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1,405 results on '"Jonsson, Anna"'

1. A longitudinal single-cell atlas of anti-tumour necrosis factor treatment in inflammatory bowel disease

Author

Thomas, Tom, Friedrich, Matthias, Rich-Griffin, Charlotte, Pohin, Mathilde, Agarwal, Devika, Pakpoor, Julia, Lee, Carl, Tandon, Ruchi, Rendek, Aniko, Aschenbrenner, Dominik, Jainarayanan, Ashwin, Voda, Alexandru, Siu, Jacqueline H. Y., Sanches-Peres, Raphael, Nee, Eloise, Sathananthan, Dharshan, Kotliar, Dylan, Todd, Peter, Kiourlappou, Maria, Gartner, Lisa, Ilott, Nicholas, Issa, Fadi, Hester, Joanna, Turner, Jason, Nayar, Saba, Mackerodt, Jonas, Zhang, Fan, Jonsson, Anna, Brenner, Michael, Raychaudhuri, Soumya, Kulicke, Ruth, Ramsdell, Danielle, Stransky, Nicolas, Pagliarini, Ray, Bielecki, Piotr, Spies, Noah, Marsden, Brian, Taylor, Stephen, Wagner, Allon, Klenerman, Paul, Walsh, Alissa, Coles, Mark, Jostins-Dean, Luke, Powrie, Fiona M., Filer, Andrew, Travis, Simon, Uhlig, Holm H., Dendrou, Calliope A., and Buckley, Christopher D.

Published
2024
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2. Generating Semantic Graph Corpora with Graph Expansion Grammar

Author

Andersson, Eric, Björklund, Johanna, Drewes, Frank, and Jonsson, Anna

Subjects
Computer Science - Formal Languages and Automata Theory, Computer Science - Computation and Language, F.4.3, I.2.7
Abstract

We introduce Lovelace, a tool for creating corpora of semantic graphs. The system uses graph expansion grammar as a representational language, thus allowing users to craft a grammar that describes a corpus with desired properties. When given such grammar as input, the system generates a set of output graphs that are well-formed according to the grammar, i.e., a graph bank. The generation process can be controlled via a number of configurable parameters that allow the user to, for example, specify a range of desired output graph sizes. Central use cases are the creation of synthetic data to augment existing corpora, and as a pedagogical tool for teaching formal language theory., Comment: In Proceedings NCMA 2023, arXiv:2309.07333

Published
2023
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3. Deconstruction of rheumatoid arthritis synovium defines inflammatory subtypes.

Author

Zhang, Fan, Jonsson, Anna, Nathan, Aparna, Millard, Nghia, Curtis, Michelle, Xiao, Qian, Gutierrez-Arcelus, Maria, Apruzzese, William, Watts, Gerald, Weisenfeld, Dana, Nayar, Saba, Rangel-Moreno, Javier, Meednu, Nida, Marks, Kathryne, Mantel, Ian, Kang, Joyce, Rumker, Laurie, Mears, Joseph, Slowikowski, Kamil, Weinand, Kathryn, Orange, Dana, Geraldino-Pardilla, Laura, Deane, Kevin, Tabechian, Darren, Ceponis, Arnoldas, Firestein, Gary, Maybury, Mark, Sahbudin, Ilfita, Ben-Artzi, Ami, Mandelin, Arthur, Nerviani, Alessandra, Lewis, Myles, Rivellese, Felice, Pitzalis, Costantino, Hughes, Laura, Horowitz, Diane, DiCarlo, Edward, Gravallese, Ellen, Boyce, Brendan, Moreland, Larry, Goodman, Susan, Perlman, Harris, Holers, V, Liao, Katherine, Filer, Andrew, Bykerk, Vivian, Wei, Kevin, Rao, Deepak, Donlin, Laura, Anolik, Jennifer, Brenner, Michael, and Raychaudhuri, Soumya

Subjects
Humans, Arthritis, Rheumatoid, Cytokines, Inflammation, Synovial Membrane, T-Lymphocytes, B-Lymphocytes, Genetic Predisposition to Disease, Phenotype, Single-Cell Gene Expression Analysis
Abstract

Rheumatoid arthritis is a prototypical autoimmune disease that causes joint inflammation and destruction1. There is currently no cure for rheumatoid arthritis, and the effectiveness of treatments varies across patients, suggesting an undefined pathogenic diversity1,2. Here, to deconstruct the cell states and pathways that characterize this pathogenic heterogeneity, we profiled the full spectrum of cells in inflamed synovium from patients with rheumatoid arthritis. We used multi-modal single-cell RNA-sequencing and surface protein data coupled with histology of synovial tissue from 79 donors to build single-cell atlas of rheumatoid arthritis synovial tissue that includes more than 314,000 cells. We stratified tissues into six groups, referred to as cell-type abundance phenotypes (CTAPs), each characterized by selectively enriched cell states. These CTAPs demonstrate the diversity of synovial inflammation in rheumatoid arthritis, ranging from samples enriched for T and B cells to those largely lacking lymphocytes. Disease-relevant cell states, cytokines, risk genes, histology and serology metrics are associated with particular CTAPs. CTAPs are dynamic and can predict treatment response, highlighting the clinical utility of classifying rheumatoid arthritis synovial phenotypes. This comprehensive atlas and molecular, tissue-based stratification of rheumatoid arthritis synovial tissue reveal new insights into rheumatoid arthritis pathology and heterogeneity that could inform novel targeted treatments.

