cardiovascular Genomics) and the German Research Foundation (DFG) as part of the Sonderforschungsbereich SFB 1123 (B02)., Funder: D.S.A. has received support from a training grant from the NIH (T32HL007604)., Funder: N.P.B., M.C.C., J.F., and D.-K.J. have been funded by the National Institute of Diabetes and Digestive and Kidney Diseases (2UM1DK105554)., Funder: A.V.K. has been funded by 1K08HG010155 from the National Human Genome Research Institute., Funder: C.P.N. and T.R.W received funding from the British Heart Foundation (SP/16/4/32697)., Funder: The Trøndelag Health Study (The HUNT Study) is a collaboration between HUNT Research Centre (Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology), Trøndelag County Council, Central Norway Regional Health Authority, and the Norwegian Institute of Public Health. The K.G. Jebsen Center for Genetic Epidemiology is financed by Stiftelsen Kristian Gerhard Jebsen; Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology; and Central Norway Regional Health Authority. Whole genome sequencing for the HUNT study was funded by HL109946., Funder: O.M. was funded by the Swedish Heart- and Lung Foundation, the Swedish Research Council, the European Research Council ERC-AdG-2019-885003 and Lund University Infrastructure grant ”Malmö population-based cohorts” (STYR 2019/2046)., Funder: This work was supported by the European Commission (HEALTH-F2–2013-601456) and the TriPartite Immunometabolism Consortium [TrIC]- NovoNordisk Foundation (NNF15CC0018486), VIAgenomics (SP/19/2/344612), the British Heart Foundation, a Wellcome Trust core award (M.F., H.W., 203141/Z/16/Z) and support from the NIHR Oxford Biomedical Research Centre. M.F. and H.W. are members of the Oxford BHF Centre of Research Excellence (RE/13/1/30181). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health., Funder: J.D. is a British Heart Foundation Professor, European Research Council Senior Investigator, and National Institute for Health Research (NIHR) Senior Investigator., Funder: J.C.H. acknowledges personal funding from the British Heart Foundation (FS/14/55/30806) and is a member of the Oxford BHF Centre of Research Excellence (RE/13/1/30181)., Funder: R.C. has received funding from the British Heart Foundation and British Heart Foundation Centre of Research Excellence., Funder: This research was supported by BHF (SP/13/2/30111) and conducted using the UK Biobank Resource (application number 9922)., Funder: The GerMIFs gratefully acknowledge the support of the Bavarian State Ministry of Health and Care, furthermore founded this work within its framework of DigiMed Bayern (grant No: DMB-1805-0001), the German Federal Ministry of Education and Research (BMBF) within the framework of ERA-NET on Cardiovascular Disease (Druggable-MI-genes: 01KL1802), within the scheme of target validation (BlockCAD: 16GW0198K), within the framework of the e:Med research and funding concept (AbCD-Net: 01ZX1706C), the British Heart Foundation (BHF)/German Centre of Cardiovascular Research (DZHK)-collaboration (VIAgenomics) and the German Research Foundation (DFG) as part of the Sonderforschungsbereich SFB 1123 (B02) and the Sonderforschungsbereich SFB TRR 267 (B05)., Funder: C.J.W. is funded by NIH grant R35-HL135824., Funder: This work was supported by the British Heart Foundation (BHF) grant RG/14/5/30893 (P.D.) and forms part of the research themes contributing to the translational research portfolios of the Barts Biomedical Research Centre funded by the UK National Institute for Health Research (NIHR)., The discovery of genetic loci associated with complex diseases has outpaced the elucidation of mechanisms of disease pathogenesis. Here we conducted a genome-wide association study (GWAS) for coronary artery disease (CAD) comprising 181,522 cases among 1,165,690 participants of predominantly European ancestry. We detected 241 associations, including 30 new loci. Cross-ancestry meta-analysis with a Japanese GWAS yielded 38 additional new loci. We prioritized likely causal variants using functionally informed fine-mapping, yielding 42 associations with less than five variants in the 95% credible set. Similarity-based clustering suggested roles for early developmental processes, cell cycle signaling and vascular cell migration and proliferation in the pathogenesis of CAD. We prioritized 220 candidate causal genes, combining eight complementary approaches, including 123 supported by three or more approaches. Using CRISPR–Cas9, we experimentally validated the effect of an enhancer in MYO9B, which appears to mediate CAD risk by regulating vascular cell motility. Our analysis identifies and systematically characterizes >250 risk loci for CAD to inform experimental interrogation of putative causal mechanisms for CAD.
Published: 2022
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26. Impact of Apolipoprotein(a) Isoform Size on Lipoprotein(a) Lowering in the HPS2-THRIVE Study

Author: Parish, Sarah, Hopewell, Jemma C., Hill, Michael R., Marcovina, Santica, Valdes-Marquez, Elsa, Haynes, Richard, Offer, Alison, Pedersen, Terje R., Baigent, Colin, Collins, Rory, Landray, Martin, and Armitage, Jane
Published: 2018
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27. Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

