"Hopewell, Jemma C." - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Hopewell, Jemma C."' showing total 382 results

Start Over "Hopewell, Jemma C."

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

101. Differential effects of PCSK9 variants on risk of coronary disease and ischaemic stroke.

Author: Hopewell, Jemma C, Malik, Rainer, Valdés-Márquez, Elsa, Worrall, Bradford B, Collins, Rory, and ISGC, METASTROKE Collaboration of the
Abstract: Aims PCSK9 genetic variants that have large effects on low-density lipoprotein cholesterol (LDL-C) and coronary heart disease (CHD) have prompted the development of therapeutic PCSK9-inhibition. However, there is limited evidence that PCSK9 variants are associated with ischaemic stroke (IS). Methods and results Associations of the loss-of-function PCSK9 genetic variant (rs11591147; R46L), and five additional PCSK9 variants, with IS and IS subtypes (cardioembolic, large vessel, and small vessel) were estimated in a meta-analysis involving 10 307 IS cases and 19 326 controls of European ancestry. They were then compared with the associations of these variants with LDL-C levels (in up to 172 970 individuals) and CHD (in up to 60 801 CHD cases and 123 504 controls). The rs11591147 T allele was associated with 0.5 mmol/L lower LDL-C level (P=9Γ10-143) and 23% lower CHD risk [odds ratio (OR): 0.77, 95% confidence interval (CI): 0.69-0.87, P=7Γ10-6]. However, it was not associated with risk of IS (OR: 1.04, 95% CI: 0.84-1.28, P=0.74) or IS subtypes. Information from additional PCSK9 variants also indicated consistently weaker effects on IS than on CHD. Conclusion PCSK9 genetic variants that confer life-long lower PCSK9 and LDL-C levels appear to have significantly weaker, if any, associations with risk of IS than with risk of CHD. By contrast, similar proportional reductions in risks of IS and CHD have been observed in randomized trials of therapeutic PCSK9-inhibition. These findings have implications for our understanding of when Mendelian randomization can be relied upon to predict the effects of therapeutic interventions. [ABSTRACT FROM AUTHOR]
Published: 2018
Full Text: View/download PDF

102. Impact of ADCY9Genotype 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
Abstract: Supplemental Digital Content is available in the text.
Published: 2019
Full Text: View/download PDF

103. Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci

Author: Padmanabhan, Sandosh, Li, Yun R., Meijs, Matthijs F.L., Guo, Yiran, Beitelshees, Amber L., Kleber, Marcus E., van Iperen, Erik P.A., Chen, Yii-Der Ida, Li, Mingyao, Liu, Kiang, Appelman, Yolande E., Gong, Yan, Gaunt, Tom R., McDonough, Caitrin W., Langaee, Taimour Y., Asselbergs, Folkert W., Barnard, John, Almoguera, Berta, Nelson, Christopher P., Pankratz, Nathan, Bhangale, Tushar R., O’Connell, Jeffery R., Tragante, Vinicius, Sivapalaratnam, Suthesh, Baumert, Jens, Lange, Leslie A., Pankow, James S., Middelberg, Rita P.S., Lanktree, Matthew B., Hopewell, Jemma C., Musunuru, Kiran, and Johnson, Toby
Subjects: nutritional and metabolic diseases, lipids (amino acids, peptides, and proteins)
Abstract: Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids.
Published: 2012
Full Text: View/download PDF

104. Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci

Author: Asselbergs, Folkert W., Guo, Yiran, Van Iperen, Erik P. A., Sivapalaratnam, Suthesh, Tragante, Vinicius, Lanktree, Matthew B., Lange, Leslie A., Almoguera, Berta, Appelman, Yolande E., Barnard, John, Baumert, Jens, Beitelshees, Amber L., Bhangale, Tushar R., Chen, Yii-Der Ida, Gaunt, Tom R., Gong, Yan, Hopewell, Jemma C., Johnson, Toby, Kleber, Marcus E., Langaee, Taimour Y., Li, Mingyao, Li, Yun R., Liu, Kiang, McDonough, Caitrin W., Meijs, Matthijs F. L., Middelberg, Rita P. S., Musunuru, Kiran, Nelson, Christopher P., O’Connell, Jeffrey R., Padmanabhan, Sandosh, Pankow, James S., Pankratz, Nathan, Rafelt, Suzanne, Rajagopalan, Ramakrishnan, Romaine, Simon P. R., Schork, Nicholas J., Shaffer, Jonathan, Shen, Haiqing, Smith, Erin N., Tischfield, Sam E., Van Der Most, Peter J., Van Vliet-Ostaptchouk, Jana V., Verweij, Niek, Volcik, Kelly A., Zhang, Li, Bailey, Kent R., Bailey, Kristian M., Bauer, Florianne, Boer, Jolanda M. A., Braund, Peter S., Burt, Amber, Burton, Paul R., Buxbaum, Sarah G., Chen, Wei, Cooper-DeHoff, Rhonda M., Cupples, L. Adrienne, DeJong, Jonas S., Delles, Christian, Duggan, David, Fornage, Myriam, Furlong, Clement E., Glazer, Nicole, Gums, John G., Hastie, Claire, Holmes, Michael V., Illig, Thomas, Kirkland, Susan A., Kivimaki, Mika, Klein, Ronald, Klein, Barbara E., Kooperberg, Charles, Kottke-Marchant, Kandice, Kumari, Meena, LaCroix, Andrea Z., Mallela, Laya, Murugesan, Gurunathan, Ordovas, Jose, Ouwehand, Willem H., Post, Wendy S., Saxena, Richa, Scharnagl, Hubert, Schreiner, Pamela J., Shah, Tina, Shields, Denis C., Shimbo, Daichi, Srinivasan, Sathanur R., Stolk, Ronald P., Swerdlow, Daniel I., Taylor Jr., Herman A., Topol, Eric J., Toskala, Elina, Van Pelt, Joost L., Van Setten, Jessica, Yusuf, Salim, Whittaker, John C., Zwinderman, A. H., Anand, Sonia S., Balmforth, Anthony J., Berenson, Gerald S., Bezzina, Connie R., Boehm, Bernhard O., Boerwinkle, Eric, Casas, Juan P., Caulfield, Mark J., Clarke, Robert, Connell, John M., Cruickshanks, Karen J., Davidson, Karina W., Day, Ian N. M., De Bakker, Paul I. W., Doevendans, Pieter A., Dominiczak, Anna F., Hall, Alistair S., Hartman, Catharina A., Hengstenberg, Christian, Hillege, Hans L., Hofker, Marten H., Humphries, Steve E., Jarvik, Gail P., Johnson, Julie A., Kaess, Bernhard M., Kathiresan, Sekar, Koenig, Wolfgang, Lawlor, Debbie A., Marz, Winfried, Melander, Olle, Mitchell, Braxton D., Montgomery, Grant W., Munroe, Patricia B., Murray, Sarah S., Newhouse, Stephen J., Onland-Moret, N. Charlotte, Poulter, Neil, Psaty, Bruce, Redline, Susan, Rich, Stephen S., Rotter, Jerome I., Schunkert, Heribert, Sever, Peter, Shuldiner, Alan R., Silverstein, Roy L., Stanton, Alice, Thorand, Barbara, Trip, Mieke D., Tsai, Michael Y., Van Der Harst, Pim, Van Der Schoot, Ellen, Van Der Schouw, Yvonne T., Verschuren, W. M. Monique, Watkins, Hugh, Wilde, Arthur A. M., Wolffenbuttel, Bruce H. R., Whitfield, John B., Hovingh, G. Kees, Ballantyne, Christie M., Wijmenga, Cisca, Reilly, Muredach P., Martin, Nicholas G., and LifeLines Cohort Study
Subjects: Meta-analysis, Molecular biology, FOS: Biological sciences, Genetics, nutritional and metabolic diseases, lipids (amino acids, peptides, and proteins), Single nucleotide polymorphisms, Medical sciences, Lipids
Abstract: Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids.
Published: 2012
Full Text: View/download PDF

105. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

Author: Wain, Louise V, Verwoert, Germaine C, O'Reilly, Paul F, Shi, Gang, Johnson, Toby, Johnson, Andrew D, Bochud, Murielle, Rice, Kenneth M, Henneman, Peter, Smith, Albert V, Ehret, Georg B, Amin, Najaf, Larson, Martin G, Mooser, Vincent, Hadley, David, Dörr, Marcus, Bis, Joshua C, Aspelund, Thor, Esko, Tõnu, Janssens, A Cecile JW, Zhao, Jing Hua, Heath, Simon, Laan, Maris, Fu, Jingyuan, Pistis, Giorgio, Luan, Jian'an, Arora, Pankaj, Lucas, Gavin, Pirastu, Nicola, Pichler, Irene, Jackson, Anne U, Webster, Rebecca J, Zhang, Feng, Peden, John F, Schmidt, Helena, Tanaka, Toshiko, Campbell, Harry, Igl, Wilmar, Milaneschi, Yuri, Hottenga, Jouke-Jan, Vitart, Veronique, Chasman, Daniel I, Trompet, Stella, Bragg-Gresham, Jennifer L, Alizadeh, Behrooz Z, Chambers, John C, Guo, Xiuqing, Lehtimäki, Terho, Kühnel, Brigitte, Lopez, Lorna M, Polašek, Ozren, Boban, Mladen, Nelson, Christopher P, Morrison, Alanna C, Pihur, Vasyl, Ganesh, Santhi K, Hofman, Albert, Kundu, Suman, Mattace-Raso, Francesco US, Rivadeneira, Fernando, Sijbrands, Eric JG, Uitterlinden, Andre G, Hwang, Shih-Jen, Vasan, Ramachandran S, Wang, Thomas J, Bergmann, Sven, Vollenweider, Peter, Waeber, Gérard, Laitinen, Jaana, Pouta, Anneli, Zitting, Paavo, McArdle, Wendy L, Kroemer, Heyo K, Völker, Uwe, Völzke, Henry, Glazer, Nicole L, Taylor, Kent D, Harris, Tamara B, Alavere, Helene, Haller, Toomas, Keis, Aime, Tammesoo, Mari-Liis, Aulchenko, Yurii, Barroso, Inês, Khaw, Kay-Tee, Galan, Pilar, Hercberg, Serge, Lathrop, Mark, Eyheramendy, Susana, Org, Elin, Sõber, Siim, Lu, Xiaowen, Nolte, Ilja M, Penninx, Brenda W, Corre, Tanguy, Masciullo, Corrado, Sala, Cinzia, Groop, Leif, Voight, Benjamin F, Melander, Olle, O'Donnell, Christopher J, Salomaa, Veikko, d'Adamo, Adamo Pio, Fabretto, Antonella, Faletra, Flavio, Ulivi, Sheila, Del Greco, Fabiola M, Facheris, Maurizio, Collins, Francis S, Bergman, Richard N, Beilby, John P, Hung, Joseph, Musk, A William, Mangino, Massimo, Shin, So-Youn, Soranzo, Nicole, Watkins, Hugh, Goel, Anuj, Hamsten, Anders, Gider, Pierre, Loitfelder, Marisa, Zeginigg, Marion, Hernandez, Dena, Najjar, Samer S, Navarro, Pau, Wild, Sarah H, Corsi, Anna Maria, Singleton, Andrew, de Geus, Eco JC, Willemsen, Gonneke, Parker, Alex N, Rose, Lynda M, Buckley, Brendan, Stott, David, Orru, Marco, Uda, Manuela, LifeLines Cohort Study, van der Klauw, Melanie M, Zhang, Weihua, Li, Xinzhong, Scott, James, Chen, Yii-Der Ida, Burke, Gregory L, Kähönen, Mika, Viikari, Jorma, Döring, Angela, Meitinger, Thomas, Davies, Gail, Starr, John M, Emilsson, Valur, Plump, Andrew, Lindeman, Jan H, Hoen, Peter AC 't, König, Inke R, EchoGen consortium, Felix, Janine F, Clarke, Robert, Hopewell, Jemma C, Ongen, Halit, Breteler, Monique, Debette, Stéphanie, Destefano, Anita L, Fornage, Myriam, AortaGen Consortium, Mitchell, Gary F, CHARGE Consortium Heart Failure Working Group, Smith, Nicholas L, KidneyGen consortium, Holm, Hilma, Stefansson, Kari, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, CKDGen consortium, Cardiogenics consortium, CardioGram, Samani, Nilesh J, Preuss, Michael, Rudan, Igor, Hayward, Caroline, Deary, Ian J, Wichmann, H-Erich, Raitakari, Olli T, Palmas, Walter, Kooner, Jaspal S, Stolk, Ronald P, Jukema, J Wouter, Wright, Alan F, Boomsma, Dorret I, Bandinelli, Stefania, Gyllensten, Ulf B, Wilson, James F, Ferrucci, Luigi, Schmidt, Reinhold, Farrall, Martin, Spector, Tim D, Palmer, Lyle J, Tuomilehto, Jaakko, Pfeufer, Arne, Gasparini, Paolo, Siscovick, David, Altshuler, David, Loos, Ruth JF, Toniolo, Daniela, Snieder, Harold, Gieger, Christian, Meneton, Pierre, Wareham, Nicholas J, Oostra, Ben A, Metspalu, Andres, Launer, Lenore, Rettig, Rainer, Strachan, David P, Beckmann, Jacques S, Witteman, Jacqueline CM, Erdmann, Jeanette, van Dijk, Ko Willems, Boerwinkle, Eric, Boehnke, Michael, Ridker, Paul M, Jarvelin, Marjo-Riitta, Chakravarti, Aravinda, Abecasis, Goncalo R, Gudnason, Vilmundur, Newton-Cheh, Christopher, Levy, Daniel, Munroe, Patricia B, Psaty, Bruce M, Caulfield, Mark J, Rao, Dabeeru C, Tobin, Martin D, Elliott, Paul, van Duijn, Cornelia M, Zhao, Jing Hua [0000-0003-4930-3582], Luan, Jian'an [0000-0003-3137-6337], Barroso, Ines [0000-0001-5800-4520], Khaw, Kay-Tee [0000-0002-8802-2903], Soranzo, Nicole [0000-0003-1095-3852], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository
Subjects: Genetic Loci, Case-Control Studies, Hypertension, Humans, Blood Pressure, cardiovascular diseases, Arteries, Polymorphism, Single Nucleotide, Linkage Disequilibrium, circulatory and respiratory physiology, Follow-Up Studies, Genome-Wide Association Study
Abstract: Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we identified at genome-wide significance (P = 2.7 × 10(-8) to P = 2.3 × 10(-13)) four new PP loci (at 4q12 near CHIC2, 7q22.3 near PIK3CG, 8q24.12 in NOV and 11q24.3 near ADAMTS8), two new MAP loci (3p21.31 in MAP4 and 10q25.3 near ADRB1) and one locus associated with both of these traits (2q24.3 near FIGN) that has also recently been associated with SBP in east Asians. For three of the new PP loci, the estimated effect for SBP was opposite of that for DBP, in contrast to the majority of common SBP- and DBP-associated variants, which show concordant effects on both traits. These findings suggest new genetic pathways underlying blood pressure variation, some of which may differentially influence SBP and DBP.
Published: 2011

106. Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study

Author: Spector, Tim D., Rotimi, Charles N., Hedblad, Bo, Brand, Eva, Day, Ian N. M., Kita, Yoshikuni, Chandak, Giriraj R., Tomaszewski, Maciej, Wong, Andrew, Ogihara, Toshio, Salomaa, Veikko, Igl, Wilmar, Laitinen, Jaana, Olden, Matthias, Okamura, Tomonori, Peltonen, Leena, Witteman, Jacqueline C. M., Wichmann, H-erich, Palmer, Lyle J., Boerwinkle, Eric, Talmud, Philippa J., Tabara, Yasuharu, Platou, Carl G. P., Gyllensten, Ulf B., Meneton, Pierre, Dominiczak, Anna F., Frayling, Timothy M., Groop, Leif, Smith, Albert V., Jackson, Anne U., Kutlar, Abdullah, Heath, Simon, Voight, Benjamin F., Meitinger, Thomas, Stringham, Heather M., Gaunt, Tom R., Islam, Muhammad, Tai, E. Shyong, Hofman, Albert, Lohman, Kurt K., Rotter, Jerome I., Hoffman Bolton, Judith A., Schouw, Yvonne T., Raffel, Leslie J., Lawrence, Robert W., Rudock, Megan E., Scuteri, Angelo, Peden, John F., Eyheramendy, Susana, Aspelund, Thor, Adair, Linda S., Demirkan, Ayse, Staessen, Jan A., Glazer, Nicole L., Launer, Lenore, Ganesh, Santhi, Hirschorn, Joel N., Seshadri, Sudha, Sjo&#776, gren, Marketa, Musani, Solomon K., Verwoert, Germaine C., Umemura, Satoshi, Bis, Joshua C., Dreisbach, Albert W., Keating, Brendan J., Ala-korpela, Mika, Hartikainen, Anna-liisa, Galan, Pilar, Strachan, David P., Hadley, David, Prokopenko, Inga, Young, J. Hunter, Ehret, Georg B., Prabhakaran, Dorairajan, Scott, Laura J., Mosley, Thomas H., Viikari, Jorma, Ohkubo, Takayoshi, Wiggins, Kerri L., Emilsson, Valur, Salako, Tunde, Vo&#776, lker, Uwe, Bornstein, Stefan R., lzke, Henry, Dries, Daniel L., Sharma, Pankaj, Ueshima, Hirotsugu, Wright, Alan F., Lee, Nanette R., Loos, Ruth J. F., Lawlor, Debbie A., Kathiresan, Sekar, Cho, Yoon Shin, Luan, Jian An, Jafar, Tazeen H., Bakker, Stephan J. L., Altshuler, David, Arking, Dan E., Tayo, Bamidele O., Smith, George Davey, Liu, Kiang, Taylor, Herman A., Parsa, Afshin, Mattace-raso, Francesco U. S., Wild, Sarah H., Guo, Xiuqing, Shuldiner, Alan R., Zhang, Weihua, Zhang, Feng, Harris, Tamara B., Kuusisto, Johanna, Zukowska-szczechowska, Ewa, Nyberg, Fredrik, Vineis, Paolo, Dahgam, Santosh, Hayward, Caroline, Hicks, Andrew A., Kuh, Diana, Shriner, Daniel, Taylor, Andrew, Mckenzie, Colin A., Wang, Thomas J., Steinle, Nanette I., Elosua, Roberto, Sim, Xueling, Kang, Sun J., Rivadeneira, Fernando, Palmen, Jutta, Cooper, Matthew N., Lyon, Helen N., Levy, Daniel, Swift, Amy J., Raitakari, Olli, Lyytika&#776, inen, Leo-pekka, Saleheen, Danish, Rudan, Igor, Schwarz, Peter E. H., Kooner, Jaspal S., Smith, Nicholas L., Matullo, Giuseppe, Barroso, Ine&#770, s, O Connell, Jeffrey R., Hunt, Steven C., Hernandez, Dena, Erdmann, Jeanette, Wu&#776, rz, Peter, Forrester, Terrence, Burton, Paul R., Ongen, Halit, Bandinelli, Stefania, Thelle, Dag S., Sehmi, Joban S., O Reilly, Paul F., Braund, Peter S., Danesh, John, Wyatt, Sharon B., Parker, Alex N., Polak, Josef F., Collins, Rory, Zhao, Jing Hua, Shi, Gang, Dehghan, Abbas, Rosengren, Annika, Whincup, Peter H., Duijn, Cornelia M., Hwang, Shih-jen, Ridker, Paul M., Chakravarti, Aravinda, Uda, Manuela, Tanaka, Toshiko, Pramstaller, Peter P., Morken, Mario A., Soininen, Pasi, Abecasis, Gonc&#807, alo R., Zhai, Guangju, Curb, J. David, Ferrucci, Luigi, Doumatey, Ayo P., Fox, Ervin R., Bergman, Richard N., Johnson, Toby, Larson, Martin G., Snieder, Harold, Morris, Richard W., Onland-moret, N. Charlotte, Johnson, Andrew D., Narisu, Narisu, Samani, Nilesh J., Pihur, Vasyl, Chaturvedi, Nish, Melander, Olle, Hamsten, Anders, Charchar, Fadi J., Ludwig, Barbara, Kim, Hyung-lae, Bergmann, Sven, Nalls, Michael A., Milaneschi, Yuri, Palmer, Nicholette D., Alexander, Myriam, Townsend, Raymond R., Caulfield, Mark J., Hilton, Gina, Tuomilehto, Jaakko, Lee, Jong-young, Perola, Markus, Grobbee, Diederick E., Longstreth, Will T., Munroe, Patricia B., Uitterlinden, Andre G., Iwai, Naoharu, Adeyemo, Adebowale, Cooper, Richard S., Mcardle, Wendy L., Sun, Yan V., Sijbrands, Eric J. G., Fabsitz, Richard R., Nguyen, Khanh-dung Hoang, Martin, Lisa W., Wareham, Nicholas J., Brown, Morris J., Wang, Xiaoling, Kuznetsova, Tatiana, Rao, Dabeeru C., Org, Elin, Gilst, Wiek H., Orru, Marco, Oostra, Ben A., Howard, Philip, Wagenknecht, Lynne E., Meschia, James F., Mooser, Vincent, Lehtima&#776, ki, Terho, Wong, Tien Y., Langefeld, Carl D., Bragg-gresham, Jennifer L., Bochud, Murielle, Arora, Pankaj, Kivimaki, Mika, Seielstad, Mark, O Donnell, Chris, Chasman, Daniel I., Farrall, Martin, Polasek, Ozren, Fava, Cristiano, Vitart, Veronique, Mani, K. Radha, Uiterwaal, Cuno S. P. M., Chang, Yen-pei C., Zhu, Haidong, Morrison, Alanna C., Bonnycastle, Lori L., Najjar, Samer, Vollenweider, Peter, Eaton, Charles B., Singleton, Andrew, Teumer, Alexander, Deloukas, Panos, Campbell, Harry, Terzic, Janos, Aulchenko, Yurii, Farlow, Deborah N., Psaty, Bruce M., Beckmann, Jacques S., Scott, James, Tobin, Martin D., Kao, Wen Hong Linda, Harst, Pim, Amin, Najaf, Zitting, Paavo, Pattaro, Cristian, Casas, Juan P., Ikram, M. Arfan, Coresh, Josef, Hingorani, Aroon D., Kulkarni, Smita R., Shrine, Nick R. G., Yao, Jie, Fowkes, F. Gerald R., Clarke, Robert, Gra&#776, ssler, Ju&#776, rgen, Hercberg, Serge, Wain, Louise V., Redline, Susan, Isaacs, Aaron, Hopewell, Jemma C., Lathrop, Mark, Vinay, D. G., Marmot, Michael G., Laan, Maris, Rasheed, Asif, So&#771, ber, Siim, Vartiainen, Erkki, Han, Bok-ghee, Rettig, Rainer, Kinra, Sanjay, Artigas, Maria Soler, Veldre, Gudrun, Navis, Gerjan, Shaw-hawkins, Sue, Franceschini, Nora, Lucas, Gavin, Penman, Alan D., Ong, Rick Twee-hee, Mohlke, Karen L., Beilby, John P., Zhu, Xiaofeng, Bots, Michiel L., Chen, Ming-huei, Denniff, Matthew, Brand, Stefan-martin, Kangas, Antti J., Hveem, Kristian, Chambers, John C., Tukiainen, Taru, Boehnke, Michael, Ramachandran, Vasan S., Connell, John M., Collins, Francis S., Khaw, Kay-tee, Nilsson, Peter, Wilson, James F., Yajnik, Chittaranjan S., Guarrera, Simonetta, Gieger, Christian, Elliott, Paul, Plump, Andrew, Ricceri, Fulvio, Tzoulaki, Ioanna, Garcia, Melissa, Ka&#776, ho&#776, nen, Mika, Laakso, Markku, Kumari, Meena, Stanca&#769, kova&#769, Alena, Corsi, Anna Maria, Soranzo, Nicole, Kettunen, Johannes, Gudnason, Vilmundur, Kardia, Sharon L. R., Hardy, Rebecca, Lakatta, Edward G., Goel, Anuj, Liu, Yongmei, Dong, Yanbin, Humphries, Steve E., Rice, Kenneth M., Newton-cheh, Christopher, Ko&#776, ttgen, Anna, Viigimaa, Margus, Tripathy, Vikal, Mangino, Massimo, Janipalli, Charles S., Heckbert, Susan R., Palmas, Walter, Watkins, Hugh, Do&#776, rr, Marcus, Kroemer, Heyo K., Weder, Alan B., Wu, Ying, Schwartz, Steven M., Miki, Tetsuro, Zelenika, Diana, Cooper, Jackie A., Kumar, M. J. Kranthi, International Consortium for Blood Pressure Genome-wide Association Studies (ICBP-GWAS), Ja&#776, rvelin, Marjo-riitt, EchoGen consortium, CARDIoGRAM consortium, CKDGen consortium, Charge-hf, Consortium, KidneyGen consortium, Medical Research Council (MRC), Kuznetsova, Tatiana, Staessen, Jan A, Pediatrics, Ehret, Georg Benedikt, International Consortium for Blood Pressure Genome-wide Association Studies (ICBP-GWAS), CARDIoGRAM consortium, CKDGen consortium, KidneyGen consortium, EchoGen consortium, CHARGE-HF consortium, Morrison, Alanna C [0000-0001-6381-4296], Ramachandran, Vasan S [0000-0001-7357-5970], Adeyemo, Adebowale [0000-0002-3105-3231], Martin, Lisa W [0000-0003-4352-0914], Caulfield, Mark J [0000-0001-9295-3594], Levy, Daniel [0000-0003-1843-8724], Apollo - University of Cambridge Repository, Epidemiologie, and RS: CARIM School for Cardiovascular Diseases
Subjects: Male, Candidate gene, Blood pressure, GWAS, genetic variant, African Americans, Genome-wide association study, Blood Pressure, 030204 cardiovascular system & hematology, Cardiovascular, Medical and Health Sciences, Cohort Studies, 0302 clinical medicine, Diastole, 2.1 Biological and endogenous factors, International Consortium for Blood Pressure Genome-wide Association Studies (ICBP-GWAS), European Continental Ancestry Group/genetics, Aetiology, International HapMap Project, International Consortium for Blood Pressure Genome-wide Association Studies, Genetics (clinical), ddc:616, Genetics, Genetics & Heredity, 0303 health sciences, Association Studies Articles, Single Nucleotide, General Medicine, 11 Medical And Health Sciences, Biological Sciences, Middle Aged, 3. Good health, Phenotype, Hypertension, Female, Adult, Genotype, Systole, European Continental Ancestry Group, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, White People, genome-wide association, hypertension prevalence, receptor, disease, family, loci, vasculature, awareness, traits, design, 03 medical and health sciences, Clinical Research, Genetic variation, Humans, Genetic variability, Polymorphism, Hypertension/epidemiology/genetics, Molecular Biology, 030304 developmental biology, Genetic association, Aged, African Americans/genetics, Human Genome, 06 Biological Sciences, Black or African American, Genetic Loci, Genome-Wide Association Study, Hypertension/epidemiology, Hypertension/genetics, Imputation (genetics)
Abstract: The prevalence of hypertension in African Americans (AAs) is higher than in other US groups; yet, few have performed genome-wide association studies (GWASs) in AA. Among people of European descent, GWASs have identified genetic variants at 13 loci that are associated with blood pressure. It is unknown if these variants confer susceptibility in people of African ancestry. Here, we examined genome-wide and candidate gene associations with systolic blood pressure (SBP) and diastolic blood pressure (DBP) using the Candidate Gene Association Resource (CARe) consortium consisting of 8591 AAs. Genotypes included genome-wide single-nucleotide polymorphism (SNP) data utilizing the Affymetrix 6.0 array with imputation to 2.5 million HapMap SNPs and candidate gene SNP data utilizing a 50K cardiovascular gene-centric array (ITMAT-Broad-CARe [IBC] array). For Affymetrix data, the strongest signal for DBP was rs10474346 (P= 3.6 × 10(-8)) located near GPR98 and ARRDC3. For SBP, the strongest signal was rs2258119 in C21orf91 (P= 4.7 × 10(-8)). The top IBC association for SBP was rs2012318 (P= 6.4 × 10(-6)) near SLC25A42 and for DBP was rs2523586 (P= 1.3 × 10(-6)) near HLA-B. None of the top variants replicated in additional AA (n = 11 882) or European-American (n = 69 899) cohorts. We replicated previously reported European-American blood pressure SNPs in our AA samples (SH2B3, P= 0.009; TBX3-TBX5, P= 0.03; and CSK-ULK3, P= 0.0004). These genetic loci represent the best evidence of genetic influences on SBP and DBP in AAs to date. More broadly, this work supports that notion that blood pressure among AAs is a trait with genetic underpinnings but also with significant complexity. ispartof: HUMAN MOLECULAR GENETICS vol:20 issue:11 pages:2273-2284 ispartof: location:England status: published
Published: 2011

107. Identifying systematic heterogeneity patterns in genetic association meta-analysis studies.

Author: Magosi, Lerato E., Goel, Anuj, Hopewell, Jemma C., Farrall, Martin, and null, null
Subjects: CORONARY disease, DIAGNOSIS, CORONARY heart disease treatment, META-analysis, BONFERRONI correction, MONTE Carlo method
Abstract: Progress in mapping loci associated with common complex diseases or quantitative inherited traits has been expedited by large-scale meta-analyses combining information across multiple studies, assembled through collaborative networks of researchers. Participating studies will usually have been independently designed and implemented in unique settings that are potential sources of phenotype, ancestry or other variability that could introduce between-study heterogeneity into a meta-analysis. Heterogeneity tests based on individual genetic variants (e.g. Q, I2) are not suited to identifying locus-specific from more systematic multi-locus or genome-wide patterns of heterogeneity. We have developed and evaluated an aggregate heterogeneity M statistic that combines between-study heterogeneity information across multiple genetic variants, to reveal systematic patterns of heterogeneity that elude conventional single variant analysis. Application to a GWAS meta-analysis of coronary disease with 48 contributing studies uncovered substantial systematic between-study heterogeneity, which could be partly explained by age-of-disease onset, family-history of disease and ancestry. Future meta-analyses of diseases and traits with multiple known genetic associations can use this approach to identify outlier studies and thereby optimize power to detect novel genetic associations. [ABSTRACT FROM AUTHOR]
Published: 2017
Full Text: View/download PDF

108. A Common LPA Null Allele Associates With Lower Lipoprotein(a) Levels and Coronary Artery Disease Risk

Author: Kyriakou, Theodosios, primary, Seedorf, Udo, additional, Goel, Anuj, additional, Hopewell, Jemma C., additional, Clarke, Robert, additional, Watkins, Hugh, additional, and Farrall, Martin, additional
Published: 2014
Full Text: View/download PDF

109. Abstract 534: A Common Null Allele of LPA is Associated With Lp(a) Levels and Coronary Artery Disease Risk

Author: Kyriakou, Theodosios, primary, Seedorf, Udo, additional, Goel, Anuj, additional, Hopewell, Jemma C, additional, Clarke, Robert, additional, Watkins, Hugh, additional, and Farrall, Martin, additional
Published: 2014
Full Text: View/download PDF

110. Central statistical monitoring in multicentre clinical trials: developing statistical approaches for analysing key risk indicators

Author: Valdes-Marquez, Elsa, primary, Hopewell, Jemma C, additional, Armitage, Jane, additional, and Landray, Martin, additional
Published: 2013
Full Text: View/download PDF

111. Multiethnic Meta-Analysis of Genome-Wide Association Studies in >100 000 Subjects Identifies 23 Fibrinogen-Associated Loci but No Strong Evidence of a Causal Association Between Circulating Fibrinogen and Cardiovascular Disease

Author: Sabater-Lleal, Maria, primary, Huang, Jie, additional, Chasman, Daniel, additional, Naitza, Silvia, additional, Dehghan, Abbas, additional, Johnson, Andrew D., additional, Teumer, Alexander, additional, Reiner, Alex P., additional, Folkersen, Lasse, additional, Basu, Saonli, additional, Rudnicka, Alicja R., additional, Trompet, Stella, additional, Mälarstig, Anders, additional, Baumert, Jens, additional, Bis, Joshua C., additional, Guo, Xiuqing, additional, Hottenga, Jouke J., additional, Shin, So-Youn, additional, Lopez, Lorna M., additional, Lahti, Jari, additional, Tanaka, Toshiko, additional, Yanek, Lisa R., additional, Oudot-Mellakh, Tiphaine, additional, Wilson, James F., additional, Navarro, Pau, additional, Huffman, Jennifer E., additional, Zemunik, Tatijana, additional, Redline, Susan, additional, Mehra, Reena, additional, Pulanic, Drazen, additional, Rudan, Igor, additional, Wright, Alan F., additional, Kolcic, Ivana, additional, Polasek, Ozren, additional, Wild, Sarah H., additional, Campbell, Harry, additional, Curb, J. David, additional, Wallace, Robert, additional, Liu, Simin, additional, Eaton, Charles B., additional, Becker, Diane M., additional, Becker, Lewis C., additional, Bandinelli, Stefania, additional, Räikkönen, Katri, additional, Widen, Elisabeth, additional, Palotie, Aarno, additional, Fornage, Myriam, additional, Green, David, additional, Gross, Myron, additional, Davies, Gail, additional, Harris, Sarah E., additional, Liewald, David C., additional, Starr, John M., additional, Williams, Frances M.K., additional, Grant, Peter J., additional, Spector, Timothy D., additional, Strawbridge, Rona J., additional, Silveira, Angela, additional, Sennblad, Bengt, additional, Rivadeneira, Fernando, additional, Uitterlinden, Andre G., additional, Franco, Oscar H., additional, Hofman, Albert, additional, van Dongen, Jenny, additional, Willemsen, Gonneke, additional, Boomsma, Dorret I., additional, Yao, Jie, additional, Swords Jenny, Nancy, additional, Haritunians, Talin, additional, McKnight, Barbara, additional, Lumley, Thomas, additional, Taylor, Kent D., additional, Rotter, Jerome I., additional, Psaty, Bruce M., additional, Peters, Annette, additional, Gieger, Christian, additional, Illig, Thomas, additional, Grotevendt, Anne, additional, Homuth, Georg, additional, Völzke, Henry, additional, Kocher, Thomas, additional, Goel, Anuj, additional, Franzosi, Maria Grazia, additional, Seedorf, Udo, additional, Clarke, Robert, additional, Steri, Maristella, additional, Tarasov, Kirill V., additional, Sanna, Serena, additional, Schlessinger, David, additional, Stott, David J., additional, Sattar, Naveed, additional, Buckley, Brendan M., additional, Rumley, Ann, additional, Lowe, Gordon D., additional, McArdle, Wendy L., additional, Chen, Ming-Huei, additional, Tofler, Geoffrey H., additional, Song, Jaejoon, additional, Boerwinkle, Eric, additional, Folsom, Aaron R., additional, Rose, Lynda M., additional, Franco-Cereceda, Anders, additional, Teichert, Martina, additional, Ikram, M. Arfan, additional, Mosley, Thomas H., additional, Bevan, Steve, additional, Dichgans, Martin, additional, Rothwell, Peter M., additional, Sudlow, Cathie L.M., additional, Hopewell, Jemma C., additional, Chambers, John C., additional, Saleheen, Danish, additional, Kooner, Jaspal S., additional, Danesh, John, additional, Nelson, Christopher P., additional, Erdmann, Jeanette, additional, Reilly, Muredach P., additional, Kathiresan, Sekar, additional, Schunkert, Heribert, additional, Morange, Pierre-Emmanuel, additional, Ferrucci, Luigi, additional, Eriksson, Johan G., additional, Jacobs, David, additional, Deary, Ian J., additional, Soranzo, Nicole, additional, Witteman, Jacqueline C.M., additional, de Geus, Eco J.C., additional, Tracy, Russell P., additional, Hayward, Caroline, additional, Koenig, Wolfgang, additional, Cucca, Francesco, additional, Jukema, J. Wouter, additional, Eriksson, Per, additional, Seshadri, Sudha, additional, Markus, Hugh S., additional, Watkins, Hugh, additional, Samani, Nilesh J., additional, Wallaschofski, Henri, additional, Smith, Nicholas L., additional, Tregouet, David, additional, Ridker, Paul M, additional, Tang, Weihong, additional, Strachan, David P., additional, Hamsten, Anders, additional, and O’Donnell, Christopher J., additional
Published: 2013
Full Text: View/download PDF