Published
2023

6. Clonal associations between lymphocyte subsets and functional states in rheumatoid arthritis synovium

Author

Dunlap, Garrett, Wagner, Aaron, Meednu, Nida, Wang, Ruoqiao, Zhang, Fan, Ekabe, Jabea Cyril, Jonsson, Anna Helena, Wei, Kevin, Sakaue, Saori, Nathan, Aparna, Bykerk, Vivian P., Donlin, Laura T., Goodman, Susan M., Firestein, Gary S., Boyle, David L., Holers, V. Michael, Moreland, Larry W., Tabechian, Darren, Pitzalis, Costantino, Filer, Andrew, Raychaudhuri, Soumya, Brenner, Michael B., Thakar, Juilee, McDavid, Andrew, Rao, Deepak A., and Anolik, Jennifer H.

Published
2024
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9. ACROCPoLis: A Descriptive Framework for Making Sense of Fairness

Author

Tubella, Andrea Aler, Mollo, Dimitri Coelho, Lindström, Adam Dahlgren, Devinney, Hannah, Dignum, Virginia, Ericson, Petter, Jonsson, Anna, Kampik, Timotheus, Lenaerts, Tom, Mendez, Julian Alfredo, and Nieves, Juan Carlos

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence
Abstract

Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available. However, many of the fairness solutions proposed revolve around technical considerations and not the needs of and consequences for the most impacted communities. We therefore want to take the focus away from definitions and allow for the inclusion of societal and relational aspects to represent how the effects of AI systems impact and are experienced by individuals and social groups. In this paper, we do this by means of proposing the ACROCPoLis framework to represent allocation processes with a modeling emphasis on fairness aspects. The framework provides a shared vocabulary in which the factors relevant to fairness assessments for different situations and procedures are made explicit, as well as their interrelationships. This enables us to compare analogous situations, to highlight the differences in dissimilar situations, and to capture differing interpretations of the same situation by different stakeholders., Comment: To appear in the proceedings of ACM FAccT 2023

Published
2023

10. Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake

Author

Williamson, Alice, Norris, Dougall M, Yin, Xianyong, Broadaway, K Alaine, Moxley, Anne H, Vadlamudi, Swarooparani, Wilson, Emma P, Jackson, Anne U, Ahuja, Vasudha, Andersen, Mette K, Arzumanyan, Zorayr, Bonnycastle, Lori L, Bornstein, Stefan R, Bretschneider, Maxi P, Buchanan, Thomas A, Chang, Yi-Cheng, Chuang, Lee-Ming, Chung, Ren-Hua, Clausen, Tine D, Damm, Peter, Delgado, Graciela E, de Mello, Vanessa D, Dupuis, Josée, Dwivedi, Om P, Erdos, Michael R, Silva, Lilian Fernandes, Frayling, Timothy M, Gieger, Christian, Goodarzi, Mark O, Guo, Xiuqing, Gustafsson, Stefan, Hakaste, Liisa, Hammar, Ulf, Hatem, Gad, Herrmann, Sandra, Højlund, Kurt, Horn, Katrin, Hsueh, Willa A, Hung, Yi-Jen, Hwu, Chii-Min, Jonsson, Anna, Kårhus, Line L, Kleber, Marcus E, Kovacs, Peter, Lakka, Timo A, Lauzon, Marie, Lee, I-Te, Lindgren, Cecilia M, Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Luan, Jian’an, Aly, Dina Mansour, Mathiesen, Elisabeth, Moissl, Angela P, Morris, Andrew P, Narisu, Narisu, Perakakis, Nikolaos, Peters, Annette, Prasad, Rashmi B, Rodionov, Roman N, Roll, Kathryn, Rundsten, Carsten F, Sarnowski, Chloé, Savonen, Kai, Scholz, Markus, Sharma, Sapna, Stinson, Sara E, Suleman, Sufyan, Tan, Jingyi, Taylor, Kent D, Uusitupa, Matti, Vistisen, Dorte, Witte, Daniel R, Walther, Romy, Wu, Peitao, Xiang, Anny H, Zethelius, Björn, Ahlqvist, Emma, Bergman, Richard N, Chen, Yii-Der Ida, Collins, Francis S, Fall, Tove, Florez, Jose C, Fritsche, Andreas, Grallert, Harald, Groop, Leif, Hansen, Torben, Koistinen, Heikki A, Komulainen, Pirjo, Laakso, Markku, Lind, Lars, Loeffler, Markus, März, Winfried, Meigs, James B, Raffel, Leslie J, Rauramaa, Rainer, Rotter, Jerome I, Schwarz, Peter EH, and Stumvoll, Michael

