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1. Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk

Author

Tian, Yu, Lin, Yi, Qu, Conghui, Arndt, Volker, Baurley, James W., Berndt, Sonja I., Bien, Stephanie A., Bishop, D. Timothy, Brenner, Hermann, Buchanan, Daniel D., Budiarto, Arif, Campbell, Peter T., Carreras-Torres, Robert, Casey, Graham, Chan, Andrew T., Chen, Rui, Chen, Xuechen, Conti, David V., Díez-Obrero, Virginia, Dimou, Niki, Drew, David A., Figueiredo, Jane C., Gallinger, Steven, Giles, Graham G., Gruber, Stephen B., Gunter, Marc J., Harlid, Sophia, Harrison, Tabitha A., Hidaka, Akihisa, Hoffmeister, Michael, Huyghe, Jeroen R., Jenkins, Mark A., Jordahl, Kristina M., Joshi, Amit D., Keku, Temitope O., Kawaguchi, Eric, Kim, Andre E., Kundaje, Anshul, Larsson, Susanna C., Marchand, Loic Le, Lewinger, Juan Pablo, Li, Li, Moreno, Victor, Morrison, John, Murphy, Neil, Nan, Hongmei, Nassir, Rami, Newcomb, Polly A., Obón-Santacana, Mireia, Ogino, Shuji, Ose, Jennifer, Pardamean, Bens, Pellatt, Andrew J., Peoples, Anita R., Platz, Elizabeth A., Potter, John D., Prentice, Ross L., Rennert, Gad, Ruiz-Narvaez, Edward A., Sakoda, Lori C., Schoen, Robert E., Shcherbina, Anna, Stern, Mariana C., Su, Yu-Ru, Thibodeau, Stephen N., Thomas, Duncan C., Tsilidis, Konstantinos K., van Duijnhoven, Franzel J. B., Van Guelpen, Bethany, Visvanathan, Kala, White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Peters, Ulrike, Gauderman, W. James, Hsu, Li, and Chang-Claude, Jenny

Published
2024
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2. Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization.

Author

Canzian, Federico, Du, Mengmeng, Gallinger, Steven, Giles, Graham, Goodman, Phyllis, Haiman, Christopher, Kogevinas, Manolis, Kooperberg, Charles, LeMarchand, Loic, Neale, Rachel, Visvanathan, Kala, White, Emily, Albanes, Demetrius, Andreotti, Gabriella, Babic, Ana, Berndt, Sonja, Brais, Lauren, Brennan, Paul, Buring, Julie, Rabe, Kari, Bamlet, William, Chanock, Stephen, Fuchs, Charles, Gaziano, J, Giovannucci, Edward, Hackert, Thilo, Hassan, Manal, Katzke, Verena, Kurtz, Robert, Lee, I-Min, Malats, Núria, Murphy, Neil, Oberg, Ann, Orlow, Irene, Porta, Miquel, Real, Francisco, Rothman, Nathaniel, Sesso, Howard, Silverman, Debra, Thompson, Ian, Wactawski-Wende, Jean, Wang, Xiaoliang, Wentzensen, Nicolas, Yu, Herbert, Zeleniuch-Jacquotte, Anne, Yu, Kai, Wolpin, Brian, Duell, Eric, Li, Donghui, Hung, Rayjean, Perdomo, Sandra, McCullough, Marjorie, Freedman, Neal, Patel, Alpa, Peters, Ulrike, Riboli, Elio, Sund, Malin, Tjønneland, Anne, Zhong, Jun, Van Den Eeden, Stephen, Kraft, Peter, Risch, Harvey, Amundadottir, Laufey, Klein, Alison, Stolzenberg-Solomon, Rachael, Antwi, Samuel, King, Sontoria, Veliginti, Swathi, Brouwers, Martijn, Ren, Zhewen, Zheng, Wei, Setiawan, Veronica, Wilkens, Lynne, Shu, Xiao-Ou, Arslan, Alan, Beane Freeman, Laura, and Bracci, Paige

Subjects
Humans, Non-alcoholic Fatty Liver Disease, Genetic Predisposition to Disease, Genome-Wide Association Study, Mendelian Randomization Analysis, Pancreatic Neoplasms, Obesity, Polymorphism, Single Nucleotide
Abstract

BACKGROUND: There are conflicting data on whether nonalcoholic fatty liver disease (NAFLD) is associated with susceptibility to pancreatic cancer. Using Mendelian randomization (MR), we investigated the relationship between genetic predisposition to NAFLD and risk for pancreatic cancer. METHODS: Data from genome-wide association studies (GWAS) within the Pancreatic Cancer Cohort Consortium (PanScan; cases n = 5,090, controls n = 8,733) and the Pancreatic Cancer Case Control Consortium (PanC4; cases n = 4,163, controls n = 3,792) were analyzed. We used data on 68 genetic variants with four different MR methods [inverse variance weighting (IVW), MR-Egger, simple median, and penalized weighted median] separately to predict genetic heritability of NAFLD. We then assessed the relationship between each of the four MR methods and pancreatic cancer risk, using logistic regression to calculate ORs and 95% confidence intervals (CI), adjusting for PC risk factors, including obesity and diabetes. RESULTS: No association was found between genetically predicted NAFLD and pancreatic cancer risk in the PanScan or PanC4 samples [e.g., PanScan, IVW OR, 1.04; 95% confidence interval (CI), 0.88-1.22; MR-Egger OR, 0.89; 95% CI, 0.65-1.21; PanC4, IVW OR, 1.07; 95% CI, 0.90-1.27; MR-Egger OR, 0.93; 95% CI, 0.67-1.28]. None of the four MR methods indicated an association between genetically predicted NAFLD and pancreatic cancer risk in either sample. CONCLUSIONS: Genetic predisposition to NAFLD is not associated with pancreatic cancer risk. IMPACT: Given the close relationship between NAFLD and metabolic conditions, it is plausible that any association between NAFLD and pancreatic cancer might reflect host metabolic perturbations (e.g., obesity, diabetes, or metabolic syndrome) and does not necessarily reflect a causal relationship between NAFLD and pancreatic cancer.

Published
2023

4. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

Author

Chen, Zhishan, Guo, Xingyi, Tao, Ran, Huyghe, Jeroen R., Law, Philip J., Fernandez-Rozadilla, Ceres, Ping, Jie, Jia, Guochong, Long, Jirong, Li, Chao, Shen, Quanhu, Xie, Yuhan, Timofeeva, Maria N., Thomas, Minta, Schmit, Stephanie L., Díez-Obrero, Virginia, Devall, Matthew, Moratalla-Navarro, Ferran, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah E. W., Svinti, Victoria, Donnelly, Kevin, Farrington, Susan M., Blackmur, James, Vaughan-Shaw, Peter G., Shu, Xiao-Ou, Lu, Yingchang, Broderick, Peter, Studd, James, Harrison, Tabitha A., Conti, David V., Schumacher, Fredrick R., Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John L., Jenkins, Mark A., Win, Aung Ko, Pai, Rish K., Figueiredo, Jane C., Haile, Robert W., Gallinger, Steven, Woods, Michael O., Newcomb, Polly A., Duggan, David, Cheadle, Jeremy P., Kaplan, Richard, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Jukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri A., Rissanen, Harri, Pukkala, Eero, Eriksson, Johan G., Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie J., Ruiz-Narvaez, Edward, Palmer, Julie R., Buchanan, Daniel D., Platz, Elizabeth A., Visvanathan, Kala, Ulrich, Cornelia M., Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter T., Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha L., Potter, John D., Tsilidis, Kostas K., Schulze, Matthias B., Gunter, Marc J., Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Bishop, D. Timothy, Giles, Graham G., Southey, Melissa C., Idos, Gregory E., McDonnell, Kevin J., Abu-Ful, Zomoroda, Greenson, Joel K., Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope O., van Guelpen, Bethany, Hudson, Thomas J., Hampel, Heather, Pearlman, Rachel, Berndt, Sonja I., Hayes, Richard B., Martinez, Marie Elena, Thomas, Sushma S., Pharoah, Paul D. P., Larsson, Susanna C., Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly F., Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew T., Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David J., Joshi, Amit D., Schafmayer, Clemens, Scacheri, Peter C., Kundaje, Anshul, Schoen, Robert E., Hampe, Jochen, Stadler, Zsofia K., Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Edlund, Christopher K., Gauderman, W. James, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen J., van Duijnhoven, Franzel, Feskens, Edith J. M., Sakoda, Lori C., Gago-Dominguez, Manuela, Wolk, Alicja, Pardini, Barbara, FitzGerald, Liesel M., Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie A., Kooperberg, Charles, Li, Christopher I., Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Le Marchand, Loic, Wu, Anna H., Qu, Chenxu, McNeil, Caroline E., Coetzee, Gerhard, Hayward, Caroline, Deary, Ian J., Harris, Sarah E., Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Lau, Ken S., Zhao, Hongyu, Hsu, Li, Cai, Qiuyin, Dunlop, Malcolm G., Gruber, Stephen B., Houlston, Richard S., Moreno, Victor, Casey, Graham, Peters, Ulrike, Tomlinson, Ian, and Zheng, Wei

Published
2024
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5. Common Genetic Variation and Age of Onset of Anorexia Nervosa.

Author

Watson, Hunna J, Thornton, Laura M, Yilmaz, Zeynep, Baker, Jessica H, Coleman, Jonathan RI, Adan, Roger AH, Alfredsson, Lars, Andreassen, Ole A, Ask, Helga, Berrettini, Wade H, Boehnke, Michael, Boehm, Ilka, Boni, Claudette, Buehren, Katharina, Bulant, Josef, Burghardt, Roland, Chang, Xiao, Cichon, Sven, Cone, Roger D, Courtet, Philippe, Crow, Scott, Crowley, James J, Danner, Unna N, de Zwaan, Martina, Dedoussis, George, DeSocio, Janiece E, Dick, Danielle M, Dikeos, Dimitris, Dina, Christian, Djurovic, Srdjan, Dmitrzak-Weglarz, Monika, Docampo-Martinez, Elisa, Duriez, Philibert, Egberts, Karin, Ehrlich, Stefan, Eriksson, Johan G, Escaramís, Geòrgia, Esko, Tõnu, Estivill, Xavier, Farmer, Anne, Fernández-Aranda, Fernando, Fichter, Manfred M, Föcker, Manuel, Foretova, Lenka, Forstner, Andreas J, Frei, Oleksandr, Gallinger, Steven, Giegling, Ina, Giuranna, Johanna, Gonidakis, Fragiskos, Gorwood, Philip, Gratacòs, Mònica, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Hauser, Joanna, Havdahl, Alexandra, Hebebrand, Johannes, Helder, Sietske G, Herms, Stefan, Herpertz-Dahlmann, Beate, Herzog, Wolfgang, Hinney, Anke, Hübel, Christopher, Hudson, James I, Imgart, Hartmut, Jamain, Stephanie, Janout, Vladimir, Jiménez-Murcia, Susana, Jones, Ian R, Julià, Antonio, Kalsi, Gursharan, Kaminská, Deborah, Kaprio, Jaakko, Karhunen, Leila, Kas, Martien JH, Keel, Pamela K, Kennedy, James L, Keski-Rahkonen, Anna, Kiezebrink, Kirsty, Klareskog, Lars, Klump, Kelly L, Knudsen, Gun Peggy S, La Via, Maria C, Le Hellard, Stephanie, Leboyer, Marion, Li, Dong, Lilenfeld, Lisa, Lin, Bochao, Lissowska, Jolanta, Luykx, Jurjen, Magistretti, Pierre, Maj, Mario, Marsal, Sara, Marshall, Christian R, Mattingsdal, Morten, Meulenbelt, Ingrid, Micali, Nadia, Mitchell, Karen S, and Monteleone, Alessio Maria

Subjects
Age of onset, Anorexia nervosa, Early-onset, GWAS, Genetic risk score, Genetics, Menarche, Mendelian randomization, Puberty, Mental Health, Human Genome, Eating Disorders, Anorexia, Brain Disorders, Pediatric, Prevention, Aetiology, 2.1 Biological and endogenous factors
Abstract

BackgroundGenetics and biology may influence the age of onset of anorexia nervosa (AN). The aims of this study were to determine whether common genetic variation contributes to age of onset of AN and to investigate the genetic associations between age of onset of AN and age at menarche.MethodsA secondary analysis of the Psychiatric Genomics Consortium genome-wide association study (GWAS) of AN was performed, which included 9335 cases and 31,981 screened controls, all from European ancestries. We conducted GWASs of age of onset, early-onset AN (

Published
2022

6. Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk.

