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116 results on '"Tybjaerg-Hansen, Anne"'

1. Familial hypercholesterolaemia in children and adolescents from 48 countries: a cross-sectional study

Author

Dharmayat, Kanika Inamdar, Vallejo-Vaz, Antonio J., Stevens, Christophe A.T., Brandts, Julia M., Lyons, Alexander R.M., Groselj, Urh, Abifadel, Marianne, Aguilar-Salinas, Carlos A., Alhabib, Khalid, Alkhnifsawi, Mutaz, Almahmeed, Wael, Alnouri, Fahad, Alonso, Rodrigo, Al-Rasadi, Khalid, Ashavaid, Tester F., Banach, Maciej, Béliard, Sophie, Binder, Christoph, Bourbon, Mafalda, Chlebus, Krzysztof, Corral, Pablo, Cruz, Diogo, Descamps, Olivier S., Drogari, Euridiki, Durst, Ronen, Ezhov, Marat V., Genest, Jacques, Harada-Shiba, Mariko, Holven, Kirsten B., Humphries, Steve E., Khovidhunkit, Weerapan, Lalic, Katarina, Laufs, Ulrich, Liberopoulos, Evangelos, Roeters van Lennep, Jeanine, Lima-Martinez, Marcos Miguel, Lin, Jie, Maher, Vincent, März, Winfried, Miserez, André R., Mitchenko, Olena, Nawawi, Hapizah, Panayiotou, Andrie G., Paragh, György, Postadzhiyan, Arman, Reda, Ashraf, Reiner, Željko, Reyes, Ximena, Sadiq, Fouzia, Sahebkar, Amirhossein, Schunkert, Heribert, Shek, Aleksandr B., Stroes, Eric, Su, Ta-Chen, Subramaniam, Tavintharan, Susekov, Andrey, Vázquez Cárdenas, Alejandra, Huong Truong, Thanh, Tselepis, Alexandros D., Vohnout, Branislav, Wang, Luya, Yamashita, Shizuya, Al-Sarraf, Ahmad, Al-Sayed, Nasreen, Davletov, Kairat, Dwiputra, Bambang, Gaita, Dan, Kayikcioglu, Meral, Latkovskis, Gustavs, Marais, A. David, Thushara Matthias, Anne, Mirrakhimov, Erkin, Nordestgaard, Børge G., Petrulioniene, Zaneta, Pojskic, Belma, Sadoh, Wilson, Tilney, Myra, Tomlinson, Brian, Tybjærg-Hansen, Anne, Viigimaa, Margus, Catapano, Alberico L., Freiberger, Tomas, Hovingh, G. Kees, Mata, Pedro, Soran, Handrean, Raal, Frederick, Watts, Gerald F., Schreier, Laura, Bañares, Virginia, Greber-Platzer, Susanne, Baumgartner-Kaut, Margot, de Gier, Charlotte, Dieplinger, Hans, Höllerl, Florian, Innerhofer, Reinhold, Karall, Daniela, Lischka, Julia, Ludvik, Bernhard, Mäser, Martin, Scholl-Bürgi, Sabine, Thajer, Alexandra, Toplak, Hermann, Demeure, Fabian, Mertens, Ann, Balligand, Jean-Luc, Stephenne, Xavier, Sokal, Etienne, Petrov, Ivo, Goudev, Assen, Nikolov, Fedya, Tisheva, Snejana, Yotov, Yoto, Tzvetkov, Ivajlo, Hegele, Robert A, Gaudet, Daniel, Brunham, Liam, Ruel, Isabelle, McCrindle, Brian, Cuevas, Ada, Perica, Dražen, Symeonides, Phivos, Trogkanis, Efstratios, Kostis, Andreas, Ioannou, Andreas, Mouzarou, Angeliki, Georgiou, Anthoula, Stylianou, Andreas, Miltiadous, George, Iacovides, Paris, Deltas, Constantinos, Vrablik, Michal, Urbanova, Zuzana, Jesina, Pavel, Tichy, Lukas, Hyanek, Josef, Dvorakova, Jana, Cepova, Jana, Sykora, Josef, Buresova, Kristyna, Pipek, Michal, Pistkova, Eva, Bartkova, Ivana, S, Astrid, Toukalkova, Lenka, Spenerova, Michaela, Maly, Jan, Benn, Marianne, Bendary, Ahmed, Elbahry, Atef, Ferrières, Jean, Ferrieres, Dorota, Peretti, Noel, Bruckert, Eric, Gallo, Antonio, Valero, René, Mourre, Florian, Aouchiche, Karine, Reynaud, Rachel, Tounian, Patrick, Lemale, Julie, Boccara, Franck, Moulin, Philippe, Charrières, Sybil, Di Filippo, Mathilde, Cariou, Bertrand, Paillard, François, Dourmap, Caroline, Pradignac, Alain, Verges, Bruno, Simoneau, Isabelle, Farnier, Michel, Cottin, Yves, Yelnik, Cecile, Hankard, Regis, Schiele, François, Durlach, Vincent, Sultan, Ariane, Carrié, Alain, Rabès, Jean-Pierre, Sanin, Veronika, Schmieder, Roland, Ates, Sara, Rizos, Christos V., Skoumas, Ioannis, Tziomalos, Konstantinos, Rallidis, Loukianos, Kotsis, Vasileios, Doumas, Michalis, Skalidis, Emmanouil, Kolovou, Genovefa, Kolovou, Vana, Garoufi, Anastasia, Koutagiar, Iosif, Polychronopoulos, Georgios, Kiouri, Estela, Antza, Christina, Zacharis, Evangelos, Attilakos, Achilleas, Sfikas, George, Koumaras, Charalambos, Anagnostis, Panagiotis, Anastasiou, Georgia, Liamis, George, Adamidis, Petros-Spyridon, Milionis, Haralambos, Lambadiari, Vaia, Stabouli, Stella, Filippatos, Theodosios, Mollaki, Vicky, Tsaroumi, Anastasia, Lamari, Frida, Proyias, Pavlos, Harangi, Mariann, Reddy, Lakshmi Lavanya, Shah, Swarup A. V, Ponde, Chandrashekhar K., Dalal, Jamshed J., Sawhney, Jitendra P.S., Verma, Ishwar C., Hosseini, Susan, Jamialahmadi, Tannaz, Alareedh, Mohammed, Shaghee, Foaad, Rhadi, Sabah Hasan, Abduljalal, Maryam, Alfil, Sarmad, Kareem, Huda, Cohen, Hofit, Leitersdorf, Eran, Schurr, Daniel, Shpitzen, Shoshi, Arca, Marcello, Averna, Maurizio, Bertolini, Stefano, Calandra, Sebastiano, Tarugi, Patrizia, Casula, Manuela, Galimberti, Federica, Gazzotti, Marta, Olmastroni, Elena, Sarzani, Riccardo, Ferri, Claudio, Repetti, Elena, Giorgino, Francesco, Suppressa, Patrizia, Bossi, Antonio Carlo, Borghi, Claudio, Muntoni, Sandro, Cipollone, Francesco, Scicali, Roberto, Pujia, Arturo, Passaro, Angelina, Berteotti, Martina, Pecchioli, Valerio, Pisciotta, Livia, Mandraffino, Giuseppe, Pellegatta, Fabio, Mombelli, Giuliana, Branchi, Adriana, Fiorenza, Anna Maria, Pederiva, Cristina, Werba, José Pablo, Parati, Gianfranco, Nascimbeni, Fabio, Iughetti, Lorenzo, Fortunato, Giuliana, Cavallaro, Raimondo, Iannuzzo, Gabriella, Calabrò, Paolo, Cefalù, Angelo Baldassare, Capra, Maria Elena, Zambon, Alberto, Pirro, Matteo, Sbrana, Francesco, Trenti, Chiara, Minicocci, Ilenia, Federici, Massimo, Del Ben, Maria, Buonuomo, Paola Sabrina, Moffa, Simona, Pipolo, Antonio, Citroni, Nadia, Guardamagna, Ornella, Lia, Salvatore, Benso, Andrea, Biolo, Gianni Biolo, Maroni, Lorenzo, Lupi, Alessandro, Bonanni, Luca, Rinaldi, Elisabetta, Zenti, Maria Grazia, Masuda, Daisaku, Mahfouz, Linda, Jambart, Selim, Ayoub, Carine, Ghaleb, Youmna, Kasim, Noor Alicezah Mohd, Nor, Noor Shafina Mohd, Al-Khateeb, Alyaa, Kadir, Siti Hamimah Sheikh Abdul, Chua, Yung-An, Razman, Aimi Zafira, Nazli, Sukma Azureen, Ranai, Norashikin Mohd, Latif, Ahmad Zubaidi Abd, Torres, María Teresa Magaña, Mehta, Roopa, Martagon, Alexandro J., Ramirez, Gabriela A. Galan, Antonio-Villa, Neftali Eduardo, Vargas-Vazquez, Arsenio, Elias-Lopez, Daniel, Retana, Gustavo Gonzalez, Encinas, Bethsabel Rodriguez, Macias, Jose J. Ceballos, Zazueta, Alejandro Romero, Alvarado, Rocio Martinez, Portano, Julieta D. Morales, Lopez, Humberto Alvares, Sauque-Reyna, Leobardo, Gomez Herrera, Laura G., Simental Mendia, Luis E., Aguilar, Humberto Garcia, Cooremans, Elizabeth Ramirez, Aparicio, na, Zubieta, Victoria Mendoza, Gonzalez, Perla A. Carrillo, Ferreira-Hermosillo, Aldo, Portilla, Nacu Caracas, Dominguez, Guadalupe Jimenez, Garcia, Alinna Y. Ruiz, Arriaga Cazares, Hector E., Gonzalez Gonzalez, Jesus R., Mendez Valencia, Carla V., Padilla Padilla, Francisco G., Prado, Ramon Madriz, De los Rios Ibarra, Manuel O., na, Acevedo Rivera, Karina J., Carrera, Ricardo Allende, Alvarez, Jose A., Amezcua Martinez, Jose C., Barrera Bustillo, Manuel de los Reyes, Vargas, Gonzalo Carazo, Chacon, Roberto Contreras, Figueroa Andrade, Mario H., Ortega, Ashanty Flores, Alcala, Hector Garcia, Garcia de Leon, Laura E., Guzman, Berenice Garcia, Garcia, no, Garnica Cuellar, Juan C., Gomez Cruz, Jose R., Garcia, Anell Hernandez, Holguin Almada, Jesus R., Herrera, Ursulo Juarez, Sobrevilla, Fabiola Lugo, Rodriguez, Eduardo Marquez, Sibaja, Cristina Martinez, Medrano Rodriguez, Alma B., Morales Oyervides, Jose C., Perez Vazquez, Daniel I., Reyes Rodriguez, Eduardo A., Osorio, Ma. Ludivina Robles, Saucedo, Juan Rosas, Tamayo, Margarita Torres, Valdez Talavera, Luis A., Vera Arroyo, Luis E., Zepeda Carrillo, Eloy A., Galema-Boers, Annette, Weigman, Albert, Bogsrud, Martin P., Malik, Munir, Shah, Saeedullah, Khan, Sabeen Abid, Rana, Muhammad Asim, Batool, Hijab, Starostecka, Ewa, Konopka, Agnieszka, Lewek, Joanna, Bielecka-Dąbrowa, Agata, Gach, Agnieszka, Jóźwiak, Jacek, Pajkowski, Marcin, Romanowska-Kocejko, Marzena, Żarczyńska-Buchowiecka, Marta, Hellmann, Marcin, Chmara, Magdalena, Wasąg, Bartosz, Parczewska, Aleksandra, Gilis-Malinowska, Natasza, Borowiec-Wolna, Justyna, Stróżyk, Aneta, Michalska-Grzonkowska, Aleksandra, Chlebus, Izabela, Kleinschmidt, Mariola, Wojtecka, Agnieszka, Zdrojewski, Tomasz, Myśliwiec, Małgorzata, Hennig, Matylda, Medeiros, Ana Margarida, Alves, Ana Catarina, Almeida, Ana Filipa, Lopes, Andreia, Guerra, António, Bilhoto, Carla, Simões, Fernando, Silva, Francisco, Lobarinhas, Goreti, Gama, Guida, Palma, Isabel, Salgado, José Miguel, Matos, Luísa Diogo, Moura, Márcio de, Virtuoso, Maria João, Tavares, Mónica, Ferreira, Patrícia, Pais, Patrícia, Garcia, Paula, Coelho, Raquel, Ribeiro, Raquel, Correia, Susana, Sadykova, Dinara, Slastnikova, Evgenia, Alammari, Dalal, Mawlawi, Horia Ahmed, Alsahari, Atif, Khudary, Alia Abdullah, Alrowaily, Nawal Lafi, Rajkovic, Natasa, Popovic, Ljiljana, Singh, Sandra, Rasulic, Iva, Petakov, Ana, Lalic, Nebojsa M., Peng, Fabian Kok, Vasanwala, Rashida Farhan, Venkatesh, Sreedharan Aravind, Raslova, Katarina, Fabryova, Lubomira, Nociar, Jan, Šaligova, Jana, Potočňáková, Ludmila, Kozárová, Miriam, Varga, Tibor, Kadurova, Michaela, Debreova, Marianna, Novodvorsky, Peter, Gonova, Katarina, Klabnik, Alexander, Buganova, Ingrid, Battelino, Tadej, Bizjan, Barbara Jenko, Debeljak, Marusa, Kovac, Jernej, Mlinaric, Matej, Molk, Neza, Sikonja, Jaka, Sustar, Ursa, Podkrajsek, Katarina Trebusak, Muñiz-Grijalvo, Ovidio, Díaz-Díaz, Jose Luis, de Andrés, Raimundo, Fuentes-Jiménez, Francisco, Blom, Dirk, Miserez, Eleonore B., Shipton, Janine L., Ganokroj, Poranee, Futema, Marta, Ramaswami, Uma, Alieva, Rano B., Fozilov, Khurshid G., Khoshimov, Shavkat U., Nizamov, Ulugbek I., Abdullaeva, Guzal J., Kan, Liliya E., Abdullaev, Alisher A., Zakirova, Daria V., Do, Doan-Loi, Nguyen, Mai-Ngoc-Thi, Kim, Ngoc-Thanh, Le, Thanh-Tung, Le, Hong-An, Santos, Raul, and Ray, Kausik K.

Abstract

Approximately 450 000 children are born with familial hypercholesterolaemia worldwide every year, yet only 2·1% of adults with familial hypercholesterolaemia were diagnosed before age 18 years via current diagnostic approaches, which are derived from observations in adults. We aimed to characterise children and adolescents with heterozygous familial hypercholesterolaemia (HeFH) and understand current approaches to the identification and management of familial hypercholesterolaemia to inform future public health strategies.