Subjects
Biochemistry and Cell Biology, Genetics, Biological Sciences, Diabetes, Clinical Research, Human Genome, Prevention, Nutrition, 2.1 Biological and endogenous factors, Aetiology, 5.1 Pharmaceuticals, Development of treatments and therapeutic interventions, Metabolic and endocrine, Humans, Insulin, Genome-Wide Association Study, Insulin Resistance, Diabetes Mellitus, Type 2, Glucose, Blood Glucose, Meta-Analysis of Glucose and Insulin-related Traits Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Distinct tissue-specific mechanisms mediate insulin action in fasting and postprandial states. Previous genetic studies have largely focused on insulin resistance in the fasting state, where hepatic insulin action dominates. Here we studied genetic variants influencing insulin levels measured 2 h after a glucose challenge in >55,000 participants from three ancestry groups. We identified ten new loci (P

Published
2023

12. Mapping the dynamic genetic regulatory architecture of HLA genes at single-cell resolution

Author

Kang, Joyce B., Shen, Amber Z., Gurajala, Saisriram, Nathan, Aparna, Rumker, Laurie, Aguiar, Vitor R. C., Valencia, Cristian, Lagattuta, Kaitlyn A., Zhang, Fan, Jonsson, Anna Helena, Yazar, Seyhan, Alquicira-Hernandez, Jose, Khalili, Hamed, Ananthakrishnan, Ashwin N., Jagadeesh, Karthik, Dey, Kushal, Daly, Mark J., Xavier, Ramnik J., Donlin, Laura T., Anolik, Jennifer H., Powell, Joseph E., Rao, Deepak A., Brenner, Michael B., Gutierrez-Arcelus, Maria, Luo, Yang, Sakaue, Saori, and Raychaudhuri, Soumya

Published
2023
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14. Polynomial Graph Parsing with Non-Structural Reentrancies

Author

Björklund, Johanna, Drewes, Frank, and Jonsson, Anna

Subjects
Computer Science - Formal Languages and Automata Theory, Computer Science - Computation and Language, Computer Science - Discrete Mathematics, 68R10 (Primary) 05C85 (Secondary), F.4.3, I.2.7, I.2.4
Abstract

Graph-based semantic representations are valuable in natural language processing, where it is often simple and effective to represent linguistic concepts as nodes, and relations as edges between them. Several attempts has been made to find a generative device that is sufficiently powerful to represent languages of semantic graphs, while at the same allowing efficient parsing. We add to this line of work by introducing graph extension grammar, which consists of an algebra over graphs together with a regular tree grammar that generates expressions over the operations of the algebra. Due to the design of the operations, these grammars can generate graphs with non-structural reentrancies; a type of node-sharing that is excessively common in formalisms such as abstract meaning representation, but for which existing devices offer little support. We provide a parsing algorithm for graph extension grammars, which is proved to be correct and run in polynomial time., Comment: 23 pages with 7 figures

Published
2021

16. 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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24. Selection in Europeans on Fatty Acid Desaturases Associated with Dietary Changes

Author

Buckley, Matthew T, Racimo, Fernando, Allentoft, Morten E, Jensen, Majken K, Jonsson, Anna, Huang, Hongyan, Hormozdiari, Farhad, Sikora, Martin, Marnetto, Davide, Eskin, Eleazar, Jørgensen, Marit E, Grarup, Niels, Pedersen, Oluf, Hansen, Torben, Kraft, Peter, Willerslev, Eske, and Nielsen, Rasmus

Subjects
Biological Sciences, Genetics, Nutrition, Prevention, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Cardiovascular, Metabolic and endocrine, Alleles, DNA, Ancient, Diet, Dietary Fats, Evolution, Molecular, Fatty Acid Desaturases, Fatty Acids, Fatty Acids, Unsaturated, Gene Frequency, Gene-Environment Interaction, Humans, Linoleic Acid, Lipids, Multigene Family, Phenotype, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, White People, selection, evolution, human, genetics, FADS, Biochemistry and Cell Biology, Evolutionary Biology, Biochemistry and cell biology, Evolutionary biology
Abstract