Author

Tian, Yu, Kim, Andre E, Bien, Stephanie A, Lin, Yi, Qu, Conghui, Harrison, Tabitha A, Carreras-Torres, Robert, Díez-Obrero, Virginia, Dimou, Niki, Drew, David A, Hidaka, Akihisa, Huyghe, Jeroen R, Jordahl, Kristina M, Morrison, John, Murphy, Neil, Obón-Santacana, Mireia, Ulrich, Cornelia M, Ose, Jennifer, Peoples, Anita R, Ruiz-Narvaez, Edward A, Shcherbina, Anna, Stern, Mariana C, Su, Yu-Ru, van Duijnhoven, Franzel JB, Arndt, Volker, Baurley, James W, Berndt, Sonja I, Bishop, D Timothy, Brenner, Hermann, Buchanan, Daniel D, Chan, Andrew T, Figueiredo, Jane C, Gallinger, Steven, Gruber, Stephen B, Harlid, Sophia, Hoffmeister, Michael, Jenkins, Mark A, Joshi, Amit D, Keku, Temitope O, Larsson, Susanna C, Le Marchand, Loic, Li, Li, Giles, Graham G, Milne, Roger L, Nan, Hongmei, Nassir, Rami, Ogino, Shuji, Budiarto, Arif, Platz, Elizabeth A, Potter, John D, Prentice, Ross L, Rennert, Gad, Sakoda, Lori C, Schoen, Robert E, Slattery, Martha L, Thibodeau, Stephen N, Van Guelpen, Bethany, Visvanathan, Kala, White, Emily, Wolk, Alicja, Woods, Michael O, Wu, Anna H, Campbell, Peter T, Casey, Graham, Conti, David V, Gunter, Marc J, Kundaje, Anshul, Lewinger, Juan Pablo, Moreno, Victor, Newcomb, Polly A, Pardamean, Bens, Thomas, Duncan C, Tsilidis, Konstantinos K, Peters, Ulrike, Gauderman, W James, Hsu, Li, and Chang-Claude, Jenny

Subjects
Humans, Colorectal Neoplasms, Estrogens, Progestins, Risk Factors, Case-Control Studies, Menopause, Polymorphism, Single Nucleotide, Female, Aging, Digestive Diseases, Estrogen, Colo-Rectal Cancer, Genetics, Prevention, Human Genome, Clinical Research, Cancer, 2.1 Biological and endogenous factors, Aetiology, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundThe use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk.MethodsWe conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants.ResultsThe use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P

Published
2022

7. Probing the diabetes and colorectal cancer relationship using gene – environment interaction analyses

Author

Dimou, Niki, Kim, Andre E., Flanagan, Orlagh, Murphy, Neil, Diez-Obrero, Virginia, Shcherbina, Anna, Aglago, Elom K., Bouras, Emmanouil, Campbell, Peter T., Casey, Graham, Gallinger, Steven, Gruber, Stephen B., Jenkins, Mark A., Lin, Yi, Moreno, Victor, Ruiz-Narvaez, Edward, Stern, Mariana C., Tian, Yu, Tsilidis, Kostas K., Arndt, Volker, Barry, Elizabeth L., Baurley, James W., Berndt, Sonja I., Bézieau, Stéphane, Bien, Stephanie A., Bishop, D. Timothy, Brenner, Hermann, Budiarto, Arif, Carreras-Torres, Robert, Cenggoro, Tjeng Wawan, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Chen, Xuechen, Conti, David V., Dampier, Christopher H., Devall, Matthew, Drew, David A., Figueiredo, Jane C., Giles, Graham G., Gsur, Andrea, Harrison, Tabitha A., Hidaka, Akihisa, Hoffmeister, Michael, Huyghe, Jeroen R., Jordahl, Kristina, Kawaguchi, Eric, Keku, Temitope O., Larsson, Susanna C., Le Marchand, Loic, Lewinger, Juan Pablo, Li, Li, Mahesworo, Bharuno, Morrison, John, Newcomb, Polly A., Newton, Christina C., Obon-Santacana, Mireia, Ose, Jennifer, Pai, Rish K., Palmer, Julie R., Papadimitriou, Nikos, Pardamean, Bens, Peoples, Anita R., Pharoah, Paul D. P., Platz, Elizabeth A., Potter, John D., Rennert, Gad, Scacheri, Peter C., Schoen, Robert E., Su, Yu-Ru, Tangen, Catherine M., Thibodeau, Stephen N., Thomas, Duncan C., Ulrich, Cornelia M., Um, Caroline Y., van Duijnhoven, Franzel J. B., Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, White, Emily, Wolk, Alicja, Woods, Michael O., Qu, Conghui, Kundaje, Anshul, Hsu, Li, Gauderman, W. James, Gunter, Marc J., and Peters, Ulrike

Published
2023
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8. Genetically proxied glucose-lowering drug target perturbation and risk of cancer: a Mendelian randomisation analysis

Author

Yarmolinsky, James, Bouras, Emmanouil, Constantinescu, Andrei, Burrows, Kimberley, Bull, Caroline J., Vincent, Emma E., Martin, Richard M., Dimopoulou, Olympia, Lewis, Sarah J., Moreno, Victor, Vujkovic, Marijana, Chang, Kyong-Mi, Voight, Benjamin F., Tsao, Philip S., Gunter, Marc J., Hampe, Jochen, Pellatt, Andrew J., Pharoah, Paul D. P., Schoen, Robert E., Gallinger, Steven, Jenkins, Mark A., Pai, Rish K., Gill, Dipender, and Tsilidis, Kostas K.

Published
2023
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9. Simulated dose painting of hypoxic sub-volumes in pancreatic cancer stereotactic body radiotherapy

Author

Elamir, Ahmed M., Stanescu, Teodor, Shessel, Andrea, Tadic, Tony, Yeung, Ivan, Letourneau, Daniel, Kim, John, Lukovic, Jelena, Dawson, Laura A., Wong, Rebecca, Barry, Aisling, Brierley, James, Gallinger, Steven, Knox, Jennifer, O'Kane, Grainne, Dhani, Neesha, Hosni, Ali, and Taylor, Edward

Subjects
Physics - Medical Physics
Abstract

Dose painting of hypoxic tumour sub-volumes using positron-emission tomography (PET) has been shown to improve tumour control in silico in several sites. Pancreatic cancer presents a more stringent challenge, given its proximity to critical organs-at-risk (OARs) and anatomic motion. A radiobiological model was developed to estimate clonogen survival fraction (SF), using 18F-fluoroazomycin arabinoside PET (FAZA PET) images from ten patients with pancreatic cancer to quantify oxygen enhancement effects. For each patient, four simulated five-fraction stereotactic body radiotherapy (SBRT) plans were generated: 1) a standard SBRT plan aiming to cover the planning target volume with 40 Gy, 2) dose painting plans delivering escalated doses to FAZA-avid hypoxic sub-volumes, 3) dose painting plans with simulated spacer separating the duodenum and pancreatic head, and 4), plans with integrated boosts to geometric contractions of the tumour (GTV). All plans saturated at least one OAR dose limit. SF was calculated for each plan and sensitivity of SF to simulated hypoxia quantification errors was evaluated. Dose painting resulted in a 55% reduction in SF as compared to standard SBRT; 78% with spacer. Integrated boosts to hypoxia-blind geometric contractions resulted in a 41% reduction in SF. The reduction in SF for dose-painting plans persisted for all hypoxia quantification parameters studied, including registration and rigid motion errors that resulted in shifts and rotations of the GTV and hypoxic sub-volumes by as much as 1 cm and 10 degrees. Although proximity to OARs ultimately limited dose escalation, with estimated SFs (~10^-5) well above levels required to completely ablate a ~10 cm^3 tumour, dose painting robustly reduced clonogen survival when accounting for expected treatment and imaging uncertainties and thus, may improve local response and associated morbidity.

Published
2021
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11. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors.

Author

Mullins, Niamh, Kang, JooEun, Campos, Adrian I, Coleman, Jonathan RI, Edwards, Alexis C, Galfalvy, Hanga, Levey, Daniel F, Lori, Adriana, Shabalin, Andrey, Starnawska, Anna, Su, Mei-Hsin, Watson, Hunna J, Adams, Mark, Awasthi, Swapnil, Gandal, Michael, Hafferty, Jonathan D, Hishimoto, Akitoyo, Kim, Minsoo, Okazaki, Satoshi, Otsuka, Ikuo, Ripke, Stephan, Ware, Erin B, Bergen, Andrew W, Berrettini, Wade H, Bohus, Martin, Brandt, Harry, Chang, Xiao, Chen, Wei J, Chen, Hsi-Chung, Crawford, Steven, Crow, Scott, DiBlasi, Emily, Duriez, Philibert, Fernández-Aranda, Fernando, Fichter, Manfred M, Gallinger, Steven, Glatt, Stephen J, Gorwood, Philip, Guo, Yiran, Hakonarson, Hakon, Halmi, Katherine A, Hwu, Hai-Gwo, Jain, Sonia, Jamain, Stéphane, Jiménez-Murcia, Susana, Johnson, Craig, Kaplan, Allan S, Kaye, Walter H, Keel, Pamela K, Kennedy, James L, Klump, Kelly L, Li, Dong, Liao, Shih-Cheng, Lieb, Klaus, Lilenfeld, Lisa, Liu, Chih-Min, Magistretti, Pierre J, Marshall, Christian R, Mitchell, James E, Monson, Eric T, Myers, Richard M, Pinto, Dalila, Powers, Abigail, Ramoz, Nicolas, Roepke, Stefan, Rozanov, Vsevolod, Scherer, Stephen W, Schmahl, Christian, Sokolowski, Marcus, Strober, Michael, Thornton, Laura M, Treasure, Janet, Tsuang, Ming T, Witt, Stephanie H, Woodside, D Blake, Yilmaz, Zeynep, Zillich, Lea, Adolfsson, Rolf, Agartz, Ingrid, Air, Tracy M, Alda, Martin, Alfredsson, Lars, Andreassen, Ole A, Anjorin, Adebayo, Appadurai, Vivek, Soler Artigas, María, Van der Auwera, Sandra, Azevedo, M Helena, Bass, Nicholas, Bau, Claiton HD, Baune, Bernhard T, Bellivier, Frank, Berger, Klaus, Biernacka, Joanna M, Bigdeli, Tim B, Binder, Elisabeth B, Boehnke, Michael, Boks, Marco P, Bosch, Rosa, and Braff, David L

Subjects
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Eating Disorders Working Group of the Psychiatric Genomics Consortium, German Borderline Genomics Consortium, MVP Suicide Exemplar Workgroup, VA Million Veteran Program, Humans, Risk Factors, Suicide, Attempted, Mental Disorders, Depressive Disorder, Major, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic correlation, Genome-wide association study, Pleiotropy, Polygenicity, Suicide, Suicide attempt, Human Genome, Behavioral and Social Science, Mental Health, Prevention, Genetics, Brain Disorders, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundSuicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders.MethodsWe conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors.ResultsTwo loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged.ConclusionsOur results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.

Published
2022

12. Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival

Author

Labadie, Julia D, Savas, Sevtap, Harrison, Tabitha A, Banbury, Barb, Huang, Yuhan, Buchanan, Daniel D, Campbell, Peter T, Gallinger, Steven J, Giles, Graham G, Gunter, Marc J, Hoffmeister, Michael, Hsu, Li, Jenkins, Mark A, Lin, Yi, Ogino, Shuji, Phipps, Amanda I, Slattery, Martha L, Steinfelder, Robert S, Sun, Wei, Van Guelpen, Bethany, Hua, Xinwei, Figuieredo, Jane C, Pai, Rish K, Nassir, Rami, Qi, Lihong, Chan, Andrew T, Peters, Ulrike, and Newcomb, Polly A

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Oncology and Carcinogenesis, Human Genome, Cancer, Colo-Rectal Cancer, Prevention, Digestive Diseases, Aetiology, 2.1 Biological and endogenous factors, Adult, Aged, Aged, 80 and over, Biomarkers, Tumor, Colorectal Neoplasms, Databases, Genetic, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Middle Aged, Neoplasm Staging, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Young Adult
Abstract

Identification of new genetic markers may improve the prediction of colorectal cancer prognosis. Our objective was to examine genome-wide associations of germline genetic variants with disease-specific survival in an analysis of 16,964 cases of colorectal cancer. We analyzed genotype and colorectal cancer-specific survival data from a consortium of 15 studies. Approximately 7.5 million SNPs were examined under the log-additive model using Cox proportional hazards models, adjusting for clinical factors and principal components. Additionally, we ran secondary analyses stratifying by tumor site and disease stage. We used a genome-wide p-value threshold of 5 × 10-8 to assess statistical significance. No variants were statistically significantly associated with disease-specific survival in the full case analysis or in the stage-stratified analyses. Three SNPs were statistically significantly associated with disease-specific survival for cases with tumors located in the distal colon (rs698022, HR = 1.48, CI 1.30-1.69, p = 8.47 × 10-9) and the proximal colon (rs189655236, HR = 2.14, 95% CI 1.65-2.77, p = 9.19 × 10-9 and rs144717887, HR = 2.01, 95% CI 1.57-2.58, p = 3.14 × 10-8), whereas no associations were detected for rectal tumors. Findings from this large genome-wide association study highlight the potential for anatomical-site-stratified genome-wide studies to identify germline genetic risk variants associated with colorectal cancer-specific survival. Larger sample sizes and further replication efforts are needed to more fully interpret these findings.