Author: Malik, Rainer, Chauhan, Ganesh, Traylor, Matthew, Sargurupremraj, Muralidharan, Okada, Yukinori, Mishra, Aniket, Rutten-Jacobs, Loes, Giese, Anne-Katrin, van der Laan, Sander W., Gretarsdottir, Solveig, Anderson, Christopher D., Chong, Michael, Adams, Hieab H. H., Ago, Tetsuro, Almgren, Peter, Amouyel, Philippe, Ay, Hakan, Bartz, Traci M., Benavente, Oscar R., Bevan, Steve, Boncoraglio, Giorgio B., Brown, Jr, Robert D., Butterworth, Adam S., Carrera, Caty, Carty, Cara L., Chasman, Daniel I., Chen, Wei-Min, Cole, John W., Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul I. W., DeStefano, Anita L., den Hoed, Marcel, Duan, Qing, Engelter, Stefan T., Falcone, Guido J., Gottesman, Rebecca F., Grewal, Raji P., Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeffrey, Harris, Tamara B., Hassan, Ahamad, Havulinna, Aki S., Heckbert, Susan R., Holliday, Elizabeth G., Howard, George, Hsu, Fang-Chi, Hyacinth, Hyacinth I., Ikram, M. Arfan, Ingelsson, Erik, Irvin, Marguerite R., Jian, Xueqiu, Jiménez-Conde, Jordi, Johnson, Julie A., Jukema, J. Wouter, Kanai, Masahiro, Keene, Keith L., Kissela, Brett M., Kleindorfer, Dawn O., Kooperberg, Charles, Kubo, Michiaki, Lange, Leslie A., Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lee, Jin-Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M., Lin, Wei-Yu, Lindgren, Arne G., Lorentzen, Erik, Magnusson, Patrik K., Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F., Meschia, James F., Mitchell, Braxton D., Mosley, Thomas H., Nalls, Michael A., Ninomiya, Toshiharu, O’Donnell, Martin J., Psaty, Bruce M., Pulit, Sara L., Rannikmäe, Kristiina, Reiner, Alexander P., Rexrode, Kathryn M., Rice, Kenneth, Rich, Stephen S., Ridker, Paul M., Rost, Natalia S., Rothwell, Peter M., Rotter, Jerome I., Rundek, Tatjana, Sacco, Ralph L., Sakaue, Saori, Sale, Michele M., Salomaa, Veikko, Sapkota, Bishwa R., Schmidt, Reinhold, Schmidt, Carsten O., Schminke, Ulf, Sharma, Pankaj, Slowik, Agnieszka, Sudlow, Cathie L. M., Tanislav, Christian, Tatlisumak, Turgut, Taylor, Kent D., Thijs, Vincent N. S., Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiedt, Steffen, Trompet, Stella, Tzourio, Christophe, van Duijn, Cornelia M., Walters, Matthew, Wareham, Nicholas J., Wassertheil-Smoller, Sylvia, Wilson, James G., Wiggins, Kerri L., Yang, Qiong, Yusuf, Salim, AFGen Consortium, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, International Genomics of Blood Pressure (iGEN-BP) Consortium, INVENT Consortium, STARNET, Bis, Joshua C., Pastinen, Tomi, Ruusalepp, Arno, Schadt, Eric E., Koplev, Simon, Björkegren, Johan L. M., Codoni, Veronica, Civelek, Mete, Smith, Nicholas L., Trégouët, David A., Christophersen, Ingrid E., Roselli, Carolina, Lubitz, Steven A., Ellinor, Patrick T., Tai, E. Shyong, Kooner, Jaspal S., Kato, Norihiro, He, Jiang, van der Harst, Pim, Elliott, Paul, Chambers, John C., Takeuchi, Fumihiko, Johnson, Andrew D., BioBank Japan Cooperative Hospital Group, COMPASS Consortium, EPIC-CVD Consortium, EPIC-InterAct Consortium, International Stroke Genetics Consortium (ISGC), METASTROKE Consortium, Neurology Working Group of the CHARGE Consortium, NINDS Stroke Genetics Network (SiGN), UK Young Lacunar DNA Study, MEGASTROKE Consortium, Sanghera, Dharambir K., Melander, Olle, Jern, Christina, Strbian, Daniel, Fernandez-Cadenas, Israel, Longstreth, Jr, W. T., Rolfs, Arndt, Hata, Jun, Woo, Daniel, Rosand, Jonathan, Pare, Guillaume, Hopewell, Jemma C., Saleheen, Danish, Stefansson, Kari, Worrall, Bradford B., Kittner, Steven J., Seshadri, Sudha, Fornage, Myriam, Markus, Hugh S., Howson, Joanna M. M., Kamatani, Yoichiro, Debette, Stephanie, and Dichgans, Martin
Published: 2019
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28. Are polygenic risk scores for systolic blood pressure and LDL-cholesterol associated with treatment effectiveness, and clinical outcomes among those on treatment?