Published
2024
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2. Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosis

Author

Ghouse, Jonas, Sveinbjörnsson, Gardar, Vujkovic, Marijana, Seidelin, Anne-Sofie, Gellert-Kristensen, Helene, Ahlberg, Gustav, Tragante, Vinicius, Rand, Søren A., Brancale, Joseph, Vilarinho, Silvia, Lundegaard, Pia Rengtved, Sørensen, Erik, Erikstrup, Christian, Bruun, Mie Topholm, Jensen, Bitten Aagaard, Brunak, Søren, Banasik, Karina, Ullum, Henrik, Verweij, Niek, Lotta, Luca, Baras, Aris, Mirshahi, Tooraj, Carey, David J., Kaplan, David E., Lynch, Julie, Morgan, Timothy, Schwantes-An, Tae-Hwi, Dochtermann, Daniel R., Pyarajan, Saiju, Tsao, Philip S., Laisk, Triin, Mägi, Reedik, Kozlitina, Julia, Tybjærg-Hansen, Anne, Jones, David, Knowlton, Kirk U., Nadauld, Lincoln, Ferkingstad, Egil, Björnsson, Einar S., Ulfarsson, Magnus O., Sturluson, Árni, Sulem, Patrick, Pedersen, Ole B., Ostrowski, Sisse R., Gudbjartsson, Daniel F., Stefansson, Kari, Olesen, Morten Salling, Chang, Kyong-Mi, Holm, Hilma, Bundgaard, Henning, and Stender, Stefan

Abstract

We report a multi-ancestry genome-wide association study on liver cirrhosis and its associated endophenotypes, alanine aminotransferase (ALT) and γ-glutamyl transferase. Using data from 12 cohorts, including 18,265 cases with cirrhosis, 1,782,047 controls, up to 1 million individuals with liver function tests and a validation cohort of 21,689 cases and 617,729 controls, we identify and validate 14 risk associations for cirrhosis. Many variants are located near genes involved in hepatic lipid metabolism. One of these, PNPLA3p.Ile148Met, interacts with alcohol intake, obesity and diabetes on the risk of cirrhosis and hepatocellular carcinoma (HCC). We develop a polygenic risk score that associates with the progression from cirrhosis to HCC. By focusing on prioritized genes from common variant analyses, we find that rare coding variants in GPAMassociate with lower ALT, supporting GPAMas a potential target for therapeutic inhibition. In conclusion, this study provides insights into the genetic underpinnings of cirrhosis.

Published
2024
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3. Actionability and familial uptake following opportunistic genomic screening in a pediatric cancer cohort

Author

Hammer-Hansen, Sophia, Stoltze, Ulrik, Bartels, Emil, Hansen, Thomas van Overeem, Byrjalsen, Anna, Tybjærg-Hansen, Anne, Juul, Klaus, Schmiegelow, Kjeld, Tfelt, Jacob, Bundgaard, Henning, Wadt, Karin, and Diness, Birgitte Rode

Abstract

The care for patients with serious conditions is increasingly guided by genomic medicine, and genomic medicine may equally transform care for healthy individual if genomic population screening is implemented. This study examines the medical impact of opportunistic genomic screening (OGS) in a cohort of patients undergoing comprehensive genomic germline DNA testing for childhood cancer, including the impact on their relatives. Medical actionability and uptake after cascade testing in the period following disclosure of OGS results was quantified. A secondary finding was reported to 19/595 (3.2%) probands primarily in genes related to cardiovascular and lipid disorders. After a mean follow up time of 1.6 years (Interquartile range (IQR): 0.57-1.92 yrs.) only 12 (63%) of these variants were found to be medically actionable. Clinical follow up or treatment was planned in 16 relatives, and as in the probands, the prescribed treatment was primarily betablockers or cholesterol lowering therapy. No invasive procedures or implantation of medical devices were performed in probands or relatives, and no reproductive counseling was requested. After an average of 1.6 years of follow-up 2.25 relatives per family with an actionable finding had been tested. This real-world experience of OGS grants new insight into the practical implementation effects and derived health care demands of genotype-first screening. The resulting health care effect and impact on demand for genetic counseling and workup in relatives extends beyond the effect in the probands.

Published
2024
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4. Absolute 10-year risk of dementia by age, sex and APOE genotype: a population-based cohort study

Author

Rasmussen, Katrine L., Tybjaerg-Hansen, Anne, Nordestgaard, Borge G., and Frikke-Schmidt, Ruth

Subjects
Disease age factors -- Research, Dementia -- Risk factors -- Genetic aspects, Medical research, Apolipoproteins -- Health aspects -- Physiological aspects, Disease sex factors -- Research, Health
Abstract

BACKGROUND: Dementia is a major cause of disability, and risk-factor reduction may have the potential to delay or prevent the disease. Our aim was to determine the absolute 10-year risk of dementia, by age, sex and apolipoprotein E (APOE) genotype. METHODS: We obtained data from the Copenhagen General Population Study (from 2003 to 2014) and the Copenhagen City Heart Study (from 1991 to 1994 and 2001 to 2003). Participants underwent a questionnaire, physical examination and blood sampling at baseline. Diagnoses of dementia and cerebrovascular disease were obtained from the Danish National Patient Registry up to Nov. 10, 2014. RESULTS: Among 104 537 individuals, the absolute 10-year risk of Alzheimer disease in 3017 women and men who were carriers of the APOE [epsilon]44 genotype was, respectively, 7% and 6% at age 60-69 years, 16% and 12% at age 70-79 years, and 24% and 19% at age 80 years and older. Corresponding values for all dementia were 10% and 8%, 22% and 19%, and 38% and 33%, respectively. Adjusted hazard ratios (HRs) for all dementia increased by genotype, from genotype [epsilon]22 to [epsilon]32 to [epsilon]33 to [epsilon]42 to [epsilon]43 to [epsilon]44 (p for trend INTERPRETATION: Age, sex and APOE genotype robustly identify high-risk groups for Alzheimer disease and all dementia. These groups can potentially be targeted for preventive interventions., Dementia is a major cause of disability in later life, and the global prevalence is increasing, especially in low- and middle-income countries. (1,2) Reduction of risk factors for dementia may [...]

Published
2018
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5. Associations of Alzheimer Disease–Protective APOE Variants With Age-Related Macular Degeneration

Author

Rasmussen, Katrine L., Tybjærg-Hansen, Anne, Nordestgaard, Børge G., and Frikke-Schmidt, Ruth

Abstract

IMPORTANCE: The association of major lipid genes with and their potential as drug targets for age-related macular degeneration (AMD) is unknown. These associations are important to study because AMD is the leading cause of irreversible late-onset blindness in high-income countries. OBJECTIVE: To determine whether the full range of structural genetic variation in apolipoprotein E (APOE), a master gene in peripheral and cerebral lipid metabolism, is associated with risk of AMD. DESIGN, SETTING, AND PARTICIPANTS: This cohort study used data from the Copenhagen City Heart Study (CCHS) and the Copenhagen General Population Study (CGPS) cohorts. Participants were followed from study inclusion at the time of blood sampling to occurrence of event, death, emigration, or December 7, 2018, whichever came first. For participants in CCHS, the APOE gene was sequenced, and 9 variants with a heterozygote frequency of at least 0.0002 were genotyped in the CGPS. Observers were masked to patient groupings. Data were analyzed from March to September 2021. EXPOSURES: The exposure was APOE status, and the direct gene product in plasma, apoE levels, was measured in all participants. MAIN OUTCOMES AND MEASURES: Cox regression was applied to estimate risk of AMD associated with APOE genotype. RESULTS: A total of 105 546 participants (mean [SD] age, 57.7 [13.4] years; 58 140 [55%] female participants) were included. Compared with participants with the common ɛ33 genotype, risk of AMD was lower in participants with ε44 (multifactorially adjusted hazard ratio [aHR], 0.66; 95% CI, 0.45-0.96) and ε43 (aHR, 0.80; 95% CI, 0.71-0.90) genotypes and higher in the ε32 (aHR, 1.15; 95% CI, 1.00-1.31) genotype. Compared with noncarriers, risk of AMD was higher for participants with Gly145Asp (aHR, 3.53; 95% CI, 1.14-10.96) and Arg154Cys (aHR, 4.52; 95% CI, 1-13-18.13) heterozygotes. Results were similar after further adjustment for lipid traits and after adjustment for the APOE ε2/ε3/ε4 variant. Combining all common and rare structural variants in a weighted allele score, risk of AMD per 1-mg/dL genetically higher plasma apoE was increased in the adjusted model (aHR, 1.12; 95% CI, 1.05-1.19), the adjusted model plus APOE ɛ2/ɛ3/ɛ4 status (aHR, 1.82; 95% CI, 1.20-2.76), and the adjusted model in individuals with the ε33 genotype only (aHR, 1.77; 95% CI, 1.14-2.75). CONCLUSIONS AND RELEVANCE: These findings highlight that structural variation in APOE beyond the ε2/ε3/ε4 variants may be important for risk of AMD in a population of European ancestry. Rare functional ɛ2-like variants in APOE have previously been reported to have protective associations for Alzheimer disease but the present findings suggest a simultaneous high risk of AMD. This would limit the drug target potential of mechanisms resembling these variants.

Published
2023
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6. Total and cause-specific mortality by elevated transferrin saturation and hemochromatosis genotype in individuals with diabetes: two general population studies

Author

Ellervik, Christina, Mandrup-Poulsen, Thomas, Tybjaerg-Hansen, Anne, and Nordestgaard, Borge G.

Subjects
Mortality -- Denmark, Type 1 diabetes -- Genetic aspects -- Research -- Health aspects, Hemochromatosis -- Genetic aspects -- Research -- Health aspects, Transferrin -- Health aspects, Health, European Association for the Study of Diabetes
Abstract

OBJECTIVE Mortality is increased in patients with hereditary hemochromatosis, in individuals from the general population with increased transferrin saturation (TS), and also in patients with type 1 diabetes and increased [...]

Published
2014
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7. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses

Author

Gaziano, Liam, Sun, Luanluan, Arnold, Matthew, Bell, Steven, Cho, Kelly, Kaptoge, Stephen K., Song, Rebecca J., Burgess, Stephen, Posner, Daniel C., Mosconi, Katja, Robinson-Cohen, Cassianne, Mason, Amy M., Bolton, Thomas R., Tao, Ran, Allara, Elias, Schubert, Petra, Chen, Lingyan, Staley, James R., Staplin, Natalie, Altay, Servet, Amiano, Pilar, Arndt, Volker, Ärnlöv, Johan, Barr, Elizabeth L.M., Björkelund, Cecilia, Boer, Jolanda M.A., Brenner, Hermann, Casiglia, Edoardo, Chiodini, Paolo, Cooper, Jackie A., Coresh, Josef, Cushman, Mary, Dankner, Rachel, Davidson, Karina W., de Jongh, Renate T., Donfrancesco, Chiara, Engström, Gunnar, Freisling, Heinz, de la Cámara, Agustín Gómez, Gudnason, Vilmundur, Hankey, Graeme J., Hansson, Per-Olof, Heath, Alicia K., Hoorn, Ewout J., Imano, Hironori, Jassal, Simerjot K., Kaaks, Rudolf, Katzke, Verena, Kauhanen, Jussi, Kiechl, Stefan, Koenig, Wolfgang, Kronmal, Richard A., Kyrø, Cecilie, Lawlor, Deborah A., Ljungberg, Börje, MacDonald, Conor, Masala, Giovanna, Meisinger, Christa, Melander, Olle, Moreno Iribas, Conchi, Ninomiya, Toshiharu, Nitsch, Dorothea, Nordestgaard, Børge G., Onland-Moret, Charlotte, Palmieri, Luigi, Petrova, Dafina, Garcia, Jose Ramón Quirós, Rosengren, Annika, Sacerdote, Carlotta, Sakurai, Masaru, Santiuste, Carmen, Schulze, Matthias B., Sieri, Sabina, Sundström, Johan, Tikhonoff, Valérie, Tjønneland, Anne, Tong, Tammy, Tumino, Rosario, Tzoulaki, Ioanna, van der Schouw, Yvonne T., Monique Verschuren, W.M., Völzke, Henry, Wallace, Robert B., Wannamethee, S. Goya, Weiderpass, Elisabete, Willeit, Peter, Woodward, Mark, Yamagishi, Kazumasa, Zamora-Ros, Raul, Akwo, Elvis A., Pyarajan, Saiju, Gagnon, David R., Tsao, Philip S., Muralidhar, Sumitra, Edwards, Todd L., Damrauer, Scott M., Joseph, Jacob, Pennells, Lisa, Wilson, Peter W.F., Harrison, Seamus, Gaziano, Thomas A., Inouye, Michael, Baigent, Colin, Casas, Juan P., Langenberg, Claudia, Wareham, Nick, Riboli, Elio, Gaziano, J.Michael, Danesh, John, Hung, Adriana M., Butterworth, Adam S., Wood, Angela M., Di Angelantonio, Emanuele, Koettgen, Anna, Shaw, Jonathan, Atkins, Robert, Zimmet, Paul, Whincup, Peter, Willeit, Peter, Willeit, Johann, Leitner, Christoph, Casiglia, Edoardo, Tikhonoff, Valérie, Tybjaerg-Hansen, Anne, Schnohr, Peter, Afzal, Shoaib, Pablos, David Lora, Arriscado, Cristina Martin, Ferreiro, Carmen Romero, Wallace, Robert B., Stocker, Hannah, Schöttker, Ben, Holleczek, Bernd, Chetrit, Angela, Welin, Lennart, Svärdsudd, Kurt, Welin, Lennart, Svärdsudd, Kurt, Lissner, Lauren, Hange, Dominique, Mehlig, Kirsten, Nagel, Dorothea, Norman, Paul E., Almeida, Osvaldo, Flicker, Leon, Hata, Jun, Honda, Takanori, Furuta, Yoshihiko, Iso, Hiroyasu, Kitamura, Akihiko, Muraki, Isao, Salonen, Jukka T., Tuomainen, Tomi-Pekka, van Zutphen, E. M., van Schoor, N. M., Donfrancesco, Chiara, Lo Noce, Cinzia, Palmieri, Luigi, Cushman, Mary, Kronmal, Richard, Koenig, Wolfgang, Meisinger, Christa, Lappas, Georg, Nilsson, Peter M., Melander, Olle, Hedblad, Bo, Nitsch, Dorothea, Cooper, Jackie A., Shaffer, Jonathan, Schwartz, Joseph, Shimbo, Daichi, Sato, Shinichi, Iso, Hiroyasu, Hayama-Terada, Mina, Jassal, Simerjot, Aspelund, Thor, Thorsson, Bolli, Sigurdsson, Gunnar, Chaker, Layal, Ikram, Kamran M., Kavousi, Maryam, Tunstall-Pedoe, Hugh, Woodward, Mark, Völzke, Henry, Can, Günay, Yüksel, Hüsniye, Özkan, Uğur, Nakagawa, Hideaki, Morikawa, Yuko, Ishizaki, Masao, Ärnlöv, Johan, Arndt, Volker, Feskens, Edith, Geleijnse, Johanna M, and Kromhout, Daan

Published
2022
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8. 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

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 SH3PXD2Aand FURIN) and variants (such as at GRK5and 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.