Published
2022

13. Systemic inflammatory prognostic scores in advanced pancreatic adenocarcinoma

Author

Ma, Lucy X., Wang, Yifan, Espin-Garcia, Osvaldo, Allen, Michael J., Jang, Gun Ho, Zhang, Amy, Dodd, Anna, Ramotar, Stephanie, Hutchinson, Shawn, Tehfe, Mustapha, Ramjeesingh, Ravi, Biagi, James, Wilson, Julie M., Notta, Faiyaz, Fischer, Sandra E., Zogopoulos, George, Gallinger, Steven, Grant, Robert C., Khokha, Rama, Chan, Nathan, Grünwald, Barbara T., Knox, Jennifer J., and O’Kane, Grainne M.

Published
2023
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15. The Mutographs biorepository: A unique genomic resource to study cancer around the world

Author

Perdomo, Sandra, Abedi-Ardekani, Behnoush, de Carvalho, Ana Carolina, Ferreiro-Iglesias, Aida, Gaborieau, Valérie, Cattiaux, Thomas, Renard, Hélène, Chopard, Priscilia, Carreira, Christine, Spanu, Andreea, Nikmanesh, Arash, Cardoso Penha, Ricardo Cortez, Antwi, Samuel O., Ashton-Prolla, Patricia, Canova, Cristina, Chitapanarux, Taned, Cox, Riley, Curado, Maria Paula, de Oliveira, José Carlos, Dzamalala, Charles, Fabianova, Elenora, Ferri, Lorenzo, Fitzgerald, Rebecca, Foretova, Lenka, Gallinger, Steven, Goldstein, Alisa M., Holcatova, Ivana, Huertas, Antonio, Janout, Vladimir, Jarmalaite, Sonata, Kaneva, Radka, Kowalski, Luiz Paulo, Kulis, Tomislav, Lagiou, Pagona, Lissowska, Jolanta, Malekzadeh, Reza, Mates, Dana, McCorrmack, Valerie, Menya, Diana, Mhatre, Sharayu, Mmbaga, Blandina Theophil, de Moricz, André, Nyirády, Péter, Ognjanovic, Miodrag, Papadopoulou, Kyriaki, Polesel, Jerry, Purdue, Mark P., Rascu, Stefan, Rebolho Batista, Lidia Maria, Reis, Rui Manuel, Ribeiro Pinto, Luis Felipe, Rodríguez-Urrego, Paula A., Sangkhathat, Surasak, Sangrajrang, Suleeporn, Shibata, Tatsuhiro, Stakhovsky, Eduard, Świątkowska, Beata, Vaccaro, Carlos, Vasconcelos de Podesta, Jose Roberto, Vasudev, Naveen S., Vilensky, Marta, Yeung, Jonathan, Zaridze, David, Zendehdel, Kazem, Scelo, Ghislaine, Chanudet, Estelle, Wang, Jingwei, Fitzgerald, Stephen, Latimer, Calli, Moody, Sarah, Humphreys, Laura, Alexandrov, Ludmil B., Stratton, Michael R., and Brennan, Paul

Published
2024
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16. Body size and risk of colorectal cancer molecular defined subtypes and pathways: Mendelian randomization analyses

Author

Papadimitriou, Nikos, Qu, Conghui, Harrison, Tabitha A., Bever, Alaina M., Martin, Richard M., Tsilidis, Konstantinos K., Newcomb, Polly A., Thibodeau, Stephen N., Newton, Christina C., Um, Caroline Y., Obón-Santacana, Mireia, Moreno, Victor, Brenner, Hermann, Mandic, Marko, Chang-Claude, Jenny, Hoffmeister, Michael, Pellatt, Andrew J., Schoen, Robert E., Harlid, Sophia, Ogino, Shuji, Ugai, Tomotaka, Buchanan, Daniel D., Lynch, Brigid M., Gruber, Stephen B., Cao, Yin, Hsu, Li, Huyghe, Jeroen R., Lin, Yi, Steinfelder, Robert S., Sun, Wei, Van Guelpen, Bethany, Zaidi, Syed H., Toland, Amanda E., Berndt, Sonja I., Huang, Wen-Yi, Aglago, Elom K., Drew, David A., French, Amy J., Georgeson, Peter, Giannakis, Marios, Hullar, Meredith, Nowak, Johnathan A., Thomas, Claire E., Le Marchand, Loic, Cheng, Iona, Gallinger, Steven, Jenkins, Mark A., Gunter, Marc J., Campbell, Peter T., Peters, Ulrike, Song, Mingyang, Phipps, Amanda I., and Murphy, Neil

Published
2024
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17. Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: a Mendelian randomization study

Author

Tsilidis, Konstantinos K, Papadimitriou, Nikos, Dimou, Niki, Gill, Dipender, Lewis, Sarah J, Martin, Richard M, Murphy, Neil, Markozannes, Georgios, Zuber, Verena, Cross, Amanda J, Burrows, Kimberley, Lopez, David S, Key, Timothy J, Travis, Ruth C, Perez-Cornago, Aurora, Hunter, David J, van Duijnhoven, Fränzel JB, Albanes, Demetrius, Arndt, Volker, Berndt, Sonja I, Bézieau, Stéphane, Bishop, D Timothy, Boehm, Juergen, Brenner, Hermann, Burnett-Hartman, Andrea, Campbell, Peter T, Casey, Graham, Castellví-Bel, Sergi, Chan, Andrew T, Chang-Claude, Jenny, de la Chapelle, Albert, Figueiredo, Jane C, Gallinger, Steven J, Giles, Graham G, Goodman, Phyllis J, Gsur, Andrea, Hampe, Jochen, Hampel, Heather, Hoffmeister, Michael, Jenkins, Mark A, Keku, Temitope O, Kweon, Sun-Seog, Larsson, Susanna C, Le Marchand, Loic, Li, Christopher I, Li, Li, Lindblom, Annika, Martín, Vicente, Milne, Roger L, Moreno, Victor, Nan, Hongmei, Nassir, Rami, Newcomb, Polly A, Offit, Kenneth, Pharoah, Paul DP, Platz, Elizabeth A, Potter, John D, Qi, Lihong, Rennert, Gad, Sakoda, Lori C, Schafmayer, Clemens, Slattery, Martha L, Snetselaar, Linda, Schenk, Jeanette, Thibodeau, Stephen N, Ulrich, Cornelia M, Van Guelpen, Bethany, Harlid, Sophia, Visvanathan, Kala, Vodickova, Ludmila, Wang, Hansong, White, Emily, Wolk, Alicja, Woods, Michael O, Wu, Anna H, Zheng, Wei, Bueno-de-Mesquita, Bas, Boutron-Ruault, Marie-Christine, Hughes, David J, Jakszyn, Paula, Kühn, Tilman, Palli, Domenico, Riboli, Elio, Giovannucci, Edward L, Banbury, Barbara L, Gruber, Stephen B, Peters, Ulrike, Gunter, Marc J, and on behalf of GECCO, CORECT

Subjects
Complementary and Integrative Health, Digestive Diseases, Clinical Research, Clinical Trials and Supportive Activities, Cancer, Colo-Rectal Cancer, Prevention, Nutrition, Prevention of disease and conditions, and promotion of well-being, 3.3 Nutrition and chemoprevention, Case-Control Studies, Colorectal Neoplasms, Dietary Supplements, Genetic Predisposition to Disease, Humans, Mendelian Randomization Analysis, Micronutrients, Risk Factors, Selenium, Vitamin B 12, White People, Mendelian randomization, genes, nutrition, supplements, colorectal cancer, Engineering, Medical and Health Sciences, Nutrition & Dietetics
Abstract

BackgroundThe literature on associations of circulating concentrations of minerals and vitamins with risk of colorectal cancer is limited and inconsistent. Evidence from randomized controlled trials (RCTs) to support the efficacy of dietary modification or nutrient supplementation for colorectal cancer prevention is also limited.ObjectivesTo complement observational and RCT findings, we investigated associations of genetically predicted concentrations of 11 micronutrients (β-carotene, calcium, copper, folate, iron, magnesium, phosphorus, selenium, vitamin B-6, vitamin B-12, and zinc) with colorectal cancer risk using Mendelian randomization (MR).MethodsTwo-sample MR was conducted using 58,221 individuals with colorectal cancer and 67,694 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry. Inverse variance-weighted MR analyses were performed with sensitivity analyses to assess the impact of potential violations of MR assumptions.ResultsNominally significant associations were noted for genetically predicted iron concentration and higher risk of colon cancer [ORs per SD (ORSD): 1.08; 95% CI: 1.00, 1.17; P value = 0.05] and similarly for proximal colon cancer, and for vitamin B-12 concentration and higher risk of colorectal cancer (ORSD: 1.12; 95% CI: 1.03, 1.21; P value = 0.01) and similarly for colon cancer. A nominally significant association was also noted for genetically predicted selenium concentration and lower risk of colon cancer (ORSD: 0.98; 95% CI: 0.96, 1.00; P value = 0.05) and similarly for distal colon cancer. These associations were robust to sensitivity analyses. Nominally significant inverse associations were observed for zinc and risk of colorectal and distal colon cancers, but sensitivity analyses could not be performed. None of these findings survived correction for multiple testing. Genetically predicted concentrations of β-carotene, calcium, copper, folate, magnesium, phosphorus, and vitamin B-6 were not associated with disease risk.ConclusionsThese results suggest possible causal associations of circulating iron and vitamin B-12 (positively) and selenium (inversely) with risk of colon cancer.

Published
2021

18. Shared genetic risk between eating disorder‐ and substance‐use‐related phenotypes: Evidence from genome‐wide association studies

Author

Munn‐Chernoff, Melissa A, Johnson, Emma C, Chou, Yi‐Ling, Coleman, Jonathan RI, Thornton, Laura M, Walters, Raymond K, Yilmaz, Zeynep, Baker, Jessica H, Hübel, Christopher, Gordon, Scott, Medland, Sarah E, Watson, Hunna J, Gaspar, Héléna A, Bryois, Julien, Hinney, Anke, Leppä, Virpi M, Mattheisen, Manuel, Ripke, Stephan, Yao, Shuyang, Giusti‐Rodríguez, Paola, Hanscombe, Ken B, Adan, Roger AH, Alfredsson, Lars, Ando, Tetsuya, Andreassen, Ole A, Berrettini, Wade H, Boehm, Ilka, Boni, Claudette, Perica, Vesna Boraska, Buehren, Katharina, Burghardt, Roland, Cassina, Matteo, Cichon, Sven, Clementi, Maurizio, Cone, Roger D, Courtet, Philippe, Crow, Scott, Crowley, James J, Danner, Unna N, Davis, Oliver SP, de Zwaan, Martina, Dedoussis, George, Degortes, Daniela, DeSocio, Janiece E, Dick, Danielle M, Dikeos, Dimitris, Dina, Christian, Dmitrzak‐Weglarz, Monika, Docampo, Elisa, Duncan, Laramie E, Egberts, Karin, Ehrlich, Stefan, Escaramís, Geòrgia, Esko, Tõnu, Estivill, Xavier, Farmer, Anne, Favaro, Angela, Fernández‐Aranda, Fernando, Fichter, Manfred M, Fischer, Krista, Föcker, Manuel, Foretova, Lenka, Forstner, Andreas J, Forzan, Monica, Franklin, Christopher S, Gallinger, Steven, Giegling, Ina, Giuranna, Johanna, Gonidakis, Fragiskos, Gorwood, Philip, Mayora, Monica Gratacos, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Hatzikotoulas, Konstantinos, Hauser, Joanna, Hebebrand, Johannes, Helder, Sietske G, Herms, Stefan, Herpertz‐Dahlmann, Beate, Herzog, Wolfgang, Huckins, Laura M, Hudson, James I, Imgart, Hartmut, Inoko, Hidetoshi, Janout, Vladimir, Jiménez‐Murcia, Susana, Julià, Antonio, Kalsi, Gursharan, Kaminská, Deborah, Karhunen, Leila, Karwautz, Andreas, Kas, Martien JH, Kennedy, James L, Keski‐Rahkonen, Anna, Kiezebrink, Kirsty, Kim, Youl‐Ri, Klump, Kelly L, Knudsen, Gun Peggy S, and La Via, Maria C

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Epidemiology, Health Sciences, Psychology, Pharmacology and Pharmaceutical Sciences, Nutrition, Brain Disorders, Alcoholism, Alcohol Use and Health, Mental Health, Eating Disorders, Substance Misuse, Genetics, Tobacco Smoke and Health, Tobacco, Human Genome, Drug Abuse (NIDA only), Prevention, Clinical Research, 2.1 Biological and endogenous factors, 2.3 Psychological, social and economic factors, Aetiology, Mental health, Good Health and Well Being, Alcoholism, Depressive Disorder, Major, Feeding and Eating Disorders, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Schizophrenia, Substance-Related Disorders, Tobacco Use Disorder, eating disorders, genetic correlation, substance use, Medical and Health Sciences, Psychology and Cognitive Sciences, Substance Abuse, Biomedical and clinical sciences, Health sciences
Abstract

Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [rg ], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (rg = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (rg = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (rgs = -0.19 to -0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotypes highlights the potentially complex and substance-specific relationships among these behaviors.

