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5. Wars with and for Humanity

Author

Jones, Craig, Shah, Nisha, Krieger, Heike, Editor-in-Chief, Kalmanovitz, Pablo, Series Editor, Lieblich, Eliav, Series Editor, and Mignot-Mahdavi, Rebecca, Series Editor

Published
2023
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9. Ventral Tegmental Dopamine Neurons Participate in Reward Identity Predictions

Author

Keiflin, Ronald, Pribut, Heather J, Shah, Nisha B, and Janak, Patricia H

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Neurosciences, Behavioral and Social Science, Mental health, Animals, Cues, Dopaminergic Neurons, Female, Learning, Male, Rats, Rats, Transgenic, Reinforcement, Psychology, Reward, Substantia Nigra, Ventral Tegmental Area, blocking, conditioning, dopamine, learning, model-based, model-free, optogenetics, reward-prediction error, substantia nigra, ventral tegmental area, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract

Dopamine (DA) neurons in the ventral tegmental area (VTA) and substantia nigra (SNc) encode reward prediction errors (RPEs) and are proposed to mediate error-driven learning. However, the learning strategy engaged by DA-RPEs remains controversial. RPEs might imbue predictive cues with pure value, independently of representations of their associated outcome. Alternatively, RPEs might promote learning about the sensory features (the identity) of the rewarding outcome. Here, we show that, although both VTA and SNc DA neuron activation reinforces instrumental responding, only VTA DA neuron activation during consumption of expected sucrose reward restores error-driven learning and promotes formation of a new cue→sucrose association. Critically, expression of VTA DA-dependent Pavlovian associations is abolished following sucrose devaluation, a signature of identity-based learning. These findings reveal that activation of VTA- or SNc-DA neurons engages largely dissociable learning processes with VTA-DA neurons capable of participating in outcome-specific predictive learning, and the role of SNc-DA neurons appears limited to reinforcement of instrumental responses.

Published
2019

21. Isolation and Characterisation of Fowl Adenovirus Serotype 11 from Indian Commercial Poultry Flocks

Author

Pal, Joy Kishor, primary, Khandelwal, Nitin, additional, Padhiyar, Sweta, additional, Chavda, Nilam, additional, Rathod, Pankaj, additional, Raiji, Chaitali, additional, Arya, Janak, additional, Shah, Nisha, additional, Baksi, Surajit, additional, J Ghodasara, Dinesh, additional, Nayak, Srutikant, additional, and Chhikara, Manoj Kumar, additional

Published
2024
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23. Anal Cancer Screening in Men Who Have Sex With Men in the Multicenter AIDS Cohort Study

Author

D'Souza, Gypsyamber, Wentz, Alicia, Wiley, Dorothy, Shah, Nisha, Barrington, Francine, Darragh, Teresa M, Joste, Nancy, Plankey, Michael, Reddy, Susheel, Breen, Elizabeth C, Young, Stephen, and Cranston, Ross D

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Cancer, Clinical Research, Infectious Diseases, Sexual and Gender Minorities (SGM/LGBT*), Prevention, HIV/AIDS, 2.1 Biological and endogenous factors, Aetiology, Infection, Adult, Aged, Anus Neoplasms, CD4 Lymphocyte Count, CD4-Positive T-Lymphocytes, Carcinoma, Squamous Cell, Cohort Studies, Cytodiagnosis, Early Detection of Cancer, HIV Infections, Homosexuality, Male, Humans, Male, Middle Aged, Papillomavirus Infections, Prevalence, Proctoscopy, United States, anal cancer, HIV, MSM, HPV, screening, MACS, anal cytology, anal dysplasia, Public Health and Health Services, Virology, Clinical sciences, Epidemiology, Public health
Abstract

