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2,709 results on '"Jørgensen, Torben"'

1. Characterization of the gut bacterial and viral microbiota in latent autoimmune diabetes in adults

Author: Poulsen, Casper S., Hesse, Dan, Fernandes, Gabriel R., Hansen, Tue H., Kern, Timo, Linneberg, Allan, Van Espen, Lore, Jørgensen, Torben, Nielsen, Trine, Alibegovic, Amra C., Matthijnssens, Jelle, Pedersen, Oluf, Vestergaard, Henrik, Hansen, Torben, and Andersen, Mette K.
Published: 2024
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2. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Author: Suzuki, Ken, Hatzikotoulas, Konstantinos, Southam, Lorraine, Taylor, Henry J., Yin, Xianyong, Lorenz, Kim M., Mandla, Ravi, Huerta-Chagoya, Alicia, Melloni, Giorgio E. M., Kanoni, Stavroula, Rayner, Nigel W., Bocher, Ozvan, Arruda, Ana Luiza, Sonehara, Kyuto, Namba, Shinichi, Lee, Simon S. K., Preuss, Michael H., Petty, Lauren E., Schroeder, Philip, Vanderwerff, Brett, Kals, Mart, Bragg, Fiona, Lin, Kuang, Guo, Xiuqing, Zhang, Weihua, Yao, Jie, Kim, Young Jin, Graff, Mariaelisa, Takeuchi, Fumihiko, Nano, Jana, Lamri, Amel, Nakatochi, Masahiro, Moon, Sanghoon, Scott, Robert A., Cook, James P., Lee, Jung-Jin, Pan, Ian, Taliun, Daniel, Parra, Esteban J., Chai, Jin-Fang, Bielak, Lawrence F., Tabara, Yasuharu, Hai, Yang, Thorleifsson, Gudmar, Grarup, Niels, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloé, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Kwak, Soo-Heon, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Nongmaithem, Suraj S., Noordam, Raymond, Lim, Victor J. Y., Tam, Claudia H. T., Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M., Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R., Chen, Guanjie, Brody, Jennifer A., Kabagambe, Edmond, An, Ping, Xiang, Anny H., Choi, Hyeok Sun, Cade, Brian E., Tan, Jingyi, Broadaway, K. Alaine, Williamson, Alice, Kamali, Zoha, Cui, Jinrui, Thangam, Manonanthini, Adair, Linda S., Adeyemo, Adebowale, Aguilar-Salinas, Carlos A., Ahluwalia, Tarunveer S., Anand, Sonia S., Bertoni, Alain, Bork-Jensen, Jette, Brandslund, Ivan, Buchanan, Thomas A., Burant, Charles F., Butterworth, Adam S., Canouil, Mickaël, Chan, Juliana C. N., Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, Cushman, Mary, Danesh, John, Das, Swapan K., de Silva, H. Janaka, Dedoussis, George, Dimitrov, Latchezar, Doumatey, Ayo P., Du, Shufa, Duan, Qing, Eckardt, Kai-Uwe, Emery, Leslie S., Evans, Daniel S., Evans, Michele K., Fischer, Krista, Floyd, James S., Ford, Ian, Franco, Oscar H., Frayling, Timothy M., Freedman, Barry I., Genter, Pauline, Gerstein, Hertzel C., Giedraitis, Vilmantas, González-Villalpando, Clicerio, González-Villalpando, Maria Elena, Gordon-Larsen, Penny, Gross, Myron, Guare, Lindsay A., Hackinger, Sophie, Hakaste, Liisa, Han, Sohee, Hattersley, Andrew T., Herder, Christian, Horikoshi, Momoko, Howard, Annie-Green, Hsueh, Willa, Huang, Mengna, Huang, Wei, Hung, Yi-Jen, Hwang, Mi Yeong, Hwu, Chii-Min, Ichihara, Sahoko, Ikram, Mohammad Arfan, Ingelsson, Martin, Islam, Md. Tariqul, Isono, Masato, Jang, Hye-Mi, Jasmine, Farzana, Jiang, Guozhi, Jonas, Jost B., Jørgensen, Torben, Kamanu, Frederick K., Kandeel, Fouad R., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kaur, Varinderpal, Kawaguchi, Takahisa, Keaton, Jacob M., Kho, Abel N., Khor, Chiea-Chuen, Kibriya, Muhammad G., Kim, Duk-Hwan, Kronenberg, Florian, Kuusisto, Johanna, Läll, Kristi, Lange, Leslie A., Lee, Kyung Min, Lee, Myung-Shik, Lee, Nanette R., Leong, Aaron, Li, Liming, Li, Yun, Li-Gao, Ruifang, Ligthart, Symen, Lindgren, Cecilia M., Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Locke, Adam E., Louie, Tin, Luan, Jian’an, Luk, Andrea O., Luo, Xi, Lv, Jun, Lynch, Julie A., Lyssenko, Valeriya, Maeda, Shiro, Mamakou, Vasiliki, Mansuri, Sohail Rafik, Matsuda, Koichi, Meitinger, Thomas, Melander, Olle, Metspalu, Andres, Mo, Huan, Morris, Andrew D., Moura, Filipe A., Nadler, Jerry L., Nalls, Michael A., Nayak, Uma, Ntalla, Ioanna, Okada, Yukinori, Orozco, Lorena, Patel, Sanjay R., Patil, Snehal, Pei, Pei, Pereira, Mark A., Peters, Annette, Pirie, Fraser J., Polikowsky, Hannah G., Porneala, Bianca, Prasad, Gauri, Rasmussen-Torvik, Laura J., Reiner, Alexander P., Roden, Michael, Rohde, Rebecca, Roll, Katheryn, Sabanayagam, Charumathi, Sandow, Kevin, Sankareswaran, Alagu, Sattar, Naveed, Schönherr, Sebastian, Shahriar, Mohammad, Shen, Botong, Shi, Jinxiu, Shin, Dong Mun, Shojima, Nobuhiro, Smith, Jennifer A., So, Wing Yee, Stančáková, Alena, Steinthorsdottir, Valgerdur, Stilp, Adrienne M., Strauch, Konstantin, Taylor, Kent D., Thorand, Barbara, Thorsteinsdottir, Unnur, Tomlinson, Brian, Tran, Tam C., Tsai, Fuu-Jen, Tuomilehto, Jaakko, Tusie-Luna, Teresa, Udler, Miriam S., Valladares-Salgado, Adan, van Dam, Rob M., van Klinken, Jan B., Varma, Rohit, Wacher-Rodarte, Niels, Wheeler, Eleanor, Wickremasinghe, Ananda R., van Dijk, Ko Willems, Witte, Daniel R., Yajnik, Chittaranjan S., Yamamoto, Ken, Yamamoto, Kenichi, Yoon, Kyungheon, Yu, Canqing, Yuan, Jian-Min, Yusuf, Salim, Zawistowski, Matthew, Zhang, Liang, Zheng, Wei, Raffel, Leslie J., Igase, Michiya, Ipp, Eli, Redline, Susan, Cho, Yoon Shin, Lind, Lars, Province, Michael A., Fornage, Myriam, Hanis, Craig L., Ingelsson, Erik, Zonderman, Alan B., Psaty, Bruce M., Wang, Ya-Xing, Rotimi, Charles N., Becker, Diane M., Matsuda, Fumihiko, Liu, Yongmei, Yokota, Mitsuhiro, Kardia, Sharon L. R., Peyser, Patricia A., Pankow, James S., Engert, James C., Bonnefond, Amélie, Froguel, Philippe, Wilson, James G., Sheu, Wayne H. H., Wu, Jer-Yuarn, Hayes, M. Geoffrey, Ma, Ronald C. W., Wong, Tien-Yin, Mook-Kanamori, Dennis O., Tuomi, Tiinamaija, Chandak, Giriraj R., Collins, Francis S., Bharadwaj, Dwaipayan, Paré, Guillaume, Sale, Michèle M., Ahsan, Habibul, Motala, Ayesha A., Shu, Xiao-Ou, Park, Kyong-Soo, Jukema, J. Wouter, Cruz, Miguel, Chen, Yii-Der Ida, Rich, Stephen S., McKean-Cowdin, Roberta, Grallert, Harald, Cheng, Ching-Yu, Ghanbari, Mohsen, Tai, E-Shyong, Dupuis, Josee, Kato, Norihiro, Laakso, Markku, Köttgen, Anna, Koh, Woon-Puay, Bowden, Donald W., Palmer, Colin N. A., Kooner, Jaspal S., Kooperberg, Charles, Liu, Simin, North, Kari E., Saleheen, Danish, Hansen, Torben, Pedersen, Oluf, Wareham, Nicholas J., Lee, Juyoung, Kim, Bong-Jo, Millwood, Iona Y., Walters, Robin G., Stefansson, Kari, Ahlqvist, Emma, Goodarzi, Mark O., Mohlke, Karen L., Langenberg, Claudia, Haiman, Christopher A., Loos, Ruth J. F., Florez, Jose C., Rader, Daniel J., Ritchie, Marylyn D., Zöllner, Sebastian, Mägi, Reedik, Marston, Nicholas A., Ruff, Christian T., van Heel, David A., Finer, Sarah, Denny, Joshua C., Yamauchi, Toshimasa, Kadowaki, Takashi, Chambers, John C., Ng, Maggie C. Y., Sim, Xueling, Below, Jennifer E., Tsao, Philip S., Chang, Kyong-Mi, McCarthy, Mark I., Meigs, James B., Mahajan, Anubha, Spracklen, Cassandra N., Mercader, Josep M., Boehnke, Michael, Rotter, Jerome I., Vujkovic, Marijana, Voight, Benjamin F., Morris, Andrew P., and Zeggini, Eleftheria
Published: 2024
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3. Large-scale association analyses identify host factors influencing human gut microbiome composition

Author: Kurilshikov, Alexander, Medina-Gomez, Carolina, Bacigalupe, Rodrigo, Radjabzadeh, Djawad, Wang, Jun, Demirkan, Ayse, Le Roy, Caroline I, Raygoza Garay, Juan Antonio, Finnicum, Casey T, Liu, Xingrong, Zhernakova, Daria V, Bonder, Marc Jan, Hansen, Tue H, Frost, Fabian, Rühlemann, Malte C, Turpin, Williams, Moon, Jee-Young, Kim, Han-Na, Lüll, Kreete, Barkan, Elad, Shah, Shiraz A, Fornage, Myriam, Szopinska-Tokov, Joanna, Wallen, Zachary D, Borisevich, Dmitrii, Agreus, Lars, Andreasson, Anna, Bang, Corinna, Bedrani, Larbi, Bell, Jordana T, Bisgaard, Hans, Boehnke, Michael, Boomsma, Dorret I, Burk, Robert D, Claringbould, Annique, Croitoru, Kenneth, Davies, Gareth E, van Duijn, Cornelia M, Duijts, Liesbeth, Falony, Gwen, Fu, Jingyuan, van der Graaf, Adriaan, Hansen, Torben, Homuth, Georg, Hughes, David A, Ijzerman, Richard G, Jackson, Matthew A, Jaddoe, Vincent WV, Joossens, Marie, Jørgensen, Torben, Keszthelyi, Daniel, Knight, Rob, Laakso, Markku, Laudes, Matthias, Launer, Lenore J, Lieb, Wolfgang, Lusis, Aldons J, Masclee, Ad AM, Moll, Henriette A, Mujagic, Zlatan, Qibin, Qi, Rothschild, Daphna, Shin, Hocheol, Sørensen, Søren J, Steves, Claire J, Thorsen, Jonathan, Timpson, Nicholas J, Tito, Raul Y, Vieira-Silva, Sara, Völker, Uwe, Völzke, Henry, Võsa, Urmo, Wade, Kaitlin H, Walter, Susanna, Watanabe, Kyoko, Weiss, Stefan, Weiss, Frank U, Weissbrod, Omer, Westra, Harm-Jan, Willemsen, Gonneke, Payami, Haydeh, Jonkers, Daisy MAE, Arias Vasquez, Alejandro, de Geus, Eco JC, Meyer, Katie A, Stokholm, Jakob, Segal, Eran, Org, Elin, Wijmenga, Cisca, Kim, Hyung-Lae, Kaplan, Robert C, Spector, Tim D, Uitterlinden, Andre G, Rivadeneira, Fernando, Franke, Andre, Lerch, Markus M, Franke, Lude, Sanna, Serena, D’Amato, Mauro, and Pedersen, Oluf
Subjects: Microbiology, Biological Sciences, Genetics, Human Genome, Biotechnology, Clinical Research, Digestive Diseases, Nutrition, 2.1 Biological and endogenous factors, Aetiology, Oral and gastrointestinal, Adolescent, Adult, Bifidobacterium, Child, Child, Preschool, Cohort Studies, Female, Gastrointestinal Microbiome, Genetic Variation, Genome-Wide Association Study, Humans, Lactase, Linkage Disequilibrium, Male, Mendelian Randomization Analysis, Metabolism, Quantitative Trait Loci, RNA, Ribosomal, 16S, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: To study the effect of host genetics on gut microbiome composition, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts). Microbial composition showed high variability across cohorts: only 9 of 410 genera were detected in more than 95% of samples. A genome-wide association study of host genetic variation regarding microbial taxa identified 31 loci affecting the microbiome at a genome-wide significant (P
Published: 2021

4. Alteration of Gut Microbiome in Patients With Schizophrenia Indicates Links Between Bacterial Tyrosine Biosynthesis and Cognitive Dysfunction

Author: Thirion, Florence, Speyer, Helene, Hansen, Tue Haldor, Nielsen, Trine, Fan, Yong, Le Chatelier, Emmanuelle, Fromentin, Sébastien, Berland, Magali, Plaza Oñate, Florian, Pons, Nicolas, Galleron, Nathalie, Levenez, Florence, Markó, Lajos, Birkner, Till, Jørgensen, Torben, Forslund, Sofia K., Vestergaard, Henrik, Hansen, Torben, Nordentoft, Merete, Mors, Ole, Benros, Michael E., Pedersen, Oluf, and Ehrlich, Stanislav D.
Published: 2023
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5. A saturated map of common genetic variants associated with human height