Published
2021

19. Intraductal Transplantation Models of Human Pancreatic Ductal Adenocarcinoma Reveal Progressive Transition of Molecular Subtypes

Author

Miyabayashi, Koji, Baker, Lindsey A, Deschênes, Astrid, Traub, Benno, Caligiuri, Giuseppina, Plenker, Dennis, Alagesan, Brinda, Belleau, Pascal, Li, Siran, Kendall, Jude, Jang, Gun Ho, Kawaguchi, Risa Karakida, Somerville, Tim DD, Tiriac, Hervé, Hwang, Chang-Il, Burkhart, Richard A, Roberts, Nicholas J, Wood, Laura D, Hruban, Ralph H, Gillis, Jesse, Krasnitz, Alexander, Vakoc, Christopher R, Wigler, Michael, Notta, Faiyaz, Gallinger, Steven, Park, Youngkyu, and Tuveson, David A

Subjects
Rare Diseases, Clinical Research, Cancer, Pancreatic Cancer, Digestive Diseases, 2.1 Biological and endogenous factors, Aetiology, Adenocarcinoma, Animals, Carcinoma, Pancreatic Ductal, Disease Models, Animal, Gene Expression Regulation, Neoplastic, Humans, Mice, Pancreatic Ducts, Prognosis, Oncology and Carcinogenesis
Abstract

Pancreatic ductal adenocarcinoma (PDAC) is the most lethal common malignancy, with little improvement in patient outcomes over the past decades. Recently, subtypes of pancreatic cancer with different prognoses have been elaborated; however, the inability to model these subtypes has precluded mechanistic investigation of their origins. Here, we present a xenotransplantation model of PDAC in which neoplasms originate from patient-derived organoids injected directly into murine pancreatic ducts. Our model enables distinction of the two main PDAC subtypes: intraepithelial neoplasms from this model progress in an indolent or invasive manner representing the classical or basal-like subtypes of PDAC, respectively. Parameters that influence PDAC subtype specification in this intraductal model include cell plasticity and hyperactivation of the RAS pathway. Finally, through intratumoral dissection and the direct manipulation of RAS gene dosage, we identify a suite of RAS-regulated secreted and membrane-bound proteins that may represent potential candidates for therapeutic intervention in patients with PDAC. SIGNIFICANCE: Accurate modeling of the molecular subtypes of pancreatic cancer is crucial to facilitate the generation of effective therapies. We report the development of an intraductal organoid transplantation model of pancreatic cancer that models the progressive switching of subtypes, and identify stochastic and RAS-driven mechanisms that determine subtype specification.See related commentary by Pickering and Morton, p. 1448.This article is highlighted in the In This Issue feature, p. 1426.

Published
2020

20. Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images

Author

Zhang, Yucheng, Lobo-Mueller, Edrise M., Karanicolas, Paul, Gallinger, Steven, Haider, Masoom A., and Khalvati, Farzad

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grown rapidly in the past a few years. Recent studies in radiomics aim to investigate the relationship between tumors imaging features and clinical outcomes. Open source radiomics feature banks enable the extraction and analysis of thousands of predefined features. On the other hand, recent advances in deep learning have shown significant potential in the quantitative medical imaging field, raising the research question of whether predefined radiomics features have predictive information in addition to deep learning features. In this study, we propose a feature fusion method and investigate whether a combined feature bank of deep learning and predefined radiomics features can improve the prognostics performance. CT images from resectable Pancreatic Adenocarcinoma (PDAC) patients were used to compare the prognosis performance of common feature reduction and fusion methods and the proposed risk-score based feature fusion method for overall survival. It was shown that the proposed feature fusion method significantly improves the prognosis performance for overall survival in resectable PDAC cohorts, elevating the area under ROC curve by 51% compared to predefined radiomics features alone, by 16% compared to deep learning features alone, and by 32% compared to existing feature fusion and reduction methods for a combination of deep learning and predefined radiomics features.

Published
2019

21. CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging

Author

Zhang, Yucheng, Lobo-Mueller, Edrise M., Karanicolas, Paul, Gallinger, Steven, Haider, Masoom A., and Khalvati, Farzad

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Cox proportional hazard model (CPH) is commonly used in clinical research for survival analysis. In quantitative medical imaging (radiomics) studies, CPH plays an important role in feature reduction and modeling. However, the underlying linear assumption of CPH model limits the prognostic performance. In addition, the multicollinearity of radiomic features and multiple testing problem further impedes the CPH models performance. In this work, using transfer learning, a convolutional neural network (CNN) based survival model was built and tested on preoperative CT images of resectable Pancreatic Ductal Adenocarcinoma (PDAC) patients. The proposed CNN-based survival model outperformed the traditional CPH-based radiomics approach in terms of concordance index by 22%, providing a better fit for patients' survival patterns. The proposed CNN-based survival model outperforms CPH-based radiomics pipeline in PDAC prognosis. This approach offers a better fit for survival patterns based on CT images and overcomes the limitations of conventional survival models.

Published
2019

22. Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma

Author

Zhang, Yucheng, Lobo-Mueller, Edrise M., Karanicolas, Paul, Gallinger, Steven, Haider, Masoom A., and Khalvati, Farzad

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Pancreatic Ductal Adenocarcinoma (PDAC) is one of the most aggressive cancers with an extremely poor prognosis. Radiomics has shown prognostic ability in multiple types of cancer including PDAC. However, the prognostic value of traditional radiomics pipelines, which are based on hand-crafted radiomic features alone is limited. Convolutional neural networks (CNNs) have been shown to outperform these feature-based models in computer vision tasks. However, training a CNN from scratch needs a large sample size which is not feasible in most medical imaging studies. As an alternative solution, CNN-based transfer learning has shown potential for achieving reasonable performance using small datasets. In this work, we developed and validated a CNN-based transfer learning approach for prognostication of PDAC patients for overall survival using two independent resectable PDAC cohorts. The proposed deep transfer learning model for prognostication of PDAC achieved the area under the receiver operating characteristic curve of 0.74, which was significantly higher than that of the traditional radiomics model (0.56) as well as a CNN model trained from scratch (0.50). These results suggest that deep transfer learning may significantly improve prognosis performance using small datasets in medical imaging.

Published
2019

23. Mortality by age, gene and gender in carriers of pathogenic mismatch repair gene variants receiving surveillance for early cancer diagnosis and treatment: a report from the prospective Lynch syndrome database

Author

Dominguez-Valentin, Mev, Haupt, Saskia, Seppälä, Toni T., Sampson, Julian R., Sunde, Lone, Bernstein, Inge, Jenkins, Mark A., Engel, Christoph, Aretz, Stefan, Nielsen, Maartje, Capella, Gabriel, Balaguer, Francesc, Evans, Dafydd Gareth, Burn, John, Holinski-Feder, Elke, Bertario, Lucio, Bonanni, Bernardo, Lindblom, Annika, Levi, Zohar, Macrae, Finlay, Winship, Ingrid, Plazzer, John-Paul, Sijmons, Rolf, Laghi, Luigi, Della Valle, Adriana, Heinimann, Karl, Dębniak, Tadeusz, Fruscio, Robert, Lopez-Koestner, Francisco, Alvarez-Valenzuela, Karin, Katz, Lior H., Laish, Ido, Vainer, Elez, Vaccaro, Carlos, Carraro, Dirce Maria, Monahan, Kevin, Half, Elizabeth, Stakelum, Aine, Winter, Des, Kennelly, Rory, Gluck, Nathan, Sheth, Harsh, Abu-Freha, Naim, Greenblatt, Marc, Rossi, Benedito Mauro, Bohorquez, Mabel, Cavestro, Giulia Martina, Lino-Silva, Leonardo S., Horisberger, Karoline, Tibiletti, Maria Grazia, Nascimento, Ivana do, Thomas, Huw, Rossi, Norma Teresa, Apolinário da Silva, Leandro, Zaránd, Attila, Ruiz-Bañobre, Juan, Heuveline, Vincent, Mecklin, Jukka-Pekka, Pylvänäinen, Kirsi, Renkonen-Sinisalo, Laura, Lepistö, Anna, Peltomäki, Päivi, Therkildsen, Christina, Madsen, Mia Gebauer, Burgdorf, Stefan Kobbelgaard, Hopper, John L., Win, Aung Ko, Haile, Robert W., Lindor, Noralane, Gallinger, Steven, Le Marchand, Loïc, Newcomb, Polly A., Figueiredo, Jane, Buchanan, Daniel D., Thibodeau, Stephen N., von Knebel Doeberitz, Magnus, Loeffler, Markus, Rahner, Nils, Schröck, Evelin, Steinke-Lange, Verena, Schmiegel, Wolff, Vangala, Deepak, Perne, Claudia, Hüneburg, Robert, Redler, Silke, Büttner, Reinhard, Weitz, Jürgen, Pineda, Marta, Duenas, Nuria, Vidal, Joan Brunet, Moreira, Leticia, Sánchez, Ariadna, Hovig, Eivind, Nakken, Sigve, Green, Kate, Lalloo, Fiona, Hill, James, Crosbie, Emma, Mints, Miriam, Goldberg, Yael, Tjandra, Douglas, ten Broeke, Sanne W., Kariv, Revital, Rosner, Guy, Advani, Suresh H., Thomas, Lidiya, Shah, Pankaj, Shah, Mithun, Neffa, Florencia, Esperon, Patricia, Pavicic, Walter, Torrezan, Giovana Tardin, Bassaneze, Thiago, Martin, Claudia Alejandra, Moslein, Gabriela, and Moller, Pål

Published
2023
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24. Landscape of somatic single nucleotide variants and indels in colorectal cancer and impact on survival.

Author

Zaidi, Syed H, Harrison, Tabitha A, Phipps, Amanda I, Steinfelder, Robert, Trinh, Quang M, Qu, Conghui, Banbury, Barbara L, Georgeson, Peter, Grasso, Catherine S, Giannakis, Marios, Adams, Jeremy B, Alwers, Elizabeth, Amitay, Efrat L, Barfield, Richard T, Berndt, Sonja I, Borozan, Ivan, Brenner, Hermann, Brezina, Stefanie, Buchanan, Daniel D, Cao, Yin, Chan, Andrew T, Chang-Claude, Jenny, Connolly, Charles M, Drew, David A, Farris, Alton Brad, Figueiredo, Jane C, French, Amy J, Fuchs, Charles S, Garraway, Levi A, Gruber, Steve, Guinter, Mark A, Hamilton, Stanley R, Harlid, Sophia, Heisler, Lawrence E, Hidaka, Akihisa, Hopper, John L, Huang, Wen-Yi, Huyghe, Jeroen R, Jenkins, Mark A, Krzyzanowski, Paul M, Lemire, Mathieu, Lin, Yi, Luo, Xuemei, Mardis, Elaine R, McPherson, John D, Miller, Jessica K, Moreno, Victor, Mu, Xinmeng Jasmine, Nishihara, Reiko, Papadopoulos, Nickolas, Pasternack, Danielle, Quist, Michael J, Rafikova, Adilya, Reid, Emma EG, Shinbrot, Eve, Shirts, Brian H, Stein, Lincoln D, Teney, Cherie D, Timms, Lee, Um, Caroline Y, Van Guelpen, Bethany, Van Tassel, Megan, Wang, Xiaolong, Wheeler, David A, Yung, Christina K, Hsu, Li, Ogino, Shuji, Gsur, Andrea, Newcomb, Polly A, Gallinger, Steven, Hoffmeister, Michael, Campbell, Peter T, Thibodeau, Stephen N, Sun, Wei, Hudson, Thomas J, and Peters, Ulrike

Abstract

Colorectal cancer (CRC) is a biologically heterogeneous disease. To characterize its mutational profile, we conduct targeted sequencing of 205 genes for 2,105 CRC cases with survival data. Our data shows several findings in addition to enhancing the existing knowledge of CRC. We identify PRKCI, SPZ1, MUTYH, MAP2K4, FETUB, and TGFBR2 as additional genes significantly mutated in CRC. We find that among hypermutated tumors, an increased mutation burden is associated with improved CRC-specific survival (HR = 0.42, 95% CI: 0.21-0.82). Mutations in TP53 are associated with poorer CRC-specific survival, which is most pronounced in cases carrying TP53 mutations with predicted 0% transcriptional activity (HR = 1.53, 95% CI: 1.21-1.94). Furthermore, we observe differences in mutational frequency of several genes and pathways by tumor location, stage, and sex. Overall, this large study provides deep insights into somatic mutations in CRC, and their potential relationships with survival and tumor features.