FADS genes encode fatty acid desaturases that are important for the conversion of short chain polyunsaturated fatty acids (PUFAs) to long chain fatty acids. Prior studies indicate that the FADS genes have been subjected to strong positive selection in Africa, South Asia, Greenland, and Europe. By comparing FADS sequencing data from present-day and Bronze Age (5-3k years ago) Europeans, we identify possible targets of selection in the European population, which suggest that selection has targeted different alleles in the FADS genes in Europe than it has in South Asia or Greenland. The alleles showing the strongest changes in allele frequency since the Bronze Age show associations with expression changes and multiple lipid-related phenotypes. Furthermore, the selected alleles are associated with a decrease in linoleic acid and an increase in arachidonic and eicosapentaenoic acids among Europeans; this is an opposite effect of that observed for selected alleles in Inuit from Greenland. We show that multiple SNPs in the region affect expression levels and PUFA synthesis. Additionally, we find evidence for a gene-environment interaction influencing low-density lipoprotein (LDL) levels between alleles affecting PUFA synthesis and PUFA dietary intake: carriers of the derived allele display lower LDL cholesterol levels with a higher intake of PUFAs. We hypothesize that the selective patterns observed in Europeans were driven by a change in dietary composition of fatty acids following the transition to agriculture, resulting in a lower intake of arachidonic acid and eicosapentaenoic acid, but a higher intake of linoleic acid and α-linolenic acid.

Published
2017

25. Generative AI Beyond the Hype—New Technologies in the Face of Organizing and Organizations.

Author

Kronblad, Charlotta, Jonsson, Anna, and Pemer, Frida

Subjects
GENERATIVE artificial intelligence, TECHNOLOGICAL innovations, PROFESSIONAL corporations, DIGITAL transformation, OPPORTUNITY costs
Abstract

Generative artificial intelligence (GAI) challenges creative efforts and work that build on expertise. Since GAI has the ability to generate content that can be easily confused with human output, it puts professionals and their organizations at risk. We explore how professional service firms (PSFs) (in law, architecture, and auditing) react to this new technology and what it has entailed for them. We show that GAI has not been perceived as a threat, but these professionals have rather embraced the new technology. However, actual results of GAI initiatives remain to be seen. Also, concerns have been raised that GAI comes with an opportunity cost, as other potentially more suitable and profitable technologies are overlooked. Building on insights from our case study, we highlight several issues that need to be further explored. Ideas for a future research agenda, as well as practical advise for how to put GAI into use, are outlined. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Datavisualisering som planeringsverktyg : En utforskande studie av resvanor i förhållande till nuvarande kollektivtrafik i Umeå kommun

Author

Jonsson, Anna, Lyng, Miranda, Jonsson, Anna, and Lyng, Miranda

Abstract

Denna studie undersöker hur en visualisering av Umeå kommuns befintliga hållplatser ochplanerade resor i kollektivtrafiken, tillsammans med insamlad resedata, kan ge insikt i mönster,kopplingar och brister i den nuvarande kollektivtrafikmodellen. Med ett abduktivt angreppssätt, där teorier används för att bekräfta eller förkasta våra resultat samt testa dem mot teori i praktiken, inkluderar våra metoder i denna studie datainsamling, prototyping, datavisualisering, semistrukturerade kvalitativa intervjuer, data mining och data cleaning. Våra intervjuer genomfördes med en respondent från Umeå kommun för att få relevanta insikter om specifika behov, som i sin tur kunde användas i vårt prototyparbete. Prototypen är en kartbaserad visualisering med animerade sträckor som visar verkliga resmönster, ett klusterlager som visar aggregerade resmönster och cirkelformer som illustrerar buss- och tåghållplatsernas geografiska läge. Prototypen skapades i visualiseringsverktyget Kepler.gl. Våra resultat och återkopplingen från vår respondent visar att den slutliga prototypen inte innehöll tillräckligt många viktiga funktioner, som exempelvis tydliga resmönster mellan olika områden inom kommunen, och presenterades på ett sätt som kan ha påverkat respondentens intryck av slutprodukten negativt. Sammanfattningsvis kunde vi konstatera att tidsbrist, dåligt förankrad avgränsning för tid- och datum i dataurvalet, samt tillvägagångssätt vid presentation av prototypen var viktiga faktorer som påverkade slutresultatet., This study explores how a visualization of existing stops and planned trips within public transport along with collected travel data in Umeå municipality can give insight into patterns, connections and flaws in the current public transport model. Using an abductive approach, where theories are used to confirm or discard our findings as well as test them against theory in practice, our methods used in this study include data collection, prototyping, data visualization, semi-structured qualitative interviews, data mining and data cleaning. Our interviews were conducted with a respondent from Umeå municipality in order togain relevant insights into specific needs, which could in turn be used in our prototype work. The prototype is a map-based visualization, with animated paths showing actual travel patterns, a cluster layer showing aggregated travel patterns and circle shapes illustrating the position of bus and train stops. The prototype was made using the visualization tool Kepler.gl. Our findings and the feedback from our respondent show that the final prototype did not include enough key features, such as clear travel connections between different areas within the municipality, and was presented in a way that could have affected the respondent's impressionof the final product negatively. In conclusion, we found that a shortage of time, poorly anchored time and day scope in our data selection and the manner of presenting the prototype were all important factors that affected the end result.