112. Low-frequency and common genetic variation in ischemic stroke: The METASTROKE collaboration.

Author: Malik, Rainer, Traylor, Matthew, Pulit, Sara L., Bevan, Steve, Hopewell, Jemma C., Holliday, Elizabeth G., Wei Zhao, Abrantes, Patricia, Amouyel, Philippe, Attia, John R., Battey, Thomas W. K., Berger, Klaus, Boncoraglio, Giorgio B., Chauhan, Ganesh, Yu-Ching Cheng, Wei-Min Chen, Clarke, Robert, Cotlarciuc, Ioana, Debette, Stephanie, and Falcone, Guido J.
Published: 2016
Full Text: View/download PDF

113. Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study

Author: Voight, Benjamin F, primary, Peloso, Gina M, additional, Orho-Melander, Marju, additional, Frikke-Schmidt, Ruth, additional, Barbalic, Maja, additional, Jensen, Majken K, additional, Hindy, George, additional, Hólm, Hilma, additional, Ding, Eric L, additional, Johnson, Toby, additional, Schunkert, Heribert, additional, Samani, Nilesh J, additional, Clarke, Robert, additional, Hopewell, Jemma C, additional, Thompson, John F, additional, Li, Mingyao, additional, Thorleifsson, Gudmar, additional, Newton-Cheh, Christopher, additional, Musunuru, Kiran, additional, Pirruccello, James P, additional, Saleheen, Danish, additional, Chen, Li, additional, Stewart, Alexandre FR, additional, Schillert, Arne, additional, Thorsteinsdottir, Unnur, additional, Thorgeirsson, Gudmundur, additional, Anand, Sonia, additional, Engert, James C, additional, Morgan, Thomas, additional, Spertus, John, additional, Stoll, Monika, additional, Berger, Klaus, additional, Martinelli, Nicola, additional, Girelli, Domenico, additional, McKeown, Pascal P, additional, Patterson, Christopher C, additional, Epstein, Stephen E, additional, Devaney, Joseph, additional, Burnett, Mary-Susan, additional, Mooser, Vincent, additional, Ripatti, Samuli, additional, Surakka, Ida, additional, Nieminen, Markku S, additional, Sinisalo, Juha, additional, Lokki, Marja-Liisa, additional, Perola, Markus, additional, Havulinna, Aki, additional, de Faire, Ulf, additional, Gigante, Bruna, additional, Ingelsson, Erik, additional, Zeller, Tanja, additional, Wild, Philipp, additional, de Bakker, Paul I W, additional, Klungel, Olaf H, additional, Maitland-van der Zee, Anke-Hilse, additional, Peters, Bas J M, additional, de Boer, Anthonius, additional, Grobbee, Diederick E, additional, Kamphuisen, Pieter W, additional, Deneer, Vera H M, additional, Elbers, Clara C, additional, Onland-Moret, N Charlotte, additional, Hofker, Marten H, additional, Wijmenga, Cisca, additional, Verschuren, WM Monique, additional, Boer, Jolanda MA, additional, van der Schouw, Yvonne T, additional, Rasheed, Asif, additional, Frossard, Philippe, additional, Demissie, Serkalem, additional, Willer, Cristen, additional, Do, Ron, additional, Ordovas, Jose M, additional, Abecasis, Gonçalo R, additional, Boehnke, Michael, additional, Mohlke, Karen L, additional, Daly, Mark J, additional, Guiducci, Candace, additional, Burtt, Noël P, additional, Surti, Aarti, additional, Gonzalez, Elena, additional, Purcell, Shaun, additional, Gabriel, Stacey, additional, Marrugat, Jaume, additional, Peden, John, additional, Erdmann, Jeanette, additional, Diemert, Patrick, additional, Willenborg, Christina, additional, König, Inke R, additional, Fischer, Marcus, additional, Hengstenberg, Christian, additional, Ziegler, Andreas, additional, Buysschaert, Ian, additional, Lambrechts, Diether, additional, Van de Werf, Frans, additional, Fox, Keith A, additional, El Mokhtari, Nour Eddine, additional, Rubin, Diana, additional, Schrezenmeir, Jürgen, additional, Schreiber, Stefan, additional, Schäfer, Arne, additional, Danesh, John, additional, Blankenberg, Stefan, additional, Roberts, Robert, additional, McPherson, Ruth, additional, Watkins, Hugh, additional, Hall, Alistair S, additional, Overvad, Kim, additional, Rimm, Eric, additional, Boerwinkle, Eric, additional, Tybjaerg-Hansen, Anne, additional, Cupples, L Adrienne, additional, Reilly, Muredach P, additional, Melander, Olle, additional, Mannucci, Pier M, additional, Ardissino, Diego, additional, Siscovick, David, additional, Elosua, Roberto, additional, Stefansson, Kari, additional, O'Donnell, Christopher J, additional, Salomaa, Veikko, additional, Rader, Daniel J, additional, Peltonen, Leena, additional, Schwartz, Stephen M, additional, Altshuler, David, additional, and Kathiresan, Sekar, additional
Published: 2012
Full Text: View/download PDF

114. Lipids and Lipoproteins and Risk of Different Vascular Events in the MRC/BHF Heart Protection Study

Author: Parish, Sarah, primary, Offer, Alison, additional, Clarke, Robert, additional, Hopewell, Jemma C., additional, Hill, Michael R., additional, Otvos, James D., additional, Armitage, Jane, additional, and Collins, Rory, additional
Published: 2012
Full Text: View/download PDF

115. Association analyses based on false discovery rate implicate new loci for coronary artery disease

Author: Nelson, Christopher P, Goel, Anuj, Butterworth, Adam S, Kanoni, Stavroula, Webb, Tom R, Marouli, Eirini, Zeng, Lingyao, Ntalla, Ioanna, Lai, Florence Y, Hopewell, Jemma C, Giannakopoulou, Olga, Jiang, Tao, Hamby, Stephen E, Di Angelantonio, Emanuele, Assimes, Themistocles L, Bottinger, Erwin P, Chambers, John C, Clarke, Robert, Palmer, Colin N A, Cubbon, Richard M, Ellinor, Patrick, Ermel, Raili, Evangelou, Evangelos, Franks, Paul W, Grace, Christopher, Gu, Dongfeng, Hingorani, Aroon D, Howson, Joanna M M, Ingelsson, Erik, Kastrati, Adnan, Kessler, Thorsten, Kyriakou, Theodosios, Lehtimäki, Terho, Lu, Xiangfeng, Lu, Yingchang, März, Winfried, McPherson, Ruth, Metspalu, Andres, Pujades-Rodriguez, Mar, Ruusalepp, Arno, Schadt, Eric E, Schmidt, Amand F, Sweeting, Michael J, Zalloua, Pierre A, AlGhalayini, Kamal, Keavney, Bernard D, Kooner, Jaspal S, Loos, Ruth J F, Patel, Riyaz S, Rutter, Martin K, Tomaszewski, Maciej, Tzoulaki, Ioanna, Zeggini, Eleftheria, Erdmann, Jeanette, Dedoussis, George, Björkegren, Johan L M, Schunkert, Heribert, Farrall, Martin, Danesh, John, Samani, Nilesh J, Watkins, Hugh, and Deloukas, Panos
Abstract: Genome-wide association studies (GWAS) in coronary artery disease (CAD) had identified 66 loci at 'genome-wide significance' (P < 5 × 10−8) at the time of this analysis, but a much larger number of putative loci at a false discovery rate (FDR) of 5% (refs. 1,2,3,4). Here we leverage an interim release of UK Biobank (UKBB) data to evaluate the validity of the FDR approach. We tested a CAD phenotype inclusive of angina (SOFT; ncases= 10,801) as well as a stricter definition without angina (HARD; ncases= 6,482) and selected cases with the former phenotype to conduct a meta-analysis using the two most recent CAD GWAS. This approach identified 13 new loci at genome-wide significance, 12 of which were on our previous list of loci meeting the 5% FDR threshold, thus providing strong support that the remaining loci identified by FDR represent genuine signals. The 304 independent variants associated at 5% FDR in this study explain 21.2% of CAD heritability and identify 243 loci that implicate pathways in blood vessel morphogenesis as well as lipid metabolism, nitric oxide signaling and inflammation.
Published: 2017
Full Text: View/download PDF

116. Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation

Author: Christophersen, Ingrid E, Rienstra, Michiel, Roselli, Carolina, Yin, Xiaoyan, Geelhoed, Bastiaan, Barnard, John, Lin, Honghuang, Arking, Dan E, Smith, Albert V, Albert, Christine M, Chaffin, Mark, Tucker, Nathan R, Li, Molong, Klarin, Derek, Bihlmeyer, Nathan A, Low, Siew-Kee, Weeke, Peter E, Müller-Nurasyid, Martina, Smith, J Gustav, Brody, Jennifer A, Niemeijer, Maartje N, Dörr, Marcus, Trompet, Stella, Huffman, Jennifer, Gustafsson, Stefan, Schurmann, Claudia, Kleber, Marcus E, Lyytikäinen, Leo-Pekka, Seppälä, Ilkka, Malik, Rainer, Horimoto, Andrea R V R, Perez, Marco, Sinisalo, Juha, Aeschbacher, Stefanie, Thériault, Sébastien, Yao, Jie, Radmanesh, Farid, Weiss, Stefan, Teumer, Alexander, Choi, Seung Hoan, Weng, Lu-Chen, Clauss, Sebastian, Deo, Rajat, Rader, Daniel J, Shah, Svati H, Sun, Albert, Hopewell, Jemma C, Debette, Stephanie, Chauhan, Ganesh, Yang, Qiong, Worrall, Bradford B, Paré, Guillaume, Kamatani, Yoichiro, Hagemeijer, Yanick P, Verweij, Niek, Siland, Joylene E, Kubo, Michiaki, Smith, Jonathan D, Van Wagoner, David R, Bis, Joshua C, Perz, Siegfried, Psaty, Bruce M, Ridker, Paul M, Magnani, Jared W, Harris, Tamara B, Launer, Lenore J, Shoemaker, M Benjamin, Padmanabhan, Sandosh, Haessler, Jeffrey, Bartz, Traci M, Waldenberger, Melanie, Lichtner, Peter, Arendt, Marina, Krieger, Jose E, Kähönen, Mika, Risch, Lorenz, Mansur, Alfredo J, Peters, Annette, Smith, Blair H, Lind, Lars, Scott, Stuart A, Lu, Yingchang, Bottinger, Erwin B, Hernesniemi, Jussi, Lindgren, Cecilia M, Wong, Jorge A, Huang, Jie, Eskola, Markku, Morris, Andrew P, Ford, Ian, Reiner, Alex P, Delgado, Graciela, Chen, Lin Y, Chen, Yii-Der Ida, Sandhu, Roopinder K, Li, Man, Boerwinkle, Eric, Eisele, Lewin, Lannfelt, Lars, Rost, Natalia, Anderson, Christopher D, Taylor, Kent D, Campbell, Archie, Magnusson, Patrik K, Porteous, David, Hocking, Lynne J, Vlachopoulou, Efthymia, Pedersen, Nancy L, Nikus, Kjell, Orho-Melander, Marju, Hamsten, Anders, Heeringa, Jan, Denny, Joshua C, Kriebel, Jennifer, Darbar, Dawood, Newton-Cheh, Christopher, Shaffer, Christian, Macfarlane, Peter W, Heilmann-Heimbach, Stefanie, Almgren, Peter, Huang, Paul L, Sotoodehnia, Nona, Soliman, Elsayed Z, Uitterlinden, Andre G, Hofman, Albert, Franco, Oscar H, Völker, Uwe, Jöckel, Karl-Heinz, Sinner, Moritz F, Lin, Henry J, Guo, Xiuqing, Dichgans, Martin, Ingelsson, Erik, Kooperberg, Charles, Melander, Olle, Loos, Ruth J F, Laurikka, Jari, Conen, David, Rosand, Jonathan, van der Harst, Pim, Lokki, Marja-Liisa, Kathiresan, Sekar, Pereira, Alexandre, Jukema, J Wouter, Hayward, Caroline, Rotter, Jerome I, März, Winfried, Lehtimäki, Terho, Stricker, Bruno H, Chung, Mina K, Felix, Stephan B, Gudnason, Vilmundur, Alonso, Alvaro, Roden, Dan M, Kääb, Stefan, Chasman, Daniel I, Heckbert, Susan R, Benjamin, Emelia J, Tanaka, Toshihiro, Lunetta, Kathryn L, Lubitz, Steven A, and Ellinor, Patrick T
Abstract: Atrial fibrillation affects more than 33 million people worldwide and increases the risk of stroke, heart failure, and death. Fourteen genetic loci have been associated with atrial fibrillation in European and Asian ancestry groups. To further define the genetic basis of atrial fibrillation, we performed large-scale, trans-ancestry meta-analyses of common and rare variant association studies. The genome-wide association studies (GWAS) included 17,931 individuals with atrial fibrillation and 115,142 referents; the exome-wide association studies (ExWAS) and rare variant association studies (RVAS) involved 22,346 cases and 132,086 referents. We identified 12 new genetic loci that exceeded genome-wide significance, implicating genes involved in cardiac electrical and structural remodeling. Our results nearly double the number of known genetic loci for atrial fibrillation, provide insights into the molecular basis of atrial fibrillation, and may facilitate the identification of new potential targets for drug discovery.
Published: 2017
Full Text: View/download PDF

117. Abstract 18256: Importance of Controlling Dietary Intake of Saturated Fat for Prevention of Coronary Heart Disease: Lessons From the Metabolic Ward Studies

Author: Clarke, Robert, primary and Hopewell, Jemma C, additional
Published: 2011
Full Text: View/download PDF

118. Lipoprotein(a) Genetic Variants Associated With Coronary and Peripheral Vascular Disease but Not With Stroke Risk in the Heart Protection Study

Author: Hopewell, Jemma C., primary, Clarke, Robert, additional, Parish, Sarah, additional, Armitage, Jane, additional, Lathrop, Mark, additional, Hager, Jorg, additional, and Collins, Rory, additional
Published: 2011
Full Text: View/download PDF

119. Forty-Three Loci Associated with Plasma Lipoprotein Size, Concentration, and Cholesterol Content in Genome-Wide Analysis

Author: Chasman, Daniel I., primary, Paré, Guillaume, additional, Mora, Samia, additional, Hopewell, Jemma C., additional, Peloso, Gina, additional, Clarke, Robert, additional, Cupples, L. Adrienne, additional, Hamsten, Anders, additional, Kathiresan, Sekar, additional, Mälarstig, Anders, additional, Ordovas, José M., additional, Ripatti, Samuli, additional, Parker, Alex N., additional, Miletich, Joseph P., additional, and Ridker, Paul M., additional
Published: 2009
Full Text: View/download PDF

120. Shared genetic basis for migraine and ischemic stroke: A genome-wide analysis of common variants.

Author: Malik, Rainer, Freilinger, Tobias, Winsvold, Bendik S, Anttila, Verneri, Vander Heiden, Jason, Traylor, Matthew, de Vries, Boukje, Holliday, Elizabeth G, Terwindt, Gisela M, Sturm, Jonathan, Bis, Joshua C, Hopewell, Jemma C, Ferrari, Michel D, Rannikmae, Kristiina, Wessman, Maija, Kallela, Mikko, Kubisch, Christian, Fornage, Myriam, Meschia, James F, and Lehtimäki, Terho
Published: 2015
Full Text: View/download PDF

121. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Author: Pattaro, Cristian, Teumer, Alexander, Gorski, Mathias, Chu, Audrey Y., Li, Man, Mijatovic, Vladan, Garnaas, Maija, Tin, Adrienne, Sorice, Rossella, Li, Yong, Taliun, Daniel, Olden, Matthias, Foster, Meredith, Yang, Qiong, Chen, Ming-Huei, Pers, Tune H., Johnson, Andrew D., Ko, Yi-An, Fuchsberger, Christian, Tayo, Bamidele, Nalls, Michael, Feitosa, Mary F., Isaacs, Aaron, Dehghan, Abbas, d'Adamo, Pio, Adeyemo, Adebowale, Dieffenbach, Aida Karina, Zonderman, Alan B., Nolte, Ilja M., van der Most, Peter J., Wright, Alan F., Shuldiner, Alan R., Morrison, Alanna C., Hofman, Albert, Smith, Albert V., Dreisbach, Albert W., Franke, Andre, Uitterlinden, Andre G., Metspalu, Andres, Tonjes, Anke, Lupo, Antonio, Robino, Antonietta, Johansson, Åsa, Demirkan, Ayse, Kollerits, Barbara, Freedman, Barry I., Ponte, Belen, Oostra, Ben A., Paulweber, Bernhard, Krämer, Bernhard K., Mitchell, Braxton D., Buckley, Brendan M., Peralta, Carmen A., Hayward, Caroline, Helmer, Catherine, Rotimi, Charles N., Shaffer, Christian M., Müller, Christian, Sala, Cinzia, van Duijn, Cornelia M., Saint-Pierre, Aude, Ackermann, Daniel, Shriner, Daniel, Ruggiero, Daniela, Toniolo, Daniela, Lu, Yingchang, Cusi, Daniele, Czamara, Darina, Ellinghaus, David, Siscovick, David S., Ruderfer, Douglas, Gieger, Christian, Grallert, Harald, Rochtchina, Elena, Atkinson, Elizabeth J., Holliday, Elizabeth G., Boerwinkle, Eric, Salvi, Erika, Bottinger, Erwin P., Murgia, Federico, Rivadeneira, Fernando, Ernst, Florian, Kronenberg, Florian, Hu, Frank B., Navis, Gerjan J., Curhan, Gary C., Ehret, George B., Homuth, Georg, Coassin, Stefan, Thun, Gian-Andri, Pistis, Giorgio, Gambaro, Giovanni, Malerba, Giovanni, Montgomery, Grant W., Eiriksdottir, Gudny, Jacobs, Gunnar, Li, Guo, Wichmann, H-Erich, Campbell, Harry, Schmidt, Helena, Wallaschofski, Henri, Völzke, Henry, Brenner, Hermann, Kroemer, Heyo K., Kramer, Holly, Lin, Honghuang, Leach, I. Mateo, Ford, Ian, Guessous, Idris, Rudan, Igor, Prokopenko, Inga, Borecki, Ingrid, Heid, Iris M., Kolcic, Ivana, Persico, Ivana, Jukema, J. Wouter, Wilson, James F., Felix, Janine F., Divers, Jasmin, Lambert, Jean-Charles, Stafford, Jeanette M., Gaspoz, Jean-Michel, Smith, Jennifer A., Faul, Jessica D., Wang, Jie Jin, Ding, Jingzhong, Hirschhorn, Joel N., Attia, John, Whitfield, John B., Chalmers, John, Viikari, Jorma, Coresh, Josef, Denny, Joshua C., Karjalainen, Juha, Fernandes, Jyotika K., Endlich, Karlhans, Butterbach, Katja, Keene, Keith L., Lohman, Kurt, Portas, Laura, Launer, Lenore J., Lyytikäinen, Leo-Pekka, Yengo, Loic, Franke, Lude, Ferrucci, Luigi, Rose, Lynda M., Kedenko, Lyudmyla, Rao, Madhumathi, Struchalin, Maksim, Kleber, Marcus E., Cavalieri, Margherita, Haun, Margot, Cornelis, Marilyn C., Ciullo, Marina, Pirastu, Mario, de Andrade, Mariza, McEvoy, Mark A., Woodward, Mark, Adam, Martin, Cocca, Massimiliano, Nauck, Matthias, Imboden, Medea, Waldenberger, Melanie, Pruijm, Menno, Metzger, Marie, Stumvoll, Michael, Evans, Michele K., Sale, Michele M., Kähönen, Mika, Boban, Mladen, Bochud, Murielle, Rheinberger, Myriam, Verweij, Niek, Bouatia-Naji, Nabila, Martin, Nicholas G., Hastie, Nick, Probst-Hensch, Nicole, Soranzo, Nicole, Devuyst, Olivier, Raitakari, Olli, Gottesman, Omri, Franco, Oscar H., Polasek, Ozren, Gasparini, Paolo, Munroe, Patricia B., Ridker, Paul M., Mitchell, Paul, Muntner, Paul, Meisinger, Christa, Smit, Johannes H., Abecasis, Goncalo R., Adair, Linda S., Alexander, Myriam, Altshuler, David, Amin, Najaf, Arking, Dan E., Arora, Pankaj, Aulchenko, Yurii, Bakker, Stephan J. L., Bandinelli, Stefania, Barroso, Ines, Beckmann, Jacques S., Beilby, John P., Bergman, Richard N., Bergmann, Sven, Bis, Joshua C., Boehnke, Michael, Bonnycastle, Lori L., Bornstein, Stefan R., Bots, Michiel L., Bragg-Gresham, Jennifer L., Brand, Stefan-Martin, Brand, Eva, Braund, Peter S., Brown, Morris J., Burton, Paul R., Casas, Juan P., Caulfield, Mark J., Chakravarti, Aravinda, Chambers, John C., Chandak, Giriraj R., Chang, Yen-Pei C., Charchar, Fadi J., Chaturvedi, Nish, Shin Cho, Yoon, Clarke, Robert, Collins, Francis S., Collins, Rory, Connell, John M., Cooper, Jackie A., Cooper, Matthew N., Cooper, Richard S., Corsi, Anna Maria, Dörr, Marcus, Dahgam, Santosh, Danesh, John, Smith, George Davey, Day, Ian N. M., Deloukas, Panos, Denniff, Matthew, Dominiczak, Anna F., Dong, Yanbin, Doumatey, Ayo, Elliott, Paul, Elosua, Roberto, Erdmann, Jeanette, Eyheramendy, Susana, Farrall, Martin, Fava, Cristiano, Forrester, Terrence, Fowkes, F. Gerald R., Fox, Ervin R., Frayling, Timothy M., Galan, Pilar, Ganesh, Santhi K., Garcia, Melissa, Gaunt, Tom R., Glazer, Nicole L., Go, Min Jin, Goel, Anuj, Grässler, Jürgen, Grobbee, Diederick E., Groop, Leif, Guarrera, Simonetta, Guo, Xiuqing, Hadley, David, Hamsten, Anders, Han, Bok-Ghee, Hardy, Rebecca, Hartikainen, Anna-Liisa, Heath, Simon, Heckbert, Susan R., Hedblad, Bo, Hercberg, Serge, Hernandez, Dena, Hicks, Andrew A., Hilton, Gina, Hingorani, Aroon D., Bolton, Judith A Hoffman, Hopewell, Jemma C., Howard, Philip, Humphries, Steve E., Hunt, Steven C., Hveem, Kristian, Ikram, M. Arfan, Islam, Muhammad, Iwai, Naoharu, Jarvelin, Marjo-Riitta, Jackson, Anne U., Jafar, Tazeen H., Janipalli, Charles S., Johnson, Toby, Kathiresan, Sekar, Khaw, Kay-Tee, Kim, Hyung-Lae, Kinra, Sanjay, Kita, Yoshikuni, Kivimaki, Mika, Kooner, Jaspal S., Kumar, M. J. Kranthi, Kuh, Diana, Kulkarni, Smita R., Kumari, Meena, Kuusisto, Johanna, Kuznetsova, Tatiana, Laakso, Markku, Laan, Maris, Laitinen, Jaana, Lakatta, Edward G., Langefeld, Carl D., Larson, Martin G., Lathrop, Mark, Lawlor, Debbie A., Lawrence, Robert W., Lee, Jong-Young, Lee, Nanette R., Levy, Daniel, Li, Yali, Longstreth, Will T., Luan, Jian'an, Lucas, Gavin, Ludwig, Barbara, Mangino, Massimo, Mani, K. Radha, Marmot, Michael G., Mattace-Raso, Francesco U. S., Matullo, Giuseppe, McArdle, Wendy L., McKenzie, Colin A., Meitinger, Thomas, Melander, Olle, Meneton, Pierre, Meschia, James F., Miki, Tetsuro, Milaneschi, Yuri, Mohlke, Karen L., Mooser, Vincent, Morken, Mario A., Morris, Richard W., Mosley, Thomas H., Najjar, Samer, Narisu, Narisu, Newton-Cheh, Christopher, Nguyen, Khanh-Dung Hoang, Nilsson, Peter, Nyberg, Fredrik, O'Donnell, Christopher J., Ogihara, Toshio, Ohkubo, Takayoshi, Okamura, Tomonori, Ong, RickTwee-Hee, Ongen, Halit, Onland-Moret, N. Charlotte, O'Reilly, Paul F., Org, Elin, Orru, Marco, Palmas, Walter, Palmen, Jutta, Palmer, Lyle J., Palmer, Nicholette D., Parker, Alex N., Peden, John F., Peltonen, Leena, Perola, Markus, Pihur, Vasyl, Platou, Carl G. P., Plump, Andrew, Prabhakaran, Dorairajan, Psaty, Bruce M., Raffel, Leslie J., Rao, Dabeeru C., Rasheed, Asif, Ricceri, Fulvio, Rice, Kenneth M., Rosengren, Annika, Rotter, Jerome I., Rudock, Megan E., Sõber, Siim, Salako, Tunde, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Schwartz, Steven M., Schwarz, Peter E. H., Scott, Laura J., Scott, James, Scuteri, Angelo, Sehmi, Joban S., Seielstad, Mark, Seshadri, Sudha, Sharma, Pankaj, Shaw-Hawkins, Sue, Shi, Gang, Shrine, Nick R. G., Sijbrands, Eric J. G., Sim, Xueling, Singleton, Andrew, Sjögren, Marketa, Smith, Nicholas L., Artigas, Maria Soler, Spector, Tim D., Staessen, Jan A., Stancakova, Alena, Steinle, Nanette I., Strachan, David P., Stringham, Heather M., Sun, Yan V., Swift, Amy J., Tabara, Yasuharu, Tai, E-Shyong, Talmud, Philippa J., Taylor, Andrew, Terzic, Janos, Thelle, Dag S., Tobin, Martin D., Tomaszewski, Maciej, Tripathy, Vikal, Tuomilehto, Jaakko, Tzoulaki, Ioanna, Uda, Manuela, Ueshima, Hirotsugu, Uiterwaal, Cuno S. P. M., Umemura, Satoshi, van der Harst, Pim, van der Schouw, Yvonne T., van Gilst, Wiek H., Vartiainen, Erkki, Vasan, Ramachandran S., Veldre, Gudrun, Verwoert, Germaine C., Viigimaa, Margus, Vinay, D. G., Vineis, Paolo, Voight, Benjamin F., Vollenweider, Peter, Wagenknecht, Lynne E., Wain, Louise V., Wang, Xiaoling, Wang, Thomas J., Wareham, Nicholas J., Watkins, Hugh, Weder, Alan B., Whincup, Peter H., Wiggins, Kerri L., Witteman, Jacqueline C. M., Wong, Andrew, Wu, Ying, Yajnik, Chittaranjan S., Yao, Jie, Young, J. H., Zelenika, Diana, Zhai, Guangju, Zhang, Weihua, Zhang, Feng, Zhao, Jing Hua, Zhu, Haidong, Zhu, Xiaofeng, Zitting, Paavo, Zukowska-Szczechowska, Ewa, Okada, Yukinori, Wu, Jer-Yuarn, Gu, Dongfeng, Takeuchi, Fumihiko, Takahashi, Atsushi, Maeda, Shiro, Tsunoda, Tatsuhiko, Chen, Peng, Lim, Su-Chi, Wong, Tien-Yin, Liu, Jianjun, Young, Terri L., Aung, Tin, Teo, Yik-Ying, Kim, Young Jin, Kang, Daehee, Chen, Chien-Hsiun, Tsai, Fuu-Jen, Chang, Li-Ching, Fann, S. -J. Cathy, Mei, Hao, Hixson, James E., Chen, Shufeng, Katsuya, Tomohiro, Isono, Masato, Albrecht, Eva, Yamamoto, Kazuhiko, Kubo, Michiaki, Nakamura, Yusuke, Kamatani, Naoyuki, Kato, Norihiro, He, Jiang, Chen, Yuan-Tsong, Tanaka, Toshihiro, Reilly, Muredach P, Schunkert, Heribert, Assimes, Themistocles L., Hall, Alistair, Hengstenberg, Christian, König, Inke R., Laaksonen, Reijo, McPherson, Ruth, Thompson, John R., Thorsteinsdottir, Unnur, Ziegler, Andreas, Absher, Devin, Chen, Li, Cupples13, L. Adrienne, Halperin, Eran, Li, Mingyao, Musunuru, Kiran, Preuss, Michael, Schillert, Arne, Thorleifsson, Gudmar, Wells, George A., Holm, Hilma, Roberts, Robert, Stewart, Alexandre F. R., Fortmann, Stephen, Go, Alan, Hlatky, Mark, Iribarren, Carlos, Knowles, Joshua, Myers, Richard, Quertermous, Thomas, Sidney, Steven, Risch, Neil, Tang, Hua, Blankenberg, Stefan, Schnabel, Renate, Sinning, Christoph, Lackner, Karl J., Tiret, Laurence, Nicaud, Viviane, Cambien, Francois, Bickel, Christoph, Rupprecht, Hans J., Perret, Claire, Proust, Carole, Münzel, Thomas F., Barbalic, Maja, Chen, Ida Yii-Der, Demissie-Banjaw, Serkalem, Folsom, Aaron, Lumley, Thomas, Marciante, Kristin, Taylor, Kent D., Volcik, Kelly, Gretarsdottir, Solveig, Gulcher, Jeffrey R., Kong, Augustine, Stefansson, Kari, Thorgeirsson, Gudmundur, Andersen, Karl, Fischer, Marcus, Grosshennig, Anika, Linsel-Nitschke, Patrick, Stark, Klaus, Schreiber, Stefan, Aherrahrou, Zouhair, Bruse, Petra, Doering, Angela, Klopp, Norman, Diemert, Patrick, Loley, Christina, Medack, Anja, Nahrstedt, Janja, Peters, Annette, Wagner, Arnika K., Willenborg, Christina, Böhm, Bernhard O., Dobnig, Harald, Grammer, Tanja B., Hoffmann, Michael M., Meinitzer, Andreas, Winkelmann, Bernhard R., Pilz, Stefan, Renner, Wilfried, Scharnagl, Hubert, Stojakovic, Tatjana, Tomaschitz, Andreas, Winkler, Karl, Guiducci, Candace, Burtt, Noel, Gabriel, Stacey B., Dandona, Sonny, Jarinova, Olga, Qu, Liming, Wilensky, Robert, Matthai, William, Hakonarson, Hakon H., Devaney, Joe, Burnett, Mary Susan, Pichard, Augusto D., Kent, Kenneth M., Satler, Lowell, Lindsay, Joseph M., Waksman, Ron, Knouff, Christopher W., Waterworth, Dawn M., Walker, Max C., Epstein, Stephen E., Rader, Daniel J., Nelson, Christopher P., Wright, Benjamin J., Balmforth, Anthony J., Ball, Stephen G., Loehr, Laura R., Rosamond, Wayne D., Benjamin, Emelia, Haritunians, Talin, Couper, David, Murabito, Joanne, Wang, Ying A., Stricker, Bruno H., Chang, Patricia P., Willerson, James T., Felix, Stephan B., Watzinger, Norbert, Aragam, Jayashri, Zweiker, Robert, Lind, Lars, Rodeheffer, Richard J., Greiser, Karin Halina, Deckers, Jaap W., Stritzke, Jan, Ingelsson, Erik, Kullo, Iftikhar, Haerting, Johannes, Reffelmann, Thorsten, Redfield, Margaret M., Werdan, Karl, Mitchell, Gary F., Arnett, Donna K., Gottdiener, John S., Blettner, Maria, Friedrich, Nele, Kovacs, Peter, Wild, Philipp S., Froguel, Philippe, Rettig, Rainer, Mägi, Reedik, Biffar, Reiner, Schmidt, Reinhold, Middelberg, Rita P. S., Carroll, Robert J., Penninx, Brenda W., Scott, Rodney J., Katz, Ronit, Sedaghat, Sanaz, Wild, Sarah H., Kardia, Sharon L. R., Ulivi, Sheila, Hwang, Shih-Jen, Enroth, Stefan, Kloiber, Stefan, Trompet, Stella, Stengel, Benedicte, Hancock, Stephen J., Turner, Stephen T., Rosas, Sylvia E., Stracke, Sylvia, Harris, Tamara B., Zeller, Tanja, Zemunik, Tatijana, Lehtimäki, Terho, Illig, Thomas, Aspelund, Thor, Nikopensius, Tiit, Esko, Tonu, Tanaka, Toshiko, Gyllensten, Ulf, Völker, Uwe, Emilsson, Valur, Vitart, Veronique, Aalto, Ville, Gudnason, Vilmundur, Chouraki, Vincent, Chen, Wei-Min, Igl, Wilmar, März, Winfried, Koenig, Wolfgang, Lieb, Wolfgang, Loos, Ruth J. F., Liu, Yongmei, Snieder, Harold, Pramstaller, Peter P., Parsa, Afshin, O'Connell, Jeffrey R., Susztak, Katalin, Hamet, Pavel, Tremblay, Johanne, de Boer, Ian H., Böger, Carsten A., Goessling, Wolfram, Chasman, Daniel I., Köttgen, Anna, Kao, W. H. Linda, and Fox, Caroline S.
Abstract: Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.
Published: 2016
Full Text: View/download PDF