Published
2022
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9. Variants in the GPR146Gene Are Associated With a Favorable Cardiometabolic Risk Profile

Author

Rimbert, Antoine, Yeung, Ming W., Dalila, Nawar, Thio, Chris H.L., Yu, Haojie, Loaiza, Natalia, Oldoni, Federico, van der Graaf, Adriaan, Wang, Siqi, Said, M. Abdullah, Blauw, Lisanne L., Girardeau, Aurore, Bray, Lise, Caillaud, Amandine, Bloks, Vincent W., Marrec, Marie, Moulin, Philippe, Rensen, Patrick C.N., van de Sluis, Bart, Snieder, Harold, Di Filippo, Mathilde, van der Harst, Pim, Tybjaerg-Hansen, Anne, Zimmerman, Philip, Cariou, Bertrand, and Kuivenhoven, Jan Albert

Published
2022
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10. Total mortality by elevated transferrin saturation in patients with diabetes

Author

Ellervik, Christina, Andersen, Henrik Ullits, Tybjaerg-Hansen, Anne, Frandsen, Merete, Birgens, Henrik, Nordestgaard, Borge G., and Mandrup-Poulsen, Thomas

Subjects
Mortality -- Denmark, Diabetes -- Genetic aspects -- Prognosis -- Patient outcomes, Diabetics -- Prognosis -- Patient outcomes, Transferrin, Health, European Association for the Study of Diabetes
Abstract

OBJECTIVE--It is not known to what extent iron overload predicts prognosis in patients with diabetes after diagnosis or whether iron overload is a risk factor independent of the HFE genotype. [...]

Published
2013
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11. ABC transporter genes and risk of type 2 diabetes: a study of 40,000 individuals from the general population

Author

Schou, Jesper, Tybjaerg-Hansen, Anne, Moller, Holger J., Nordestgaard, Borge G., and Frikke-Schmidt, Ruth

Subjects
Denmark -- Health aspects, Blood cholesterol -- Measurement -- Health aspects, Population genetics -- Research, Genetic variation -- Identification and classification, Type 2 diabetes -- Risk factors, Health
Abstract

OBJECTIVE--Alterations of pancreatic β-cell cholesterol content may contribute to β-cell dysfunction. Two important determinants of intracellular cholesterol content are the ATP-binding cassette (ABC) transporters A1 (ABCA1) and -G1 (ABCG1). Whether [...]

Published
2012
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12. Penetrance of NOD2/CARD15 genetic variants in the general population

Author

Yazdanyar, Shiva, Kamstrup, Pia R., Tybjaerg-Hansen, Anne, and Nordestgaard, Borge G.

Subjects
Genetic variation -- Research, Crohn's disease -- Genetic aspects -- Analysis -- Risk factors -- Demographic aspects -- Research, Health
Abstract

Background: In case-control studies of Europeans, heterozygosity for Arg702Trp(rs2066844), Gly908Arg(rs2066845) and Leu1007fsinsC(rs5743293) on the NOD2/CARD15 gene is associated with a 2-fold greater risk of Crohn disease, whereas homozygosity or compound heterozygosity is associated with a 17-fold greater risk. However, the importance of these genetic variants if identified in particular individuals within the general population is unknown. We undertook this study to estimate the penetrance of these variants in the general population. Methods: We genotyped 43 596 individuals from the Danish general population followed between January 1976 and July 2007. Using a logistic regression model, we estimated the risk of Crohn disease in relation to variants of the NOD2/CARD15 gene in the general population. Penetrance was calculated as the fraction of participants in whom Crohn disease was diagnosed before age 50 years. Results: In the general population, 89% of participants were noncarriers of the genetic variants of interest (n = 38 594), 11% were heterozygotes (n = 4838), and 0.4% were compound heterozygtes or homozygotes (n = 164). For Crohn disease, multifactorially adjusted odds ratios were 1.2 (95% confidence interval [CI] 0.8-1.9) for heterozygotes and 3.3 (95% CI 0.8-13.6) for compound heterozygotes and homozygotes combined, relative to noncarriers. Only 2 compound heterozygotes received a diagnosis of Crohn disease, and this disease was not diagnosed in any of the homozygotes. The penetrance at age 50 years of NOD2/CARD15 genetic variants of Crohn disease was 0.30% (95% CI 0.29%-0.31%) for heterozygotes and 1.5% (95% CI 1.4%1.6%) for compound heterzygotes and homozygotes. Interpretation: The penetrance of NOD2/CARD15 genetic variants in relation to risk of Crohn disease for this Danish population was lower than might have been expected from previous European case-control studies. This should be considered when advising healthy individuals in whom these genetic variants are identified., Crohn disease and ulcerative colitis are closely related inflammatory bowel diseases characterized by dysregulation of the mucosal immune response of the gut. (1) An estimated 2.2 million people in Europe [...]

Published
2010
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13. C-reactive protein and the risk of cancer: a mendelian randomization study

Author

Allin, Kristine H., Nordestgaard, Barge G., Zacho, Jeppe, Tybjaerg-Hansen, Anne, and Bojesen, Stig E.

Subjects
Cancer -- Risk factors, Cancer -- Genetic aspects, Cancer -- Research, C-reactive protein -- Health aspects, C-reactive protein -- Genetic aspects, Single nucleotide polymorphisms -- Health aspects, Health
Abstract

Elevated plasma levels of C-reactive protein (CLIP), a marker of inflammation, are associated with an increased risk of cancer, but it is unclear whether this association is causal. We examined whether four common single-nucleotide polymorphisms (SNPs) in the CRP gene that are associated with altered plasma CRP levels are causally associated with an increased risk of cancer. The study population included participants in a prospective study (n = 10215) and a cross-sectional study (n = 36403) of the adult general population in Denmark, all of whom were genotyped for the CRP SNPs. The association between plasma CRP levels measured by a high-sensitivity turbidimetry assay and the risk of cancer was examined for 8224 participants in the prospective study. The hazard ratio of cancer for a doubling of the plasma CRP level was 1.09 (95% confidence interval [CI] = 1.03 to 1.14). The nine most common genotype combinations of the four CRP SNPs were associated with up to a 72% increase (95% CI = 58% to 87%) in CRP levels but not with an increased risk of cancer. The estimated causal odds ratio for cancer associated with a genetically induced doubling in CRP level was 0.94 (95% CI = 0.81 to 1.08). This finding suggests that elevated CRP levels do not cause cancer. J Natl Cancer Inst 2010;102:202-206 DOI: 10.1093/jnci/djp459

Published
2010

14. New insights into the genetic etiology of Alzheimer’s disease and related dementias

Author

Bellenguez, Céline, Küçükali, Fahri, Jansen, Iris E., Kleineidam, Luca, Moreno-Grau, Sonia, Amin, Najaf, Naj, Adam C., Campos-Martin, Rafael, Grenier-Boley, Benjamin, Andrade, Victor, Holmans, Peter A., Boland, Anne, Damotte, Vincent, van der Lee, Sven J., Costa, Marcos R., Kuulasmaa, Teemu, Yang, Qiong, de Rojas, Itziar, Bis, Joshua C., Yaqub, Amber, Prokic, Ivana, Chapuis, Julien, Ahmad, Shahzad, Giedraitis, Vilmantas, Aarsland, Dag, Garcia-Gonzalez, Pablo, Abdelnour, Carla, Alarcón-Martín, Emilio, Alcolea, Daniel, Alegret, Montserrat, Alvarez, Ignacio, Álvarez, Victoria, Armstrong, Nicola J., Tsolaki, Anthoula, Antúnez, Carmen, Appollonio, Ildebrando, Arcaro, Marina, Archetti, Silvana, Pastor, Alfonso Arias, Arosio, Beatrice, Athanasiu, Lavinia, Bailly, Henri, Banaj, Nerisa, Baquero, Miquel, Barral, Sandra, Beiser, Alexa, Pastor, Ana Belén, Below, Jennifer E., Benchek, Penelope, Benussi, Luisa, Berr, Claudine, Besse, Céline, Bessi, Valentina, Binetti, Giuliano, Bizarro, Alessandra, Blesa, Rafael, Boada, Mercè, Boerwinkle, Eric, Borroni, Barbara, Boschi, Silvia, Bossù, Paola, Bråthen, Geir, Bressler, Jan, Bresner, Catherine, Brodaty, Henry, Brookes, Keeley J., Brusco, Luis Ignacio, Buiza-Rueda, Dolores, Bûrger, Katharina, Burholt, Vanessa, Bush, William S., Calero, Miguel, Cantwell, Laura B., Chene, Geneviève, Chung, Jaeyoon, Cuccaro, Michael L., Carracedo, Ángel, Cecchetti, Roberta, Cervera-Carles, Laura, Charbonnier, Camille, Chen, Hung-Hsin, Chillotti, Caterina, Ciccone, Simona, Claassen, Jurgen A. H. R., Clark, Christopher, Conti, Elisa, Corma-Gómez, Anaïs, Costantini, Emanuele, Custodero, Carlo, Daian, Delphine, Dalmasso, Maria Carolina, Daniele, Antonio, Dardiotis, Efthimios, Dartigues, Jean-François, de Deyn, Peter Paul, de Paiva Lopes, Katia, de Witte, Lot D., Debette, Stéphanie, Deckert, Jürgen, del Ser, Teodoro, Denning, Nicola, DeStefano, Anita, Dichgans, Martin, Diehl-Schmid, Janine, Diez-Fairen, Mónica, Rossi, Paolo Dionigi, Djurovic, Srdjan, Duron, Emmanuelle, Düzel, Emrah, Dufouil, Carole, Eiriksdottir, Gudny, Engelborghs, Sebastiaan, Escott-Price, Valentina, Espinosa, Ana, Ewers, Michael, Faber, Kelley M., Fabrizio, Tagliavini, Nielsen, Sune Fallgaard, Fardo, David W., Farotti, Lucia, Fenoglio, Chiara, Fernández-Fuertes, Marta, Ferrari, Raffaele, Ferreira, Catarina B., Ferri, Evelyn, Fin, Bertrand, Fischer, Peter, Fladby, Tormod, Fließbach, Klaus, Fongang, Bernard, Fornage, Myriam, Fortea, Juan, Foroud, Tatiana M., Fostinelli, Silvia, Fox, Nick C., Franco-Macías, Emlio, Bullido, María J., Frank-García, Ana, Froelich, Lutz, Fulton-Howard, Brian, Galimberti, Daniela, García-Alberca, Jose Maria, García-González, Pablo, Garcia-Madrona, Sebastian, Garcia-Ribas, Guillermo, Ghidoni, Roberta, Giegling, Ina, Giorgio, Giaccone, Goate, Alison M., Goldhardt, Oliver, Gomez-Fonseca, Duber, González-Pérez, Antonio, Graff, Caroline, Grande, Giulia, Green, Emma, Grimmer, Timo, Grünblatt, Edna, Grunin, Michelle, Gudnason, Vilmundur, Guetta-Baranes, Tamar, Haapasalo, Annakaisa, Hadjigeorgiou, Georgios, Haines, Jonathan L., Hamilton-Nelson, Kara L., Hampel, Harald, Hanon, Olivier, Hardy, John, Hartmann, Annette M., Hausner, Lucrezia, Harwood, Janet, Heilmann-Heimbach, Stefanie, Helisalmi, Seppo, Heneka, Michael T., Hernández, Isabel, Herrmann, Martin J., Hoffmann, Per, Holmes, Clive, Holstege, Henne, Vilas, Raquel Huerto, Hulsman, Marc, Humphrey, Jack, Biessels, Geert Jan, Jian, Xueqiu, Johansson, Charlotte, Jun, Gyungah R., Kastumata, Yuriko, Kauwe, John, Kehoe, Patrick G., Kilander, Lena, Ståhlbom, Anne Kinhult, Kivipelto, Miia, Koivisto, Anne, Kornhuber, Johannes, Kosmidis, Mary H., Kukull, Walter A., Kuksa, Pavel P., Kunkle, Brian W., Kuzma, Amanda B., Lage, Carmen, Laukka, Erika J., Launer, Lenore, Lauria, Alessandra, Lee, Chien-Yueh, Lehtisalo, Jenni, Lerch, Ondrej, Lleó, Alberto, Longstreth, William, Lopez, Oscar, de Munain, Adolfo Lopez, Love, Seth, Löwemark, Malin, Luckcuck, Lauren, Lunetta, Kathryn L., Ma, Yiyi, Macías, Juan, MacLeod, Catherine A., Maier, Wolfgang, Mangialasche, Francesca, Spallazzi, Marco, Marquié, Marta, Marshall, Rachel, Martin, Eden R., Montes, Angel Martín, Rodríguez, Carmen Martínez, Masullo, Carlo, Mayeux, Richard, Mead, Simon, Mecocci, Patrizia, Medina, Miguel, Meggy, Alun, Mehrabian, Shima, Mendoza, Silvia, Menéndez-González, Manuel, Mir, Pablo, Moebus, Susanne, Mol, Merel, Molina-Porcel, Laura, Montrreal, Laura, Morelli, Laura, Moreno, Fermin, Morgan, Kevin, Mosley, Thomas, Nöthen, Markus M., Muchnik, Carolina, Mukherjee, Shubhabrata, Nacmias, Benedetta, Ngandu, Tiia, Nicolas, Gael, Nordestgaard, Børge G., Olaso, Robert, Orellana, Adelina, Orsini, Michela, Ortega, Gemma, Padovani, Alessandro, Paolo, Caffarra, Papenberg, Goran, Parnetti, Lucilla, Pasquier, Florence, Pastor, Pau, Peloso, Gina, Pérez-Cordón, Alba, Pérez-Tur, Jordi, Pericard, Pierre, Peters, Oliver, Pijnenburg, Yolande A. L., Pineda, Juan A., Piñol-Ripoll, Gerard, Pisanu, Claudia, Polak, Thomas, Popp, Julius, Posthuma, Danielle, Priller, Josef, Puerta, Raquel, Quenez, Olivier, Quintela, Inés, Thomassen, Jesper Qvist, Rábano, Alberto, Rainero, Innocenzo, Rajabli, Farid, Ramakers, Inez, Real, Luis M., Reinders, Marcel J. T., Reitz, Christiane, Reyes-Dumeyer, Dolly, Ridge, Perry, Riedel-Heller, Steffi, Riederer, Peter, Roberto, Natalia, Rodriguez-Rodriguez, Eloy, Rongve, Arvid, Allende, Irene Rosas, Rosende-Roca, Maitée, Royo, Jose Luis, Rubino, Elisa, Rujescu, Dan, Sáez, María Eugenia, Sakka, Paraskevi, Saltvedt, Ingvild, Sanabria, Ángela, Sánchez-Arjona, María Bernal, Sanchez-Garcia, Florentino, Juan, Pascual Sánchez, Sánchez-Valle, Raquel, Sando, Sigrid B., Sarnowski, Chloé, Satizabal, Claudia L., Scamosci, Michela, Scarmeas, Nikolaos, Scarpini, Elio, Scheltens, Philip, Scherbaum, Norbert, Scherer, Martin, Schmid, Matthias, Schneider, Anja, Schott, Jonathan M., Selbæk, Geir, Seripa, Davide, Serrano, Manuel, Sha, Jin, Shadrin, Alexey A., Skrobot, Olivia, Slifer, Susan, Snijders, Gijsje J. L., Soininen, Hilkka, Solfrizzi, Vincenzo, Solomon, Alina, Song, Yeunjoo, Sorbi, Sandro, Sotolongo-Grau, Oscar, Spalletta, Gianfranco, Spottke, Annika, Squassina, Alessio, Stordal, Eystein, Tartan, Juan Pablo, Tárraga, Lluís, Tesí, Niccolo, Thalamuthu, Anbupalam, Thomas, Tegos, Tosto, Giuseppe, Traykov, Latchezar, Tremolizzo, Lucio, Tybjærg-Hansen, Anne, Uitterlinden, Andre, Ullgren, Abbe, Ulstein, Ingun, Valero, Sergi, Valladares, Otto, Broeckhoven, Christine Van, Vance, Jeffery, Vardarajan, Badri N., van der Lugt, Aad, Dongen, Jasper Van, van Rooij, Jeroen, van Swieten, John, Vandenberghe, Rik, Verhey, Frans, Vidal, Jean-Sébastien, Vogelgsang, Jonathan, Vyhnalek, Martin, Wagner, Michael, Wallon, David, Wang, Li-San, Wang, Ruiqi, Weinhold, Leonie, Wiltfang, Jens, Windle, Gill, Woods, Bob, Yannakoulia, Mary, Zare, Habil, Zhao, Yi, Zhang, Xiaoling, Zhu, Congcong, Zulaica, Miren, Farrer, Lindsay A., Psaty, Bruce M., Ghanbari, Mohsen, Raj, Towfique, Sachdev, Perminder, Mather, Karen, Jessen, Frank, Ikram, M. Arfan, de Mendonça, Alexandre, Hort, Jakub, Tsolaki, Magda, Pericak-Vance, Margaret A., Amouyel, Philippe, Williams, Julie, Frikke-Schmidt, Ruth, Clarimon, Jordi, Deleuze, Jean-François, Rossi, Giacomina, Seshadri, Sudha, Andreassen, Ole A., Ingelsson, Martin, Hiltunen, Mikko, Sleegers, Kristel, Schellenberg, Gerard D., van Duijn, Cornelia M., Sims, Rebecca, van der Flier, Wiesje M., Ruiz, Agustín, Ramirez, Alfredo, and Lambert, Jean-Charles