Published
2024

27. Altered Glucagon and GLP-1 Responses to Oral Glucose in Children and Adolescents With Obesity and Insulin Resistance

Author

Stinson, Sara Elizabeth, Fernández de Retana Alzola, Ierai, Hovendal, Emilie Damgaard Brünner, Lund, Morten Asp Vonsild, Fonvig, Cilius Esmann, Holm, Louise Aas, Jonsson, Anna Elisabet, Frithioff-Bøjsøe, Christine, Christiansen, Michael, Pedersen, Oluf, Ängquist, Lars, Sørensen, Thorkild I. A., Holst, Jens Juul, Hartmann, Bolette, Holm, Jens-Christian, Hansen, Torben, Stinson, Sara Elizabeth, Fernández de Retana Alzola, Ierai, Hovendal, Emilie Damgaard Brünner, Lund, Morten Asp Vonsild, Fonvig, Cilius Esmann, Holm, Louise Aas, Jonsson, Anna Elisabet, Frithioff-Bøjsøe, Christine, Christiansen, Michael, Pedersen, Oluf, Ängquist, Lars, Sørensen, Thorkild I. A., Holst, Jens Juul, Hartmann, Bolette, Holm, Jens-Christian, and Hansen, Torben

Abstract

CONTEXT: Pediatric obesity is characterized by insulin resistance, yet it remains unclear whether insulin resistance contributes to abnormalities in glucagon and incretin secretion.OBJECTIVE: To examine whether fasting and stimulated glucagon, GLP-1, and GIP concentrations differ between children and adolescents with obesity and insulin resistance (OIR), obesity and normal insulin sensitivity (OIS), and controls with normal weight (NW).METHODS: 80 (34 boys) children and adolescents, aged 7-17 years with OIR (n=22), OIS (n=22), and NW (n=36) underwent an oral glucose tolerance test with measurements of serum insulin, plasma glucose, glucagon, total GLP-1, and total GIP. Homeostatic model assessment of insulin resistance (HOMA-IR), single point insulin sensitivity estimator (SPISE), Matsuda index, insulinogenic index (IGI), and oral disposition index (ODI) were calculated.RESULTS: Fasting concentrations of glucagon and GLP-1 were higher in the OIR-group, with no significant differences for GIP. The OIR-group had higher glucagon total area under the curve (tAUC0-120) and lower GLP-1 incremental AUC (iAUC0-120), with no significant differences for GIP iAUC0-120. Higher fasting glucagon was associated with higher HOMA-IR, lower Matsuda index, lower SPISE, higher IGI, and higher plasma alanine transaminase, whereas higher fasting GLP-1 was associated with higher HOMA-IR, lower Matsuda index, and lower ODI. Higher glucagon tAUC0-120 was associated lower SPISE and lower Matsuda index, whereas lower GLP-1 iAUC0-120 was associated with a higher HOMA-IR, lower Matsuda index, and lower ODI.CONCLUSIONS: The OIR-group had elevated fasting concentrations of glucagon and GLP-1, and higher glucagon, but lower GLP-1 responses during an OGTT compared to the OIS- and NW-groups. In contrast, the OIS-group had similar hormone responses to the NW-group.

Published
2024

28. A Strategy for Scaling Advanced Analytics: Key elements for scaling advanced analytics.

Author

Berndtsson, Mikael, Jonsson, Anna-Carin, Carlsson, Magnus, and Svahn, Thomas

Subjects
*BUSINESS analytics, *COMPETITIVE advantage in business, *DATA, *PILOT projects, *BUSINESS planning, *ARTIFICIAL intelligence in business
Abstract

The article discusses organizational strategies for scaling advanced analytics (AA) and gaining a competitive advantage over other firms. According to the article, AA is comprised of prescriptive analytics and predicative analytics. It states that the scaling of advanced analytics should focus on the use of AA in a business. Information is provided about data-driven pilot projects in AA, data strategies in companies, and artificial intelligence in business.

Published
2023
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30. Altered Glucagon and GLP-1 Responses to Oral Glucose in Children and Adolescents With Obesity and Insulin Resistance

Author

Stinson, Sara Elizabeth, primary, Fernández de Retana Alzola, Ierai, additional, Brünner Hovendal, Emilie Damgaard, additional, Lund, Morten Asp Vonsild, additional, Fonvig, Cilius Esmann, additional, Holm, Louise Aas, additional, Jonsson, Anna Elisabet, additional, Frithioff-Bøjsøe, Christine, additional, Christiansen, Michael, additional, Pedersen, Oluf, additional, Ängquist, Lars, additional, Sørensen, Thorkild I A, additional, Holst, Jens Juul, additional, Hartmann, Bolette, additional, Holm, Jens-Christian, additional, and Hansen, Torben, additional