Author: Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U., Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D., Graham, Sarah E., Mukamel, Ronen E., Spracklen, Cassandra N., Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H., Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E., Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S., Akiyama, Masato, Allison, Matthew A., Alvarez, Marcus, Andersen, Mette K., Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F., Bollepalli, Sailalitha, Bonnycastle, Lori L., Bork-Jensen, Jette, Bradfield, Jonathan P., Bradford, Yuki, Braund, Peter S., Brody, Jennifer A., Burgdorf, Kristoffer S., Cade, Brian E., Cai, Hui, Cai, Qiuyin, Campbell, Archie, Cañadas-Garre, Marisa, Catamo, Eulalia, Chai, Jin-Fang, Chai, Xiaoran, Chang, Li-Ching, Chang, Yi-Cheng, Chen, Chien-Hsiun, Chesi, Alessandra, Choi, Seung Hoan, Chung, Ren-Hua, Cocca, Massimiliano, Concas, Maria Pina, Couture, Christian, Cuellar-Partida, Gabriel, Danning, Rebecca, Daw, E. Warwick, Degenhard, Frauke, Delgado, Graciela E., Delitala, Alessandro, Demirkan, Ayse, Deng, Xuan, Devineni, Poornima, Dietl, Alexander, Dimitriou, Maria, Dimitrov, Latchezar, Dorajoo, Rajkumar, Ekici, Arif B., Engmann, Jorgen E., Fairhurst-Hunter, Zammy, Farmaki, Aliki-Eleni, Faul, Jessica D., Fernandez-Lopez, Juan-Carlos, Forer, Lukas, Francescatto, Margherita, Freitag-Wolf, Sandra, Fuchsberger, Christian, Galesloot, Tessel E., Gao, Yan, Gao, Zishan, Geller, Frank, Giannakopoulou, Olga, Giulianini, Franco, Gjesing, Anette P., Goel, Anuj, Gordon, Scott D., Gorski, Mathias, Grove, Jakob, Guo, Xiuqing, Gustafsson, Stefan, Haessler, Jeffrey, Hansen, Thomas F., Havulinna, Aki S., Haworth, Simon J., He, Jing, Heard-Costa, Nancy, Hebbar, Prashantha, Hindy, George, Ho, Yuk-Lam A., Hofer, Edith, Holliday, Elizabeth, Horn, Katrin, Hornsby, Whitney E., Hottenga, Jouke-Jan, Huang, Hongyan, Huang, Jie, Huerta-Chagoya, Alicia, Huffman, Jennifer E., Hung, Yi-Jen, Huo, Shaofeng, Hwang, Mi Yeong, Iha, Hiroyuki, Ikeda, Daisuke D., Isono, Masato, Jackson, Anne U., Jäger, Susanne, Jansen, Iris E., Johansson, Ingegerd, Jonas, Jost B., Jonsson, Anna, Jørgensen, Torben, Kalafati, Ioanna-Panagiota, Kanai, Masahiro, Kanoni, Stavroula, Kårhus, Line L., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kawaguchi, Takahisa, Kember, Rachel L., Kentistou, Katherine A., Kim, Han-Na, Kim, Young Jin, Kleber, Marcus E., Knol, Maria J., Kurbasic, Azra, Lauzon, Marie, Le, Phuong, Lea, Rodney, Lee, Jong-Young, Leonard, Hampton L., Li, Shengchao A., Li, Xiaohui, Li, Xiaoyin, Liang, Jingjing, Lin, Honghuang, Lin, Shih-Yi, Liu, Jun, Liu, Xueping, Lo, Ken Sin, Long, Jirong, Lores-Motta, Laura, Luan, Jian’an, Lyssenko, Valeriya, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamakou, Vasiliki, Mangino, Massimo, Manichaikul, Ani, Marten, Jonathan, Mattheisen, Manuel, Mavarani, Laven, McDaid, Aaron F., Meidtner, Karina, Melendez, Tori L., Mercader, Josep M., Milaneschi, Yuri, Miller, Jason E., Millwood, Iona Y., Mishra, Pashupati P., Mitchell, Ruth E., Møllehave, Line T., Morgan, Anna, Mucha, Soeren, Munz, Matthias, Nakatochi, Masahiro, Nelson, Christopher P., Nethander, Maria, Nho, Chu Won, Nielsen, Aneta A., Nolte, Ilja M., Nongmaithem, Suraj S., Noordam, Raymond, Ntalla, Ioanna, Nutile, Teresa, Pandit, Anita, Christofidou, Paraskevi, Pärna, Katri, Pauper, Marc, Petersen, Eva R. B., Petersen, Liselotte V., Pitkänen, Niina, Polašek, Ozren, Poveda, Alaitz, Preuss, Michael H., Pyarajan, Saiju, Raffield, Laura M., Rakugi, Hiromi, Ramirez, Julia, Rasheed, Asif, Raven, Dennis, Rayner, Nigel W., Riveros, Carlos, Rohde, Rebecca, Ruggiero, Daniela, Ruotsalainen, Sanni E., Ryan, Kathleen A., Sabater-Lleal, Maria, Saxena, Richa, Scholz, Markus, Sendamarai, Anoop, Shen, Botong, Shi, Jingchunzi, Shin, Jae Hun, Sidore, Carlo, Sitlani, Colleen M., Slieker, Roderick C., Smit, Roelof A. J., Smith, Albert V., Smith, Jennifer A., Smyth, Laura J., Southam, Lorraine, Steinthorsdottir, Valgerdur, Sun, Liang, Takeuchi, Fumihiko, Tallapragada, Divya Sri Priyanka, Taylor, Kent D., Tayo, Bamidele O., Tcheandjieu, Catherine, Terzikhan, Natalie, Tesolin, Paola, Teumer, Alexander, Theusch, Elizabeth, Thompson, Deborah J., Thorleifsson, Gudmar, Timmers, Paul R. H. J., Trompet, Stella, Turman, Constance, Vaccargiu, Simona, van der Laan, Sander W., van der Most, Peter J., van Klinken, Jan B., van Setten, Jessica, Verma, Shefali S., Verweij, Niek, Veturi, Yogasudha, Wang, Carol A., Wang, Chaolong, Wang, Lihua, Wang, Zhe, Warren, Helen R., Bin Wei, Wen, Wickremasinghe, Ananda R., Wielscher, Matthias, Wiggins, Kerri L., Winsvold, Bendik S., Wong, Andrew, Wu, Yang, Wuttke, Matthias, Xia, Rui, Xie, Tian, Yamamoto, Ken, Yang, Jingyun, Yao, Jie, Young, Hannah, Yousri, Noha A., Yu, Lei, Zeng, Lingyao, Zhang, Weihua, Zhang, Xinyuan, Zhao, Jing-Hua, Zhao, Wei, Zhou, Wei, Zimmermann, Martina E., Zoledziewska, Magdalena, Adair, Linda S., Adams, Hieab H. H., Aguilar-Salinas, Carlos A., Al-Mulla, Fahd, Arnett, Donna K., Asselbergs, Folkert W., Åsvold, Bjørn Olav, Attia, John, Banas, Bernhard, Bandinelli, Stefania, Bennett, David A., Bergler, Tobias, Bharadwaj, Dwaipayan, Biino, Ginevra, Bisgaard, Hans, Boerwinkle, Eric, Böger, Carsten A., Bønnelykke, Klaus, Boomsma, Dorret I., Børglum, Anders D., Borja, Judith B., Bouchard, Claude, Bowden, Donald W., Brandslund, Ivan, Brumpton, Ben, Buring, Julie E., Caulfield, Mark J., Chambers, John C., Chandak, Giriraj R., Chanock, Stephen J., Chaturvedi, Nish, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Ching-Yu, Christophersen, Ingrid E., Ciullo, Marina, Cole, John W., Collins, Francis S., Cooper, Richard S., Cruz, Miguel, Cucca, Francesco, Cupples, L. Adrienne, Cutler, Michael J., Damrauer, Scott M., Dantoft, Thomas M., de Borst, Gert J., de Groot, Lisette C. P. G. M., De Jager, Philip L., de Kleijn, Dominique P. V., Janaka de Silva, H., Dedoussis, George V., den Hollander, Anneke I., Du, Shufa, Easton, Douglas F., Elders, Petra J. M., Eliassen, A. Heather, Ellinor, Patrick T., Elmståhl, Sölve, Erdmann, Jeanette, Evans, Michele K., Fatkin, Diane, Feenstra, Bjarke, Feitosa, Mary F., Ferrucci, Luigi, Ford, Ian, Fornage, Myriam, Franke, Andre, Franks, Paul W., Freedman, Barry I., Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Goddard, Michael E., Golightly, Yvonne M., Gonzalez-Villalpando, Clicerio, Gordon-Larsen, Penny, Grallert, Harald, Grant, Struan F. A., Grarup, Niels, Griffiths, Lyn, Gudnason, Vilmundur, Haiman, Christopher, Hakonarson, Hakon, Hansen, Torben, Hartman, Catharina A., Hattersley, Andrew T., Hayward, Caroline, Heckbert, Susan R., Heng, Chew-Kiat, Hengstenberg, Christian, Hewitt, Alex W., Hishigaki, Haretsugu, Hoyng, Carel B., Huang, Paul L., Huang, Wei, Hunt, Steven C., Hveem, Kristian, Hyppönen, Elina, Iacono, William G., Ichihara, Sahoko, Ikram, M. Arfan, Isasi, Carmen R., Jackson, Rebecca D., Jarvelin, Marjo-Riitta, Jin, Zi-Bing, Jöckel, Karl-Heinz, Joshi, Peter K., Jousilahti, Pekka, Jukema, J. Wouter, Kähönen, Mika, Kamatani, Yoichiro, Kang, Kui Dong, Kaprio, Jaakko, Kardia, Sharon L. R., Karpe, Fredrik, Kato, Norihiro, Kee, Frank, Kessler, Thorsten, Khera, Amit V., Khor, Chiea Chuen, Kiemeney, Lambertus A. L. M., Kim, Bong-Jo, Kim, Eung Kweon, Kim, Hyung-Lae, Kirchhof, Paulus, Kivimaki, Mika, Koh, Woon-Puay, Koistinen, Heikki A., Kolovou, Genovefa D., Kooner, Jaspal S., Kooperberg, Charles, Köttgen, Anna, Kovacs, Peter, Kraaijeveld, Adriaan, Kraft, Peter, Krauss, Ronald M., Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lange, Leslie A., Langenberg, Claudia, Launer, Lenore J., Le Marchand, Loic, Lee, Hyejin, Lee, Nanette R., Lehtimäki, Terho, Li, Huaixing, Li, Liming, Lieb, Wolfgang, Lin, Xu, Lind, Lars, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Loeffler, Markus, London, Barry, Lubitz, Steven A., Lye, Stephen J., Mackey, David A., Mägi, Reedik, Magnusson, Patrik K. E., Marcus, Gregory M., Vidal, Pedro Marques, Martin, Nicholas G., März, Winfried, Matsuda, Fumihiko, McGarrah, Robert W., McGue, Matt, McKnight, Amy Jayne, Medland, Sarah E., Mellström, Dan, Metspalu, Andres, Mitchell, Braxton D., Mitchell, Paul, Mook-Kanamori, Dennis O., Morris, Andrew D., Mucci, Lorelei A., Munroe, Patricia B., Nalls, Mike A., Nazarian, Saman, Nelson, Amanda E., Neville, Matt J., Newton-Cheh, Christopher, Nielsen, Christopher S., Nöthen, Markus M., Ohlsson, Claes, Oldehinkel, Albertine J., Orozco, Lorena, Pahkala, Katja, Pajukanta, Päivi, Palmer, Colin N. A., Parra, Esteban J., Pattaro, Cristian, Pedersen, Oluf, Pennell, Craig E., Penninx, Brenda W. J. H., Perusse, Louis, Peters, Annette, Peyser, Patricia A., Porteous, David J., Posthuma, Danielle, Power, Chris, Pramstaller, Peter P., Province, Michael A., Qi, Qibin, Qu, Jia, Rader, Daniel J., Raitakari, Olli T., Ralhan, Sarju, Rallidis, Loukianos S., Rao, Dabeeru C., Redline, Susan, Reilly, Dermot F., Reiner, Alexander P., Rhee, Sang Youl, Ridker, Paul M., Rienstra, Michiel, Ripatti, Samuli, Ritchie, Marylyn D., Roden, Dan M., Rosendaal, Frits R., Rotter, Jerome I., Rudan, Igor, Rutters, Femke, Sabanayagam, Charumathi, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sanghera, Dharambir K., Sattar, Naveed, Schmidt, Börge, Schmidt, Helena, Schmidt, Reinhold, Schulze, Matthias B., Schunkert, Heribert, Scott, Laura J., Scott, Rodney J., Sever, Peter, Shiroma, Eric J., Shoemaker, M. Benjamin, Shu, Xiao-Ou, Simonsick, Eleanor M., Sims, Mario, Singh, Jai Rup, Singleton, Andrew B., Sinner, Moritz F., Smith, J. Gustav, Snieder, Harold, Spector, Tim D., Stampfer, Meir J., Stark, Klaus J., Strachan, David P., ‘t Hart, Leen M., Tabara, Yasuharu, Tang, Hua, Tardif, Jean-Claude, Thanaraj, Thangavel A., Timpson, Nicholas J., Tönjes, Anke, Tremblay, Angelo, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Tusié-Luna, Maria-Teresa, Uitterlinden, Andre G., van Dam, Rob M., van der Harst, Pim, Van der Velde, Nathalie, van Duijn, Cornelia M., van Schoor, Natasja M., Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wacher-Rodarte, Niels H., Walker, Mark, Wang, Ya Xing, Wareham, Nicholas J., Watanabe, Richard M., Watkins, Hugh, Weir, David R., Werge, Thomas M., Widen, Elisabeth, Wilkens, Lynne R., Willemsen, Gonneke, Willett, Walter C., Wilson, James F., Wong, Tien-Yin, Woo, Jeong-Taek, Wright, Alan F., Wu, Jer-Yuarn, Xu, Huichun, Yajnik, Chittaranjan S., Yokota, Mitsuhiro, Yuan, Jian-Min, Zeggini, Eleftheria, Zemel, Babette S., Zheng, Wei, Zhu, Xiaofeng, Zmuda, Joseph M., Zonderman, Alan B., Zwart, John-Anker, Chasman, Daniel I., Cho, Yoon Shin, Heid, Iris M., McCarthy, Mark I., Ng, Maggie C. Y., O’Donnell, Christopher J., Rivadeneira, Fernando, Thorsteinsdottir, Unnur, Sun, Yan V., Tai, E. Shyong, Boehnke, Michael, Deloukas, Panos, Justice, Anne E., Lindgren, Cecilia M., Loos, Ruth J. F., Mohlke, Karen L., North, Kari E., Stefansson, Kari, Walters, Robin G., Winkler, Thomas W., Young, Kristin L., Loh, Po-Ru, Yang, Jian, Esko, Tõnu, Assimes, Themistocles L., Auton, Adam, Abecasis, Goncalo R., Willer, Cristen J., Locke, Adam E., Berndt, Sonja I., Lettre, Guillaume, Frayling, Timothy M., Okada, Yukinori, Wood, Andrew R., Visscher, Peter M., and Hirschhorn, Joel N.
Published: 2022
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6. Neuroticism and adverse life events are important determinants in functional somatic disorders: the DanFunD study

Author: Weinreich Petersen, Marie, Wisbech Carstensen, Tina Birgitte, Frostholm, Lisbeth, Bro Wellnitz, Kaare, Ørnbøl, Eva, Tandrup Lamm, Thomas, Meinertz Dantoft, Thomas, Falgaard Eplov, Lene, Jørgensen, Torben, and Fink, Per
Published: 2022
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7. Fluctuation of functional somatic disorders in a population-based cohort. The DanFunD study.