Author: Tapela, Neo M, primary, Collister, Jennifer, additional, Liu, Xiaonan, additional, Clifton, Lei, additional, Stiby, Alexander, additional, Murgia, Federico, additional, Hopewell, Jemma C, additional, and Hunter, David J, additional
Published: 2021
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29. Emerging Risk Factors for Stroke: What Have We Learned From Mendelian Randomization Studies?

Author: Hopewell, Jemma C. and Clarke, Robert
Published: 2016
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30. Genetic loci on chromosome 5 are associated with circulating levels of interleukin-5 and eosinophil count in a European population with high risk for cardiovascular disease

Author: McLeod, Olga, Silveira, Angela, Valdes-Marquez, Elsa, Björkbacka, Harry, Almgren, Peter, Gertow, Karl, Gådin, Jesper R., Bäcklund, Alexandra, Sennblad, Bengt, Baldassarre, Damiano, Veglia, Fabrizio, Humphries, Steve E., Tremoli, Elena, de Faire, Ulf, Nilsson, Jan, Melander, Olle, Hopewell, Jemma C., Clarke, Robert, Björck, Hanna M., Hamsten, Anders, Öhrvik, John, and Strawbridge, Rona J.
Published: 2016
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31. Genome-Wide Association Analysis of Young-Onset Stroke Identifies a Locus on Chromosome 10q25 Near HABP2

Author: Cheng, Yu-Ching, Stanne, Tara M., Giese, Anne-Katrin, Ho, Weang Kee, Traylor, Matthew, Amouyel, Philippe, Holliday, Elizabeth G., Malik, Rainer, Xu, Huichun, Kittner, Steven J., Cole, John W., O’Connell, Jeffrey R., Danesh, John, Rasheed, Asif, Zhao, Wei, Engelter, Stefan, Grond-Ginsbach, Caspar, Kamatani, Yoichiro, Lathrop, Mark, Leys, Didier, Thijs, Vincent, Metso, Tiina M., Tatlisumak, Turgut, Pezzini, Alessandro, Parati, Eugenio A., Norrving, Bo, Bevan, Steve, Rothwell, Peter M., Sudlow, Cathie, Slowik, Agnieszka, Lindgren, Arne, Walters, Matthew R., Jannes, Jim, Shen, Jess, Crosslin, David, Doheny, Kimberly, Laurie, Cathy C., Kanse, Sandip M., Bis, Joshua C., Fornage, Myriam, Mosley, Thomas H., Hopewell, Jemma C., Strauch, Konstantin, Müller-Nurasyid, Martina, Gieger, Christian, Waldenberger, Melanie, Peters, Annette, Meisinger, Christine, Ikram, M. Arfan, Longstreth, W.T., Jr, Meschia, James F., Seshadri, Sudha, Sharma, Pankaj, Worrall, Bradford, Jern, Christina, Levi, Christopher, Dichgans, Martin, Boncoraglio, Giorgio B., Markus, Hugh S., Debette, Stephanie, Rolfs, Arndt, Saleheen, Danish, and Mitchell, Braxton D.
Published: 2016
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32. The impact of atrial fibrillation and stroke risk factors on left atrial blood flow characteristics

Author: Spartera, Marco, primary, Stracquadanio, Antonio, additional, Pessoa-Amorim, Guilherme, additional, Von Ende, Adam, additional, Fletcher, Alison, additional, Manley, Peter, additional, Ferreira, Vanessa M, additional, Hess, Aaron T, additional, Hopewell, Jemma C, additional, Neubauer, Stefan, additional, Wijesurendra, Rohan S, additional, and Casadei, Barbara, additional
Published: 2021
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33. Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes

Author: Grace, Christopher, primary, Hopewell, Jemma C., additional, Watkins, Hugh, additional, Farrall, Martin, additional, and Goel, Anuj, additional
Published: 2021
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34. Genome-Wide Association Study of Peripheral Artery Disease