Abstract

Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOEε4 allele.

Published
2022
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16. Factor V Leiden and the risk for venous thromboembolism in the adult Danish population

Author

Juul, Klaus, Tybjaerg-Hansen, Anne, Schnohr, Peter, and Nordestgaard, Borge G.

Subjects
Danes -- Health aspects, Thromboembolism -- Risk factors, Heterozygosis -- Risk factors, Health
Abstract

The main purpose was to estimate hazard ratios for venous thromboembolism in factor V Leiden heterozygotes and homozygotes in the adult Danish population and for that 9253 individuals participated. The conclusion is that the hazard ratios for venous thromboembolism in factor V Leiden heterozygotes and homozygotes compared with non-carriers in the adult Danish population are approximately 3 and 18.

Published
2004

17. Integrin [[beta].sub.3] Leu33Pro homozygosity and risk of cancer

Author

Bojesen, Stig E., Tybjaerg-Hansen, Anne, and Nordestgaard, Borge G.

Subjects
Cancer -- Risk factors, Cancer -- Genetic aspects, Health
Abstract

Background: Increased tumor cell expression of integrins containing the [[beta].sub.3] subunit is associated with increased progression to invasive tumors, whereas inhibition of [[beta].sub.3] integrin expression and/or function may reduce tumor growth and metastasis. The Leu33Pro polymorphism of the [[beta].sub.3] subunit modulates the function of [[alpha].sub.IIb][[beta].sub.3] integrin. We examined whether this polymorphism influences cancer risk. Methods: Using participants (n = 9242) from the Copenhagen City Heart Study with 24 years of follow-up and endpoints from the Danish Cancer Registry, we assessed the risk of all cancers and of 27 cancer types in individuals who carry the Leu33Pro polymorphism (heterozygotes and homozygotes) relative to those without the polymorphism (non-carriers). Relative risks (RRs) of cancer and 95% confidence intervals (CIs) were calculated by Cox proportional hazards regression analysis. Differences in cumulative cancer incidence (per 10 000 person-years) were tested using log-rank statistics. Statistical tests were two-sided. Results: Among the participants, 70.0% were non-carriers, 27.3% were heterozygotes, and 2.7% were homozygotes. We detected 1296 participants with a first cancer. Cumulative incidences in non-carriers, heterozygotes, and homozygotes were 81, 83, and 112, respectively (homozygotes versus non-carriers, P = .02). The age-adjusted RR of all cancers in homozygotes relative to non-carriers was 1.4 (95% CI = 1.1 to 1.9). Incidences in non-carriers, heterozygotes, and homozygotes were 3, 4, and 16 for ovarian cancer; 19, 24, and 36 for breast cancer; and 2, 3, and 7 for melanoma (homozygotes versus non-carriers; P = .002, P = .06, and P = .03, respectively). The age-adjusted RR in homozygotes relative to non-carriers was 4.7 (95% CI = 1.6 to 14) for ovarian cancer, 1.9 (95% CI = 1.0 to 3.7) for breast cancer, and 3.5 (95% CI = 1.1 to 12) for melanoma. Adjustment for other cancer risk factors did not alter these results. Heterozygotes did not differ from non-carriers with respect to cancer risk. Conclusion: Individuals homozygous for the Leu33Pro polymorphism of the [[beta].sub.3] integrin subunit have an increased cancer risk.

Published
2003

19. Long-term Benefits and Harms Associated With Genetic Cholesteryl Ester Transfer Protein Deficiency in the General Population

Author

Nordestgaard, Liv Tybjærg, Christoffersen, Mette, Lauridsen, Bo Kobberø, Afzal, Shoaib, Nordestgaard, Børge Grønne, Frikke-Schmidt, Ruth, and Tybjærg-Hansen, Anne

Abstract

IMPORTANCE: The balance between the potential long-term clinical benefits and harms associated with genetic cholesteryl ester transfer protein (CETP) deficiency, mimicking pharmacologic CETP inhibition, is unknown. OBJECTIVE: To assess the relative benefits and harms associated with genetic CETP deficiency. DESIGN, SETTING, AND PARTICIPANTS: This study examined 2 similar prospective cohorts of the Danish general population, with data on a total of 102 607 participants collected from October 10, 1991, through December 7, 2018. EXPOSURES: Weighted CETP allele scores. MAIN OUTCOMES AND MEASURES: Incident cardiovascular mortality, ischemic heart disease, myocardial infarction, ischemic stroke, peripheral arterial disease, vascular dementia, Alzheimer disease, all-cause mortality, and age-related macular degeneration (AMD). The study first tested whether a CETP allele score was associated with morbidity and mortality, when scaled to genetically lower levels of non–high-density lipoprotein (HDL) cholesterol (ie, 17 mg/dL), corresponding to the reduction observed for anacetrapib vs placebo in the Randomized Evaluation of the Effects of Anacetrapib Through Lipid-Modification (REVEAL) trial. Second, the study assessed how much of the change in morbidity and mortality was associated with genetically lower levels of non-HDL cholesterol. Finally, the balance between the potential long-term clinical benefits and harms associated with genetic CETP deficiency was quantified. For AMD, the analyses also included higher levels of HDL cholesterol associated with genetic CETP deficiency. RESULTS: Of 102 607 individuals in the study, 56 559 (55%) were women (median age, 58 years [IQR, 47-67 years]). Multivariable adjusted hazard ratios showed that a genetically lower level of non-HDL cholesterol (ie, 17 mg/dL) was associated with a lower risk of cardiovascular mortality (hazard ratio [HR], 0.77 [95% CI, 0.62-0.95]), ischemic heart disease (HR, 0.80 [95% CI, 0.68-0.95]), myocardial infarction (HR, 0.72 [95% CI, 0.55-0.93]), peripheral arterial disease (HR, 0.80 [95% CI, 0.63-1.02]), and vascular dementia (HR, 0.38 [95% CI, 0.18-0.80]) and an increased risk of AMD (HR, 2.33 [95% CI, 1.63-3.30]) but was not associated with all-cause mortality (HR, 0.91 [95% CI, 0.81-1.02]), ischemic stroke (HR, 1.05 [95% CI, 0.81-1.36]), or Alzheimer disease (HR, 1.25 [95% CI, 0.89-1.76]). When scaled to a higher level of HDL cholesterol, the increased risk of AMD was even larger. A considerable fraction of the lower risk of cardiovascular end points was associated with genetically lower levels of non-HDL cholesterol, while the higher risk of AMD was associated with genetically higher levels of HDL cholesterol. Per 1 million person-years, the projected 1916 more AMD events associated with genetically higher levels of HDL cholesterol was similar to the 1962 fewer events of cardiovascular mortality and myocardial infarction combined associated with genetically lower levels of non-HDL cholesterol. CONCLUSIONS AND RELEVANCE: This study suggests that genetic CETP deficiency, mimicking pharmacologic CETP inhibition, was associated with a lower risk of cardiovascular morbidity and mortality, but with a markedly higher risk of AMD.

Published
2022
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20. Change in lung function and morbidity from chronic obstructive pulmonary disease in alpha(sub 1)-antitrypsin MZ heterozygotes: a longitudinal study of the general population

Author

Dahl, Morten, Tybjaerg-Hansen, Anne, Lange, Peter, Vestbo, Jorgen, and Nordestgaard, Borge G.

Subjects
Lung diseases, Obstructive -- Genetic aspects, Alpha 1-antitrypsin deficiency -- Health aspects, Health
Abstract

Background: A deteriorating effect of severe alpha(sub 1)-antitrypsin deficiency (ZZ genotype) on lung function is well known, whereas the role of intermediate deficiency (MZ genotype) remains uncertain. Objective: To test the hypothesis that MZ intermediate alpha(sub 1)-antitrypsin deficiency affects pulmonary function and disease. Design: Population-based cohort study with 21-year follow-up. Setting: Copenhagen, Denmark. Participants: 9187 adults randomly selected from the Danish general population. Measurements: Plasma alpha(sub 1)-antitrypsin levels, annual decrease in FEV(sub 1), airway obstruction, and hospitalization and mortality from chronic obstructive pulmonary disease (COPD). Results: 451 participants (4.9%) carried the MZ genotype. Plasma alpha(sub 1)-antitrypsin levels were 31% lower in MZ heterozygotes than in persons with the MM genotype (Student t-test, P Conclusions: MZ heterozygotes had a slightly greater rate of decrease in FEV(sub 1) and were modestly over-represented among persons with airway obstructions and COPD. In the population at large, MZ heterozygosity may account for a fraction of COPD cases on the order of 2%, similar to the percentage of persons with COPD who have the severe but rare ZZ genotype.

Published
2002

21. ACE gene polymorphism as a risk factor for ischemic cerebrovascular disease

Author

Agerholm-Larsen, Birgit, Tybjaerg-Hansen, Anne, Frikke-Schmidt, Ruth, Gronholdt, Marie-Louise M., Jensen, Gorm, and Nordestgaard, Borge G.

Subjects
Angiotensin converting enzyme -- Genetic aspects, Genetic polymorphisms -- Health aspects, Stroke (Disease) -- Risk factors, Cerebrovascular disease -- Risk factors, Health
Abstract

Background: Researchers have suggested that the deletional allele of the ACE (angiotensin-converting enzyme) gene insertion-deletion polymorphism is a potent risk factor for myocardial infarction. This association could not be confirmed in the Copenhagen City Heart Study, in which 10 150 persons were studied. The ACE gene polymorphism has also recently been suggested as a potent risk factor for ischemic cerebrovascular disease. Objective: To investigate the association between ACE gene polymorphism and ischemic cerebrovascular disease. Design: Two case-referent studies and a cross-sectional study. Setting: University hospital in Copenhagen, Denmark. Participants: Case-referent study 1: 35 women and 38 men who developed ischemic cerebrovascular disease before 50 years of age compared with 1454 women and 1737 men from a general population sample. Case-referent study 2: 82 women and 137 men with ischemic cerebrovascular disease and carotid stenosis greater than 40% compared with 4273 women and 3091 men from the general population sample. Cross-sectional study of the general population sample: 67 women and 93 men with ischemic cerebrovascular disease compared with 4077 women and 3156 men without such disease. Measurements: Genotype; age; body mass index; smoking habits; levels of lipids, lipoproteins, apolipoproteins, and fibrinogen; and diagnosis of hypertension, diabetes mellitus, and ischemic cerebrovascular disease. Results: Odds ratios for ischemic cerebrovascular disease by ACE genotype classes were not significantly different from 1.0 in women or men in any of the three studies, separately or combined. In a logistic regression analysis that controlled for age and conventional cardiovascular risk factors, odds ratios in either sex still did not significantly differ from 1.0 in any study, separately or combined. Conclusion: In two case-referent studies, a cross-sectional study, and the three studies combined, no statistically significant difference was found in the development of ischemic cerebrovascular disease between genotype classes of the ACE gene polymorphism in women or men., There does not appear to be a link between different genetic forms of the angiotensin-converting enzyme (ACE) gene and risk for strokes among men or women. Genetic tests were performed on 9,495 people including 452 patients who had had strokes or brain vessel disease. Overall, patients carrying one ACE gene form were at no greater risk for stroke than those carrying any of the other ACE gene forms. Comparisons made by age, gender, and added vessel risk factors resulted in similar findings.

