Results 11 to 20 of about 6,140 (191)
Exploring Contraindicated Medications and Corresponding Targeted Genes for Migraine Through Integrated Genetic Approaches. [PDF]
Brain BehavTo systematically identify risk medications for migraine and its subtypes, we integrated GWAS data for 23 medications with GWASs of migraine and its subtypes to conduct causal inference. We then combined plasma eQTLs with drug‐target databases to map putative targets of the risk medications and validated causal relationships using colocalization and ...Wang N, Liang W, Wen Z, Liao W, Xie Z, Zhou Z, Yang Z, Ju X, Zhou H, Huang C. +9 moreeuropepmc +2 more sourcesA Transcriptome-Wide Association Study Identifies Candidate Susceptibility Loci and Genes for Lung Cancer Risk. [PDF]
Cancer MedA transcriptome‐wide association study identified 40 genes associated with the risk of lung cancer, leveraging gene expression and genotype data from the Genotype‐Tissue Expression (GTEx) project and summary statistics of a genome‐wide association study on lung cancer.Zhao T, Shi J, Yang Y, Zhou D, Ping J, Xu S, Xu L, Wu J, Shu XO, Tao R, Li B, Zheng W, Long J, Cai Q. +13 moreeuropepmc +2 more sourcesDissecting the genetic heterogeneity of gastric cancerResearch in context
EBioMedicine, 2023 Summary: Background: Gastric cancer (GC) is clinically heterogenous according to location (cardia/non-cardia) and histopathology (diffuse/intestinal). We aimed to characterize the genetic risk architecture of GC according to its subtypes.Timo Hess, Carlo Maj, Jan Gehlen, Oleg Borisov, Stephan L. Haas, Ines Gockel, Michael Vieth, Guillaume Piessen, Hakan Alakus, Yogesh Vashist, Carina Pereira, Michael Knapp, Vitalia Schüller, Alexander Quaas, Heike I. Grabsch, Jessica Trautmann, Ewa Malecka-Wojciesko, Anna Mokrowiecka, Jan Speller, Andreas Mayr, Julia Schröder, Axel M. Hillmer, Dominik Heider, Florian Lordick, Ángeles Pérez-Aísa, Rafael Campo, Jesús Espinel, Fernando Geijo, Concha Thomson, Luis Bujanda, Federico Sopeña, Ángel Lanas, María Pellisé, Claudia Pauligk, Thorsten Oliver Goetze, Carolin Zelck, Julian Reingruber, Emadeldin Hassanin, Peter Elbe, Sandra Alsabeah, Mats Lindblad, Magnus Nilsson, Nicole Kreuser, René Thieme, Francesca Tavano, Roberta Pastorino, Dario Arzani, Roberto Persiani, Jin-On Jung, Henrik Nienhüser, Katja Ott, Ralf R. Schumann, Oliver Kumpf, Susen Burock, Volker Arndt, Anna Jakubowska, Małgorzta Ławniczak, Victor Moreno, Vicente Martín, Manolis Kogevinas, Marina Pollán, Justyna Dąbrowska, Antonio Salas, Olivier Cussenot, Anne Boland-Auge, Delphine Daian, Jean-Francois Deleuze, Erika Salvi, Maris Teder-Laving, Gianluca Tomasello, Margherita Ratti, Chiara Senti, Valli De Re, Agostino Steffan, Arnulf H. Hölscher, Katharina Messerle, Christiane Josephine Bruns, Armands Sīviņš, Inga Bogdanova, Jurgita Skieceviciene, Justina Arstikyte, Markus Moehler, Hauke Lang, Peter P. Grimminger, Martin Kruschewski, Nikolaos Vassos, Claus Schildberg, Philipp Lingohr, Karsten Ridwelski, Hans Lippert, Nadine Fricker, Peter Krawitz, Per Hoffmann, Markus M. Nöthen, Lothar Veits, Jakob R. Izbicki, Adrianna Mostowska, Federico Martinón-Torres, Daniele Cusi, Rolf Adolfsson, Geraldine Cancel-Tassin, Aksana Höblinger, Ernst Rodermann, Monika Ludwig, Gisela Keller, Andres Metspalu, Hermann Brenner, Joerg Heller, Markus Neef, Michael Schepke, Franz Ludwig Dumoulin, Lutz Hamann, Renato Cannizzaro, Michele Ghidini, Dominik Plaßmann, Michael Geppert, Peter Malfertheiner, Olivier Gehlen, Tomasz Skoczylas, Marek Majewski, Jan Lubiński, Orazio Palmieri, Stefania Boccia, Anna Latiano, Nuria Aragones, Thomas Schmidt, Mário Dinis-Ribeiro, Rui Medeiros, Salah-Eddin Al-Batran, Mārcis Leja, Juozas Kupcinskas, María A. García-González, Marino Venerito, Johannes Schumacher +133 moredoaj +1 more sourceA Transcriptome-Wide Association Study (TWAS) Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer.
Journal of the National Cancer Institute, 2020 BACKGROUND
Although 20 pancreatic cancer susceptibility loci have been identified through genome-wide association studies (GWAS) in individuals of European ancestry, much of its heritability remains unexplained and the genes responsible largely unknown.