Author: van Zuydam, Natalie R., primary, Stiby, Alexander, additional, Abdalla, Moustafa, additional, Austin, Erin, additional, Dahlström, Emma H., additional, McLachlan, Stela, additional, Vlachopoulou, Efthymia, additional, Ahlqvist, Emma, additional, Di Liao, Chen, additional, Sandholm, Niina, additional, Forsblom, Carol, additional, Mahajan, Anubha, additional, Robertson, Neil R., additional, Rayner, N. William, additional, Lindholm, Eero, additional, Sinisalo, Juha, additional, Perola, Markus, additional, Kallio, Milla, additional, Weiss, Emily, additional, Price, Jackie, additional, Paterson, Andrew, additional, Klein, Barbara, additional, Salomaa, Veikko, additional, Palmer, Colin N.A., additional, Groop, Per-Henrik, additional, Groop, Leif, additional, McCarthy, Mark I., additional, de Andrade, Mariza, additional, Morris, Andrew P., additional, Hopewell, Jemma C., additional, Colhoun, Helen M., additional, Kullo, Iftikhar J., additional, Grétarsdóttir, Sólveig, additional, Þorleifsson, Guðmar, additional, þorsteinsdóttir, Unnur, additional, Stefansson, Kari, additional, Mark, Michael, additional, Kanninen, Timo, additional, Thorand, Barbara, additional, Remuzzi, Giuseppe, additional, Dunger, David, additional, Shore, Angela, additional, Smith, Ulf, additional, Ylä-Herttuala, Seppo, additional, Cobelli, Claudio, additional, Bellazzi, Riccardo, additional, Ferrannini, Ele, additional, Patrono, Carlo, additional, Nuutila, Pirjo, additional, McKeague, Paul, additional, Steckel-Hamann, Birgit, additional, Gan, Li-ming, additional, Nogoceke, Everson, additional, Tortoli, Piero, additional, Jablonka, Bernd, additional, and Brosnan, Mary-Julia, additional
Published: 2021
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35. Smoking and COVID-19 outcomes: an observational and Mendelian randomisation study using the UK Biobank cohort

Author: Clift, Ashley K, primary, von Ende, Adam, additional, Tan, Pui San, additional, Sallis, Hannah M, additional, Lindson, Nicola, additional, Coupland, Carol A C, additional, Munafò, Marcus R, additional, Aveyard, Paul, additional, Hippisley-Cox, Julia, additional, and Hopewell, Jemma C, additional
Published: 2021
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36. Independent effects of adiposity measures on risk of atrial fibrillation in men and women: a study of 0.5 million individuals

Author: Camm, C Fielder, primary, Lacey, Ben, additional, Massa, M Sofia, additional, Von Ende, Adam, additional, Gajendragadkar, Parag, additional, Stiby, Alexander, additional, Valdes-Marquez, Elsa, additional, Lewington, Sarah, additional, Wijesurendra, Rohan, additional, Parish, Sarah, additional, Casadei, Barbara, additional, and Hopewell, Jemma C, additional
Published: 2021
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37. Role of Monocyte Chemoattractant Protein-1

Author: Sudlow, Catherine, Worrall, Bradford B, Bernhagen, Jürgen, Malik, Rainer, Dichgans, Martin, Georgakis, Marios K, Gill, Dipender, Rannikmae, Kristiina, Traylor, Matthew, Anderson, Christopher D., Lee, Jin-Moo, Kamatani, Yoichiro, and Hopewell, Jemma C.
Abstract: BACKGROUND: Cytokines and growth factors have been implicated in the initiation and propagation of vascular disease. Observational studies have shown associations of their circulating levels with stroke. Our objective was to explore whether genetically determined circulating levels of cytokines and growth factors are associated with stroke and its etiologic subtypes by conducting a two-sample Mendelian randomization (MR) study.METHODS: Genetic instruments for 41 cytokines and growth factors were obtained from a genome-wide association study (GWAS) of 8,293 healthy adults. Their associations with stroke and stroke subtypes were evaluated in the MEGASTROKE GWAS dataset (67,162 cases; 454,450 controls) applying inverse-variance-weighted meta-analysis, weighted-median analysis, MR-Egger regression, and multivariable MR. The UK Biobank cohort was used as an independent validation sample (4,985 cases; 364,434 controls). Genetic instruments for monocyte chemoattractant protein-1 (MCP-1/CCL2) were further tested for association with etiologically related vascular traits using publicly available GWAS data.RESULTS: Genetic predisposition to higher MCP-1 levels was associated with higher risk of any stroke (OR per 1-SD increase: 1.06, 95% CI: 1.02-1.09, p=0.0009), any ischemic stroke (OR: 1.06, 95% CI: 1.02-1.10, p=0.002), large artery stroke (OR: 1.19, 95% CI: 1.09-1.30, p=0.0002) and cardioembolic stroke (OR: 1.14, 95% CI: 1.06-1.23, p=0.0004), but not with small vessel stroke or intracerebral hemorrhage. The results were stable in sensitivity analyses and remained significant after adjustment for cardiovascular risk factors. Analyses in the UK Biobank showed similar associations for available phenotypes (any stroke: OR: 1.08, 95% CI: 0.99-1.17, p=0.09; any ischemic stroke: OR: 1.07, 95% CI: 0.97-1.18, p=0.17). Genetically determined higher MCP-1 levels were further associated with coronary artery disease (OR: 1.04, 95% CI: 1.00-1.08, p=0.04) and myocardial infarction (OR: 1.05, 95% CI: 1.01-1.09, p=0.02), but not with atrial fibrillation. A meta-analysis of observational studies showed higher circulating MCP-1 levels in stroke patients compared to controls.CONCLUSIONS: Genetic predisposition to elevated circulating levels of MCP-1 is associated with higher risk of stroke, particularly with large artery stroke and cardioembolic stroke. Whether targeting MCP-1 or its receptors can lower stroke incidence requires further study.
Published: 2019

38. Genetic Overlap Between Diagnostic Subtypes of Ischemic Stroke

Author: Holliday, Elizabeth G., Traylor, Matthew, Malik, Rainer, Bevan, Steve, Falcone, Guido, Hopewell, Jemma C., Cheng, Yu-Ching, Cotlarciuc, Ioana, Bis, Joshua C., Boerwinkle, Eric, Boncoraglio, Giorgio B., Clarke, Robert, Cole, John W., Fornage, Myriam, Furie, Karen L., Ikram, M. Arfan, Jannes, Jim, Kittner, Steven J., Lincz, Lisa F., Maguire, Jane M., Meschia, James F., Mosley, Thomas H., Nalls, Mike A., Oldmeadow, Christopher, Parati, Eugenio A., Psaty, Bruce M., Rothwell, Peter M., Seshadri, Sudha, Scott, Rodney J., Sharma, Pankaj, Sudlow, Cathie, Wiggins, Kerri L., Worrall, Bradford B., Rosand, Jonathan, Mitchell, Braxton D., Dichgans, Martin, Markus, Hugh S., Levi, Christopher, Attia, John, and Wray, Naomi R.
Published: 2015
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39. Pharmacogenomics of statin therapy: any new insights in efficacy or safety?

Author: Hopewell, Jemma C., Reith, Christina, and Armitage, Jane
Published: 2014
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40. Genome-Wide Association Study of Peripheral Artery Disease

Author: van Zuydam, Natalie, Stiby, Alexander, Abdalla, Moustafa, Austin, Erin, Dahlstrom, Emma H., McLachlan, Stela, Vlachopoulou, Efthymia, Ahlqvist, Emma, Di Liao, Chen, Sandholm, Niina, Forsblom, Carol, Mahajan, Anubha, Robertson, Neil R., Rayner, N. William, Lindholm, Eero, Sinisalo, Juha, Perola, Markus, Kallio, Milla, Weiss, Emily, Price, Jackie, Paterson, Andrew, Klein, Barbara, Salomaa, Veikko, Palmer, Colin N. A., Groop, Per-Henrik, Groop, Leif, McCarthy, Mark I., de Andrade, Mariza, Morris, Andrew P., Hopewell, Jemma C., Colhoun, Helen M., Kullo, Iftikhar J., van Zuydam, Natalie, Stiby, Alexander, Abdalla, Moustafa, Austin, Erin, Dahlstrom, Emma H., McLachlan, Stela, Vlachopoulou, Efthymia, Ahlqvist, Emma, Di Liao, Chen, Sandholm, Niina, Forsblom, Carol, Mahajan, Anubha, Robertson, Neil R., Rayner, N. William, Lindholm, Eero, Sinisalo, Juha, Perola, Markus, Kallio, Milla, Weiss, Emily, Price, Jackie, Paterson, Andrew, Klein, Barbara, Salomaa, Veikko, Palmer, Colin N. A., Groop, Per-Henrik, Groop, Leif, McCarthy, Mark I., de Andrade, Mariza, Morris, Andrew P., Hopewell, Jemma C., Colhoun, Helen M., and Kullo, Iftikhar J.
Abstract: Background: Peripheral artery disease (PAD) affects >200 million people worldwide and is associated with high mortality and morbidity. We sought to identify genomic variants associated with PAD overall and in the contexts of diabetes and smoking status. Methods: We identified genetic variants associated with PAD and then meta-analyzed with published summary statistics from the Million Veterans Program and UK Biobank to replicate their findings. Next, we ran stratified genome-wide association analysis in ever smokers, never smokers, individuals with diabetes, and individuals with no history of diabetes and corresponding interaction analyses, to identify variants that modify the risk of PAD by diabetic or smoking status. Results: We identified 5 genome-wide significant (P-association <= 5x10(-8)) associations with PAD in 449 548 (N-cases=12 086) individuals of European ancestry near LPA (lipoprotein [a]), CDKN2BAS1 (CDKN2B antisense RNA 1), SH2B3 (SH2B adaptor protein 3) - PTPN11 (protein tyrosine phosphatase non-receptor type 11), HDAC9 (histone deacetylase 9), and CHRNA3 (cholinergic receptor nicotinic alpha 3 subunit) loci (which overlapped previously reported associations). Meta-analysis with variants previously associated with PAD showed that 18 of 19 published variants remained genome-wide significant. In individuals with diabetes, rs116405693 at the CCSER1 (coiled-coil serine rich protein 1) locus was associated with PAD (odds ratio [95% CI], 1.51 [1.32-1.74], P-diabetes=2.5x10(-9), P-interactionwithdiabetes=5.3x10(-7)). Furthermore, in smokers, rs12910984 at the CHRNA3 locus was associated with PAD (odds ratio [95% CI], 1.15 [1.11-1.19], P-smokers=9.3x10(-10), P-interactionwithsmoking=3.9x10(-5)). Conclusions: Our analyses confirm the published genetic associations with PAD and identify novel variants that may influence susceptibility to PAD in the context of diabetes or smoking status.
Published: 2021
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41. Independent effects of adiposity measures on risk of atrial fibrillation in men and women: a study of 0.5 million individuals.

Author: Camm, C Fielder, Lacey, Ben, Massa, M Sofia, Ende, Adam Von, Gajendragadkar, Parag, Stiby, Alexander, Valdes-Marquez, Elsa, Lewington, Sarah, Wijesurendra, Rohan, Parish, Sarah, Casadei, Barbara, Hopewell, Jemma C, and Von Ende, Adam
Subjects: OBESITY complications, OBESITY, ATRIAL fibrillation, WAIST circumference, QUESTIONNAIRES, RESEARCH funding, BODY mass index, ADIPOSE tissues, LONGITUDINAL method, DISEASE complications
Abstract: Background: Atrial fibrillation (AF) has a higher prevalence in men than in women and is associated with measures of adiposity and lean mass (LM). However, it remains uncertain whether the risks of AF associated with these measures vary by sex.Methods: Among 477 904 UK Biobank participants aged 40-69 without prior AF, 23 134 incident AF cases were identified (14 400 men, 8734 women; median follow-up 11.1 years). Cox proportional hazards models were used to estimate the covariate adjusted hazard ratios (HRs) describing the association of AF with weight, measures of adiposity [fat mass (FM), waist circumference (WC)] and LM, and their independent relevance, by sex.Results: Weight and WC were independently associated with risk of AF [HR: 1.25 (1.23-1.27) per 10 kg, HR: 1.11 (1.09-1.14) per 10 cm, respectively], with comparable effects in both sexes. The association with weight was principally driven by LM, which, per 5 kg, conferred double the risk of AF compared with FM when mutually adjusted [HR: 1.20 (1.19-1.21), HR: 1.10 (1.09-1.11), respectively]; however, the effect of LM was weaker in men than in women (p-interaction = 4.3 x 10-9). Comparing the relative effects of LM, FM and WC identified different patterns within each sex; LM was the strongest predictor for both, whereas WC was stronger than FM in men but not in women.Conclusions: LM and FM (as constituents of weight) and WC are risk factors for AF. However, the independent relevance of general adiposity for AF was more limited in men than in women. The relevance of both WC and LM suggests a potentially important role for visceral adiposity and muscle mass in AF development. [ABSTRACT FROM AUTHOR]
Published: 2022
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42. Assessment of Vascular Event Prevention and Cognitive Function Among Older Adults With Preexisting Vascular Disease or Diabetes: A Secondary Analysis of 3 Randomized Clinical Trials