Published
2020

25. Potential impact of family history–based screening guidelines on the detection of early‐onset colorectal cancer

Author

Gupta, Samir, Bharti, Balambal, Ahnen, Dennis J, Buchanan, Daniel D, Cheng, Iona C, Cotterchio, Michelle, Figueiredo, Jane C, Gallinger, Steven J, Haile, Robert W, Jenkins, Mark A, Lindor, Noralane M, Macrae, Finlay A, Le Marchand, Loïc, Newcomb, Polly A, Thibodeau, Stephen N, Win, Aung Ko, and Martinez, Maria Elena

Subjects
Prevention, Cancer, Health Services, Digestive Diseases, Aging, Clinical Research, Colo-Rectal Cancer, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, 4.4 Population screening, Adult, Age Factors, Age of Onset, Case-Control Studies, Colorectal Neoplasms, Early Detection of Cancer, Family Health, Female, Humans, Male, Middle Aged, Practice Guidelines as Topic, Retrospective Studies, Sensitivity and Specificity, case-control study, family history, guidelines, sensitivity, specificity, young-onset colorectal cancer, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract

BackgroundInitiating screening at an earlier age based on cancer family history is one of the primary recommended strategies for the prevention and detection of early-onset colorectal cancer (EOCRC), but data supporting the effectiveness of this approach are limited. The authors assessed the performance of family history-based guidelines for identifying individuals with EOCRC.MethodsThe authors conducted a population-based, case-control study of individuals aged 40 to 49 years with (2473 individuals) and without (772 individuals) incident CRC in the Colon Cancer Family Registry from 1998 through 2007. They estimated the sensitivity and specificity of family history-based criteria jointly recommended by the American Cancer Society, the US Multi-Society Task Force on CRC, and the American College of Radiology in 2008 for early screening, and the age at which each participant could have been recommended screening initiation if these criteria had been applied.ResultsFamily history-based early screening criteria were met by approximately 25% of cases (614 of 2473 cases) and 10% of controls (74 of 772 controls), with a sensitivity of 25% and a specificity of 90% for identifying EOCRC cases aged 40 to 49 years. Among 614 individuals meeting early screening criteria, 98.4% could have been recommended screening initiation at an age younger than the observed age of diagnosis.ConclusionsOf CRC cases aged 40 to 49 years, 1 in 4 met family history-based early screening criteria, and nearly all cases who met these criteria could have had CRC diagnosed earlier (or possibly even prevented) if earlier screening had been implemented as per family history-based guidelines. Additional strategies are needed to improve the detection and prevention of EOCRC for individuals not meeting family history criteria for early screening.

Published
2020

26. Functional informed genome‐wide interaction analysis of body mass index, diabetes and colorectal cancer risk

Author

Xia, Zhiyu, Su, Yu‐Ru, Petersen, Paneen, Qi, Lihong, Kim, Andre E, Figueiredo, Jane C, Lin, Yi, Nan, Hongmei, Sakoda, Lori C, Albanes, Demetrius, Berndt, Sonja I, Bézieau, Stéphane, Bien, Stephanie, Buchanan, Daniel D, Casey, Graham, Chan, Andrew T, Conti, David V, Drew, David A, Gallinger, Steven J, Gauderman, W James, Giles, Graham G, Gruber, Stephen B, Gunter, Marc J, Hoffmeister, Michael, Jenkins, Mark A, Joshi, Amit D, Le Marchand, Loic, Lewinger, Juan P, Li, Li, Lindor, Noralane M, Moreno, Victor, Murphy, Neil, Nassir, Rami, Newcomb, Polly A, Ogino, Shuji, Rennert, Gad, Song, Mingyang, Wang, Xiaoliang, Wolk, Alicja, Woods, Michael O, Brenner, Hermann, White, Emily, Slattery, Martha L, Giovannucci, Edward L, Chang‐Claude, Jenny, Pharoah, Paul DP, Hsu, Li, Campbell, Peter T, and Peters, Ulrike

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Digestive Diseases, Human Genome, Genetics, Cancer, Diabetes, Prevention, Nutrition, Colo-Rectal Cancer, Metabolic and endocrine, ATPases Associated with Diverse Cellular Activities, Aged, Body Mass Index, Colorectal Neoplasms, Databases, Genetic, Diabetes Mellitus, Type 2, Female, Gene Expression, Genotype, Hepatocyte Nuclear Factor 3-alpha, Humans, Male, Microtubule-Associated Proteins, Middle Aged, Obesity, Phenotype, Proteasome Endopeptidase Complex, Protein Tyrosine Phosphatase, Non-Receptor Type 2, Sex Factors, Sialic Acid Binding Ig-like Lectin 3, Voltage-Gated Sodium Channel beta-1 Subunit, BMI, colorectal cancer, diabetes, gene expression, gene-environmental interaction, Biochemistry and Cell Biology, Oncology and carcinogenesis
Abstract

BackgroundBody mass index (BMI) and diabetes are established risk factors for colorectal cancer (CRC), likely through perturbations in metabolic traits (e.g. insulin resistance and glucose homeostasis). Identification of interactions between variation in genes and these metabolic risk factors may identify novel biologic insights into CRC etiology.MethodsTo improve statistical power and interpretation for gene-environment interaction (G × E) testing, we tested genetic variants that regulate expression of a gene together for interaction with BMI (kg/m2 ) and diabetes on CRC risk among 26 017 cases and 20 692 controls. Each variant was weighted based on PrediXcan analysis of gene expression data from colon tissue generated in the Genotype-Tissue Expression Project for all genes with heritability ≥1%. We used a mixed-effects model to jointly measure the G × E interaction in a gene by partitioning the interactions into the predicted gene expression levels (fixed effects), and residual G × E effects (random effects). G × BMI analyses were stratified by sex as BMI-CRC associations differ by sex. We used false discovery rates to account for multiple comparisons and reported all results with FDR

Published
2020

27. Combined burden and functional impact tests for cancer driver discovery using DriverPower

Author

Shuai, Shimin, Gallinger, Steven, and Stein, Lincoln D

Subjects
Human Genome, Genetics, Cancer, Good Health and Well Being, Algorithms, Genome, Human, Genomics, Humans, MEF2 Transcription Factors, Mutation, Mutation Rate, Neoplasms, Peptide Elongation Factor 1, Receptors, G-Protein-Coupled, Software, Whole Genome Sequencing, PCAWG Drivers and Functional Interpretation Working Group, PCAWG Consortium
Abstract

The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify driver mutations in coding and non-coding sites within cancer whole genomes. Using a total of 1373 genomic features derived from public sources, DriverPower's background mutation model explains up to 93% of the regional variance in the mutation rate across multiple tumour types. By incorporating functional impact scores, we are able to further increase the accuracy of driver discovery. Testing across a collection of 2583 cancer genomes from the PCAWG project, DriverPower identifies 217 coding and 95 non-coding driver candidates. Comparing to six published methods used by the PCAWG Drivers and Functional Interpretation Working Group, DriverPower has the highest F1 score for both coding and non-coding driver discovery. This demonstrates that DriverPower is an effective framework for computational driver discovery.

Published
2020

30. Publisher Correction: Shared heritability and functional enrichment across six solid cancers.

Author

Jiang, Xia, Finucane, Hilary K, Schumacher, Fredrick R, Schmit, Stephanie L, Tyrer, Jonathan P, Han, Younghun, Michailidou, Kyriaki, Lesseur, Corina, Kuchenbaecker, Karoline B, Dennis, Joe, Conti, David V, Casey, Graham, Gaudet, Mia M, Huyghe, Jeroen R, Albanes, Demetrius, Aldrich, Melinda C, Andrew, Angeline S, Andrulis, Irene L, Anton-Culver, Hoda, Antoniou, Antonis C, Antonenkova, Natalia N, Arnold, Susanne M, Aronson, Kristan J, Arun, Banu K, Bandera, Elisa V, Barkardottir, Rosa B, Barnes, Daniel R, Batra, Jyotsna, Beckmann, Matthias W, Benitez, Javier, Benlloch, Sara, Berchuck, Andrew, Berndt, Sonja I, Bickeböller, Heike, Bien, Stephanie A, Blomqvist, Carl, Boccia, Stefania, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Brauch, Hiltrud, Brenner, Hermann, Brenton, James D, Brook, Mark N, Brunet, Joan, Brunnström, Hans, Buchanan, Daniel D, Burwinkel, Barbara, Butzow, Ralf, Cadoni, Gabriella, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Campbell, Peter T, Cancel-Tassin, Géraldine, Cannon-Albright, Lisa, Campa, Daniele, Caporaso, Neil, Carvalho, André L, Chan, Andrew T, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Chu, Christiani, David C, Claes, Kathleen BM, Claessens, Frank, Clements, Judith, Collée, J Margriet, Correa, Marcia Cruz, Couch, Fergus J, Cox, Angela, Cunningham, Julie M, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, deFazio, Anna, Devilee, Peter, Diez, Orland, Gago-Dominguez, Manuela, Donovan, Jenny L, Dörk, Thilo, Duell, Eric J, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Edlund, Christopher K, Edwards, Digna R Velez, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Ferris, Robert L, Liloglou, Triantafillos, Figueiredo, Jane C, Fletcher, Olivia, Fortner, Renée T, Fostira, Florentia, Franceschi, Silvia, Friedman, Eitan, Gallinger, Steven J, and Ganz, Patricia A

Subjects
MD Multidisciplinary
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2019

31. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa

Author

Watson, Hunna J, Yilmaz, Zeynep, Thornton, Laura M, Hübel, Christopher, Coleman, Jonathan RI, Gaspar, Héléna A, Bryois, Julien, Hinney, Anke, Leppä, Virpi M, Mattheisen, Manuel, Medland, Sarah E, Ripke, Stephan, Yao, Shuyang, Giusti-Rodríguez, Paola, Hanscombe, Ken B, Purves, Kirstin L, Adan, Roger AH, Alfredsson, Lars, Ando, Tetsuya, Andreassen, Ole A, Baker, Jessica H, Berrettini, Wade H, Boehm, Ilka, Boni, Claudette, Perica, Vesna Boraska, Buehren, Katharina, Burghardt, Roland, Cassina, Matteo, Cichon, Sven, Clementi, Maurizio, Cone, Roger D, Courtet, Philippe, Crow, Scott, Crowley, James J, Danner, Unna N, Davis, Oliver SP, de Zwaan, Martina, Dedoussis, George, Degortes, Daniela, DeSocio, Janiece E, Dick, Danielle M, Dikeos, Dimitris, Dina, Christian, Dmitrzak-Weglarz, Monika, Docampo, Elisa, Duncan, Laramie E, Egberts, Karin, Ehrlich, Stefan, Escaramís, Geòrgia, Esko, Tõnu, Estivill, Xavier, Farmer, Anne, Favaro, Angela, Fernández-Aranda, Fernando, Fichter, Manfred M, Fischer, Krista, Föcker, Manuel, Foretova, Lenka, Forstner, Andreas J, Forzan, Monica, Franklin, Christopher S, Gallinger, Steven, Giegling, Ina, Giuranna, Johanna, Gonidakis, Fragiskos, Gorwood, Philip, Mayora, Monica Gratacos, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Hatzikotoulas, Konstantinos, Hauser, Joanna, Hebebrand, Johannes, Helder, Sietske G, Herms, Stefan, Herpertz-Dahlmann, Beate, Herzog, Wolfgang, Huckins, Laura M, Hudson, James I, Imgart, Hartmut, Inoko, Hidetoshi, Janout, Vladimir, Jiménez-Murcia, Susana, Julià, Antonio, Kalsi, Gursharan, Kaminská, Deborah, Kaprio, Jaakko, Karhunen, Leila, Karwautz, Andreas, Kas, Martien JH, Kennedy, James L, Keski-Rahkonen, Anna, Kiezebrink, Kirsty, Kim, Youl-Ri, Klareskog, Lars, Klump, Kelly L, Knudsen, Gun Peggy S, La Via, Maria C, Le Hellard, Stephanie, and Levitan, Robert D

Subjects
Biological Sciences, Genetics, Anorexia, Serious Mental Illness, Nutrition, Prevention, Mental Health, Clinical Research, Human Genome, Brain Disorders, Pediatric, Eating Disorders, Mental health, Adult, Anorexia Nervosa, Body Mass Index, Case-Control Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Male, Mental Disorders, Metabolic Diseases, Phenotype, Prognosis, Quantitative Trait Loci, Anorexia Nervosa Genetics Initiative, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Characterized primarily by a low body-mass index, anorexia nervosa is a complex and serious illness1, affecting 0.9-4% of women and 0.3% of men2-4, with twin-based heritability estimates of 50-60%5. Mortality rates are higher than those in other psychiatric disorders6, and outcomes are unacceptably poor7. Here we combine data from the Anorexia Nervosa Genetics Initiative (ANGI)8,9 and the Eating Disorders Working Group of the Psychiatric Genomics Consortium (PGC-ED) and conduct a genome-wide association study of 16,992 cases of anorexia nervosa and 55,525 controls, identifying eight significant loci. The genetic architecture of anorexia nervosa mirrors its clinical presentation, showing significant genetic correlations with psychiatric disorders, physical activity, and metabolic (including glycemic), lipid and anthropometric traits, independent of the effects of common variants associated with body-mass index. These results further encourage a reconceptualization of anorexia nervosa as a metabo-psychiatric disorder. Elucidating the metabolic component is a critical direction for future research, and paying attention to both psychiatric and metabolic components may be key to improving outcomes.