ObjectiveTo evaluate the prevalence of anal cytology (ACyt) abnormalities among HIV-infected and HIV-uninfected men who have sex with men (MSM).DesignMulticenter cohort study of 723 HIV-infected and 788 HIV-uninfected MSM with ACyt, with a second ACyt collected 2 years later. A referral for high-resolution anoscopy was suggested for abnormal ACyt.MethodsACyt samples were collected using a polyester swab and liquid cytology media and read in a central laboratory.ResultsPrevalence of any abnormal ACyt was 25% in HIV-uninfected MSM and increased to 38%, 41%, and 47% among HIV-infected MSM with current CD4 T-cell counts ≥500, 350-499, and

Published
2016

24. Anal Cancer Screening in Men Who Have Sex With Men in the Multicenter AIDS Cohort Study.

Author

DʼSouza, Gypsyamber, Wentz, Alicia, Wiley, Dorothy, Shah, Nisha, Barrington, Francine, Darragh, Teresa M, Joste, Nancy, Plankey, Michael, Reddy, Susheel, Breen, Elizabeth C, Young, Stephen, and Cranston, Ross D

Subjects
CD4-Positive T-Lymphocytes, Humans, Papillomavirus Infections, HIV Infections, Carcinoma, Squamous Cell, Anus Neoplasms, Proctoscopy, Cytodiagnosis, CD4 Lymphocyte Count, Prevalence, Cohort Studies, Homosexuality, Male, Adult, Aged, Middle Aged, United States, Male, Early Detection of Cancer, anal cancer, HIV, MSM, HPV, screening, MACS, anal cytology, anal dysplasia, Carcinoma, Squamous Cell, Homosexuality, Clinical Sciences, Public Health and Health Services, Virology
Abstract

ObjectiveTo evaluate the prevalence of anal cytology (ACyt) abnormalities among HIV-infected and HIV-uninfected men who have sex with men (MSM).DesignMulticenter cohort study of 723 HIV-infected and 788 HIV-uninfected MSM with ACyt, with a second ACyt collected 2 years later. A referral for high-resolution anoscopy was suggested for abnormal ACyt.MethodsACyt samples were collected using a polyester swab and liquid cytology media and read in a central laboratory.ResultsPrevalence of any abnormal ACyt was 25% in HIV-uninfected MSM and increased to 38%, 41%, and 47% among HIV-infected MSM with current CD4 T-cell counts ≥500, 350-499, and

Published
2016

26. 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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30. On the horizon: The futures of IR.

Author

Coward, Martin, Paterson, Matthew, Devetak, Richard, Moulin, Carolina, Shah, Nisha, Zehfuss, Maja, and Zevnik, Andreja

Subjects
TECHNOLOGICAL innovations, COLONIZATION, RACIALIZATION, INTERNATIONAL relations, CLIMATE change
Abstract

This Special Issue celebrates the 50th anniversary of Review of International Studies. Since 1975, the Review has published over 200 issues and over 1300 articles. The journal has played a key role in shaping the discipline of International Relations (IR), leading, or critically intervening in, key debates. To celebrate 50 years of Review of International Studies , we have curated a Special Issue examining the challenges facing global politics for the next 50 years. IR has regularly turned its attention backwards towards its historical origins. Instead, we look to the future. In this Introduction, we start by outlining four traditions of future-oriented thinking: positivist, realist prediction; planning, forecasting, and scenario-building; utopian dreams of an ideal political future; and prefigurative thinking in activist politics. From these traditions, we learn that thinking about the future is always thinking about the present. We then outline four themes in the Special Issue articles: How do we think about the future at all? How do we think about imperial pasts and the ongoing questions of colonization and racialization in the present? How will technological change mediate and generates geopolitical change? How are socioecological crises, and in particular climate change, increasingly shaping how we think about the future of global politics? Overall, these provide us with a diverse, stimulating, and thought-provoking set of essays about the future of global politics, as both discipline and set of empirical problems. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Public Preferences for Digital Health Data Sharing: Discrete Choice Experiment Study in 12 European Countries

