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3. A PSA SNP associates with cellular function and clinical outcome in men with prostate cancer

Author

Srinivasan, Srilakshmi, Kryza, Thomas, Bock, Nathalie, Tse, Brian W. C., Sokolowski, Kamil A., Janaththani, Panchadsaram, Fernando, Achala, Moya, Leire, Stephens, Carson, Dong, Ying, Röhl, Joan, Alinezhad, Saeid, Vela, Ian, Perry-Keene, Joanna L., Buzacott, Katie, Nica, Robert, Gago-Dominguez, Manuela, Schleutker, Johanna, Maier, Christiane, Muir, Kenneth, Tangen, Catherine M., Gronberg, Henrik, Pashayan, Nora, Albanes, Demetrius, Wolk, Alicja, Stanford, Janet L., Berndt, Sonja I., Mucci, Lorelei A., Koutros, Stella, Cussenot, Olivier, Sorensen, Karina Dalsgaard, Grindedal, Eli Marie, Travis, Ruth C., Haiman, Christopher A., MacInnis, Robert J., Vega, Ana, Wiklund, Fredrik, Neal, David E., Kogevinas, Manolis, Penney, Kathryn L., Nordestgaard, Børge G., Brenner, Hermann, John, Esther M., Gamulin, Marija, Claessens, Frank, Melander, Olle, Dahlin, Anders, Stattin, Pär, Hallmans, Göran, Häggström, Christel, Johansson, Robert, Thysell, Elin, Rönn, Ann-Charlotte, Li, Weiqiang, Brown, Nigel, Dimeski, Goce, Shepherd, Benjamin, Dadaev, Tokhir, Brook, Mark N., Spurdle, Amanda B., Stenman, Ulf-Håkan, Koistinen, Hannu, Kote-Jarai, Zsofia, Klein, Robert J., Lilja, Hans, Ecker, Rupert C., Eeles, Rosalind, Clements, Judith, and Batra, Jyotsna

Published
2024
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4. Outcomes after robot-assisted radical cystectomy with orthotopic neobladder in women

Author

Rautiola, Juhana, Martini, Alberto, Mertens, Laura S, Skokic, Viktor, Di Gianfrancesco, Luca, Bravi, Carlo Andrea, Heinzelbecker, Julia, Mendrek, Mikolaj, Buse, Stephan, Ploussard, Guillaume, John, Hubert, Canda, Abdullah Erdem, Balbay, Mevlana Derya, Edeling, Sebastian, Van Praet, Charles, Leyh-Bannurah, Sami-Ramzi, Mottrie, Alexander, D’Hondt, Frederiek, van der Poel, Hendrik, Berquin, Camille, Dacaestecker, Karel, Gaston, Richard, Wiklund, Peter, and Hosseini, Abolfazl

Published
2024
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5. Cluster effect for SNP–SNP interaction pairs for predicting complex traits

Author

Lin, Hui-Yi, Mazumder, Harun, Sarkar, Indrani, Huang, Po-Yu, Eeles, Rosalind A., Kote-Jarai, Zsofia, Muir, Kenneth R., Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, Neal, David E., Nielsen, Sune F., Nordestgaard, Børge G., Grönberg, Henrik, Wiklund, Fredrik, MacInnis, Robert J., Haiman, Christopher A., Travis, Ruth C., Stanford, Janet L., Kibel, Adam S., Cybulski, Cezary, Khaw, Kay-Tee, Maier, Christiane, Thibodeau, Stephen N., Teixeira, Manuel R., Cannon-Albright, Lisa, Brenner, Hermann, Kaneva, Radka, Pandha, Hardev, and Park, Jong Y.

Published
2024
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7. Induction and maintenance of sequential intravesical gemcitabine/docetaxel for intermediate and high-risk non-muscle invasive bladder cancer with different dosage protocols

Author

Ben-David, Reuben, Tillu, Neeraja, Alerasool, Parissa, Bieber, Christine, Ranti, Daniel, Tolani, Serena, Eisenhauer, Justin, Chung, Rainjade, Lavallée, Etienne, Waingankar, Nikhil, Attalla, Kyrollis, Wiklund, Peter, Mehrazin, Reza, Anderson, Christopher B., and Sfakianos, John P.

Published
2024
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9. Patterns of adoption of different robotic systems at tertiary care institutions in the early dissemination phase: a junior ERUS/YAU working group in robotic surgery study

Author

Bravi, C. A., Turri, Filippo, Dell’Oglio, Paolo, Piramide, Federico, Moschovas, Marcio Covas, De Groote, Ruben, Andras, Iulia, Liakos, Nikolaos, Di Maida, Fabrizio, Lambert, Edward, Wenzel, Mike, Würnschimmel, Christoph, Darlington, Danny, Paciotti, Marco, Jeong, Chang Wook, Pellegrino, Francesco, Basile, Giuseppe, Wiklund, Peter, Mottrie, Alexandre, Breda, Alberto, and Larcher, Alessandro

Published
2024
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11. The Radio & Plasma Wave Investigation (RPWI) for the JUpiter ICy moons Explorer (JUICE)