Published
2019

32. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

Author

Schmit, Stephanie L, Edlund, Christopher K, Schumacher, Fredrick R, Gong, Jian, Harrison, Tabitha A, Huyghe, Jeroen R, Qu, Chenxu, Melas, Marilena, Van Den Berg, David J, Wang, Hansong, Tring, Stephanie, Plummer, Sarah J, Albanes, Demetrius, Alonso, M Henar, Amos, Christopher I, Anton, Kristen, Aragaki, Aaron K, Arndt, Volker, Barry, Elizabeth L, Berndt, Sonja I, Bezieau, Stéphane, Bien, Stephanie, Bloomer, Amanda, Boehm, Juergen, Boutron-Ruault, Marie-Christine, Brenner, Hermann, Brezina, Stefanie, Buchanan, Daniel D, Butterbach, Katja, Caan, Bette J, Campbell, Peter T, Carlson, Christopher S, Castelao, Jose E, Chan, Andrew T, Chang-Claude, Jenny, Chanock, Stephen J, Cheng, Iona, Cheng, Ya-Wen, Chin, Lee Soo, Church, James M, Church, Timothy, Coetzee, Gerhard A, Cotterchio, Michelle, Correa, Marcia Cruz, Curtis, Keith R, Duggan, David, Easton, Douglas F, English, Dallas, Feskens, Edith JM, Fischer, Rocky, FitzGerald, Liesel M, Fortini, Barbara K, Fritsche, Lars G, Fuchs, Charles S, Gago-Dominguez, Manuela, Gala, Manish, Gallinger, Steven J, Gauderman, W James, Giles, Graham G, Giovannucci, Edward L, Gogarten, Stephanie M, Gonzalez-Villalpando, Clicerio, Gonzalez-Villalpando, Elena M, Grady, William M, Greenson, Joel K, Gsur, Andrea, Gunter, Marc, Haiman, Christopher A, Hampe, Jochen, Harlid, Sophia, Harju, John F, Hayes, Richard B, Hofer, Philipp, Hoffmeister, Michael, Hopper, John L, Huang, Shu-Chen, Huerta, Jose Maria, Hudson, Thomas J, Hunter, David J, Idos, Gregory E, Iwasaki, Motoki, Jackson, Rebecca D, Jacobs, Eric J, Jee, Sun Ha, Jenkins, Mark A, Jia, Wei-Hua, Jiao, Shuo, Joshi, Amit D, Kolonel, Laurence N, Kono, Suminori, Kooperberg, Charles, Krogh, Vittorio, Kuehn, Tilman, Küry, Sébastien, LaCroix, Andrea, Laurie, Cecelia A, Lejbkowicz, Flavio, Lemire, Mathieu, Lenz, Heinz-Josef, and Levine, David

Subjects
Prevention, Cancer, Digestive Diseases, Human Genome, Genetics, Clinical Research, Colo-Rectal Cancer, Aetiology, 2.1 Biological and endogenous factors, Case-Control Studies, Colorectal Neoplasms, Ethnicity, Follow-Up Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Prognosis, United States, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundPrevious genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10-8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk.MethodsWe conducted a GWAS in European descent CRC cases and control subjects using a discovery-replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10-8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided.ResultsThe discovery GWAS identified 11 variants associated with CRC at P < 5 × 10-8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0.ConclusionsThis study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening.

Published
2019

33. Shared heritability and functional enrichment across six solid cancers.

Author

Jiang, Xia, Finucane, Hilary K, Schumacher, Fredrick R, Schmit, Stephanie L, Tyrer, Jonathan P, Han, Younghun, Michailidou, Kyriaki, Lesseur, Corina, Kuchenbaecker, Karoline B, Dennis, Joe, Conti, David V, Casey, Graham, Gaudet, Mia M, Huyghe, Jeroen R, Albanes, Demetrius, Aldrich, Melinda C, Andrew, Angeline S, Andrulis, Irene L, Anton-Culver, Hoda, Antoniou, Antonis C, Antonenkova, Natalia N, Arnold, Susanne M, Aronson, Kristan J, Arun, Banu K, Bandera, Elisa V, Barkardottir, Rosa B, Barnes, Daniel R, Batra, Jyotsna, Beckmann, Matthias W, Benitez, Javier, Benlloch, Sara, Berchuck, Andrew, Berndt, Sonja I, Bickeböller, Heike, Bien, Stephanie A, Blomqvist, Carl, Boccia, Stefania, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Brauch, Hiltrud, Brenner, Hermann, Brenton, James D, Brook, Mark N, Brunet, Joan, Brunnström, Hans, Buchanan, Daniel D, Burwinkel, Barbara, Butzow, Ralf, Cadoni, Gabriella, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Campbell, Peter T, Cancel-Tassin, Géraldine, Cannon-Albright, Lisa, Campa, Daniele, Caporaso, Neil, Carvalho, André L, Chan, Andrew T, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Chu, Christiani, David C, Claes, Kathleen BM, Claessens, Frank, Clements, Judith, Collée, J Margriet, Correa, Marcia Cruz, Couch, Fergus J, Cox, Angela, Cunningham, Julie M, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, deFazio, Anna, Devilee, Peter, Diez, Orland, Gago-Dominguez, Manuela, Donovan, Jenny L, Dörk, Thilo, Duell, Eric J, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Edlund, Christopher K, Edwards, Digna R Velez, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Ferris, Robert L, Liloglou, Triantafillos, Figueiredo, Jane C, Fletcher, Olivia, Fortner, Renée T, Fostira, Florentia, Franceschi, Silvia, Friedman, Eitan, Gallinger, Steven J, and Ganz, Patricia A

Subjects
Humans, Breast Neoplasms, Colorectal Neoplasms, Ovarian Neoplasms, Head and Neck Neoplasms, Lung Neoplasms, Prostatic Neoplasms, Genetic Predisposition to Disease, Neoplasm Proteins, Case-Control Studies, Smoking, Mental Disorders, Inheritance Patterns, Phenotype, Polymorphism, Single Nucleotide, European Continental Ancestry Group, Female, Male, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Prevention, Cancer, Breast Cancer, Genetics, Rare Diseases, Lung Cancer, Human Genome, Colo-Rectal Cancer, Digestive Diseases, Lung, MD Multidisciplinary
Abstract

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10-8), breast and ovarian cancer (rg = 0.24, p = 7 × 10-5), breast and lung cancer (rg = 0.18, p =1.5 × 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.

Published
2019

35. Identifying colorectal cancer caused by biallelic MUTYH pathogenic variants using tumor mutational signatures

Author

Georgeson, Peter, Harrison, Tabitha A., Pope, Bernard J., Zaidi, Syed H., Qu, Conghui, Steinfelder, Robert S., Lin, Yi, Joo, Jihoon E., Mahmood, Khalid, Clendenning, Mark, Walker, Romy, Amitay, Efrat L., Berndt, Sonja I., Brenner, Hermann, Campbell, Peter T., Cao, Yin, Chan, Andrew T., Chang-Claude, Jenny, Doheny, Kimberly F., Drew, David A., Figueiredo, Jane C., French, Amy J., Gallinger, Steven, Giannakis, Marios, Giles, Graham G., Gsur, Andrea, Gunter, Marc J., Hoffmeister, Michael, Hsu, Li, Huang, Wen-Yi, Limburg, Paul, Manson, JoAnn E., Moreno, Victor, Nassir, Rami, Nowak, Jonathan A., Obón-Santacana, Mireia, Ogino, Shuji, Phipps, Amanda I., Potter, John D., Schoen, Robert E., Sun, Wei, Toland, Amanda E., Trinh, Quang M., Ugai, Tomotaka, Macrae, Finlay A., Rosty, Christophe, Hudson, Thomas J., Jenkins, Mark A., Thibodeau, Stephen N., Winship, Ingrid M., Peters, Ulrike, and Buchanan, Daniel D.

Published
2022
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36. Association between germline variants and somatic mutations in colorectal cancer

Author

Barfield, Richard, Qu, Conghui, Steinfelder, Robert S., Zeng, Chenjie, Harrison, Tabitha A., Brezina, Stefanie, Buchanan, Daniel D., Campbell, Peter T., Casey, Graham, Gallinger, Steven, Giannakis, Marios, Gruber, Stephen B., Gsur, Andrea, Hsu, Li, Huyghe, Jeroen R., Moreno, Victor, Newcomb, Polly A., Ogino, Shuji, Phipps, Amanda I., Slattery, Martha L., Thibodeau, Stephen N., Trinh, Quang M., Toland, Amanda E., Hudson, Thomas J., Sun, Wei, Zaidi, Syed H., and Peters, Ulrike

Published
2022
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37. Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk

Author

Haas, Cameron B., Su, Yu-Ru, Petersen, Paneen, Wang, Xiaoliang, Bien, Stephanie A., Lin, Yi, Albanes, Demetrius, Weinstein, Stephanie J., Jenkins, Mark A., Figueiredo, Jane C., Newcomb, Polly A., Casey, Graham, Le Marchand, Loic, Campbell, Peter T., Moreno, Victor, Potter, John D., Sakoda, Lori C., Slattery, Martha L., Chan, Andrew T., Li, Li, Giles, Graham G., Milne, Roger L., Gruber, Stephen B., Rennert, Gad, Woods, Michael O., Gallinger, Steven J., Berndt, Sonja, Hayes, Richard B., Huang, Wen-Yi, Wolk, Alicja, White, Emily, Nan, Hongmei, Nassir, Rami, Lindor, Noralane M., Lewinger, Juan P., Kim, Andre E., Conti, David, Gauderman, W. James, Buchanan, Daniel D., Peters, Ulrike, and Hsu, Li

Published
2022
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38. Colorectal cancer incidences in Lynch syndrome: a comparison of results from the prospective lynch syndrome database and the international mismatch repair consortium

Author

Møller, Pål, Seppälä, Toni, Dowty, James G., Haupt, Saskia, Dominguez-Valentin, Mev, Sunde, Lone, Bernstein, Inge, Engel, Christoph, Aretz, Stefan, Nielsen, Maartje, Capella, Gabriel, Evans, Dafydd Gareth, Burn, John, Holinski-Feder, Elke, Bertario, Lucio, Bonanni, Bernardo, Lindblom, Annika, Levi, Zohar, Macrae, Finlay, Winship, Ingrid, Plazzer, John-Paul, Sijmons, Rolf, Laghi, Luigi, Valle, Adriana Della, Heinimann, Karl, Half, Elizabeth, Lopez-Koestner, Francisco, Alvarez-Valenzuela, Karin, Scott, Rodney J., Katz, Lior, Laish, Ido, Vainer, Elez, Vaccaro, Carlos Alberto, Carraro, Dirce Maria, Gluck, Nathan, Abu-Freha, Naim, Stakelum, Aine, Kennelly, Rory, Winter, Des, Rossi, Benedito Mauro, Greenblatt, Marc, Bohorquez, Mabel, Sheth, Harsh, Tibiletti, Maria Grazia, Lino-Silva, Leonardo S., Horisberger, Karoline, Portenkirchner, Carmen, Nascimento, Ivana, Rossi, Norma Teresa, da Silva, Leandro Apolinário, Thomas, Huw, Zaránd, Attila, Mecklin, Jukka-Pekka, Pylvänäinen, Kirsi, Renkonen-Sinisalo, Laura, Lepisto, Anna, Peltomäki, Päivi, Therkildsen, Christina, Lindberg, Lars Joachim, Thorlacius-Ussing, Ole, von Knebel Doeberitz, Magnus, Loeffler, Markus, Rahner, Nils, Steinke-Lange, Verena, Schmiegel, Wolff, Vangala, Deepak, Perne, Claudia, Hüneburg, Robert, de Vargas, Aída Falcón, Latchford, Andrew, Gerdes, Anne-Marie, Backman, Ann-Sofie, Guillén-Ponce, Carmen, Snyder, Carrie, Lautrup, Charlotte K., Amor, David, Palmero, Edenir, Stoffel, Elena, Duijkers, Floor, Hall, Michael J., Hampel, Heather, Williams, Heinric, Okkels, Henrik, Lubiński, Jan, Reece, Jeanette, Ngeow, Joanne, Guillem, Jose G., Arnold, Julie, Wadt, Karin, Monahan, Kevin, Senter, Leigha, Rasmussen, Lene J., van Hest, Liselotte P., Ricciardiello, Luigi, Kohonen-Corish, Maija R. J., Ligtenberg, Marjolijn J. L., Southey, Melissa, Aronson, Melyssa, Zahary, Mohd N., Samadder, N. Jewel, Poplawski, Nicola, Hoogerbrugge, Nicoline, Morrison, Patrick J., James, Paul, Lee, Grant, Chen-Shtoyerman, Rakefet, Ankathil, Ravindran, Pai, Rish, Ward, Robyn, Parry, Susan, Dębniak, Tadeusz, John, Thomas, van Overeem Hansen, Thomas, Caldés, Trinidad, Yamaguchi, Tatsuro, Barca-Tierno, Verónica, Garre, Pilar, Cavestro, Giulia Martina, Weitz, Jürgen, Redler, Silke, Büttner, Reinhard, Heuveline, Vincent, Hopper, John L., Win, Aung Ko, Lindor, Noralane, Gallinger, Steven, Le Marchand, Loïc, Newcomb, Polly A., Figueiredo, Jane, Buchanan, Daniel D., Thibodeau, Stephen N., ten Broeke, Sanne W., Hovig, Eivind, Nakken, Sigve, Pineda, Marta, Dueñas, Nuria, Brunet, Joan, Green, Kate, Lalloo, Fiona, Newton, Katie, Crosbie, Emma J., Mints, Miriam, Tjandra, Douglas, Neffa, Florencia, Esperon, Patricia, Kariv, Revital, Rosner, Guy, Pavicic, Walter Hernán, Kalfayan, Pablo, Torrezan, Giovana Tardin, Bassaneze, Thiago, Martin, Claudia, Moslein, Gabriela, Ahadova, Aysel, Kloor, Matthias, Sampson, Julian R., and Jenkins, Mark A.

