Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer

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Sun, Ryan, Xu, Miao, Li, Xihao, Gaynor, Sheila, Zhou, Hufeng, Li, Zilin, Bosse, Yohan, Lam, Stephen, Tsao, Ming-Sound, Tardon, Adonina et al (show 41 more authors) , Chen, Chu, Doherty, Jennifer, Goodman, Gary, Bojesen, Stig E, Landi, Maria T, Johansson, Mattias, Field, John K ORCID: 0000-0003-3951-6365, Bickeboeller, Heike, Wichmann, H-Erich, Risch, Angela, Rennert, Gadi, Arnold, Suzanne, Wu, Xifeng, Melander, Olle, Brunnstrom, Hans, Le Marchand, Loic, Liu, Geoffrey, Andrew, Angeline, Duell, Eric, Kiemeney, Lambertus A, Shen, Hongbing, Haugen, Aage, Johansson, Mikael, Grankvist, Kjell, Caporaso, Neil, Woll, Penella, Dawn Teare, M, Scelo, Ghislaine, Hong, Yun-Chul, Yuan, Jian-Min, Lazarus, Philip, Schabath, Matthew B, Aldrich, Melinda C, Albanes, Demetrios, Mak, Raymond, Barbie, David, Brennan, Paul, Hung, Rayjean J, Amos, Christopher I, Christiani, David C and Lin, Xihong (2021) Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer. GENETIC EPIDEMIOLOGY, 45 (1). 99 - 114.

Text Lung_cancer_inflammation_genepi_ Final submitted version.pdf - Accepted Version Access to this file is embargoed until 14 September 2021. Download (844kB)