122. A genome-wide association study in Europeans and South Asians identifies five new loci for coronary artery disease.

Author: Peden, John F, Hopewell, Jemma C, Saleheen, Danish, Chambers, John C, Hager, Jorg, Soranzo, Nicole, Collins, Rory, Danesh, John, Elliott, Paul, Farrall, Martin, Stirrups, Kathy, Zhang, Weihua, Hamsten, Anders, Parish, Sarah, Lathrop, Mark, Watkins, Hugh, Clarke, Robert, Deloukas, Panos, Kooner, Jaspal S, and Goel, Anuj
Subjects: *CORONARY disease, *CORONARY artery bypass, *MYOCARDIAL infarction, *VIRAL replication, *DNA replication, *GENETIC polymorphisms, *GENE expression
Abstract: Genome-wide association studies have identified 11 common variants convincingly associated with coronary artery disease (CAD), a modest number considering the apparent heritability of CAD. All of these variants have been discovered in European populations. We report a meta-analysis of four large genome-wide association studies of CAD, with ?575,000 genotyped SNPs in a discovery dataset comprising 15,420 individuals with CAD (cases) (8,424 Europeans and 6,996 South Asians) and 15,062 controls. There was little evidence for ancestry-specific associations, supporting the use of combined analyses. Replication in an independent sample of 21,408 cases and 19,185 controls identified five loci newly associated with CAD (P < 5 × 10?8 in the combined discovery and replication analysis): LIPA on 10q23, PDGFD on 11q22, ADAMTS7-MORF4L1 on 15q25, a gene rich locus on 7q22 and KIAA1462 on 10p11. The CAD-associated SNP in the PDGFD locus showed tissue-specific cis expression quantitative trait locus effects. These findings implicate new pathways for CAD susceptibility. [ABSTRACT FROM AUTHOR]
Published: 2011
Full Text: View/download PDF

123. Meta-analysis in more than 17,900 cases of ischemic stroke reveals a novel association at 12q24.12

Author: Kilarski, Laura L., Achterberg, Sefanja, Devan, William J., Traylor, Matthew, Malik, Rainer, Lindgren, Arne, Pare, Guillame, Sharma, Pankaj, Slowik, Agniesczka, Thijs, Vincent, Walters, Matthew, Worrall, Bradford B., Sale, Michele M., Algra, Ale, Kappelle, L. Jaap, Wijmenga, Cisca, Norrving, Bo, Sandling, Johanna K., Rönnblom, Lars, Goris, An, Franke, Andre, Sudlow, Cathie, Rothwell, Peter M., Levi, Christopher, Holliday, Elizabeth G., Fornage, Myriam, Psaty, Bruce, Gretarsdottir, Solveig, Thorsteinsdottir, Unnar, Seshadri, Sudha, Mitchell, Braxton D., Kittner, Steven, Clarke, Robert, Hopewell, Jemma C., Bis, Joshua C., Boncoraglio, Giorgio B., Meschia, James, Ikram, M. Arfan, Hansen, Bjorn M., Montaner, Joan, Thorleifsson, Gudmar, Stefanson, Kari, Rosand, Jonathan, Bakker, Paul I.W. de, Farrall, Martin, Dichgans, Martin, Markus, Hugh S., and Bevan, Steve
Abstract: To perform a genome-wide association study (GWAS) using the Immunochip array in 3,420 cases of ischemic stroke and 6,821 controls, followed by a meta-analysis with data from more than 14,000 additional ischemic stroke cases.
Published: 2014
Full Text: View/download PDF

124. 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
Full Text: View/download PDF

125. Role of Monocyte Chemoattractant Protein-1

Author: Georgakis, Marios K, Gill, Dipender, Sudlow, Cathie L M, Malik, Rainer, Dichgans, Martin, Rannikmäe, Kristiina, Traylor, Matthew, Anderson, Christopher D, Lee, Jin-Moo, Kamatani, Yoichiro, Hopewell, Jemma C, Worrall, Bradford B, and Bernhagen, Jürgen
Subjects: Mendelian Randomization Analysis, genetics [Chemokine CCL2], Polymorphism, Single Nucleotide, Risk Assessment, diagnosis [Stroke], Observational Studies as Topic, Phenotype, blood [Stroke], Risk Factors, Case-Control Studies, blood [Chemokine CCL2], genetics [Stroke], CCL2 protein, human, Humans, Genetic Predisposition to Disease, ddc:610, Chemokine CCL2, Genome-Wide Association Study
Abstract: 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 2-sample Mendelian randomization (MR) study.Genetic instruments for 41 cytokines and growth factors were obtained from a genome-wide association study of 8293 healthy adults. Their associations with stroke and stroke subtypes were evaluated in the MEGASTROKE genome-wide association study data set (67 162 cases; 454 450 controls) applying inverse variance-weighted meta-analysis, weighted-median analysis, Mendelian randomization-Egger regression, and multivariable Mendelian randomization. The UK Biobank cohort was used as an independent validation sample (4985 cases; 364 434 controls). Genetic instruments for monocyte chemoattractant protein-1 (MCP-1/CCL2) were further tested for association with etiologically related vascular traits by using publicly available genome-wide association study data.Genetic predisposition to higher MCP-1 levels was associated with higher risk of any stroke (odds ratio [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 patients with stroke in comparison with controls.Genetic predisposition to elevated circulating levels of MCP-1 is associated with higher risk of stroke, in particular with large-artery stroke and cardioembolic stroke. Whether targeting MCP-1 or its receptors can lower stroke incidence requires further study.
Full Text: View/download PDF

126. Genome-Wide Association Identifies Nine Common Variants Associated With Fasting Proinsulin Levels and Provides New Insights Into the Pathophysiology of Type 2 Diabetes

Author: Strawbridge, Rona J., Dupuis, Josée, Prokopenko, Inga, Barker, Adam, Ahlqvist, Emma, Rybin, Denis, Petrie, John R., Travers, Mary E., Bouatia-Naji, Nabila, Dimas, Antigone S., Nica, Alexandra, Wheeler, Eleanor, Chen, Han, Voight, Benjamin F., Taneera, Jalal, Kanoni, Stavroula, Peden, John F., Turrini, Fabiola, Gustafsson, Stefan, Zabena, Carina, Almgren, Peter, Barker, David J.P., Barnes, Daniel, Dennison, Elaine M., Eriksson, Johan G., Eriksson, Per, Eury, Elodie, Folkersen, Lasse, Fox, Caroline, Frayling, Timothy M., Goel, Anuj, Gu, Harvest F., Horikoshi, Momoko, Isomaa, Bo, Jackson, Anne U., Jameson, Karen A., Kajantie, Eero, Kerr-Conte, Julie, Kuulasmaa, Teemu, Kuusisto, Johanna, Loos, Ruth J.F., Luan, Jian'an, Makrilakis, Konstantinos, Manning, Alisa K, Martínez-Larrad, María Teresa, Narisu, Narisu, Nastase Mannila, Maria, Öhrvik, John, Osmond, Clive, Pascoe, Laura, Payne, Felicity, Sayer, Avan A., Sennblad, Bengt, Silveira, Angela, Stančáková, Alena, Stirrups, Kathy, Swift, Amy J., Syvänen, Ann-Christine, Tuomi, Tiinamaija, van 't Hooft, Ferdinand M., Walker, Mark, Weedon, Michael N., Xie, Weijia, Zethelius, Björn, Ongen, Halit, Mälarstig, Anders, Hopewell, Jemma C., Saleheen, Danish, Chambers, John, Parish, Sarah, Danesh, John, Kooner, Jaspal, Östenson, Claes-Göran, Lind, Lars, Cooper, Cyrus C., Serrano-Ríos, Manuel, Ferrannini, Ele, Forsen, Tom J., Clarke, Robert, Franzosi, Maria Grazia, Seedorf, Udo, Watkins, Hugh, Froguel, Philippe, Johnson, Paul, Deloukas, Panos, Collins, Francis S., Laakso, Markku, Dermitzakis, Emmanouil T., Boehnke, Michael, McCarthy, Mark I., Wareham, Nicholas J., Groop, Leif, Pattou, François, Gloyn, Anna L., Dedoussis, George V., Lyssenko, Valeriya, Meigs, James Benjamin, Barroso, Inês, Watanabe, Richard M., Ingelsson, Erik, Langenberg, Claudia, Hamsten, Anders, and Florez, Jose Carlos
Abstract: OBJECTIVE: Proinsulin is a precursor of mature insulin and C-peptide. Higher circulating proinsulin levels are associated with impaired β-cell function, raised glucose levels, insulin resistance, and type 2 diabetes (T2D). Studies of the insulin processing pathway could provide new insights about T2D pathophysiology. RESEARCH DESIGN AND METHODS: We have conducted a meta-analysis of genome-wide association tests of ∼2.5 million genotyped or imputed single nucleotide polymorphisms (SNPs) and fasting proinsulin levels in 10,701 nondiabetic adults of European ancestry, with follow-up of 23 loci in up to 16,378 individuals, using additive genetic models adjusted for age, sex, fasting insulin, and study-specific covariates. RESULTS: Nine SNPs at eight loci were associated with proinsulin levels (P < 5 × 10−8). Two loci (LARP6 and SGSM2) have not been previously related to metabolic traits, one (MADD) has been associated with fasting glucose, one (PCSK1) has been implicated in obesity, and four (TCF7L2, SLC30A8, VPS13C/C2CD4A/B, and ARAP1, formerly CENTD2) increase T2D risk. The proinsulin-raising allele of ARAP1 was associated with a lower fasting glucose (P = 1.7 × 10−4), improved β-cell function (P = 1.1 × 10−5), and lower risk of T2D (odds ratio 0.88; P = 7.8 × 10−6). Notably, PCSK1 encodes the protein prohormone convertase 1/3, the first enzyme in the insulin processing pathway. A genotype score composed of the nine proinsulin-raising alleles was not associated with coronary disease in two large case-control datasets. CONCLUSIONS: We have identified nine genetic variants associated with fasting proinsulin. Our findings illuminate the biology underlying glucose homeostasis and T2D development in humans and argue against a direct role of proinsulin in coronary artery disease pathogenesis.
Published: 2011
Full Text: View/download PDF

127. Abstract 15391: Genome-Wide Association Study of Over One Million Participants Identifies 49 Novel Loci Associated With Coronary Artery Disease

Author: Aragam, Krishna G, Jiang, Tao, Kanoni, Stavroula, Anuj, Goel, Wolford, Brooke, Surakka, Ida, Grace, Christopher, Thorleifsson, Gudmar, Nelson, Christopher, Roselli, Carolina, Hindy, George, Wang, Wallace, Munoz Venegas, Maria Loreto, Hopewell, Jemma C, Ruff, Christian, Sabatine, Marc S, Watkins, Hugh C, Danesh, John, Ellinor, Patrick T, Holm, Hilma, Clarke, Robert J, Schunkert, Heribert, Farrall, Martin, Erdmann, Jeanette, Stefansson, Kari, Thorsteinsdottir, Unnur, Willer, Cristen, Samani, Nilesh J, Deloukas, Panos, Kathiresan, Sekar, and Butterworth, Adam
Abstract: Genome-wide association studies (GWAS) have identified 164 common genetic loci associated with coronary artery disease (CAD), providing important biological and clinical insights, but the global burden of CAD remains high. Additional genetic discovery may further our understanding of CAD and related conditions and improve approaches to disease management. We performed GWAS and meta-analysis of CAD in 1,165,680 individuals across cohort studies, biobanks, and clinical trials (EPIC-CVD, HUNT, deCODE, GerMIFS, UK Biobank, Partners Biobank, Greek CAD, PEGASUS-TIMI 54, SAVOR-TIMI 53, ENGAGE-TIMI 48), as well as CARDIoGRAMplusC4D. Study-specific GWAS were performed by logistic regression or generalized mixed models. Conditional and joint analyses were used to identify independent genetic signals. We developed a genome-wide polygenic risk score (PRS) and tested it in the Malmo Diet and Cancer Study (MDCS; N= 22,872, N_CAD = 3,307; median follow-up 21 years). Analyses included 181,522 CAD cases and 984,158 controls. We identified 241 independent genetic variants associated with CAD at genome-wide significance (P < 5x10-8); 75 variants were not previously identified, representing 49 novel genomic regions. For the first time, genetic variation at HMG-CoA reductase, the target of statin therapy, reached genome-wide significance (HMGCR; p=1.31x10-8), validating the biological insights gained for CAD from such unbiased scans of the genome. Novel loci included regulators of: an anti-apoptotic protein (MCL1, p=1.0x10-14) and transmembrane tyrosine kinase (FER; p=1.1x10-9) linked to acute myeloid leukemia; fibrillin-2 (FBN2, p=9.7x10-10) and myosin heavy chain 11 (MYH11, p=2.5x10-9) associated with Marfan syndrome and thoracic aortic aneurysm; and an activin receptor (ACVR2A, p=1.5x10-8) involved in preeclampsia. Ingenuity analyses highlighted pathways mediating hepatic fibrosis. A genome-wide PRS predicted incident CAD in MDCS (HR=1.45 per-SD increase in PRS; p=1.1x10-100; C-stat=0.61). We identified 49 novel loci associated with CAD, bringing the total number of CAD-associated loci to 213. Our findings highlight non-traditional CAD risk factors with possible shared pathways, and provide a robust tool for genetic risk prediction.
Published: 2019
Full Text: View/download PDF

128. Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation

Author: Christophersen, Ingrid E, Rienstra, Michiel, Roselli, Carolina, Yin, Xiaoyan, Geelhoed, Bastiaan, Barnard, John, Lin, Honghuang, Arking, Dan E, Smith, Albert V, Albert, Christine M, Chaffin, Mark, Tucker, Nathan R, Li, Molong, Klarin, Derek, Bihlmeyer, Nathan A, Low, Siew-Kee, Weeke, Peter E, Müller-Nurasyid, Martina, Smith, J Gustav, Brody, Jennifer A, Niemeijer, Maartje N, Dörr, Marcus, Trompet, Stella, Huffman, Jennifer, Gustafsson, Stefan, Schurmann, Claudia, Kleber, Marcus E, Lyytikäinen, Leo-Pekka, Seppälä, Ilkka, Malik, Rainer, Horimoto, Andrea R V R, Perez, Marco, Sinisalo, Juha, Aeschbacher, Stefanie, Thériault, Sébastien, Yao, Jie, Radmanesh, Farid, Weiss, Stefan, Teumer, Alexander, Choi, Seung Hoan, Weng, Lu-Chen, Clauss, Sebastian, Deo, Rajat, Rader, Daniel J, Shah, Svati H, Sun, Albert, Hopewell, Jemma C, Debette, Stephanie, Chauhan, Ganesh, Yang, Qiong, Worrall, Bradford B, Paré, Guillaume, Kamatani, Yoichiro, Hagemeijer, Yanick P, Verweij, Niek, Siland, Joylene E, Kubo, Michiaki, Smith, Jonathan D, Van Wagoner, David R, Bis, Joshua C, Perz, Siegfried, Psaty, Bruce M, Ridker, Paul M, Magnani, Jared W, Harris, Tamara B, Launer, Lenore J, Shoemaker, M Benjamin, Padmanabhan, Sandosh, Haessler, Jeffrey, Bartz, Traci M, Waldenberger, Melanie, Lichtner, Peter, Arendt, Marina, Krieger, Jose E, Kähönen, Mika, Risch, Lorenz, Mansur, Alfredo J, Peters, Annette, Smith, Blair H, Lind, Lars, Scott, Stuart A, Lu, Yingchang, Bottinger, Erwin B, Hernesniemi, Jussi, Lindgren, Cecilia M, Wong, Jorge A, Huang, Jie, Eskola, Markku, Morris, Andrew P, Ford, Ian, Reiner, Alex P, Delgado, Graciela, Chen, Lin Y, Chen, Yii-Der Ida, Sandhu, Roopinder K, Li, Man, Boerwinkle, Eric, Eisele, Lewin, Lannfelt, Lars, Rost, Natalia, Anderson, Christopher D, Taylor, Kent D, Campbell, Archie, Magnusson, Patrik K, Porteous, David, Hocking, Lynne J, Vlachopoulou, Efthymia, Pedersen, Nancy L, Nikus, Kjell, Orho-Melander, Marju, Hamsten, Anders, Heeringa, Jan, Denny, Joshua C, Kriebel, Jennifer, Darbar, Dawood, Newton-Cheh, Christopher, Shaffer, Christian, Macfarlane, Peter W, Heilmann-Heimbach, Stefanie, Almgren, Peter, Huang, Paul L, Sotoodehnia, Nona, Soliman, Elsayed Z, Uitterlinden, Andre G, Hofman, Albert, Franco, Oscar H, Völker, Uwe, Jöckel, Karl-Heinz, Sinner, Moritz F, Lin, Henry J, Guo, Xiuqing, Dichgans, Martin, Ingelsson, Erik, Kooperberg, Charles, Melander, Olle, Loos, Ruth J F, Laurikka, Jari, Conen, David, Rosand, Jonathan, Van Der Harst, Pim, Lokki, Marja-Liisa, Kathiresan, Sekar, Pereira, Alexandre, Jukema, J Wouter, Hayward, Caroline, Rotter, Jerome I, März, Winfried, Lehtimäki, Terho, Stricker, Bruno H, Chung, Mina K, Felix, Stephan B, Gudnason, Vilmundur, Alonso, Alvaro, Roden, Dan M, Kääb, Stefan, Chasman, Daniel I, Heckbert, Susan R, Benjamin, Emelia J, Tanaka, Toshihiro, Lunetta, Kathryn L, Lubitz, Steven A, and Ellinor, Patrick T
Subjects: 610 Medicine & health, 3. Good health
Abstract: Atrial fibrillation affects more than 33 million people worldwide and increases the risk of stroke, heart failure, and death. Fourteen genetic loci have been associated with atrial fibrillation in European and Asian ancestry groups. To further define the genetic basis of atrial fibrillation, we performed large-scale, trans-ancestry meta-analyses of common and rare variant association studies. The genome-wide association studies (GWAS) included 17,931 individuals with atrial fibrillation and 115,142 referents; the exome-wide association studies (ExWAS) and rare variant association studies (RVAS) involved 22,346 cases and 132,086 referents. We identified 12 new genetic loci that exceeded genome-wide significance, implicating genes involved in cardiac electrical and structural remodeling. Our results nearly double the number of known genetic loci for atrial fibrillation, provide insights into the molecular basis of atrial fibrillation, and may facilitate the identification of new potential targets for drug discovery.