Published
2022
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39. Integrative analysis of KRAS wildtype metastatic pancreatic ductal adenocarcinoma reveals mutation and expression-based similarities to cholangiocarcinoma

Author

Topham, James T., Tsang, Erica S., Karasinska, Joanna M., Metcalfe, Andrew, Ali, Hassan, Kalloger, Steve E., Csizmok, Veronika, Williamson, Laura M., Titmuss, Emma, Nielsen, Karina, Negri, Gian Luca, Spencer Miko, Sandra E., Jang, Gun Ho, Denroche, Robert E., Wong, Hui-li, O’Kane, Grainne M., Moore, Richard A., Mungall, Andrew J., Loree, Jonathan M., Notta, Faiyaz, Wilson, Julie M., Bathe, Oliver F., Tang, Patricia A., Goodwin, Rachel, Morin, Gregg B., Knox, Jennifer J., Gallinger, Steven, Laskin, Janessa, Marra, Marco A., Jones, Steven J. M., Schaeffer, David F., and Renouf, Daniel J.

Published
2022
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41. Evaluating Multiple Next-Generation Sequencing–Derived Tumor Features to Accurately Predict DNA Mismatch Repair Status

Author

Walker, Romy, Georgeson, Peter, Mahmood, Khalid, Joo, Jihoon E., Makalic, Enes, Clendenning, Mark, Como, Julia, Preston, Susan, Joseland, Sharelle, Pope, Bernard J., Hutchinson, Ryan A., Kasem, Kais, Walsh, Michael D., Macrae, Finlay A., Win, Aung K., Hopper, John L., Mouradov, Dmitri, Gibbs, Peter, Sieber, Oliver M., O'Sullivan, Dylan E., Brenner, Darren R., Gallinger, Steven, Jenkins, Mark A., Rosty, Christophe, Winship, Ingrid M., and Buchanan, Daniel D.

Published
2022
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42. PATCH-DP: a single-arm phase II trial of intra-operative application of HEMOPATCH™ to the pancreatic stump to prevent post-operative pancreatic fistula following distal pancreatectomy

Author

Bubis, Lev D., Behman, Ramy, Roke, Rachel, Serrano, Pablo E., Khalil, Jad A., Coburn, Natalie G., Law, Calvin H., Bertens, Kimberly, Martel, Guillaume, Hallet, Julie, Marcaccio, Michael, Balaa, Fady, Quan, Douglas, Gallinger, Steven, Nanji, Sulaiman, Leslie, Ken, Tandan, Ved, Luo, Yigang, Beck, Gavin, Skaro, Anton, Dath, Deepak, Moser, Michael, and Karanicolas, Paul J.

Published
2022
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43. Molecular Characterization and Xenotransplantation of Pancreatic Cancer Using Endoscopic Ultrasound-Guided Fine Needle Aspiration (EUS-FNA).

Author

Antonova, Lilia, Paramanthan, Piriya, Falls, Theresa, Wedge, Marie-Eve, Mayer, Justin, Sekhon, Harman S., McPherson, John, Denroche, Robert E., Gallinger, Steven, Bell, John Cameron, Ilkow, Carolina S., and Chatterjee, Avijit

Subjects
RESEARCH funding, XENOGRAFTS, ENDOSCOPIC ultrasonography, TUMOR markers, PANCREATIC tumors, MICE, IMMUNOHISTOCHEMISTRY, CELL lines, NEEDLE biopsy, ANIMAL experimentation, GENE expression profiling, SEQUENCE analysis
Abstract

Simple Summary: Existing treatments for pancreatic cancer have limited effectiveness due to the genetic diversity between pancreatic tumors from different patients. By propagating the original tumor into a mouse (creating a xenograft) it may be possible to study each individual tumor further and plan personalized therapy. EUS-FNA is a technique which has recently become a routine method for obtaining a biopsy from a patient without the need for surgery. In this study, we tested whether EUS-FNA can also be used to obtain tumor tissue of sufficient volume and purity to establish a corresponding xenograft and to perform a genetic analysis. We found that in the majority of cases, both mouse xenografts and genetic analyses can be performed successfully. Xenograft tumors were found to maintain the characteristics and genetic expression from the original patient tumors and to be vulnerable to infection by a virus used to destroy cancer cells. Pancreatic cancer has one of the worst prognoses among all malignancies and few available treatment options. Patient-derived xenografts can be used to develop personalized therapy for pancreatic cancer. Endoscopic ultrasound fine-needle aspiration (EUS-FNA) may provide a powerful alternative to surgery for obtaining sufficient tissue for the establishment of patient-derived xenografts. In this study, EUS-FNA samples were obtained for 30 patients referred to the Ottawa Hospital, Ottawa, Ontario, Canada. These samples were used for xenotransplantation in NOD-SCID mice and for genetic analyses. The gene expression of pancreatic-cancer-relevant genes in xenograft tumors was examined by immunohistochemistry. Targeted sequencing of both the patient-derived tumors and xenograft tumors was performed. The xenografts' susceptibility to oncolytic virus infection was studied by infecting xenograft-derived cells with VSV∆51-GFP. The xenograft take rate was found to be 75.9% for passage 1 and 100% for passage 2. Eighty percent of patient tumor samples were successfully sequenced to a high depth for 42 cancer genes. Xenograft histological characteristics and marker expression were maintained between passages. All tested xenograft samples were susceptible to oncoviral infection. We found that EUS-FNA is an accessible, minimally invasive technique that can be used to acquire adequate pancreatic cancer tissue for the generation of patient-derived xenografts and for genetic sequencing. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Organoid Profiling Identifies Common Responders to Chemotherapy in Pancreatic Cancer.

Author

Tiriac, Hervé, Belleau, Pascal, Engle, Dannielle D, Plenker, Dennis, Deschênes, Astrid, Somerville, Tim DD, Froeling, Fieke EM, Burkhart, Richard A, Denroche, Robert E, Jang, Gun-Ho, Miyabayashi, Koji, Young, C Megan, Patel, Hardik, Ma, Michelle, LaComb, Joseph F, Palmaira, Randze Lerie D, Javed, Ammar A, Huynh, Jasmine C, Johnson, Molly, Arora, Kanika, Robine, Nicolas, Shah, Minita, Sanghvi, Rashesh, Goetz, Austin B, Lowder, Cinthya Y, Martello, Laura, Driehuis, Else, LeComte, Nicolas, Askan, Gokce, Iacobuzio-Donahue, Christine A, Clevers, Hans, Wood, Laura D, Hruban, Ralph H, Thompson, Elizabeth, Aguirre, Andrew J, Wolpin, Brian M, Sasson, Aaron, Kim, Joseph, Wu, Maoxin, Bucobo, Juan Carlos, Allen, Peter, Sejpal, Divyesh V, Nealon, William, Sullivan, James D, Winter, Jordan M, Gimotty, Phyllis A, Grem, Jean L, DiMaio, Dominick J, Buscaglia, Jonathan M, Grandgenett, Paul M, Brody, Jonathan R, Hollingsworth, Michael A, O'Kane, Grainne M, Notta, Faiyaz, Kim, Edward, Crawford, James M, Devoe, Craig, Ocean, Allyson, Wolfgang, Christopher L, Yu, Kenneth H, Li, Ellen, Vakoc, Christopher R, Hubert, Benjamin, Fischer, Sandra E, Wilson, Julie M, Moffitt, Richard, Knox, Jennifer, Krasnitz, Alexander, Gallinger, Steven, and Tuveson, David A

Subjects
Organoids, Tumor Cells, Cultured, Humans, Pancreatic Neoplasms, Antineoplastic Agents, Drug Screening Assays, Antitumor, Prospective Studies, Gene Expression Profiling, Sequence Analysis, RNA, Gene Expression Regulation, Neoplastic, Drug Resistance, Neoplasm, Gene Regulatory Networks, Molecular Targeted Therapy, Standard of Care, Precision Medicine, Genetics, Pancreatic Cancer, Rare Diseases, Digestive Diseases, Orphan Drug, Cancer, Detection, screening and diagnosis, Development of treatments and therapeutic interventions, 4.1 Discovery and preclinical testing of markers and technologies, 5.1 Pharmaceuticals, Good Health and Well Being, Oncology and Carcinogenesis
Abstract

Pancreatic cancer is the most lethal common solid malignancy. Systemic therapies are often ineffective, and predictive biomarkers to guide treatment are urgently needed. We generated a pancreatic cancer patient-derived organoid (PDO) library that recapitulates the mutational spectrum and transcriptional subtypes of primary pancreatic cancer. New driver oncogenes were nominated and transcriptomic analyses revealed unique clusters. PDOs exhibited heterogeneous responses to standard-of-care chemotherapeutics and investigational agents. In a case study manner, we found that PDO therapeutic profiles paralleled patient outcomes and that PDOs enabled longitudinal assessment of chemosensitivity and evaluation of synchronous metastases. We derived organoid-based gene expression signatures of chemosensitivity that predicted improved responses for many patients to chemotherapy in both the adjuvant and advanced disease settings. Finally, we nominated alternative treatment strategies for chemorefractory PDOs using targeted agent therapeutic profiling. We propose that combined molecular and therapeutic profiling of PDOs may predict clinical response and enable prospective therapeutic selection.Significance: New approaches to prioritize treatment strategies are urgently needed to improve survival and quality of life for patients with pancreatic cancer. Combined genomic, transcriptomic, and therapeutic profiling of PDOs can identify molecular and functional subtypes of pancreatic cancer, predict therapeutic responses, and facilitate precision medicine for patients with pancreatic cancer. Cancer Discov; 8(9); 1112-29. ©2018 AACR.See related commentary by Collisson, p. 1062This article is highlighted in the In This Issue feature, p. 1047.

Published
2018

46. Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer

Author

Neumeyer, Sonja, Banbury, Barbara L, Arndt, Volker, Berndt, Sonja I, Bezieau, Stephane, Bien, Stephanie A, Buchanan, Dan D, Butterbach, Katja, Caan, Bette J, Campbell, Peter T, Casey, Graham, Chan, Andrew T, Chanock, Stephen J, Dai, James Y, Gallinger, Steven, Giovannucci, Edward L, Giles, Graham G, Grady, William M, Hampe, Jochen, Hoffmeister, Michael, Hopper, John L, Hsu, Li, Jenkins, Mark A, Joshi, Amit, Larsson, Susanna C, Le Marchand, Loic, Lindblom, Annika, Moreno, Victor, Lemire, Mathieu, Li, Li, Lin, Yi, Offit, Kenneth, Newcomb, Polly A, Pharaoh, Paul D, Potter, John D, Qi, Lihong, Rennert, Gad, Schafmayer, Clemens, Schoen, Robert E, Slattery, Martha L, Song, Mingyang, Ulrich, Cornelia M, Win, Aung K, White, Emily, Wolk, Alicja, Woods, Michael O, Wu, Anna H, Gruber, Stephen B, Brenner, Hermann, Peters, Ulrike, and Chang-Claude, Jenny

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Estrogen, Genetics, Contraception/Reproduction, Prevention, Clinical Research, Colo-Rectal Cancer, Digestive Diseases, Cancer, Aging, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Age Factors, Case-Control Studies, Colorectal Neoplasms, Female, Genetic Predisposition to Disease, Humans, Logistic Models, Menarche, Mendelian Randomization Analysis, Menopause, Polymorphism, Single Nucleotide, Registries, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundSubstantial evidence supports an association between use of menopausal hormone therapy and decreased colorectal cancer (CRC) risk, indicating a role of exogenous sex hormones in CRC development. However, findings on endogenous oestrogen exposure and CRC are inconsistent.MethodsWe used a Mendelian randomisation approach to test for a causal effect of age at menarche and age at menopause as surrogates for endogenous oestrogen exposure on CRC risk. Weighted genetic risk scores based on 358 single-nucleotide polymorphisms associated with age at menarche and 51 single-nucleotide polymorphisms associated with age at menopause were used to estimate the association with CRC risk using logistic regression in 12,944 women diagnosed with CRC and 10,741 women without CRC from three consortia. Sensitivity analyses were conducted to address pleiotropy and possible confounding by body mass index.ResultsGenetic risk scores for age at menarche (odds ratio per year 0.98, 95% confidence interval: 0.95-1.02) and age at menopause (odds ratio 0.98, 95% confidence interval: 0.94-1.01) were not significantly associated with CRC risk. The sensitivity analyses yielded similar results.ConclusionsOur study does not support a causal relationship between genetic risk scores for age at menarche and age at menopause and CRC risk.