Published
1997

23. Elevated transferrin saturation and risk of diabetes: three population-based studies

Author

Ellervik, Christina, Mandrup-Poulsen, Thomas, Andersen, Henrik Ullits, Tybjaerg-Hansen, Anne, Frandsen, Merete, Birgens, Henrik, and Nordestgaard, Borge G.

Subjects
Diabetes therapy, Diabetes -- Research, Diabetics, Type 2 diabetes -- Research -- Risk factors, Transferrin, Health
Abstract

OBJECTIVE--We tested the hypothesis that elevated transferrin saturation is associated with an increased risk of any form of diabetes, as well as type 1 or type 2 diabetes separately. RESEARCH [...]

Published
2011
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24. Linkage analysis of maturity-onset diabetes of the young with microsatellite polymorphism: no linkage to ADA or GLUT2 genes in two families

Author

Patel, Pushpa, Lo, Y.-M. Dennis, Hattersley, Andrew, Bell, Graeme I., Tybjaerg-Hansen, Anne, Nerup, Jorn, Turner, Robert C., and Wainscoat, James S.

Subjects
Genetic polymorphisms -- Research -- Genetic aspects, Type 2 diabetes -- Genetic aspects -- Research, Health, Research, Genetic aspects
Abstract

MODY is a form of NIDDM inherited as an autosomal dominant condition. We studied the linkage of MODY to two loci: ADA and GLUT2 in two large pedigrees with nonradioactive [...]

Published
1992

25. Association of Low Plasma Transthyretin Concentration With Risk of Heart Failure in the General Population

Author

Greve, Anders M., Christoffersen, Mette, Frikke-Schmidt, Ruth, Nordestgaard, Børge G., and Tybjærg-Hansen, Anne

Abstract

IMPORTANCE: Several lines of evidence support low plasma transthyretin concentration as an in vivo biomarker of transthyretin tetramer instability, a prerequisite for the development of both wild-type transthyretin cardiac amyloidosis (ATTRwt) and hereditary transthyretin cardiac amyloidosis (ATTRm). Both ATTRm and ATTRwt cardiac amyloidosis may manifest as heart failure (HF). However, whether low plasma transthyretin concentration confers increased risk of incident HF in the general population is unknown. OBJECTIVE: To evaluate whether low plasma transthyretin concentration is associated with incident HF in the general population. DESIGN, SETTING, AND PARTICIPANTS: This study included data from 2 similar prospective cohort studies of the Danish general population, the Copenhagen General Population Study (CGPS; n = 9582) and the Copenhagen City Heart Study (CCHS; n = 7385). Using these data, first, whether low concentration of plasma transthyretin was associated with increased risk of incident HF was tested. Second, whether genetic variants in TTR associated with increasing tetramer instability were associated with lower transthyretin concentration and with higher risk of HF was tested. Data were collected from November 2003 to March 2017 in the CGPS and from November 1991 to June 1994 in the CCHS; participants from both studies were observed for survival time end points until March 2017. Data were analyzed from March to June 2019. EXPOSURES: Transthyretin concentration at or below the 5th percentile, between the 5th and 95th percentile (reference), and greater than the 95th percentile; genetic variants in TTR. MAIN OUTCOME AND MEASURE: Incident HF identified using the Danish National Patient Registry. RESULTS: Of 9582 individuals in the CGPS, 5077 (53.0%) were women, and the median (interquartile range [IQR]) age was 56 (47-65) years. Of 7385 individuals in the CCHS, 4452 (60.3%) were women, and the median (IQR) age was 59 (46-70) years. During a median (IQR) follow-up of 12.6 (12.3-12.9) years and 21.7 (11.6-23.8) years, 441 individuals (4.6%) in the CGPS and 1122 individuals (15.2%) in the CCHS, respectively, developed HF. Baseline plasma transthyretin concentrations at or below the 5th percentile were associated with incident HF (CGPS: hazard ratio [HR], 1.6; 95% CI, 1.1-2.4; CCHS: HR, 1.4; 95% CI, 1.1-1.7). Risk of HF was highest in men with low transthyretin levels. Compared with p.T139M, a transthyretin-stabilizing variant, TTR genotype was associated with stepwise lower transthyretin concentrations for wild-type TTR (−16.5%), p.G26S (−18.1%), and heterozygotes for other variants (p.V142I, p.H110N, and p.D119N; −30.8%) (P for trend &lt;.001). The corresponding HRs for incident HF were 1.14 (95% CI, 0.57-2.28), 1.29 (95% CI, 0.64-2.61), and 2.04 (95% CI, 0.54-7.67), respectively (P for trend = .04). CONCLUSIONS AND RELEVANCE: In this study, lower plasma and genetically determined transthyretin concentrations were associated with a higher risk of incident HF, suggesting a potential mechanistic association between low transthyretin concentration as a marker of tetramer instability and incident HF in the general population.

Published
2021
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30. Postprandial Hypertriglyceridaemia Revisited in the Era of Non-Fasting Lipid Profile Testing: A 2019 Expert Panel Statement, Narrative Review

Author

Kolovou, Genovefa D., Watts, Gerald F., Mikhailidis, Dimitri P., Pérez-Martínez, Pablo, Mora, Samia, Bilianou, Helen, Panotopoulos, George, Katsiki, Niki, Ooi, Teik C., Lopez-Miranda, José, Tybjærg-Hansen, Anne, Tentolouris, Nicholas, and Nordestgaard, Børge G.

Abstract

Postprandial hypertriglyceridaemia, defined as an increase in plasma triglyceride-containing lipoproteins following a fat meal, is a potential risk predictor of atherosclerotic cardiovascular disease and other chronic diseases. Several non-modifiable factors (genetics, age, sex and menopausal status) and lifestyle factors (diet, physical activity, smoking status, obesity, alcohol and medication use) may influence postprandial hypertriglyceridaemia. This narrative review considers the studies published over the last decade that evaluated postprandial hypertriglyceridaemia. Additionally, the genetic determinants of postprandial plasma triglyceride levels, the types of meals for studying postprandial triglyceride response, and underlying conditions (e.g. familial dyslipidaemias, diabetes mellitus, metabolic syndrome, non-alcoholic fatty liver and chronic kidney disease) that are associated with postprandial hypertriglyceridaemia are reviewed; therapeutic aspects are also considered.

Published
2019
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31. Postprandial Hypertriglyceridaemia Revisited in the Era of Non-Fasting Lipid Profile Testing: A 2019 Expert Panel Statement, Main Text

Author

Kolovou, Genovefa D., Watts, Gerald F., Mikhailidis, Dimitri P., Pérez-Martínez, Pablo, Mora, Samia, Bilianou, Helen, Panotopoulos, George, Katsiki, Niki, Ooi, Teik C., Lopez-Miranda, José, Tybjærg-Hansen, Anne, Tentolouris, Nicholas, and Nordestgaard, Børge G.

Abstract

Residual vascular risk exists despite the aggressive lowering of Low-Density Lipoprotein Cholesterol (LDL-C). A contributor to this residual risk may be elevated fasting, or non-fasting, levels of Triglyceride (TG)-rich lipoproteins. Therefore, there is a need to establish whethe a standardised Oral Fat Tolerance Test (OFTT) can improve atherosclerotic Cardiovascular (CV) Disease (ASCVD) risk prediction in addition to a fasting or non-fasting lipid profile. An expert panel considered the role of postprandial hypertriglyceridaemia (as represented by an OFTT) in predicting ASCVD. The panel updated its 2011 statement by considering new studies and various patient categories. The recommendations are based on expert opinion since no strict endpoint trials have been performed. Individuals with fasting TG concentration <1 mmol/L (89 mg/dL) commonly do not have an abnormal response to an OFTT. In contrast, those with fasting TG concentration ≥2 mmol/L (175 mg/dL) or nonfasting ≥2.3 mmol/L (200 mg/dL) will usually have an abnormal response. We recommend considering postprandial hypertriglyceridaemia testing when fasting TG concentrations and non-fasting TG concentrations are 1-2 mmol/L (89-175 mg/dL) and 1.3-2.3 mmol/L (115-200 mg/dL), respectively as an additional investigation for metabolic risk prediction along with other risk factors (obesity, current tobacco abuse, metabolic syndrome, hypertension, and diabetes mellitus). The panel proposes that an abnormal TG response to an OFTT (consisting of 75 g fat, 25 g carbohydrate and 10 g proteins) is >2.5 mmol/L (220 mg/dL). Postprandial hypertriglyceridaemia is an emerging factor that may contribute to residual CV risk. This possibility requires further research. A standardised OFTT will allow comparisons between investigational studies. We acknowledge that the OFTT will be mainly used for research to further clarify the role of TG in relation to CV risk. For routine practice, there is a considerable support for the use of a single non-fasting sample.

Published
2019
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32. Causal Associations in Type 2 Diabetes Development.

Author

Marott, Sarah C W, Nordestgaard, Børge G, Tybjærg-Hansen, Anne, and Benn, Marianne

Abstract

Obesity, glucose, insulin resistance [homeostatic model assessment, version 2, for insulin resistance (HOMA2-IR)], and insulin secretion (HOMA2-β) have been associated with type 2 diabetes (T2D) observationally. However, the causal, genetic contribution of each parameter to this risk is largely unknown and important to study because observational data are prone to confounding but genetic, causal data are free of confounding and reverse causation.

Published
2019
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33. Association of LPA Variants With Risk of Coronary Disease and the Implications for Lipoprotein(a)-Lowering Therapies: A Mendelian Randomization Analysis

Author

Burgess, Stephen, Ference, Brian A., Staley, James R., Freitag, Daniel F., Mason, Amy M., Nielsen, Sune F., Willeit, Peter, Young, Robin, Surendran, Praveen, Karthikeyan, Savita, Bolton, Thomas R., Peters, James E., Kamstrup, Pia R., Tybjærg-Hansen, Anne, Benn, Marianne, Langsted, Anne, Schnohr, Peter, Vedel-Krogh, Signe, Kobylecki, Camilla J., Ford, Ian, Packard, Chris, Trompet, Stella, Jukema, J. Wouter, Sattar, Naveed, Di Angelantonio, Emanuele, Saleheen, Danish, Howson, Joanna M. M., Nordestgaard, Børge G., Butterworth, Adam S., and Danesh, John

Abstract

IMPORTANCE: Human genetic studies have indicated that plasma lipoprotein(a) (Lp[a]) is causally associated with the risk of coronary heart disease (CHD), but randomized trials of several therapies that reduce Lp(a) levels by 25% to 35% have not provided any evidence that lowering Lp(a) level reduces CHD risk. OBJECTIVE: To estimate the magnitude of the change in plasma Lp(a) levels needed to have the same evidence of an association with CHD risk as a 38.67-mg/dL (ie, 1-mmol/L) change in low-density lipoprotein cholesterol (LDL-C) level, a change that has been shown to produce a clinically meaningful reduction in the risk of CHD. DESIGN, SETTING, AND PARTICIPANTS: A mendelian randomization analysis was conducted using individual participant data from 5 studies and with external validation using summarized data from 48 studies. Population-based prospective cohort and case-control studies featured 20 793 individuals with CHD and 27 540 controls with individual participant data, whereas summarized data included 62 240 patients with CHD and 127 299 controls. Data were analyzed from November 2016 to March 2018. EXPOSURES: Genetic LPA score and plasma Lp(a) mass concentration. MAIN OUTCOMES AND MEASURES: Coronary heart disease. RESULTS: Of the included study participants, 53% were men, all were of white European ancestry, and the mean age was 57.5 years. The association of genetically predicted Lp(a) with CHD risk was linearly proportional to the absolute change in Lp(a) concentration. A 10-mg/dL lower genetically predicted Lp(a) concentration was associated with a 5.8% lower CHD risk (odds ratio [OR], 0.942; 95% CI, 0.933-0.951; P = 3 × 10−37), whereas a 10-mg/dL lower genetically predicted LDL-C level estimated using an LDL-C genetic score was associated with a 14.5% lower CHD risk (OR, 0.855; 95% CI, 0.818-0.893; P = 2 × 10−12). Thus, a 101.5-mg/dL change (95% CI, 71.0-137.0) in Lp(a) concentration had the same association with CHD risk as a 38.67-mg/dL change in LDL-C level. The association of genetically predicted Lp(a) concentration with CHD risk appeared to be independent of changes in LDL-C level owing to genetic variants that mimic the relationship of statins, PCSK9 inhibitors, and ezetimibe with CHD risk. CONCLUSIONS AND RELEVANCE: The clinical benefit of lowering Lp(a) is likely to be proportional to the absolute reduction in Lp(a) concentration. Large absolute reductions in Lp(a) of approximately 100 mg/dL may be required to produce a clinically meaningful reduction in the risk of CHD similar in magnitude to what can be achieved by lowering LDL-C level by 38.67 mg/dL (ie, 1 mmol/L).

Published
2018
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34. Naturally Occurring Variants in LRP1 (Low-Density Lipoprotein Receptor–Related Protein 1) Affect HDL (High-Density Lipoprotein) Metabolism Through ABCA1 (ATP-Binding Cassette A1) and SR-B1 (Scavenger Receptor Class B Type 1) in Humans

Author

Oldoni, Federico, van Capelleveen, Julian C., Dalila, Nawar, Wolters, Justina C., Heeren, Joerg, Sinke, Richard J., Hui, David Y., Dallinga-Thie, Geesje M., Frikke-Schmidt, Ruth, Hovingh, Kees G., van de Sluis, Bart, Tybjærg-Hansen, Anne, and Kuivenhoven, Jan Albert

Abstract

Supplemental Digital Content is available in the text.

