Search Results - "Thomas, Cecilia Engel"

Network biology concepts in complex disease comorbidities by Hu, Jessica Xin, Thomas, Cecilia Engel, Brunak, Søren

“…Key Points Disease progression patterns of patients with more than one disease have recently received increasing attention, as disease co-occurrences can help…”
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Facets of individual-specific health signatures determined from longitudinal plasma proteome profiling by Dodig-Crnković, Tea, Hong, Mun-Gwan, Thomas, Cecilia Engel, Häussler, Ragna S., Bendes, Annika, Dale, Matilda, Edfors, Fredrik, Forsström, Björn, Magnusson, Patrik K.E., Schuppe-Koistinen, Ina, Odeberg, Jacob, Fagerberg, Linn, Gummesson, Anders, Bergström, Göran, Uhlén, Mathias, Schwenk, Jochen M.

“…Precision medicine approaches aim to tackle diseases on an individual level through molecular profiling. Despite the growing knowledge about diseases and the…”
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Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts by Atabaki-Pasdar, Naeimeh, Ohlsson, Mattias, Viñuela, Ana, Frau, Francesca, Pomares-Millan, Hugo, Haid, Mark, Jones, Angus G, Thomas, E Louise, Koivula, Robert W, Kurbasic, Azra, Mutie, Pascal M, Fitipaldi, Hugo, Fernandez, Juan, Dawed, Adem Y, Giordano, Giuseppe N, Forgie, Ian M, McDonald, Timothy J, Rutters, Femke, Cederberg, Henna, Chabanova, Elizaveta, Dale, Matilda, Masi, Federico De, Thomas, Cecilia Engel, Allin, Kristine H, Hansen, Tue H, Heggie, Alison, Hong, Mun-Gwan, Elders, Petra J M, Kennedy, Gwen, Kokkola, Tarja, Pedersen, Helle Krogh, Mahajan, Anubha, McEvoy, Donna, Pattou, Francois, Raverdy, Violeta, Häussler, Ragna S, Sharma, Sapna, Thomsen, Henrik S, Vangipurapu, Jagadish, Vestergaard, Henrik, 't Hart, Leen M, Adamski, Jerzy, Musholt, Petra B, Brage, Soren, Brunak, Søren, Dermitzakis, Emmanouil, Frost, Gary, Hansen, Torben, Laakso, Markku, Pedersen, Oluf, Ridderstråle, Martin, Ruetten, Hartmut, Hattersley, Andrew T, Walker, Mark, Beulens, Joline W J, Mari, Andrea, Schwenk, Jochen M, Gupta, Ramneek, McCarthy, Mark I, Pearson, Ewan R, Bell, Jimmy D, Pavo, Imre, Franks, Paul W

“…Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D)…”
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TumorTracer: a method to identify the tissue of origin from the somatic mutations of a tumor specimen by Marquard, Andrea Marion, Birkbak, Nicolai Juul, Thomas, Cecilia Engel, Favero, Francesco, Krzystanek, Marcin, Lefebvre, Celine, Ferté, Charles, Jamal-Hanjani, Mariam, Wilson, Gareth A, Shafi, Seema, Swanton, Charles, André, Fabrice, Szallasi, Zoltan, Eklund, Aron Charles

“…A substantial proportion of cancer cases present with a metastatic tumor and require further testing to determine the primary site; many of these are never…”
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Whole blood co-expression modules associate with metabolic traits and type 2 diabetes: an IMI-DIRECT study by Gudmundsdottir, Valborg, Pedersen, Helle Krogh, Mazzoni, Gianluca, Allin, Kristine H, Artati, Anna, Beulens, Joline W, Banasik, Karina, Brorsson, Caroline, Cederberg, Henna, Chabanova, Elizaveta, De Masi, Federico, Elders, Petra J, Forgie, Ian, Giordano, Giuseppe N, Grallert, Harald, Gupta, Ramneek, Haid, Mark, Hansen, Torben, Hansen, Tue H, Hattersley, Andrew T, Heggie, Alison, Hong, Mun-Gwan, Jones, Angus G, Koivula, Robert, Kokkola, Tarja, Laakso, Markku, Løngreen, Peter, Mahajan, Anubha, Mari, Andrea, McDonald, Timothy J, McEvoy, Donna, Musholt, Petra B, Pavo, Imre, Prehn, Cornelia, Ruetten, Hartmut, Ridderstråle, Martin, Rutters, Femke, Sharma, Sapna, Slieker, Roderick C, Syed, Ali, Tajes, Juan Fernandez, Thomas, Cecilia Engel, Thomsen, Henrik S, Vangipurapu, Jagadish, Vestergaard, Henrik, Viñuela, Ana, Wesolowska-Andersen, Agata, Walker, Mark, Adamski, Jerzy, Schwenk, Jochen M, McCarthy, Mark I, Pearson, Ewan, Dermitzakis, Emmanouil, Franks, Paul W, Pedersen, Oluf, Brunak, Søren

“…The rising prevalence of type 2 diabetes (T2D) poses a major global challenge. It remains unresolved to what extent transcriptomic signatures of metabolic…”
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Profiles of histidine-rich glycoprotein associate with age and risk of all-cause mortality by Hong, Mun-Gwan, Dodig-Crnković, Tea, Chen, Xu, Drobin, Kimi, Lee, Woojoo, Wang, Yunzhang, Edfors, Fredrik, Kotol, David, Thomas, Cecilia Engel, Sjöberg, Ronald, Odeberg, Jacob, Hamsten, Anders, Silveira, Angela, Hall, Per, Nilsson, Peter, Pawitan, Yudi, Uhlén, Mathias, Pedersen, Nancy L, Hägg, Sara, Magnusson, Patrik KE, Schwenk, Jochen M

“…Despite recognizing aging as a common risk factor of many human diseases, little is known about its molecular traits. To identify age-associated proteins…”
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A reference map of potential determinants for the human serum metabolome by Bar, Noam, Korem, Tal, Weissbrod, Omer, Zeevi, David, Rothschild, Daphna, Leviatan, Sigal, Kosower, Noa, Lotan-Pompan, Maya, Weinberger, Adina, Le Roy, Caroline I., Menni, Cristina, Visconti, Alessia, Falchi, Mario, Spector, Tim D., Adamski, Jerzy, Franks, Paul W., Pedersen, Oluf, Segal, Eran

“…The serum metabolome contains a plethora of biomarkers and causative agents of various diseases, some of which are endogenously produced and some that have…”
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Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models by Allesøe, Rosa Lundbye, Lundgaard, Agnete Troen, Hernández Medina, Ricardo, Aguayo-Orozco, Alejandro, Johansen, Joachim, Nissen, Jakob Nybo, Brorsson, Caroline, Mazzoni, Gianluca, Niu, Lili, Biel, Jorge Hernansanz, Leal Rodríguez, Cristina, Brasas, Valentas, Webel, Henry, Benros, Michael Eriksen, Pedersen, Anders Gorm, Chmura, Piotr Jaroslaw, Jacobsen, Ulrik Plesner, Mari, Andrea, Koivula, Robert, Mahajan, Anubha, Vinuela, Ana, Tajes, Juan Fernandez, Sharma, Sapna, Haid, Mark, Hong, Mun-Gwan, Musholt, Petra B., De Masi, Federico, Vogt, Josef, Pedersen, Helle Krogh, Gudmundsdottir, Valborg, Jones, Angus, Kennedy, Gwen, Bell, Jimmy, Thomas, E. Louise, Frost, Gary, Thomsen, Henrik, Hansen, Elizaveta, Hansen, Tue Haldor, Vestergaard, Henrik, Muilwijk, Mirthe, Blom, Marieke T., ‘t Hart, Leen M., Pattou, Francois, Raverdy, Violeta, Brage, Soren, Kokkola, Tarja, Heggie, Alison, McEvoy, Donna, Mourby, Miranda, Kaye, Jane, Hattersley, Andrew, McDonald, Timothy, Ridderstråle, Martin, Walker, Mark, Forgie, Ian, Giordano, Giuseppe N., Pavo, Imre, Ruetten, Hartmut, Pedersen, Oluf, Hansen, Torben, Dermitzakis, Emmanouil, Franks, Paul W., Schwenk, Jochen M., Adamski, Jerzy, McCarthy, Mark I., Pearson, Ewan, Banasik, Karina, Rasmussen, Simon, Brunak, Søren

