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1. Tunnelling with Full-Face Shielded Machines: A 3D Numerical Analysis of an Earth Pressure Balance (EPB) Excavation Sequence Using the Finite Element Method (FEM)

Author: Jonathan Tyrer, Chrysothemis Paraskevopoulou, Ravi Shah, Richard Miller, and Michael Kavvadas
Subjects: EPBM tunnelling, hardening–softening, hardening–softening small strain, three-dimensional tunnelling, shield tunnelling, FEM, Geology, QE1-996.5
Abstract: Urban tunnelling can be highly challenging, especially in areas where limited ground settlements and environmental disturbance is required. Mechanised tunnelling is usually preferred in such ground environments, specifically Slurry or EPBM (Earth Pressure Balance Machine), depending on the ground properties. Being able to predict the anticipated tunnel behaviour at the preliminary stages of the project can be very beneficial in optimising not only the design, but also control the construction activities and completion times. In practice, the short-term excavation response and support performance focus primarily on design, since most site characterisation inputs are focused on material properties gained from short-term testing. Although the analysis of tunnelling is a three-dimensional (3D) problem, conventional approaches and design methods employed during the design and construction of underground openings are often based on the ground’s static response in two dimensions (2D). In this paper, an initial 2D model is generated in PLAXIS2D and RS2 (Rocscience) to test advanced constitutive models and compare transverse settlement profiles; subsequently, a complete 3D FEM numerical model in RS3 (Rocscience) was used to simulate an Earth Pressure Balance (EPB) excavation sequence. The 3D numerical model simulates the relevant EPB components such as face pressure, TBM shield, backfilling of the tail void (time-dependent hardening of the grout) and gradual segmental lining erections in the longitudinal direction. The presented numerical approach can be used by tunnel designers and engineers to predict the soil response in EPBM tunnelling.
Published: 2023
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2. Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study

Author: Lathan Liou, Stephen Kaptoge, Joe Dennis, Mitul Shah, Jonathan Tyrer, Michael Inouye, Douglas F. Easton, and Paul D. P. Pharoah
Subjects: Polygenic risk score, Breast cancer, Coronary artery disease, Coronary heart disease, Cardiovascular disease, SEARCH, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background Advancements in cancer therapeutics have resulted in increases in cancer-related survival; however, there is a growing clinical dilemma. The current balancing of survival benefits and future cardiotoxic harms of oncotherapies has resulted in an increased burden of cardiovascular disease in breast cancer survivors. Risk stratification may help address this clinical dilemma. This study is the first to assess the association between a coronary artery disease-specific polygenic risk score and incident coronary artery events in female breast cancer survivors. Methods We utilized the Studies in Epidemiology and Research in Cancer Heredity prospective cohort involving 12,413 women with breast cancer with genotype information and without a baseline history of cardiovascular disease. Cause-specific hazard ratios for association of the polygenic risk score and incident coronary artery disease (CAD) were obtained using left-truncated Cox regression adjusting for age, genotype array, conventional risk factors such as smoking and body mass index, as well as other sociodemographic, lifestyle, and medical variables. Results Over a median follow-up of 10.3 years (IQR: 16.8) years, 750 incident fatal or non-fatal coronary artery events were recorded. A 1 standard deviation higher polygenic risk score was associated with an adjusted hazard ratio of 1.33 (95% CI 1.20, 1.47) for incident CAD. Conclusions This study provides evidence that a coronary artery disease-specific polygenic risk score can risk-stratify breast cancer survivors independently of other established cardiovascular risk factors.