Published
2018
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35. Advances in lipid-lowering therapy through gene-silencing technologies

Author

Nordestgaard, Børge G., Nicholls, Stephen J., Langsted, Anne, Ray, Kausik K., and Tybjærg-Hansen, Anne

Abstract

Elevated levels of LDL, remnant lipoproteins, and lipoprotein(a) all cause cardiovascular disease, whereas elevated levels of triglyceride-rich lipoproteins can cause acute pancreatitis in some individualsSmall molecule and antibody-based drugs such as statins, ezetimibe, and PCSK9 inhibitors efficiently reduce LDL-cholesterol levels and lower the risk of cardiovascular diseaseIn addition, these drugs can modestly reduce remnant lipoproteins, triglyceride-rich lipoproteins, and/or lipoprotein(a) levelsThese lipoproteins can be reduced using novel gene-silencing approaches (antisense oligonucleotide inhibition and small interfering RNA technology) by targeting proteins that have an important role in lipoprotein production or removalUsing gene-silencing approaches, plasma levels of LDL, remnant lipoproteins, lipoprotein(a), and triglyceride-rich lipoproteins can be reduced by 50–90% when treatment is administered 2–12 times yearlyEvidence of long-term safety and cardiovascular disease reduction is needed before the widespread use of gene-silencing therapies; however, these drugs might have a role in patients with rare diseases

Published
2018
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36. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Author

Mahajan, Anubha, Wessel, Jennifer, Willems, Sara M., Zhao, Wei, Robertson, Neil R., Chu, Audrey Y., Gan, Wei, Kitajima, Hidetoshi, Taliun, Daniel, Rayner, N. William, Guo, Xiuqing, Lu, Yingchang, Li, Man, Jensen, Richard A., Hu, Yao, Huo, Shaofeng, Lohman, Kurt K., Zhang, Weihua, Cook, James P., Prins, Bram Peter, Flannick, Jason, Grarup, Niels, Trubetskoy, Vassily Vladimirovich, Kravic, Jasmina, Kim, Young Jin, Rybin, Denis V., Yaghootkar, Hanieh, Müller-Nurasyid, Martina, Meidtner, Karina, Li-Gao, Ruifang, Varga, Tibor V., Marten, Jonathan, Li, Jin, Smith, Albert Vernon, An, Ping, Ligthart, Symen, Gustafsson, Stefan, Malerba, Giovanni, Demirkan, Ayse, Tajes, Juan Fernandez, Steinthorsdottir, Valgerdur, Wuttke, Matthias, Lecoeur, Cécile, Preuss, Michael, Bielak, Lawrence F., Graff, Marielisa, Highland, Heather M., Justice, Anne E., Liu, Dajiang J., Marouli, Eirini, Peloso, Gina Marie, Warren, Helen R., Afaq, Saima, Afzal, Shoaib, Ahlqvist, Emma, Almgren, Peter, Amin, Najaf, Bang, Lia B., Bertoni, Alain G., Bombieri, Cristina, Bork-Jensen, Jette, Brandslund, Ivan, Brody, Jennifer A., Burtt, Noël P., Canouil, Mickaël, Chen, Yii-Der Ida, Cho, Yoon Shin, Christensen, Cramer, Eastwood, Sophie V., Eckardt, Kai-Uwe, Fischer, Krista, Gambaro, Giovanni, Giedraitis, Vilmantas, Grove, Megan L., de Haan, Hugoline G., Hackinger, Sophie, Hai, Yang, Han, Sohee, Tybjærg-Hansen, Anne, Hivert, Marie-France, Isomaa, Bo, Jäger, Susanne, Jørgensen, Marit E., Jørgensen, Torben, Käräjämäki, Annemari, Kim, Bong-Jo, Kim, Sung Soo, Koistinen, Heikki A., Kovacs, Peter, Kriebel, Jennifer, Kronenberg, Florian, Läll, Kristi, Lange, Leslie A., Lee, Jung-Jin, Lehne, Benjamin, Li, Huaixing, Lin, Keng-Hung, Linneberg, Allan, Liu, Ching-Ti, Liu, Jun, Loh, Marie, Mägi, Reedik, Mamakou, Vasiliki, McKean-Cowdin, Roberta, Nadkarni, Girish, Neville, Matt, Nielsen, Sune F., Ntalla, Ioanna, Peyser, Patricia A., Rathmann, Wolfgang, Rice, Kenneth, Rich, Stephen S., Rode, Line, Rolandsson, Olov, Schönherr, Sebastian, Selvin, Elizabeth, Small, Kerrin S., Stančáková, Alena, Surendran, Praveen, Taylor, Kent D., Teslovich, Tanya M., Thorand, Barbara, Thorleifsson, Gudmar, Tin, Adrienne, Tönjes, Anke, Varbo, Anette, Witte, Daniel R., Wood, Andrew R., Yajnik, Pranav, Yao, Jie, Yengo, Loïc, Young, Robin, Amouyel, Philippe, Boeing, Heiner, Boerwinkle, Eric, Bottinger, Erwin P., Chowdhury, Rajiv, Collins, Francis S., Dedoussis, George, Dehghan, Abbas, Deloukas, Panos, Ferrario, Marco M., Ferrières, Jean, Florez, Jose C., Frossard, Philippe, Gudnason, Vilmundur, Harris, Tamara B., Heckbert, Susan R., Howson, Joanna M. M., Ingelsson, Martin, Kathiresan, Sekar, Kee, Frank, Kuusisto, Johanna, Langenberg, Claudia, Launer, Lenore J., Lindgren, Cecilia M., Männistö, Satu, Meitinger, Thomas, Melander, Olle, Mohlke, Karen L., Moitry, Marie, Morris, Andrew D., Murray, Alison D., de Mutsert, Renée, Orho-Melander, Marju, Owen, Katharine R., Perola, Markus, Peters, Annette, Province, Michael A., Rasheed, Asif, Ridker, Paul M., Rivadineira, Fernando, Rosendaal, Frits R., Rosengren, Anders H., Salomaa, Veikko, Sheu, Wayne H.-H., Sladek, Rob, Smith, Blair H., Strauch, Konstantin, Uitterlinden, André G., Varma, Rohit, Willer, Cristen J., Blüher, Matthias, Butterworth, Adam S., Chambers, John Campbell, Chasman, Daniel I., Danesh, John, van Duijn, Cornelia, Dupuis, Josée, Franco, Oscar H., Franks, Paul W., Froguel, Philippe, Grallert, Harald, Groop, Leif, Han, Bok-Ghee, Hansen, Torben, Hattersley, Andrew T., Hayward, Caroline, Ingelsson, Erik, Kardia, Sharon L. R., Karpe, Fredrik, Kooner, Jaspal Singh, Köttgen, Anna, Kuulasmaa, Kari, Laakso, Markku, Lin, Xu, Lind, Lars, Liu, Yongmei, Loos, Ruth J. F., Marchini, Jonathan, Metspalu, Andres, Mook-Kanamori, Dennis, Nordestgaard, Børge G., Palmer, Colin N. A., Pankow, James S., Pedersen, Oluf, Psaty, Bruce M., Rauramaa, Rainer, Sattar, Naveed, Schulze, Matthias B., Soranzo, Nicole, Spector, Timothy D., Stefansson, Kari, Stumvoll, Michael, Thorsteinsdottir, Unnur, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Wareham, Nicholas J., Wilson, James G., Zeggini, Eleftheria, Scott, Robert A., Barroso, Inês, Frayling, Timothy M., Goodarzi, Mark O., Meigs, James B., Boehnke, Michael, Saleheen, Danish, Morris, Andrew P., Rotter, Jerome I., and McCarthy, Mark I.

Abstract

We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P< 2.2 × 10−7); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent ‘false leads’ with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.

Published
2018
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38. Absolute 10-year risk of dementia by age, sex and APOEgenotype: a population-based cohort study

Author

Rasmussen, Katrine L., Tybjærg-Hansen, Anne, Nordestgaard, Børge G., and Frikke-Schmidt, Ruth

Abstract

BACKGROUND:Dementia is a major cause of disability, and risk-factor reduction may have the potential to delay or prevent the disease. Our aim was to determine the absolute 10-year risk of dementia, by age, sex and apolipoprotein E (APOE) genotype.METHODS:We obtained data from the Copenhagen General Population Study (from 2003 to 2014) and the Copenhagen City Heart Study (from 1991 to 1994 and 2001 to 2003). Participants underwent a questionnaire, physical examination and blood sampling at baseline. Diagnoses of dementia and cerebrovascular disease were obtained from the Danish National Patient Registry up to Nov. 10, 2014.RESULTS:Among 104 537 individuals, the absolute 10-year risk of Alzheimer disease in 3017 women and men who were carriers of the APOEε44 genotype was, respectively, 7% and 6% at age 60–69 years, 16% and 12% at age 70–79 years, and 24% and 19% at age 80 years and older. Corresponding values for all dementia were 10% and 8%, 22% and 19%, and 38% and 33%, respectively. Adjusted hazard ratios (HRs) for all dementia increased by genotype, from genotype ε22 to ε32 to ε33 to ε42 to ε43 to ε44 (pfor trend < 0.001). Compared with ε33 carriers, ε44 carriers were more likely to develop Alzheimer disease (adjusted HR 8.74, 95% confidence interval [CI] 7.08–10.79), vascular dementia (adjusted HR 2.87, 95% CI 1.54–5.33), unspecified dementia (adjusted HR 4.68, 95% CI 3.74–5.85) and all dementia (adjusted HR 5.77, 95% CI 4.89–6.81).INTERPRETATION:Age, sex and APOEgenotype robustly identify high-risk groups for Alzheimer disease and all dementia. These groups can potentially be targeted for preventive interventions.

Published
2018
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39. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

Author

Turcot, Valérie, Lu, Yingchang, Highland, Heather M., Schurmann, Claudia, Justice, Anne E., Fine, Rebecca S., Bradfield, Jonathan P., Esko, Tõnu, Giri, Ayush, Graff, Mariaelisa, Guo, Xiuqing, Hendricks, Audrey E., Karaderi, Tugce, Lempradl, Adelheid, Locke, Adam E., Mahajan, Anubha, Marouli, Eirini, Sivapalaratnam, Suthesh, Young, Kristin L., Alfred, Tamuno, Feitosa, Mary F., Masca, Nicholas G. D., Manning, Alisa K., Medina-Gomez, Carolina, Mudgal, Poorva, Ng, Maggie C. Y., Reiner, Alex P., Vedantam, Sailaja, Willems, Sara M., Winkler, Thomas W., Abecasis, Gonçalo, Aben, Katja K., Alam, Dewan S., Alharthi, Sameer E., Allison, Matthew, Amouyel, Philippe, Asselbergs, Folkert W., Auer, Paul L., Balkau, Beverley, Bang, Lia E., Barroso, Inês, Bastarache, Lisa, Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F., Blüher, Matthias, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A., Bork-Jensen, Jette, Bots, Michiel L., Bottinger, Erwin P., Bowden, Donald W., Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H., Broer, Linda, Brumat, Marco, Burt, Amber A., Butterworth, Adam S., Campbell, Peter T., Cappellani, Stefania, Carey, David J., Catamo, Eulalia, Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Chen, Yii-Der I., Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y., Cocca, Massimiliano, Collins, Francis S., Cook, James P., Corley, Janie, Corominas Galbany, Jordi, Cox, Amanda J., Crosslin, David S., Cuellar-Partida, Gabriel, D’Eustacchio, Angela, Danesh, John, Davies, Gail, Bakker, Paul I. W., Groot, Mark C. H., Mutsert, Renée, Deary, Ian J., Dedoussis, George, Demerath, Ellen W., Heijer, Martin, Hollander, Anneke I., Ruijter, Hester M., Dennis, Joe G., Denny, Josh C., Di Angelantonio, Emanuele, Drenos, Fotios, Du, Mengmeng, Dubé, Marie-Pierre, Dunning, Alison M., Easton, Douglas F., Edwards, Todd L., Ellinghaus, David, Ellinor, Patrick T., Elliott, Paul, Evangelou, Evangelos, Farmaki, Aliki-Eleni, Farooqi, I. Sadaf, Faul, Jessica D., Fauser, Sascha, Feng, Shuang, Ferrannini, Ele, Ferrieres, Jean, Florez, Jose C., Ford, Ian, Fornage, Myriam, Franco, Oscar H., Franke, Andre, Franks, Paul W., Friedrich, Nele, Frikke-Schmidt, Ruth, Galesloot, Tessel E., Gan, Wei, Gandin, Ilaria, Gasparini, Paolo, Gibson, Jane, Giedraitis, Vilmantas, Gjesing, Anette P., Gordon-Larsen, Penny, Gorski, Mathias, Grabe, Hans-Jörgen, Grant, Struan F. A., Grarup, Niels, Griffiths, Helen L., Grove, Megan L., Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeff, Hakonarson, Hakon, Hammerschlag, Anke R., Hansen, Torben, Harris, Kathleen Mullan, Harris, Tamara B., Hattersley, Andrew T., Have, Christian T., Hayward, Caroline, He, Liang, Heard-Costa, Nancy L., Heath, Andrew C., Heid, Iris M., Helgeland, Øyvind, Hernesniemi, Jussi, Hewitt, Alex W., Holmen, Oddgeir L., Hovingh, G. Kees, Howson, Joanna M. M., Hu, Yao, Huang, Paul L., Huffman, Jennifer E., Ikram, M. Arfan, Ingelsson, Erik, Jackson, Anne U., Jansson, Jan-Håkan, Jarvik, Gail P., Jensen, Gorm B., Jia, Yucheng, Johansson, Stefan, Jørgensen, Marit E., Jørgensen, Torben, Jukema, J. Wouter, Kahali, Bratati, Kahn, René S., Kähönen, Mika, Kamstrup, Pia R., Kanoni, Stavroula, Kaprio, Jaakko, Karaleftheri, Maria, Kardia, Sharon L. R., Karpe, Fredrik, Kathiresan, Sekar, Kee, Frank, Kiemeney, Lambertus A., Kim, Eric, Kitajima, Hidetoshi, Komulainen, Pirjo, Kooner, Jaspal S., Kooperberg, Charles, Korhonen, Tellervo, Kovacs, Peter, Kuivaniemi, Helena, Kutalik, Zoltán, Kuulasmaa, Kari, Kuusisto, Johanna, Laakso, Markku, Lakka, Timo A., Lamparter, David, Lange, Ethan M., Lange, Leslie A., Langenberg, Claudia, Larson, Eric B., Lee, Nanette R., Lehtimäki, Terho, Lewis, Cora E., Li, Huaixing, Li, Jin, Li-Gao, Ruifang, Lin, Honghuang, Lin, Keng-Hung, Lin, Li-An, Lin, Xu, Lind, Lars, Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Liu, Dajiang J., Liu, Yongmei, Lo, Ken S., Lophatananon, Artitaya, Lotery, Andrew J., Loukola, Anu, Luan, Jian’an, Lubitz, Steven A., Lyytikäinen, Leo-Pekka, Männistö, Satu, Marenne, Gaëlle, Mazul, Angela L., McCarthy, Mark I., McKean-Cowdin, Roberta, Medland, Sarah E., Meidtner, Karina, Milani, Lili, Mistry, Vanisha, Mitchell, Paul, Mohlke, Karen L., Moilanen, Leena, Moitry, Marie, Montgomery, Grant W., Mook-Kanamori, Dennis O., Moore, Carmel, Mori, Trevor A., Morris, Andrew D., Morris, Andrew P., Müller-Nurasyid, Martina, Munroe, Patricia B., Nalls, Mike A., Narisu, Narisu, Nelson, Christopher P., Neville, Matt, Nielsen, Sune F., Nikus, Kjell, Njølstad, Pål R., Nordestgaard, Børge G., Nyholt, Dale R., O’Connel, Jeffrey R., O’Donoghue, Michelle L., Olde Loohuis, Loes M., Ophoff, Roel A., Owen, Katharine R., Packard, Chris J., Padmanabhan, Sandosh, Palmer, Colin N. A., Palmer, Nicholette D., Pasterkamp, Gerard, Patel, Aniruddh P., Pattie, Alison, Pedersen, Oluf, Peissig, Peggy L., Peloso, Gina M., Pennell, Craig E., Perola, Markus, Perry, James A., Perry, John R. B., Pers, Tune H., Person, Thomas N., Peters, Annette, Petersen, Eva R. B., Peyser, Patricia A., Pirie, Ailith, Polasek, Ozren, Polderman, Tinca J., Puolijoki, Hannu, Raitakari, Olli T., Rasheed, Asif, Rauramaa, Rainer, Reilly, Dermot F., Renström, Frida, Rheinberger, Myriam, Ridker, Paul M., Rioux, John D., Rivas, Manuel A., Roberts, David J., Robertson, Neil R., Robino, Antonietta, Rolandsson, Olov, Rudan, Igor, Ruth, Katherine S., Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sapkota, Yadav, Sattar, Naveed, Schoen, Robert E., Schreiner, Pamela J., Schulze, Matthias B., Scott, Robert A., Segura-Lepe, Marcelo P., Shah, Svati H., Sheu, Wayne H.-H., Sim, Xueling, Slater, Andrew J., Small, Kerrin S., Smith, Albert V., Southam, Lorraine, Spector, Timothy D., Speliotes, Elizabeth K., Starr, John M., Stefansson, Kari, Steinthorsdottir, Valgerdur, Stirrups, Kathleen E., Strauch, Konstantin, Stringham, Heather M., Stumvoll, Michael, Sun, Liang, Surendran, Praveen, Swift, Amy J., Tada, Hayato, Tansey, Katherine E., Tardif, Jean-Claude, Taylor, Kent D., Teumer, Alexander, Thompson, Deborah J., Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thuesen, Betina H., Tönjes, Anke, Tromp, Gerard, Trompet, Stella, Tsafantakis, Emmanouil, Tuomilehto, Jaakko, Tybjaerg-Hansen, Anne, Tyrer, Jonathan P., Uher, Rudolf, Uitterlinden, André G., Uusitupa, Matti, Laan, Sander W., Duijn, Cornelia M., Leeuwen, Nienke, van Setten, Jessica, Vanhala, Mauno, Varbo, Anette, Varga, Tibor V., Varma, Rohit, Velez Edwards, Digna R., Vermeulen, Sita H., Veronesi, Giovanni, Vestergaard, Henrik, Vitart, Veronique, Vogt, Thomas F., Völker, Uwe, Vuckovic, Dragana, Wagenknecht, Lynne E., Walker, Mark, Wallentin, Lars, Wang, Feijie, Wang, Carol A., Wang, Shuai, Wang, Yiqin, Ware, Erin B., Wareham, Nicholas J., Warren, Helen R., Waterworth, Dawn M., Wessel, Jennifer, White, Harvey D., Willer, Cristen J., Wilson, James G., Witte, Daniel R., Wood, Andrew R., Wu, Ying, Yaghootkar, Hanieh, Yao, Jie, Yao, Pang, Yerges-Armstrong, Laura M., Young, Robin, Zeggini, Eleftheria, Zhan, Xiaowei, Zhang, Weihua, Zhao, Jing Hua, Zhao, Wei, Zhao, Wei, Zhou, Wei, Zondervan, Krina T, Rotter, Jerome I., Pospisilik, John A., Rivadeneira, Fernando, Borecki, Ingrid B., Deloukas, Panos, Frayling, Timothy M., Lettre, Guillaume, North, Kari E., Lindgren, Cecilia M., Hirschhorn, Joel N., and Loos, Ruth J. F.