Published
2023
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31. 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

33. 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

34. A Comparison of Two N-Best Extraction Methods for Weighted Tree Automata

Author

Björklund, Johanna, Drewes, Frank, Jonsson, Anna, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, and Câmpeanu, Cezar, editor

Published
2018
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35. Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration

Author

Jennison, Christopher, Ehrhardt, Beate, Baum, Patrick, Schoelsch, Corinna, Freijer, Jan, Grempler, Rolf, Graefe-Mody, Ulrike, Hennige, Anita, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinecich, Iryna, Pattou, Francois, Raverdi, Violeta, Caiazzo, Robert, Torres, Fanelly, Verkindt, Helene, Mari, Andrea, Tura, Andrea, Giorgino, Toni, Bizzotto, Roberto, Froguel, Philippe, Bonneford, Amelie, Canouil, Mickael, Dhennin, Veronique, Brorsson, Caroline, Brunak, Soren, De Masi, Federico, Gudmundsdóttir, Valborg, Pedersen, Helle, Banasik, Karina, Thomas, Cecilia, Sackett, Peter, Staerfeldt, Hans-Henrik, Lundgaard, Agnete, Nilsson, Birgitte, Nielsen, Agnes, Mazzoni, Gianluca, Karaderi, Tugce, Rasmussen, Simon, Johansen, Joachim, Allesøe, Rosa, Fritsche, Andreas, Thorand, Barbara, Adamski, Jurek, Grallert, Harald, Haid, Mark, Sharma, Sapna, Troll, Martina, Adam, Jonathan, Ferrer, Jorge, Eriksen, Heather, Frost, Gary, Haussler, Ragna, Hong, Mun-gwan, Schwenk, Jochen, Uhlen, Mathias, Nicolay, Claudia, Pavo, Imre, Steckel-Hamann, Birgit, Thomas, Melissa, Adragni, Kofi, Wu, Han, Hart, Leen't, Roderick, Slieker, van Leeuwen, Nienke, Dekkers, Koen, Frau, Francesca, Gassenhuber, Johann, Jablonka, Bernd, Musholt, Petra, Ruetten, Hartmut, Tillner, Joachim, Baltauss, Tania, Bernard Poenaru, Oana, de Preville, Nathalie, Rodriquez, Marianne, Arumugam, Manimozhiyan, Allin, Kristine, Engelbrechtsen, Line, Hansen, Torben, Hansen, Tue, Forman, Annemette, Jonsson, Anna, Pedersen, Oluf, Dutta, Avirup, Vogt, Josef, Vestergaard, Henrik, Laakso, Markku, Kokkola, Tarja, Kuulasmaa, Teemu, Franks, Paul, Giordano, Nick, Pomares-Millan, Hugo, Fitipaldi, Hugo, Mutie, Pascal, Klintenberg, Maria, Bergstrom, Margit, Groop, Leif, Ridderstrale, Martin, Atabaki Pasdar, Naeimeh, Deshmukh, Harshal, Heggie, Alison, Wake, Dianne, McEvoy, Donna, McVittie, Ian, Walker, Mark, Hattersley, Andrew, Hill, Anita, Jones, Angus, McDonald, Timothy, Perry, Mandy, Nice, Rachel, Hudson, Michelle, Thorne, Claire, Dermitzakis, Emmanouil, Viñuela, Ana, Cabrelli, Louise, Loftus, Heather, Dawed, Adem, Donnelly, Louise, Forgie, Ian, Pearson, Ewan, Palmer, Colin, Brown, Andrew, Koivula, Robert, Wesolowska-Andersen, Agata, Abdalla, Moustafa, McRobert, Nicky, Fernandez, Juan, Jiao, Yunlong, Robertson, Neil, Gough, Stephen, Kaye, Jane, Mourby, Miranda, Mahajan, Anubha, McCarthy, Mark, Shah, Nisha, Teare, Harriet, Holl, Reinhard, Koopman, Anitra, Rutters, Femke, Beulens, Joline, Groeneveld, Lenka, Bell, Jimmy, Thomas, Louise, Whitcher, Brandon, Wilman, Henry R., Parisinos, Constantinos A., Atabaki-Pasdar, Naeimeh, Kelly, Matt, Thomas, E. Louise, Neubauer, Stefan, Hingorani, Aroon D., Patel, Riyaz S., Hemingway, Harry, Franks, Paul W., Bell, Jimmy D., Banerjee, Rajarshi, and Yaghootkar, Hanieh

Published
2019
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36. Associations Between Rheumatoid Arthritis Clinical Factors and Synovial Cell Types and States.