Published: 2021
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3. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals

Author: Hongjie Chen, Arunabha Majumdar, Lu Wang, Siddhartha Kar, Kevin M. Brown, Helian Feng, Constance Turman, Joe Dennis, Douglas Easton, Kyriaki Michailidou, Jacques Simard, Timothy Bishop, Iona C. Cheng, Jeroen R. Huyghe, Stephanie L. Schmit, Tracy A. O’Mara, Amanda B. Spurdle, Puya Gharahkhani, Johannes Schumacher, Janusz Jankowski, Ines Gockel, Melissa L. Bondy, Richard S. Houlston, Robert B. Jenkins, Beatrice Melin, Corina Lesseur, Andy R. Ness, Brenda Diergaarde, Andrew F. Olshan, Christopher I. Amos, David C. Christiani, Maria T. Landi, James D. McKay, Myriam Brossard, Mark M. Iles, Matthew H. Law, Stuart MacGregor, Jonathan Beesley, Michelle R. Jones, Jonathan Tyrer, Stacey J. Winham, Alison P. Klein, Gloria Petersen, Donghui Li, Brian M. Wolpin, Rosalind A. Eeles, Christopher A. Haiman, Zsofia Kote-Jarai, Fredrick R. Schumacher, Paul Brennan, Stephen J. Chanock, Valerie Gaborieau, Mark P. Purdue, Paul Pharoah, Rayjean J. Hung, Laufey T. Amundadottir, Peter Kraft, Bogdan Pasaniuc, and Sara Lindström
Subjects: cancer, pleiotropy, fine-mapping, 5p15.33 region, TERT, CLPTM1L, Genetics, QH426-470
Abstract: Summary: Genome-wide association studies (GWASs) have identified thousands of cancer risk loci revealing many risk regions shared across multiple cancers. Characterizing the cross-cancer shared genetic basis can increase our understanding of global mechanisms of cancer development. In this study, we collected GWAS summary statistics based on up to 375,468 cancer cases and 530,521 controls for fourteen types of cancer, including breast (overall, estrogen receptor [ER]-positive, and ER-negative), colorectal, endometrial, esophageal, glioma, head/neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancer, to characterize the shared genetic basis of cancer risk. We identified thirteen pairs of cancers with statistically significant local genetic correlations across eight distinct genomic regions. Specifically, the 5p15.33 region, harboring the TERT and CLPTM1L genes, showed statistically significant local genetic correlations for multiple cancer pairs. We conducted a cross-cancer fine-mapping of the 5p15.33 region based on eight cancers that showed genome-wide significant associations in this region (ER-negative breast, colorectal, glioma, lung, melanoma, ovarian, pancreatic, and prostate cancer). We used an iterative analysis pipeline implementing a subset-based meta-analysis approach based on cancer-specific conditional analyses and identified ten independent cross-cancer associations within this region. For each signal, we conducted cross-cancer fine-mapping to prioritize the most plausible causal variants. Our findings provide a more in-depth understanding of the shared inherited basis across human cancers and expand our knowledge of the 5p15.33 region in carcinogenesis.
Published: 2021
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4. Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast–ovarian cancer susceptibility locus

Author: Kate Lawrenson, Siddhartha Kar, Karen McCue, Karoline Kuchenbaeker, Kyriaki Michailidou, Jonathan Tyrer, Jonathan Beesley, Susan J. Ramus, Qiyuan Li, Melissa K. Delgado, Janet M. Lee, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Banu K. Arun, Brita Arver, Elisa V. Bandera, Monica Barile, Rosa B. Barkardottir, Daniel Barrowdale, Matthias W. Beckmann, Javier Benitez, Andrew Berchuck, Maria Bisogna, Line Bjorge, Carl Blomqvist, William Blot, Natalia Bogdanova, Anders Bojesen, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Anne-Lise Børresen-Dale, Hiltrud