Author

Biasiotto, Roberta, primary, Viberg Johansson, Jennifer, additional, Alemu, Melaku Birhanu, additional, Romano, Virginia, additional, Bentzen, Heidi Beate, additional, Kaye, Jane, additional, Ancillotti, Mirko, additional, Blom, Johanna Maria Catharina, additional, Chassang, Gauthier, additional, Hallinan, Dara, additional, Jónsdóttir, Guðbjörg Andrea, additional, Monasterio Astobiza, Aníbal, additional, Rial-Sebbag, Emmanuelle, additional, Rodríguez-Arias, David, additional, Shah, Nisha, additional, Skovgaard, Lea, additional, Staunton, Ciara, additional, Tschigg, Katharina, additional, Veldwijk, Jorien, additional, and Mascalzoni, Deborah, additional

Published
2023
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35. Clinical efficacy and safety of a light mask for prevention of dark adaptation in treating and preventing progression of early diabetic macular oedema at 24 months (CLEOPATRA): a multicentre, phase 3, randomised controlled trial

Author

Ahfat, Frank, Bhatnagar, Ajay, Narendran, Nirodhini, Chavan, Randhir, Cole, Abosede, Crosby-Nwaobi, Roxanne, Patrao, Namritha, Menon, Deepthy, Hogg, Chris, Rubin, Gary, Leitch-Devlin, Lauren, Egan, Catherine, Shah, Nisha, Mansour, Tatiana, Peto, Tunde, Eleftheriadis, Haralabos, Gibson, Joanathan, Ghulakhszian, Arevik, Vafidis, Gilli, Hughes, Edward, Jafree, Afsar, Menon, Geeta, Prakash, Priya, Sandinha, Maria, Smith, Richard, Scanlon, Peter, Chave, Steve, Aldington, Steve, Dale, Angela, Hood, Gillian, Hitman, Graham A, Crabb, David, Denniston, Alaistair, Lewin, Douglas, Grierson, Ian, Walker, Sarah, Sturt, Jackie, Sahu, Debendra, Sivaprasad, Sobha, Vasconcelos, Joana C, Prevost, A Toby, Holmes, Helen, Hykin, Philip, George, Sheena, Murphy, Caroline, Kelly, Joanna, and Arden, Geoffrey B

Published
2018
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37. Pharmacology and Therapeutic Potential of Benzothiazole Analogues for Cocaine Use Disorder

Author

Boateng, Comfort A., primary, Nilson, Ashley N., additional, Placide, Rebekah, additional, Pham, Mimi L., additional, Jakobs, Franziska M., additional, Boldizsar, Noelia, additional, McIntosh, Scot, additional, Stallings, Leia S., additional, Korankyi, Ivana V., additional, Kelshikar, Shreya, additional, Shah, Nisha, additional, Panasis, Diandra, additional, Muccilli, Abigail, additional, Ladik, Maria, additional, Maslonka, Brianna, additional, McBride, Connor, additional, Sanchez, Moises Ximello, additional, Akca, Ebrar, additional, Alkhatib, Mohammad, additional, Saez, Julianna, additional, Nguyen, Catherine, additional, Kurtyan, Emily, additional, DePierro, Jacquelyn, additional, Crowthers, Raymond, additional, Brunt, Dylan, additional, Bonifazi, Alessandro, additional, Newman, Amy Hauck, additional, Rais, Rana, additional, Slusher, Barbara S., additional, Free, R. Benjamin, additional, Sibley, David R., additional, Stewart, Kent D., additional, Wu, Chun, additional, Hemby, Scott E., additional, and Keck, Thomas M., additional

Published
2023
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40. Automated and Material-Sparing Workflow for the Measurement of Crystal Nucleation and Growth Kinetics

Author

Arruda, Ryan J., primary, Cally, Paul A.J., additional, Wylie, Anthony, additional, Shah, Nisha, additional, Joel, Ibrahim, additional, Leff, Zachary A., additional, Clark, Alexander, additional, Fountain, Griffin, additional, Neves, Layane, additional, Kratz, Joseph, additional, Thorat, Alpana A., additional, Marziano, Ivan, additional, Rose, Peter R., additional, Girard, Kevin P., additional, and Capellades, Gerard, additional

Published
2023
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41. Public Preferences for Digital Health Data Sharing : Discrete Choice Experiment Study in 12 European Countries.

