• Appraising the causal relevance of DNA methylation for risk of lung cancer 

      Battram, Thomas; Richmond, Rebecca C.; Baglietto, Laura; Haycock, Philip C.; Perduca, Vittorio; Bojesen, Stig E.; Gaunt, Tom R.; Hemani, Gibran; Guida, Florence; Carreras-Torres, Robert; Hung, Rayjean; Amos, Christopher I.; Freeman, Joshua R.; Sandanger, Torkjel M; Nøst, Therese Haugdahl; Nordestgaard, Børge G.; Teschendorff, Andrew E.; Polidoro, Silvia; Vineis, Paolo; Severi, Gianluca; Hodge, Allison M.; Giles, Graham G; Grankvist, Kjell; Johansson, Mikael B.; Johansson, Mattias; Smith, George Davey; Relton, Caroline L. (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-09-24)
      <i>Background</i> - DNA methylation changes in peripheral blood have recently been identified in relation to lung cancer risk. Some of these changes have been suggested to mediate part of the effect of smoking on lung cancer. However, limitations with conventional mediation analyses mean that the causal nature of these methylation changes has yet to be fully elucidated.<p> <p><i>Methods</i> - We ...
    • Body Size at Different Ages and Risk of 6 Cancers: A Mendelian Randomization and Prospective Cohort Study 

      Mariosa, Daniela; Smith-Byrne, Karl; Richardson, Tom G.; Ferrari, Pietro; Gunter, Marc J.; Papadimitriou, Nikos; Murphy, Neil; Christakoudi, Sofia; Tsilidis, Konstantinos K.; Riboli, Elio; Muller, David; Purdue, Mark P.; Chanock, Stephen J.; Hung, Rayjean J.; Amos, Christopher I.; O'Mara, Tracy A.; Amiano, Pilar; Pasanisi, Fabrizio; Rodriguez-Barranco, Miguel; Krogh, Vittorio; Tjønneland, Anne; Halkjær, Jytte; Perez-Cornago, Aurora; Chirlaque, María-Dolores; Skeie, Guri; Rylander, Charlotta; Borch, Kristin Benjaminsen; Aune, Dagfinn; Heath, Alicia K.; Ward, Heather A.; Schulze, Matthias; Bonet, Catalina; Weiderpass, Elisabete; Davey Smith, George; Brennan, Paul; Johansson, Mattias (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-19)
      It is unclear if body weight in early life affects cancer risk independently of adult body weight. To investigate this question for 6 obesity-related cancers, we performed univariable and multivariable analyses using 1) Mendelian randomization (MR) analysis and 2) longitudinal analyses in prospective cohorts. Both the MR and longitudinal analyses indicated that larger early life body size was ...
    • Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis 

      Bouras, Emmanouil; Karhunen, Ville; Gill, Dipender; Huang, Jian; Haycock, Philip C.; Gunter, Marc J.; Johansson, Mattias; Brennan, Paul; Key, Tim; Lewis, Sarah J.; Martin, Richard M.; Murphy, Neil; Platz, Elizabeth A.; Travis, Ruth; Yarmolinsky, James; Zuber, Verena; Martin, Paul; Katsoulis, Michail; Freisling, Heinz; Nøst, Therese Haugdahl; Schulze, Matthias B.; Dossus, Laure; Hung, Rayjean J.; Amos, Christopher I.; Ahola-Olli, Ari; Palaniswamy, Saranya; Männikkö, Minna; Auvinen, Juha; Herzig, Karl-Heinz; Keinänen-Kiukaanniemi, Sirkka; Lehtimäki, Terho; Salomaa, Veikko; Raitakari, Olli; Salmi, Marko; Jalkanen, Sirpa; Jarvelin, Marjo-Riitta; Dehghan, Abbas; Tsilidis, Konstantinos K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-11)
      Background - Epidemiological and experimental evidence has linked chronic inflammation to cancer aetiology. It is unclear whether associations for specific inflammatory biomarkers are causal or due to bias. In order to examine whether altered genetically predicted concentration of circulating cytokines are associated with cancer development, we performed a two-sample Mendelian randomisation (MR) ...
    • Circulating Isovalerylcarnitine and Lung Cancer Risk: Evidence from Mendelian Randomization and Prediagnostic Blood Measurements 

      Smith-Byrne, Karl; Cerani, Agustin; Guida, Florence; Zhou, Sirui; Agudo, Antonio; Aleksandrova, Krasimira; Barricarte, Aurelio; Barranco, Miguel Rodríguez; Bochers, Christoph H.; Gram, Inger Torhild; Han, Jun; Amos, Christopher I.; Hung, Rayjean J.; Grankvist, Kjell; Nøst, Therese Haugdahl; Imaz, Liher; Chirlaque-López, María Dolores; Johansson, Mikael; Kaaks, Rudolf; Kühn, Tilman; Martin, Richard M.; McKay, James D.; Pala, Valeria; Robbins, Hilary A.; Sandanger, Torkjel M; Schibli, David; Schulze, Matthias B.; Travis, Ruth C.; Vineis, Paolo; Weiderpass, Elisabete; Brennan, Paul; Johansson, Mattias; Richards, J Brent (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-04)
      Background: Tobacco exposure causes 8 of 10 lung cancers, and identifying additional risk factors is challenging due to confounding introduced by smoking in traditional observational studies.<p> <p>Materials and Methods: We used Mendelian randomization (MR) to screen 207 metabolites for their role in lung cancer predisposition using independent genome-wide association studies (GWAS) of blood ...
    • Lung cancer risk discrimination of prediagnostic proteomics measurements compared with existing prediction tools 

      Feng, Xiaoshuang; Wu, Wendy Yi-Ying; Onwuka, Justina Ucheojor; Haider, Zahra; Alcala, Karine; Smith-Byrne, Karl; Zahed, Hana; Guida, Florence; Wang, Renwei; Bassett, Julie K.; Stevens, Victoria; Wang, Ying; Weinstein, Stephanie; Freedman, Neal D.; Chen, Chu; Tinker, Lesley; Nøst, Therese Haugdahl; Koh, Woon-Puay; Muller, David; Colorado-Yohar, Sandra M.; Tumino, Rosario; Hung, Rayjean J.; Amos, Christopher I.; Lin, Xihong; Zhang, Xuehong; Arslan, Alan A.; Sánchez, Maria-Jose; Sørgjerd, Elin Pettersen; Severi, Gianluca; Hveem, Kristian; Brennan, Paul; Langhammer, Arnulf; Milne, Roger L.; Yuan, Jian-Min; Melin, Beatrice; Johansson, Mikael; Robbins, Hilary A.; Johansson, Mattias (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-01)
      Background: We sought to develop a proteomics-based risk model for lung cancer and evaluate its risk-discriminatory performance in comparison with a smoking-based risk model (PLCOm2012) and a commercially available autoantibody biomarker test.<p><p>Methods: We designed a case-control study nested in 6 prospective cohorts, including 624 lung cancer participants who donated blood samples at most 3 ...