Brauch, Paul Brennan, Hermann Brenner, Fiona Bruinsma, Joan Brunet, Shaik Ahmad Buhari, Barbara Burwinkel, Ralf Butzow, Saundra S. Buys, Qiuyin Cai, Trinidad Caldes, Ian Campbell, Rikki Canniotto, Jenny Chang-Claude, Jocelyne Chiquette, Ji-Yeob Choi, Kathleen B. M. Claes, GEMO Study Collaborators, Linda S. Cook, Angela Cox, Daniel W. Cramer, Simon S. Cross, Cezary Cybulski, Kamila Czene, Mary B. Daly, Francesca Damiola, Agnieszka Dansonka-Mieszkowska, Hatef Darabi, Joe Dennis, Peter Devilee, Orland Diez, Jennifer A. Doherty, Susan M. Domchek, Cecilia M. Dorfling, Thilo Dörk, Martine Dumont, Hans Ehrencrona, Bent Ejlertsen, Steve Ellis, EMBRACE, Christoph Engel, Eunjung Lee, D. Gareth Evans, Peter A. Fasching, Lidia Feliubadalo, Jonine Figueroa, Dieter Flesch-Janys, Olivia Fletcher, Henrik Flyger, Lenka Foretova, Florentia Fostira, William D. Foulkes, Brooke L. Fridley, Eitan Friedman, Debra Frost, Gaetana Gambino, Patricia A. Ganz, Judy Garber, Montserrat García-Closas, Aleksandra Gentry-Maharaj, Maya Ghoussaini, Graham G. Giles, Rosalind Glasspool, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Ellen L. Goode, Marc T. Goodman, Mark H. Greene, Jacek Gronwald, Pascal Guénel, Christopher A. Haiman, Per Hall, Emily Hallberg, Ute Hamann, Thomas V. O. Hansen, Patricia A. Harrington, Mikael Hartman, Norhashimah Hassan, Sue Healey, The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Florian Heitz, Josef Herzog, Estrid Høgdall, Claus K. Høgdall, Frans B. L. Hogervorst, Antoinette Hollestelle, John L. Hopper, Peter J. Hulick, Tomasz Huzarski, Evgeny N. Imyanitov, KConFab Investigators, Australian Ovarian Cancer Study Group, Claudine Isaacs, Hidemi Ito, Anna Jakubowska, Ramunas Janavicius, Allan Jensen, Esther M. John, Nichola Johnson, Maria Kabisch, Daehee Kang, Miroslav Kapuscinski, Beth Y. Karlan, Sofia Khan, Lambertus A. Kiemeney, Susanne Kruger Kjaer, Julia A. Knight, Irene Konstantopoulou, Veli-Matti Kosma, Vessela Kristensen, Jolanta Kupryjanczyk, Ava Kwong, Miguel de la Hoya, Yael Laitman, Diether Lambrechts, Nhu Le, Kim De Leeneer, Jenny Lester, Douglas A. Levine, Jingmei Li, Annika Lindblom, Jirong Long, Artitaya Lophatananon, Jennifer T. Loud, Karen Lu, Jan Lubinski, Arto Mannermaa, Siranoush Manoukian, Loic Le Marchand, Sara Margolin, Frederik Marme, Leon F. A. G. Massuger, Keitaro Matsuo, Sylvie Mazoyer, Lesley McGuffog, Catriona McLean, Iain McNeish, Alfons Meindl, Usha Menon, Arjen R. Mensenkamp, Roger L. Milne, Marco Montagna, Kirsten B. Moysich, Kenneth Muir, Anna Marie Mulligan, Katherine L. Nathanson, Roberta B. Ness, Susan L. Neuhausen, Heli Nevanlinna, Silje Nord, Robert L. Nussbaum, Kunle Odunsi, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Janet E. Olson, Curtis Olswold, David O’Malley, Irene Orlow, Nick Orr, Ana Osorio, Sue Kyung Park, Celeste L. Pearce, Tanja Pejovic, Paolo Peterlongo, Georg Pfeiler, Catherine M. Phelan, Elizabeth M. Poole, Katri Pylkäs, Paolo Radice, Johanna Rantala, Muhammad Usman Rashid, Gad Rennert, Valerie Rhenius, Kerstin Rhiem, Harvey A. Risch, Gus Rodriguez, Mary Anne Rossing, Anja Rudolph, Helga B. Salvesen, Suleeporn Sangrajrang, Elinor J. Sawyer, Joellen M. Schildkraut, Marjanka K. Schmidt, Rita K. Schmutzler, Thomas A. Sellers, Caroline Seynaeve, Mitul Shah, Chen-Yang Shen, Xiao-Ou Shu, Weiva Sieh, Christian F. Singer, Olga M. Sinilnikova, Susan Slager, Honglin Song, Penny Soucy, Melissa C. Southey, Marie Stenmark-Askmalm, Dominique Stoppa-Lyonnet, Christian Sutter, Anthony Swerdlow, Sandrine Tchatchou, Manuel R. Teixeira, Soo H. Teo, Kathryn L. Terry, Mary Beth Terry, Mads Thomassen, Maria Grazia Tibiletti, Laima Tihomirova, Silvia Tognazzo, Amanda Ewart Toland, Ian