“…The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized…”
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The impact of circulating protein levels identified by affinity proteomics on short-term, overall breast cancer risk by Grassmann, Felix, Mälarstig, Anders, Dahl, Leo, Bendes, Annika, Dale, Matilda, Thomas, Cecilia Engel, Gabrielsson, Marike, Hedman, Åsa K., Eriksson, Mikael, Margolin, Sara, Huang, Tzu-Hsuan, Ulfstedt, Mikael, Forsberg, Simon, Eriksson, Per, Johansson, Mattias, Hall, Per, Schwenk, Jochen M., Czene, Kamila

“…Objective Current breast cancer risk prediction scores and algorithms can potentially be further improved by including molecular markers. To this end, we…”
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Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits by Brown, Andrew A., Fernandez-Tajes, Juan J., Hong, Mun-gwan, Brorsson, Caroline A., Koivula, Robert W., Davtian, David, Dupuis, Théo, Sartori, Ambra, Michalettou, Theodora-Dafni, Forgie, Ian M., Adam, Jonathan, Allin, Kristine H., Caiazzo, Robert, Cederberg, Henna, De Masi, Federico, Elders, Petra J. M., Giordano, Giuseppe N., Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison J., Howald, Cédric, Jones, Angus G., Kokkola, Tarja, Laakso, Markku, Mahajan, Anubha, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Mourby, Miranda, Musholt, Petra B., Nilsson, Birgitte, Pattou, Francois, Penet, Deborah, Raverdy, Violeta, Ridderstråle, Martin, Romano, Luciana, Rutters, Femke, Sharma, Sapna, Teare, Harriet, ‘t Hart, Leen, Tsirigos, Konstantinos D., Vangipurapu, Jagadish, Vestergaard, Henrik, Brunak, Søren, Franks, Paul W., Frost, Gary, Grallert, Harald, Jablonka, Bernd, McCarthy, Mark I., Pavo, Imre, Pedersen, Oluf, Ruetten, Hartmut, Walker, Mark, Adamski, Jerzy, Schwenk, Jochen M., Pearson, Ewan R., Dermitzakis, Emmanouil T., Viñuela, Ana

“…We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic…”
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Evaluation of circulating plasma proteins in breast cancer using Mendelian randomisation by Mälarstig, Anders, Grassmann, Felix, Dahl, Leo, Dimitriou, Marios, McLeod, Dianna, Gabrielson, Marike, Smith-Byrne, Karl, Thomas, Cecilia E., Huang, Tzu-Hsuan, Forsberg, Simon K. G., Eriksson, Per, Ulfstedt, Mikael, Johansson, Mattias, Sokolov, Aleksandr V., Schiöth, Helgi B., Hall, Per, Schwenk, Jochen M., Czene, Kamila, Hedman, Åsa K.

“…Biomarkers for early detection of breast cancer may complement population screening approaches to enable earlier and more precise treatment. The blood proteome…”
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Author Correction: Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models by Allesøe, Rosa Lundbye, Lundgaard, Agnete Troen, Hernández Medina, Ricardo, Aguayo-Orozco, Alejandro, Johansen, Joachim, Nissen, Jakob Nybo, Brorsson, Caroline, Mazzoni, Gianluca, Niu, Lili, Biel, Jorge Hernansanz, Leal Rodríguez, Cristina, Brasas, Valentas, Webel, Henry, Benros, Michael Eriksen, Pedersen, Anders Gorm, Chmura, Piotr Jaroslaw, Jacobsen, Ulrik Plesner, Mari, Andrea, Koivula, Robert, Mahajan, Anubha, Vinuela, Ana, Tajes, Juan Fernandez, Sharma, Sapna, Haid, Mark, Hong, Mun-Gwan, Musholt, Petra B., De Masi, Federico, Vogt, Josef, Pedersen, Helle Krogh, Gudmundsdottir, Valborg, Jones, Angus, Kennedy, Gwen, Bell, Jimmy, Thomas, E. Louise, Frost, Gary, Thomsen, Henrik, Hansen, Elizaveta, Hansen, Tue Haldor, Vestergaard, Henrik, Muilwijk, Mirthe, Blom, Marieke T., ‘t Hart, Leen M., Pattou, Francois, Raverdy, Violeta, Brage, Soren, Kokkola, Tarja, Heggie, Alison, McEvoy, Donna, Mourby, Miranda, Kaye, Jane, Hattersley, Andrew, McDonald, Timothy, Ridderstråle, Martin, Walker, Mark, Forgie, Ian, Giordano, Giuseppe N., Pavo, Imre, Ruetten, Hartmut, Pedersen, Oluf, Hansen, Torben, Dermitzakis, Emmanouil, Franks, Paul W., Schwenk, Jochen M., Adamski, Jerzy, McCarthy, Mark I., Pearson, Ewan, Banasik, Karina, Rasmussen, Simon, Brunak, Søren

