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1. Cluster effect for SNP–SNP interaction pairs for predicting complex traits

Author

Lin, Hui-Yi, Mazumder, Harun, Sarkar, Indrani, Huang, Po-Yu, Eeles, Rosalind A., Kote-Jarai, Zsofia, Muir, Kenneth R., Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, Neal, David E., Nielsen, Sune F., Nordestgaard, Børge G., Grönberg, Henrik, Wiklund, Fredrik, MacInnis, Robert J., Haiman, Christopher A., Travis, Ruth C., Stanford, Janet L., Kibel, Adam S., Cybulski, Cezary, Khaw, Kay-Tee, Maier, Christiane, Thibodeau, Stephen N., Teixeira, Manuel R., Cannon-Albright, Lisa, Brenner, Hermann, Kaneva, Radka, Pandha, Hardev, and Park, Jong Y.

Published
2024
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2. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants

Author

Wang, Anqi, Shen, Jiayi, Rodriguez, Alex A., Saunders, Edward J., Chen, Fei, Janivara, Rohini, Darst, Burcu F., Sheng, Xin, Xu, Yili, Chou, Alisha J., Benlloch, Sara, Dadaev, Tokhir, Brook, Mark N., Plym, Anna, Sahimi, Ali, Hoffman, Thomas J., Takahashi, Atushi, Matsuda, Koichi, Momozawa, Yukihide, Fujita, Masashi, Laisk, Triin, Figuerêdo, Jéssica, Muir, Kenneth, Ito, Shuji, Liu, Xiaoxi, Uchio, Yuji, Kubo, Michiaki, Kamatani, Yoichiro, Lophatananon, Artitaya, Wan, Peggy, Andrews, Caroline, Lori, Adriana, Choudhury, Parichoy P., Schleutker, Johanna, Tammela, Teuvo L. J., Sipeky, Csilla, Auvinen, Anssi, Giles, Graham G., Southey, Melissa C., MacInnis, Robert J., Cybulski, Cezary, Wokolorczyk, Dominika, Lubinski, Jan, Rentsch, Christopher T., Cho, Kelly, Mcmahon, Benjamin H., Neal, David E., Donovan, Jenny L., Hamdy, Freddie C., Martin, Richard M., Nordestgaard, Borge G., Nielsen, Sune F., Weischer, Maren, Bojesen, Stig E., Røder, Andreas, Stroomberg, Hein V., Batra, Jyotsna, Chambers, Suzanne, Horvath, Lisa, Clements, Judith A., Tilly, Wayne, Risbridger, Gail P., Gronberg, Henrik, Aly, Markus, Szulkin, Robert, Eklund, Martin, Nordstrom, Tobias, Pashayan, Nora, Dunning, Alison M., Ghoussaini, Maya, Travis, Ruth C., Key, Tim J., Riboli, Elio, Park, Jong Y., Sellers, Thomas A., Lin, Hui-Yi, Albanes, Demetrius, Weinstein, Stephanie, Cook, Michael B., Mucci, Lorelei A., Giovannucci, Edward, Lindstrom, Sara, Kraft, Peter, Hunter, David J., Penney, Kathryn L., Turman, Constance, Tangen, Catherine M., Goodman, Phyllis J., Thompson, Jr., Ian M., Hamilton, Robert J., Fleshner, Neil E., Finelli, Antonio, Parent, Marie-Élise, Stanford, Janet L., Ostrander, Elaine A., Koutros, Stella, Beane Freeman, Laura E., Stampfer, Meir, Wolk, Alicja, Håkansson, Niclas, Andriole, Gerald L., Hoover, Robert N., Machiela, Mitchell J., Sørensen, Karina Dalsgaard, Borre, Michael, Blot, William J., Zheng, Wei, Yeboah, Edward D., Mensah, James E., Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Wu, Yudong, Zhao, Shan-Chao, Sun, Zan, Thibodeau, Stephen N., McDonnell, Shannon K., Schaid, Daniel J., West, Catharine M. L., Barnett, Gill, Maier, Christiane, Schnoeller, Thomas, Luedeke, Manuel, Kibel, Adam S., Drake, Bettina F., Cussenot, Olivier, Cancel-Tassin, Geraldine, Menegaux, Florence, Truong, Thérèse, Koudou, Yves Akoli, John, Esther M., Grindedal, Eli Marie, Maehle, Lovise, Khaw, Kay-Tee, Ingles, Sue A., Stern, Mariana C., Vega, Ana, Gómez-Caamaño, Antonio, Fachal, Laura, Rosenstein, Barry S., Kerns, Sarah L., Ostrer, Harry, Teixeira, Manuel R., Paulo, Paula, Brandão, Andreia, Watya, Stephen, Lubwama, Alexander, Bensen, Jeannette T., Butler, Ebonee N., Mohler, James L., Taylor, Jack A., Kogevinas, Manolis, Dierssen-Sotos, Trinidad, Castaño-Vinyals, Gemma, Cannon-Albright, Lisa, Teerlink, Craig C., Huff, Chad D., Pilie, Patrick, Yu, Yao, Bohlender, Ryan J., Gu, Jian, Strom, Sara S., Multigner, Luc, Blanchet, Pascal, Brureau, Laurent, Kaneva, Radka, Slavov, Chavdar, Mitev, Vanio, Leach, Robin J., Brenner, Hermann, Chen, Xuechen, Holleczek, Bernd, Schöttker, Ben, Klein, Eric A., Hsing, Ann W., Kittles, Rick A., Murphy, Adam B., Logothetis, Christopher J., Kim, Jeri, Neuhausen, Susan L., Steele, Linda, Ding, Yuan Chun, Isaacs, William B., Nemesure, Barbara, Hennis, Anselm J. M., Carpten, John, Pandha, Hardev, Michael, Agnieszka, De Ruyck, Kim, De Meerleer, Gert, Ost, Piet, Xu, Jianfeng, Razack, Azad, Lim, Jasmine, Teo, Soo-Hwang, Newcomb, Lisa F., Lin, Daniel W., Fowke, Jay H., Neslund-Dudas, Christine M., Rybicki, Benjamin A., Gamulin, Marija, Lessel, Davor, Kulis, Tomislav, Usmani, Nawaid, Abraham, Aswin, Singhal, Sandeep, Parliament, Matthew, Claessens, Frank, Joniau, Steven, Van den Broeck, Thomas, Gago-Dominguez, Manuela, Castelao, Jose Esteban, Martinez, Maria Elena, Larkin, Samantha, Townsend, Paul A., Aukim-Hastie, Claire, Bush, William S., Aldrich, Melinda C., Crawford, Dana C., Srivastava, Shiv, Cullen, Jennifer, Petrovics, Gyorgy, Casey, Graham, Wang, Ying, Tettey, Yao, Lachance, Joseph, Tang, Wei, Biritwum, Richard B., Adjei, Andrew A., Tay, Evelyn, Truelove, Ann, Niwa, Shelley, Yamoah, Kosj, Govindasami, Koveela, Chokkalingam, Anand P., Keaton, Jacob M., Hellwege, Jacklyn N., Clark, Peter E., Jalloh, Mohamed, Gueye, Serigne M., Niang, Lamine, Ogunbiyi, Olufemi, Shittu, Olayiwola, Amodu, Olukemi, Adebiyi, Akindele O., Aisuodionoe-Shadrach, Oseremen I., Ajibola, Hafees O., Jamda, Mustapha A., Oluwole, Olabode P., Nwegbu, Maxwell, Adusei, Ben, Mante, Sunny, Darkwa-Abrahams, Afua, Diop, Halimatou, Gundell, Susan M., Roobol, Monique J., Jenster, Guido, van Schaik, Ron H. N., Hu, Jennifer J., Sanderson, Maureen, Kachuri, Linda, Varma, Rohit, McKean-Cowdin, Roberta, Torres, Mina, Preuss, Michael H., Loos, Ruth J. F., Zawistowski, Matthew, Zöllner, Sebastian, Lu, Zeyun, Van Den Eeden, Stephen K., Easton, Douglas F., Ambs, Stefan, Edwards, Todd L., Mägi, Reedik, Rebbeck, Timothy R., Fritsche, Lars, Chanock, Stephen J., Berndt, Sonja I., Wiklund, Fredrik, Nakagawa, Hidewaki, Witte, John S., Gaziano, J. Michael, Justice, Amy C., Mancuso, Nick, Terao, Chikashi, Eeles, Rosalind A., Kote-Jarai, Zsofia, Madduri, Ravi K., Conti, David V., and Haiman, Christopher A.

Published
2023
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3. Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score

Author

Huynh-Le, Minh-Phuong, Karunamuni, Roshan, Fan, Chun Chieh, Asona, Lui, Thompson, Wesley K, Martinez, Maria Elena, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth R, Lophatananon, Artitaya, Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, Grönberg, Henrik, Neal, David E, Nordestgaard, Børge G, Tangen, Catherine M, MacInnis, Robert J, Wolk, Alicja, Albanes, Demetrius, Haiman, Christopher A, Travis, Ruth C, Blot, William J, Stanford, Janet L, Mucci, Lorelei A, West, Catharine ML, Nielsen, Sune F, Kibel, Adam S, Cussenot, Olivier, Berndt, Sonja I, Koutros, Stella, Sørensen, Karina Dalsgaard, Cybulski, Cezary, Grindedal, Eli Marie, Menegaux, Florence, Park, Jong Y, Ingles, Sue A, Maier, Christiane, Hamilton, Robert J, Rosenstein, Barry S, Lu, Yong-Jie, Watya, Stephen, Vega, Ana, Kogevinas, Manolis, Wiklund, Fredrik, Penney, Kathryn L, Huff, Chad D, Teixeira, Manuel R, Multigner, Luc, Leach, Robin J, Brenner, Hermann, John, Esther M, Kaneva, Radka, Logothetis, Christopher J, Neuhausen, Susan L, De Ruyck, Kim, Ost, Piet, Razack, Azad, Newcomb, Lisa F, Fowke, Jay H, Gamulin, Marija, Abraham, Aswin, Claessens, Frank, Castelao, Jose Esteban, Townsend, Paul A, Crawford, Dana C, Petrovics, Gyorgy, van Schaik, Ron HN, Parent, Marie-Élise, Hu, Jennifer J, Zheng, Wei, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, and Seibert, Tyler M