Author

Wahlund, J.-E., Bergman, J. E. S., Åhlén, L., Puccio, W., Cecconi, B., Kasaba, Y., Müller-Wodarg, I., Rothkaehl, H., Morawski, M., Santolik, O., Soucek, J., Grygorczuk, J., Wisniewski, Ł., Henri, P., Rauch, J. L., Le Duff, O., Retinò, A., Mansour, M., Stverak, S., Laifr, J., Andrews, D., André, M., Benko, I., Berglund, M., Cripps, V., Cully, C., Davidsson, J., Dimmock, A., Edberg, N. J. T., Eriksson, A. I., Fredriksson, J., Gill, R., Gomis, S., Holback, B., Jansson, S.-E., Johansson, F., Johansson, E. P. G., Khotyaintsev, Y., Mårtensson, B., Morooka, M. W., Nilsson, T., Ohlsson, D., Pelikan, D., Richard, L., Shiwa, F., Vigren, E., Wong, H. C., Bonnin, X., Girard, J. N., Grosset, L., Henry, F., Lamy, L., Lebreton, J.-P., Zarka, P., Katoh, Y., Kita, H., Kumamoto, A., Misawa, H., Tsuchiya, F., Galand, M., Barcinski, T., Baran, J., Kowalski, T., Szewczyk, P., Grison, B., Jansky, J., Kolmasova, I., Lan, R., Pisa, D., Taubenschuss, U., Uhlir, L., Bochra, K., Borys, M., Duda, M., Kucinski, T., Ossowski, M., Palma, P., Tokarz, M., Colin, F., Dazzi, P., De Léon, E., Hachemi, T., Millet, A.-L., Randrianboarisson, O., Sene, O., Chust, T., Le Contel, O., Canu, P., Hadid, L., Sahraoui, F., Zouganelis, Y., Alison, D., Ba, N., Jeandet, A., Lebassard, M., Techer, J.-D., Mehrez, F., Varizat, L., Sumant, A. V., Sou, G., Hellinger, P., Travnicek, P., Bylander, L., Giono, G., Ivchenko, N., Kullen, A., Roth, L., Vaivads, A., Tanimoto, K., Mizuno, H., Sawamura, A., Suzuki, T., Namiki, M., Fujishima, S., Asai, K., Shimoyama, T., Fujii, M., Sato, Y., Birch, J., Bakhit, B., Greczynski, G., Gare, P., Landström, S., LeLetty, R., Ryszawa, E., Torralba, I., Trescastro, J. L., Osipenco, S., Wiklund, U., Roos, A., Söderström, J. C., Björneholm, O., Fischer, G., Nyberg, T., Kovi, K. K., Balikhin, M., Yearby, K. H., Holmberg, M., Jackman, C. M., Louis, C. K., Rhouni, A., Leray, V., Geyskens, N., Berthod, C., Lemaire, B., Clémencon, A., Wattieaux, G., André, N., Garnier, P., Génot, V., Louarn, P., Marchaudon, A., Modolo, R., Baskevitch, C.-A., Hess, L. G., Leclercq, L., Saur, J., Kimura, T., Kojima, H., Yagitani, S., and Miyoshi, Y.

Published
2025
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17. Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score

Author

Huynh-Le, Minh-Phuong, Karunamuni, Roshan, Fan, Chun Chieh, Asona, Lui, Thompson, Wesley K, Martinez, Maria Elena, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth R, Lophatananon, Artitaya, Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, Grönberg, Henrik, Neal, David E, Nordestgaard, Børge G, Tangen, Catherine M, MacInnis, Robert J, Wolk, Alicja, Albanes, Demetrius, Haiman, Christopher A, Travis, Ruth C, Blot, William J, Stanford, Janet L, Mucci, Lorelei A, West, Catharine ML, Nielsen, Sune F, Kibel, Adam S, Cussenot, Olivier, Berndt, Sonja I, Koutros, Stella, Sørensen, Karina Dalsgaard, Cybulski, Cezary, Grindedal, Eli Marie, Menegaux, Florence, Park, Jong Y, Ingles, Sue A, Maier, Christiane, Hamilton, Robert J, Rosenstein, Barry S, Lu, Yong-Jie, Watya, Stephen, Vega, Ana, Kogevinas, Manolis, Wiklund, Fredrik, Penney, Kathryn L, Huff, Chad D, Teixeira, Manuel R, Multigner, Luc, Leach, Robin J, Brenner, Hermann, John, Esther M, Kaneva, Radka, Logothetis, Christopher J, Neuhausen, Susan L, De Ruyck, Kim, Ost, Piet, Razack, Azad, Newcomb, Lisa F, Fowke, Jay H, Gamulin, Marija, Abraham, Aswin, Claessens, Frank, Castelao, Jose Esteban, Townsend, Paul A, Crawford, Dana C, Petrovics, Gyorgy, van Schaik, Ron HN, Parent, Marie-Élise, Hu, Jennifer J, Zheng, Wei, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, and Seibert, Tyler M

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Prevention, Cancer, Health Disparities, Prostate Cancer, Aging, Genetics, Precision Medicine, Urologic Diseases, Minority Health, Good Health and Well Being, Male, Humans, Prostate-Specific Antigen, Prostatic Neoplasms, Early Detection of Cancer, Polymorphism, Single Nucleotide, Risk Factors, Risk Assessment, Genetic Predisposition to Disease, UKGPCS collaborators, APCB, NC-LA PCaP Investigators, IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, Profile Study Steering Committee, PRACTICAL Consortium, Urology & Nephrology, Clinical sciences, Oncology and carcinogenesis
Abstract

BackgroundProstate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets.MethodsIn total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. The PHS model was evaluated in four testing datasets: African ancestry, Asian ancestry, and two of European Ancestry-the Cohort of Swedish Men (COSM) and the ProtecT study. Hazard ratios (HRs) were estimated to compare men with high versus low PHS for association with clinically significant, with any, and with fatal prostate cancer. The impact of genetic risk stratification on the positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was also measured.ResultsThe final model (PHS290) had 290 SNPs with non-zero coefficients. Comparing, for example, the highest and lowest quintiles of PHS290, the hazard ratios (HRs) for clinically significant prostate cancer were 13.73 [95% CI: 12.43-15.16] in ProtecT, 7.07 [6.58-7.60] in African ancestry, 10.31 [9.58-11.11] in Asian ancestry, and 11.18 [10.34-12.09] in COSM. Similar results were seen for association with any and fatal prostate cancer. Without PHS stratification, the PPV of PSA testing for clinically significant prostate cancer in ProtecT was 0.12 (0.11-0.14). For the top 20% and top 5% of PHS290, the PPV of PSA testing was 0.19 (0.15-0.22) and 0.26 (0.19-0.33), respectively.ConclusionsWe demonstrate better genetic risk stratification for clinically significant prostate cancer than prior versions of PHS in multi-ancestry datasets. This is promising for implementing precision-medicine approaches to prostate cancer screening decisions in diverse populations.