Author

Biasiotto, Roberta, Viberg Johansson, Jennifer, Alemu, Melaku Birhanu, Romano, Virginia, Bentzen, Heidi Beate, Kaye, Jane, Ancillotti, Mirko, Blom, Johanna Maria Catharina, Chassang, Gauthier, Hallinan, Dara, Jónsdóttir, Guðbjörg Andrea, Monasterio Astobiza, Aníbal, Rial-Sebbag, Emmanuelle, Rodríguez-Arias, David, Shah, Nisha, Skovgaard, Lea, Staunton, Ciara, Tschigg, Katharina, Veldwijk, Jorien, Mascalzoni, Deborah, Biasiotto, Roberta, Viberg Johansson, Jennifer, Alemu, Melaku Birhanu, Romano, Virginia, Bentzen, Heidi Beate, Kaye, Jane, Ancillotti, Mirko, Blom, Johanna Maria Catharina, Chassang, Gauthier, Hallinan, Dara, Jónsdóttir, Guðbjörg Andrea, Monasterio Astobiza, Aníbal, Rial-Sebbag, Emmanuelle, Rodríguez-Arias, David, Shah, Nisha, Skovgaard, Lea, Staunton, Ciara, Tschigg, Katharina, Veldwijk, Jorien, and Mascalzoni, Deborah

Abstract

BACKGROUND: With new technologies, health data can be collected in a variety of different clinical, research, and public health contexts, and then can be used for a range of new purposes. Establishing the public's views about digital health data sharing is essential for policy makers to develop effective harmonization initiatives for digital health data governance at the European level. OBJECTIVE: This study investigated public preferences for digital health data sharing. METHODS: A discrete choice experiment survey was administered to a sample of European residents in 12 European countries (Austria, Denmark, France, Germany, Iceland, Ireland, Italy, the Netherlands, Norway, Spain, Sweden, and the United Kingdom) from August 2020 to August 2021. Respondents answered whether hypothetical situations of data sharing were acceptable for them. Each hypothetical scenario was defined by 5 attributes ("data collector," "data user," "reason for data use," "information on data sharing and consent," and "availability of review process"), which had 3 to 4 attribute levels each. A latent class model was run across the whole data set and separately for different European regions (Northern, Central, and Southern Europe). Attribute relative importance was calculated for each latent class's pooled and regional data sets. RESULTS: A total of 5015 completed surveys were analyzed. In general, the most important attribute for respondents was the availability of information and consent during health data sharing. In the latent class model, 4 classes of preference patterns were identified. While respondents in 2 classes strongly expressed their preferences for data sharing with opposing positions, respondents in the other 2 classes preferred not to share their data, but attribute levels of the situation could have had an impact on their preferences. Respondents generally found the following to be the most acceptable: a national authority or academic research project as the data user; bein, The last two authors contributed equally., Governance of health data in cyberspace

Published
2023
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42. Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models