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Aging, Prostate Cancer, Cancer, Urologic Diseases, Prevention, Genetics, Good Health and Well Being, Male, Humans, Prostate-Specific Antigen, Prostatic Neoplasms, Early Detection of Cancer, Polymorphism, Single Nucleotide, Risk Factors, Risk Assessment, Genetic Predisposition to Disease, UKGPCS collaborators, APCB, NC-LA PCaP Investigators, IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, Profile Study Steering Committee, PRACTICAL Consortium, Urology & Nephrology, Clinical sciences, Oncology and carcinogenesis
Abstract

BackgroundProstate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets.MethodsIn total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. The PHS model was evaluated in four testing datasets: African ancestry, Asian ancestry, and two of European Ancestry-the Cohort of Swedish Men (COSM) and the ProtecT study. Hazard ratios (HRs) were estimated to compare men with high versus low PHS for association with clinically significant, with any, and with fatal prostate cancer. The impact of genetic risk stratification on the positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was also measured.ResultsThe final model (PHS290) had 290 SNPs with non-zero coefficients. Comparing, for example, the highest and lowest quintiles of PHS290, the hazard ratios (HRs) for clinically significant prostate cancer were 13.73 [95% CI: 12.43-15.16] in ProtecT, 7.07 [6.58-7.60] in African ancestry, 10.31 [9.58-11.11] in Asian ancestry, and 11.18 [10.34-12.09] in COSM. Similar results were seen for association with any and fatal prostate cancer. Without PHS stratification, the PPV of PSA testing for clinically significant prostate cancer in ProtecT was 0.12 (0.11-0.14). For the top 20% and top 5% of PHS290, the PPV of PSA testing was 0.19 (0.15-0.22) and 0.26 (0.19-0.33), respectively.ConclusionsWe demonstrate better genetic risk stratification for clinically significant prostate cancer than prior versions of PHS in multi-ancestry datasets. This is promising for implementing precision-medicine approaches to prostate cancer screening decisions in diverse populations.

Published
2022

6. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, Thomas U, Zhang, Haoyu, Michailidou, Kyriaki, Milne, Roger L, Bolla, Manjeet K, Dennis, Joe, Dunning, Alison M, Lush, Michael, Wang, Qin, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Baten, Adinda, Becher, Heiko, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, Collée, J Margriet, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Floris, Giuseppe, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Heemskerk-Gerritsen, Bernadette AM, Holleczek, Bernd, Hollestelle, Antoinette, Hooning, Maartje J, Hoover, Robert N, Hopper, John L, Howell, Anthony, Jakimovska, Milena, Jakubowska, Anna, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kauppila, Saila, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kristensen, Vessela N, Krüger, Ute, Kubelka-Sabit, Katerina, Kurian, Allison W, Kyriacou, Kyriacos, Lambrechts, Diether, Lee, Derrick G, Lindblom, Annika, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, MacInnis, Robert J, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, and McLean, Catriona

Subjects
Human Genome, Cancer, Genetics, Clinical Research, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, Biomarkers, Tumor, Breast Neoplasms, Female, Genome-Wide Association Study, Humans, Receptor, ErbB-2, Receptors, Estrogen, Receptors, Progesterone, Risk, Breast cancer, Etiologic heterogeneity, Genetic predisposition, Common breast cancer susceptibility variants, NBCS Collaborators, ABCTB Investigators, kConFab/AOCS Investigators, Receptor, erbB-2, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundGenome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear.MethodsAmong 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes.ResultsEighty-five of 173 variants were associated with at least one tumor feature (false discovery rate

Published
2022

7. Genome-wide interaction analysis of menopausal hormone therapy use and breast cancer risk among 62,370 women

Author

Wang, Xiaoliang, Kapoor, Pooja Middha, Auer, Paul L, Dennis, Joe, Dunning, Alison M, Wang, Qin, Lush, Michael, Michailidou, Kyriaki, Bolla, Manjeet K, Aronson, Kristan J, Murphy, Rachel A, Brooks-Wilson, Angela, Lee, Derrick G, Cordina-Duverger, Emilie, Guénel, Pascal, Truong, Thérèse, Mulot, Claire, Teras, Lauren R, Patel, Alpa V, Dossus, Laure, Kaaks, Rudolf, Hoppe, Reiner, Lo, Wing-Yee, Brüning, Thomas, Hamann, Ute, Czene, Kamila, Gabrielson, Marike, Hall, Per, Eriksson, Mikael, Jung, Audrey, Becher, Heiko, Couch, Fergus J, Larson, Nicole L, Olson, Janet E, Ruddy, Kathryn J, Giles, Graham G, MacInnis, Robert J, Southey, Melissa C, Le Marchand, Loic, Wilkens, Lynne R, Haiman, Christopher A, Olsson, Håkan, Augustinsson, Annelie, Krüger, Ute, Wagner, Philippe, Scott, Christopher, Winham, Stacey J, Vachon, Celine M, Perou, Charles M, Olshan, Andrew F, Troester, Melissa A, Hunter, David J, Eliassen, Heather A, Tamimi, Rulla M, Brantley, Kristen, Andrulis, Irene L, Figueroa, Jonine, Chanock, Stephen J, Ahearn, Thomas U, García-Closas, Montserrat, Evans, Gareth D, Newman, William G, van Veen, Elke M, Howell, Anthony, Wolk, Alicja, Håkansson, Niclas, Anton-Culver, Hoda, Ziogas, Argyrios, Jones, Michael E, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Kitahara, Cari M, Linet, Martha, Prentice, Ross L, Easton, Douglas F, Milne, Roger L, Kraft, Peter, Chang-Claude, Jenny, and Lindström, Sara

Subjects
Genetics, Cancer, Aging, Human Genome, Breast Cancer, Prevention, Estrogen, 2.1 Biological and endogenous factors, Aetiology, Breast, Breast Neoplasms, Estrogen Replacement Therapy, Female, Hormone Replacement Therapy, Humans, Male, Menopause, Risk Factors
Abstract

Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values

Published
2022

8. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis

Author

Landi, Maria Teresa, Stevens, Victoria, Wang, Ying, Albanes, Demetrios, Caporaso, Neil, Brennan, Paul, Amos, Christopher I., Shete, Sanjay, Hung, Rayjean J., Bickeböller, Heike, Risch, Angela, Houlston, Richard, Lam, Stephen, Tardon, Adonina, Chen, Chu, Bojesen, Stig E., Johansson, Mattias, Wichmann, H-Erich, Christiani, David, Rennert, Gadi, Arnold, Susanne, Field, John K., Le Marchand, Loic, Melander, Olle, Brunnström, Hans, Liu, Geoffrey, Andrew, Angeline, Kiemeney, Lambertus A., Shen, Hongbing, Zienolddiny, Shan, Grankvist, Kjell, Johansson, Mikael, Teare, M. Dawn, Hong, Yun-Chul, Yuan, Jian-Min, Lazarus, Philip, Schabath, Matthew B., Aldrich, Melinda C., Eeles, Rosalind A., Haiman, Christopher A., Kote-Jarai, Zsofia, Schumacher, Fredrick R., Benlloch, Sara, Al Olama, Ali Amin, Muir, Kenneth R., Berndt, Sonja I., Conti, David V., Wiklund, Fredrik, Chanock, Stephen, Tangen, Catherine M., Batra, Jyotsna, Clements, Judith A., Grönberg, Henrik, Pashayan, Nora, Schleutker, Johanna, Albanes, Demetrius, Weinstein, Stephanie J., Wolk, Alicja, West, Catharine M.L., Mucci, Lorelei A., Cancel-Tassin, Géraldine, Koutros, Stella, Sørensen, Karina Dalsgaard, Grindedal, Eli Marie, Neal, David E., Hamdy, Freddie C., Donovan, Jenny L., Travis, Ruth C., Hamilton, Robert J., Ingles, Sue Ann, Rosenstein, Barry S., Lu, Yong-Jie, Giles, Graham G., MacInnis, Robert J., Kibel, Adam S., Vega, Ana, Kogevinas, Manolis, Penney, Kathryn L., Park, Jong Y., Stanfrod, Janet L., Cybulski, Cezary, Nordestgaard, Børge G., Nielsen, Sune F., Brenner, Hermann, Maier, Christiane, Logothetis, Christopher J., John, Esther M., Teixeira, Manuel R., Neuhausen, Susan L., De Ruyck, Kim, Razack, Azad, Newcomb, Lisa F., Lessel, Davor, Kaneva, Radka, Usmani, Nawaid, Claessens, Frank, Townsend, Paul A., Castelao, Jose Esteban, Roobol, Monique J., Menegaux, Florence, Khaw, Kay-Tee, Cannon-Albright, Lisa, Pandha, Hardev, Thibodeau, Stephen N., Hunter, David J., Kraft, Peter, Blot, William J., Riboli, Elio, Yarmolinsky, James, Robinson, Jamie W., Mariosa, Daniela, Karhunen, Ville, Huang, Jian, Dimou, Niki, Murphy, Neil, Burrows, Kimberley, Bouras, Emmanouil, Smith-Byrne, Karl, Lewis, Sarah J., Galesloot, Tessel E., Vermeulen, Sita, Martin, Paul, Hou, Lifang, Newcomb, Polly A., White, Emily, Wu, Anna H., Le Marchand, Loïc, Phipps, Amanda I., Buchanan, Daniel D., Zhao, Sizheng Steven, Gill, Dipender, Chanock, Stephen J., Purdue, Mark P., Davey Smith, George, Herzig, Karl-Heinz, Järvelin, Marjo-Riitta, Amos, Chris I., Dehghan, Abbas, Gunter, Marc J., Tsilidis, Kostas K., and Martin, Richard M.

Published
2024
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10. Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer.