Tomlinson, Diana Torres, Thérèse Truong, Chiu-chen Tseng, Nadine Tung, Shelley S. Tworoger, Celine Vachon, Ans M. W. van den Ouweland, Helena C. van Doorn, Elizabeth J. van Rensburg, Laura J. Van't Veer, Adriaan Vanderstichele, Ignace Vergote, Joseph Vijai, Qin Wang, Shan Wang-Gohrke, Jeffrey N. Weitzel, Nicolas Wentzensen, Alice S. Whittemore, Hans Wildiers, Robert Winqvist, Anna H. Wu, Drakoulis Yannoukakos, Sook-Yee Yoon, Jyh-Cherng Yu, Wei Zheng, Ying Zheng, Kum Kum Khanna, Jacques Simard, Alvaro N. Monteiro, Juliet D. French, Fergus J. Couch, Matthew L. Freedman, Douglas F. Easton, Alison M. Dunning, Paul D. Pharoah, Stacey L. Edwards, Georgia Chenevix-Trench, Antonis C. Antoniou, and Simon A. Gayther
Subjects: Science
Abstract: A region on chromosome 19p13 is associated with the risk of developing ovarian and breast cancer. Here, the authors genotyped SNPs in this region in thousands of breast and ovarian cancer patients and identified SNPs associated with three genes, which were analysed with functional studies.
Published: 2016
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5. Supplementary Grant Support from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Grant Support
Published: 2023
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6. Supplementary Methods, Figures S1 - S3 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Figure S1. LocusZoom regional association plots for the seven new cross-cancer loci that were > 1 Mb from known index SNPs. Supplementary Figure S2A-B. Box plots showing eQTL associations between (A) rs9375701 and L3MBTL3 in normal breast and prostate tissues and (B) rs8037137 and RCCD1 in normal breast and ovarian tissues. Supplementary Figure S3. Interactions between BCL2L11 and the 32 Biocarta "Death Pathway" genes. Interactions were identified using the GeneMania server. Circles contain gene names, lines represent interactions, and the color of the line indicates a specific type of interaction as listed in the legend.
Published: 2023
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7. Supplementary Tables S1 - S10 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Table S1. Known risk loci for each cancer. Supplementary Table S2. Regions where known index SNPs for at least two of the three cancers lie within 1 Mb of each other. Supplementary Table S3. Full results from the meta-analysis of breast, ovarian, and prostate cancer showing the 18 independent loci associated at P < 10-8 with the same direction of effect across all three cancers. Supplementary Table S4. Conditional analysis of the rs1469713 (breast-ovarian-prostate cancer) signal, conditioning on the rs4808801 (breast cancer-specific) signal that was < 1 Mb away using GCTA software. Supplementary Table S5. Most significantly-associated genotyped SNP at new loci where index SNPs were imputed. Supplementary Table S6. Expression QTL analysis results from the GTEx Portal for the new cross-cancer risk loci listed in main Table 2. Supplementary Table S7. SNPs with P < 10-8 at the new cross-cancer risk loci listed in main Table 2 that overlap predicted enhancers in at least two cell types. Supplementary Table S8. HaploReg and non-coding RNA annotation of variants with P < 10-8 at the new cross-cancer risk loci listed in main Table 2. Supplementary Table S9. Eight of the 32 genes involved in induction of apoptosis through DR3 and DR4/5 Death Receptors (MSigDB: Biocarta "Death Pathway") a that were < 1 Mb away from an independent P < 10-5 index SNP in the 3-cancer meta-analysis. Supplementary Table S10. INRICH pathway analysis results for pathways with empirical P < 0.05. Apoptosis-related pathways containing BCL2L11 are shaded.
Published: 2023
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8. Supplementary Tables 1 - 4 from Large-Scale Evaluation of Common Variation in Regulatory T Cell–Related Genes and Ovarian Cancer Outcome

Author: Ellen L. Goode, Keith L. Knutson, Lara E. Sucheston, Kunle Odunsi, Roberta B. Ness, Simon A. Gayther, Paul D.P. Pharoah, Georgia Chenevix-Trench, Mary Anne Rossing, Daniel W. Cramer, Celeste Leigh Pearce, Joellen M. Schildkraut, Usha Menon, Susanne K. Kjaer, Douglas A. Levine, Jacek Gronwald, Hoda Anton Culver, Alice S. Whittemore, Beth Y. Karlan, Diether Lambrechts, Nicolas Wentzensen, Jolanta Kupryjanczyk, Jenny Chang-Claude, Elisa V. Bandera, Estrid Hogdall, Florian Heitz, Stanley B. Kaye, Gottfried Konecny, Peter A. Fasching, Ian Campbell, Marc T. Goodman, Tanja Pejovic, Yukie T. Bean, Laura E. Hays, Galina Lurie, Diana Eccles, Alexander Hein, Matthias W. Beckmann, Arif B. Ekici, James Paul, Robert Brown, James M. Flanagan, Philipp Harter, Andreas du Bois, Ira Schwaab, Claus K. Hogdall, Sara H. Olson, Lene Lundvall, Irene Orlow, Lisa E. Paddock, Anja Rudolph, Petra Seibold, Agnieszka Dansonka-Mieszkowska, Iwona K. Rzepecka, Beata Spiewankiewicz, Louise A. Brinton, Hannah Yang, Montserrat Garcia-Closas, Evelyn Despierre, Sandrina Lambrechts, Ignace Vergote, Christine Walsh, Jenny Lester, Weiva Sieh, Valerie McGuire, Joseph H. Rothstein, Argyrios Ziogas, Jan Lubiński, Cezary Cybulski, Janusz Menkiszak, Allan Jensen, Howard Shen, Brenda Diergaarde, Susan J. Ramus, Aleksandra Gentry-Maharaj, Andrew Berchuck, Anna H. Wu, Malcolm C. Pike, David Van Den Berg, Kathryn L. Terry, Allison F. Vitonis, Starr M. Ramirez, Thomas A. Sellers, Catherine M. Phelan, Jennifer A. Doherty, Sharon E. Johnatty, Anna deFazio, Honglin Song, Jonathan Tyrer, Chen Wang, Kate Lawrenson, Lynn C. Hartmann, Claudia Preston, David N. Rider, Julie M. Cunningham, Brooke L. Fridley, Krista M. Goergen, Matthew J. Maurer, Matthew S. Block, Zachary C. Fogarty, Robert A. Vierkant, Ann L. Oberg, Kimberly R. Kalli, Kirsten B. Moysich, and Bridget Charbonneau
Abstract: PDF file - 157K, Supplemental Table 1. Regulatory T cell genes included in this study (N=25). Supplemental Table 2. Regulatory T cell SNPs included in this study. Supplemental Table 3. Participating invasive epithelial ovarian cancer studies. Supplemental Table 4. Association between clinical variables and overall survival.