Published
2022

20. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants

Author

Wang, Anqi, Shen, Jiayi, Rodriguez, Alex A., Saunders, Edward J., Chen, Fei, Janivara, Rohini, Darst, Burcu F., Sheng, Xin, Xu, Yili, Chou, Alisha J., Benlloch, Sara, Dadaev, Tokhir, Brook, Mark N., Plym, Anna, Sahimi, Ali, Hoffman, Thomas J., Takahashi, Atushi, Matsuda, Koichi, Momozawa, Yukihide, Fujita, Masashi, Laisk, Triin, Figuerêdo, Jéssica, Muir, Kenneth, Ito, Shuji, Liu, Xiaoxi, Uchio, Yuji, Kubo, Michiaki, Kamatani, Yoichiro, Lophatananon, Artitaya, Wan, Peggy, Andrews, Caroline, Lori, Adriana, Choudhury, Parichoy P., Schleutker, Johanna, Tammela, Teuvo L. J., Sipeky, Csilla, Auvinen, Anssi, Giles, Graham G., Southey, Melissa C., MacInnis, Robert J., Cybulski, Cezary, Wokolorczyk, Dominika, Lubinski, Jan, Rentsch, Christopher T., Cho, Kelly, Mcmahon, Benjamin H., Neal, David E., Donovan, Jenny L., Hamdy, Freddie C., Martin, Richard M., Nordestgaard, Borge G., Nielsen, Sune F., Weischer, Maren, Bojesen, Stig E., Røder, Andreas, Stroomberg, Hein V., Batra, Jyotsna, Chambers, Suzanne, Horvath, Lisa, Clements, Judith A., Tilly, Wayne, Risbridger, Gail P., Gronberg, Henrik, Aly, Markus, Szulkin, Robert, Eklund, Martin, Nordstrom, Tobias, Pashayan, Nora, Dunning, Alison M., Ghoussaini, Maya, Travis, Ruth C., Key, Tim J., Riboli, Elio, Park, Jong Y., Sellers, Thomas A., Lin, Hui-Yi, Albanes, Demetrius, Weinstein, Stephanie, Cook, Michael B., Mucci, Lorelei A., Giovannucci, Edward, Lindstrom, Sara, Kraft, Peter, Hunter, David J., Penney, Kathryn L., Turman, Constance, Tangen, Catherine M., Goodman, Phyllis J., Thompson, Jr., Ian M., Hamilton, Robert J., Fleshner, Neil E., Finelli, Antonio, Parent, Marie-Élise, Stanford, Janet L., Ostrander, Elaine A., Koutros, Stella, Beane Freeman, Laura E., Stampfer, Meir, Wolk, Alicja, Håkansson, Niclas, Andriole, Gerald L., Hoover, Robert N., Machiela, Mitchell J., Sørensen, Karina Dalsgaard, Borre, Michael, Blot, William J., Zheng, Wei, Yeboah, Edward D., Mensah, James E., Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Wu, Yudong, Zhao, Shan-Chao, Sun, Zan, Thibodeau, Stephen N., McDonnell, Shannon K., Schaid, Daniel J., West, Catharine M. L., Barnett, Gill, Maier, Christiane, Schnoeller, Thomas, Luedeke, Manuel, Kibel, Adam S., Drake, Bettina F., Cussenot, Olivier, Cancel-Tassin, Geraldine, Menegaux, Florence, Truong, Thérèse, Koudou, Yves Akoli, John, Esther M., Grindedal, Eli Marie, Maehle, Lovise, Khaw, Kay-Tee, Ingles, Sue A., Stern, Mariana C., Vega, Ana, Gómez-Caamaño, Antonio, Fachal, Laura, Rosenstein, Barry S., Kerns, Sarah L., Ostrer, Harry, Teixeira, Manuel R., Paulo, Paula, Brandão, Andreia, Watya, Stephen, Lubwama, Alexander, Bensen, Jeannette T., Butler, Ebonee N., Mohler, James L., Taylor, Jack A., Kogevinas, Manolis, Dierssen-Sotos, Trinidad, Castaño-Vinyals, Gemma, Cannon-Albright, Lisa, Teerlink, Craig C., Huff, Chad D., Pilie, Patrick, Yu, Yao, Bohlender, Ryan J., Gu, Jian, Strom, Sara S., Multigner, Luc, Blanchet, Pascal, Brureau, Laurent, Kaneva, Radka, Slavov, Chavdar, Mitev, Vanio, Leach, Robin J., Brenner, Hermann, Chen, Xuechen, Holleczek, Bernd, Schöttker, Ben, Klein, Eric A., Hsing, Ann W., Kittles, Rick A., Murphy, Adam B., Logothetis, Christopher J., Kim, Jeri, Neuhausen, Susan L., Steele, Linda, Ding, Yuan Chun, Isaacs, William B., Nemesure, Barbara, Hennis, Anselm J. M., Carpten, John, Pandha, Hardev, Michael, Agnieszka, De Ruyck, Kim, De Meerleer, Gert, Ost, Piet, Xu, Jianfeng, Razack, Azad, Lim, Jasmine, Teo, Soo-Hwang, Newcomb, Lisa F., Lin, Daniel W., Fowke, Jay H., Neslund-Dudas, Christine M., Rybicki, Benjamin A., Gamulin, Marija, Lessel, Davor, Kulis, Tomislav, Usmani, Nawaid, Abraham, Aswin, Singhal, Sandeep, Parliament, Matthew, Claessens, Frank, Joniau, Steven, Van den Broeck, Thomas, Gago-Dominguez, Manuela, Castelao, Jose Esteban, Martinez, Maria Elena, Larkin, Samantha, Townsend, Paul A., Aukim-Hastie, Claire, Bush, William S., Aldrich, Melinda C., Crawford, Dana C., Srivastava, Shiv, Cullen, Jennifer, Petrovics, Gyorgy, Casey, Graham, Wang, Ying, Tettey, Yao, Lachance, Joseph, Tang, Wei, Biritwum, Richard B., Adjei, Andrew A., Tay, Evelyn, Truelove, Ann, Niwa, Shelley, Yamoah, Kosj, Govindasami, Koveela, Chokkalingam, Anand P., Keaton, Jacob M., Hellwege, Jacklyn N., Clark, Peter E., Jalloh, Mohamed, Gueye, Serigne M., Niang, Lamine, Ogunbiyi, Olufemi, Shittu, Olayiwola, Amodu, Olukemi, Adebiyi, Akindele O., Aisuodionoe-Shadrach, Oseremen I., Ajibola, Hafees O., Jamda, Mustapha A., Oluwole, Olabode P., Nwegbu, Maxwell, Adusei, Ben, Mante, Sunny, Darkwa-Abrahams, Afua, Diop, Halimatou, Gundell, Susan M., Roobol, Monique J., Jenster, Guido, van Schaik, Ron H. N., Hu, Jennifer J., Sanderson, Maureen, Kachuri, Linda, Varma, Rohit, McKean-Cowdin, Roberta, Torres, Mina, Preuss, Michael H., Loos, Ruth J. F., Zawistowski, Matthew, Zöllner, Sebastian, Lu, Zeyun, Van Den Eeden, Stephen K., Easton, Douglas F., Ambs, Stefan, Edwards, Todd L., Mägi, Reedik, Rebbeck, Timothy R., Fritsche, Lars, Chanock, Stephen J., Berndt, Sonja I., Wiklund, Fredrik, Nakagawa, Hidewaki, Witte, John S., Gaziano, J. Michael, Justice, Amy C., Mancuso, Nick, Terao, Chikashi, Eeles, Rosalind A., Kote-Jarai, Zsofia, Madduri, Ravi K., Conti, David V., and Haiman, Christopher A.