Author

Weisenfeld, Dana, Zhang, Fan, Donlin, Laura, Jonsson, Anna Helena, Apruzzese, William, Campbell, Debbie, Albrecht, Jennifer, Barnas, Jennifer L., Bathon, Joan M., Ben‐Artzi, Ami, Boyce, Brendan F., Boyle, David L., Louis Bridges, S., Carr, Hayley L., Ceponis, Arnold, Chicoine, Adam, Cordle, Andrew, Curtis, Michelle, Deane, Kevin D., and DiCarlo, Edward

Subjects
ENDOTHELIAL cells, RESEARCH, AUTOANTIBODIES, SYNOVIAL membranes, BIOPSY, SEQUENCE analysis, FIBROBLASTS, B cells, AGE distribution, ANTIRHEUMATIC agents, TREATMENT effectiveness, METHOTREXATE, SEX distribution, RHEUMATOID arthritis, TUMOR necrosis factors, GENE expression profiling, DISEASE duration, MYELOID cells, T cells, STATISTICAL correlation, PHENOTYPES
Abstract

Objective: Recent studies have uncovered diverse cell types and states in the rheumatoid arthritis (RA) synovium; however, limited data exist correlating these findings with patient‐level clinical information. Using the largest cohort to date with clinical and multicell data, we determined associations between RA clinical factors with cell types and states in the RA synovium. Methods: The Accelerated Medicines Partnership Rheumatoid Arthritis study recruited patients with active RA who were not receiving disease‐modifying antirheumatic drugs (DMARDs) or who had an inadequate response to methotrexate (MTX) or tumor necrosis factor inhibitors. RA clinical factors were systematically collected. Biopsies were performed on an inflamed joint, and tissue were disaggregated and processed with a cellular indexing of transcriptomes and epitopes sequencing pipeline from which the following cell type percentages and cell type abundance phenotypes (CTAPs) were derived: endothelial, fibroblast, and myeloid (EFM); fibroblasts; myeloid; T and B cells; T cells and fibroblasts (TF); and T and myeloid cells. Correlations were measured between RA clinical factors, cell type percentage, and CTAPs. Results: We studied 72 patients (mean age 57 years, 75% women, 83% seropositive, mean RA duration 6.6 years, mean Disease Activity Score‐28 C‐reactive Protein 3 [DAS28‐CRP3] score 4.8). Higher DAS28‐CRP3 correlated with a higher T cell percentage (P < 0.01). Those receiving MTX and not a biologic DMARD (bDMARD) had a higher percentage of B cells versus those receiving no DMARDs (P < 0.01). Most of those receiving bDMARDs were categorized as EFM (57%), whereas none were TF. No significant difference was observed across CTAPs for age, sex, RA disease duration, or DAS28‐CRP3. Conclusion: In this comprehensive screen of clinical factors, we observed differential associations between DMARDs and cell phenotypes, suggesting that RA therapies, more than other clinical factors, may impact cell type/state in the synovium and ultimately influence response to subsequent therapies. [ABSTRACT FROM AUTHOR]

Published
2024
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39. 35 Deciphering complement system-dependent cellular pathways in human rheumatoid arthritis synovial tissues using large single-cell computational omics

Author

Vargas, Juan, primary, Mantel, Ian, additional, Banda, Nirmal, additional, Jonsson, Anna, additional, Wei, Kevin, additional, Rao, Deepak, additional, Goodman, Susan, additional, Deane, Kevin, additional, Seifert, Jennifer, additional, Anolik, Jennifer, additional, Brenner, Michael, additional, Raychaudhuri, Soumya, additional, Holers, V. Michael, additional, Donlin, Laura, additional, and Zhang, Fan, additional

Published
2023
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42. The Influence of Subject Disciplinary Studies on Students' Implicit Theories of Intelligence and Achievement Goals in One Swedish Upper-Secondary School

Author

Jonsson, Anna-Carin and Beach, Dennis

Abstract

Upper-secondary schooling in Sweden is organised for pupils aged 16--19 in 17 different national study programs. Of these 3 are theoretical programs with mainly academic content. They prepare for further (higher education) studies. The present investigation looks at the influence from these programs on 845 upper-secondary students' implicit theories of intelligence and achievement goals. These theories have been shown by international research to have significant influence on pupils learning and achievement which is important knowledge for teachers and teacher students. The hypothesis is that exposure to one of the programs, the Natural Science Program, a) increases individual's beliefs about intelligence as fixed and inherited b) weakens the pupils tendency to choose mastery goals, and c) increase performance approach and the adoption of avoidance goals. This can have negative effects on pupils' achievement. We have investigated this using 3 × 3 between-subject ANOVA. The investigation showed that beliefs in intelligence as fixed and inherited increased among pupils who spent two or three years at the Natural Science Program and that they also showed a stronger focus on both performance avoidance and performance approach goal orientations compared with other academic program pupils.