Author

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, 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, Froguel, Philippe, Thomas, Cecilia Engel, Häussler, Ragna S., Beulens, Joline, Rutters, Femke, Nijpels, Giel, van Oort, Sabine, Groeneveld, Lenka, Elders, Petra, Giorgino, Toni, Rodriquez, Marianne, Nice, Rachel, Perry, Mandy, Bianzano, Susanna, Graefe-Mody, Ulrike, Hennige, Anita, Grempler, Rolf, Baum, Patrick, Stærfeldt, Hans Henrik, Shah, Nisha, Teare, Harriet, Ehrhardt, Beate, Tillner, Joachim, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinevich, Iryna, Cabrelli, Louise, Loftus, Heather, Bizzotto, Roberto, Tura, Andrea, Dekkers, Koen, 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, 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, Froguel, Philippe, Thomas, Cecilia Engel, Häussler, Ragna S., Beulens, Joline, Rutters, Femke, Nijpels, Giel, van Oort, Sabine, Groeneveld, Lenka, Elders, Petra, Giorgino, Toni, Rodriquez, Marianne, Nice, Rachel, Perry, Mandy, Bianzano, Susanna, Graefe-Mody, Ulrike, Hennige, Anita, Grempler, Rolf, Baum, Patrick, Stærfeldt, Hans Henrik, Shah, Nisha, Teare, Harriet, Ehrhardt, Beate, Tillner, Joachim, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinevich, Iryna, Cabrelli, Louise, Loftus, Heather, Bizzotto, Roberto, Tura, Andrea, and Dekkers, Koen

Abstract

The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized response to treatment. However, the scale and heterogeneous nature of multi-modal data makes integration and inference a non-trivial task. We developed a deep-learning-based framework, multi-omics variational autoencoders (MOVE), to integrate such data and applied it to a cohort of 789 people with newly diagnosed type 2 diabetes with deep multi-omics phenotyping from the DIRECT consortium. Using in silico perturbations, we identified drug–omics associations across the multi-modal datasets for the 20 most prevalent drugs given to people with type 2 diabetes with substantially higher sensitivity than univariate statistical tests. From these, we among others, identified novel associations between metformin and the gut microbiota as well as opposite molecular responses for the two statins, simvastatin and atorvastatin. We used the associations to quantify drug–drug similarities, assess the degree of polypharmacy and conclude that drug effects are distributed across the multi-omics modalities., Correction in DOI 10.1038/s41587-023-01805-9QC 20230626

Published
2023
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43. Public Preferences for Digital Health Data Sharing:Discrete Choice Experiment Study in 12 European Countries

Author

Biasiotto, Roberta, Viberg Johansson, Jennifer, Alemu, Melaku Birhanu, Romano, Virginia, Bentzen, Heidi Beate, Kaye, Jane, Ancillotti, Mirko, Blom, Johanna Maria Catharina, Chassang, Gauthier, Hallinan, Dara, Jónsdóttir, Guðbjörg Andrea, Monasterio Astobiza, Aníbal, Rial-Sebbag, Emmanuelle, Rodríguez-Arias, David, Shah, Nisha, Skovgaard, Lea, Staunton, Ciara, Tschigg, Katharina, Veldwijk, Jorien, Mascalzoni, Deborah, Biasiotto, Roberta, Viberg Johansson, Jennifer, Alemu, Melaku Birhanu, Romano, Virginia, Bentzen, Heidi Beate, Kaye, Jane, Ancillotti, Mirko, Blom, Johanna Maria Catharina, Chassang, Gauthier, Hallinan, Dara, Jónsdóttir, Guðbjörg Andrea, Monasterio Astobiza, Aníbal, Rial-Sebbag, Emmanuelle, Rodríguez-Arias, David, Shah, Nisha, Skovgaard, Lea, Staunton, Ciara, Tschigg, Katharina, Veldwijk, Jorien, and Mascalzoni, Deborah