Published
2023
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21. In and against Global Injustice: Decolonising Popular Education on Global Development

Author

Österborg Wiklund, Sofia

Abstract

This article builds on a classroom study and interviews with facilitators and students on a travelling Folk High School course on global justice and development, an education that raises awareness about colonial history and contemporality. The study explores how the concept of being 'in and against' presents itself in the narratives of the research participants, and what those narratives can say about institutional and global conditions for transnational popular educational engagement. The results mirror the ambiguities of criticising the global, structural, and institutional conditions, while also relying on the same prerequisites, to conduct the course. It shows how working in and against the classroom, as expressed from the different perspectives of the students and the facilitators, entails countering both global and institutional material orders as well as prevailing hegemonic knowledge, and working in and against a gendered, classed, and racialized classroom.

Published
2023
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22. Defining and Implementing a Smart Working Environment for Employee Sustainability: Action Research for Organisational Development and Learning

Author

Wiklund-Engblom, Annika, Polo, Federica, Kullbäck, Caroline, and Asplund, Staffan

Abstract

Purpose: The purpose of this study consisted of an organisational development intervention in a growing small and medium-sized enterprises (SME) where the top management's objective was to become an attractive workplace for the next generation of employees. The central problem is how to develop a smart working environment (SWE) based on the needs of this target group. The aim is both practical and theoretical. Design/methodology/approach: The action research (AR) approach was used as a frame for the organisational learning process. The problem identification, targets and activities were developed in an iterative process together with the management team and employees. Starting from the main problem, a methodological plan was outlined for the intervention, including several instruments for collecting both qualitative and quantitative data. AR is an emergent process in which data, researchers and participants are equally contributing in deciding on the next steps to be taken. Findings: The theoretical findings pertain to the definition of what an SWE is in this specific context and how it evolved during the intervention period. It is identified as expansive learning of the concept, which is illustrated through the iterative phases allowing for the expansion of understanding and implementing new ways of being, doing and relating in the organisation. Research limitations/implications: The results are based on a limited and contextually specific sample and are thus descriptive in relation to the organisation subjected to study. Further research is needed to see how the findings are transferable to other contexts. Practical implications: This study highlights how participative approaches and managerial sensitivity to employees' needs are valuable for defining and implementing an SWE and how this approach can improve organisational dynamics and contribute to organisational learning. Originality/value: The study gives insight into factors that the new generation of employees finds most important at work. While prior research on SWE mostly focuses on efficiency and effectiveness framed by digitalisation and workspace, the present findings emphasise the importance of working with the socioemotional dimension at work for ensuring employee sustainability.

Published
2023
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30. Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer.

Author

Karunamuni, Roshan A, Huynh-Le, Minh-Phuong, Fan, Chun C, Thompson, Wesley, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth, Lophatananon, Artitaya, UKGPCS collaborators, Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, APCB BioResource (Australian Prostate Cancer BioResource), Grönberg, Henrik, Walsh, Eleanor I, Turner, Emma L, Lane, Athene, Martin, Richard M, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Nordestgaard, Børge G, Tangen, Catherine M, MacInnis, Robert J, Wolk, Alicja, Albanes, Demetrius, Haiman, Christopher A, Travis, Ruth C, Stanford, Janet L, Mucci, Lorelei A, West, Catharine ML, Nielsen, Sune F, Kibel, Adam S, Wiklund, Fredrik, Cussenot, Olivier, Berndt, Sonja I, Koutros, Stella, Sørensen, Karina Dalsgaard, Cybulski, Cezary, Grindedal, Eli Marie, Park, Jong Y, Ingles, Sue A, Maier, Christiane, Hamilton, Robert J, Rosenstein, Barry S, Vega, Ana, IMPACT Study Steering Committee and Collaborators, Kogevinas, Manolis, Penney, Kathryn L, Teixeira, Manuel R, Brenner, Hermann, John, Esther M, Kaneva, Radka, Logothetis, Christopher J, Neuhausen, Susan L, Razack, Azad, Newcomb, Lisa F, Canary PASS Investigators, Gamulin, Marija, Usmani, Nawaid, Claessens, Frank, Gago-Dominguez, Manuela, Townsend, Paul A, Roobol, Monique J, Zheng, Wei, Profile Study Steering Committee, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, Seibert, Tyler M, and PRACTICAL Consortium

Subjects
UKGPCS collaborators, APCB BioResource, IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, Profile Study Steering Committee, PRACTICAL Consortium, Prevention, Urologic Diseases, Cancer, Prostate Cancer, Aging, Urology & Nephrology, Oncology and Carcinogenesis
Abstract

BackgroundPolygenic hazard scores (PHS) can identify individuals with increased risk of prostate cancer. We estimated the benefit of additional SNPs on performance of a previously validated PHS (PHS46).Materials and method180 SNPs, shown to be previously associated with prostate cancer, were used to develop a PHS model in men with European ancestry. A machine-learning approach, LASSO-regularized Cox regression, was used to select SNPs and to estimate their coefficients in the training set (75,596 men). Performance of the resulting model was evaluated in the testing/validation set (6,411 men) with two metrics: (1) hazard ratios (HRs) and (2) positive predictive value (PPV) of prostate-specific antigen (PSA) testing. HRs were estimated between individuals with PHS in the top 5% to those in the middle 40% (HR95/50), top 20% to bottom 20% (HR80/20), and bottom 20% to middle 40% (HR20/50). PPV was calculated for the top 20% (PPV80) and top 5% (PPV95) of PHS as the fraction of individuals with elevated PSA that were diagnosed with clinically significant prostate cancer on biopsy.Results166 SNPs had non-zero coefficients in the Cox model (PHS166). All HR metrics showed significant improvements for PHS166 compared to PHS46: HR95/50 increased from 3.72 to 5.09, HR80/20 increased from 6.12 to 9.45, and HR20/50 decreased from 0.41 to 0.34. By contrast, no significant differences were observed in PPV of PSA testing for clinically significant prostate cancer.ConclusionsIncorporating 120 additional SNPs (PHS166 vs PHS46) significantly improved HRs for prostate cancer, while PPV of PSA testing remained the same.