Author

Karunamuni, Roshan A, Huynh-Le, Minh-Phuong, Fan, Chun C, Thompson, Wesley, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth, Lophatananon, Artitaya, UKGPCS collaborators, Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, APCB BioResource (Australian Prostate Cancer BioResource), Grönberg, Henrik, Walsh, Eleanor I, Turner, Emma L, Lane, Athene, Martin, Richard M, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Nordestgaard, Børge G, Tangen, Catherine M, MacInnis, Robert J, Wolk, Alicja, Albanes, Demetrius, Haiman, Christopher A, Travis, Ruth C, Stanford, Janet L, Mucci, Lorelei A, West, Catharine ML, Nielsen, Sune F, Kibel, Adam S, Wiklund, Fredrik, Cussenot, Olivier, Berndt, Sonja I, Koutros, Stella, Sørensen, Karina Dalsgaard, Cybulski, Cezary, Grindedal, Eli Marie, Park, Jong Y, Ingles, Sue A, Maier, Christiane, Hamilton, Robert J, Rosenstein, Barry S, Vega, Ana, IMPACT Study Steering Committee and Collaborators, Kogevinas, Manolis, Penney, Kathryn L, Teixeira, Manuel R, Brenner, Hermann, John, Esther M, Kaneva, Radka, Logothetis, Christopher J, Neuhausen, Susan L, Razack, Azad, Newcomb, Lisa F, Canary PASS Investigators, Gamulin, Marija, Usmani, Nawaid, Claessens, Frank, Gago-Dominguez, Manuela, Townsend, Paul A, Roobol, Monique J, Zheng, Wei, Profile Study Steering Committee, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, Seibert, Tyler M, and PRACTICAL Consortium

Subjects
UKGPCS collaborators, APCB BioResource, IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, Profile Study Steering Committee, PRACTICAL Consortium, Prevention, Urologic Diseases, Cancer, Prostate Cancer, Aging, Urology & Nephrology, Oncology and Carcinogenesis
Abstract

BackgroundPolygenic hazard scores (PHS) can identify individuals with increased risk of prostate cancer. We estimated the benefit of additional SNPs on performance of a previously validated PHS (PHS46).Materials and method180 SNPs, shown to be previously associated with prostate cancer, were used to develop a PHS model in men with European ancestry. A machine-learning approach, LASSO-regularized Cox regression, was used to select SNPs and to estimate their coefficients in the training set (75,596 men). Performance of the resulting model was evaluated in the testing/validation set (6,411 men) with two metrics: (1) hazard ratios (HRs) and (2) positive predictive value (PPV) of prostate-specific antigen (PSA) testing. HRs were estimated between individuals with PHS in the top 5% to those in the middle 40% (HR95/50), top 20% to bottom 20% (HR80/20), and bottom 20% to middle 40% (HR20/50). PPV was calculated for the top 20% (PPV80) and top 5% (PPV95) of PHS as the fraction of individuals with elevated PSA that were diagnosed with clinically significant prostate cancer on biopsy.Results166 SNPs had non-zero coefficients in the Cox model (PHS166). All HR metrics showed significant improvements for PHS166 compared to PHS46: HR95/50 increased from 3.72 to 5.09, HR80/20 increased from 6.12 to 9.45, and HR20/50 decreased from 0.41 to 0.34. By contrast, no significant differences were observed in PPV of PSA testing for clinically significant prostate cancer.ConclusionsIncorporating 120 additional SNPs (PHS166 vs PHS46) significantly improved HRs for prostate cancer, while PPV of PSA testing remained the same.

Published
2021

11. Genome-Wide Interaction Analysis of Menopausal Hormone Therapy Use and Breast Cancer Risk Among 62,370 Women

Author

Wang, Xiaoliang, Kapoor, Pooja Middha, Auer, Paul L, Dennis, Joe, Dunning, Alison M, Wang, Qin, Lush, Michael, Michailidou, Kyriaki, Bolla, Manjeet K, Aronson, Kristan J, Murphy, Rachel A, Brooks-Wilson, Angela, Lee, Derrick G, Cordina-Duverger, Emilie, Guénel, Pascal, Truong, Thérèse, Mulot, Claire, Teras, Lauren R, Patel, Alpa V, Dossus, Laure, Kaaks, Rudolf, Hoppe, Reiner, Lo, Wing-Yee, Brüning, Thomas, Hamann, Ute, Czene, Kamila, Gabrielson, Marike, Hall, Per, Eriksson, Mikael, Jung, Audrey, Becher, Heiko, Couch, Fergus J, Larson, Nicole L, Olson, Janet E, Ruddy, Kathryn J, Giles, Graham G, MacInnis, Robert J, Southey, Melissa C, Marchand, Loic Le, Wilkens, Lynne R, Haiman, Christopher A, Olsson, Håkan, Augustinsson, Annelie, Krüger, Ute, Wagner, Philippe, Scott, Christopher, Winham, Stacey J, Vachon, Celine M, Perou, Charles M, Olshan, Andrew F, Troester, Melissa A, Hunter, David J, Eliassen, A Heather, Tamimi, Rulla M, Brantley, Kristen, Andrulis, Irene L, Figueroa, Jonine, Chanock, Stephen J, Ahearn, Thomas U, García-Closas, Montserrat, Evans, Gareth D, Newman, William G, Veen, Elke M van, Howell, Anthony, Wolk, Alicja, Håkansson, Niclas, Anton-Culver, Hoda, Ziogas, Argyrios, Jones, Michael E, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Kitahara, Cari M, Linet, Martha, Prentice, Ross L, Easton, Douglas F, Milne, Roger L, Kraft, Peter, Chang-Claude, Jenny, and Lindström, Sara

Subjects
Cancer, Prevention, Breast Cancer, Genetics, Human Genome, Aging, Estrogen, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being
Abstract

Abstract Background: Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. Methods: We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values

Published
2021

12. Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk.

Author

Kapoor, Pooja Middha, Mavaddat, Nasim, Choudhury, Parichoy Pal, Wilcox, Amber N, Lindström, Sara, Behrens, Sabine, Michailidou, Kyriaki, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Jung, Audrey, Abu-Ful, Zomoroda, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bernstein, Leslie, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chatterjee, Nilanjan, Chenevix-Trench, Georgia, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Earp, H Shelton, Ekici, Arif B, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hatse, Sigrid, Heyworth, Jane, Holleczek, Bernd, Hoover, Robert N, Hopper, John L, Howell, Anthony, Hunter, David J, ABCTB Investigators, kConFab/AOCS Investigators, John, Esther M, Jones, Michael E, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, MacInnis, Robert J, Martinez, Maria Elena, Maurer, Tabea, McLean, Catriona, Neuhausen, Susan L, Newman, William G, Norman, Aaron, O'Brien, Katie M, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, and Orr, Nick

Subjects
ABCTB Investigators, kConFab/AOCS Investigators, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.

Published
2021

15. Segregation analysis of 17,425 population-based breast cancer families: Evidence for genetic susceptibility and risk prediction

Author

Li, Shuai, MacInnis, Robert J., Lee, Andrew, Nguyen-Dumont, Tu, Dorling, Leila, Carvalho, Sara, Dite, Gillian S., Shah, Mitul, Luccarini, Craig, Wang, Qin, Milne, Roger L., Jenkins, Mark A., Giles, Graham G., Dunning, Alison M., Pharoah, Paul D.P., Southey, Melissa C., Easton, Douglas F., Hopper, John L., and Antoniou, Antonis C.

Published
2022
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19. Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

Author

Schumacher, Fredrick R, Al Olama, Ali Amin, Berndt, Sonja I, Benlloch, Sara, Ahmed, Mahbubl, Saunders, Edward J, Dadaev, Tokhir, Leongamornlert, Daniel, Anokian, Ezequiel, Cieza-Borrella, Clara, Goh, Chee, Brook, Mark N, Sheng, Xin, Fachal, Laura, Dennis, Joe, Tyrer, Jonathan, Muir, Kenneth, Lophatananon, Artitaya, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Tangen, Catherine M, Goodman, Phyllis J, Thompson, Ian M, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Clements, Judith, Horvath, Lisa, Tilley, Wayne, Risbridger, Gail P, Gronberg, Henrik, Aly, Markus, Nordström, Tobias, Pharoah, Paul, Pashayan, Nora, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Albanes, Demetrius, Weinstein, Stephanie, Wolk, Alicja, Håkansson, Niclas, West, Catharine ML, Dunning, Alison M, Burnet, Neil, Mucci, Lorelei A, Giovannucci, Edward, Andriole, Gerald L, Cussenot, Olivier, Cancel-Tassin, Géraldine, Koutros, Stella, Beane Freeman, Laura E, Sorensen, Karina Dalsgaard, Orntoft, Torben Falck, Borre, Michael, Maehle, Lovise, Grindedal, Eli Marie, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Travis, Ruth C, Key, Tim J, Hamilton, Robert J, Fleshner, Neil E, Finelli, Antonio, Ingles, Sue Ann, Stern, Mariana C, Rosenstein, Barry S, Kerns, Sarah L, Ostrer, Harry, Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Guo, Xin, Wang, Guomin, Sun, Zan, Giles, Graham G, Southey, Melissa C, MacInnis, Robert J, FitzGerald, Liesel M, Kibel, Adam S, Drake, Bettina F, Vega, Ana, Gómez-Caamaño, Antonio, Szulkin, Robert, Eklund, Martin, Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Penney, Kathryn L, Stampfer, Meir, Park, Jong Y, Sellers, Thomas A, Lin, Hui-Yi, Stanford, Janet L, and Cybulski, Cezary

Subjects
Cancer, Aging, Prostate Cancer, Genetics, Urologic Diseases, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Case-Control Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Risk, Profile Study, Australian Prostate Cancer BioResource, IMPACT Study, Canary PASS Investigators, Breast and Prostate Cancer Cohort Consortium, PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, Cancer of the Prostate in Sweden, Prostate Cancer Genome-wide Association Study of Uncommon Susceptibility Loci, Genetic Associations and Mechanisms in Oncology (GAME-ON)/Elucidating Loci Involved in Prostate Cancer Susceptibility (ELLIPSE) Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Genome-wide association studies (GWAS) and fine-mapping efforts to date have identified more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data from a custom high-density array of 46,939 PrCa cases and 27,910 controls of European ancestry with previously genotyped data of 32,255 PrCa cases and 33,202 controls of European ancestry. Our analysis identified 62 novel loci associated (P C, p.Pro1054Arg) in ATM and rs2066827 (OR = 1.06; P = 2.3 × 10-9; T>G, p.Val109Gly) in CDKN1B. The combination of all loci captured 28.4% of the PrCa familial relative risk, and a polygenic risk score conferred an elevated PrCa risk for men in the ninetieth to ninety-ninth percentiles (relative risk = 2.69; 95% confidence interval (CI): 2.55-2.82) and first percentile (relative risk = 5.71; 95% CI: 5.04-6.48) risk stratum compared with the population average. These findings improve risk prediction, enhance fine-mapping, and provide insight into the underlying biology of PrCa1.