Abstract

BACKGROUND: With new technologies, health data can be collected in a variety of different clinical, research, and public health contexts, and then can be used for a range of new purposes. Establishing the public's views about digital health data sharing is essential for policy makers to develop effective harmonization initiatives for digital health data governance at the European level. OBJECTIVE: This study investigated public preferences for digital health data sharing. METHODS:A discrete choice experiment survey was administered to a sample of European residents in 12 European countries (Austria, Denmark, France, Germany, Iceland, Ireland, Italy, the Netherlands, Norway, Spain, Sweden, and the United Kingdom) from August 2020 to August 2021. Respondents answered whether hypothetical situations of data sharing were acceptable for them. Each hypothetical scenario was defined by 5 attributes ("data collector," "data user," "reason for data use," "information on data sharing and consent," and "availability of review process"), which had 3 to 4 attribute levels each. A latent class model was run across the whole data set and separately for different European regions (Northern, Central, and Southern Europe). Attribute relative importance was calculated for each latent class's pooled and regional data sets. RESULTS: A total of 5015 completed surveys were analyzed. In general, the most important attribute for respondents was the availability of information and consent during health data sharing. In the latent class model, 4 classes of preference patterns were identified. While respondents in 2 classes strongly expressed their preferences for data sharing with opposing positions, respondents in the other 2 classes preferred not to share their data, but attribute levels of the situation could have had an impact on their preferences. Respondents generally found the following to be the most accep

Published
2023

44. Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits

Author

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, Adragni, Kofi, Allesøe, Rosa Lundbye L., Artati, Anna A., Arumugam, Manimozhiyan, Atabaki-Pasdar, Naeimeh, Baltauss, Tania, Banasik, Karina, Barnett, Anna L., Baum, Patrick, Bell, Jimmy D., Beulens, Joline W., Bianzano, Susanna B., Bizzotto, Roberto, Bonnefond, Amelie, Cabrelli, Louise, Dale, Matilda, Dawed, Adem Y., de Preville, Nathalie, Dekkers, Koen F., Deshmukh, Harshal A., Dings, Christiane, Donnelly, Louise, Dutta, Avirup, Ehrhardt, Beate, Engelbrechtsen, Line, Eriksen, Rebeca, Fan, Yong, Ferrer, Jorge, Fitipaldi, Hugo, Forman, Annemette, Fritsche, Andreas, Froguel, Philippe, Gassenhuber, Johann, Gough, Stephen, Graefe-Mody, Ulrike, Grempler, Rolf, Groeneveld, Lenka, Groop, Leif, Gudmundsdóttir, Valborg, Gupta, Ramneek, Hennige, Anita M.H., Hill, Anita V., Holl, Reinhard W., Hudson, Michelle, Jacobsen, Ulrik Plesner, Jennison, Christopher, Johansen, Joachim, Jonsson, Anna, Karaderi, Tugce, Kaye, Jane, Kennedy, Gwen, Klintenberg, Maria, Kuulasmaa, Teemu, Lehr, Thorsten, Loftus, Heather, Lundgaard, Agnete Troen T., Mazzoni, Gianluca, McRobert, Nicky, McVittie, Ian, Nice, Rachel, Nicolay, Claudia, Nijpels, Giel, Palmer, Colin N., Pedersen, Helle K., Perry, Mandy H., Pomares-Millan, Hugo, Prehn, Cornelia P., Ramisch, Anna, Rasmussen, Simon, Robertson, Neil, Rodriquez, Marianne, Sackett, Peter, Scherer, Nina, Shah, Nisha, Sihinevich, Iryna, Slieker, Roderick C., Sondertoft, Nadja B., Steckel-Hamann, Birgit, Thomas, Melissa K., Thomas, Cecilia Engel E., Thomas, Elizabeth Louise L., Thorand, Barbara, Thorne, Claire E., Tillner, Joachim, Tura, Andrea, Uhlen, Mathias, van Leeuwen, Nienke, van Oort, Sabine, Verkindt, Helene, Vogt, Josef, Wad Sackett, Peter W., Wesolowska-Andersen, Agata, Whitcher, Brandon, White, Margaret W., Adamski, Jerzy, Schwenk, Jochen M., Pearson, Ewan R., Dermitzakis, Emmanouil T., Viñuela, Ana, 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, Adragni, Kofi, Allesøe, Rosa Lundbye L., Artati, Anna A., Arumugam, Manimozhiyan, Atabaki-Pasdar, Naeimeh, Baltauss, Tania, Banasik, Karina, Barnett, Anna L., Baum, Patrick, Bell, Jimmy D., Beulens, Joline W., Bianzano, Susanna B., Bizzotto, Roberto, Bonnefond, Amelie, Cabrelli, Louise, Dale, Matilda, Dawed, Adem Y., de Preville, Nathalie, Dekkers, Koen F., Deshmukh, Harshal A., Dings, Christiane, Donnelly, Louise, Dutta, Avirup, Ehrhardt, Beate, Engelbrechtsen, Line, Eriksen, Rebeca, Fan, Yong, Ferrer, Jorge, Fitipaldi, Hugo, Forman, Annemette, Fritsche, Andreas, Froguel, Philippe, Gassenhuber, Johann, Gough, Stephen, Graefe-Mody, Ulrike, Grempler, Rolf, Groeneveld, Lenka, Groop, Leif, Gudmundsdóttir, Valborg, Gupta, Ramneek, Hennige, Anita M.H., Hill, Anita V., Holl, Reinhard W., Hudson, Michelle, Jacobsen, Ulrik Plesner, Jennison, Christopher, Johansen, Joachim, Jonsson, Anna, Karaderi, Tugce, Kaye, Jane, Kennedy, Gwen, Klintenberg, Maria, Kuulasmaa, Teemu, Lehr, Thorsten, Loftus, Heather, Lundgaard, Agnete Troen T., Mazzoni, Gianluca, McRobert, Nicky, McVittie, Ian, Nice, Rachel, Nicolay, Claudia, Nijpels, Giel, Palmer, Colin N., Pedersen, Helle K., Perry, Mandy H., Pomares-Millan, Hugo, Prehn, Cornelia P., Ramisch, Anna, Rasmussen, Simon, Robertson, Neil, Rodriquez, Marianne, Sackett, Peter, Scherer, Nina, Shah, Nisha, Sihinevich, Iryna, Slieker, Roderick C., Sondertoft, Nadja B., Steckel-Hamann, Birgit, Thomas, Melissa K., Thomas, Cecilia Engel E., Thomas, Elizabeth Louise L., Thorand, Barbara, Thorne, Claire E., Tillner, Joachim, Tura, Andrea, Uhlen, Mathias, van Leeuwen, Nienke, van Oort, Sabine, Verkindt, Helene, Vogt, Josef, Wad Sackett, Peter W., Wesolowska-Andersen, Agata, Whitcher, Brandon, White, Margaret W., Adamski, Jerzy, Schwenk, Jochen M., Pearson, Ewan R., Dermitzakis, Emmanouil T., and Viñuela, Ana