Published
2021

31. Two-stage Study of Familial Prostate Cancer by Whole-exome Sequencing and Custom Capture Identifies 10 Novel Genes Associated with the Risk of Prostate Cancer.

Author

Schaid, Daniel, McDonnell, Shannon, FitzGerald, Liesel, DeRycke, Lissa, Fogarty, Zachary, Giles, Graham, MacInnis, Robert, Southey, Melissa, Nguyen-Dumont, Tu, Cancel-Tassin, Geraldine, Cussenot, Oliver, Whittemore, Alice, Sieh, Weiva, Hsieh, Chih-Lin, Stanford, Janet, Schleutker, Johanna, Cropp, Cheryl, Carpten, John, Hoegel, Josef, Eeles, Rosalind, Kote-Jarai, Zsofia, Ackerman, Michael, Klein, Christopher, Mandal, Diptasri, Cooney, Kathleen, Bailey-Wilson, Joan, Helfand, Brian, Catalona, William, Wiklund, Fredrick, Riska, Shaun, Bahetti, Saurabh, Larson, Melissa, Cannon Albright, Lisa, Teerlink, Craig, Xu, Jianfeng, Isaacs, William, Ostrander, Elaine, Thibodeau, Stephen, and Ioannidis, Nilah

Subjects
Custom-capture sequencing, Familial prostate cancer, Genetic risk variants, Whole-exome sequencing, Genes, BRCA2, Guanine Nucleotide Exchange Factors, Humans, Male, Neoplasm Grading, Prostatic Neoplasms, Protein Serine-Threonine Kinases, Trypsin, Exome Sequencing
Abstract

BACKGROUND: Family history of prostate cancer (PCa) is a well-known risk factor, and both common and rare genetic variants are associated with the disease. OBJECTIVE: To detect new genetic variants associated with PCa, capitalizing on the role of family history and more aggressive PCa. DESIGN, SETTING, AND PARTICIPANTS: A two-stage design was used. In stage one, whole-exome sequencing was used to identify potential risk alleles among affected men with a strong family history of disease or with more aggressive disease (491 cases and 429 controls). Aggressive disease was based on a sum of scores for Gleason score, node status, metastasis, tumor stage, prostate-specific antigen at diagnosis, systemic recurrence, and time to PCa death. Genes identified in stage one were screened in stage two using a custom-capture design in an independent set of 2917 cases and 1899 controls. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Frequencies of genetic variants (singly or jointly in a gene) were compared between cases and controls. RESULTS AND LIMITATIONS: Eleven genes previously reported to be associated with PCa were detected (ATM, BRCA2, HOXB13, FAM111A, EMSY, HNF1B, KLK3, MSMB, PCAT1, PRSS3, and TERT), as well as an additional 10 novel genes (PABPC1, QK1, FAM114A1, MUC6, MYCBP2, RAPGEF4, RNASEH2B, ULK4, XPO7, and THAP3). Of these 10 novel genes, all but PABPC1 and ULK4 were primarily associated with the risk of aggressive PCa. CONCLUSIONS: Our approach demonstrates the advantage of gene sequencing in the search for genetic variants associated with PCa and the benefits of sampling patients with a strong family history of disease or an aggressive form of disease. PATIENT SUMMARY: Multiple genes are associated with prostate cancer (PCa) among men with a strong family history of this disease or among men with an aggressive form of PCa.

Published
2021

32. Polygenic hazard score is associated with prostate cancer in multi-ethnic populations.

Author

Huynh-Le, Minh-Phuong, Fan, Chun Chieh, Karunamuni, Roshan, Thompson, Wesley K, Martinez, Maria Elena, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth, Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, Grönberg, Henrik, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Nielsen, Sune F, Nordestgaard, Børge G, Wiklund, Fredrik, Tangen, Catherine M, Giles, Graham G, Wolk, Alicja, Albanes, Demetrius, Travis, Ruth C, Blot, William J, Zheng, Wei, Sanderson, Maureen, Stanford, Janet L, Mucci, Lorelei A, West, Catharine ML, Kibel, Adam S, Cussenot, Olivier, Berndt, Sonja I, Koutros, Stella, Sørensen, Karina Dalsgaard, Cybulski, Cezary, Grindedal, Eli Marie, Menegaux, Florence, Khaw, Kay-Tee, Park, Jong Y, Ingles, Sue A, Maier, Christiane, Hamilton, Robert J, Thibodeau, Stephen N, Rosenstein, Barry S, Lu, Yong-Jie, Watya, Stephen, Vega, Ana, Kogevinas, Manolis, Penney, Kathryn L, Huff, Chad, Teixeira, Manuel R, Multigner, Luc, Leach, Robin J, Cannon-Albright, Lisa, Brenner, Hermann, John, Esther M, Kaneva, Radka, Logothetis, Christopher J, Neuhausen, Susan L, De Ruyck, Kim, Pandha, Hardev, Razack, Azad, Newcomb, Lisa F, Fowke, Jay H, Gamulin, Marija, Usmani, Nawaid, Claessens, Frank, Gago-Dominguez, Manuela, Townsend, Paul A, Bush, William S, Roobol, Monique J, Parent, Marie-Élise, Hu, Jennifer J, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, Seibert, Tyler M, UKGPCS collaborators, APCB (Australian Prostate Cancer BioResource), NC-LA PCaP Investigators, IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, Profile Study Steering Committee, and PRACTICAL Consortium

Subjects
UKGPCS collaborators, APCB, NC-LA PCaP Investigators, IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, Profile Study Steering Committee, PRACTICAL Consortium, Humans, Prostatic Neoplasms, Neoplasm Invasiveness, Multivariate Analysis, Multifactorial Inheritance, Aged, Middle Aged, Ethnic Groups, Male, Self Report, Aging, Urologic Diseases, Cancer, Prostate Cancer
Abstract

Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS2 (PHS1, adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS2 is associated with age at diagnosis of any and aggressive (Gleason score ≥ 7, stage T3-T4, PSA ≥ 10 ng/mL, or nodal/distant metastasis) cancer and prostate-cancer-specific death. Associations with cancer are significant within European (n = 71,856), Asian (n = 2,382), and African (n = 6,253) genetic ancestries (p

Published
2021

34. Evaluating the Effect of Rich Vocabulary Instruction and Retrieval Practice on the Classroom Vocabulary Skills of Children with (Developmental) Language Disorder