Jun Zhong, Ashley A. Jermusyk, Lang Wu, J. Hoskins, I. Collins, E. Mocci, Mingfeng Zhang, Mingfeng Zhang, Lei Song, Charles C. Chung, Tongwu Zhang, Wenming Xiao, Wenming Xiao, D. Albanes, G. Andreotti, A. Arslan, A. Babic, W. Bamlet, L. Beane-Freeman, S. Berndt, A. Borgida, P. Bracci, L. Brais, P. Brennan, B. Bueno-de-Mesquita, J. Buring, J. Buring, F. Canzian, Erica J. Childs, M. Cotterchio, Mengmeng Du, E. Duell, C. Fuchs, S. Gallinger, J. Gaziano, Graham G. Giles, Graham G. Giles, Graham G. Giles, E. Giovannucci, M. Goggins, G. Goodman, P. Goodman, C. Haiman, P. Hartge, M. Hasan, K. Helzlsouer, E. Holly, E. Klein, M. Kogevinas, R. Kurtz, L. LeMarchand, N. Malats, S. Männistö, R. Milne, R. Milne, R. Milne, R. Neale, K. Ng, Ofure Obazee, A. Oberg, I. Orlow, Alpa V. Patel, U. Peters, Miquel Porta, Miquel Porta, N. Rothman, G. Scelo, G. Scelo, G. Scelo, H. Sesso, H. Sesso, G. Severi, S. Sieri, D. Silverman, M. Sund, A. Tjønneland, M. Thornquist, Geoffrey S. Tobias, A. Trichopoulou, S. Eeden, K. Visvanathan, J. Wactawski‐Wende, N. Wentzensen, Emily White, Emily White, Herbert Yu, C. Yuan, A. Zeleniuch‐Jacquotte, R. Hoover, K. Brown, C. Kooperberg, H. Risch, E. Jacobs, Donghui Li, Kai Yu, X. Shu, S. Chanock, B. Wolpin, R. Stolzenberg-Solomon, Nilanjan Chatterjee, Nilanjan Chatterjee, A. Klein, Jill P. Smith, P. Kraft, Jianxin Shi, G. Petersen, W. Zheng, L. Amundadottir +107 moresemanticscholar +1 more sourceMiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer
Nature Communications, 2023 Conventional transcriptome-wide association study (TWAS) approaches predict genetically regulated gene expression at the tissue level. Here, the authors develop a framework for cell-type-aware TWAS that predicts cell-type level expression from genotype ...Xiaoyu Song, Jiayi Ji, Joseph H. Rothstein, Stacey E. Alexeeff, Lori C. Sakoda, Adriana Sistig, Ninah Achacoso, Eric Jorgenson, Alice S. Whittemore, Robert J. Klein, Laurel A. Habel, Pei Wang, Weiva Sieh +12 moredoaj +1 more sourceGenome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci
Breast Cancer Research, 2022 Background Mammographic density (MD) phenotypes, including percent density (PMD), area of dense tissue (DA), and area of non-dense tissue (NDA), are associated with breast cancer risk. Twin studies suggest that MD phenotypes are highly heritable. However,Hongjie Chen, Shaoqi Fan, Jennifer Stone, Deborah J. Thompson, Julie Douglas, Shuai Li, Christopher Scott, Manjeet K. Bolla, Qin Wang, Joe Dennis, Kyriaki Michailidou, Christopher Li, Ulrike Peters, John L. Hopper, Melissa C. Southey, Tu Nguyen-Dumont, Tuong L. Nguyen, Peter A. Fasching, Annika Behrens, Gemma Cadby, Rachel A. Murphy, Kristan Aronson, Anthony Howell, Susan Astley, Fergus Couch, Janet Olson, Roger L. Milne, Graham G. Giles, Christopher A. Haiman, Gertraud Maskarinec, Stacey Winham, Esther M. John, Allison Kurian, Heather Eliassen, Irene Andrulis, D. Gareth Evans, William G. Newman, Per Hall, Kamila Czene, Anthony Swerdlow, Michael Jones, Marina Pollan, Pablo Fernandez-Navarro, Daniel S. McConnell, Vessela N. Kristensen, NBCS Investigators, Joseph H. Rothstein, Pei Wang, Laurel A. Habel, Weiva Sieh, Alison M. Dunning, Paul D. P. Pharoah, Douglas F. Easton, Gretchen L. Gierach, Rulla M. Tamimi, Celine M. Vachon, Sara Lindström +56 moredoaj +1 more sourceAlternative polyadenylation transcriptome-wide association study identifies APA-linked susceptibility genes in brain disorders
Nature Communications, 2023 Alternative polyadenylation (APA) plays an essential role in brain development; however, current transcriptome-wide association studies (TWAS) largely overlook APA in nominating susceptibility genes.Ya Cui, F. Arnold, Fanglue Peng, Dan Wang, J. Li, S. Michels, E. Wagner, A. L. La Spada, Wei Li +8 moresemanticscholar +1 more source