Published
2018

47. Symptom Severity and Quality of Life Among Long-term Colorectal Cancer Survivors Compared With Matched Control Subjects: A Population-Based Study.

Author

Hart, Tae, Charles, Susan, Gunaratne, Mekhala, Baxter, Nancy, Cotterchio, Michelle, Cohen, Zane, and Gallinger, Steven

Subjects
Adult, Aged, Canada, Cancer Survivors, Colorectal Neoplasms, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Quality of Life, Registries, Surveys and Questionnaires
Abstract

BACKGROUND: Data are lacking regarding physical functioning, psychological well-being, and quality of life among colorectal cancer survivors >10 years postdiagnosis. OBJECTIVE: The purpose of this study was to examine self-reported physical functioning, quality of life, and psychological well-being in long-term colorectal cancer survivors compared with age- and sex-matched unaffected control subjects. DESIGN: Participants completed a cross-sectional survey. SETTINGS: The colorectal cancer survivors and unaffected control subjects were recruited from the Ontario Familial Colorectal Cancer Registry. PATIENTS: A population-based sample of colorectal cancer survivors (N = 296) and their age- and sex-matched unaffected control subjects (N = 255) were included. Survivors were, on average, 15 years postdiagnosis. MAIN OUTCOME MEASURES: Quality of life was measured with the Functional Assessment of Cancer Therapy-General scale, bowel dysfunction with the Memorial Sloan-Kettering Cancer Center scale, urinary dysfunction with the International Consultation on Incontinence Questionnaire-Short Form, fatigue with the Functional Assessment of Chronic Illness Therapy-Fatigue scale, and depression with the Center for Epidemiologic Studies-Depression scale. RESULTS: In linear mixed-model analyses adjusting for income, education, race, and comorbid medical conditions, survivors reported good emotional, functional, physical, and overall quality of life, comparable to control subjects. Fatigue and urinary functioning did not differ significantly between survivors and control subjects. Survivors reported significantly higher social quality of life and lower depression compared with unaffected control subjects. The only area where survivors reported significantly worse deficits was in bowel dysfunction, but the magnitude of differences was relatively small. LIMITATIONS: Generalizability is limited by moderately low participation rates. Findings are likely biased toward healthy participants. No baseline assessment was available to examine change in outcomes over time. CONCLUSIONS: Long-term colorectal cancer survivors appear to have comparable quality of life and, in some areas, better well-being than their unaffected peers. Bowel dysfunction may continue to be an ongoing issue even 15 years after colorectal cancer diagnosis. Overall quality of life can be expected to be good in this group of older survivors. See Video Abstract at http://links.lww.com/DCR/A476.

Published
2018

48. Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects

Author

Guo, Xingyi, Lin, Weiqiang, Wen, Wanqing, Huyghe, Jeroen, Bien, Stephanie, Cai, Qiuyin, Harrison, Tabitha, Chen, Zhishan, Qu, Conghui, Bao, Jiandong, Long, Jirong, Yuan, Yuan, Wang, Fangqin, Bai, Mengqiu, Abecasis, Goncalo R., Albanes, Demetrius, Berndt, Sonja I., Bézieau, Stéphane, Bishop, D. Timothy, Brenner, Hermann, Buch, Stephan, Burnett-Hartman, Andrea, Campbell, Peter T., Castellví-Bel, Sergi, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Cho, Sang Hee, Conti, David V., Chapelle, Albert de la, Feskens, Edith J.M., Gallinger, Steven J., Giles, Graham G., Goodman, Phyllis J., Gsur, Andrea, Guinter, Mark, Gunter, Marc J., Hampe, Jochen, Hampel, Heather, Hayes, Richard B., Hoffmeister, Michael, Kampman, Ellen, Kang, Hyun Min, Keku, Temitope O., Kim, Hyeong Rok, Le Marchand, Loic, Lee, Soo Chin, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane, Milne, Roger L., Moreno, Victor, Murphy, Neil, Newcomb, Polly A., Nickerson, Deborah A., Offit, Kenneth, Pearlman, Rachel, Pharoah, Paul D.P., Platz, Elizabeth A., Potter, John D., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Schumacher, Fredrick R., Slattery, Martha L., Su, Yu-Ru, Tangen, Catherine M., Ulrich, Cornelia M., van Duijnhoven, Franzel J.B., Van Guelpen, Bethany, Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Wang, Xiaoliang, White, Emily, Wolk, Alicja, Woods, Michael O., Casey, Graham, Hsu, Li, Jenkins, Mark A., Gruber, Stephen B., Peters, Ulrike, and Zheng, Wei

Published
2021
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49. Significant Locus and Metabolic Genetic Correlations Revealed in Genome-Wide Association Study of Anorexia Nervosa

Author

Duncan, Laramie, Yilmaz, Zeynep, Gaspar, Helena, Walters, Raymond, Goldstein, Jackie, Anttila, Verneri, Bulik-Sullivan, Brendan, Ripke, Stephan, Thornton, Laura, Hinney, Anke, Daly, Mark, Sullivan, Patrick F, Zeggini, Eleftheria, Breen, Gerome, Bulik, Cynthia M, Gaspar, Héléna, Adan, Roger, Alfredsson, Lars, Ando, Tetsuya, Andreassen, Ole, Aschauer, Harald, Baker, Jessica, Barrett, Jeffrey, Bencko, Vladimir, Bergen, Andrew, Berrettini, Wade, Birgegård, Andreas, Boni, Claudette, Perica, Vesna Boraska, Brandt, Harry, Burghardt, Roland, Carlberg, Laura, Cassina, Matteo, Cesta, Carolyn, Cichon, Sven, Clementi, Maurizio, Cohen-Woods, Sarah, Coleman, Joni, Cone, Roger, Courtet, Philippe, Crawford, Steven, Crow, Scott, Crowley, Jim, Danner, Unna, Davis, Oliver, de Zwaan, Martina, Dedoussis, George, Degortes, Daniela, DeSocio, Janiece, Dick, Danielle, Dikeos, Dimitris, Dina, Christian, Ding, Bo, Dmitrzak-Weglarz, Monika, Docampo, Elisa, Egberts, Karin, Ehrlich, Stefan, Escaramís, Geòrgia, Esko, Tõnu, Espeseth, Thomas, Estivill, Xavier, Favaro, Angela, Fernández-Aranda, Fernando, Fichter, Manfred, Finan, Chris, Fischer, Krista, Floyd, James, Föcker, Manuel, Foretova, Lenka, Forzan, Monica, Fox, Caroline, Franklin, Christopher, Gaborieau, Valerie, Gallinger, Steven, Gambaro, Giovanni, Giegling, Ina, Gonidakis, Fragiskos, Gorwood, Philip, Gratacos, Monica, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Halmi, Katherine, Harrison, Rebecca, Hatzikotoulas, Konstantinos, Hauser, Joanna, Hebebrand, Johannes, Helder, Sietske, Hendriks, Judith, Herms, Stefan, Herpertz-Dahlmann, Beate, Herzog, Wolfgang, and Hilliard, Christopher

Subjects
Serious Mental Illness, Mental Health, Anorexia, Eating Disorders, Brain Disorders, Nutrition, Human Genome, Genetics, Prevention, Pediatric, Mental health, Anorexia Nervosa, Case-Control Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Phenotype, Polymorphism, Single Nucleotide, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Diabetes, GWAS, Metabolism, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveThe authors conducted a genome-wide association study of anorexia nervosa and calculated genetic correlations with a series of psychiatric, educational, and metabolic phenotypes.MethodFollowing uniform quality control and imputation procedures using the 1000 Genomes Project (phase 3) in 12 case-control cohorts comprising 3,495 anorexia nervosa cases and 10,982 controls, the authors performed standard association analysis followed by a meta-analysis across cohorts. Linkage disequilibrium score regression was used to calculate genome-wide common variant heritability (single-nucleotide polymorphism [SNP]-based heritability [h2SNP]), partitioned heritability, and genetic correlations (rg) between anorexia nervosa and 159 other phenotypes.ResultsResults were obtained for 10,641,224 SNPs and insertion-deletion variants with minor allele frequencies >1% and imputation quality scores >0.6. The h2SNP of anorexia nervosa was 0.20 (SE=0.02), suggesting that a substantial fraction of the twin-based heritability arises from common genetic variation. The authors identified one genome-wide significant locus on chromosome 12 (rs4622308) in a region harboring a previously reported type 1 diabetes and autoimmune disorder locus. Significant positive genetic correlations were observed between anorexia nervosa and schizophrenia, neuroticism, educational attainment, and high-density lipoprotein cholesterol, and significant negative genetic correlations were observed between anorexia nervosa and body mass index, insulin, glucose, and lipid phenotypes.ConclusionsAnorexia nervosa is a complex heritable phenotype for which this study has uncovered the first genome-wide significant locus. Anorexia nervosa also has large and significant genetic correlations with both psychiatric phenotypes and metabolic traits. The study results encourage a reconceptualization of this frequently lethal disorder as one with both psychiatric and metabolic etiology.

Published
2017

50. Overall Survival and Clinical Characteristics of BRCA‐Associated Cholangiocarcinoma: A Multicenter Retrospective Study

Author

Golan, Talia, Raitses‐Gurevich, Maria, Kelley, Robin K, Bocobo, Andrea G, Borgida, Ayelet, Shroff, Rachna T, Holter, Spring, Gallinger, Steven, Ahn, Daniel H, Aderka, Dan, Apurva, Jain, Bekaii‐Saab, Tanois, Friedman, Eitan, and Javle, Milind

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Prevention, Digestive Diseases, Clinical Research, Cancer, Genetic Testing, Rare Diseases, Genetics, Breast Cancer, Adult, Aged, BRCA1 Protein, BRCA2 Protein, Bile Duct Neoplasms, Cholangiocarcinoma, Female, Heterozygote, Humans, Male, Middle Aged, Mutation, Retrospective Studies, Survival Rate, BRCA-associated, Germline, somatic, PARPi, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundBiliary tract malignancies, in particular cholangiocarcinomas (CCA), are rare tumors that carry a poor prognosis. BRCA2 mutation carriers have an increased risk of developing CCA with a reported relative risk of ∼5 according to the Breast Cancer Linkage Consortium. In addition to this risk, there are potential therapeutic implications in those harboring somatic and/or germline (GL) BRCA mutations. Therefore, it is important to define the clinical characteristics of GL/somatic BRCA1/2 variants in CCA patients.Materials and methodsWe performed a multicenter retrospective analysis of CCA patients diagnosed between January 2000 and December 2013 with GL or somatic variants in BRCA1/2 genes detected by GL mutations testing and/or by tumor next generation sequencing. Cases were identified from clinical databases at participating institutions. Data including demographics, clinical history, surgical procedures, and systemic chemotherapy or radiation were extracted from patients' records.ResultsOverall, 18 cases were identified: 5 carriers of GL BRCA1/2 mutations (4 BRCA2; 1 BRCA1) and 13 harboring somatic variations (7 BRCA1; 6 BRCA2). Mean age at diagnosis was 60, SD ± 10 years (range 36-75 years), with male and female prevalence rates of 61.2% and 38.8%, respectively. Stage at diagnosis was I (n = 4), II (n = 3), III (n = 3), and IV (n = 8). Six patients had extrahepatic CCA and the rest intrahepatic CCA. Thirteen patients received platinum-based therapy and four were treated with poly ADP ribose polymerase inhibitors, of whom one experienced sustained disease response with a progression-free survival of 42.6 months. Median overall survival from diagnosis for patients with stage I/II in this study was 40.3 months (95% confidence interval [CI], 6.73-108.15) and with stages III/IV was 25 months (95% CI, 15.23-40.57).ConclusionBRCA-associated CCA is uncommon. This multicenter retrospective study provides a thorough clinical analysis of a BRCA-associated CCA cohort, which can serve as a benchmark for future development and design of expanded analyses and clinical trials.Implications for practiceBRCA-associated CCA is uncommon but a very important subtype of hepatic malignancies, due to its rising prevalence. Better clinical characterization of this subtype might allow application of targeted therapy for CCA patients with germline or somatic mutations in BRCA1/2 genes, especially due to previously reported success of such therapies in other BRCA-associated malignancies. Thus this study, first of its kind, provides a basis for future multi-centered analyses in larger cohorts, as well as clinical trials. Additionally, this study emphasizes the importance of both germline and somatic genotyping for all CCA patients.

Published
2017

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