Author: Offer, Alison, Arnold, Matthew, Clarke, Robert, Bennett, Derrick, Bowman, Louise, Bulbulia, Richard, Haynes, Richard, Li, Jing, Hopewell, Jemma C, Landray, Martin, Armitage, Jane, Collins, Rory, Parish, Sarah, Heart Protection Study (HPS), Study Of The Effectiveness Of Additional Reductions In Cholesterol And Homocysteine (SEARCH), And Treatment Of HDL (High-Density Lipoprotein) To Reduce The Incidence Of Vascular Events (HPS2-THRIVE) Collaborative Grou, Arnold, Matthew [0000-0001-6339-1115], and Apollo - University of Cambridge Repository
Subjects: Intelligence Tests, Male, Incidence, Myocardial Infarction, Middle Aged, Stroke, Cognition, Cognitive Aging, Outcome Assessment, Health Care, Diabetes Mellitus, Humans, Female, Vascular Diseases, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Geriatric Assessment, Aged
Abstract: IMPORTANCE: Acquisition of reliable randomized clinical trial evidence of the effects of cardiovascular interventions on cognitive decline is a priority. OBJECTIVES: To estimate the association of cognitive aging with the avoidance of vascular events in cardiovascular intervention trials and understand whether reports of nonsignificant results exclude worthwhile benefit. DESIGN, SETTING, AND PARTICIPANTS: This secondary analysis of 3 randomized clinical trials in participants with preexisting occlusive vascular disease or diabetes included survivors to final in-trial follow-up in the Heart Protection Study (HPS), Study of the Effectiveness of Additional Reductions in Cholesterol and Homocysteine (SEARCH), and Treatment of HDL (High-Density Lipoprotein) to Reduce the Incidence of Vascular Events (HPS2-THRIVE) trials of lipid modification for prevention of cardiovascular events. Data were collected from February 1994 through January 2013 and analyzed from January 2015 through December 2018. EXPOSURES: Incident vascular events and diabetes and statin therapy. MAIN OUTCOMES AND MEASURES: Cognitive function was assessed at the end of a mean (SD) of 4.9 (1.5) years of follow-up using a 14-item verbal test. Associations of the incidence of vascular events and new-onset diabetes during the trials, with cognitive function at final in-trial follow-up were estimated and expressed as years of cognitive aging (using the association of the score with age >60 years). The benefit on cognitive aging mediated through the effects of lowering low-density lipoprotein cholesterol levels on events was estimated by applying these findings to nonfatal event differences observed with statin therapy in the HPS trial. RESULTS: Among 45 029 participants undergoing cognitive assessment, mean (SD) age was 67.9 (8.0) years; 80.7% were men. Incident stroke (n = 1197) was associated with 7.1 (95% CI, 5.7-8.5) years of cognitive aging; incident transient ischemic attack, myocardial infarction, heart failure, and new-onset diabetes were associated with 1 to 2 years of cognitive aging. In HPS, randomization to statin therapy for 5 years resulted in 2.0% of survivors avoiding a nonfatal stroke or transient ischemic attack and 2.4% avoiding a nonfatal cardiac event, which yielded an expected reduction in cognitive aging of 0.15 (95% CI, 0.11-0.19) years. With 15 926 participants undergoing cognitive assessment, HPS had 80% power to detect a 1-year (ie, 20% during the 5 years) difference in cognitive aging. CONCLUSIONS AND RELEVANCE: The expected cognitive benefits of the effects of preventive therapies on cardiovascular events during even the largest randomized clinical trials may have been too small to be detectable. Hence, nonsignificant findings may not provide good evidence of a lack of worthwhile benefit on cognitive function with prolonged use of such therapies. TRIAL REGISTRATION: isrctn.com and ClinicalTrials.gov Identifiers: ISRCTN48489393, ISRCTN74348595, and NCT00461630.
Published: 2020
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43. Cardiovascular care of patients with stroke and high risk of stroke: The need for interdisciplinary action: A consensus report from the European Society of Cardiology Cardiovascular Round Table

Author: Doehner, Wolfram, Mazighi, Mikael, Hofmann, Bernd M., Lautsch, Dominik, Hindricks, Gerhard, Bohula, Erin A., Byrne, Robert A., Camm, A. John, Casadei, Barbara, Caso, Valeria, Cognard, Christophe, Diener, Hans-Christoph, Endres, Matthias, Goldstein, Patrick, Halliday, Alison, Hopewell, Jemma C., Jovanovic, Dejana R., Kobayashi, Adam, Kostrubiec, Maciej, Krajina, Antonin, Landmesser, Ulf, Markus, Hugh S., Ntaios, George, Pezzella, Francesca R., Ribo, Marc, Rosano, Giuseppe M.C., Rubiera, Marta, Sharma, Mike, Touyz, Rhian M., Widimsky, Petr, Doehner, Wolfram, Mazighi, Mikael, Hofmann, Bernd M., Lautsch, Dominik, Hindricks, Gerhard, Bohula, Erin A., Byrne, Robert A., Camm, A. John, Casadei, Barbara, Caso, Valeria, Cognard, Christophe, Diener, Hans-Christoph, Endres, Matthias, Goldstein, Patrick, Halliday, Alison, Hopewell, Jemma C., Jovanovic, Dejana R., Kobayashi, Adam, Kostrubiec, Maciej, Krajina, Antonin, Landmesser, Ulf, Markus, Hugh S., Ntaios, George, Pezzella, Francesca R., Ribo, Marc, Rosano, Giuseppe M.C., Rubiera, Marta, Sharma, Mike, Touyz, Rhian M., and Widimsky, Petr
Abstract: Comprehensive stroke care is an interdisciplinary challenge. Close collaboration of cardiologists and stroke physicians is critical to ensure optimum utilisation of short- and long-term care and preventive measures in patients with stroke. Risk factor management is an important strategy that requires cardiologic involvement for primary and secondary stroke prevention. Treatment of stroke generally is led by stroke physicians, yet cardiologists need to be integrated care providers in stroke units to address all cardiovascular aspects of acute stroke care, including arrhythmia management, blood pressure control, elevated levels of cardiac troponins, valvular disease/endocarditis, and the general management of cardiovascular comorbidities. Despite substantial progress in stroke research and clinical care has been achieved, relevant gaps in clinical evidence remain and cause uncertainties in best practice for treatment and prevention of stroke. The Cardiovascular Round Table of the European Society of Cardiology together with the European Society of Cardiology Council on Stroke in cooperation with the European Stroke Organisation and partners from related scientific societies, regulatory authorities and industry conveyed a two-day workshop to discuss current and emerging concepts and apparent gaps in stroke care, including risk factor management, acute diagnostics, treatments and complications, and operational/logistic issues for health care systems and integrated networks. Joint initiatives of cardiologists and stroke physicians are needed in research and clinical care to target unresolved interdisciplinary problems and to promote the best possible outcomes for patients with stroke
Published: 2020

44. Are polygenic risk scores for systolic blood pressure and LDL-cholesterol associated with treatment effectiveness, and clinical outcomes among those on treatment?