Published
2018

20. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Author

Dadaev, Tokhir, Saunders, Edward J, Newcombe, Paul J, Anokian, Ezequiel, Leongamornlert, Daniel A, Brook, Mark N, Cieza-Borrella, Clara, Mijuskovic, Martina, Wakerell, Sarah, Olama, Ali Amin Al, Schumacher, Fredrick R, Berndt, Sonja I, Benlloch, Sara, Ahmed, Mahbubl, Goh, Chee, Sheng, Xin, Zhang, Zhuo, Muir, Kenneth, Govindasami, Koveela, Lophatananon, Artitaya, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Tangen, Catherine M, Goodman, Phyllis, Thompson, Ian M, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Clements, Judith, Horvath, Lisa, Tilley, Wayne, Risbridger, Gail, Gronberg, Henrik, Aly, Markus, Nordström, Tobias, Pharoah, Paul, Pashayan, Nora, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Albanes, Demetrius, Weinstein, Stephanie, Wolk, Alicja, Hakansson, Niclas, West, Catharine, Dunning, Alison M, Burnet, Neil, Mucci, Lorelei, Giovannucci, Edward, Andriole, Gerald, Cussenot, Olivier, Cancel-Tassin, Géraldine, Koutros, Stella, Freeman, Laura E Beane, Sorensen, Karina Dalsgaard, Orntoft, Torben Falck, Borre, Michael, Maehle, Lovise, Grindedal, Eli Marie, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Travis, Ruth C, Key, Tim J, Hamilton, Robert J, Fleshner, Neil E, Finelli, Antonio, Ingles, Sue Ann, Stern, Mariana C, Rosenstein, Barry, Kerns, Sarah, Ostrer, Harry, Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Guo, Xin, Wang, Guomin, Sun, Zan, Giles, Graham G, Southey, Melissa C, MacInnis, Robert J, FitzGerald, Liesel M, Kibel, Adam S, Drake, Bettina F, Vega, Ana, Gómez-Caamaño, Antonio, Fachal, Laura, Szulkin, Robert, Eklund, Martin, Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Penney, Kathryn L, Stampfer, Meir, Park, Jong Y, and Sellers, Thomas A

Subjects
Genetics, Aging, Urologic Diseases, Prostate Cancer, Prevention, Human Genome, Cancer, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Algorithms, Bayes Theorem, Black People, Chromosome Mapping, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Molecular Sequence Annotation, Multivariate Analysis, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Quantitative Trait Loci, Risk, White People, PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium
Abstract

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.

Published
2018

21. Breast and bowel cancers diagnosed in people ‘too young to have cancer’: A blueprint for research using family and twin studies

Author

Hopper, John L., primary, Li, Shuai, additional, MacInnis, Robert J., additional, Dowty, James G., additional, Nguyen, Tuong L., additional, Bui, Minh, additional, Dite, Gillian S., additional, Esser, Vivienne F. C., additional, Ye, Zhoufeng, additional, Makalic, Enes, additional, Schmidt, Daniel F., additional, Goudey, Benjamin, additional, Alpen, Karen, additional, Kapuscinski, Miroslaw, additional, Win, Aung Ko, additional, Dugué, Pierre‐Antoine, additional, Milne, Roger L., additional, Jayasekara, Harindra, additional, Brooks, Jennifer D., additional, Malta, Sue, additional, Calais‐Ferreira, Lucas, additional, Campbell, Alexander C., additional, Young, Jesse T., additional, Nguyen‐Dumont, Tu, additional, Sung, Joohon, additional, Giles, Graham G., additional, Buchanan, Daniel, additional, Winship, Ingrid, additional, Terry, Mary Beth, additional, Southey, Melissa C., additional, and Jenkins, Mark A., additional

Published
2024
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22. Causation and familial confounding as explanations for the associations of polygenic risk scores with breast cancer: Evidence from innovative ICE FALCON and ICE CRISTAL analyses

Author

Li, Shuai, primary, Dite, Gillian S., additional, MacInnis, Robert J., additional, Bui, Minh, additional, Nguyen, Tuong L., additional, Esser, Vivienne F. C., additional, Ye, Zhoufeng, additional, Dowty, James G., additional, Makalic, Enes, additional, Sung, Joohon, additional, Giles, Graham G., additional, Southey, Melissa C., additional, and Hopper, John L., additional

Published
2024
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23. Inflammation-Related Marker Profiling of Dietary Patterns and All-cause Mortality in the Melbourne Collaborative Cohort Study

Author

Li, Sherly X, Hodge, Allison M, MacInnis, Robert J, Bassett, Julie K, Ueland, Per M, Midttun, Øivind, Ulvik, Arve, Rinaldi, Sabina, Meyer, Klaus, Navionis, Anne-Sophie, Shivappa, Nitin, Hébert, James R, Flicker, Leon, Severi, Gianluca, Jayasekara, Harindra, English, Dallas R, Vineis, Paolo, Southey, Melissa C, Milne, Roger L, Giles, Graham G, and Dugué, Pierre-Antoine

Published
2021
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25. Rare Germline Variants in ATM Predispose to Prostate Cancer: A PRACTICAL Consortium Study

Author

Karlsson, Questa, Brook, Mark N., Dadaev, Tokhir, Wakerell, Sarah, Saunders, Edward J., Muir, Kenneth, Neal, David E., Giles, Graham G., MacInnis, Robert J., Thibodeau, Stephen N., McDonnell, Shannon K., Cannon-Albright, Lisa, Teixeira, Manuel R., Paulo, Paula, Cardoso, Marta, Huff, Chad, Li, Donghui, Yao, Yu, Scheet, Paul, Permuth, Jennifer B., Stanford, Janet L., Dai, James Y., Ostrander, Elaine A., Cussenot, Olivier, Cancel-Tassin, Géraldine, Hoegel, Josef, Herkommer, Kathleen, Schleutker, Johanna, Tammela, Teuvo L.J., Rathinakannan, Venkat, Sipeky, Csilla, Wiklund, Fredrik, Grönberg, Henrik, Aly, Markus, Isaacs, William B., Dickinson, Jo L., FitzGerald, Liesel M., Chua, Melvin L.K., Nguyen-Dumont, Tu, Schaid, Daniel J., Southey, Melissa C., Eeles, Rosalind A., and Kote-Jarai, Zsofia

Published
2021
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26. Circulating sex hormones in relation to anthropometric, sociodemographic and behavioural factors in an international dataset of 12,300 men

Author

Watts, Eleanor L, Appleby, Paul N, Albanes, Demetrius, Black, Amanda, Chan, June M, Chen, Chu, Cirillo, Piera M, Cohn, Barbara A, Cook, Michael B, Donovan, Jenny L, Ferrucci, Luigi, Garland, Cedric F, Giles, Graham G, Goodman, Phyllis J, Habel, Laurel A, Haiman, Christopher A, Holly, Jeff MP, Hoover, Robert N, Kaaks, Rudolf, Knekt, Paul, Kolonel, Laurence N, Kubo, Tatsuhiko, Le Marchand, Loïc, Luostarinen, Tapio, MacInnis, Robert J, Mäenpää, Hanna O, Männistö, Satu, Metter, E Jeffrey, Milne, Roger L, Nomura, Abraham MY, Oliver, Steven E, Parsons, J Kellogg, Peeters, Petra H, Platz, Elizabeth A, Riboli, Elio, Ricceri, Fulvio, Rinaldi, Sabina, Rissanen, Harri, Sawada, Norie, Schaefer, Catherine A, Schenk, Jeannette M, Stanczyk, Frank Z, Stampfer, Meir, Stattin, Pär, Stenman, Ulf-Håkan, Tjønneland, Anne, Trichopoulou, Antonia, Thompson, Ian M, Tsugane, Shoichiro, Vatten, Lars, Whittemore, Alice S, Ziegler, Regina G, Allen, Naomi E, Key, Timothy J, and Travis, Ruth C

Subjects
Cancer, Aging, Estrogen, Good Health and Well Being, Adult, Anthropometry, Behavior, Datasets as Topic, Gonadal Steroid Hormones, Humans, Male, Social Class, Young Adult, General Science & Technology
Abstract

IntroductionSex hormones have been implicated in the etiology of a number of diseases. To better understand disease etiology and the mechanisms of disease-risk factor associations, this analysis aimed to investigate the associations of anthropometric, sociodemographic and behavioural factors with a range of circulating sex hormones and sex hormone-binding globulin.MethodsStatistical analyses of individual participant data from 12,330 male controls aged 25-85 years from 25 studies involved in the Endogenous Hormones Nutritional Biomarkers and Prostate Cancer Collaborative Group. Analysis of variance was used to estimate geometric means adjusted for study and relevant covariates.ResultsOlder age was associated with higher concentrations of sex hormone-binding globulin and dihydrotestosterone and lower concentrations of dehydroepiandrosterone sulfate, free testosterone, androstenedione, androstanediol glucuronide and free estradiol. Higher body mass index was associated with higher concentrations of free estradiol, androstanediol glucuronide, estradiol and estrone and lower concentrations of dihydrotestosterone, testosterone, sex hormone-binding globulin, free testosterone, androstenedione and dehydroepiandrosterone sulfate. Taller height was associated with lower concentrations of androstenedione, testosterone, free testosterone and sex hormone-binding globulin and higher concentrations of androstanediol glucuronide. Current smoking was associated with higher concentrations of androstenedione, sex hormone-binding globulin and testosterone. Alcohol consumption was associated with higher concentrations of dehydroepiandrosterone sulfate, androstenedione and androstanediol glucuronide. East Asians had lower concentrations of androstanediol glucuronide and African Americans had higher concentrations of estrogens. Education and marital status were modestly associated with a small number of hormones.ConclusionCirculating sex hormones in men are strongly associated with age and body mass index, and to a lesser extent with smoking status and alcohol consumption.

