Results 21 to 30 of about 39,970,022 (174)
A large-scale transcriptome-wide association study (TWAS) of ten blood cell phenotypes reveals complexities of TWAS fine-mapping [PDF]
, 2021 Abstract Hematological measures are important intermediate clinical phenotypes for many acute and chronic diseases. Hematological measures are highly heritable, and although genome-wide association studies (GWAS) have identified thousands of loci containing trait-associated variants, the causal genes underlying these ...Amanda L Tapia, Bryce T Rowland, Jonathan D Rosen, Michael Preuss, Kris Young, Misa Graff, Hélène Choquet, David J Couper, Steve Buyske, Stephanie A Bien, Eric Jorgenson, Charles Kooperberg, Ruth J.F. Loos, Alanna C Morrison, Kari E North, Bing Yu, Alexander P Reiner, Yun Li, Laura M Raffield +18 moreopenaire +1 more sourceTranscriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights [PDF]
, 2018 Genome-wide association studies (GWAS) have identified over 100 risk loci for schizophrenia, but the causal mechanisms remain largely unknown. We performed a transcriptome-wide association study (TWAS) integrating a schizophrenia GWAS of 79,845 ...Hyejung Won, Pasaniuc, Bogdan, Finucane, Hilary K., Geschwind, Daniel H., Katsanis, Nicholas, O'Donovan, Michael C., Kousi, Maria, Gusev, Alexander, Bogdan Pasaniuc, Sullivan, Patrick F., Yakir Reshef, Alkes L. Price, Daniel H. Geschwind, Gregory E. Crawford, Won, Hyejung, McCarroll, Steven, Reshef, Yakir, Crawford, Gregory E., Ophoff, Roel A., Nicholas Katsanis, Nicholas Mancuso, Mancuso, Nicholas, Safi, Alexias, Maria Kousi, Benjamin M. Neale, Price, Alkes L., Hilary K. Finucane, Steven McCarroll, Michael C. O’Donovan, O’Donovan, Michael C, Neale, Benjamin M., Geschwind, Daniel H, Sullivan, Patrick F, Crawford, Gregory E, Lingyun Song, Price, Alkes L, Song, Lingyun, null null, Ophoff, Roel A, Alexias Safi, Patrick F. Sullivan, Alexander Gusev, Neale, Benjamin M, Finucane, Hilary K, Roel A. Ophoff +44 morecore +7 more sourcesTranscriptome-wide association study identified candidate genes associated with gut microbiota
Gut Pathogens, 2021 Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities.Chuyu Pan, Yujie Ning, Yumeng Jia, Shiqiang Cheng, Yan Wen, Xuena Yang, Peilin Meng, Chun’e Li, Huijie Zhang, Yujing Chen, Jingxi Zhang, Zhen Zhang, Feng Zhang +12 moredoaj +1 more sourceDissecting 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 sourceBrain transcriptome wide association study (TWAS) implicates 8 genes across 6 loci in Alzheimer’s disease [PDF]
Alzheimer's & Dementia, 2020 AbstractBackgroundAlzheimer’s disease (AD), an incurable neurodegenerative disease, currently affects 1.75% of the United States population, with projected growth to 3.46% by 2050. Common genetic variation linked transcript expression differences which confer AD‐risk isl necessary to elucidate AD mechanism and develop therapeutic interventions.Jake Gockley, Kelsey S. Montgomery, William L. Poehlman, Yue Liu, Ekaterina S. Gerasimov, Anna K. Greenwood, Aliza P. Wingo, Thomas S. Wingo, Lara M. Mangravite, Benjamin A. Logsdon +9 moreopenaire +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 source