Author

Levlin, Maria, Wiklund-Hörnqvist, Carola, Sandgren, Olof, Karlsson, Sara, and Jonsson, Bert

Abstract

Purpose: Learning new vocabulary has been identified as a challenge for students with (developmental) language disorder ((D)LD). In this study, we evaluate the effects of two active learning methods, (a) retrieval practice (RP) and (b) rich vocabulary instruction (RVI), in a group of students with (D)LD in secondary school. Method: A quasi-experimental counterbalanced within-subject design was used to compare and evaluate the effect of RP and RVI on learning Tier 2 vocabulary, with target and control words as dependent measures. Eleven students with (D) LD (M[subscript age] = 14.9 years) attending a language unit participated. RP and RVI were implemented in regular classroom activities during 16 lessons (eight lessons/instructional condition). Learning was assessed by comparing performance on a pretest session 1-2 weeks prior, with posttest performance 1 week after each instructional condition. Results: The learning gain for RP was superior to that for RVI, both with respect to the Bayesian probabilistic estimations for target words relative to control words and in direct comparison with RVI. Only weak evidence was found for RVI with respect to the Bayesian probabilistic estimations for target words relative to control words. Conclusions: All participants showed positive learning gains following RP, whereas the outcome for RVI was more diverse. This initial work suggests that RP promotes larger learning gains relative to RVI and promotes learning across language profiles. This study extends previous studies by exploring the implementation of RP in regular classroom activities and by using more complex to-be-learned material (Tier 2 words).

Published
2022
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35. The effect of sample size on polygenic hazard models for prostate cancer

Author

Karunamuni, Roshan A, Huynh-Le, Minh-Phuong, Fan, Chun C, Eeles, Rosalind A, Easton, Douglas F, Kote-Jarai, ZSofia, Amin Al Olama, Ali, Benlloch Garcia, Sara, Muir, Kenneth, Gronberg, Henrik, Wiklund, Fredrik, Aly, Markus, Schleutker, Johanna, Sipeky, Csilla, Tammela, Teuvo LJ, Nordestgaard, Børge G, Key, Tim J, Travis, Ruth C, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Pharoah, Paul, Pashayan, Nora, Khaw, Kay-Tee, Thibodeau, Stephen N, McDonnell, Shannon K, Schaid, Daniel J, Maier, Christiane, Vogel, Walther, Luedeke, Manuel, Herkommer, Kathleen, Kibel, Adam S, Cybulski, Cezary, Wokolorczyk, Dominika, Kluzniak, Wojciech, Cannon-Albright, Lisa, Brenner, Hermann, Schöttker, Ben, Holleczek, Bernd, Park, Jong Y, Sellers, Thomas A, Lin, Hui-Yi, Slavov, Chavdar, Kaneva, Radka, Mitev, Vanio, Batra, Jyotsna, Clements, Judith A, Spurdle, Amanda, Teixeira, Manuel R, Paulo, Paula, Maia, Sofia, Pandha, Hardev, Michael, Agnieszka, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, and Seibert, Tyler M

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Urologic Diseases, Prostate Cancer, Aging, Cancer, Clinical Trials as Topic, Genome-Wide Association Study, Humans, Male, Models, Genetic, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Proportional Hazards Models, Prostatic Neoplasms, Sample Size, Australian Prostate Cancer BioResource, PRACTICAL Consortium, Genetics, Clinical Sciences, Genetics & Heredity, Clinical sciences
Abstract

We determined the effect of sample size on performance of polygenic hazard score (PHS) models in prostate cancer. Age and genotypes were obtained for 40,861 men from the PRACTICAL consortium. The dataset included 201,590 SNPs per subject, and was split into training and testing sets. Established-SNP models considered 65 SNPs that had been previously associated with prostate cancer. Discovery-SNP models used stepwise selection to identify new SNPs. The performance of each PHS model was calculated for random sizes of the training set. The performance of a representative Established-SNP model was estimated for random sizes of the testing set. Mean HR98/50 (hazard ratio of top 2% to average in test set) of the Established-SNP model increased from 1.73 [95% CI: 1.69-1.77] to 2.41 [2.40-2.43] when the number of training samples was increased from 1 thousand to 30 thousand. Corresponding HR98/50 of the Discovery-SNP model increased from 1.05 [0.93-1.18] to 2.19 [2.16-2.23]. HR98/50 of a representative Established-SNP model using testing set sample sizes of 0.6 thousand and 6 thousand observations were 1.78 [1.70-1.85] and 1.73 [1.71-1.76], respectively. We estimate that a study population of 20 thousand men is required to develop Discovery-SNP PHS models while 10 thousand men should be sufficient for Established-SNP models.

Published
2020

36. A Genetic Risk Score to Personalize Prostate Cancer Screening, Applied to Population Data

Author

Huynh-Le, Minh-Phuong, Fan, Chun Chieh, Karunamuni, Roshan, Walsh, Eleanor I, Turner, Emma L, Lane, J Athene, Martin, Richard M, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Parsons, J Kellogg, Eeles, Rosalind A, Easton, Douglas F, Kote-Jarai, Zsofia, Al Olama, Ali Amin, Garcia, Sara Benlloch, Muir, Kenneth, Grönberg, Henrik, Wiklund, Fredrik, Aly, Markus, Schleutker, Johanna, Sipeky, Csilla, Tammela, Teuvo LJ, Nordestgaard, Børge Grønne, Key, Timothy J, Travis, Ruth C, Pharoah, Paul DP, Pashayan, Nora, Khaw, Kay-Tee, Thibodeau, Stephen N, McDonnell, Shannon K, Schaid, Daniel J, Maier, Christiane, Vogel, Walther, Luedeke, Manuel, Herkommer, Kathleen, Kibel, Adam S, Cybulski, Cezary, Wokolorczyk, Dominika, Kluzniak, Wojciech, Cannon-Albright, Lisa A, Brenner, Hermann, Schöttker, Ben, Holleczek, Bernd, Park, Jong Y, Sellers, Thomas A, Lin, Hui-Yi, Slavov, Chavdar Kroumov, Kaneva, Radka P, Mitev, Vanio I, Batra, Jyotsna, Clements, Judith A, Spurdle, Amanda B, BioResource, for the Australian Prostate Cancer, Teixeira, Manuel R, Paulo, Paula, Maia, Sofia, Pandha, Hardev, Michael, Agnieszka, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, Seibert, Tyler M, and Consortium, for the PRACTICAL