Author: Schovsbo, Signe U., Kårhus, Line L., Bjerregaard, Anne A., Petersen, Marie W., Frostholm, Lisbeth, Fink, Per, Carstensen, Tina B. W., Eplov, Lene F., Benros, Michael E., Brix, Susanne, Madsen, Anja L., Linneberg, Allan, Dantoft, Thomas M., and Jørgensen, Torben
Subjects: MULTIPLE chemical sensitivity, FATIGUE (Physiology), CHRONIC pain, STATISTICAL sampling, SYMPTOMS
Abstract: Background: Evidence of incidence of functional somatic disorders (FSD) is hampered by unclear delimitations of the conditions and little is known about the possible interchangeability between syndromes. Further, knowledge on remission and persistence of FSD in the general population is limited. We aimed to assess the natural course of various FSD over 5 years in the general population. Methods: A follow-up study (Danish Study of Functional Disorders—DanFunD) was conducted in a random sample of the general population comprising 5,738 participants aged 18–76 years at baseline. Both at baseline and five-year follow-up, participants filled in validated questionnaires on symptoms to delimitate two approaches of FSD, the bodily distress syndrome (BDS) and four functional somatic syndromes (FSS): irritable bowel (IB), chronic fatigue (CF), chronic widespread pain (CWP), and multiple chemical sensitivity (MCS). Results: Both BDS and FSS showed a five-year incidence around 11%. Incidence of the individual FSS varied from 0.8% (MCS) to 5.7% (CF). BDS and FSS showed a remission proportion close to 50%. We found a high degree of interchangeability between each FSS varying from 15.0% to 23.4%. Conclusion: We identified a marked fluctuation pattern of FSD during a five-year period, with a high degree of interchangeability between each FSS. The study stresses the importance of large population-based cohorts with transparent delimitation of FSD in future research to understand these complex conditions. [ABSTRACT FROM AUTHOR]
Published: 2024
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8. 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, ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, 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, and Lin, Keng-Hung
Subjects: ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Chromosome Mapping, Alleles, European Continental Ancestry Group, Female, Male, Genetic Variation, Genome-Wide Association Study, Whole Exome Sequencing, Diabetes Mellitus, Type 2, Developmental Biology, Biological Sciences, Medical and Health Sciences
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
Published: 2018

9. The Danish Investigation on Iodine Intake and Thyroid Disease (DanThyr): history and implications

Author: Møllehave, Line Tang, primary, Knudsen, Nils Jakob, additional, Linneberg, Allan, additional, Bülow Pedersen, Inge, additional, Ravn-Haren, Gitte, additional, Madsen, Anja Lykke, additional, Carle, Allan, additional, Cerqueira, Charlotte, additional, Krejbjerg, Anne, additional, Rasmussen, Lone Banke, additional, Ovesen, Lars, additional, Perrild, Hans, additional, Sigurd, Lena Bjergved, additional, Thuesen, Betina Heinsbæk, additional, Vejbjerg, Pernille, additional, and Jørgensen, Torben, additional
Published: 2024
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10. An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

Author: Scott, Robert A, Scott, Laura J, Mägi, Reedik, Marullo, Letizia, Gaulton, Kyle J, Kaakinen, Marika, Pervjakova, Natalia, Pers, Tune H, Johnson, Andrew D, Eicher, John D, Jackson, Anne U, Ferreira, Teresa, Lee, Yeji, Ma, Clement, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Van Zuydam, Natalie R, Mahajan, Anubha, Chen, Han, Almgren, Peter, Voight, Ben F, Grallert, Harald, Müller-Nurasyid, Martina, Ried, Janina S, Rayner, William N, Robertson, Neil, Karssen, Lennart C, van Leeuwen, Elisabeth M, Willems, Sara M, Fuchsberger, Christian, Kwan, Phoenix, Teslovich, Tanya M, Chanda, Pritam, Li, Man, Lu, Yingchang, Dina, Christian, Thuillier, Dorothee, Yengo, Loic, Jiang, Longda, Sparso, Thomas, Kestler, Hans A, Chheda, Himanshu, Eisele, Lewin, Gustafsson, Stefan, Frånberg, Mattias, Strawbridge, Rona J, Benediktsson, Rafn, Hreidarsson, Astradur B, Kong, Augustine, Sigurðsson, Gunnar, Kerrison, Nicola D, Luan, Jian'an, Liang, Liming, Meitinger, Thomas, Roden, Michael, Thorand, Barbara, Esko, Tõnu, Mihailov, Evelin, Fox, Caroline, Liu, Ching-Ti, Rybin, Denis, Isomaa, Bo, Lyssenko, Valeriya, Tuomi, Tiinamaija, Couper, David J, Pankow, James S, Grarup, Niels, Have, Christian T, Jørgensen, Marit E, Jørgensen, Torben, Linneberg, Allan, Cornelis, Marilyn C, van Dam, Rob M, Hunter, David J, Kraft, Peter, Sun, Qi, Edkins, Sarah, Owen, Katharine R, Perry, John RB, Wood, Andrew R, Zeggini, Eleftheria, Tajes-Fernandes, Juan, Abecasis, Goncalo R, Bonnycastle, Lori L, Chines, Peter S, Stringham, Heather M, Koistinen, Heikki A, Kinnunen, Leena, Sennblad, Bengt, Mühleisen, Thomas W, Nöthen, Markus M, Pechlivanis, Sonali, Baldassarre, Damiano, Gertow, Karl, Humphries, Steve E, Tremoli, Elena, Klopp, Norman, Meyer, Julia, and Steinbach, Gerald
Subjects: Human Genome, Diabetes, Obesity, Genetics, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Diabetes Mellitus, Type 2, Gene Expression Regulation, Genetic Variation, Genome-Wide Association Study, Humans, White People, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Medical and Health Sciences, Endocrinology & Metabolism
Abstract: To characterize type 2 diabetes (T2D)-associated variation across the allele frequency spectrum, we conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel. Promising association signals were followed up in additional data sets (of 14,545 or 7,397 T2D case and 38,994 or 71,604 control subjects). We identified 13 novel T2D-associated loci (P < 5 × 10-8), including variants near the GLP2R, GIP, and HLA-DQA1 genes. Our analysis brought the total number of independent T2D associations to 128 distinct signals at 113 loci. Despite substantially increased sample size and more complete coverage of low-frequency variation, all novel associations were driven by common single nucleotide variants. Credible sets of potentially causal variants were generally larger than those based on imputation with earlier reference panels, consistent with resolution of causal signals to common risk haplotypes. Stratification of T2D-associated loci based on T2D-related quantitative trait associations revealed tissue-specific enrichment of regulatory annotations in pancreatic islet enhancers for loci influencing insulin secretion and in adipocytes, monocytes, and hepatocytes for insulin action-associated loci. These findings highlight the predominant role played by common variants of modest effect and the diversity of biological mechanisms influencing T2D pathophysiology.
Published: 2017

11. Forhold af betydning for naturgenopretning af stenrev

Author: Stæhr, Peter A. U., Canal-Vergés, Paula, Dahl, Karsten, Göke, Cordula, Holbach, Andreas Michael, Krause-Jensen, Dorte, Steinfurth, Rune C. H., Svendsen, Jon C., Jørgensen, Torben B., Stæhr, Peter A. U., Canal-Vergés, Paula, Dahl, Karsten, Göke, Cordula, Holbach, Andreas Michael, Krause-Jensen, Dorte, Steinfurth, Rune C. H., Svendsen, Jon C., and Jørgensen, Torben B.
Abstract: Rapporten beskriver hvad naturlige stenrev er, hvor de findes og hvor man historisk har udført stenfiskeri. Vigtigheden af vandkvalitet samt fysiske og biologiske forhold for livet på naturlige stenrev i danske farvande gennemgås. Endelig sammenstiller rapporten de forskellige økosystemydelser som er knyttet til stenrev og leverer vigtige overordnede anbefalinger., Rapporten beskriver hvad naturlige stenrev er, hvor de findes og hvor man historisk har udført stenfiskeri. Vigtigheden af vandkvalitet samt fysiske og biologiske forhold for livet på naturlige stenrev i danske farvande gennemgås. Endelig sammenstiller rapporten de forskellige økosystemydelser som er knyttet til stenrev og leverer vigtige overordnede anbefalinger.
Published: 2024

12. Vejledning til naturgenopretning af stenrev

Author: Dahl, Karsten, Stæhr, Peter A., Göke, Cordula, Svendsen, Jon Christian, Steinfurth, Rune C. H., Bramming Jørgensen, Torben, Dahl, Karsten, Stæhr, Peter A., Göke, Cordula, Svendsen, Jon Christian, Steinfurth, Rune C. H., and Bramming Jørgensen, Torben
Abstract: Denne rapport præciserer, hvad naturgenopretning af stenrev omfatter, og beskriver den anbefalede proces til udpegning og gennemførelse af genopretningsprojekter. Rapporten giver også en oversigt over relevante regler, tilladelser og myndigheder i forhold til genopretning af stenrev i danske kystnære farvande. Der gives også anbefalinger omkring overvågning af revenes udvikling samt eksempler på design af stenrev og omkostninger forbundet med naturgenopretning af stenrev., Denne rapport præciserer, hvad naturgenopretning af stenrev omfatter, og beskriver den anbefalede proces til udpegning og gennemførelse af genopretningsprojekter. Rapporten giver også en oversigt over relevante regler, tilladelser og myndigheder i forhold til genopretning af stenrev i danske kystnære farvande. Der gives også anbefalinger omkring overvågning af revenes udvikling samt eksempler på design af stenrev og omkostninger forbundet med naturgenopretning af stenrev.
Published: 2024

13. The Danish investigation on iodine intake and thyroid disease (DanThyr):history and implications

Author: Møllehave, Line Tang, Knudsen, Nils, Linneberg, Allan, Pedersen, Inge Bülow, Ravn-Haren, Gitte, Madsen, Anja Lykke, Carlé, Allan, Cerqueira, Charlotte, Krejbjerg, Anne, Rasmussen, Lone Banke, Ovesen, Lars, Perrild, Hans, Sigurd, Lena Bjergved, Thuesen, Betina Heinsbæk, Vejbjerg, Pernille, Jørgensen, Torben, Møllehave, Line Tang, Knudsen, Nils, Linneberg, Allan, Pedersen, Inge Bülow, Ravn-Haren, Gitte, Madsen, Anja Lykke, Carlé, Allan, Cerqueira, Charlotte, Krejbjerg, Anne, Rasmussen, Lone Banke, Ovesen, Lars, Perrild, Hans, Sigurd, Lena Bjergved, Thuesen, Betina Heinsbæk, Vejbjerg, Pernille, and Jørgensen, Torben
Abstract: Due to mild-to-moderate iodine deficiency in Denmark, health authorities initiated a voluntary iodine fortification (IF) program in 1998, which became mandatory in 2000. In line with recommendations from the World Health Organization, the Danish investigation on iodine intake and thyroid disease (DanThyr) was established to monitor the effect on thyroid health and disease. The program involved different study designs and followed two Danish sub-populations in the years before IF and up till 20 years after. Results showed that the IF was successfully implemented and increased the level of iodine intake from mild–moderate iodine deficiency to low adequacy. The level of thyroglobulin and thyroid volume decreased following IF, and there was an indication of fewer thyroid nodules. The incidence of hyperthyroidism increased transiently following IF but subsequently decreased below the pre-fortification level. Conversely, thyroid-stimulating hormone levels and the prevalence of thyroid autoimmunity increased along with an increase in the incidence of hypothyroidism. These trends were mirrored in the trends in treatments for thyroid disease. Most differences in thyroid health and disease between regions with different iodine intake levels before IF attenuated. This review illustrates the importance of a monitoring program to detect both beneficial and adverse effects and exemplifies how a monitoring program can be conducted when a nationwide health promotion program – as IF – is initiated. Keywords: epidemiology; iodine; public health; thyroid disease, Due to mild-to-moderate iodine deficiency in Denmark, health authorities initiated a voluntary iodine fortification (IF) program in 1998, which became mandatory in 2000. In line with recommendations from the World Health Organization, the Danish investigation on iodine intake and thyroid disease (DanThyr) was established to monitor the effect on thyroid health and disease. The program involved different study designs and followed two Danish sub-populations in the years before IF and up till 20 years after. Results showed that the IF was successfully implemented and increased the level of iodine intake from mild-moderate iodine deficiency to low adequacy. The level of thyroglobulin and thyroid volume decreased following IF, and there was an indication of fewer thyroid nodules. The incidence of hyperthyroidism increased transiently following IF but subsequently decreased below the pre-fortification level. Conversely, thyroid-stimulating hormone levels and the prevalence of thyroid autoimmunity increased along with an increase in the incidence of hypothyroidism. These trends were mirrored in the trends in treatments for thyroid disease. Most differences in thyroid health and disease between regions with different iodine intake levels before IF attenuated. This review illustrates the importance of a monitoring program to detect both beneficial and adverse effects and exemplifies how a monitoring program can be conducted when a nationwide health promotion program - as IF - is initiated.
Published: 2024