129. Meta-analysis in more than 17,900 cases of ischemic stroke reveals a novel association at 12q24.12

Author: Kilarski, Laura L., Achterberg, Sefanja, Devan, William J., Traylor, Matthew, Malik, Rainer, Lindgren, Arne, Pare, Guillame, Sharma, Pankaj, Slowik, Agniesczka, Thijs, Vincent, Walters, Matthew, Worrall, Bradford B., Sale, Michele M., Algra, Ale, Kappelle, L. Jaap, Wijmenga, Cisca, Norrving, Bo, Sandling, Johanna K., Roennblom, Lars, An Goris, Franke, Andre, Sudlow, Cathie, Rothwell, Peter M., Levi, Christopher, Holliday, Elizabeth G., Fornage, Myriam, Psaty, Bruce, Gretarsdottir, Solveig, Thorsteinsdottir, Unnar, Seshadri, Sudha, Mitchell, Braxton D., Kittner, Steven, Clarke, Robert, Hopewell, Jemma C., Bis, Joshua C., Boncoraglio, Giorgio B., Meschia, James, Ikram, M. Arfan, Hansen, Bjorn M., Montaner, Joan, Thorleifsson, Gudmar, Stefanson, Kari, Rosand, Jonathan, Bakker, Paul I. W., Farrall, Martin, Dichgans, Martin, Markus, Hugh S., Bevan, Steve, Garnet Collaborative Res Grp, Wellcome Trust Case, Australian Stroke, Metastroke Consortium, and Int Stroke Genetics Consortium

130. 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, Giral, Philippe, Anugu, Pramod, Wong, Quenna, Malik, Rainer, Rauramaa, Rainer, Burkhardt, Ralph, Hardy, Rebecca, Schmidt, Reinhold, De Mutsert, Renée, Morris, Richard W, Strawbridge, Rona J, Wannamethee, S Goya, Hägg, Sara, Shah, Sonia, McLachlan, Stela, Trompet, Stella, Seshadri, Sudha, Kurl, Sudhir, Heckbert, Susan R, Ring, Susan, Harris, Tamara B, Lehtimäki, Terho, Galesloot, Tessel E, Shah, Tina, De Faire, Ulf, Plagnol, Vincent, Rosamond, Wayne D, Post, Wendy, Zhu, Xiaofeng, Zhang, Xiaoling, Guo, Xiuqing, Saba, Yasaman, MEGASTROKE Consortium, Dehghan, Abbas, Seldenrijk, Adrie, Morrison, Alanna C, Hamsten, Anders, Psaty, Bruce M, Van Duijn, Cornelia M, Lawlor, Deborah A, Mook-Kanamori, Dennis O, Bowden, Donald W, Schmidt, Helena, Wilson, James F, Wilson, James G, Rotter, Jerome I, Wardlaw, Joanna M, Deanfield, John, Halcox, Julian, Lyytikäinen, Leo-Pekka, Loeffler, Markus, Evans, Michele K, Debette, Stéphanie, Humphries, Steve E, Völker, Uwe, Gudnason, Vilmundur, Hingorani, Aroon D, Björkegren, Johan LM, Casas, Juan P, and O'Donnell, Christopher J
Subjects: Quantitative Trait Loci, ADAMTS9 Protein, Coronary Disease, Carotid Intima-Media Thickness, Polymorphism, Single Nucleotide, Plaque, Atherosclerotic, 3. Good health, Protein-Lysine 6-Oxidase, Risk Factors, cardiovascular system, Humans, Genetic Predisposition to Disease, cardiovascular diseases, Amino Acid Oxidoreductases, Lod Score, Genome-Wide Association Study
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.

131. 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 A L M, 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, Giral, Philippe, Anugu, Pramod, Wong, Quenna, Malik, Rainer, Rauramaa, Rainer, Burkhardt, Ralph, Hardy, Rebecca, Schmidt, Reinhold, De Mutsert, Renée, Morris, Richard W, Strawbridge, Rona J, Wannamethee, S Goya, Hägg, Sara, Shah, Sonia, McLachlan, Stela, Trompet, Stella, Seshadri, Sudha, Kurl, Sudhir, Heckbert, Susan R, Ring, Susan, Harris, Tamara B, Lehtimäki, Terho, Galesloot, Tessel E, Shah, Tina, De Faire, Ulf, Plagnol, Vincent, Rosamond, Wayne D, Post, Wendy, Zhu, Xiaofeng, Zhang, Xiaoling, Guo, Xiuqing, Saba, Yasaman, Dehghan, Abbas, Seldenrijk, Adrie, Morrison, Alanna C, Hamsten, Anders, Psaty, Bruce M, Van Duijn, Cornelia M, Lawlor, Deborah A, Mook-Kanamori, Dennis O, Bowden, Donald W, Schmidt, Helena, Wilson, James F, Wilson, James G, Rotter, Jerome I, Wardlaw, Joanna M, Deanfield, John, Halcox, Julian, Lyytikäinen, Leo-Pekka, Loeffler, Markus, Evans, Michele K, Debette, Stéphanie, Humphries, Steve E, Völker, Uwe, Gudnason, Vilmundur, Hingorani, Aroon D, Björkegren, Johan L M, Casas, Juan P, and O'Donnell, Christopher J
Subjects: cardiovascular system, cardiovascular diseases, 610 Medicine & health, 360 Social problems & social services, 3. Good health
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.

132. 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 Mc, Rubiera, Marta, Sharma, Mike, Touyz, Rhian M, and Widimsky, Petr
Subjects: cardiovascular risk factors, Consensus, Delivery of Health Care, Integrated, Cardiology, Prognosis, Risk Assessment, 3. Good health, Stroke, prevention, Neurology, Cardiovascular Diseases, Risk Factors, Humans, Interdisciplinary Communication, cardiovascular diseases, Comprehensive Health Care, Cooperative Behavior
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.

133. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

Author: Schmidt, Amand F., Holmes, Michael V., Preiss, David, Swerdlow, Daniel I., Denaxas, Spiros, Fatemifar, Ghazaleh, Faraway, Rupert, Finan, Chris, Valentine, Dennis, Fairhurst-Hunter, Zammy, Hartwig, Fernando Pires, Horta, Bernardo Lessa, Hypponen, Elina, Power, Christine, Moldovan, Max, Van Iperen, Erik, Hovingh, Kees, Demuth, Ilja, Norman, Kristina, Steinhagen-Thiessen, Elisabeth, Demuth, Juri, Bertram, Lars, Lill, Christina M., Coassin, Stefan, Willeit, Johann, Kiechl, Stefan, Willeit, Karin, Mason, Dan, Wright, John, Morris, Richard, Wanamethee, Goya, Whincup, Peter, Ben-Shlomo, Yoav, McLachlan, Stela, Price, Jackie F., Kivimaki, Mika, Welch, Catherine, Sanchez-Galvez, Adelaida, Marques-Vidal, Pedro, Nicolaides, Andrew, Panayiotou, Andrie G., Onland-Moret, N. Charlotte, Van Der Schouw, Yvonne T., Matullo, Giuseppe, Fiorito, Giovanni, Guarrera, Simonetta, Sacerdote, Carlotta, Wareham, Nicholas J., Langenberg, Claudia, Scott, Robert A., Luan, Jian’an, Bobak, Martin, Malyutina, Sofia, Pająk, Andrzej, Kubinova, Ruzena, Tamosiunas, Abdonas, Pikhart, Hynek, Grarup, Niels, Pedersen, Oluf, Hansen, Torben, Linneberg, Allan, Jess, Tine, Cooper, Jackie, Humphries, Steve E., Brilliant, Murray, Kitchner, Terrie, Hakonarson, Hakon, Carrell, David S., McCarty, Catherine A., Lester, Kirchner H., Larson, Eric B., Crosslin, David R., De Andrade, Mariza, Roden, Dan M., Denny, Joshua C., Carty, Cara, Hancock, Stephen, Attia, John, Holliday, Elizabeth, Scott, Rodney, Schofield, Peter, O’Donnell, Martin, Yusuf, Salim, Chong, Michael, Pare, Guillaume, Van Der Harst, Pim, Said, M. Abdullah, Eppinga, Ruben N., Verweij, Niek, Snieder, Harold, Christen, Tim, Mook-Kanamori, D. O., Gustafsson, Stefan, Lind, Lars, Ingelsson, Erik, Pazoki, Raha, Franco, Oscar, Hofman, Albert, Uitterlinden, Andre, Dehghan, Abbas, Teumer, Alexander, Baumeister, Sebastian, Dörr, Marcus, Lerch, Markus M., Völker, Uwe, Völzke, Henry, Ward, Joey, Pell, Jill P., Meade, Tom, Christophersen, Ingrid E., Maitland-Van Der Zee, Anke H., Baranova, Ekaterina V., Young, Robin, Ford, Ian, Campbell, Archie, Padmanabhan, Sandosh, Bots, Michiel L., Grobbee, Diederick E., Froguel, Philippe, Thuillier, Dorothée, Roussel, Ronan, Bonnefond, Amélie, Cariou, Bertrand, Smart, Melissa, Bao, Yanchun, Kumari, Meena, Mahajan, Anubha, Hopewell, Jemma C., Seshadri, Sudha, Dale, Caroline, Costa, Rui Providencia E., Ridker, Paul M., Chasman, Daniel I., Reiner, Alex P., Ritchie, Marylyn D., Lange, Leslie A., Cornish, Alex J., Dobbins, Sara E., Hemminki, Kari, Kinnersley, Ben, Sanson, Marc, Labreche, Karim, Simon, Matthias, Bondy, Melissa, Law, Philip, Speedy, Helen, Allan, James, Li, Ni, Went, Molly, Weinhold, Niels, Morgan, Gareth, Sonneveld, Pieter, Nilsson, Björn, Goldschmidt, Hartmut, Sud, Amit, Engert, Andreas, Hansson, Markus, Hemingway, Harry, Asselbergs, Folkert W., Patel, Riyaz S., Keating, Brendan J., Sattar, Naveed, Houlston, Richard, Casas, Juan P., and Hingorani, Aroon D.
Subjects: Genetic association studies, LDL-cholesterol, Phenome-wide association scan, Mendelian randomisation, Coronary artery disease, 3. Good health, Research Article
Abstract: Background: We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. Methods: Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. Results: The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer’s disease – outcomes for which large-scale trial data were unavailable. Conclusions: Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.

134. Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation (vol 49, pg 946, 2017)

Author: Christophersen, Ingrid E., Rienstra, Michiel, Roselli, Carolina, Yin, Xiaoyan, Geelhoed, Bastiaan, Barnard, John, Lin, Honghuang, Arking, Dan E., Smith, Albert V., Albert, Christine M., Chaffin, Mark, Tucker, Nathan R., Li, Molong, Klarin, Derek, Bihlmeyer, Nathan A., Low, Siew-Kee, Weeke, Peter E., Muller-Nurasyid, Martina, Smith, J. Gustav, Brody, Jennifer A., Niemeijer, Maartje N., Dorr, Marcus, Trompet, Stella, Huffman, Jennifer, Gustafsson, Stefan, Schurmann, Claudia, Kleber, Marcus E., Lyytikainen, Leo-Pekka, Seppala, Ilkka, Malik, Rainer, Horimoto, Andrea R. V. R., Perez, Marco, Sinisalo, Juha, Aeschbacher, Stefanie, Theriault, Sebastien, Yao, Jie, Radmanesh, Farid, Weiss, Stefan, Teumer, Alexander, Choi, Seung Hoan, Weng, Lu-Chen, Clauss, Sebastian, Deo, Rajat, Rader, Daniel J., Shah, Svati H., Sun, Albert, Hopewell, Jemma C., Debette, Stephanie, Chauhan, Ganesh, Yang, Qiong, Worrall, Bradford B., Pare, Guillaume, Kamatani, Yoichiro, Hagemeijer, Yanick P., Verweij, Niek, Siland, Joylene E., Kubo, Michiaki, Smith, Jonathan D., Wagoner, David R., Bis, Joshua C., Perz, Siegfried, Psaty, Bruce M., Ridker, Paul M., Magnani, Jared W., Harris, Tamara B., Launer, Lenore J., Shoemaker, M. Benjamin, Padmanabhan, Sandosh, Haessler, Jeffrey, Bartz, Traci M., Waldenberger, Melanie, Lichtner, Peter, Arendt, Marina, Krieger, Jose E., Kahonen, Mika, Risch, Lorenz, Mansur, Alfredo J., Peters, Annette, Smith, Blair H., Lind, Lars, Scott, Stuart A., Lu, Yingchang, Bottinger, Erwin B., Hernesniemi, Jussi, Lindgren, Cecilia M., Wong, Jorge A., Huang, Jie, Eskola, Markku, Morris, Andrew P., Ford, Ian, Reiner, Alex P., Delgado, Graciela, Chen, Lin Y., Chen, Yii-Der Ida, Sandhu, Roopinder K., Li, Man, Boerwinkle, Eric, Eisele, Lewin, Lannfelt, Lars, Rost, Natalia, Anderson, Christopher D., Taylor, Kent D., Campbell, Archie, Magnusson, Patrik K., Porteous, David, Hocking, Lynne J., Vlachopoulou, Efthymia, Pedersen, Nancy L., Nikus, Kjell, Orho-Melander, Marju, Hamsten, Anders, Heeringa, Jan, Denny, Joshua C., Kriebel, Jennifer, Darbar, Dawood, Newton-Cheh, Christopher, Shaffer, Christian, Macfarlane, Peter W., Stefanie Heilmann-Heimbach, Almgren, Peter, Huang, Paul L., Sotoodehnia, Nona, Soliman, Elsayed Z., Uitterlinden, Andre G., Hofman, Albert, Franco, Oscar H., Volker, Uwe, Jockel, Karl-Heinz, Sinner, Moritz F., Lin, Henry J., Guo, Xiuqing, Dichgans, Martin, Ingelsson, Erik, Kooperberg, Charles, Melander, Olle, Loos, Ruth J. F., Laurikka, Jari, Conen, David, Rosand, Jonathan, Harst, Pim, Lokki, Marja-Liisa, Kathiresan, Sekar, Pereira, Alexandre, Jukema, J. Wouter, Hayward, Caroline, Rotter, Jerome I., Marz, Winfried, Lehtimaki, Terho, Stricker, Bruno H., Chung, Mina K., Felix, Stephan B., Gudnason, Vilmundur, Alonso, Alvaro, Roden, Dan M., Kaab, Stefan, Chasman, Daniel I., Heckbert, Susan R., Benjamin, Emelia J., Tanaka, Toshihiro, Lunetta, Kathryn L., Lubitz, Steven A., Ellinor, Patrick T., Metastroke Isgc, Consortium, Charge, Neurology Working Group Con, and AFGen Consortium

135. 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 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, Chasman, Daniel I, 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, 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 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, 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 LM, 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, WT, 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
Subjects: Male, Models, Genetic, Computational Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, 3. Good health, Epigenesis, Genetic, Stroke, INDEL Mutation, Genetic Loci, Risk Factors, Databases, Genetic, Humans, Female, Gene Regulatory Networks, Genetic Predisposition to Disease, Genome-Wide Association Study
Abstract: Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke subtypes. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy.

136. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Author: International Consortium For Blood Pressure Genome-Wide Association Studies, Ehret, Georg B, Munroe, Patricia B, Rice, Kenneth M, Bochud, Murielle, Johnson, Andrew D, Chasman, Daniel I, Smith, Albert V, Tobin, Martin D, Verwoert, Germaine C, Hwang, Shih-Jen, Pihur, Vasyl, Vollenweider, Peter, O'Reilly, Paul F, Amin, Najaf, Bragg-Gresham, Jennifer L, Teumer, Alexander, Glazer, Nicole L, Launer, Lenore, Zhao, Jing Hua, Aulchenko, Yurii, Heath, Simon, Sõber, Siim, Parsa, Afshin, Luan, Jian'an, Arora, Pankaj, Dehghan, Abbas, Zhang, Feng, Lucas, Gavin, Hicks, Andrew A, Jackson, Anne U, Peden, John F, Tanaka, Toshiko, Wild, Sarah H, Rudan, Igor, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N, Fava, Cristiano, Chambers, John C, Fox, Ervin R, Kumari, Meena, Go, Min Jin, Van Der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, DG, Alexander, Myriam, Tabara, Yasuharu, Shaw-Hawkins, Sue, Whincup, Peter H, Liu, Yongmei, Shi, Gang, Kuusisto, Johanna, Tayo, Bamidele, Seielstad, Mark, Sim, Xueling, Nguyen, Khanh-Dung Hoang, Lehtimäki, Terho, Matullo, Giuseppe, Wu, Ying, Gaunt, Tom R, Onland-Moret, N Charlotte, Cooper, Matthew N, Platou, Carl GP, Org, Elin, Hardy, Rebecca, Dahgam, Santosh, Palmen, Jutta, Vitart, Veronique, Braund, Peter S, Kuznetsova, Tatiana, Uiterwaal, Cuno SPM, Adeyemo, Adebowale, Palmas, Walter, Campbell, Harry, Ludwig, Barbara, Tomaszewski, Maciej, Tzoulaki, Ioanna, Palmer, Nicholette D, CARDIoGRAM Consortium, CKDGen Consortium, KidneyGen Consortium, EchoGen Consortium, CHARGE-HF Consortium, Aspelund, Thor, Garcia, Melissa, Chang, Yen-Pei C, O'Connell, Jeffrey R, Steinle, Nanette I, Grobbee, Diederick E, Arking, Dan E, Kardia, Sharon L, Morrison, Alanna C, Hernandez, Dena, Najjar, Samer, McArdle, Wendy L, Hadley, David, Brown, Morris J, Connell, John M, Hingorani, Aroon D, Day, Ian NM, Lawlor, Debbie A, Beilby, John P, Lawrence, Robert W, Clarke, Robert, Hopewell, Jemma C, Ongen, Halit, Dreisbach, Albert W, Li, Yali, Young, J Hunter, Bis, Joshua C, Kähönen, Mika, Viikari, Jorma, Adair, Linda S, Lee, Nanette R, Chen, Ming-Huei, Olden, Matthias, Pattaro, Cristian, Bolton, Judith A Hoffman, Köttgen, Anna, Bergmann, Sven, Mooser, Vincent, Chaturvedi, Nish, Frayling, Timothy M, Islam, Muhammad, Jafar, Tazeen H, Erdmann, Jeanette, Kulkarni, Smita R, Bornstein, Stefan R, Grässler, Jürgen, Groop, Leif, Voight, Benjamin F, Kettunen, Johannes, Howard, Philip, Taylor, Andrew, Guarrera, Simonetta, Ricceri, Fulvio, Emilsson, Valur, Plump, Andrew, Barroso, Inês, Khaw, Kay-Tee, Weder, Alan B, Hunt, Steven C, Sun, Yan V, Bergman, Richard N, Collins, Francis S, Bonnycastle, Lori L, Scott, Laura J, Stringham, Heather M, Peltonen, Leena, Perola, Markus, Vartiainen, Erkki, Brand, Stefan-Martin, Staessen, Jan A, Wang, Thomas J, Burton, Paul R, Soler Artigas, Maria, Dong, Yanbin, Snieder, Harold, Wang, Xiaoling, Zhu, Haidong, Lohman, Kurt K, Rudock, Megan E, Heckbert, Susan R, Smith, Nicholas L, Wiggins, Kerri L, Doumatey, Ayo, Shriner, Daniel, Veldre, Gudrun, Viigimaa, Margus, Kinra, Sanjay, Prabhakaran, Dorairaj, Tripathy, Vikal, Langefeld, Carl D, Rosengren, Annika, Thelle, Dag S, Corsi, Anna Maria, Singleton, Andrew, Forrester, Terrence, Hilton, Gina, McKenzie, Colin A, Salako, Tunde, Iwai, Naoharu, Kita, Yoshikuni, Ogihara, Toshio, Ohkubo, Takayoshi, Okamura, Tomonori, Ueshima, Hirotsugu, Umemura, Satoshi, Eyheramendy, Susana, Meitinger, Thomas, Wichmann, H-Erich, Cho, Yoon Shin, Kim, Hyung-Lae, Lee, Jong-Young, Scott, James, Sehmi, Joban S, Zhang, Weihua, Hedblad, Bo, Nilsson, Peter, Smith, George Davey, Wong, Andrew, Narisu, Narisu, Stančáková, Alena, Raffel, Leslie J, Yao, Jie, Kathiresan, Sekar, O'Donnell, Christopher J, Schwartz, Stephen M, Ikram, M Arfan, Longstreth, WT, Mosley, Thomas H, Seshadri, Sudha, Shrine, Nick RG, Wain, Louise V, Morken, Mario A, Swift, Amy J, Laitinen, Jaana, Prokopenko, Inga, Zitting, Paavo, Cooper, Jackie A, Humphries, Steve E, Danesh, John, Rasheed, Asif, Goel, Anuj, Hamsten, Anders, Watkins, Hugh, Bakker, Stephan JL, Van Gilst, Wiek H, Janipalli, Charles S, Mani, K Radha, Yajnik, Chittaranjan S, Hofman, Albert, Mattace-Raso, Francesco US, Oostra, Ben A, Demirkan, Ayse, Isaacs, Aaron, Rivadeneira, Fernando, Lakatta, Edward G, Orru, Marco, Scuteri, Angelo, Ala-Korpela, Mika, Kangas, Antti J, Lyytikäinen, Leo-Pekka, Soininen, Pasi, Tukiainen, Taru, Würtz, Peter, Ong, Rick Twee-Hee, Dörr, Marcus, Kroemer, Heyo K, Völker, Uwe, Völzke, Henry, Galan, Pilar, Hercberg, Serge, Lathrop, Mark, Zelenika, Diana, Deloukas, Panos, Mangino, Massimo, Spector, Tim D, Zhai, Guangju, Meschia, James F, Nalls, Michael A, Sharma, Pankaj, Terzic, Janos, Kumar, MV Kranthi, Denniff, Matthew, Zukowska-Szczechowska, Ewa, Wagenknecht, Lynne E, Fowkes, F Gerald R, Charchar, Fadi J, Schwarz, Peter EH, Hayward, Caroline, Guo, Xiuqing, Rotimi, Charles, Bots, Michiel L, Brand, Eva, Samani, Nilesh J, Polasek, Ozren, Talmud, Philippa J, Nyberg, Fredrik, Kuh, Diana, Laan, Maris, Hveem, Kristian, Palmer, Lyle J, Van Der Schouw, Yvonne T, Casas, Juan P, Mohlke, Karen L, Vineis, Paolo, Raitakari, Olli, Ganesh, Santhi K, Wong, Tien Y, Tai, E Shyong, Cooper, Richard S, Laakso, Markku, Rao, Dabeeru C, Harris, Tamara B, Morris, Richard W, Dominiczak, Anna F, Kivimaki, Mika, Marmot, Michael G, Miki, Tetsuro, Saleheen, Danish, Chandak, Giriraj R, Coresh, Josef, Navis, Gerjan, Salomaa, Veikko, Han, Bok-Ghee, Zhu, Xiaofeng, Kooner, Jaspal S, Melander, Olle, Ridker, Paul M, Bandinelli, Stefania, Gyllensten, Ulf B, Wright, Alan F, Wilson, James F, Ferrucci, Luigi, Farrall, Martin, Tuomilehto, Jaakko, Pramstaller, Peter P, Elosua, Roberto, Soranzo, Nicole, Sijbrands, Eric JG, Altshuler, David, Loos, Ruth JF, Shuldiner, Alan R, Gieger, Christian, Meneton, Pierre, Uitterlinden, Andre G, Wareham, Nicholas J, Gudnason, Vilmundur, Rotter, Jerome I, Rettig, Rainer, Uda, Manuela, Strachan, David P, Witteman, Jacqueline CM, Hartikainen, Anna-Liisa, Beckmann, Jacques S, Boerwinkle, Eric, Vasan, Ramachandran S, Boehnke, Michael, Larson, Martin G, Järvelin, Marjo-Riitta, Psaty, Bruce M, Abecasis, Gonçalo R, Chakravarti, Aravinda, Elliott, Paul, Van Duijn, Cornelia M, Newton-Cheh, Christopher, Levy, Daniel, Caulfield, Mark J, and Johnson, Toby
Subjects: Asia, Blood Pressure, Coronary Artery Disease, Polymorphism, Single Nucleotide, 3. Good health, Europe, Stroke, Cardiovascular Diseases, Africa, Hypertension, Humans, Genetic Predisposition to Disease, Kidney Diseases, Genome-Wide Association Study
Abstract: Blood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (≥140 mm Hg systolic blood pressure or ≥90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention.

137. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

Author: Schmidt, Amand F, Holmes, Michael V, Preiss, David, Swerdlow, Daniel I, Denaxas, Spiros, Fatemifar, Ghazaleh, Faraway, Rupert, Finan, Chris, Valentine, Dennis, Fairhurst-Hunter, Zammy, Hartwig, Fernando Pires, Horta, Bernardo Lessa, Hypponen, Elina, Power, Christine, Moldovan, Max, Van Iperen, Erik, Hovingh, Kees, Demuth, Ilja, Norman, Kristina, Steinhagen-Thiessen, Elisabeth, Demuth, Juri, Bertram, Lars, Lill, Christina M, Coassin, Stefan, Willeit, Johann, Kiechl, Stefan, Willeit, Karin Christine, Mason, Dan, Wright, John, Morris, Richard, Wanamethee, Goya, Whincup, Peter, Ben-Shlomo, Yoav, McLachlan, Stela, Price, Jackie F, Kivimaki, Mika, Welch, Catherine, Sanchez-Galvez, Adelaida, Marques-Vidal, Pedro, Nicolaides, Andrew, Panayiotou, Andrie G, Onland-Moret, N Charlotte, Van Der Schouw, Yvonne T, Matullo, Giuseppe, Fiorito, Giovanni, Guarrera, Simonetta, Sacerdote, Carlotta, Wareham, Nicholas J, Langenberg, Claudia, Scott, Robert A, Luan, Jian'an, Bobak, Martin, Malyutina, Sofia, Pająk, Andrzej, Kubinova, Ruzena, Tamosiunas, Abdonas, Pikhart, Hynek, Grarup, Niels, Pedersen, Oluf, Hansen, Torben, Linneberg, Allan, Jess, Tine, Cooper, Jackie, Humphries, Steve E, Brilliant, Murray, Kitchner, Terrie, Hakonarson, Hakon, Carrell, David S, McCarty, Catherine A, Lester, Kirchner H, Larson, Eric B, Crosslin, David R, De Andrade, Mariza, Roden, Dan M, Denny, Joshua C, Carty, Cara, Hancock, Stephen, Attia, John, Holliday, Elizabeth, Scott, Rodney, Schofield, Peter, O'Donnell, Martin, Yusuf, Salim, Chong, Michael, Pare, Guillaume, Van Der Harst, Pim, Said, M Abdullah, Eppinga, Ruben N, Verweij, Niek, Snieder, Harold, Christen, Tim, Mook-Kanamori, D O, Gustafsson, Stefan, Lind, Lars, Ingelsson, Erik, Pazoki, Raha, Franco, Oscar, Hofman, Albert, Uitterlinden, Andre, Dehghan, Abbas, Teumer, Alexander, Baumeister, Sebastian, Dörr, Marcus, Lerch, Markus M, Völker, Uwe, Völzke, Henry, Ward, Joey, Pell, Jill P, Meade, Tom, Christophersen, Ingrid E, Maitland-Van Der Zee, Anke H, Baranova, Ekaterina V, Young, Robin, Ford, Ian, Campbell, Archie, Padmanabhan, Sandosh, Bots, Michiel L, Grobbee, Diederick E, Froguel, Philippe, Thuillier, Dorothée, Roussel, Ronan, Bonnefond, Amélie, Cariou, Bertrand, Smart, Melissa, Bao, Yanchun, Kumari, Meena, Mahajan, Anubha, Hopewell, Jemma C, Seshadri, Sudha, Dale, Caroline, Costa, Rui Providencia E, Ridker, Paul M, Chasman, Daniel I, Reiner, Alex P, Ritchie, Marylyn D, Lange, Leslie A, Cornish, Alex J, Dobbins, Sara E, Hemminki, Kari, Kinnersley, Ben, Sanson, Marc, Labreche, Karim, Simon, Matthias, Bondy, Melissa, Law, Philip, Speedy, Helen, Allan, James, Li, Ni, Went, Molly, Weinhold, Niels, Morgan, Gareth, Sonneveld, Pieter, Nilsson, Björn, Goldschmidt, Hartmut, Sud, Amit, Engert, Andreas, Hansson, Markus, Hemingway, Harry, Asselbergs, Folkert W, Patel, Riyaz S, Keating, Brendan J, Sattar, Naveed, Houlston, Richard, Casas, Juan P, and Hingorani, Aroon D
Subjects: 610 Medicine & health, 3. Good health
Abstract: BACKGROUND We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. METHODS Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. RESULTS The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer's disease - outcomes for which large-scale trial data were unavailable. CONCLUSIONS Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.

138. 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, Hernández, Maria Del C Valdés, Luciano, Michelle, Liewald, David, Deary, Ian J, Starr, John M, Bastin, Mark E, Muñoz Maniega, Susana, 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, Jimenez-Conde, Jordi, Sharma, Pankaj, Sudlow, Cathie LM, Rosand, Jonathan, Woo, Daniel, Cole, John W, Meschia, James F, Slowik, Agnieszka, Thijs, Vincent, Lindgren, Arne, Melander, Olle, Grewal, Raji P, Rundek, Tatjana, Rexrode, Kathy, Rothwell, Peter M, Arnett, Donna K, Jern, Christina, Johnson, Julie A, Benavente, Oscar R, Wasssertheil-Smoller, Sylvia, Lee, Jin-Moo, Wong, Quenna, Mitchell, Braxton D, Rich, Stephen S, McArdle, Patrick F, Geerlings, Mirjam I, Van Der Graaf, Yolanda, De Bakker, Paul IW, Asselbergs, Folkert W, Srikanth, Velandai, Thomson, Russell, McWhirter, Rebekah, Moran, Chris, Callisaya, Michele, Phan, Thanh, Rutten-Jacobs, Loes CA, Bevan, Steve, Tzourio, Christophe, Mather, Karen A, Sachdev, Perminder S, Van Duijn, Cornelia M, Worrall, Bradford B, Dichgans, Martin, Kittner, Steven J, Markus, Hugh S, Ikram, Mohammad A, Fornage, Myriam, Launer, Lenore J, Seshadri, Sudha, Longstreth, WT, Debette, Stéphanie, and 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
Subjects: 2. Zero hunger, 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, 3. Good health
Abstract: OBJECTIVE: To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. METHODS: We 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. RESULTS: The 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. CONCLUSION: In 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.

139. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

Author: Schmidt, Amand F, Holmes, Michael V, Preiss, David, Swerdlow, Daniel I, Denaxas, Spiros, Fatemifar, Ghazaleh, Faraway, Rupert, Finan, Chris, Valentine, Dennis, Fairhurst-Hunter, Zammy, Hartwig, Fernando Pires, Horta, Bernardo Lessa, Hypponen, Elina, Power, Christine, Moldovan, Max, Van Iperen, Erik, Hovingh, Kees, Demuth, Ilja, Norman, Kristina, Steinhagen-Thiessen, Elisabeth, Demuth, Juri, Bertram, Lars, Lill, Christina M, Coassin, Stefan, Willeit, Johann, Kiechl, Stefan, Willeit, Karin, Mason, Dan, Wright, John, Morris, Richard, Wanamethee, Goya, Whincup, Peter, Ben-Shlomo, Yoav, McLachlan, Stela, Price, Jackie F, Kivimaki, Mika, Welch, Catherine, Sanchez-Galvez, Adelaida, Marques-Vidal, Pedro, Nicolaides, Andrew, Panayiotou, Andrie G, Onland-Moret, N Charlotte, Van Der Schouw, Yvonne T, Matullo, Giuseppe, Fiorito, Giovanni, Guarrera, Simonetta, Sacerdote, Carlotta, Wareham, Nicholas J, Langenberg, Claudia, Scott, Robert A, Luan, Jian'an, Bobak, Martin, Malyutina, Sofia, Pająk, Andrzej, Kubinova, Ruzena, Tamosiunas, Abdonas, Pikhart, Hynek, Grarup, Niels, Pedersen, Oluf, Hansen, Torben, Linneberg, Allan, Jess, Tine, Cooper, Jackie, Humphries, Steve E, Brilliant, Murray, Kitchner, Terrie, Hakonarson, Hakon, Carrell, David S, McCarty, Catherine A, Lester, Kirchner H, Larson, Eric B, Crosslin, David R, De Andrade, Mariza, Roden, Dan M, Denny, Joshua C, Carty, Cara, Hancock, Stephen, Attia, John, Holliday, Elizabeth, Scott, Rodney, Schofield, Peter, O'Donnell, Martin, Yusuf, Salim, Chong, Michael, Pare, Guillaume, Van Der Harst, Pim, Said, M Abdullah, Eppinga, Ruben N, Verweij, Niek, Snieder, Harold, Lifelines Cohort Authors, Christen, Tim, Mook-Kanamori, DO, ICBP Consortium, Gustafsson, Stefan, Lind, Lars, Ingelsson, Erik, Pazoki, Raha, Franco, Oscar, Hofman, Albert, Uitterlinden, Andre, Dehghan, Abbas, Teumer, Alexander, Baumeister, Sebastian, Dörr, Marcus, Lerch, Markus M, Völker, Uwe, Völzke, Henry, Ward, Joey, Pell, Jill P, Meade, Tom, Christophersen, Ingrid E, Maitland-Van Der Zee, Anke H, Baranova, Ekaterina V, Young, Robin, Ford, Ian, Campbell, Archie, Padmanabhan, Sandosh, Bots, Michiel L, Grobbee, Diederick E, Froguel, Philippe, Thuillier, Dorothée, Roussel, Ronan, Bonnefond, Amélie, Cariou, Bertrand, Smart, Melissa, Bao, Yanchun, Kumari, Meena, Mahajan, Anubha, Hopewell, Jemma C, Seshadri, Sudha, METASTROKE Consortium Of The ISGC, Dale, Caroline, Costa, Rui Providencia E, Ridker, Paul M, Chasman, Daniel I, Reiner, Alex P, Ritchie, Marylyn D, Lange, Leslie A, Cornish, Alex J, Dobbins, Sara E, Hemminki, Kari, Kinnersley, Ben, Sanson, Marc, Labreche, Karim, Simon, Matthias, Bondy, Melissa, Law, Philip, Speedy, Helen, Allan, James, Li, Ni, Went, Molly, Weinhold, Niels, Morgan, Gareth, Sonneveld, Pieter, Nilsson, Björn, Goldschmidt, Hartmut, Sud, Amit, Engert, Andreas, Hansson, Markus, Hemingway, Harry, Asselbergs, Folkert W, Patel, Riyaz S, Keating, Brendan J, Sattar, Naveed, Houlston, Richard, Casas, Juan P, and Hingorani, Aroon D
Subjects: Genetic association studies, Serine Proteinase Inhibitors, Anticholesteremic Agents, PCSK9 Inhibitors, Myocardial Infarction, Down-Regulation, Cholesterol, LDL, Polymorphism, Single Nucleotide, Risk Assessment, 3. Good health, Brain Ischemia, Stroke, Treatment Outcome, Risk Factors, LDL-cholesterol, Humans, Phenome-wide association scan, Proprotein Convertase 9, Mendelian randomisation, Biomarkers, Dyslipidemias, Genome-Wide Association Study, Randomized Controlled Trials as Topic
Abstract: BACKGROUND: We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. METHODS: Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. RESULTS: The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer's disease - outcomes for which large-scale trial data were unavailable. CONCLUSIONS: Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.