Subjects
Biomedical and Clinical Sciences, Health Sciences, Clinical Sciences, Oncology and Carcinogenesis, Urologic Diseases, Prostate Cancer, Cancer, Aging, Prevention, 4.4 Population screening, Good Health and Well Being, Aged, Early Detection of Cancer, Humans, Male, Middle Aged, Neoplasm Grading, Population Control, Prostatic Neoplasms, Australian Prostate Cancer BioResource, PRACTICAL Consortium, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundA polygenic hazard score (PHS), the weighted sum of 54 SNP genotypes, was previously validated for association with clinically significant prostate cancer and for improved prostate cancer screening accuracy. Here, we assess the potential impact of PHS-informed screening.MethodsUnited Kingdom population incidence data (Cancer Research United Kingdom) and data from the Cluster Randomized Trial of PSA Testing for Prostate Cancer were combined to estimate age-specific clinically significant prostate cancer incidence (Gleason score ≥7, stage T3-T4, PSA ≥10, or nodal/distant metastases). Using HRs estimated from the ProtecT prostate cancer trial, age-specific incidence rates were calculated for various PHS risk percentiles. Risk-equivalent age, when someone with a given PHS percentile has prostate cancer risk equivalent to an average 50-year-old man (50-year-standard risk), was derived from PHS and incidence data. Positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was calculated using PHS-adjusted age groups.ResultsThe expected age at diagnosis of clinically significant prostate cancer differs by 19 years between the 1st and 99th PHS percentiles: men with PHS in the 1st and 99th percentiles reach the 50-year-standard risk level at ages 60 and 41, respectively. PPV of PSA was higher for men with higher PHS-adjusted age.ConclusionsPHS provides individualized estimates of risk-equivalent age for clinically significant prostate cancer. Screening initiation could be adjusted by a man's PHS.ImpactPersonalized genetic risk assessments could inform prostate cancer screening decisions.

Published
2020

37. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.

Author

Zhang, Yan Dora, Hurson, Amber N, Zhang, Haoyu, Choudhury, Parichoy Pal, Easton, Douglas F, Milne, Roger L, Simard, Jacques, Hall, Per, Michailidou, Kyriaki, Dennis, Joe, Schmidt, Marjanka K, Chang-Claude, Jenny, Gharahkhani, Puya, Whiteman, David, Campbell, Peter T, Hoffmeister, Michael, Jenkins, Mark, Peters, Ulrike, Hsu, Li, Gruber, Stephen B, Casey, Graham, Schmit, Stephanie L, O'Mara, Tracy A, Spurdle, Amanda B, Thompson, Deborah J, Tomlinson, Ian, De Vivo, Immaculata, Landi, Maria Teresa, Law, Matthew H, Iles, Mark M, Demenais, Florence, Kumar, Rajiv, MacGregor, Stuart, Bishop, D Timothy, Ward, Sarah V, Bondy, Melissa L, Houlston, Richard, Wiencke, John K, Melin, Beatrice, Barnholtz-Sloan, Jill, Kinnersley, Ben, Wrensch, Margaret R, Amos, Christopher I, Hung, Rayjean J, Brennan, Paul, McKay, James, Caporaso, Neil E, Berndt, Sonja I, Birmann, Brenda M, Camp, Nicola J, Kraft, Peter, Rothman, Nathaniel, Slager, Susan L, Berchuck, Andrew, Pharoah, Paul DP, Sellers, Thomas A, Gayther, Simon A, Pearce, Celeste L, Goode, Ellen L, Schildkraut, Joellen M, Moysich, Kirsten B, Amundadottir, Laufey T, Jacobs, Eric J, Klein, Alison P, Petersen, Gloria M, Risch, Harvey A, Stolzenberg-Solomon, Rachel Z, Wolpin, Brian M, Li, Donghui, Eeles, Rosalind A, Haiman, Christopher A, Kote-Jarai, Zsofia, Schumacher, Fredrick R, Al Olama, Ali Amin, Purdue, Mark P, Scelo, Ghislaine, Dalgaard, Marlene D, Greene, Mark H, Grotmol, Tom, Kanetsky, Peter A, McGlynn, Katherine A, Nathanson, Katherine L, Turnbull, Clare, Wiklund, Fredrik, Breast Cancer Association Consortium (BCAC), Barrett’s and Esophageal Adenocarcinoma Consortium (BEACON), Colon Cancer Family Registry (CCFR), Transdisciplinary Studies of Genetic Variation in Colorectal Cancer (CORECT), Endometrial Cancer Association Consortium (ECAC), Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), Melanoma Genetics Consortium (GenoMEL), Glioma International Case-Control Study (GICC), International Lung Cancer Consortium (ILCCO), Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium, International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies (InterLymph), Ovarian Cancer Association Consortium (OCAC), Oral Cancer GWAS, Pancreatic Cancer Case-Control Consortium (PanC4), Pancreatic Cancer Cohort Consortium (PanScan), and Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL)

Subjects
Breast Cancer Association Consortium, Barrett’s and Esophageal Adenocarcinoma Consortium, Colon Cancer Family Registry, Transdisciplinary Studies of Genetic Variation in Colorectal Cancer, Endometrial Cancer Association Consortium, Genetics and Epidemiology of Colorectal Cancer Consortium, Melanoma Genetics Consortium, Glioma International Case-Control Study, International Lung Cancer Consortium, Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium, International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies, Ovarian Cancer Association Consortium, Oral Cancer GWAS, Pancreatic Cancer Case-Control Consortium, Pancreatic Cancer Cohort Consortium, Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome, Renal Cancer GWAS, Testicular Cancer Consortium, Animals, Humans, Neoplasms, Genetic Predisposition to Disease, Incidence, Risk Assessment, Risk Factors, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Models, Genetic, Female, Male, Genome-Wide Association Study, Human Genome, Prevention, Cancer, Prostate Cancer, Genetics, Urologic Diseases, 2.1 Biological and endogenous factors
Abstract

Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of European ancestry across fourteen cancer sites to estimate the number of common susceptibility variants (polygenicity) and underlying effect-size distribution. All cancers show a high degree of polygenicity, involving at a minimum of thousands of loci. We project that sample sizes required to explain 80% of GWAS heritability vary from 60,000 cases for testicular to over 1,000,000 cases for lung cancer. The maximum relative risk achievable for subjects at the 99th risk percentile of underlying polygenic risk scores (PRS), compared to average risk, ranges from 12 for testicular to 2.5 for ovarian cancer. We show that PRS have potential for risk stratification for cancers of breast, colon and prostate, but less so for others because of modest heritability and lower incidence.