14. Cohort Profile Update:The Glostrup Population Studies 1964-2024

Author: Møllehave, Line Tang, Madsen, Anja Lykke, Kampmann, Freja Bach, Bjerregaard, Anne Ahrendt, Dantoft, Thomas Meinertz, Leth-Møller, Katja Biering, Thysen, Sanne Marie, Schovsbo, Signe Ulfbeck, Jacobsen, Rikke Kart, Aadahl, Mette, Osler, Merete, Jørgensen, Torben, Linneberg, Allan, Kårhus, Line Lund, Møllehave, Line Tang, Madsen, Anja Lykke, Kampmann, Freja Bach, Bjerregaard, Anne Ahrendt, Dantoft, Thomas Meinertz, Leth-Møller, Katja Biering, Thysen, Sanne Marie, Schovsbo, Signe Ulfbeck, Jacobsen, Rikke Kart, Aadahl, Mette, Osler, Merete, Jørgensen, Torben, Linneberg, Allan, and Kårhus, Line Lund
Published: 2024

15. Worldwide trends in underweight and obesity from 1990 to 2022:a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Author: Phelps, Nowell H., Singleton, Rosie K., Zhou, Bin, Heap, Rachel A., Mishra, Anu, Bennett, James E., Paciorek, Christopher J., Lhoste, Victor PF, Carrillo-Larco, Rodrigo M., Stevens, Gretchen A., Rodriguez-Martinez, Andrea, Bixby, Honor, Baker, Jennifer L., Aarestrup, Julie, Afzal, Shoaib, Allin, Kristine, Andersen, Lars Bo, Ängquist, Lars, Bjerregaard, Peter, Bojesen, Stig E., Christensen, Kaare, Damsgaard, Camilla T., Dantoft, Thomas M., Eriksen, Louise, Giwercman, Aleksander, Halkjær, Jytte, Jørgensen, Torben, Kristensen, Peter Lund, Lind, Lars, Linneberg, Allan, Liu, Jing, Liu, Liping, Madsen, Anja L., Michaelsen, Kim F., Møllehave, Line T., Mortensen, Erik Lykke, Nordestgaard, Børge G., Osler, Merete, Overvad, Kim, Schmidt, Ida Maria, Schnohr, Peter, Schramm, Stine, Sobngwi, Eugène, Sodemann, Morten, Sørensen, Thorkild IA, Tjonneland, Anne, Tolstrup, Janne S., Wang, Qian, Wang, Ying Wei, Yang, Yang, Phelps, Nowell H., Singleton, Rosie K., Zhou, Bin, Heap, Rachel A., Mishra, Anu, Bennett, James E., Paciorek, Christopher J., Lhoste, Victor PF, Carrillo-Larco, Rodrigo M., Stevens, Gretchen A., Rodriguez-Martinez, Andrea, Bixby, Honor, Baker, Jennifer L., Aarestrup, Julie, Afzal, Shoaib, Allin, Kristine, Andersen, Lars Bo, Ängquist, Lars, Bjerregaard, Peter, Bojesen, Stig E., Christensen, Kaare, Damsgaard, Camilla T., Dantoft, Thomas M., Eriksen, Louise, Giwercman, Aleksander, Halkjær, Jytte, Jørgensen, Torben, Kristensen, Peter Lund, Lind, Lars, Linneberg, Allan, Liu, Jing, Liu, Liping, Madsen, Anja L., Michaelsen, Kim F., Møllehave, Line T., Mortensen, Erik Lykke, Nordestgaard, Børge G., Osler, Merete, Overvad, Kim, Schmidt, Ida Maria, Schnohr, Peter, Schramm, Stine, Sobngwi, Eugène, Sodemann, Morten, Sørensen, Thorkild IA, Tjonneland, Anne, Tolstrup, Janne S., Wang, Qian, Wang, Ying Wei, and Yang, Yang
Abstract: Background: Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. Methods: We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5–19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school-aged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference) and obesity (BMI >2 SD above the median). Findings: From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and a
Published: 2024

16. Neuroticism, perceived stress, adverse life events and self-efficacy as predictors of the development of functional somatic disorders:longitudinal population-based study (DanFunD)

Author: Petersen, Marie Weinreich, Carstensen, Tina Birgitte Wisbech, Wellnitz, Kaare Bro, Ørnbøl, Eva, Frostholm, Lisbeth, Dantoft, Thomas Meinertz, Jørgensen, Torben, Eplov, Lene Falgaard, Fink, Per, Petersen, Marie Weinreich, Carstensen, Tina Birgitte Wisbech, Wellnitz, Kaare Bro, Ørnbøl, Eva, Frostholm, Lisbeth, Dantoft, Thomas Meinertz, Jørgensen, Torben, Eplov, Lene Falgaard, and Fink, Per
Abstract: Background Functional somatic disorder (FSD) is a unifying diagnosis that includes functional somatic syndromes such as irritable bowel, chronic widespread pain (CWP) and chronic fatigue. Several psychological factors are associated with FSD. However, longitudinal population-based studies elucidating the causal relationship are scarce. Aims To explore if neuroticism, perceived stress, adverse life events (ALEs) and self-efficacy can predict the development of FSD over a 5-year period. Method A total of 4288 individuals who participated in the DanFunD baseline and 5-year follow-up investigations were included. FSD was established at both baseline and follow-up, with symptom questionnaires and diagnostic interviews. Neuroticism was measured with the short-form NEO Personality Inventory, perceived stress with the Cohen's Perceived Stress Scale, ALEs with the Danish version of the Cumulative Lifetime Adversity Measure and self-efficacy with the General Self-Efficacy Scale. Associations were investigated with multiple logistic regression models. Results Perceived stress predicted incident FSD, irritable bowel, CWP and chronic fatigue (odds ratios: 1.04–1.17). Neuroticism predicted incident FSD and chronic fatigue (odds ratios: 1.03–1.16). ALEs predicted incident FSD, CWP and chronic fatigue (odds ratios: 1.06–1.18). An increase in perceived stress from baseline to follow-up was associated with incident FSD, irritable bowel, CWP and chronic fatigue (odds ratios: 1.05–1.22). Contrary, an increase in self-efficacy seemed to be a protective factor (odds ratios: 0.89–0.99). Conclusions High neuroticism, high perceived stress and a high number of ALEs are risk factors for the development of FSD. Particularly perceived stress seems to be an important contributor to the onset of FSD., BACKGROUND: Functional somatic disorder (FSD) is a unifying diagnosis that includes functional somatic syndromes such as irritable bowel, chronic widespread pain (CWP) and chronic fatigue. Several psychological factors are associated with FSD. However, longitudinal population-based studies elucidating the causal relationship are scarce.AIMS: To explore if neuroticism, perceived stress, adverse life events (ALEs) and self-efficacy can predict the development of FSD over a 5-year period.METHOD: A total of 4288 individuals who participated in the DanFunD baseline and 5-year follow-up investigations were included. FSD was established at both baseline and follow-up, with symptom questionnaires and diagnostic interviews. Neuroticism was measured with the short-form NEO Personality Inventory, perceived stress with the Cohen's Perceived Stress Scale, ALEs with the Danish version of the Cumulative Lifetime Adversity Measure and self-efficacy with the General Self-Efficacy Scale. Associations were investigated with multiple logistic regression models.RESULTS: Perceived stress predicted incident FSD, irritable bowel, CWP and chronic fatigue (odds ratios: 1.04-1.17). Neuroticism predicted incident FSD and chronic fatigue (odds ratios: 1.03-1.16). ALEs predicted incident FSD, CWP and chronic fatigue (odds ratios: 1.06-1.18). An increase in perceived stress from baseline to follow-up was associated with incident FSD, irritable bowel, CWP and chronic fatigue (odds ratios: 1.05-1.22). Contrary, an increase in self-efficacy seemed to be a protective factor (odds ratios: 0.89-0.99).CONCLUSIONS: High neuroticism, high perceived stress and a high number of ALEs are risk factors for the development of FSD. Particularly perceived stress seems to be an important contributor to the onset of FSD.
Published: 2024

17. Lipid metabolism and functional somatic disorders in the general population. The DanFunD study

Author: Jørgensen, Torben, Jacobsen, Rikke Kart, Sæbye, Ditte, Petersen, Marie Weinreich, Fink, Per, Gormsen, Lise, Linneberg, Allan, Bjerregaard, Anne Ahrendt, Schovsbo, Signe Ulfbeck, Benros, Michael Eriksen, Eplov, Lene Falgaard, Jørgensen, Niklas Rye, Dantoft, Thomas Meinertz, Jørgensen, Torben, Jacobsen, Rikke Kart, Sæbye, Ditte, Petersen, Marie Weinreich, Fink, Per, Gormsen, Lise, Linneberg, Allan, Bjerregaard, Anne Ahrendt, Schovsbo, Signe Ulfbeck, Benros, Michael Eriksen, Eplov, Lene Falgaard, Jørgensen, Niklas Rye, and Dantoft, Thomas Meinertz
Abstract: OBJECTIVES: Earlier studies on the association between plasma lipid profiles and functional somatic disorders (FSD) are mainly small case control studies hampered by selection bias and do not consider the great overlap between the various FSDs. The aim of the present study was to investigate the associations between various FSDs and plasma lipid profiles (total cholesterol, HDL cholesterol, non-HDL cholesterol and triglycerides) in a large, unselected population.DESIGN: A cross-sectional general population-based study.SETTING: The Danish Study of Functional Somatic Disorders (DanFunD) conducted in 2011-2015 in 10 municipalities in the western part of greater Copenhagen, Denmark.PARTICIPANTS: A total of 8,608 men and women aged 18-76 years were included in the analyses. Various delimitations of FSD such as chronic fatigue, chronic widespread pain, irritable bowel, and bodily distress syndrome were measured using validated self-administrated questionnaires. Lipid parameters were measured from fasting plasma samples using colorimetric slide methods with Vitros 4600/5600 Ortho Clinical Diagnostics.OUTCOME MEASURES: Logistic regression analyses were used to calculate possible associations between plasma lipids and the various delimitations of FSD. Associations are presented by OR (95% CI) and shown in boxplots.RESULTS: We found a positive association between bodily distress syndrome and triglycerides and non-HDL cholesterol and a negative association with HDL-cholesterol, but no consistent association with total cholesterol. A similar pattern was observed for persons with chronic fatigue, and to some degree for persons with chronic widespread pain, whereas persons with irritable bowel did not show a clear association with the lipid profiles.CONCLUSION: This is the first major study on plasma lipid profiles and FSD indicating an association between some delimitations of FSD and an unfavorable lipid profile. Due to the cross-sec
Published: 2024

18. Normative values of short-term heart rate variability in a cross-sectional study of a Danish population:The DanFunD study

Author: Brinth, Louise S, Jørgensen, Torben, Mehlsen, Jesper, Petersen, Marie W, Gormsen, Lise, Linneberg, Allan, Fink, Per, Benros, Michael E, Dantoft, Thomas M, Brinth, Louise S, Jørgensen, Torben, Mehlsen, Jesper, Petersen, Marie W, Gormsen, Lise, Linneberg, Allan, Fink, Per, Benros, Michael E, and Dantoft, Thomas M
Abstract: AIMS: The autonomic nervous system includes parasympathetic and sympathetic components that monitor and regulate most of the bodily functions and play a central role in the physiology and homeostasis of the human body. Heart rate variability is a non-invasive tool for quantification of rhythmic fluctuations in heart rate that reflects the function of the autonomic nervous system. The study aims to describe the heart rate variability distribution in the general population, stratified in sex and age groups, which is currently insufficiently described.METHODS: A cross-sectional population-based study recruited participants in 10 municipalities in the western part of the greater Copenhagen area in Denmark, including 6891 men and women aged 18-72 years (participation rate was 29.5%). Short-term heart rate variability measures were obtained and related to age and gender.RESULTS: Both time and frequency domain measures showed a huge variation in the different sex and age groups. Women had a higher median heart rate than men, and the association with age was U-shaped. Measures indicating a predominance of the parasympathetic component in relation to the sympathetic component were more frequent in women and younger age groups.CONCLUSIONS: Both sex and age influence the heart rate variability in this adult Danish population. Therefore, our age- and sex-related reference values of heart rate variability in the time and frequency domain should be used in further epidemiological and clinical research.
Published: 2024

19. Cost-effectiveness of applying high-sensitivity troponin I to a score for cardiovascular risk prediction in asymptomatic population.