Published
2017

27. Observational and genetic associations between cardiorespiratory fitness and cancer : a UK Biobank and international consortia study

Author

Watts, Eleanor L., Gonzales, Tomas I., Strain, Tessa, Saint-Maurice, Pedro F., Bishop, D. Timothy, Chanock, Stephen J., Johansson, Mattias, Keku, Temitope O., Le Marchand, Loic, Moreno, Victor, Newcomb, Polly A., Newton, Christina C., Pai, Rish K., Purdue, Mark P., Ulrich, Cornelia M., Smith-Byrne, Karl, van Guelpen, Bethany, Eeles, Rosalind A., Haiman, Christopher A., Kote-Jarai, Zsofia, Schumacher, Fredrick R., Benlloch, Sara, Olama, Ali Amin Al, Muir, Kenneth R., Berndt, Sonja I., Conti, David V., Wiklund, Fredrik, Wang, Ying, Tangen, Catherine M., Batra, Jyotsna, Clements, Judith A., Grönberg, Henrik, Pashayan, Nora, Schleutker, Johanna, Albanes, Demetrius, Weinstein, Stephanie J., Wolk, Alicja, West, Catharine M. L., Mucci, Lorelei A., Cancel-Tassin, Géraldine, Koutros, Stella, Sørensen, Karina Dalsgaard, Grindedal, Eli Marie, Neal, David E., Hamdy, Freddie C., Donovan, Jenny L., Travis, Ruth C., Hamilton, Robert J., Ingles, Sue Ann, Rosenstein, Barry S., Lu, Yong-Jie, Giles, Graham G., MacInnis, Robert J., Kibel, Adam S., Vega, Ana, Kogevinas, Manolis, Penney, Kathryn L., Park, Jong Y., Stanford, Janet L., Cybulski, Cezary, Nordestgaard, Børge G., Nielsen, Sune F., Brenner, Hermann, Maier, Christiane, Kim, Jeri, John, Esther M., Teixeira, Manuel R., Neuhausen, Susan L., De Ruyck, Kim, Razack, Azad, Newcomb, Lisa F., Lessel, Davor, Kaneva, Radka, Usmani, Nawaid, Claessens, Frank, Townsend, Paul A., Castelao, Jose Esteban, Roobol, Monique J., Menegaux, Florence, Khaw, Kay-Tee, Cannon-Albright, Lisa, Pandha, Hardev, Thibodeau, Stephen N., Hunter, David J., Kraft, Peter, Blot, William J., Riboli, Elio, Day, Felix R., Wijndaele, Katrien, Wareham, Nicholas J., Matthews, Charles E., Moore, Steven C., Brage, Soren, Watts, Eleanor L., Gonzales, Tomas I., Strain, Tessa, Saint-Maurice, Pedro F., Bishop, D. Timothy, Chanock, Stephen J., Johansson, Mattias, Keku, Temitope O., Le Marchand, Loic, Moreno, Victor, Newcomb, Polly A., Newton, Christina C., Pai, Rish K., Purdue, Mark P., Ulrich, Cornelia M., Smith-Byrne, Karl, van Guelpen, Bethany, Eeles, Rosalind A., Haiman, Christopher A., Kote-Jarai, Zsofia, Schumacher, Fredrick R., Benlloch, Sara, Olama, Ali Amin Al, Muir, Kenneth R., Berndt, Sonja I., Conti, David V., Wiklund, Fredrik, Wang, Ying, Tangen, Catherine M., Batra, Jyotsna, Clements, Judith A., Grönberg, Henrik, Pashayan, Nora, Schleutker, Johanna, Albanes, Demetrius, Weinstein, Stephanie J., Wolk, Alicja, West, Catharine M. L., Mucci, Lorelei A., Cancel-Tassin, Géraldine, Koutros, Stella, Sørensen, Karina Dalsgaard, Grindedal, Eli Marie, Neal, David E., Hamdy, Freddie C., Donovan, Jenny L., Travis, Ruth C., Hamilton, Robert J., Ingles, Sue Ann, Rosenstein, Barry S., Lu, Yong-Jie, Giles, Graham G., MacInnis, Robert J., Kibel, Adam S., Vega, Ana, Kogevinas, Manolis, Penney, Kathryn L., Park, Jong Y., Stanford, Janet L., Cybulski, Cezary, Nordestgaard, Børge G., Nielsen, Sune F., Brenner, Hermann, Maier, Christiane, Kim, Jeri, John, Esther M., Teixeira, Manuel R., Neuhausen, Susan L., De Ruyck, Kim, Razack, Azad, Newcomb, Lisa F., Lessel, Davor, Kaneva, Radka, Usmani, Nawaid, Claessens, Frank, Townsend, Paul A., Castelao, Jose Esteban, Roobol, Monique J., Menegaux, Florence, Khaw, Kay-Tee, Cannon-Albright, Lisa, Pandha, Hardev, Thibodeau, Stephen N., Hunter, David J., Kraft, Peter, Blot, William J., Riboli, Elio, Day, Felix R., Wijndaele, Katrien, Wareham, Nicholas J., Matthews, Charles E., Moore, Steven C., and Brage, Soren

Abstract

Background: The association of fitness with cancer risk is not clear. Methods: We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of lung, colorectal, endometrial, breast, and prostate cancer in a subset of UK Biobank participants who completed a submaximal fitness test in 2009-12 (N = 72,572). We also investigated relationships using two-sample Mendelian randomisation (MR), odds ratios (ORs) were estimated using the inverse-variance weighted method. Results: After a median of 11 years of follow-up, 4290 cancers of interest were diagnosed. A 3.5 ml O2⋅min−1⋅kg−1 total-body mass increase in fitness (equivalent to 1 metabolic equivalent of task (MET), approximately 0.5 standard deviation (SD)) was associated with lower risks of endometrial (HR = 0.81, 95% CI: 0.73–0.89), colorectal (0.94, 0.90–0.99), and breast cancer (0.96, 0.92–0.99). In MR analyses, a 0.5 SD increase in genetically predicted O2⋅min−1⋅kg−1 fat-free mass was associated with a lower risk of breast cancer (OR = 0.92, 95% CI: 0.86–0.98). After adjusting for adiposity, both the observational and genetic associations were attenuated. Discussion: Higher fitness levels may reduce risks of endometrial, colorectal, and breast cancer, though relationships with adiposity are complex and may mediate these relationships. Increasing fitness, including via changes in body composition, may be an effective strategy for cancer prevention.

Published
2024
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28. Observational and genetic associations between cardiorespiratory fitness and cancer:a UK Biobank and international consortia study

Author

Watts, Eleanor L., Gonzales, Tomas I., Strain, Tessa, Saint-Maurice, Pedro F., Bishop, D. Timothy, Chanock, Stephen J., Johansson, Mattias, Keku, Temitope O., Le Marchand, Loic, Moreno, Victor, Newcomb, Polly A., Newton, Christina C., Pai, Rish K., Purdue, Mark P., Ulrich, Cornelia M., Smith-Byrne, Karl, Van Guelpen, Bethany, Eeles, Rosalind A., Haiman, Christopher A., Kote-Jarai, Zsofia, Schumacher, Fredrick R., Benlloch, Sara, Olama, Ali Amin Al, Muir, Kenneth R., Berndt, Sonja I., Conti, David V., Wiklund, Fredrik, Wang, Ying, Tangen, Catherine M., Batra, Jyotsna, Clements, Judith A., Grönberg, Henrik, Pashayan, Nora, Schleutker, Johanna, Albanes, Demetrius, Weinstein, Stephanie J., Wolk, Alicja, West, Catharine M.L., Mucci, Lorelei A., Cancel-Tassin, Géraldine, Koutros, Stella, Sørensen, Karina Dalsgaard, Grindedal, Eli Marie, Neal, David E., Hamdy, Freddie C., Donovan, Jenny L., Travis, Ruth C., Hamilton, Robert J., Ingles, Sue Ann, Rosenstein, Barry S., Lu, Yong Jie, Giles, Graham G., MacInnis, Robert J., Kibel, Adam S., Vega, Ana, Kogevinas, Manolis, Penney, Kathryn L., Park, Jong Y., Stanford, Janet L., Cybulski, Cezary, Nordestgaard, Børge G., Nielsen, Sune F., Brenner, Hermann, Maier, Christiane, Kim, Jeri, John, Esther M., Teixeira, Manuel R., Neuhausen, Susan L., De Ruyck, Kim, Razack, Azad, Newcomb, Lisa F., Lessel, Davor, Kaneva, Radka, Usmani, Nawaid, Claessens, Frank, Townsend, Paul A., Castelao, Jose Esteban, Roobol, Monique J., Menegaux, Florence, Khaw, Kay Tee, Cannon-Albright, Lisa, Pandha, Hardev, Thibodeau, Stephen N., Hunter, David J., Kraft, Peter, Blot, William J., Riboli, Elio, Day, Felix R., Wijndaele, Katrien, Wareham, Nicholas J., Matthews, Charles E., Moore, Steven C., Brage, Soren, Watts, Eleanor L., Gonzales, Tomas I., Strain, Tessa, Saint-Maurice, Pedro F., Bishop, D. Timothy, Chanock, Stephen J., Johansson, Mattias, Keku, Temitope O., Le Marchand, Loic, Moreno, Victor, Newcomb, Polly A., Newton, Christina C., Pai, Rish K., Purdue, Mark P., Ulrich, Cornelia M., Smith-Byrne, Karl, Van Guelpen, Bethany, Eeles, Rosalind A., Haiman, Christopher A., Kote-Jarai, Zsofia, Schumacher, Fredrick R., Benlloch, Sara, Olama, Ali Amin Al, Muir, Kenneth R., Berndt, Sonja I., Conti, David V., Wiklund, Fredrik, Wang, Ying, Tangen, Catherine M., Batra, Jyotsna, Clements, Judith A., Grönberg, Henrik, Pashayan, Nora, Schleutker, Johanna, Albanes, Demetrius, Weinstein, Stephanie J., Wolk, Alicja, West, Catharine M.L., Mucci, Lorelei A., Cancel-Tassin, Géraldine, Koutros, Stella, Sørensen, Karina Dalsgaard, Grindedal, Eli Marie, Neal, David E., Hamdy, Freddie C., Donovan, Jenny L., Travis, Ruth C., Hamilton, Robert J., Ingles, Sue Ann, Rosenstein, Barry S., Lu, Yong Jie, Giles, Graham G., MacInnis, Robert J., Kibel, Adam S., Vega, Ana, Kogevinas, Manolis, Penney, Kathryn L., Park, Jong Y., Stanford, Janet L., Cybulski, Cezary, Nordestgaard, Børge G., Nielsen, Sune F., Brenner, Hermann, Maier, Christiane, Kim, Jeri, John, Esther M., Teixeira, Manuel R., Neuhausen, Susan L., De Ruyck, Kim, Razack, Azad, Newcomb, Lisa F., Lessel, Davor, Kaneva, Radka, Usmani, Nawaid, Claessens, Frank, Townsend, Paul A., Castelao, Jose Esteban, Roobol, Monique J., Menegaux, Florence, Khaw, Kay Tee, Cannon-Albright, Lisa, Pandha, Hardev, Thibodeau, Stephen N., Hunter, David J., Kraft, Peter, Blot, William J., Riboli, Elio, Day, Felix R., Wijndaele, Katrien, Wareham, Nicholas J., Matthews, Charles E., Moore, Steven C., and Brage, Soren