Author: Tapela, Neo M, Collister, Jennifer, Liu, Xiaonan, Clifton, Lei, Stiby, Alexander, Murgia, Federico, Hopewell, Jemma C, and Hunter, David J
Published: 2022
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45. Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes.

Author: Grace, Christopher, Hopewell, Jemma C., Watkins, Hugh, Farrall, Martin, and Goel, Anuj
Published: 2022
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46. Independent risk factors for simvastatin-related myopathy and relevance to different types of muscle symptom

Author: Hopewell, Jemma C, primary, Offer, Alison, additional, Haynes, Richard, additional, Bowman, Louise, additional, Li, Jing, additional, Chen, Fang, additional, Bulbulia, Richard, additional, Lathrop, Mark, additional, Baigent, Colin, additional, Landray, Martin J, additional, Collins, Rory, additional, Armitage, Jane, additional, and Parish, Sarah, additional
Published: 2020
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47. Proceedings of the 25th International Stroke Genetics Consortium Workshop: Cambridge, UK

Author: Hopewell, Jemma C., primary, Traylor, Matthew, additional, and Markus, Hugh S., additional
Published: 2020
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48. Identification of patients with atrial fibrillation: a big data exploratory analysis of the UK Biobank

Author: Oster, Julien, primary, Hopewell, Jemma C, additional, Ziberna, Klemen, additional, Wijesurendra, Rohan, additional, Camm, Christian F, additional, Casadei, Barbara, additional, and Tarassenko, Lionel, additional
Published: 2020
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49. Genetic determinants of blood lipids and cerebral small vessel disease: role of high-density lipoprotein cholesterol

Author: Georgakis, Marios K, primary, Malik, Rainer, additional, Anderson, Christopher D, additional, Parhofer, Klaus G, additional, Hopewell, Jemma C, additional, and Dichgans, Martin, additional
Published: 2020
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50. impact of atrial fibrillation and stroke risk factors on left atrial blood flow characteristics.

Author: Spartera, Marco, Stracquadanio, Antonio, Pessoa-Amorim, Guilherme, Ende, Adam Von, Fletcher, Alison, Manley, Peter, Ferreira, Vanessa M, Hess, Aaron T, Hopewell, Jemma C, Neubauer, Stefan, Wijesurendra, Rohan S, and Casadei, Barbara
Subjects: STROKE risk factors, ATRIAL fibrillation, MAGNETIC resonance imaging, BLOOD circulation, DESCRIPTIVE statistics, ELECTROCARDIOGRAPHY, RESEARCH funding, ELECTRIC countershock
Abstract: Aims Altered left atrial (LA) blood flow characteristics account for an increase in cardioembolic stroke risk in atrial fibrillation (AF). Here, we aimed to assess whether exposure to stroke risk factors is sufficient to alter LA blood flow even in the presence of sinus rhythm (SR). Methods and results We investigated 95 individuals: 37 patients with persistent AF, who were studied before and after cardioversion [Group 1; median CHA2DS2-VASc = 2.0 (1.5–3.5)]; 35 individuals with no history of AF but similar stroke risk to Group 1 [Group 2; median CHA2DS2-VASc = 3.0 (2.0–4.0)]; and 23 low-risk individuals in SR [Group 3; median CHA2DS2-VASc = 0.0 (0.0–0.0)]. Cardiac function and LA flow characteristics were evaluated using cardiac magnetic resonance. Before cardioversion, Group 1 displayed impaired left ventricular (LV) and LA function, reduced LA flow velocities and vorticity, and a higher normalized vortex volume (all P < 0.001 vs. Groups 2 and 3). After restoration of SR at ≥4-week post-cardioversion, LV systolic function and LA flow parameters improved significantly (all P < 0.001 vs. pre-cardioversion) and were no longer different from those in Group 2. However, in the presence of SR, LA flow peak and mean velocity, and vorticity were lower in Groups 1 and 2 vs. Group 3 (all P < 0.01), and were associated with impaired LA emptying fraction (LAEF) and LV diastolic dysfunction. Conclusion Patients at moderate-to-high stroke risk display altered LA flow characteristics in SR in association with an LA myopathic phenotype and LV diastolic dysfunction, regardless of a history of AF. [ABSTRACT FROM AUTHOR]
Published: 2022
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