Author: Jülicher, Paul, Makarova, Nataliya, Ojeda, Francisco, Giusepi, Isabella, Peters, Annette, Thorand, Barbara, Cesana, Giancarlo, Jørgensen, Torben, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, Costanzo, Simona, Söderberg, Stefan, Kee, Frank, Giampaoli, Simona, Palmieri, Luigi, Donfrancesco, Chiara, Zeller, Tanja, Kuulasmaa, Kari, and Tuovinen, Tarja
Subjects: DISEASE risk factors, TROPONIN I, CARDIOVASCULAR diseases risk factors, COST effectiveness, QUALITY-adjusted life years
Abstract: Introduction: Risk stratification scores such as the European Systematic COronary Risk Evaluation (SCORE) are used to guide individuals on cardiovascular disease (CVD) prevention. Adding high-sensitivity troponin I (hsTnI) to such risk scores has the potential to improve accuracy of CVD prediction. We investigated how applying hsTnI in addition to SCORE may impact management, outcome, and cost-effectiveness. Methods: Characteristics of 72,190 apparently healthy individuals from the Biomarker for Cardiovascular Risk Assessment in Europe (BiomarCaRE) project were included into a discrete-event simulation comparing two strategies for assessing CVD risk. The standard strategy reflecting current practice employed SCORE (SCORE); the alternative strategy involved adding hsTnI information for further stratifying SCORE risk categories (S-SCORE). Individuals were followed over ten years from baseline examination to CVD event, death or end of follow-up. The model tracked the occurrence of events and calculated direct costs of screening, prevention, and treatment from a European health system perspective. Cost-effectiveness was expressed as incremental cost-effectiveness ratio (ICER) in € per quality-adjusted life year (QALYs) gained during 10 years of follow-up. Outputs were validated against observed rates, and results were tested in deterministic and probabilistic sensitivity analyses. Results: S-SCORE yielded a change in management for 10.0% of individuals, and a reduction in CVD events (4.85% vs. 5.38%, p<0.001) and mortality (6.80% vs. 7.04%, p<0.001). S-SCORE led to 23 (95%CI: 20–26) additional event-free years and 7 (95%CI: 5–9) additional QALYs per 1,000 subjects screened, and resulted in a relative risk reduction for CVD of 9.9% (95%CI: 7.3–13.5%) with a number needed to screen to prevent one event of 183 (95%CI: 172 to 203). S-SCORE increased costs per subject by 187€ (95%CI: 177 € to 196 €), leading to an ICER of 27,440€/QALY gained. Sensitivity analysis was performed with eligibility for treatment being the most sensitive. Conclusion: Adding a person's hsTnI value to SCORE can impact clinical decision making and eventually improves QALYs and is cost-effective compared to CVD prevention strategies using SCORE alone. Stratifying SCORE risk classes for hsTnI would likely offer cost-effective alternatives, particularly when targeting higher risk groups. [ABSTRACT FROM AUTHOR]
Published: 2024
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20. Is reduced heart rate variability associated with functional somatic disorders? A cross-sectional population-based study; DanFunD

Author: Jørgensen, Torben, primary, Dantoft, Thomas Meinertz, additional, Petersen, Marie Weinreich, additional, Gormsen, Lise, additional, Winter-Jensen, Matilde, additional, Fink, Per, additional, Linneberg, Allan, additional, Benros, Michael Eriksen, additional, Eplov, Lene Falgaard, additional, Bjerregaard, Anne Ahrendt, additional, Schovsbo, Signe Ulfbeck, additional, and Brinth, Louise Schouborg, additional
Published: 2024
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21. Lipid metabolism and functional somatic disorders in the general population. The DanFunD study

Author: Jørgensen, Torben, primary, Jacobsen, Rikke Kart, additional, Sæbye, Ditte, additional, Petersen, Marie Weinreich, additional, Fink, Per, additional, Gormsen, Lise, additional, Linneberg, Allan, additional, Bjerregaard, Anne Ahrendt, additional, Schovsbo, Signe Ulfbeck, additional, Benros, Michael Eriksen, additional, Eplov, Lene Falgaard, additional, Jørgensen, Niklas Rye, additional, and Dantoft, Thomas Meinertz, additional
Published: 2024
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22. Neuroticism, perceived stress, adverse life events and self-efficacy as predictors of the development of functional somatic disorders: longitudinal population-based study (DanFunD)

Author: Petersen, Marie Weinreich, primary, Carstensen, Tina Birgitte Wisbech, additional, Wellnitz, Kaare Bro, additional, Ørnbøl, Eva, additional, Frostholm, Lisbeth, additional, Dantoft, Thomas Meinertz, additional, Jørgensen, Torben, additional, Eplov, Lene Falgaard, additional, and Fink, Per, additional
Published: 2024
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23. Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci

Author: Walford, Geoffrey A, Gustafsson, Stefan, Rybin, Denis, Stančáková, Alena, Chen, Han, Liu, Ching-Ti, Hong, Jaeyoung, Jensen, Richard A, Rice, Ken, Morris, Andrew P, Mägi, Reedik, Tönjes, Anke, Prokopenko, Inga, Kleber, Marcus E, Delgado, Graciela, Silbernagel, Günther, Jackson, Anne U, Appel, Emil V, Grarup, Niels, Lewis, Joshua P, Montasser, May E, Landenvall, Claes, Staiger, Harald, Luan, Jian’an, Frayling, Timothy M, Weedon, Michael N, Xie, Weijia, Morcillo, Sonsoles, Martínez-Larrad, María Teresa, Biggs, Mary L, Chen, Yii-Der Ida, Corbaton-Anchuelo, Arturo, Færch, Kristine, Gómez-Zumaquero, Juan Miguel, Goodarzi, Mark O, Kizer, Jorge R, Koistinen, Heikki A, Leong, Aaron, Lind, Lars, Lindgren, Cecilia, Machicao, Fausto, Manning, Alisa K, Martín-Núñez, Gracia María, Rojo-Martínez, Gemma, Rotter, Jerome I, Siscovick, David S, Zmuda, Joseph M, Zhang, Zhongyang, Serrano-Rios, Manuel, Smith, Ulf, Soriguer, Federico, Hansen, Torben, Jørgensen, Torben J, Linnenberg, Allan, Pedersen, Oluf, Walker, Mark, Langenberg, Claudia, Scott, Robert A, Wareham, Nicholas J, Fritsche, Andreas, Häring, Hans-Ulrich, Stefan, Norbert, Groop, Leif, O’Connell, Jeff R, Boehnke, Michael, Bergman, Richard N, Collins, Francis S, Mohlke, Karen L, Tuomilehto, Jaakko, März, Winfried, Kovacs, Peter, Stumvoll, Michael, Psaty, Bruce M, Kuusisto, Johanna, Laakso, Markku, Meigs, James B, Dupuis, Josée, Ingelsson, Erik, and Florez, Jose C
Subjects: Biomedical and Clinical Sciences, Genetics, Prevention, Human Genome, Diabetes, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Chemokines, CC, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Insulin Receptor Substrate Proteins, Insulin Resistance, Male, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins c-bcl-2, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract: Genome-wide association studies (GWAS) have found few common variants that influence fasting measures of insulin sensitivity. We hypothesized that a GWAS of an integrated assessment of fasting and dynamic measures of insulin sensitivity would detect novel common variants. We performed a GWAS of the modified Stumvoll Insulin Sensitivity Index (ISI) within the Meta-Analyses of Glucose and Insulin-Related Traits Consortium. Discovery for genetic association was performed in 16,753 individuals, and replication was attempted for the 23 most significant novel loci in 13,354 independent individuals. Association with ISI was tested in models adjusted for age, sex, and BMI and in a model analyzing the combined influence of the genotype effect adjusted for BMI and the interaction effect between the genotype and BMI on ISI (model 3). In model 3, three variants reached genome-wide significance: rs13422522 (NYAP2; P = 8.87 × 10(-11)), rs12454712 (BCL2; P = 2.7 × 10(-8)), and rs10506418 (FAM19A2; P = 1.9 × 10(-8)). The association at NYAP2 was eliminated by conditioning on the known IRS1 insulin sensitivity locus; the BCL2 and FAM19A2 associations were independent of known cardiometabolic loci. In conclusion, we identified two novel loci and replicated known variants associated with insulin sensitivity. Further studies are needed to clarify the causal variant and function at the BCL2 and FAM19A2 loci.
Published: 2016

24. Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels.

Author: Kilpeläinen, Tuomas O, Carli, Jayne F Martin, Skowronski, Alicja A, Sun, Qi, Kriebel, Jennifer, Feitosa, Mary F, Hedman, Åsa K, Drong, Alexander W, Hayes, James E, Zhao, Jinghua, Pers, Tune H, Schick, Ursula, Grarup, Niels, Kutalik, Zoltán, Trompet, Stella, Mangino, Massimo, Kristiansson, Kati, Beekman, Marian, Lyytikäinen, Leo-Pekka, Eriksson, Joel, Henneman, Peter, Lahti, Jari, Tanaka, Toshiko, Luan, Jian'an, Del Greco M, Fabiola, Pasko, Dorota, Renström, Frida, Willems, Sara M, Mahajan, Anubha, Rose, Lynda M, Guo, Xiuqing, Liu, Yongmei, Kleber, Marcus E, Pérusse, Louis, Gaunt, Tom, Ahluwalia, Tarunveer S, Ju Sung, Yun, Ramos, Yolande F, Amin, Najaf, Amuzu, Antoinette, Barroso, Inês, Bellis, Claire, Blangero, John, Buckley, Brendan M, Böhringer, Stefan, I Chen, Yii-Der, de Craen, Anton JN, Crosslin, David R, Dale, Caroline E, Dastani, Zari, Day, Felix R, Deelen, Joris, Delgado, Graciela E, Demirkan, Ayse, Finucane, Francis M, Ford, Ian, Garcia, Melissa E, Gieger, Christian, Gustafsson, Stefan, Hallmans, Göran, Hankinson, Susan E, Havulinna, Aki S, Herder, Christian, Hernandez, Dena, Hicks, Andrew A, Hunter, David J, Illig, Thomas, Ingelsson, Erik, Ioan-Facsinay, Andreea, Jansson, John-Olov, Jenny, Nancy S, Jørgensen, Marit E, Jørgensen, Torben, Karlsson, Magnus, Koenig, Wolfgang, Kraft, Peter, Kwekkeboom, Joanneke, Laatikainen, Tiina, Ladwig, Karl-Heinz, LeDuc, Charles A, Lowe, Gordon, Lu, Yingchang, Marques-Vidal, Pedro, Meisinger, Christa, Menni, Cristina, Morris, Andrew P, Myers, Richard H, Männistö, Satu, Nalls, Mike A, Paternoster, Lavinia, Peters, Annette, Pradhan, Aruna D, Rankinen, Tuomo, Rasmussen-Torvik, Laura J, Rathmann, Wolfgang, Rice, Treva K, Brent Richards, J, Ridker, Paul M, Sattar, Naveed, and Savage, David B
Subjects: Adipose Tissue, Animals, Mice, Leptin, RNA, Messenger, Tissue Culture Techniques, Gene Expression Regulation, Male, Genome-Wide Association Study, Gene Knockdown Techniques, RNA, Messenger
Abstract: Leptin is an adipocyte-secreted hormone, the circulating levels of which correlate closely with overall adiposity. Although rare mutations in the leptin (LEP) gene are well known to cause leptin deficiency and severe obesity, no common loci regulating circulating leptin levels have been uncovered. Therefore, we performed a genome-wide association study (GWAS) of circulating leptin levels from 32,161 individuals and followed up loci reaching P
Published: 2016

25. Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

Author: Gaulton, Kyle J, Ferreira, Teresa, Lee, Yeji, Raimondo, Anne, Mägi, Reedik, Reschen, Michael E, Mahajan, Anubha, Locke, Adam, William Rayner, N, Robertson, Neil, Scott, Robert A, Prokopenko, Inga, Scott, Laura J, Green, Todd, Sparso, Thomas, Thuillier, Dorothee, Yengo, Loic, Grallert, Harald, Wahl, Simone, Frånberg, Mattias, Strawbridge, Rona J, Kestler, Hans, Chheda, Himanshu, Eisele, Lewin, Gustafsson, Stefan, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Karssen, Lennart C, van Leeuwen, Elisabeth M, Willems, Sara M, Li, Man, Chen, Han, Fuchsberger, Christian, Kwan, Phoenix, Ma, Clement, Linderman, Michael, Lu, Yingchang, Thomsen, Soren K, Rundle, Jana K, Beer, Nicola L, van de Bunt, Martijn, Chalisey, Anil, Kang, Hyun Min, Voight, Benjamin F, Abecasis, Gonçalo R, Almgren, Peter, Baldassarre, Damiano, Balkau, Beverley, Benediktsson, Rafn, Blüher, Matthias, Boeing, Heiner, Bonnycastle, Lori L, Bottinger, Erwin P, Burtt, Noël P, Carey, Jason, Charpentier, Guillaume, Chines, Peter S, Cornelis, Marilyn C, Couper, David J, Crenshaw, Andrew T, van Dam, Rob M, Doney, Alex SF, Dorkhan, Mozhgan, Edkins, Sarah, Eriksson, Johan G, Esko, Tonu, Eury, Elodie, Fadista, João, Flannick, Jason, Fontanillas, Pierre, Fox, Caroline, Franks, Paul W, Gertow, Karl, Gieger, Christian, Gigante, Bruna, Gottesman, Omri, Grant, George B, Grarup, Niels, Groves, Christopher J, Hassinen, Maija, Have, Christian T, Herder, Christian, Holmen, Oddgeir L, Hreidarsson, Astradur B, Humphries, Steve E, Hunter, David J, Jackson, Anne U, Jonsson, Anna, Jørgensen, Marit E, Jørgensen, Torben, Kao, Wen-Hong L, Kerrison, Nicola D, Kinnunen, Leena, Klopp, Norman, Kong, Augustine, Kovacs, Peter, Kraft, Peter, Kravic, Jasmina, and Langford, Cordelia
Subjects: Biological Sciences, Genetics, Liver Disease, Diabetes, Human Genome, Digestive Diseases, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Binding Sites, Case-Control Studies, Chromatin Immunoprecipitation, Chromosome Mapping, Diabetes Mellitus, Type 2, Gene Expression Regulation, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Hepatocyte Nuclear Factor 3-beta, Humans, Islets of Langerhans, Liver, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, Receptor, Melatonin, MT2, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: We performed fine mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in or near KCNQ1. 'Credible sets' of the variants most likely to drive each distinct signal mapped predominantly to noncoding sequence, implying that association with T2D is mediated through gene regulation. Credible set variants were enriched for overlap with FOXA2 chromatin immunoprecipitation binding sites in human islet and liver cells, including at MTNR1B, where fine mapping implicated rs10830963 as driving T2D association. We confirmed that the T2D risk allele for this SNP increases FOXA2-bound enhancer activity in islet- and liver-derived cells. We observed allele-specific differences in NEUROD1 binding in islet-derived cells, consistent with evidence that the T2D risk allele increases islet MTNR1B expression. Our study demonstrates how integration of genetic and genomic information can define molecular mechanisms through which variants underlying association signals exert their effects on disease.
Published: 2015