Abstract

Background: The association of fitness with cancer risk is not clear. Methods: We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of lung, colorectal, endometrial, breast, and prostate cancer in a subset of UK Biobank participants who completed a submaximal fitness test in 2009-12 (N = 72,572). We also investigated relationships using two-sample Mendelian randomisation (MR), odds ratios (ORs) were estimated using the inverse-variance weighted method.Results: After a median of 11 years of follow-up, 4290 cancers of interest were diagnosed. A 3.5 ml O2⋅min−1⋅kg−1 total-body mass increase in fitness (equivalent to 1 metabolic equivalent of task (MET), approximately 0.5 standard deviation (SD)) was associated with lower risks of endometrial (HR = 0.81, 95% CI: 0.73–0.89), colorectal (0.94, 0.90–0.99), and breast cancer (0.96, 0.92–0.99). In MR analyses, a 0.5 SD increase in genetically predicted O2⋅min−1⋅kg−1 fat-free mass was associated with a lower risk of breast cancer (OR = 0.92, 95% CI: 0.86–0.98). After adjusting for adiposity, both the observational and genetic associations were attenuated. Discussion: Higher fitness levels may reduce risks of endometrial, colorectal, and breast cancer, though relationships with adiposity are complex and may mediate these relationships. Increasing fitness, including via changes in body composition, may be an effective strategy for cancer prevention.

Published
2024

29. Mammographic Texture versus Conventional Cumulus Measure of Density in Breast Cancer Risk Prediction: A Literature Review.

Author

Zhoufeng Ye, Nguyen, Tuong L., Dite, Gillian S., MacInnis, Robert J., Hopper, John L., and Shuai Li

Abstract

Mammographic textures show promise as breast cancer risk predictors, distinct from mammographic density. Yet, there is a lack of comprehensive evidence to determine the relative strengths as risk predictor of textures and density and the reliability of texture-based measures. We searched the PubMed database for research published up to November 2023, which assessed breast cancer risk associations [odds ratios (OR)] with texture-based measures and percent mammographic density (PMD), and their discrimination [area under the receiver operating characteristics curve (AUC)], using same datasets. Of 11 publications, for textures, six found stronger associations (P < 0.05) with 11% to 508% increases on the log scale by study, and four found weaker associations (P < 0.05) with 14% to 100% decreases, compared with PMD. Risk associations remained significant when fitting textures and PMD together. Eleven of 17 publications found greater AUCs for textures than PMD (P < 0.05); increases were 0.04 to 0.25 by study. Discrimination from PMD and these textures jointly was significantly higher than from PMD alone (P < 0.05). Therefore, different textures could capture distinct breast cancer risk information, partially independent of mammographic density, suggesting their joint role in breast cancer risk prediction. Some textures could outperform mammographic density for predicting breast cancer risk. However, obtaining reliable texture-based measures necessitates addressing various issues. Collaboration of researchers from diverse fields could be beneficial for advancing this complex field. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Differences in polygenic score distributions in European ancestry populations: implications for breast cancer risk prediction

Author

Yiangou, Kristia, primary, Mavaddat, Nasim, additional, Dennis, Joe, additional, Zanti, Maria, additional, Wang, Qin, additional, Bolla, Manjeet K., additional, Abubakar, Mustapha, additional, Ahearn, Thomas U., additional, Andrulis, Irene L., additional, Anton-Culver, Hoda, additional, Antonenkova, Natalia N., additional, Arndt, Volker, additional, Aronson, Kristan J., additional, Augustinsson, Annelie, additional, Baten, Adinda, additional, Behrens, Sabine, additional, Bermisheva, Marina, additional, Berrington de Gonzalez, Amy, additional, Bialkowska, Katarzyna, additional, Boddicker, Nicholas, additional, Bodelon, Clara, additional, Bogdanova, Natalia V., additional, Bojesen, Stig E., additional, Brantley, Kristen D., additional, Brauch, Hiltrud, additional, Brenner, Hermann, additional, Camp, Nicola J., additional, Canzian, Federico, additional, Castelao, Jose E., additional, Cessna, Melissa H., additional, Chang-Claude, Jenny, additional, Chenevix-Trench, Georgia, additional, Chung, Wendy K., additional, Collaborators, NBCS, additional, Colonna, Sarah V., additional, Couch, Fergus J., additional, Cox, Angela, additional, Cross, Simon S., additional, Czene, Kamila, additional, Daly, Mary B., additional, Devilee, Peter, additional, Dork, Thilo, additional, Dunning, Alison M., additional, Eccles, Diana M., additional, Eliassen, A. Heather, additional, Engel, Christoph, additional, Eriksson, Mikael, additional, Evans, D. Gareth, additional, Fasching, Peter A., additional, Fletcher, Olivia, additional, Flyger, Henrik, additional, Fritschi, Lin, additional, Gago-Dominguez, Manuela, additional, Gentry-Maharaj, Aleksandra, additional, Gonzalez-Neira, Anna, additional, Guenel, Pascal, additional, Hahnen, Eric, additional, Haiman, Christopher A., additional, Hamann, Ute, additional, Hartikainen, Jaana M., additional, Ho, Vikki, additional, Hodge, James, additional, Hollestelle, Antoinette, additional, Honisch, Ellen, additional, Hooning, Maartje J., additional, Hoppe, Reiner, additional, Hopper, John L., additional, Howell, Sacha, additional, Howell, Anthony, additional, Investigators, ABCTB, additional, Investigators, kConFab, additional, Jakovchevska, Simona, additional, Jakubowska, Anna, additional, Jernstrom, Helena, additional, Johnson, Nichola, additional, Kaaks, Rudolf, additional, Khusnutdinova, Elza K., additional, Kitahara, Cari M., additional, Koutros, Stella, additional, Kristensen, Vessela N., additional, Lacey, James V., additional, Lambrechts, Diether, additional, Lejbkowicz, Flavio, additional, Lindblom, Annika, additional, Lush, Michael, additional, Mannermaa, Arto, additional, Mavroudis, Dimitrios, additional, Menon, Usha, additional, Murphy, Rachel A., additional, Nevanlinna, Heli, additional, Obi, Nadia, additional, Offit, Kenneth, additional, Park-Simon, Tjoung-Won, additional, Patel, Alpa V., additional, Peng, Cheng, additional, Peterlongo, Paolo, additional, Pita, Guillermo, additional, Plaseska-Karanfilska, Dijana, additional, Pylkas, Katri, additional, Radice, Paolo, additional, Rashid, Muhammad U., additional, Rennert, Gad, additional, Roberts, Eleanor, additional, Rodriguez, Juan, additional, Romero, Atocha, additional, Rosenberg, Efraim H., additional, Saloustros, Emmanouil, additional, Sandler, Dale P., additional, Sawyer, Elinor J., additional, Schmutzler, Rita K., additional, Scott, Christopher G., additional, Shu, Xiao-Ou, additional, Southey, Melissa C., additional, Stone, Jennifer, additional, Taylor, Jack A., additional, Teras, Lauren R., additional, van de Beek, Irma, additional, Willett, Walter, additional, Winqvist, Robert, additional, Zheng, Wei, additional, Vachon, Celine M., additional, Schmidt, Marjanka K., additional, Hall, Per, additional, MacInnis, Robert J., additional, Milne, Roger L., additional, Pharoah, Paul D.P., additional, Simard, Jacques, additional, Antoniou, Antonis C., additional, Easton, Douglas F., additional, and Michailidou, Kyriaki, additional

Published
2024
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31. Data from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

Author

Ye, Zhoufeng, primary, Dite, Gillian S., primary, Nguyen, Tuong L., primary, MacInnis, Robert J., primary, Schmidt, Daniel F., primary, Makalic, Enes, primary, Al-Qershi, Osamah M., primary, Nguyen-Dumont, Tu, primary, Goudey, Benjamin, primary, Stone, Jennifer, primary, Dowty, James G., primary, Giles, Graham G., primary, Southey, Melissa C., primary, Hopper, John L., primary, and Li, Shuai, primary

Published
2024
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32. Supplementary Methods S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

Author

Ye, Zhoufeng, primary, Dite, Gillian S., primary, Nguyen, Tuong L., primary, MacInnis, Robert J., primary, Schmidt, Daniel F., primary, Makalic, Enes, primary, Al-Qershi, Osamah M., primary, Nguyen-Dumont, Tu, primary, Goudey, Benjamin, primary, Stone, Jennifer, primary, Dowty, James G., primary, Giles, Graham G., primary, Southey, Melissa C., primary, Hopper, John L., primary, and Li, Shuai, primary

Published
2024
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33. Supplementary Figure S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