Abstract

Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4Rand KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4Rmutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.

Published
2018
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40. Exome-wide association study of plasma lipids in >300,000 individuals

Author

Liu, Dajiang J, Peloso, Gina M, Yu, Haojie, Butterworth, Adam S, Wang, Xiao, Mahajan, Anubha, Saleheen, Danish, Emdin, Connor, Alam, Dewan, Alves, Alexessander Couto, Amouyel, Philippe, Di Angelantonio, Emanuele, Arveiler, Dominique, Assimes, Themistocles L, Auer, Paul L, Baber, Usman, Ballantyne, Christie M, Bang, Lia E, Benn, Marianne, Bis, Joshua C, Boehnke, Michael, Boerwinkle, Eric, Bork-Jensen, Jette, Bottinger, Erwin P, Brandslund, Ivan, Brown, Morris, Busonero, Fabio, Caulfield, Mark J, Chambers, John C, Chasman, Daniel I, Chen, Y Eugene, Chen, Yii-Der Ida, Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y, Connell, John M, Cucca, Francesco, Cupples, L Adrienne, Damrauer, Scott M, Davies, Gail, Deary, Ian J, Dedoussis, George, Denny, Joshua C, Dominiczak, Anna, Dubé, Marie-Pierre, Ebeling, Tapani, Eiriksdottir, Gudny, Esko, Tõnu, Farmaki, Aliki-Eleni, Feitosa, Mary F, Ferrario, Marco, Ferrieres, Jean, Ford, Ian, Fornage, Myriam, Franks, Paul W, Frayling, Timothy M, Frikke-Schmidt, Ruth, Fritsche, Lars G, Frossard, Philippe, Fuster, Valentin, Ganesh, Santhi K, Gao, Wei, Garcia, Melissa E, Gieger, Christian, Giulianini, Franco, Goodarzi, Mark O, Grallert, Harald, Grarup, Niels, Groop, Leif, Grove, Megan L, Gudnason, Vilmundur, Hansen, Torben, Harris, Tamara B, Hayward, Caroline, Hirschhorn, Joel N, Holmen, Oddgeir L, Huffman, Jennifer, Huo, Yong, Hveem, Kristian, Jabeen, Sehrish, Jackson, Anne U, Jakobsdottir, Johanna, Jarvelin, Marjo-Riitta, Jensen, Gorm B, Jørgensen, Marit E, Jukema, J Wouter, Justesen, Johanne M, Kamstrup, Pia R, Kanoni, Stavroula, Karpe, Fredrik, Kee, Frank, Khera, Amit V, Klarin, Derek, Koistinen, Heikki A, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Kuusisto, Johanna, Laakso, Markku, Lakka, Timo, Langenberg, Claudia, Langsted, Anne, Launer, Lenore J, Lauritzen, Torsten, Liewald, David C M, Lin, Li An, Linneberg, Allan, Loos, Ruth J F, Lu, Yingchang, Lu, Xiangfeng, Mägi, Reedik, Malarstig, Anders, Manichaikul, Ani, Manning, Alisa K, Mäntyselkä, Pekka, Marouli, Eirini, Masca, Nicholas G D, Maschio, Andrea, Meigs, James B, Melander, Olle, Metspalu, Andres, Morris, Andrew P, Morrison, Alanna C, Mulas, Antonella, Müller-Nurasyid, Martina, Munroe, Patricia B, Neville, Matt J, Nielsen, Jonas B, Nielsen, Sune F, Nordestgaard, Børge G, Ordovas, Jose M, Mehran, Roxana, O'Donnell, Christoper J, Orho-Melander, Marju, Molony, Cliona M, Muntendam, Pieter, Padmanabhan, Sandosh, Palmer, Colin N A, Pasko, Dorota, Patel, Aniruddh P, Pedersen, Oluf, Perola, Markus, Peters, Annette, Pisinger, Charlotta, Pistis, Giorgio, Polasek, Ozren, Poulter, Neil, Psaty, Bruce M, Rader, Daniel J, Rasheed, Asif, Rauramaa, Rainer, Reilly, Dermot F, Reiner, Alex P, Renström, Frida, Rich, Stephen S, Ridker, Paul M, Rioux, John D, Robertson, Neil R, Roden, Dan M, Rotter, Jerome I, Rudan, Igor, Salomaa, Veikko, Samani, Nilesh J, Sanna, Serena, Sattar, Naveed, Schmidt, Ellen M, Scott, Robert A, Sever, Peter, Sevilla, Raquel S, Shaffer, Christian M, Sim, Xueling, Sivapalaratnam, Suthesh, Small, Kerrin S, Smith, Albert V, Smith, Blair H, Somayajula, Sangeetha, Southam, Lorraine, Spector, Timothy D, Speliotes, Elizabeth K, Starr, John M, Stirrups, Kathleen E, Stitziel, Nathan, Strauch, Konstantin, Stringham, Heather M, Surendran, Praveen, Tada, Hayato, Tall, Alan R, Tang, Hua, Tardif, Jean-Claude, Taylor, Kent D, Trompet, Stella, Tsao, Philip S, Tuomilehto, Jaakko, Tybjaerg-Hansen, Anne, van Zuydam, Natalie R, Varbo, Anette, Varga, Tibor V, Virtamo, Jarmo, Waldenberger, Melanie, Wang, Nan, Wareham, Nick J, Warren, Helen R, Weeke, Peter E, Weinstock, Joshua, Wessel, Jennifer, Wilson, James G, Wilson, Peter W F, Xu, Ming, Yaghootkar, Hanieh, Young, Robin, Zeggini, Eleftheria, Zhang, He, Zheng, Neil S, Zhang, Weihua, Zhang, Yan, Zhou, Wei, Zhou, Yanhua, Zoledziewska, Magdalena, Howson, Joanna M M, Danesh, John, McCarthy, Mark I, Cowan, Chad A, Abecasis, Goncalo, Deloukas, Panos, Musunuru, Kiran, Willer, Cristen J, and Kathiresan, Sekar

Abstract

We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD.

Published
2017
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42. Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease

Author

Zhao, Wei, Rasheed, Asif, Tikkanen, Emmi, Lee, Jung-Jin, Butterworth, Adam S, Howson, Joanna M M, Assimes, Themistocles L, Chowdhury, Rajiv, Orho-Melander, Marju, Damrauer, Scott, Small, Aeron, Asma, Senay, Imamura, Minako, Yamauch, Toshimasa, Chambers, John C, Chen, Peng, Sapkota, Bishwa R, Shah, Nabi, Jabeen, Sehrish, Surendran, Praveen, Lu, Yingchang, Zhang, Weihua, Imran, Atif, Abbas, Shahid, Majeed, Faisal, Trindade, Kevin, Qamar, Nadeem, Mallick, Nadeem Hayyat, Yaqoob, Zia, Saghir, Tahir, Rizvi, Syed Nadeem Hasan, Memon, Anis, Rasheed, Syed Zahed, Memon, Fazal-ur-Rehman, Mehmood, Khalid, Ahmed, Naveeduddin, Qureshi, Irshad Hussain, Tanveer-us-Salam, Iqbal, Wasim, Malik, Uzma, Mehra, Narinder, Kuo, Jane Z, Sheu, Wayne H-H, Guo, Xiuqing, Hsiung, Chao A, Juang, Jyh-Ming J, Taylor, Kent D, Hung, Yi-Jen, Lee, Wen-Jane, Quertermous, Thomas, Lee, I-Te, Hsu, Chih-Cheng, Bottinger, Erwin P, Ralhan, Sarju, Teo, Yik Ying, Wang, Tzung-Dau, Alam, Dewan S, Di Angelantonio, Emanuele, Epstein, Steve, Nielsen, Sune F, Nordestgaard, Børge G, Tybjaerg-Hansen, Anne, Young, Robin, Benn, Marianne, Frikke-Schmidt, Ruth, Kamstrup, Pia R, Jukema, J Wouter, Sattar, Naveed, Smit, Roelof, Chung, Ren-Hua, Liang, Kae-Woei, Anand, Sonia, Sanghera, Dharambir K, Ripatti, Samuli, Loos, Ruth J F, Kooner, Jaspal S, Tai, E Shyong, Rotter, Jerome I, Chen, Yii-Der Ida, Frossard, Philippe, Maeda, Shiro, Kadowaki, Takashi, Reilly, Muredach, Pare, Guillaume, Melander, Olle, Salomaa, Veikko, Rader, Daniel J, Danesh, John, Voight, Benjamin F, and Saleheen, Danish

Abstract

To evaluate the shared genetic etiology of type 2 diabetes (T2D) and coronary heart disease (CHD), we conducted a genome-wide, multi-ancestry study of genetic variation for both diseases in up to 265,678 subjects for T2D and 260,365 subjects for CHD. We identify 16 previously unreported loci for T2D and 1 locus for CHD, including a new T2D association at a missense variant in HLA-DRB5 (odds ratio (OR) = 1.29). We show that genetically mediated increase in T2D risk also confers higher CHD risk. Joint T2D–CHD analysis identified eight variants—two of which are coding—where T2D and CHD associations appear to colocalize, including a new joint T2D–CHD association at the CCDC92 locus that also replicated for T2D. The variants associated with both outcomes implicate new pathways as well as targets of existing drugs, including icosapent ethyl and adipocyte fatty-acid-binding protein.

Published
2017
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45. Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms

Author

Howson, Joanna M M, Zhao, Wei, Barnes, Daniel R, Ho, Weang-Kee, Young, Robin, Paul, Dirk S, Waite, Lindsay L, Freitag, Daniel F, Fauman, Eric B, Salfati, Elias L, Sun, Benjamin B, Eicher, John D, Johnson, Andrew D, Sheu, Wayne H H, Nielsen, Sune F, Lin, Wei-Yu, Surendran, Praveen, Malarstig, Anders, Wilk, Jemma B, Tybjærg-Hansen, Anne, Rasmussen, Katrine L, Kamstrup, Pia R, Deloukas, Panos, Erdmann, Jeanette, Kathiresan, Sekar, Samani, Nilesh J, Schunkert, Heribert, Watkins, Hugh, Do, Ron, Rader, Daniel J, Johnson, Julie A, Hazen, Stanley L, Quyyumi, Arshed A, Spertus, John A, Pepine, Carl J, Franceschini, Nora, Justice, Anne, Reiner, Alex P, Buyske, Steven, Hindorff, Lucia A, Carty, Cara L, North, Kari E, Kooperberg, Charles, Boerwinkle, Eric, Young, Kristin, Graff, Mariaelisa, Peters, Ulrike, Absher, Devin, Hsiung, Chao A, Lee, Wen-Jane, Taylor, Kent D, Chen, Ying-Hsiang, Lee, I-Te, Guo, Xiuqing, Chung, Ren-Hua, Hung, Yi-Jen, Rotter, Jerome I, Juang, Jyh-Ming J, Quertermous, Thomas, Wang, Tzung-Dau, Rasheed, Asif, Frossard, Philippe, Alam, Dewan S, Majumder, Abdulla al Shafi, Di Angelantonio, Emanuele, Chowdhury, Rajiv, Chen, Yii-Der Ida, Nordestgaard, Børge G, Assimes, Themistocles L, Danesh, John, Butterworth, Adam S, and Saleheen, Danish

Abstract

Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Although 58 genomic regions have been associated with CAD thus far, most of the heritability is unexplained, indicating that additional susceptibility loci await identification. An efficient discovery strategy may be larger-scale evaluation of promising associations suggested by genome-wide association studies (GWAS). Hence, we genotyped 56,309 participants using a targeted gene array derived from earlier GWAS results and performed meta-analysis of results with 194,427 participants previously genotyped, totaling 88,192 CAD cases and 162,544 controls. We identified 25 new SNP–CAD associations (P < 5 × 10−8, in fixed-effects meta-analysis) from 15 genomic regions, including SNPs in or near genes involved in cellular adhesion, leukocyte migration and atherosclerosis (PECAM1, rs1867624), coagulation and inflammation (PROCR, rs867186 (p.Ser219Gly)) and vascular smooth muscle cell differentiation (LMOD1, rs2820315). Correlation of these regions with cell-type-specific gene expression and plasma protein levels sheds light on potential disease mechanisms.