26. Trans-ethnic gut microbial signatures of prediabetic subjects from India and Denmark

Author: Pinna, Nishal Kumar, Anjana, Ranjit Mohan, Saxena, Shruti, Dutta, Anirban, Gnanaprakash, Visvanathan, Rameshkumar, Gnanavadivel, Aswath, Sukumaran, Raghavan, Srividhya, Rani, Coimbatore Subramanian Shanthi, Radha, Venkatesan, Balasubramanyam, Muthuswamy, Pant, Archana, Nielsen, Trine, Jørgensen, Torben, Færch, Kristine, Kashani, Alireza, Silva, Maria Camila Alvarez, Vestergaard, Henrik, Hansen, Tue Haldor, Hansen, Torben, Arumugam, Manimozhiyan, Nair, Gopinath Balakrish, Das, Bhabatosh, Pedersen, Oluf, Mohan, Viswanathan, and Mande, Sharmila Shekhar
Published: 2021
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27. Trans-ethnic gut microbiota signatures of type 2 diabetes in Denmark and India

Author: Alvarez-Silva, Camila, Kashani, Alireza, Hansen, Tue Haldor, Pinna, Nishal Kumar, Anjana, Ranjit Mohan, Dutta, Anirban, Saxena, Shruti, Støy, Julie, Kampmann, Ulla, Nielsen, Trine, Jørgensen, Torben, Gnanaprakash, Visvanathan, Gnanavadivel, Rameshkumar, Sukumaran, Aswath, Rani, Coimbatore Subramanian Shanthi, Færch, Kristine, Radha, Venkatesan, Balasubramanyam, Muthuswamy, Nair, Gopinath Balakrish, Das, Bhabatosh, Vestergaard, Henrik, Hansen, Torben, Mande, Sharmila Shekhar, Mohan, Viswanathan, Arumugam, Manimozhiyan, and Pedersen, Oluf
Published: 2021
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28. Conjugated C-6 hydroxylated bile acids in serum relate to human metabolic health and gut Clostridia species

Author: Petersen, Anders Ø, Julienne, Hanna, Hyötyläinen, Tuulia, Sen, Partho, Fan, Yong, Pedersen, Helle Krogh, Jäntti, Sirkku, Hansen, Tue H., Nielsen, Trine, Jørgensen, Torben, Hansen, Torben, Myers, Pernille Neve, Nielsen, H. Bjørn, Ehrlich, S. Dusko, Orešič, Matej, and Pedersen, Oluf
Published: 2021
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29. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.

Author: Wessel, Jennifer, Chu, Audrey Y, Willems, Sara M, Wang, Shuai, Yaghootkar, Hanieh, Brody, Jennifer A, Dauriz, Marco, Hivert, Marie-France, Raghavan, Sridharan, Lipovich, Leonard, Hidalgo, Bertha, Fox, Keolu, Huffman, Jennifer E, An, Ping, Lu, Yingchang, Rasmussen-Torvik, Laura J, Grarup, Niels, Ehm, Margaret G, Li, Li, Baldridge, Abigail S, Stančáková, Alena, Abrol, Ravinder, Besse, Céline, Boland, Anne, Bork-Jensen, Jette, Fornage, Myriam, Freitag, Daniel F, Garcia, Melissa E, Guo, Xiuqing, Hara, Kazuo, Isaacs, Aaron, Jakobsdottir, Johanna, Lange, Leslie A, Layton, Jill C, Li, Man, Hua Zhao, Jing, Meidtner, Karina, Morrison, Alanna C, Nalls, Mike A, Peters, Marjolein J, Sabater-Lleal, Maria, Schurmann, Claudia, Silveira, Angela, Smith, Albert V, Southam, Lorraine, Stoiber, Marcus H, Strawbridge, Rona J, Taylor, Kent D, Varga, Tibor V, Allin, Kristine H, Amin, Najaf, Aponte, Jennifer L, Aung, Tin, Barbieri, Caterina, Bihlmeyer, Nathan A, Boehnke, Michael, Bombieri, Cristina, Bowden, Donald W, Burns, Sean M, Chen, Yuning, Chen, Yii-DerI, Cheng, Ching-Yu, Correa, Adolfo, Czajkowski, Jacek, Dehghan, Abbas, Ehret, Georg B, Eiriksdottir, Gudny, Escher, Stefan A, Farmaki, Aliki-Eleni, Frånberg, Mattias, Gambaro, Giovanni, Giulianini, Franco, Goddard, William A, Goel, Anuj, Gottesman, Omri, Grove, Megan L, Gustafsson, Stefan, Hai, Yang, Hallmans, Göran, Heo, Jiyoung, Hoffmann, Per, Ikram, Mohammad K, Jensen, Richard A, Jørgensen, Marit E, Jørgensen, Torben, Karaleftheri, Maria, Khor, Chiea C, Kirkpatrick, Andrea, Kraja, Aldi T, Kuusisto, Johanna, Lange, Ethan M, Lee, IT, Lee, Wen-Jane, Leong, Aaron, Liao, Jiemin, Liu, Chunyu, Liu, Yongmei, Lindgren, Cecilia M, Linneberg, Allan, and Malerba, Giovanni
Subjects: EPIC-InterAct Consortium, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Insulin, Glucose-6-Phosphatase, Blood Glucose, Oligonucleotide Array Sequence Analysis, Fasting, Polymorphism, Single Nucleotide, African Continental Ancestry Group, European Continental Ancestry Group, Genetic Variation, Genetic Loci, Genetic Association Studies, Mutation Rate, Exome, Glucagon-Like Peptide-1 Receptor, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, Diabetes, Genetics, Nutrition, Clinical Research, Prevention, Human Genome, 2.1 Biological and endogenous factors, Metabolic and Endocrine
Abstract: Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.
Published: 2015

30. Identification and functional characterization of G6PC2 coding variants influencing glycemic traits define an effector transcript at the G6PC2-ABCB11 locus.

Author: Mahajan, Anubha, Sim, Xueling, Ng, Hui Jin, Manning, Alisa, Rivas, Manuel A, Highland, Heather M, Locke, Adam E, Grarup, Niels, Im, Hae Kyung, Cingolani, Pablo, Flannick, Jason, Fontanillas, Pierre, Fuchsberger, Christian, Gaulton, Kyle J, Teslovich, Tanya M, Rayner, N William, Robertson, Neil R, Beer, Nicola L, Rundle, Jana K, Bork-Jensen, Jette, Ladenvall, Claes, Blancher, Christine, Buck, David, Buck, Gemma, Burtt, Noël P, Gabriel, Stacey, Gjesing, Anette P, Groves, Christopher J, Hollensted, Mette, Huyghe, Jeroen R, Jackson, Anne U, Jun, Goo, Justesen, Johanne Marie, Mangino, Massimo, Murphy, Jacquelyn, Neville, Matt, Onofrio, Robert, Small, Kerrin S, Stringham, Heather M, Syvänen, Ann-Christine, Trakalo, Joseph, Abecasis, Goncalo, Bell, Graeme I, Blangero, John, Cox, Nancy J, Duggirala, Ravindranath, Hanis, Craig L, Seielstad, Mark, Wilson, James G, Christensen, Cramer, Brandslund, Ivan, Rauramaa, Rainer, Surdulescu, Gabriela L, Doney, Alex SF, Lannfelt, Lars, Linneberg, Allan, Isomaa, Bo, Tuomi, Tiinamaija, Jørgensen, Marit E, Jørgensen, Torben, Kuusisto, Johanna, Uusitupa, Matti, Salomaa, Veikko, Spector, Timothy D, Morris, Andrew D, Palmer, Colin NA, Collins, Francis S, Mohlke, Karen L, Bergman, Richard N, Ingelsson, Erik, Lind, Lars, Tuomilehto, Jaakko, Hansen, Torben, Watanabe, Richard M, Prokopenko, Inga, Dupuis, Josee, Karpe, Fredrik, Groop, Leif, Laakso, Markku, Pedersen, Oluf, Florez, Jose C, Morris, Andrew P, Altshuler, David, Meigs, James B, Boehnke, Michael, McCarthy, Mark I, Lindgren, Cecilia M, Gloyn, Anna L, and T2D-GENES consortium and GoT2D consortium
Subjects: T2D-GENES consortium and GoT2D consortium, Humans, Diabetes Mellitus, Type 2, Insulin, Glucose-6-Phosphatase, Blood Glucose, Receptors, Glucagon, Glycemic Index, Gene Frequency, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Exome, Glucagon-Like Peptide-1 Receptor, Diabetes Mellitus, Type 2, Receptors, Glucagon, Polymorphism, Single Nucleotide, Genetics, Developmental Biology
Abstract: Genome wide association studies (GWAS) for fasting glucose (FG) and insulin (FI) have identified common variant signals which explain 4.8% and 1.2% of trait variance, respectively. It is hypothesized that low-frequency and rare variants could contribute substantially to unexplained genetic variance. To test this, we analyzed exome-array data from up to 33,231 non-diabetic individuals of European ancestry. We found exome-wide significant (P
Published: 2015

31. Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants 2–4

Author: Dashti, Hassan S, Follis, Jack L, Smith, Caren E, Tanaka, Toshiko, Cade, Brian E, Gottlieb, Daniel J, Hruby, Adela, Jacques, Paul F, Lamon-Fava, Stefania, Richardson, Kris, Saxena, Richa, Scheer, Frank AJL, Kovanen, Leena, Bartz, Traci M, Perälä, Mia-Maria, Jonsson, Anna, Frazier-Wood, Alexis C, Kalafati, Ioanna-Panagiota, Mikkilä, Vera, Partonen, Timo, Lemaitre, Rozenn N, Lahti, Jari, Hernandez, Dena G, Toft, Ulla, Johnson, W Craig, Kanoni, Stavroula, Raitakari, Olli T, Perola, Markus, Psaty, Bruce M, Ferrucci, Luigi, Grarup, Niels, Highland, Heather M, Rallidis, Loukianos, Kähönen, Mika, Havulinna, Aki S, Siscovick, David S, Räikkönen, Katri, Jørgensen, Torben, Rotter, Jerome I, Deloukas, Panos, Viikari, Jorma SA, Mozaffarian, Dariush, Linneberg, Allan, Seppälä, Ilkka, Hansen, Torben, Salomaa, Veikko, Gharib, Sina A, Eriksson, Johan G, Bandinelli, Stefania, Pedersen, Oluf, Rich, Stephen S, Dedoussis, George, Lehtimäki, Terho, and Ordovás, José M
Subjects: Aging, Sleep Research, Obesity, Prevention, Nutrition, Genetics, Neurosciences, Behavioral and Social Science, Oral and gastrointestinal, Cardiovascular, Metabolic and endocrine, Cancer, Adult, Body Mass Index, CLOCK Proteins, Cohort Studies, Cross-Sectional Studies, Diet, Dietary Proteins, Energy Intake, Fatty Acids, Unsaturated, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Sleep, White People, Young Adult, CLOCK, circadian rhythm, dietary intake, gene-environment interaction, sleep duration, gene-environment, interaction, Engineering, Medical and Health Sciences, Nutrition & Dietetics
Abstract: BackgroundShort sleep duration has been associated with greater risks of obesity, hypertension, diabetes, and cardiovascular disease. Also, common genetic variants in the human Circadian Locomotor Output Cycles Kaput (CLOCK) show associations with ghrelin and total energy intake.ObjectivesWe examined associations between habitual sleep duration, body mass index (BMI), and macronutrient intake and assessed whether CLOCK variants modify these associations.DesignWe conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations of sleep duration and BMI and macronutrient intake as percentages of total energy as well as interactions with CLOCK variants from 9 cohort studies including up to 14,906 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.ResultsWe observed a significant association between sleep duration and lower BMI (β ± SE = 0.16 ± 0.04, P < 0.0001) in the overall sample; however, associations between sleep duration and relative macronutrient intake were evident in age- and sex-stratified analyses only. We observed a significant association between sleep duration and lower saturated fatty acid intake in younger (aged 20-64 y) adults (men: 0.11 ± 0.06%, P = 0.03; women: 0.10 ± 0.05%, P = 0.04) and with lower carbohydrate (-0.31 ± 0.12%, P < 0.01), higher total fat (0.18 ± 0.09%, P = 0.05), and higher PUFA (0.05 ± 0.02%, P = 0.02) intakes in older (aged 65-80 y) women. In addition, the following 2 nominally significant interactions were observed: between sleep duration and rs12649507 on PUFA intake and between sleep duration and rs6858749 on protein intake.ConclusionsOur results indicate that longer habitual sleep duration is associated with lower BMI and age- and sex-specific favorable dietary behaviors. Differences in the relative intake of specific macronutrients associated with short sleep duration could, at least in part, explain previously reported associations between short sleep duration and chronic metabolic abnormalities. In addition, the influence of obesity-associated CLOCK variants on the association between sleep duration and macronutrient intake suggests that longer habitual sleep duration could ameliorate the genetic predisposition to obesity via a favorable dietary profile.
Published: 2015

32. Sex-Specific Epidemiology of Heart Failure Risk and Mortality in Europe: Results From the BiomarCaRE Consortium

Author: Magnussen, Christina, Niiranen, Teemu J., Ojeda, Francisco M., Gianfagna, Francesco, Blankenberg, Stefan, Vartiainen, Erkki, Sans, Susana, Pasterkamp, Gerard, Hughes, Maria, Costanzo, Simona, Donati, Maria Benedetta, Jousilahti, Pekka, Linneberg, Allan, Palosaari, Tarja, de Gaetano, Giovanni, Bobak, Martin, den Ruijter, Hester M., Jørgensen, Torben, Söderberg, Stefan, Kuulasmaa, Kari, Zeller, Tanja, Iacoviello, Licia, Salomaa, Veikko, and Schnabel, Renate B.
Published: 2019
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33. Pleiotropic genes for metabolic syndrome and inflammation