Author

Ye, Zhoufeng, primary, Dite, Gillian S., primary, Nguyen, Tuong L., primary, MacInnis, Robert J., primary, Schmidt, Daniel F., primary, Makalic, Enes, primary, Al-Qershi, Osamah M., primary, Nguyen-Dumont, Tu, primary, Goudey, Benjamin, primary, Stone, Jennifer, primary, Dowty, James G., primary, Giles, Graham G., primary, Southey, Melissa C., primary, Hopper, John L., primary, and Li, Shuai, primary

Published
2024
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34. Supplementary Table S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

Author

Ye, Zhoufeng, primary, Dite, Gillian S., primary, Nguyen, Tuong L., primary, MacInnis, Robert J., primary, Schmidt, Daniel F., primary, Makalic, Enes, primary, Al-Qershi, Osamah M., primary, Nguyen-Dumont, Tu, primary, Goudey, Benjamin, primary, Stone, Jennifer, primary, Dowty, James G., primary, Giles, Graham G., primary, Southey, Melissa C., primary, Hopper, John L., primary, and Li, Shuai, primary

Published
2024
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35. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis

Author

Yarmolinsky, James, primary, Robinson, Jamie W., additional, Mariosa, Daniela, additional, Karhunen, Ville, additional, Huang, Jian, additional, Dimou, Niki, additional, Murphy, Neil, additional, Burrows, Kimberley, additional, Bouras, Emmanouil, additional, Smith-Byrne, Karl, additional, Lewis, Sarah J., additional, Galesloot, Tessel E., additional, Kiemeney, Lambertus A., additional, Vermeulen, Sita, additional, Martin, Paul, additional, Albanes, Demetrius, additional, Hou, Lifang, additional, Newcomb, Polly A., additional, White, Emily, additional, Wolk, Alicja, additional, Wu, Anna H., additional, Le Marchand, Loïc, additional, Phipps, Amanda I., additional, Buchanan, Daniel D., additional, Zhao, Sizheng Steven, additional, Gill, Dipender, additional, Chanock, Stephen J., additional, Purdue, Mark P., additional, Davey Smith, George, additional, Brennan, Paul, additional, Herzig, Karl-Heinz, additional, Järvelin, Marjo-Riitta, additional, Amos, Chris I., additional, Hung, Rayjean J., additional, Dehghan, Abbas, additional, Johansson, Mattias, additional, Gunter, Marc J., additional, Tsilidis, Kostas K., additional, Martin, Richard M., additional, Landi, Maria Teresa, additional, Stevens, Victoria, additional, Wang, Ying, additional, Albanes, Demetrios, additional, Caporaso, Neil, additional, Amos, Christopher I., additional, Shete, Sanjay, additional, Bickeböller, Heike, additional, Risch, Angela, additional, Houlston, Richard, additional, Lam, Stephen, additional, Tardon, Adonina, additional, Chen, Chu, additional, Bojesen, Stig E., additional, Wichmann, H-Erich, additional, Christiani, David, additional, Rennert, Gadi, additional, Arnold, Susanne, additional, Field, John K., additional, Le Marchand, Loic, additional, Melander, Olle, additional, Brunnström, Hans, additional, Liu, Geoffrey, additional, Andrew, Angeline, additional, Shen, Hongbing, additional, Zienolddiny, Shan, additional, Grankvist, Kjell, additional, Johansson, Mikael, additional, Teare, M. Dawn, additional, Hong, Yun-Chul, additional, Yuan, Jian-Min, additional, Lazarus, Philip, additional, Schabath, Matthew B., additional, Aldrich, Melinda C., additional, Eeles, Rosalind A., additional, Haiman, Christopher A., additional, Kote-Jarai, Zsofia, additional, Schumacher, Fredrick R., additional, Benlloch, Sara, additional, Al Olama, Ali Amin, additional, Muir, Kenneth R., additional, Berndt, Sonja I., additional, Conti, David V., additional, Wiklund, Fredrik, additional, Chanock, Stephen, additional, Tangen, Catherine M., additional, Batra, Jyotsna, additional, Clements, Judith A., additional, Grönberg, Henrik, additional, Pashayan, Nora, additional, Schleutker, Johanna, additional, Weinstein, Stephanie J., additional, West, Catharine M.L., additional, Mucci, Lorelei A., additional, Cancel-Tassin, Géraldine, additional, Koutros, Stella, additional, Sørensen, Karina Dalsgaard, additional, Grindedal, Eli Marie, additional, Neal, David E., additional, Hamdy, Freddie C., additional, Donovan, Jenny L., additional, Travis, Ruth C., additional, Hamilton, Robert J., additional, Ingles, Sue Ann, additional, Rosenstein, Barry S., additional, Lu, Yong-Jie, additional, Giles, Graham G., additional, MacInnis, Robert J., additional, Kibel, Adam S., additional, Vega, Ana, additional, Kogevinas, Manolis, additional, Penney, Kathryn L., additional, Park, Jong Y., additional, Stanfrod, Janet L., additional, Cybulski, Cezary, additional, Nordestgaard, Børge G., additional, Nielsen, Sune F., additional, Brenner, Hermann, additional, Maier, Christiane, additional, Logothetis, Christopher J., additional, John, Esther M., additional, Teixeira, Manuel R., additional, Neuhausen, Susan L., additional, De Ruyck, Kim, additional, Razack, Azad, additional, Newcomb, Lisa F., additional, Lessel, Davor, additional, Kaneva, Radka, additional, Usmani, Nawaid, additional, Claessens, Frank, additional, Townsend, Paul A., additional, Castelao, Jose Esteban, additional, Roobol, Monique J., additional, Menegaux, Florence, additional, Khaw, Kay-Tee, additional, Cannon-Albright, Lisa, additional, Pandha, Hardev, additional, Thibodeau, Stephen N., additional, Hunter, David J., additional, Kraft, Peter, additional, Blot, William J., additional, and Riboli, Elio, additional

Published
2024
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36. Table S2. from Adherence to 2018 WCRF/AICR Cancer Prevention Recommendations and Risk of Cancer: The Melbourne Collaborative Cohort Study

Author

Peng, Yang, primary, Bassett, Julie K., primary, Hodge, Allison M., primary, Melaku, Yohannes Adama, primary, Afshar, Nina, primary, Hopper, John L., primary, MacInnis, Robert J., primary, Lynch, Brigid M., primary, Smith-Warner, Stephanie A., primary, Giles, Graham G., primary, Milne, Roger L., primary, and Jayasekara, Harindra, primary

Published
2024
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37. Figure S1. from Adherence to 2018 WCRF/AICR Cancer Prevention Recommendations and Risk of Cancer: The Melbourne Collaborative Cohort Study

Author

Peng, Yang, primary, Bassett, Julie K., primary, Hodge, Allison M., primary, Melaku, Yohannes Adama, primary, Afshar, Nina, primary, Hopper, John L., primary, MacInnis, Robert J., primary, Lynch, Brigid M., primary, Smith-Warner, Stephanie A., primary, Giles, Graham G., primary, Milne, Roger L., primary, and Jayasekara, Harindra, primary

Published
2024
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38. Data from Adherence to 2018 WCRF/AICR Cancer Prevention Recommendations and Risk of Cancer: The Melbourne Collaborative Cohort Study

Author

Peng, Yang, primary, Bassett, Julie K., primary, Hodge, Allison M., primary, Melaku, Yohannes Adama, primary, Afshar, Nina, primary, Hopper, John L., primary, MacInnis, Robert J., primary, Lynch, Brigid M., primary, Smith-Warner, Stephanie A., primary, Giles, Graham G., primary, Milne, Roger L., primary, and Jayasekara, Harindra, primary

Published
2024
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39. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