Published
2017
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43. 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

44. Genetics of Plasma Bilirubin and Associations between Bilirubin and Cardiometabolic Risk Profiles in Danish Children and Adolescents

Author

Ullah, Asmat, primary, Stankevic, Evelina, additional, Holm, Louise Aas, additional, Stinson, Sara E., additional, Juel, Helene Bæk, additional, Fonvig, Cilius E., additional, Lund, Morten A. V., additional, Trier, Cæcilie, additional, Engelbrechtsen, Line, additional, Ängquist, Lars, additional, Jonsson, Anna E., additional, Pedersen, Oluf, additional, Grarup, Niels, additional, Holm, Jens-Christian, additional, and Hansen, Torben, additional

Published
2023
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47. Institutional Discrimination: Stereotypes and Social Reproduction of 'Class' in the Swedish Upper-Secondary School

Author

Jonsson, Anna-Carin and Beach, Dennis

Abstract

This article discusses the effects of separating 15-16 years-old school students in isolated academic and practical study programs in upper-secondary education. It is based on an investigation of the social identities developed by and about youth learners in these circumstances. In particular we examine the creation of identity positions by youth on academic programs regarding themselves and people like them (in-group characteristics) on the one hand and for other kinds of students on the other, on vocational programs. These constructions are analyzed as a product of self-categorization theory. The investigation involved 224 students from upper-secondary school academic programs. Our results showed that the academic program students expressed strong stereotypes with extremely negative potentials in relation to future social solidarity and equity. On the basis of the findings we strongly recommend introducing mixed classes in upper-secondary school, where students from academic and vocational programs take the same courses in general subjects as a way of reducing stereotypes and prejudice.

Published
2015
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48. Evidence of a liver–alpha cell axis in humans: hepatic insulin resistance attenuates relationship between fasting plasma glucagon and glucagonotropic amino acids

Author

Wewer Albrechtsen, Nicolai J., Færch, Kristine, Jensen, Troels M., Witte, Daniel R., Pedersen, Jens, Mahendran, Yuvaraj, Jonsson, Anna E., Galsgaard, Katrine D., Winther-Sørensen, Marie, Torekov, Signe S., Lauritzen, Torsten, Pedersen, Oluf, Knop, Filip K., Hansen, Torben, Jørgensen, Marit E., Vistisen, Dorte, and Holst, Jens J.

Published
2018
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49. A longitudinal single-cell therapeutic atlas of anti-tumour necrosis factor treatment in inflammatory bowel disease

Author

Thomas, Tom, primary, Rich-Griffin, Charlotte, additional, Pohin, Mathilde, additional, Friedrich, Matthias, additional, Aschenbrenner, Dominik, additional, Pakpoor, Julia, additional, Jainarayanan, Ashwin, additional, Voda, Alexandru-Ioan, additional, Sanches Peres, Raphael, additional, Nee, Eloise, additional, Sathananthan, Dharshan, additional, Kotliar, Dylan, additional, Turner, Jason, additional, Nayar, Saba, additional, Zhang, Fan, additional, Jonsson, Anna, additional, Brenner, Michael, additional, Raychaudhuri, Soumya, additional, Kulicke, Ruth, additional, Ramsdell, Danielle, additional, Stransky, Nicolas, additional, Pagliarini, Ray, additional, Belecki, Piotr, additional, Spies, Noah, additional, Wagner, Allon, additional, Walsh, Alissa, additional, Coles, Mark, additional, Jostins-Dean, Luke, additional, Powrie, Fiona, additional, Filer, Andrew, additional, Travis, Simon, additional, Uhlig, Holm, additional, Dendrou, Calliope, additional, and Buckley, Christopher, additional

Published
2023
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50. Type 2 Diabetes risk alleles in Peptidyl-glycine Alpha-amidating Monooxygenase influence GLP-1 levels and response to GLP-1 Receptor Agonists

Author

Umapathysivam, Mahesh M, primary, Araldi, Elisa, additional, Hastoy, Benoit, additional, Dawed, Adem Y, additional, Vatandaslar, Hasan, additional, Sengupta, Shahana, additional, Kaufmann, Adrian, additional, Thomsen, Søren, additional, Hartmann, Bolette, additional, Jonsson, Anna E, additional, Kabakci, Hasan, additional, Thaman, Swaraj, additional, Grarup, Niels, additional, Have, Christian T, additional, Færch, Kristine, additional, Gjesing, Anette P, additional, Nawaz, Sameena, additional, Cheeseman, Jane, additional, Neville, Matthew J, additional, Pedersen, Oluf, additional, Walker, Mark, additional, Jennison, Christopher, additional, Hattersley, Andrew T, additional, Hansen, Torben, additional, Karpe, Fredrik, additional, Holst, Jens J, additional, Jones, Angus G, additional, Ristow, Michael, additional, McCarthy, Mark I, additional, Pearson, Ewan R, additional, Stoffel, Markus, additional, and Gloyn, Anna L, additional

Published
2023
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