Published
2020

38. When to order genomic tests: development and external validation of a model to predict high-risk prostate cancer at the genotypic level

Author

Falagario, Ugo Giovanni, Chakravarty, Dimple, Martini, Alberto, Shahait, Mohammed, El-Fahmawi, Ayah, Jambor, Ivan, Lantz, Anna, Grannas, David, Ratnani, Parita, Parekh, Sneha, Lundon, Dara, Haines, Kenneth, Cormio, Luigi, Carrieri, Giuseppe, Kyprianou, Natasha, Kattan, Michael W., Klein, Eric A., Wiklund, Peter, Lee, David I., and Tewari, Ash

Published
2023
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40. Comparison of Disfluent and Ungrammatical Speech of Preadolescents with and without ASD

Author

Wiklund, Mari and Laakso, Minna

Abstract

This paper analyses disfluencies and ungrammatical expressions in the speech of 11-13-year-old Finnish-speaking boys with ASD (N = 5) and with neurotypical development (N = 6). The ASD data were from authentic group therapy sessions and neurotypical data from teacher-led group discussions. The proportion of disfluencies and ungrammatical expressions was greater in the speech of participants with ASD (26.4%) than in the control group (15.5%). Furthermore, a qualitative difference was noted: The ASD group produced long, complex disfluent turns with word searches, self-repairs, false starts, fillers, prolongations, inconsistent syntactic structures and grammatical errors, whereas in the control group, the disfluencies were mainly fillers and sound prolongations. The disfluencies and ungrammatical expressions occurring in the ASD participants' interactions also caused comprehension problems.

Published
2021
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41. A Learning Method for All: The Testing Effect Is Independent of Cognitive Ability

Author

Jonsson, Bert, Wiklund-Hörnqvist, Carola, Stenlund, Tova, Andersson, Micael, and Nyberg, Lars

Abstract

The testing effect, defined as the positive effect of "retrieval practice" (i.e., self-testing) on long-term memory retention relative to other ways to support learning, is a robust empirical phenomenon. Despite substantial scientific evidence for the testing effect, less is known about its effectiveness in relation to individual differences in cognitive ability. In the present study, we examine whether the effect of retrieval practice is beneficial independent of cognitive ability using behavioral and brain imaging data. In a within-subject design, upper-secondary students learned Swahili-Swedish word pairs through retrieval practice and study. The testing effects were assessed at a direct test and for a subsample after 1- and 4-weeks retention intervals, respectively. Another subsample performed the 1-week retention test during functional MRI (fMRI). Memory retention was analyzed in relation to an educationally relevant composite score dividing participants into low, intermediate, and high cognitive-ability groups. We provide behavioral evidence that the testing effect is independent of cognitive ability. The fMRI findings confirmed a general effectiveness of retrieval practice by showing that brain regions associated with successful retrieval of conceptual representations and semantic processing were more strongly engaged after retrieval practice in all cognitive-ability groups. It is argued that the advantages of retrieval practice should be conveyed to all teachers and students.

Published
2021
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42. Retrieval Practice: Beneficial for All Students or Moderated by Individual Differences?

Author

Bertilsson, Frida, Stenlund, Tova, Wiklund-Hörnqvist, Carola, and Jonsson, Bert

Abstract

Retrieval practice is a learning technique that is known to produce enhanced long-term memory retention when compared to several other techniques. This difference in learning outcome is commonly called "the testing effect". Yet there is little research on how individual differences in personality traits and working memory capacity moderate the size of the retrieval-practice benefits. The current study is a conceptual replication of a previous study, further investigating whether the testing effect is sensitive to individual differences in the personality traits Grit and Need for Cognition, and working memory capacity. Using a within-subjects design (N = 151), participants practiced 60 Swahili-Swedish word pairs (e.g., adhama-honor) through retrieval practice and re-studying. Learning was assessed at three time points: five minutes, one week, and four weeks after practice. The results revealed a significant testing effect at all three time points. Further, the results showed no association between the testing effect and the personality traits, or between the testing effect and working memory, at any time point. To conclude, retrieval practice seems to be a learning technique that is not moderated by individual differences in these specific personality traits or with working memory capacity, thus possibly beneficial for all students.

Published
2021
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45. Sociomaterial Entanglement in One-to-One Computing Classrooms: Exploring Patterns of Relations in Teaching Practices

Author

Meyer, Bente, Bergström, Peter, and Wiklund-Engblom, Annika

Abstract

Although many studies have investigated teaching in one-to-one computing classrooms, not many have considered the material dimension as equally important to the human dimension. Thus, by using a sociomaterial perspective, we aim to broaden the discussion about emergent teaching practices in Nordic classrooms where students use tablets as personal devices. We therefore provide three vignettes from ethnographic classroom studies in Sweden, Finland and Denmark. These illustrate how tablets were used in specific classrooms. In our qualitative analysis of the vignettes, we draw on the concept of patterns of relations to describe the dynamic entanglements of the emergent teaching and learning practices. These are patterns of 1) interrogation, 2) spacemaking and 3) materialisation. Our findings show that tablets do not enter empty learning spaces but are woven into and participate in forming ways of teaching in one-to-one classrooms. Teachers must therefore learn to engage with and manage complex relationships rather than learn how to use an iPad.

Published
2021
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46. Designing for Sustainable Mobile Learning -- Re-Evaluating the Concepts 'Formal' and 'Informal'

Author

Viberg, Olga, Andersson, A., and Wiklund, M.

Abstract

Practitioners designing for mobile learning (mLearning) and scholars exploring the same are faced with the challenge of planning for and understanding a variety of ways and places of learning. This study focuses on one crucial distinction concerning this; that of formal and informal learning. Through the analysis of contemporary research literature, we found that informal learning is represented as more enriching than formal learning. We also identified that some representations of informal learning, such as subconscious and tacit, actually gainsay the idea of designing the learning process. Based on these results we propose a number of implications to enhance pedagogical sustainability in mLearning design. We argue that in order to fuse informal and formal learning, mLearning designers need to offer more clear definitions of the concepts "formal" and "informal"; they need to omit some design aspects to the learners themselves, or to offer a design in form of a learning path that students themselves can customise according to their learning habits, routines, and preferences.

Published
2021
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