Author

Conti, David V., Darst, Burcu F., Moss, Lilit C., Saunders, Edward J., Sheng, Xin, Chou, Alisha, Schumacher, Fredrick R., Olama, Ali Amin Al, Benlloch, Sara, Dadaev, Tokhir, Brook, Mark N., Sahimi, Ali, Hoffmann, Thomas J., Takahashi, Atushi, Matsuda, Koichi, Momozawa, Yukihide, Fujita, Masashi, Muir, Kenneth, Lophatananon, Artitaya, Wan, Peggy, Le Marchand, Loic, Wilkens, Lynne R., Stevens, Victoria L., Gapstur, Susan M., Carter, Brian D., Schleutker, Johanna, Tammela, Teuvo L. J., Sipeky, Csilla, Auvinen, Anssi, Giles, Graham G., Southey, Melissa C., MacInnis, Robert J., Cybulski, Cezary, Wokołorczyk, Dominika, Lubiński, Jan, Neal, David E., Donovan, Jenny L., Hamdy, Freddie C., Martin, Richard M., Nordestgaard, Børge G., Nielsen, Sune F., Weischer, Maren, Bojesen, Stig E., Røder, Martin Andreas, Iversen, Peter, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Horvath, Lisa, Clements, Judith A., Tilley, Wayne, Risbridger, Gail P., Gronberg, Henrik, Aly, Markus, Szulkin, Robert, Eklund, Martin, Nordström, Tobias, Pashayan, Nora, Dunning, Alison M., Ghoussaini, Maya, Travis, Ruth C., Key, Tim J., Riboli, Elio, Park, Jong Y., Sellers, Thomas A., Lin, Hui-Yi, Albanes, Demetrius, Weinstein, Stephanie J., Mucci, Lorelei A., Giovannucci, Edward, Lindstrom, Sara, Kraft, Peter, Hunter, David J., Penney, Kathryn L., Turman, Constance, Tangen, Catherine M., Goodman, Phyllis J., Thompson, Jr., Ian M., Hamilton, Robert J., Fleshner, Neil E., Finelli, Antonio, Parent, Marie-Élise, Stanford, Janet L., Ostrander, Elaine A., Geybels, Milan S., Koutros, Stella, Freeman, Laura E. Beane, Stampfer, Meir, Wolk, Alicja, Håkansson, Niclas, Andriole, Gerald L., Hoover, Robert N., Machiela, Mitchell J., Sørensen, Karina Dalsgaard, Borre, Michael, Blot, William J., Zheng, Wei, Yeboah, Edward D., Mensah, James E., Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Wu, Yudong, Zhao, Shan-Chao, Sun, Zan, Thibodeau, Stephen N., McDonnell, Shannon K., Schaid, Daniel J., West, Catharine M. L., Burnet, Neil, Barnett, Gill, Maier, Christiane, Schnoeller, Thomas, Luedeke, Manuel, Kibel, Adam S., Drake, Bettina F., Cussenot, Olivier, Cancel-Tassin, Géraldine, Menegaux, Florence, Truong, Thérèse, Koudou, Yves Akoli, John, Esther M., Grindedal, Eli Marie, Maehle, Lovise, Khaw, Kay-Tee, Ingles, Sue A., Stern, Mariana C., Vega, Ana, Gómez-Caamaño, Antonio, Fachal, Laura, Rosenstein, Barry S., Kerns, Sarah L., Ostrer, Harry, Teixeira, Manuel R., Paulo, Paula, Brandão, Andreia, Watya, Stephen, Lubwama, Alexander, Bensen, Jeannette T., Fontham, Elizabeth T. H., Mohler, James, Taylor, Jack A., Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Cannon-Albright, Lisa, Teerlink, Craig C., Huff, Chad D., Strom, Sara S., Multigner, Luc, Blanchet, Pascal, Brureau, Laurent, Kaneva, Radka, Slavov, Chavdar, Mitev, Vanio, Leach, Robin J., Weaver, Brandi, Brenner, Hermann, Cuk, Katarina, Holleczek, Bernd, Saum, Kai-Uwe, Klein, Eric A., Hsing, Ann W., Kittles, Rick A., Murphy, Adam B., Logothetis, Christopher J., Kim, Jeri, Neuhausen, Susan L., Steele, Linda, Ding, Yuan Chun, Isaacs, William B., Nemesure, Barbara, Hennis, Anselm J. M., Carpten, John, Pandha, Hardev, Michael, Agnieszka, De Ruyck, Kim, De Meerleer, Gert, Ost, Piet, Xu, Jianfeng, Razack, Azad, Lim, Jasmine, Teo, Soo-Hwang, Newcomb, Lisa F., Lin, Daniel W., Fowke, Jay H., Neslund-Dudas, Christine, Rybicki, Benjamin A., Gamulin, Marija, Lessel, Davor, Kulis, Tomislav, Usmani, Nawaid, Singhal, Sandeep, Parliament, Matthew, Claessens, Frank, Joniau, Steven, Van den Broeck, Thomas, Gago-Dominguez, Manuela, Castelao, Jose Esteban, Martinez, Maria Elena, Larkin, Samantha, Townsend, Paul A., Aukim-Hastie, Claire, Bush, William S., Aldrich, Melinda C., Crawford, Dana C., Srivastava, Shiv, Cullen, Jennifer C., Petrovics, Gyorgy, Casey, Graham, Roobol, Monique J., Jenster, Guido, van Schaik, Ron H. N., Hu, Jennifer J., Sanderson, Maureen, Varma, Rohit, McKean-Cowdin, Roberta, Torres, Mina, Mancuso, Nicholas, Berndt, Sonja I., Van Den Eeden, Stephen K., Easton, Douglas F., Chanock, Stephen J., Cook, Michael B., Wiklund, Fredrik, Nakagawa, Hidewaki, Witte, John S., Eeles, Rosalind A., Kote-Jarai, Zsofia, and Haiman, Christopher A.

Published
2021
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44. 10-year performance of four models of breast cancer risk: a validation study

Author

Terry, Mary Beth, Liao, Yuyan, Whittemore, Alice S, Leoce, Nicole, Buchsbaum, Richard, Zeinomar, Nur, Dite, Gillian S, Chung, Wendy K, Knight, Julia A, Southey, Melissa C, Milne, Roger L, Goldgar, David, Giles, Graham G, McLachlan, Sue-Anne, Friedlander, Michael L, Weideman, Prue C, Glendon, Gord, Nesci, Stephanie, Andrulis, Irene L, John, Esther M, Phillips, Kelly-Anne, Daly, Mary B, Buys, Saundra S, Hopper, John L, and MacInnis, Robert J

Published
2019
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45. Association between class III obesity (BMI of 40-59 kg/m2) and mortality: a pooled analysis of 20 prospective studies.

Author

Kitahara, Cari M, Flint, Alan J, Berrington de Gonzalez, Amy, Bernstein, Leslie, Brotzman, Michelle, MacInnis, Robert J, Moore, Steven C, Robien, Kim, Rosenberg, Philip S, Singh, Pramil N, Weiderpass, Elisabete, Adami, Hans Olov, Anton-Culver, Hoda, Ballard-Barbash, Rachel, Buring, Julie E, Freedman, D Michal, Fraser, Gary E, Beane Freeman, Laura E, Gapstur, Susan M, Gaziano, John Michael, Giles, Graham G, Håkansson, Niclas, Hoppin, Jane A, Hu, Frank B, Koenig, Karen, Linet, Martha S, Park, Yikyung, Patel, Alpa V, Purdue, Mark P, Schairer, Catherine, Sesso, Howard D, Visvanathan, Kala, White, Emily, Wolk, Alicja, Zeleniuch-Jacquotte, Anne, and Hartge, Patricia

Subjects
Humans, Obesity, Body Mass Index, Life Expectancy, Risk Factors, Prospective Studies, United States, Australia, Sweden, General & Internal Medicine, Medical and Health Sciences
Abstract

BackgroundThe prevalence of class III obesity (body mass index [BMI]≥40 kg/m2) has increased dramatically in several countries and currently affects 6% of adults in the US, with uncertain impact on the risks of illness and death. Using data from a large pooled study, we evaluated the risk of death, overall and due to a wide range of causes, and years of life expectancy lost associated with class III obesity.Methods and findingsIn a pooled analysis of 20 prospective studies from the United States, Sweden, and Australia, we estimated sex- and age-adjusted total and cause-specific mortality rates (deaths per 100,000 persons per year) and multivariable-adjusted hazard ratios for adults, aged 19-83 y at baseline, classified as obese class III (BMI 40.0-59.9 kg/m2) compared with those classified as normal weight (BMI 18.5-24.9 kg/m2). Participants reporting ever smoking cigarettes or a history of chronic disease (heart disease, cancer, stroke, or emphysema) on baseline questionnaires were excluded. Among 9,564 class III obesity participants, mortality rates were 856.0 in men and 663.0 in women during the study period (1976-2009). Among 304,011 normal-weight participants, rates were 346.7 and 280.5 in men and women, respectively. Deaths from heart disease contributed largely to the excess rates in the class III obesity group (rate differences = 238.9 and 132.8 in men and women, respectively), followed by deaths from cancer (rate differences = 36.7 and 62.3 in men and women, respectively) and diabetes (rate differences = 51.2 and 29.2 in men and women, respectively). Within the class III obesity range, multivariable-adjusted hazard ratios for total deaths and deaths due to heart disease, cancer, diabetes, nephritis/nephrotic syndrome/nephrosis, chronic lower respiratory disease, and influenza/pneumonia increased with increasing BMI. Compared with normal-weight BMI, a BMI of 40-44.9, 45-49.9, 50-54.9, and 55-59.9 kg/m2 was associated with an estimated 6.5 (95% CI: 5.7-7.3), 8.9 (95% CI: 7.4-10.4), 9.8 (95% CI: 7.4-12.2), and 13.7 (95% CI: 10.5-16.9) y of life lost. A limitation was that BMI was mainly ascertained by self-report.ConclusionsClass III obesity is associated with substantially elevated rates of total mortality, with most of the excess deaths due to heart disease, cancer, and diabetes, and major reductions in life expectancy compared with normal weight. Please see later in the article for the Editors' Summary.

Published
2014

46. Modifiable lifestyle risk factors and survival after diagnosis with multiple myeloma

Author

Cheah, Simon, primary, Bassett, Julie K., additional, Bruinsma, Fiona J., additional, Hopper, John, additional, Jayasekara, Harindra, additional, Joshua, Doug, additional, MacInnis, Robert J., additional, Prince, H. Miles, additional, Southey, Melissa C., additional, Vajdic, Claire M., additional, van Leeuwen, Marina T., additional, Wong Doo, Nicole, additional, Harrison, Simon J., additional, English, Dallas R., additional, Giles, Graham G., additional, and Milne, Roger L., additional

Published
2023
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47. Figure S3 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

Author

Lai, John, primary, Wong, Chi Kuen, primary, Schmidt, Daniel F., primary, Kapuscinski, Miroslaw K., primary, Alpen, Karen, primary, MacInnis, Robert J., primary, Buchanan, Daniel D., primary, Win, Aung K., primary, Figueiredo, Jane C., primary, Chan, Andrew T., primary, Harrison, Tabitha A., primary, Hoffmeister, Michael, primary, White, Emily, primary, Le Marchand, Loic, primary, Pai, Rish K., primary, Peters, Ulrike, primary, Hopper, John L., primary, Jenkins, Mark A., primary, and Makalic, Enes, primary

Published
2023
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48. Table S8 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

Author

Lai, John, primary, Wong, Chi Kuen, primary, Schmidt, Daniel F., primary, Kapuscinski, Miroslaw K., primary, Alpen, Karen, primary, MacInnis, Robert J., primary, Buchanan, Daniel D., primary, Win, Aung K., primary, Figueiredo, Jane C., primary, Chan, Andrew T., primary, Harrison, Tabitha A., primary, Hoffmeister, Michael, primary, White, Emily, primary, Le Marchand, Loic, primary, Pai, Rish K., primary, Peters, Ulrike, primary, Hopper, John L., primary, Jenkins, Mark A., primary, and Makalic, Enes, primary

Published
2023
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49. Data from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

Author

Lai, John, primary, Wong, Chi Kuen, primary, Schmidt, Daniel F., primary, Kapuscinski, Miroslaw K., primary, Alpen, Karen, primary, MacInnis, Robert J., primary, Buchanan, Daniel D., primary, Win, Aung K., primary, Figueiredo, Jane C., primary, Chan, Andrew T., primary, Harrison, Tabitha A., primary, Hoffmeister, Michael, primary, White, Emily, primary, Le Marchand, Loic, primary, Pai, Rish K., primary, Peters, Ulrike, primary, Hopper, John L., primary, Jenkins, Mark A., primary, and Makalic, Enes, primary

Published
2023
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