Author: Kraja, Aldi T, Chasman, Daniel I, North, Kari E, Reiner, Alexander P, Yanek, Lisa R, Kilpeläinen, Tuomas O, Smith, Jennifer A, Dehghan, Abbas, Dupuis, Josée, Johnson, Andrew D, Feitosa, Mary F, Tekola-Ayele, Fasil, Chu, Audrey Y, Nolte, Ilja M, Dastani, Zari, Morris, Andrew, Pendergrass, Sarah A, Sun, Yan V, Ritchie, Marylyn D, Vaez, Ahmad, Lin, Honghuang, Ligthart, Symen, Marullo, Letizia, Rohde, Rebecca, Shao, Yaming, Ziegler, Mark A, Im, Hae Kyung, Group, Cross Consortia Pleiotropy, Heart and, the Cohorts for, Epidemiology, Aging Research in Genetic, Consortium, the Genetic Investigation of Anthropometric Traits, Consortium, the Global Lipids Genetics, the Meta-Analyses of Glucose, Consortium, Insulin-related traits, Consortium, the Global BPgen, Consortium, The ADIPOGen, Study, the Women's Genome Health, Study, the Howard University Family, Schnabel, Renate B, Jørgensen, Torben, Jørgensen, Marit E, Hansen, Torben, Pedersen, Oluf, Stolk, Ronald P, Snieder, Harold, Hofman, Albert, Uitterlinden, Andre G, Franco, Oscar H, Ikram, M Arfan, Richards, J Brent, Rotimi, Charles, Wilson, James G, Lange, Leslie, Ganesh, Santhi K, Nalls, Mike, Rasmussen-Torvik, Laura J, Pankow, James S, Coresh, Josef, Tang, Weihong, Kao, WH Linda, Boerwinkle, Eric, Morrison, Alanna C, Ridker, Paul M, Becker, Diane M, Rotter, Jerome I, Kardia, Sharon LR, Loos, Ruth JF, Larson, Martin G, Hsu, Yi-Hsiang, Province, Michael A, Tracy, Russell, Voight, Benjamin F, Vaidya, Dhananjay, O'Donnell, Christopher J, Benjamin, Emelia J, Alizadeh, Behrooz Z, Prokopenko, Inga, Meigs, James B, and Borecki, Ingrid B
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Obesity, Cardiovascular, Human Genome, Prevention, Diabetes, Nutrition, Clinical Research, 2.1 Biological and endogenous factors, Biomarkers, Computational Biology, Gene Regulatory Networks, Genetic Pleiotropy, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Inflammation, Meta-Analysis as Topic, Metabolic Syndrome, Phenotype, Quantitative Trait, Heritable, Metabolic syndrome, Inflammatory markers, Pleiotropic associations, Meta-analysis, Regulome, Cross Consortia Pleiotropy Group, Cohorts for Heart and, Aging Research in Genetic Epidemiology, Genetic Investigation of Anthropometric Traits Consortium, Global Lipids Genetics Consortium, Meta-Analyses of Glucose, Insulin-related traits Consortium, Global BPgen Consortium, ADIPOGen Consortium, Women's Genome Health Study, Howard University Family Study, Clinical Sciences, Genetics & Heredity, Clinical sciences
Abstract: Metabolic syndrome (MetS) has become a health and financial burden worldwide. The MetS definition captures clustering of risk factors that predict higher risk for diabetes mellitus and cardiovascular disease. Our study hypothesis is that additional to genes influencing individual MetS risk factors, genetic variants exist that influence MetS and inflammatory markers forming a predisposing MetS genetic network. To test this hypothesis a staged approach was undertaken. (a) We analyzed 17 metabolic and inflammatory traits in more than 85,500 participants from 14 large epidemiological studies within the Cross Consortia Pleiotropy Group. Individuals classified with MetS (NCEP definition), versus those without, showed on average significantly different levels for most inflammatory markers studied. (b) Paired average correlations between 8 metabolic traits and 9 inflammatory markers from the same studies as above, estimated with two methods, and factor analyses on large simulated data, helped in identifying 8 combinations of traits for follow-up in meta-analyses, out of 130,305 possible combinations between metabolic traits and inflammatory markers studied. (c) We performed correlated meta-analyses for 8 metabolic traits and 6 inflammatory markers by using existing GWAS published genetic summary results, with about 2.5 million SNPs from twelve predominantly largest GWAS consortia. These analyses yielded 130 unique SNPs/genes with pleiotropic associations (a SNP/gene associating at least one metabolic trait and one inflammatory marker). Of them twenty-five variants (seven loci newly reported) are proposed as MetS candidates. They map to genes MACF1, KIAA0754, GCKR, GRB14, COBLL1, LOC646736-IRS1, SLC39A8, NELFE, SKIV2L, STK19, TFAP2B, BAZ1B, BCL7B, TBL2, MLXIPL, LPL, TRIB1, ATXN2, HECTD4, PTPN11, ZNF664, PDXDC1, FTO, MC4R and TOMM40. Based on large data evidence, we conclude that inflammation is a feature of MetS and several gene variants show pleiotropic genetic associations across phenotypes and might explain a part of MetS correlated genetic architecture. These findings warrant further functional investigation.
Published: 2014

34. Whole-Exome Sequencing of 2,000 Danish Individuals and the Role of Rare Coding Variants in Type 2 Diabetes

Author: Lohmueller, Kirk E, Sparsø, Thomas, Li, Qibin, Andersson, Ehm, Korneliussen, Thorfinn, Albrechtsen, Anders, Banasik, Karina, Grarup, Niels, Hallgrimsdottir, Ingileif, Kiil, Kristoffer, Kilpeläinen, Tuomas O, Krarup, Nikolaj T, Pers, Tune H, Sanchez, Gaston, Hu, Youna, DeGiorgio, Michael, Jørgensen, Torben, Sandbæk, Annelli, Lauritzen, Torsten, Brunak, Søren, Kristiansen, Karsten, Li, Yingrui, Hansen, Torben, Wang, Jun, Nielsen, Rasmus, and Pedersen, Oluf
Subjects: Biological Sciences, Genetics, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Published: 2014

35. Identification of Novel Genetic Loci Associated with Thyroid Peroxidase Antibodies and Clinical Thyroid Disease

Author: Medici, Marco, Porcu, Eleonora, Pistis, Giorgio, Teumer, Alexander, Brown, Suzanne J, Jensen, Richard A, Rawal, Rajesh, Roef, Greet L, Plantinga, Theo S, Vermeulen, Sita H, Lahti, Jari, Simmonds, Matthew J, Husemoen, Lise Lotte N, Freathy, Rachel M, Shields, Beverley M, Pietzner, Diana, Nagy, Rebecca, Broer, Linda, Chaker, Layal, Korevaar, Tim IM, Plia, Maria Grazia, Sala, Cinzia, Völker, Uwe, Richards, J Brent, Sweep, Fred C, Gieger, Christian, Corre, Tanguy, Kajantie, Eero, Thuesen, Betina, Taes, Youri E, Visser, W Edward, Hattersley, Andrew T, Kratzsch, Jürgen, Hamilton, Alexander, Li, Wei, Homuth, Georg, Lobina, Monia, Mariotti, Stefano, Soranzo, Nicole, Cocca, Massimiliano, Nauck, Matthias, Spielhagen, Christin, Ross, Alec, Arnold, Alice, van de Bunt, Martijn, Liyanarachchi, Sandya, Heier, Margit, Grabe, Hans Jörgen, Masciullo, Corrado, Galesloot, Tessel E, Lim, Ee M, Reischl, Eva, Leedman, Peter J, Lai, Sandra, Delitala, Alessandro, Bremner, Alexandra P, Philips, David IW, Beilby, John P, Mulas, Antonella, Vocale, Matteo, Abecasis, Goncalo, Forsen, Tom, James, Alan, Widen, Elisabeth, Hui, Jennie, Prokisch, Holger, Rietzschel, Ernst E, Palotie, Aarno, Feddema, Peter, Fletcher, Stephen J, Schramm, Katharina, Rotter, Jerome I, Kluttig, Alexander, Radke, Dörte, Traglia, Michela, Surdulescu, Gabriela L, He, Huiling, Franklyn, Jayne A, Tiller, Daniel, Vaidya, Bijay, de Meyer, Tim, Jørgensen, Torben, Eriksson, Johan G, O'Leary, Peter C, Wichmann, Eric, Hermus, Ad R, Psaty, Bruce M, Ittermann, Till, Hofman, Albert, Bosi, Emanuele, Schlessinger, David, Wallaschofski, Henri, Pirastu, Nicola, Aulchenko, Yurii S, de la Chapelle, Albert, Netea-Maier, Romana T, Gough, Stephen CL, Schwabedissen, Henriette Meyer zu, Frayling, Timothy M, and Kaufman, Jean-Marc
Subjects: Biological Sciences, Genetics, Prevention, Clinical Research, Autoimmune Disease, 2.1 Biological and endogenous factors, Aetiology, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Metabolic and endocrine, Autoantibodies, Genetic Loci, Genome-Wide Association Study, Graves Disease, Hashimoto Disease, Humans, Iodide Peroxidase, Risk Factors, Thyroiditis, Autoimmune, Thyrotropin, Developmental Biology
Abstract: Autoimmune thyroid diseases (AITD) are common, affecting 2-5% of the general population. Individuals with positive thyroid peroxidase antibodies (TPOAbs) have an increased risk of autoimmune hypothyroidism (Hashimoto's thyroiditis), as well as autoimmune hyperthyroidism (Graves' disease). As the possible causative genes of TPOAbs and AITD remain largely unknown, we performed GWAS meta-analyses in 18,297 individuals for TPOAb-positivity (1769 TPOAb-positives and 16,528 TPOAb-negatives) and in 12,353 individuals for TPOAb serum levels, with replication in 8,990 individuals. Significant associations (P
Published: 2014

36. Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetes.

Author: Lohmueller, Kirk, Sparsø, Thomas, Li, Qibin, Andersson, Ehm, Korneliussen, Thorfinn, Albrechtsen, Anders, Banasik, Karina, Grarup, Niels, Hallgrimsdottir, Ingileif, Kiil, Kristoffer, Kilpeläinen, Tuomas, Krarup, Nikolaj, Pers, Tune, Sanchez, Gaston, Hu, Youna, Degiorgio, Michael, Jørgensen, Torben, Sandbæk, Annelli, Lauritzen, Torsten, Brunak, Søren, Kristiansen, Karsten, Li, Yingrui, Hansen, Torben, Wang, Jun, Pedersen, Oluf, and Nielsen, Rasmus
Subjects: Computational Biology, Denmark, Diabetes Mellitus, Type 2, Exome, Genetic Association Studies, Genetic Variation, Genotype, High-Throughput Nucleotide Sequencing, Humans, Models, Statistical, Open Reading Frames, Polymorphism, Single Nucleotide, White People
Abstract: It has been hypothesized that, in aggregate, rare variants in coding regions of genes explain a substantial fraction of the heritability of common diseases. We sequenced the exomes of 1,000 Danish cases with common forms of type 2 diabetes (including body mass index > 27.5 kg/m(2) and hypertension) and 1,000 healthy controls to an average depth of 56×. Our simulations suggest that our study had the statistical power to detect at least one causal gene (a gene containing causal mutations) if the heritability of these common diseases was explained by rare variants in the coding regions of a limited number of genes. We applied a series of gene-based tests to detect such susceptibility genes. However, no gene showed a significant association with disease risk after we corrected for the number of genes analyzed. Thus, we could reject a model for the genetic architecture of type 2 diabetes where rare nonsynonymous variants clustered in a modest number of genes (fewer than 20) are responsible for the majority of disease risk.
Published: 2013

37. Genetic architecture of vitamin B12 and folate levels uncovered applying deeply sequenced large datasets.

Author: Grarup, Niels, Sulem, Patrick, Sandholt, Camilla, Thorleifsson, Gudmar, Ahluwalia, Tarunveer, Steinthorsdottir, Valgerdur, Bjarnason, Helgi, Gudbjartsson, Daniel, Magnusson, Olafur, Sparsø, Thomas, Albrechtsen, Anders, Kong, Augustine, Masson, Gisli, Tian, Geng, Cao, Hongzhi, Nie, Chao, Kristiansen, Karsten, Husemoen, Lise, Thuesen, Betina, Li, Yingrui, Nielsen, Rasmus, Linneberg, Allan, Olafsson, Isleifur, Eyjolfsson, Gudmundur, Jørgensen, Torben, Wang, Jun, Hansen, Torben, Thorsteinsdottir, Unnur, Stefánsson, Kari, and Pedersen, Oluf
Subjects: Alzheimer Disease, Denmark, Exome, Folic Acid, Folic Acid Deficiency, Genome, Human, Genome-Wide Association Study, Humans, Iceland, Methylenetetrahydrofolate Reductase (NADPH2), Quantitative Trait Loci, Vitamin B 12
Abstract: Genome-wide association studies have mainly relied on common HapMap sequence variations. Recently, sequencing approaches have allowed analysis of low frequency and rare variants in conjunction with common variants, thereby improving the search for functional variants and thus the understanding of the underlying biology of human traits and diseases. Here, we used a large Icelandic whole genome sequence dataset combined with Danish exome sequence data to gain insight into the genetic architecture of serum levels of vitamin B(12) (B12) and folate. Up to 22.9 million sequence variants were analyzed in combined samples of 45,576 and 37,341 individuals with serum B(12) and folate measurements, respectively. We found six novel loci associating with serum B(12) (CD320, TCN2, ABCD4, MMAA, MMACHC) or folate levels (FOLR3) and confirmed seven loci for these traits (TCN1, FUT6, FUT2, CUBN, CLYBL, MUT, MTHFR). Conditional analyses established that four loci contain additional independent signals. Interestingly, 13 of the 18 identified variants were coding and 11 of the 13 target genes have known functions related to B(12) and folate pathways. Contrary to epidemiological studies we did not find consistent association of the variants with cardiovascular diseases, cancers or Alzheimers disease although some variants demonstrated pleiotropic effects. Although to some degree impeded by low statistical power for some of these conditions, these data suggest that sequence variants that contribute to the population diversity in serum B(12) or folate levels do not modify the risk of developing these conditions. Yet, the study demonstrates the value of combining whole genome and exome sequencing approaches to ascertain the genetic and molecular architectures underlying quantitative trait associations.
Published: 2013