Published
2017
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47. Adiposity amplifies the genetic risk of fatty liver disease conferred by multiple loci

Author

Stender, Stefan, Kozlitina, Julia, Nordestgaard, Børge G, Tybjærg-Hansen, Anne, Hobbs, Helen H, and Cohen, Jonathan C

Abstract

Complex traits arise from the interplay between genetic and environmental factors. The actions of these factors usually appear to be additive, and few compelling examples of gene–environment synergy have been documented. Here we show that adiposity significantly amplifies the effect of three sequence variants (encoding PNPLA3 p.I148M, TM6SF2 p.E167K, and GCKR p.P446L) associated with nonalcoholic fatty liver disease (NAFLD). Synergy between adiposity and genotype promoted the full spectrum of NAFLD, from steatosis to hepatic inflammation to cirrhosis. We found no evidence of strong interaction between adiposity and sequence variants influencing other adiposity-associated traits. These results indicate that adiposity augments genetic risk of NAFLD at multiple loci that confer susceptibility to hepatic steatosis through diverse metabolic mechanisms.

Published
2017
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48. Rare and low-frequency coding variants alter human adult height

Author

Marouli, Eirini, Graff, Mariaelisa, Medina-Gomez, Carolina, Lo, Ken Sin, Wood, Andrew R., Kjaer, Troels R., Fine, Rebecca S., Lu, Yingchang, Schurmann, Claudia, Highland, Heather M., Rüeger, Sina, Thorleifsson, Gudmar, Justice, Anne E., Lamparter, David, Stirrups, Kathleen E., Turcot, Valérie, Young, Kristin L., Winkler, Thomas W., Esko, Tõnu, Karaderi, Tugce, Locke, Adam E., Masca, Nicholas G. D., Ng, Maggie C. Y., Mudgal, Poorva, Rivas, Manuel A., Vedantam, Sailaja, Mahajan, Anubha, Guo, Xiuqing, Abecasis, Goncalo, Aben, Katja K., Adair, Linda S., Alam, Dewan S., Albrecht, Eva, Allin, Kristine H., Allison, Matthew, Amouyel, Philippe, Appel, Emil V., Arveiler, Dominique, Asselbergs, Folkert W., Auer, Paul L., Balkau, Beverley, Banas, Bernhard, Bang, Lia E., Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F., Blüher, Matthias, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A., Bonnycastle, Lori L., Bork-Jensen, Jette, Bots, Michiel L., Bottinger, Erwin P., Bowden, Donald W., Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H., Broer, Linda, Burt, Amber A., Butterworth, Adam S., Carey, David J., Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Chen, Yii-Der Ida, Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y., Cocca, Massimiliano, Collins, Francis S., Cook, James P., Corley, Janie, Galbany, Jordi Corominas, Cox, Amanda J., Cuellar-Partida, Gabriel, Danesh, John, Davies, Gail, de Bakker, Paul I. W., de Borst, Gert J., de Denus, Simon, de Groot, Mark C. H., de Mutsert, Renée, Deary, Ian J., Dedoussis, George, Demerath, Ellen W., den Hollander, Anneke I., Dennis, Joe G., Di Angelantonio, Emanuele, Drenos, Fotios, Du, Mengmeng, Dunning, Alison M., Easton, Douglas F., Ebeling, Tapani, Edwards, Todd L., Ellinor, Patrick T., Elliott, Paul, Evangelou, Evangelos, Farmaki, Aliki-Eleni, Faul, Jessica D., Feitosa, Mary F., Feng, Shuang, Ferrannini, Ele, Ferrario, Marco M., Ferrieres, Jean, Florez, Jose C., Ford, Ian, Fornage, Myriam, Franks, Paul W., Frikke-Schmidt, Ruth, Galesloot, Tessel E., Gan, Wei, Gandin, Ilaria, Gasparini, Paolo, Giedraitis, Vilmantas, Giri, Ayush, Girotto, Giorgia, Gordon, Scott D., Gordon-Larsen, Penny, Gorski, Mathias, Grarup, Niels, Grove, Megan L., Gudnason, Vilmundur, Gustafsson, Stefan, Hansen, Torben, Harris, Kathleen Mullan, Harris, Tamara B., Hattersley, Andrew T., Hayward, Caroline, He, Liang, Heid, Iris M., Heikkilä, Kauko, Helgeland, Øyvind, Hernesniemi, Jussi, Hewitt, Alex W., Hocking, Lynne J., Hollensted, Mette, Holmen, Oddgeir L., Hovingh, G. Kees, Howson, Joanna M. M., Hoyng, Carel B., Huang, Paul L., Hveem, Kristian, Ikram, M. Arfan, Ingelsson, Erik, Jackson, Anne U., Jansson, Jan-Håkan, Jarvik, Gail P., Jensen, Gorm B., Jhun, Min A., Jia, Yucheng, Jiang, Xuejuan, Johansson, Stefan, Jørgensen, Marit E., Jørgensen, Torben, Jousilahti, Pekka, Jukema, J. Wouter, Kahali, Bratati, Kahn, René S., Kähönen, Mika, Kamstrup, Pia R., Kanoni, Stavroula, Kaprio, Jaakko, Karaleftheri, Maria, Kardia, Sharon L. R., Karpe, Fredrik, Kee, Frank, Keeman, Renske, Kiemeney, Lambertus A., Kitajima, Hidetoshi, Kluivers, Kirsten B., Kocher, Thomas, Komulainen, Pirjo, Kontto, Jukka, Kooner, Jaspal S., Kooperberg, Charles, Kovacs, Peter, Kriebel, Jennifer, Kuivaniemi, Helena, Küry, Sébastien, Kuusisto, Johanna, La Bianca, Martina, Laakso, Markku, Lakka, Timo A., Lange, Ethan M., Lange, Leslie A., Langefeld, Carl D., Langenberg, Claudia, Larson, Eric B., Lee, I-Te, Lehtimäki, Terho, Lewis, Cora E., Li, Huaixing, Li, Jin, Li-Gao, Ruifang, Lin, Honghuang, Lin, Li-An, Lin, Xu, Lind, Lars, Lindström, Jaana, Linneberg, Allan, Liu, Yeheng, Liu, Yongmei, Lophatananon, Artitaya, Luan, Jian'an, Lubitz, Steven A., Lyytikäinen, Leo-Pekka, Mackey, David A., Madden, Pamela A. F., Manning, Alisa K., Männistö, Satu, Marenne, Gaëlle, Marten, Jonathan, Martin, Nicholas G., Mazul, Angela L., Meidtner, Karina, Metspalu, Andres, Mitchell, Paul, Mohlke, Karen L., Mook-Kanamori, Dennis O., Morgan, Anna, Morris, Andrew D., Morris, Andrew P., Müller-Nurasyid, Martina, Munroe, Patricia B., Nalls, Mike A., Nauck, Matthias, Nelson, Christopher P., Neville, Matt, Nielsen, Sune F., Nikus, Kjell, Njølstad, Pål R., Nordestgaard, Børge G., Ntalla, Ioanna, O'Connel, Jeffrey R., Oksa, Heikki, Loohuis, Loes M. Olde, Ophoff, Roel A., Owen, Katharine R., Packard, Chris J., Padmanabhan, Sandosh, Palmer, Colin N. A., Pasterkamp, Gerard, Patel, Aniruddh P., Pattie, Alison, Pedersen, Oluf, Peissig, Peggy L., Peloso, Gina M., Pennell, Craig E., Perola, Markus, Perry, James A., Perry, John R. 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Abstract

Height is a highly heritable, classic polygenic trait with approximately 700 common associated variants identified through genome-wide association studies so far. Here, we report 83 height-associated coding variants with lower minor-allele frequencies (in the range of 0.1–4.8%) and effects of up to 2 centimetres per allele (such as those in IHH, STC2, ARand CRISPLD2), greater than ten times the average effect of common variants. In functional follow-up studies, rare height-increasing alleles of STC2(giving an increase of 1–2 centimetres per allele) compromised proteolytic inhibition of PAPP-A and increased cleavage of IGFBP-4 in vitro, resulting in higher bioavailability of insulin-like growth factors. These 83 height-associated variants overlap genes that are mutated in monogenic growth disorders and highlight new biological candidates (such as ADAMTS3, IL11RAand NOX4) and pathways (such as proteoglycan and glycosaminoglycan synthesis) involved in growth. Our results demonstrate that sufficiently large sample sizes can uncover rare and low-frequency variants of moderate-to-large effect associated with polygenic human phenotypes, and that these variants implicate relevant genes and pathways.

Published
2017
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49. Abstract P551: Genetic Variants in the Adenosine Triphosphate-Binding Cassette Transporter A1 and Risk of Age-Related Macular Degeneration

Author

Nordestgaard, Liv, Christoffersen, Mette, Afzal, Shoaib, Nordestgaard, Borge G, Tybjaerg-Hansen, Anne, and Frikke-Schmidt, Ruth

Abstract

Objective:Genetic variants in the adenosine triphosphate-binding cassette transporter A1(ABCA1) is associated with higher concentrations of high-density lipoprotein (HDL) cholesterol. Higher HDL cholesterol concentrations are observationally and genetically associated with higher risk of age-related macular degeneration (AMD). However, whether amino acid changing genetic variants in ABCA1associated with high HDL cholesterol concentrations confer a higher risk of AMD in the general population is currently unknown. We tested this hypothesis.Methods:We genotyped all amino acid changing ABCA1variants with a minor allele frequency above 0.002, measured plasma HDL cholesterol and other plasma lipids, and used Cox regression to assess risk of AMD. We created an HDL cholesterol weighted allele score and tested the association with risk of AMD on a continuous scale and in tertiles. Further, we performed mediation analyses. Main outcome measures:1,554 AMD events. Median follow-up of 10 years.Results:Of 90,344 study participants, 55% were women. Median age was 58 (interquartile range: 47-67) years. On a continuous scale, higher concentrations of genetically determined HDL cholesterol were associated with higher risk of all-cause AMD, dry AMD, and wet AMD both in an age- and sex adjusted model and in a multivariable adjusted model (See Figure). The ABCA1allele score for the third versus the first tertile was associated with HRs (95% confidence intervals (CIs)) of 1.30 (1.14-1.49) for all-cause AMD, 1.26 (1.06-1.50) for dry AMD, and 1.31 (1.12-1.53) for wet AMD in a multivariable adjusted model. 6-8% of the effect was mediated through HDL cholesterol. There was no interaction between weighted allele score tertiles and confounding factors on risk of AMD.Conclusions:Amino acid changing genetic variants in ABCA1which were associated with higher HDL cholesterol concentrations, were also associated with higher risk of AMD, both on a weighted allele score continuously and when divided into tertiles.

Published
2023
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50. Abstract 18: Impact of Preeclampsia on Cardiovascular Risk Factors in Mothers and Newborns

Author

Taageby Nielsen, Sofie, Qvist Thomassen, Jesper, Kamstrup, Pia R, Nordestgaard, Borge G, Sillesen, Anne-Sophie, Tybjaerg-Hansen, Anne, Bundgaard, Henning, Iversen, Kasper, and Frikke-Schmidt, Ruth

Abstract

Introduction:Preeclampsia is a multifactorial disease and a cause of maternal and neonatal morbidity and mortality. Women with preeclampsia have increased risk of cardiovascular diseases in later life. The impact on the offspring is, however, still uncertain. Lipid traits in newborns are considered to reflect the child’s own production.Hypothesis:We assessed the hypothesis that preeclampsia increases risk of future cardiovascular disease in both mother and offspring.Methods:For this purpose, we used the Copenhagen General Population Study comprising 59,571 women of which 1,365 had a diagnosis of preeclampsia to investigate the association between preeclampsia and risk of cardiovascular diseases. Further, we used the Copenhagen Baby Heart Study comprising more than 13,000 umbilical cord blood samples and assessed the impact of preeclampsia on atherogenic lipid traits in cord blood.Results:Age adjusted hazard ratios for preeclampsia versus no preeclampsia (95% CI) were 1.48 (1.13-1.94) for ischemic heart disease, 1.50 (1.07-2.12) for ischemic cerebrovascular disease, and 1.53 (1.22-1.91) for composite vascular disease. Corresponding multivariable adjusted hazard ratios (95% CI) were 1.31 (1.00-1.72), 1.44 (1.02-2.02), and 1.39 (1.11-1.74). Concentrations of non-HDL cholesterol, total cholesterol, LDL cholesterol, apolipoprotein B, and triglycerides in cord blood increased stepwise from no preeclampsia (n=11,221) to mild/moderate preeclampsia (n=253) to severe preeclampsia (n=104) (p for trends <0.0001 for non-HDL cholesterol, total cholesterol and LDL cholesterol; p for trend=0.0002 for apolipoprotein B; p for trend=0.003 for triglycerides). Multivariable adjusted odds ratios (95% CI) for preeclampsia versus no preeclampsia (reference) for cord blood concentrations above the 80thpercentile were 2.09 (1.67-2.61) for non-HDL cholesterol, 1.58 (1.25-2.01) for total cholesterol, 1.72 (1.37-2.16) for LDL cholesterol, 1.38 (1.07-1.78) for apolipoprotein B, and 2.64 (2.07-3.35) for triglycerides.Conclusion:Women with preeclampsia had increased risk of future cardiovascular disease and lipid traits in umbilical cord blood of their offspring were elevated. This indicates that preeclampsia affects lipid metabolism during fetal life and potentially contributes to an increased risk of future cardiovascular disease in offspring of mothers with preeclampsia.

Published
2023
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