140. Independent relevance of adiposity measures to coronary heart disease risk among 0.5 million adults in UK Biobank.

Author: Trichia, Eirini, Malden, Debbie E, Jin, Danyao, Wright, Neil, Taylor, Hannah, Karpe, Fredrik, Sherliker, Paul, Murgia, Federico, Hopewell, Jemma C, Lacey, Ben, Emberson, Jonathan, Bennett, Derrick, and Lewington, Sarah
Subjects: *CORONARY disease, *FAT, *OBESITY, *WAIST-hip ratio, *BODY mass index, *BLOOD lipids
Abstract: Background Evidence on body fat distribution shows opposing effects of waist circumference (WC) and hip circumference (HC) for coronary heart disease (CHD). We aimed to investigate the causality and the shape of such associations. Methods UK Biobank is a prospective cohort study of 0.5 million adults aged 40–69 years recruited between 2006 and 2010. Adjusted hazard ratios (HRs) for the associations of measured and genetically predicted body mass index (BMI), WC, HC and waist-to-hip ratio with incident CHD were obtained from Cox models. Mendelian randomization (MR) was used to assess causality. The analysis included 456 495 participants (26 225 first-ever CHD events) without prior CHD. Results All measures of adiposity demonstrated strong, positive and approximately log-linear associations with CHD risk over a median follow-up of 12.7 years. For HC, however, the association became inverse given the BMI and WC (HR per usual SD 0.95, 95% CI 0.93–0.97). Associations for BMI and WC remained independently positive after adjustment for other adiposity measures and were similar (1.14, 1.13–1.16 and 1.18, 1.15–1.20, respectively), with WC displaying stronger associations among women. Blood pressure, plasma lipids and dysglycaemia accounted for much of the observed excess risk. MR results were generally consistent with the observational, implying causality. Conclusions Body fat distribution measures displayed similar associations with CHD risk as BMI except for HC, which was inversely associated with CHD risk (given WC and BMI). These findings suggest that different measures of body fat distribution likely influence CHD risk through both overlapping and independent mechanisms. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

141. 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., and Armitage, Jane
Abstract: The Heart Protection Study 2–Treatment of HDL to Reduce the Incidence of Vascular Events (HPS2-THRIVE) trial of patients at high risk of vascular disease found that adding extended-release niacin-laropiprant to intensive statin-based LDL-lowering therapy had no benefit on cardiovascular outcomes. However, the trial also identified previously unrecognized serious adverse effects (including new-onset diabetes, bleeding, and infection). Our objective was to explore the safety profile of niacin-laropiprant and examine whether any patients were at lower (or higher) risk of its adverse effects. HPS2-THRIVE was a randomized, double-blind trial of niacin-laropiprant (2000/40 mg/d) versus placebo among 25,673 patients at high risk of vascular disease. Information on all serious adverse events was collected during a median of 3.9 years of study treatment. Effects of niacin-laropiprant on new-onset diabetes, disturbances of diabetes control, bleeding, infection, and gastrointestinal upset were estimated by (1) time after randomization, (2) severity, (3) baseline characteristics, (4) baseline risk of the adverse event of interest, and (5) risk of major vascular event. The hazard ratio (HR) for new-onset diabetes with niacin/laropiprant was 1.32 (95% CI, 1.16–1.51; P <.001), which corresponded to an absolute excess of 4 people (95% CI, 2–6) developing diabetes per 1000 person-years in the study population as a whole. Among the 8299 participants with diabetes at baseline, the HR for serious disturbances in diabetes control was 1.56 (95% CI, 1.35–1.80), corresponding to an absolute excess of 12 (95% CI, 8–16) per 1000 person-years. The HR was 1.38 (95% CI, 1.17–1.63; P <.001) for serious bleeding, corresponding to an absolute excess of 2 (95% CI, 1–3) per 1000 person-years and 1.22 (95% CI, 1.11–1.34; P <.001) for serious infection, corresponding to an absolute excess of 4 (95% CI, 2–6) per 1000 person-years. The excess risks of these serious adverse events were larger in the first year after starting niacin-laropiprant therapy than in later years (except for the excess of infection, which did not appear to attenuate with time), and the risks of nonfatal and fatal events were similarly increased. The absolute excesses of each of these adverse effects were similar regardless of the baseline risk of the outcome. Practitioners or patients considering the use of niacin (in addition to, or instead of, a statin) despite the lack of evidence of cardiovascular benefits (at least when added to effective statin therapy) should take account of the significant risks of these serious adverse effects when making such decisions. ClinicalTrials.gov identifier: NCT00461630. [ABSTRACT FROM AUTHOR]
Published: 2019
Full Text: View/download PDF

142. Effects of Anacetrapib in Patients with Atherosclerotic Vascular Disease

Abstract: BACKGROUND Patients with atherosclerotic vascular disease remain at high risk for cardiovascular events despite effective statin-based treatment of low-density lipoprotein (LDL) cholesterol levels. The inhibition of cholesteryl ester transfer protein (CETP) by anacetrapib reduces LDL cholesterol levels and increases high-density lipoprotein (HDL) cholesterol levels. However, trials of other CETP inhibitors have shown neutral or adverse effects on cardiovascular outcomes. METHODS We conducted a randomized, double-blind, placebo-controlled trial involving 30,449 adults with atherosclerotic vascular disease who were receiving intensive atorvastatin therapy and who had a mean LDL cholesterol level of 61 mg per deciliter (1.58 mmol per liter), a mean non-HDL cholesterol level of 92 mg per deciliter (2.38 mmol per liter), and a mean HDL cholesterol level of 40 mg per deciliter (1.03 mmol per liter). The patients were assigned to receive either 100 mg of anacetrapib once daily (15,225 patients) or matching placebo (15,224 patients). The primary outcome was the first major coronary event, a composite of coronary death, myocardial infarction, or coronary revascularization. RESULTS During the median follow-up period of 4.1 years, the primary outcome occurred in significantly fewer patients in the anacetrapib group than in the placebo group (1640 of 15,225 patients [10.8%] vs. 1803 of 15,224 patients [11.8%]; rate ratio, 0.91; 95% confidence interval, 0.85 to 0.97; P=0.004). The relative difference in risk was similar across multiple prespecified subgroups. At the trial midpoint, the mean level of HDL cholesterol was higher by 43 mg per deciliter (1.12 mmol per liter) in the anacetrapib group than in the placebo group (a relative difference of 104%), and the mean level of non-HDL cholesterol was lower by 17 mg per deciliter (0.44 mmol per liter), a relative difference of -18%. There were no significant between-group differences in the risk of death, cancer, or other serious ad
Published: 2017

143. 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.
Subjects: *CORONARY disease, *PLASMINOGEN, *PHOSPHOLIPIDS, *APOLIPOPROTEIN E4
Abstract: Oxidized phospholipids carried on the apolipoprotein B-100 (OxPL-apoB) component of Lp(a) are predictive of coronary heart disease (CHD), but the role of oxidized phospholipids carried on plasminogen (OxPL-PLG) is unknown. We examined the independent effects of OxPL-apoB and OxPL-PLG for risk of CHD before and after adjustment for Lp(a). Plasma levels of OxPL-apoB, OxPL-PLG, plasminogen and Lp(a) were measured in the PROCARDIS study of early-onset CHD (906 cases/858 controls). Multivariable logistic regression was used to estimate the odds ratios (OR) for each biomarker with CHD after adjustment for established risk factors. Mean levels of OxPL-apoB were higher in cases than controls, but levels of OxPL-PLG and plasminogen were similar. For OxPL-apoB, individuals in the top vs bottom fifth had 2-fold higher age and sex-adjusted OR of CHD (OR = 2.61 [95%CI: 1.91, 3.55]), which were partially attenuated after adjustment for established risk factors. The findings for OxPL-apoB and CHD in PROCARDIS were comparable with those of a meta-analysis of all such studies. However, the associations of OxPL-apoB with CHD were fully attenuated by additional adjustment for Lp(a) (OR = 0.93 [0.54,1.60]). Neither OxPL-PLG nor plasminogen were associated with CHD. Overall, there were no differences in the predictive value for CHD of high vs normal levels (<20th or >80th percentile) of OxPL-apoB, OxPL-PLG, plasminogen or Lp(a) after stratifying for each other. These results highlight the context-dependency of OxPL in plasma and suggest that their associated risk of CHD is chiefly mediated by their carriage on Lp(a). [Display omitted] • Plasma levels of oxidized phospholipids carried on apolipoprotein B-100 are predictive of coronary heart disease. • Plasma levels of oxidized phospholipids carried on plasminogen and plasminogen were unrelated to risk of coronary heart disease. • The effects of oxidized phospholipids on risk of coronary heart disease are chiefly mediated by their carriage on Lp(a). [ABSTRACT FROM AUTHOR]
Published: 2022
Full Text: View/download PDF

144. COVID-19 Mortality and Economic Losses: The Role of Policies and Structural Conditions.

Author: Wang, Weichen, Gurgone, Andrea, Martínez, Humberto, Barbieri Góes, Maria Cristina, Gallo, Ettore, Kerényi, Ádam, Turco, Enrico Maria, Coburger, Carla, and Andrade, Pêdra D. S.
Subjects: COVID-19, COVID-19 pandemic, LOGISTIC regression analysis, INDUSTRIAL clusters, HIERARCHICAL clustering (Cluster analysis), CLUSTER analysis (Statistics), ECONOMIC stimulus, CIGARETTES
Abstract: The response of governments to the COVID-19 outbreak was foremost oriented to two objectives: saving lives and limiting economic losses. However, the effectiveness and success factors of interventions were unknown ex-ante. This study aims to shed light on the drivers of countries' performances during the first year of the COVID-19 pandemic. We measure performances by excess mortality and GDP growth adjusted for additional fiscal stimulus. We conduct an empirical analysis in two stages: first, using hierarchical clustering, we partition countries based on their similarity in health and economic outcomes. Second, we identify the key drivers of outcomes in each country cluster by regression analysis, which include linear, least absolute shrinkage and selection operator (LASSO), and logit models. We argue that differences in countries' performances can be traced back both to policy responses to COVID-19 and structural conditions, the latter being immutable over the pandemic. Three relevant structural conditions emerge from the results: trade reliance on services, corruption, and the size of the vulnerable population (elderly, low-income, smoking, or cardiovascular-failing). Policies such as large-scale open public testing and additional fiscal stimulus in non-health could help reduce excess mortality, which might lead to lower economic losses. [ABSTRACT FROM AUTHOR]
Published: 2022
Full Text: View/download PDF

145. Dissecting heterogeneity in GWAS meta-analysis

Author: Magosi, Lerato Elaine, Hopewell, Jemma C., and Farrall, Martin
Subjects: 616.1, statistical genetics, genome-wide association studies, heterogeneity, prior distributions, meta-analysis, genetic epidemiology, LPA, coronary heart disease, genetic association meta-analyses, cardiovascular genetics, coronary artery disease, Bayesian methods, GWAS, Bayesian meta-analysis
Abstract: Statistical heterogeneity refers to differences among results of studies combined in a meta-analysis beyond that expected by chance. On the one hand, excessive heterogeneity can diminish power to discover genetic signals; on the other, moderate heterogeneity can reveal important biological differences among studies. Given its double-edged nature, this thesis dissects heterogeneity in genetic association meta-analyses from three vantage points. First, a novel multi-variant statistic, M is proposed to detect genome-wide (systematic) heterogeneity patterns in genetic association meta-analyses. This was motivated by the limited availability of appropriate methodology to measure the impact of heterogeneity across genetic signals, since traditional metrics (Q, I2 and T2) measure heterogeneity at individual variants. Second, given that meta-analyses comprising small numbers of studies typically report imprecise summary effect estimates; GWAS-derived empirical heterogeneity priors are used to improve precision in estimation of average genetic effects and heterogeneity in smaller meta-analyses (e.g. ≤ 10 studies). Third, a critical evaluation of the Han-Eskin random-effects model shows how it can identify small effect heterogeneous loci overlooked by traditional fixed and random-effects methods. This work draws attention to the existence of genome-wide heterogeneity patterns, to reveal systematic differences among the ascertainment criteria of participating studies in a meta-analysis of coronary disease (CAD) risk. Furthermore, simulation studies with the Han-Eskin random-effects model revealed inflated genetic signals at small effect loci when heterogeneity levels were high. However, it did reveal an additional CAD risk variant overlooked by traditional meta-analysis methods. We therefore recommend a holistic approach to exploring heterogeneity in meta-analyses which assesses heterogeneity of genetic effects both at individual variants with traditional statistics and across multiple genetic signals with the M statistic. Furthermore, it is critically important to review forest plots for small effect loci identified using the Han-Eskin random-effects model amidst moderate-to-high heterogeneity (I2 ≥ 40%).
Published: 2017

146. 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: *ISCHEMIC stroke, *LEAN body mass, *MYOCARDIAL ischemia, *CORONARY disease, *LACUNAR stroke, *GROWTH of children
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. In a Mendelian randomization study, Andrew B. Linden and colleagues study the relationship between height and risk of stroke subtypes among individuals from the MEGASTROKE consortium, China Kadoorie Biobank, and UK Biobank. Author summary: Why was this study done?: Taller people have lower risks of ischemic stroke and heart disease, but higher risks of atrial fibrillation. However, little is known about the effects of height on the risks of different subtypes of ischemic stroke (cardioembolic stroke, large-artery stroke, and small-vessel stroke). Understanding the shared biological and physical pathways underlying the associations between height and stroke risks could identify potential targets for treatments to prevent stroke. Mean height and the rates of different stroke subtypes vary considerably across different income and ancestry populations, and, therefore, investigation across diverse ancestries is important. What did the researchers do and find?: We used a mendelian randomization (MR) approach to study the association between genetic variants for height and risk of ischemic stroke subtypes in populations with different ancestries. Genetic variants associated with taller height were associated with higher risks of cardioembolic stroke and lower risks of large-artery and small-vessel stroke. The findings were consistent across populations of different genetic ancestries and use of different analytical methods. What do these findings mean?: The findings support a causal association of taller adult height with higher risks of atrial fibrillation and cardioembolic stroke and lower risks of other ischemic stroke subtypes. Further research is needed to clarify the biological and physical pathways underlying the associations of height with ischemic stroke subtypes, which could identify novel targets for treatments to prevent stroke. [ABSTRACT FROM AUTHOR]
Published: 2022
Full Text: View/download PDF

147. Effects of Extended-Release Niacin with Laropiprant in High-Risk Patients.

Author: Landray, Martin J., Haynes, Richard, Hopewell, Jemma C., Parish, Sarah, Theingi Aung, Tomson, Joseph, Wallendszus, Karl, Craig, Martin, Lixin Jiang, Collins, Rory, and Armitage, Jane
Subjects: *NIACIN, *STATINS (Cardiovascular agents), *LOW density lipoproteins, *CHOLESTEROL, *CARDIOVASCULAR disease prevention, *THERAPEUTICS
Abstract: The article reports that the addition of extended-release niacin with laropiprant to statin-based low density lipoprotein (LDL) cholesterol therapy did not significantly reduce the risk of cardiovascular diseases, but increased the risk of serious adverse events. Observation data indicate that LDL cholesterol is strongly associated with the risk of coronary artery disease. Niacin decreases LDL cholesterol and raises high-density lipoprotein, but its clinical efficacy and safety is uncertain.
Published: 2014
Full Text: View/download PDF

148. Stroke genetics informs drug discovery and risk prediction across ancestries

Abstract: Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries., Publisher correction: Mishra, A., Malik, R., Hachiya, T. et al. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries. Nature 612, E7 (2022). DOI: 10.1038/s41586-022-05492-5
Published: 2022
Full Text: View/download PDF

149. Stroke genetics informs drug discovery and risk prediction across ancestries

Abstract: Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries., Publisher correction: Mishra, A., Malik, R., Hachiya, T. et al. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries. Nature 612, E7 (2022). DOI: 10.1038/s41586-022-05492-5
Published: 2022
Full Text: View/download PDF

150. Stroke genetics informs drug discovery and risk prediction across ancestries

Abstract: Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries., Publisher correction: Mishra, A., Malik, R., Hachiya, T. et al. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries. Nature 612, E7 (2022). DOI: 10.1038/s41586-022-05492-5
Published: 2022
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Region

Database

Publisher

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

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources