21 results on '"Navarro, Ferran"'
Search Results
2. Epidemiological and clinical characterization of community, healthcare-associated and nosocomial colonization and infection due to carbapenemase-producing Klebsiella pneumoniae and Escherichia coli in Spain
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Salamanca-Rivera, Elena, Palacios-Baena, Zaira R., Cañada, Javier E., Moure, Zaira, Pérez-Vázquez, María, Calvo-Montes, Jorge, Martínez-Martínez, Luis, Cantón, Rafael, Ruiz Carrascoso, Guillermo, Pitart, Cristina, Navarro, Ferran, Bou, Germán, Mulet, Xavier, González-López, Juan José, Sivianes, Fran, Delgado-Valverde, Mercedes, Pascual, Álvaro, Oteo-Iglesias, Jesús, and Rodríguez-Baño, Jesús
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- 2024
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3. Comparing the in vitro efficacy of chlorhexidine and povidone-iodine in the prevention of post-surgical endophthalmitis
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Batista, Celso Soares Pereira, primary, Loscos-Giménez, Irene, additional, Gámez, María, additional, Altaba, Raul, additional, de Miniac, Daniela, additional, Martí, Neus, additional, Bassaganyas, Francisca, additional, Juanes, Elena, additional, Rivera, Alba, additional, and Navarro, Ferran, additional
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- 2024
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4. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes
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Chen, Zhishan, primary, Guo, Xingyi, additional, Tao, Ran, additional, Huyghe, Jeroen R., additional, Law, Philip J., additional, Fernandez-Rozadilla, Ceres, additional, Ping, Jie, additional, Jia, Guochong, additional, Long, Jirong, additional, Li, Chao, additional, Shen, Quanhu, additional, Xie, Yuhan, additional, Timofeeva, Maria N., additional, Thomas, Minta, additional, Schmit, Stephanie L., additional, Díez-Obrero, Virginia, additional, Devall, Matthew, additional, Moratalla-Navarro, Ferran, additional, Fernandez-Tajes, Juan, additional, Palles, Claire, additional, Sherwood, Kitty, additional, Briggs, Sarah E. W., additional, Svinti, Victoria, additional, Donnelly, Kevin, additional, Farrington, Susan M., additional, Blackmur, James, additional, Vaughan-Shaw, Peter G., additional, Shu, Xiao-Ou, additional, Lu, Yingchang, additional, Broderick, Peter, additional, Studd, James, additional, Harrison, Tabitha A., additional, Conti, David V., additional, Schumacher, Fredrick R., additional, Melas, Marilena, additional, Rennert, Gad, additional, Obón-Santacana, Mireia, additional, Martín-Sánchez, Vicente, additional, Oh, Jae Hwan, additional, Kim, Jeongseon, additional, Jee, Sun Ha, additional, Jung, Keum Ji, additional, Kweon, Sun-Seog, additional, Shin, Min-Ho, additional, Shin, Aesun, additional, Ahn, Yoon-Ok, additional, Kim, Dong-Hyun, additional, Oze, Isao, additional, Wen, Wanqing, additional, Matsuo, Keitaro, additional, Matsuda, Koichi, additional, Tanikawa, Chizu, additional, Ren, Zefang, additional, Gao, Yu-Tang, additional, Jia, Wei-Hua, additional, Hopper, John L., additional, Jenkins, Mark A., additional, Win, Aung Ko, additional, Pai, Rish K., additional, Figueiredo, Jane C., additional, Haile, Robert W., additional, Gallinger, Steven, additional, Woods, Michael O., additional, Newcomb, Polly A., additional, Duggan, David, additional, Cheadle, Jeremy P., additional, Kaplan, Richard, additional, Kerr, Rachel, additional, Kerr, David, additional, Kirac, Iva, additional, Böhm, Jan, additional, Mecklin, Jukka-Pekka, additional, Jousilahti, Pekka, additional, Knekt, Paul, additional, Aaltonen, Lauri A., additional, Rissanen, Harri, additional, Pukkala, Eero, additional, Eriksson, Johan G., additional, Cajuso, Tatiana, additional, Hänninen, Ulrika, additional, Kondelin, Johanna, additional, Palin, Kimmo, additional, Tanskanen, Tomas, additional, Renkonen-Sinisalo, Laura, additional, Männistö, Satu, additional, Albanes, Demetrius, additional, Weinstein, Stephanie J., additional, Ruiz-Narvaez, Edward, additional, Palmer, Julie R., additional, Buchanan, Daniel D., additional, Platz, Elizabeth A., additional, Visvanathan, Kala, additional, Ulrich, Cornelia M., additional, Siegel, Erin, additional, Brezina, Stefanie, additional, Gsur, Andrea, additional, Campbell, Peter T., additional, Chang-Claude, Jenny, additional, Hoffmeister, Michael, additional, Brenner, Hermann, additional, Slattery, Martha L., additional, Potter, John D., additional, Tsilidis, Kostas K., additional, Schulze, Matthias B., additional, Gunter, Marc J., additional, Murphy, Neil, additional, Castells, Antoni, additional, Castellví-Bel, Sergi, additional, Moreira, Leticia, additional, Arndt, Volker, additional, Shcherbina, Anna, additional, Bishop, D. Timothy, additional, Giles, Graham G., additional, Southey, Melissa C., additional, Idos, Gregory E., additional, McDonnell, Kevin J., additional, Abu-Ful, Zomoroda, additional, Greenson, Joel K., additional, Shulman, Katerina, additional, Lejbkowicz, Flavio, additional, Offit, Kenneth, additional, Su, Yu-Ru, additional, Steinfelder, Robert, additional, Keku, Temitope O., additional, van Guelpen, Bethany, additional, Hudson, Thomas J., additional, Hampel, Heather, additional, Pearlman, Rachel, additional, Berndt, Sonja I., additional, Hayes, Richard B., additional, Martinez, Marie Elena, additional, Thomas, Sushma S., additional, Pharoah, Paul D. P., additional, Larsson, Susanna C., additional, Yen, Yun, additional, Lenz, Heinz-Josef, additional, White, Emily, additional, Li, Li, additional, Doheny, Kimberly F., additional, Pugh, Elizabeth, additional, Shelford, Tameka, additional, Chan, Andrew T., additional, Cruz-Correa, Marcia, additional, Lindblom, Annika, additional, Hunter, David J., additional, Joshi, Amit D., additional, Schafmayer, Clemens, additional, Scacheri, Peter C., additional, Kundaje, Anshul, additional, Schoen, Robert E., additional, Hampe, Jochen, additional, Stadler, Zsofia K., additional, Vodicka, Pavel, additional, Vodickova, Ludmila, additional, Vymetalkova, Veronika, additional, Edlund, Christopher K., additional, Gauderman, W. James, additional, Shibata, David, additional, Toland, Amanda, additional, Markowitz, Sanford, additional, Kim, Andre, additional, Chanock, Stephen J., additional, van Duijnhoven, Franzel, additional, Feskens, Edith J. M., additional, Sakoda, Lori C., additional, Gago-Dominguez, Manuela, additional, Wolk, Alicja, additional, Pardini, Barbara, additional, FitzGerald, Liesel M., additional, Lee, Soo Chin, additional, Ogino, Shuji, additional, Bien, Stephanie A., additional, Kooperberg, Charles, additional, Li, Christopher I., additional, Lin, Yi, additional, Prentice, Ross, additional, Qu, Conghui, additional, Bézieau, Stéphane, additional, Yamaji, Taiki, additional, Sawada, Norie, additional, Iwasaki, Motoki, additional, Le Marchand, Loic, additional, Wu, Anna H., additional, Qu, Chenxu, additional, McNeil, Caroline E., additional, Coetzee, Gerhard, additional, Hayward, Caroline, additional, Deary, Ian J., additional, Harris, Sarah E., additional, Theodoratou, Evropi, additional, Reid, Stuart, additional, Walker, Marion, additional, Ooi, Li Yin, additional, Lau, Ken S., additional, Zhao, Hongyu, additional, Hsu, Li, additional, Cai, Qiuyin, additional, Dunlop, Malcolm G., additional, Gruber, Stephen B., additional, Houlston, Richard S., additional, Moreno, Victor, additional, Casey, Graham, additional, Peters, Ulrike, additional, Tomlinson, Ian, additional, and Zheng, Wei, additional
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- 2024
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5. Supplementary Methods from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk
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Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary
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- 2024
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6. Supplementary Table 2 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk
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Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary
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- 2024
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7. Supplementary Figure 4 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk
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Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary
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- 2024
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8. Data from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk
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Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary
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- 2024
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9. Supplementary Table 1 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk
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Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary
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- 2024
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10. Supplementary Figure 1 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk
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Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary
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- 2024
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11. Supplementary Figure 2 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk
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Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary
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- 2024
- Full Text
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12. Supplementary Figure 3 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk
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Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary
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- 2024
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13. Supplementary Figure 5 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk
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Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary
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- 2024
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14. Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk.
- Author
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Stern, Mariana C., Mendez, Joel Sanchez, Kim, Andre E., Obón-Santacana, Mireia, Moratalla-Navarro, Ferran, Martín, Vicente, Moreno, Victor, Yi Lin, Bien, Stephanie A., Conghui Qu, Yu-Ru Su, White, Emily, Harrison, Tabitha A., Huyghe, Jeroen R., Tangen, Catherine M., Newcomb, Polly A., Phipps, Amanda I., Thomas, Claire E., Kawaguchi, Eric S., and Lewinger, Juan Pablo
- Abstract
Background: High red meat and/or processed meat consumption are established colorectal cancer risk factors. We conducted a genome-wide gene-environment (GxE) interaction analysis to identify genetic variants that may modify these associations. Methods: A pooled sample of 29,842 colorectal cancer cases and 39,635 controls of European ancestry from 27 studies were included. Quantiles for red meat and processed meat intake were constructed from harmonized questionnaire data. Genotyping arrays were imputed to the Haplotype Reference Consortium. Two-step EDGE and joint tests of GxE interaction were utilized in our genome-wide scan. Results: Meta-analyses confirmed positive associations between increased consumption of red meat and processed meat with colorectal cancer risk [per quartile red meat OR = 1.30; 95% confidence interval (CI) = 1.21-1.41; processed meat OR = 1.40; 95% CI = 1.20-1.63]. Two significant genome-wide GxE interactions for red meat consumption were found. Joint GxE tests revealed the rs4871179 SNP in chromosome 8 (downstream of HAS2); greater than median of consumption ORs = 1.38 (95% CI = 1.29-1.46), 1.20 (95% CI = 1.12-1.27), and 1.07 (95% CI = 0.95-1.19) for CC, CG, and GG, respectively. The two-step EDGE method identified the rs35352860 SNP in chromosome 18 (SMAD7 intron); greater than median of consumption ORs = 1.18 (95% CI = 1.11-1.24), 1.35 (95% CI = 1.26-1.44), and 1.46 (95% CI = 1.26-1.69) for CC, CT, and TT, respectively. Conclusions: We propose two novel biomarkers that support the role of meat consumption with an increased risk of colorectal cancer. [ABSTRACT FROM AUTHOR]
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- 2024
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15. Novel insights into genetic susceptibility for colorectal cancer from transcriptome-wide association and functional investigation.
- Author
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Chen, Zhishan, Song, Wenqiang, Shu, Xiao-Ou, Wen, Wanqing, Devall, Matthew, Dampier, Christopher, Moratalla-Navarro, Ferran, Cai, Qiuyin, Long, Jirong, Kaer, Luc Van, Wu, Lan, Huyghe, Jeroen R, Thomas, Minta, Hsu, Li, Woods, Michael O, Albanes, Demetrius, Buchanan, Daniel D, Gsur, Andrea, Hoffmeister, Michael, and Vodicka, Pavel
- Subjects
ALTERNATIVE RNA splicing ,COLORECTAL cancer ,GENE expression ,GENETIC engineering ,CANCER susceptibility - Abstract
Background Transcriptome-wide association studies have been successful in identifying candidate susceptibility genes for colorectal cancer (CRC). To strengthen susceptibility gene discovery, we conducted a large transcriptome-wide association study and an alternative splicing transcriptome-wide association study in CRC using improved genetic prediction models and performed in-depth functional investigations. Methods We analyzed RNA-sequencing data from normal colon tissues and genotype data from 423 European descendants to build genetic prediction models of gene expression and alternative splicing and evaluated model performance using independent RNA-sequencing data from normal colon tissues of the Genotype-Tissue Expression Project. We applied the verified models to genome-wide association studies (GWAS) summary statistics among 58 131 CRC cases and 67 347 controls of European ancestry to evaluate associations of genetically predicted gene expression and alternative splicing with CRC risk. We performed in vitro functional assays for 3 selected genes in multiple CRC cell lines. Results We identified 57 putative CRC susceptibility genes, which included the 48 genes from transcriptome-wide association studies and 15 genes from splicing transcriptome-wide association studies, at a Bonferroni-corrected P value less than .05. Of these, 16 genes were not previously implicated in CRC susceptibility, including a gene PDE7B (6q23.3) at locus previously not reported by CRC GWAS. Gene knockdown experiments confirmed the oncogenic roles for 2 unreported genes, TRPS1 and METRNL , and a recently reported gene, C14orf166. Conclusion This study discovered new putative susceptibility genes of CRC and provided novel insights into the biological mechanisms underlying CRC development. [ABSTRACT FROM AUTHOR]
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- 2024
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16. Consideraciones sobre los comentarios a las recomendaciones del Comité Español del Antibiograma (COESANT) para la realización de los informes de sensibilidad antibiótica acumulada
- Author
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Navarro, Ferran, Oliver, Antonio, and Larrosa, María Nieves
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- 2024
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17. Author Correction: Titers of IgG and IgA against SARS-CoV-2 proteins and their association with symptoms in mild COVID-19 infection.
- Author
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Abril AG, Alejandre J, Mariscal A, Alserawan L, Rabella N, Roman E, Lopez-Contreras J, Navarro F, Serrano E, Nomdedeu JF, and Vidal S
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- 2024
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18. Titers of IgG and IgA against SARS-CoV-2 proteins and their association with symptoms in mild COVID-19 infection.
- Author
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Abril AG, Alejandre J, Mariscal A, Alserawan L, Rabella N, Roman E, Lopez-Contreras J, Navarro F, Serrano E, Nomdedeu JF, and Vidal S
- Subjects
- Humans, Male, Female, Adult, Middle Aged, Spike Glycoprotein, Coronavirus immunology, Coronavirus Nucleocapsid Proteins immunology, Immunoglobulin M blood, Immunoglobulin M immunology, Immunity, Humoral, Phosphoproteins immunology, COVID-19 immunology, COVID-19 virology, COVID-19 blood, Immunoglobulin A blood, Immunoglobulin A immunology, Immunoglobulin G blood, Immunoglobulin G immunology, SARS-CoV-2 immunology, Antibodies, Viral immunology, Antibodies, Viral blood
- Abstract
Humoral immunity in COVID-19 includes antibodies (Abs) targeting spike (S) and nucleocapsid (N) SARS-CoV-2 proteins. Antibody levels are known to correlate with disease severity, but titers are poorly reported in mild or asymptomatic cases. Here, we analyzed the titers of IgA and IgG against SARS-CoV-2 proteins in samples from 200 unvaccinated Hospital Workers (HWs) with mild COVID-19 at two time points after infection. We analyzed the relationship between Ab titers and patient characteristics, clinical features, and evolution over time. Significant differences in IgG and IgA titers against N, S1 and S2 proteins were found when samples were segregated according to time T1 after infection, seroprevalence at T1, sex and age of HWs and symptoms at infection. We found that IgM + samples had higher titers of IgG against N antigen and IgA against S1 and S2 antigens than IgM - samples. There were significant correlations between anti-S1 and S2 Abs. Interestingly, IgM + patients with dyspnea had lower titers of IgG and IgA against N, S1 and S2 than those without dyspnea. Comparing T1 and T2, we found that IgA against N, S1 and S2 but only IgG against certain Ag decreased significantly. In conclusion, an association was established between Ab titers and the development of infection symptoms., (© 2024. The Author(s).)
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- 2024
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19. Improving the diagnosis of urinary tract infections by the use of enriched media and a 48-hour incubation period.
- Author
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Benjumea C, Navarro F, and Alonso-Tarrés C
- Subjects
- Humans, Time Factors, Bacteriological Techniques methods, Bacteriological Techniques standards, Bacteria isolation & purification, Bacteria classification, Bacteria growth & development, Agar, Urine microbiology, Urinary Tract Infections diagnosis, Urinary Tract Infections microbiology, Culture Media chemistry, Sensitivity and Specificity
- Abstract
Introduction. The absence of a gold-standard methodology for the microbiological diagnosis of urinary tract infections (UTI) has led to insufficient standardization of criteria for the interpretation of results and processing methods, particularly incubation time and culture media. Hypothesis. 48-hour incubation time period and use of blood agar enhances the sensitivity of microorganisms isolated significantly. Aim. To determine the sensitivity of blood agar and Brilliance UTI chromogenic agar, incubating for different periods (24-48 hours), for the detection of positive urine cultures. Methodoloy. Comparisons were made between all possible combinations of media and incubation times. As the gold-standard reference, we used the routine methodology of our laboratory, which involves prior screening with available clinical data, flow cytometry, sediment analysis and/or Gram staining. Screened samples were then cultured on blood agar and chromogenic agar and incubated for 48 hours. Also, based on the results of Gram staining, additional media were added in selected cases. Results. The most significant difference was found between chromogenic agar incubated for 24 hours and blood agar incubated for 48 hours, with the latter method allowing the recovery of 10.14 % more microorganisms ( P < 0.0001). Furthermore, the value of performing Gram staining to guide processing was demonstrated, as it avoided the loss of at least 5.14 % of isolates. Conclusions. At least in urological and nephrological patients it is essential to include enriched culture media (blood agar) or to extend the incubation times due to the improvement of the diagnostic sensitivity of urine cultures. Gram staining also can help detect the presence of fastidious microorganisms or mixed infections, indicating whether rich and/or selective media should be included to enhance the diagnostic sensitivity of cultures. If this methodology is not followed, it should be noted that besides fastidious species, fastidious strains of Escherichia coli, Proteus mirabilis, Pseudomonas aerugniosa and Stenotrophomonas maltophilia will also be missed.
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- 2024
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20. Considerations to the comments on the recommendations of the Spanish Antibiogram Committee (COESANT) for the preparation of Cumulative Antibiotic Sensitivity Reports.
- Author
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Navarro F, Oliver A, and Larrosa MN
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- 2024
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21. Novel insights into genetic susceptibility for colorectal cancer from transcriptome-wide association and functional investigation.
- Author
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Chen Z, Song W, Shu XO, Wen W, Devall M, Dampier C, Moratalla-Navarro F, Cai Q, Long J, Van Kaer L, Wu L, Huyghe JR, Thomas M, Hsu L, Woods MO, Albanes D, Buchanan DD, Gsur A, Hoffmeister M, Vodicka P, Wolk A, Marchand LL, Wu AH, Phipps AI, Moreno V, Ulrike P, Zheng W, Casey G, and Guo X
- Subjects
- Humans, Genome-Wide Association Study, Genetic Predisposition to Disease, RNA, Polymorphism, Single Nucleotide, Repressor Proteins genetics, Transcriptome, Colorectal Neoplasms genetics
- Abstract
Background: Transcriptome-wide association studies have been successful in identifying candidate susceptibility genes for colorectal cancer (CRC). To strengthen susceptibility gene discovery, we conducted a large transcriptome-wide association study and an alternative splicing transcriptome-wide association study in CRC using improved genetic prediction models and performed in-depth functional investigations., Methods: We analyzed RNA-sequencing data from normal colon tissues and genotype data from 423 European descendants to build genetic prediction models of gene expression and alternative splicing and evaluated model performance using independent RNA-sequencing data from normal colon tissues of the Genotype-Tissue Expression Project. We applied the verified models to genome-wide association studies (GWAS) summary statistics among 58 131 CRC cases and 67 347 controls of European ancestry to evaluate associations of genetically predicted gene expression and alternative splicing with CRC risk. We performed in vitro functional assays for 3 selected genes in multiple CRC cell lines., Results: We identified 57 putative CRC susceptibility genes, which included the 48 genes from transcriptome-wide association studies and 15 genes from splicing transcriptome-wide association studies, at a Bonferroni-corrected P value less than .05. Of these, 16 genes were not previously implicated in CRC susceptibility, including a gene PDE7B (6q23.3) at locus previously not reported by CRC GWAS. Gene knockdown experiments confirmed the oncogenic roles for 2 unreported genes, TRPS1 and METRNL, and a recently reported gene, C14orf166., Conclusion: This study discovered new putative susceptibility genes of CRC and provided novel insights into the biological mechanisms underlying CRC development., (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
- Published
- 2024
- Full Text
- View/download PDF
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