38. Higher mortality in women living in high-participation areas of a population-based health check and lifestyle intervention study

Author: Bender, Anne Mette, Jørgensen, Torben, and Pisinger, Charlotta
Published: 2019
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39. No Interactions Between Previously Associated 2-Hour Glucose Gene Variants and Physical Activity or BMI on 2-Hour Glucose Levels

Author: Scott, Robert A, Chu, Audrey Y, Grarup, Niels, Manning, Alisa K, Hivert, Marie-France, Shungin, Dmitry, Tönjes, Anke, Yesupriya, Ajay, Barnes, Daniel, Bouatia-Naji, Nabila, Glazer, Nicole L, Jackson, Anne U, Kutalik, Zoltán, Lagou, Vasiliki, Marek, Diana, Rasmussen-Torvik, Laura J, Stringham, Heather M, Tanaka, Toshiko, Aadahl, Mette, Arking, Dan E, Bergmann, Sven, Boerwinkle, Eric, Bonnycastle, Lori L, Bornstein, Stefan R, Brunner, Eric, Bumpstead, Suzannah J, Brage, Soren, Carlson, Olga D, Chen, Han, Chen, Yii-Der Ida, Chines, Peter S, Collins, Francis S, Couper, David J, Dennison, Elaine M, Dowling, Nicole F, Egan, Josephine S, Ekelund, Ulf, Erdos, Michael R, Forouhi, Nita G, Fox, Caroline S, Goodarzi, Mark O, Grässler, Jürgen, Gustafsson, Stefan, Hallmans, Göran, Hansen, Torben, Hingorani, Aroon, Holloway, John W, Hu, Frank B, Isomaa, Bo, Jameson, Karen A, Johansson, Ingegerd, Jonsson, Anna, Jørgensen, Torben, Kivimaki, Mika, Kovacs, Peter, Kumari, Meena, Kuusisto, Johanna, Laakso, Markku, Lecoeur, Cécile, Lévy-Marchal, Claire, Li, Guo, Loos, Ruth JF, Lyssenko, Valeri, Marmot, Michael, Marques-Vidal, Pedro, Morken, Mario A, Müller, Gabriele, North, Kari E, Pankow, James S, Payne, Felicity, Prokopenko, Inga, Psaty, Bruce M, Renström, Frida, Rice, Ken, Rotter, Jerome I, Rybin, Denis, Sandholt, Camilla H, Sayer, Avan A, Shrader, Peter, Schwarz, Peter EH, Siscovick, David S, Stančáková, Alena, Stumvoll, Michael, Teslovich, Tanya M, Waeber, Gérard, Williams, Gordon H, Witte, Daniel R, Wood, Andrew R, Xie, Weijia, Boehnke, Michael, Cooper, Cyrus, Ferrucci, Luigi, Froguel, Philippe, Groop, Leif, Kao, WH Linda, Vollenweider, Peter, Walker, Mark, Watanabe, Richard M, Pedersen, Oluf, and Meigs, James B
Subjects: Biomedical and Clinical Sciences, Clinical Research, Genetics, Diabetes, Prevention, Obesity, Nutrition, 2.1 Biological and endogenous factors, Aetiology, 2.3 Psychological, social and economic factors, Metabolic and endocrine, Blood Glucose, Body Mass Index, Epigenesis, Genetic, Gene Expression Regulation, Genotype, Humans, Life Style, Motor Activity, Polymorphism, Single Nucleotide, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract: Gene-lifestyle interactions have been suggested to contribute to the development of type 2 diabetes. Glucose levels 2 h after a standard 75-g glucose challenge are used to diagnose diabetes and are associated with both genetic and lifestyle factors. However, whether these factors interact to determine 2-h glucose levels is unknown. We meta-analyzed single nucleotide polymorphism (SNP) × BMI and SNP × physical activity (PA) interaction regression models for five SNPs previously associated with 2-h glucose levels from up to 22 studies comprising 54,884 individuals without diabetes. PA levels were dichotomized, with individuals below the first quintile classified as inactive (20%) and the remainder as active (80%). BMI was considered a continuous trait. Inactive individuals had higher 2-h glucose levels than active individuals (β = 0.22 mmol/L [95% CI 0.13-0.31], P = 1.63 × 10(-6)). All SNPs were associated with 2-h glucose (β = 0.06-0.12 mmol/allele, P ≤ 1.53 × 10(-7)), but no significant interactions were found with PA (P > 0.18) or BMI (P ≥ 0.04). In this large study of gene-lifestyle interaction, we observed no interactions between genetic and lifestyle factors, both of which were associated with 2-h glucose. It is perhaps unlikely that top loci from genome-wide association studies will exhibit strong subgroup-specific effects, and may not, therefore, make the best candidates for the study of interactions.
Published: 2012

40. A genome-wide association search for type 2 diabetes genes in African Americans.

Author: Palmer, Nicholette D, McDonough, Caitrin W, Hicks, Pamela J, Roh, Bong H, Wing, Maria R, An, S Sandy, Hester, Jessica M, Cooke, Jessica N, Bostrom, Meredith A, Rudock, Megan E, Talbert, Matthew E, Lewis, Joshua P, DIAGRAM Consortium, MAGIC Investigators, Ferrara, Assiamira, Lu, Lingyi, Ziegler, Julie T, Sale, Michele M, Divers, Jasmin, Shriner, Daniel, Adeyemo, Adebowale, Rotimi, Charles N, Ng, Maggie CY, Langefeld, Carl D, Freedman, Barry I, Bowden, Donald W, Voight, Benjamin F, Scott, Laura J, Steinthorsdottir, Valgerdur, Morris, Andrew P, Dina, Christian, Welch, Ryan P, Zeggini, Eleftheria, Huth, Cornelia, Aulchenko, Yurii S, Thorleifsson, Gudmar, McCulloch, Laura J, Ferreira, Teresa, Grallert, Harald, Amin, Najaf, Wu, Guanming, Willer, Cristen J, Raychaudhuri, Soumya, McCarroll, Steve A, Langenberg, Claudia, Hofmann, Oliver M, Dupuis, Josée, Qi, Lu, Segrè, Ayellet V, van Hoek, Mandy, Navarro, Pau, Ardlie, Kristin, Balkau, Beverley, Benediktsson, Rafn, Bennett, Amanda J, Blagieva, Roza, Boerwinkle, Eric, Bonnycastle, Lori L, Boström, Kristina Bengtsson, Bravenboer, Bert, Bumpstead, Suzannah, Burtt, Noël P, Charpentier, Guillaume, Chines, Peter S, Cornelis, Marilyn, Couper, David J, Crawford, Gabe, Doney, Alex SF, Elliott, Katherine S, Elliott, Amanda L, Erdos, Michael R, Fox, Caroline S, Franklin, Christopher S, Ganser, Martha, Gieger, Christian, Grarup, Niels, Green, Todd, Griffin, Simon, Groves, Christopher J, Guiducci, Candace, Hadjadj, Samy, Hassanali, Neelam, Herder, Christian, Isomaa, Bo, Jackson, Anne U, Johnson, Paul RV, Jørgensen, Torben, Kao, Wen HL, Klopp, Norman, Kong, Augustine, Kraft, Peter, Kuusisto, Johanna, Lauritzen, Torsten, Li, Man, Lieverse, Aloysius, Lindgren, Cecilia M, Lyssenko, Valeriya, Marre, Michel, Meitinger, Thomas, and Midthjell, Kristian
Subjects: DIAGRAM Consortium, MAGIC Investigators, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, African Americans, Female, Male, Meta-Analysis as Topic, Validation Studies as Topic, Genome-Wide Association Study, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, General Science & Technology
Abstract: African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P
Published: 2012

41. Natural selection affects multiple aspects of genetic variation at putatively neutral sites across the human genome.

Author: Lohmueller, Kirk E, Albrechtsen, Anders, Li, Yingrui, Kim, Su Yeon, Korneliussen, Thorfinn, Vinckenbosch, Nicolas, Tian, Geng, Huerta-Sanchez, Emilia, Feder, Alison F, Grarup, Niels, Jørgensen, Torben, Jiang, Tao, Witte, Daniel R, Sandbæk, Annelli, Hellmann, Ines, Lauritzen, Torsten, Hansen, Torben, Pedersen, Oluf, Wang, Jun, and Nielsen, Rasmus
Subjects: Animals, Humans, Pan troglodytes, Evolution, Molecular, Recombination, Genetic, Gene Frequency, Genetic Drift, Mutation, Genome, Human, Models, Genetic, Population, Genetic Variation, Selection, Genetic, Human Genome, Biotechnology, Genetics, Generic health relevance, Developmental Biology
Abstract: A major question in evolutionary biology is how natural selection has shaped patterns of genetic variation across the human genome. Previous work has documented a reduction in genetic diversity in regions of the genome with low recombination rates. However, it is unclear whether other summaries of genetic variation, like allele frequencies, are also correlated with recombination rate and whether these correlations can be explained solely by negative selection against deleterious mutations or whether positive selection acting on favorable alleles is also required. Here we attempt to address these questions by analyzing three different genome-wide resequencing datasets from European individuals. We document several significant correlations between different genomic features. In particular, we find that average minor allele frequency and diversity are reduced in regions of low recombination and that human diversity, human-chimp divergence, and average minor allele frequency are reduced near genes. Population genetic simulations show that either positive natural selection acting on favorable mutations or negative natural selection acting against deleterious mutations can explain these correlations. However, models with strong positive selection on nonsynonymous mutations and little negative selection predict a stronger negative correlation between neutral diversity and nonsynonymous divergence than observed in the actual data, supporting the importance of negative, rather than positive, selection throughout the genome. Further, we show that the widespread presence of weakly deleterious alleles, rather than a small number of strongly positively selected mutations, is responsible for the correlation between neutral genetic diversity and recombination rate. This work suggests that natural selection has affected multiple aspects of linked neutral variation throughout the human genome and that positive selection is not required to explain these observations.
Published: 2011

42. The Effect of Conducting a Lottery on Questionnaire Response Rates: A Randomised Controlled Trial

Author: Aadahl, Mette and Jørgensen, Torben
Published: 2003

43. FGF21 Is a Sugar-Induced Hormone Associated with Sweet Intake and Preference in Humans

Author: Søberg, Susanna, Sandholt, Camilla H., Jespersen, Naja Z., Toft, Ulla, Madsen, Anja L., von Holstein-Rathlou, Stephanie, Grevengoed, Trisha J., Christensen, Karl B., Bredie, Wender L.P., Potthoff, Matthew J., Solomon, Thomas P.J., Scheele, Camilla, Linneberg, Allan, Jørgensen, Torben, Pedersen, Oluf, Hansen, Torben, Gillum, Matthew P., and Grarup, Niels
Published: 2017
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44. Conditioned Pain Modulation and Pressure Pain Sensitivity in the Adult Danish General Population: The DanFunD Study

Author: Skovbjerg, Sine, Jørgensen, Torben, Arendt-Nielsen, Lars, Ebstrup, Jeanette F., Carstensen, Tina, and Graven-Nielsen, Thomas
Published: 2017
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45. Irritable bowel, chronic widespread pain, chronic fatigue and related syndromes are prevalent and highly overlapping in the general population: DanFunD

Author: Petersen, Marie Weinreich, Schröder, Andreas, Jørgensen, Torben, Ørnbøl, Eva, Meinertz Dantoft, Thomas, Eliasen, Marie, Benros, Michael Eriksen, and Fink, Per
Published: 2020
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46. Smoking and Alcohol Intake as Risk Factors for Bleeding and Perforated Peptic Ulcers: A Population-Based Cohort Study

Author: Andersen, Inger Bak, Jørgensen, Torben, Bonnevie, Olaf, and Grønbæk, Morten
Published: 2000

47. Repeated Measurements of Organochlorine Exposure and Breast Cancer Risk (Denmark)

Author: Høyer, Annette Pernille, Jørgensen, Torben, Grandjean, Philippe, and Hartvig, Helle Bøggild
Published: 2000

48. Cardiac Troponin I and Incident Stroke in European Cohorts: Insights From the BiomarCaRE Project

Author: Camen, Stephan, Palosaari, Tarja, Reinikainen, Jaakko, Sprünker, Ngoc Anh, Niiranen, Teemu, Gianfagna, Francesco, Vishram-Nielsen, Julie K.K., Costanzo, Simona, Söderberg, Stefan, Palmieri, Luigi, Ferrario, Marco, Peters, Annette, Vartiainen, Erkki, Donati, Maria Benedetta, Donfrancesco, Chiara, Borchini, Rossana, Börschel, Christin Susanna, Giampaoli, Simona, Di Castelnuovo, Augusto, Magnussen, Christina, Kee, Frank, Koenig, Wolfgang, Blankenberg, Stefan, de Gaetano, Giovanni, Tunstall-Pedoe, Hugh, Rospleszcz, Susanne, Jørgensen, Torben, Zeller, Tanja, Kuulasmaa, Kari, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.
Published: 2020
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49. Cascading Trophic Interactions from Fish to Bacteria and Nutrients after Reduced Sewage Loading: An 18-Year Study of a Shallow Hypertrophic Lake

Author: Jeppesen, Erik, Søndergaard, Martin, Jensen, Jens Peder, Mortensen, Erik, Hansen, Anne-Mette, and Jørgensen, Torben
Published: 1998

50. Associations of genetic determinants of serum vitamin B12 and folate concentrations with hay fever and asthma: a Mendelian randomization meta-analysis

Author: Skaaby, Tea, Taylor, Amy E., Jacobsen, Rikke K., Møllehave, Line T., Friedrich, Nele, Thuesen, Betina H., Shabanzadeh, Daniel Mønsted, Paternoster, Lavinia, Völker, Uwe, Nauck, Matthias, Völzke, Henry, Munafò, Marcus, Hansen, Torben, Pedersen, Oluf, Jørgensen, Torben, Grarup, Niels, and Linneberg, Allan
Published: 2018
Full Text: View/download PDF

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