Abstract

We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic heterogeneity, where multiple variants regulate a particular molecular phenotype, and pleiotropy, where a single variant associates with multiple molecular phenotypes over multiple genomic regions. The highest proportion of share genetic regulation is detected between gene expression and proteins (66.6%), with a further median shared genetic associations across 49 different tissues of 78.3% and 62.4% between plasma proteins and gene expression. We represent the genetic and molecular associations in networks including 2828 known GWAS variants, showing that GWAS variants are more often connected to gene expression in trans than other molecular phenotypes in the network. Our work provides a roadmap to understanding molecular networks and deriving the underlying mechanism of action of GWAS variants using different molecular phenotypes in an accessible tissue.

Published
2023

50. Supplementary Figures 1-8 from IFN-α and Bortezomib Overcome Bcl-2 and Mcl-1 Overexpression in Melanoma Cells by Stimulating the Extrinsic Pathway of Apoptosis

Author

Lesinski, Gregory B., primary, Raig, Ene T., primary, Guenterberg, Kristan, primary, Brown, Lloyd, primary, Go, Michael R., primary, Shah, Nisha N., primary, Lewis, Adrian, primary, Quimper, Megan, primary, Hade, Erinn, primary, Young, Gregory, primary, Chaudhury, Abhik Ray, primary, Ladner, Katherine J., primary, Guttridge, Denis C., primary, Bouchard, Page, primary, and Carson, William E., primary

Published
2023
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