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MetaRanker 2.0: a web server for prioritization of genetic variation data by Pers, Tune H, Dworzyński, Piotr, Thomas, Cecilia Engel, Lage, Kasper, Brunak, Søren

“…MetaRanker 2.0 is a web server for prioritization of common and rare frequency genetic variation data. Based on heterogeneous data sets including genetic…”
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Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study by Wesolowska-Andersen, Agata, Brorsson, Caroline A., Bizzotto, Roberto, Mari, Andrea, Tura, Andrea, Koivula, Robert, Mahajan, Anubha, Vinuela, Ana, Tajes, Juan Fernandez, Sharma, Sapna, Haid, Mark, Prehn, Cornelia, Artati, Anna, Hong, Mun-Gwan, Musholt, Petra B., Kurbasic, Azra, De Masi, Federico, Tsirigos, Kostas, Pedersen, Helle Krogh, Gudmundsdottir, Valborg, Thomas, Cecilia Engel, Banasik, Karina, Jennison, Chrisopher, Jones, Angus, Kennedy, Gwen, Bell, Jimmy, Thomas, Louise, Frost, Gary, Thomsen, Henrik, Allin, Kristine, Hansen, Tue Haldor, Vestergaard, Henrik, Hansen, Torben, Rutters, Femke, Elders, Petra, t’Hart, Leen, Bonnefond, Amelie, Canouil, Mickaël, Brage, Soren, Kokkola, Tarja, Heggie, Alison, McEvoy, Donna, Hattersley, Andrew, McDonald, Timothy, Teare, Harriet, Ridderstrale, Martin, Walker, Mark, Forgie, Ian, Giordano, Giuseppe N., Froguel, Philippe, Pavo, Imre, Ruetten, Hartmut, Pedersen, Oluf, Dermitzakis, Emmanouil, Franks, Paul W., Schwenk, Jochen M., Adamski, Jerzy, Pearson, Ewan, McCarthy, Mark I., Brunak, Søren

“…The presentation and underlying pathophysiology of type 2 diabetes (T2D) is complex and heterogeneous. Recent studies attempted to stratify T2D into distinct…”
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Individual effects of gastric bypass surgery on longitudinal blood protein profiles: an IMI DIRECT study by Thomas, Cecilia Engel, Häussler, Ragna S., Hong, Mun-Gwan, Raverdy, V., Dale, Matilda, Vinuela, A., Canouil, M., Dermitzakis, E. T., Froguel, P., Brunak, S., Pattou, F., Schwenk, Jochen M.

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Circulating proteins reveal prior use of menopausal hormonal therapy and increased risk of breast cancer by Thomas, Cecilia E., Dahl, Leo, Byström, Sanna, Chen, Yan, Uhlén, Mathias, Mälarstig, Anders, Czene, Kamila, Hall, Per, Schwenk, Jochen M., Gabrielson, Marike

“…•Current risk prediction models use a variety of factors to identify women at risk of developing breast cancer.•Proteins circulating in blood represent an…”
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Proteome profiling of home-sampled dried blood spots reveals proteins of SARS-CoV-2 infections by Fredolini, Claudia, Dodig-Crnković, Tea, Bendes, Annika, Dahl, Leo, Dale, Matilda, Albrecht, Vincent, Mattsson, Cecilia, Thomas, Cecilia E., Torinsson Naluai, Åsa, Gisslen, Magnus, Beck, Olof, Roxhed, Niclas, Schwenk, Jochen M.

“…Background Self-sampling of dried blood spots (DBS) offers new routes to gather valuable health-related information from the general population. Yet, the…”
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