Published: 2023
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9. Data from Large-Scale Evaluation of Common Variation in Regulatory T Cell–Related Genes and Ovarian Cancer Outcome

Author: Ellen L. Goode, Keith L. Knutson, Lara E. Sucheston, Kunle Odunsi, Roberta B. Ness, Simon A. Gayther, Paul D.P. Pharoah, Georgia Chenevix-Trench, Mary Anne Rossing, Daniel W. Cramer, Celeste Leigh Pearce, Joellen M. Schildkraut, Usha Menon, Susanne K. Kjaer, Douglas A. Levine, Jacek Gronwald, Hoda Anton Culver, Alice S. Whittemore, Beth Y. Karlan, Diether Lambrechts, Nicolas Wentzensen, Jolanta Kupryjanczyk, Jenny Chang-Claude, Elisa V. Bandera, Estrid Hogdall, Florian Heitz, Stanley B. Kaye, Gottfried Konecny, Peter A. Fasching, Ian Campbell, Marc T. Goodman, Tanja Pejovic, Yukie T. Bean, Laura E. Hays, Galina Lurie, Diana Eccles, Alexander Hein, Matthias W. Beckmann, Arif B. Ekici, James Paul, Robert Brown, James M. Flanagan, Philipp Harter, Andreas du Bois, Ira Schwaab, Claus K. Hogdall, Sara H. Olson, Lene Lundvall, Irene Orlow, Lisa E. Paddock, Anja Rudolph, Petra Seibold, Agnieszka Dansonka-Mieszkowska, Iwona K. Rzepecka, Beata Spiewankiewicz, Louise A. Brinton, Hannah Yang, Montserrat Garcia-Closas, Evelyn Despierre, Sandrina Lambrechts, Ignace Vergote, Christine Walsh, Jenny Lester, Weiva Sieh, Valerie McGuire, Joseph H. Rothstein, Argyrios Ziogas, Jan Lubiński, Cezary Cybulski, Janusz Menkiszak, Allan Jensen, Howard Shen, Brenda Diergaarde, Susan J. Ramus, Aleksandra Gentry-Maharaj, Andrew Berchuck, Anna H. Wu, Malcolm C. Pike, David Van Den Berg, Kathryn L. Terry, Allison F. Vitonis, Starr M. Ramirez, Thomas A. Sellers, Catherine M. Phelan, Jennifer A. Doherty, Sharon E. Johnatty, Anna deFazio, Honglin Song, Jonathan Tyrer, Chen Wang, Kate Lawrenson, Lynn C. Hartmann, Claudia Preston, David N. Rider, Julie M. Cunningham, Brooke L. Fridley, Krista M. Goergen, Matthew J. Maurer, Matthew S. Block, Zachary C. Fogarty, Robert A. Vierkant, Ann L. Oberg, Kimberly R. Kalli, Kirsten B. Moysich, and Bridget Charbonneau
Abstract: The presence of regulatory T cells (Treg) in solid tumors is known to play a role in patient survival in ovarian cancer and other malignancies. We assessed inherited genetic variations via 749 tag single-nucleotide polymorphisms (SNP) in 25 Treg-associated genes (CD28, CTLA4, FOXP3, IDO1, IL10, IL10RA, IL15, 1L17RA, IL23A, IL23R, IL2RA, IL6, IL6R, IL8, LGALS1, LGALS9, MAP3K8, STAT5A, STAT5B, TGFB1, TGFB2, TGFB3, TGFBR1, TGRBR2, and TGFBR3) in relation to ovarian cancer survival. We analyzed genotype and overall survival in 10,084 women with invasive epithelial ovarian cancer, including 5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous carcinoma cases of European descent across 28 studies from the Ovarian Cancer Association Consortium (OCAC). The strongest associations were found for endometrioid carcinoma and IL2RA SNPs rs11256497 [HR, 1.42; 95% confidence interval (CI), 1.22–1.64; P = 5.7 × 10−6], rs791587 (HR, 1.36; 95% CI, 1.17–1.57; P = 6.2 × 10−5), rs2476491 (HR, = 1.40; 95% CI, 1.19–1.64; P = 5.6 × 10−5), and rs10795763 (HR, 1.35; 95% CI, 1.17–1.57; P = 7.9 × 10−5), and for clear cell carcinoma and CTLA4 SNP rs231775 (HR, 0.67; 95% CI, 0.54–0.82; P = 9.3 × 10−5) after adjustment for age, study site, population stratification, stage, grade, and oral contraceptive use. The rs231775 allele associated with improved survival in our study also results in an amino acid change in CTLA4 and previously has been reported to be associated with autoimmune conditions. Thus, we found evidence that SNPs in genes related to Tregs seem to play a role in ovarian cancer survival, particularly in patients with clear cell and endometrioid epithelial ovarian cancer. Cancer Immunol Res; 2(4); 332–40. ©2014 AACR.
Published: 2023
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10. Data from Replication of Genetic Polymorphisms Reported to Be Associated with Taxane-Related Sensory Neuropathy in Patients with Early Breast Cancer Treated with Paclitaxel

Author: Helena M. Earl, Paul P.D. Pharoah, Carlos Caldas, Christopher J. Poole, Janet A. Dunn, Sarah J. Bowden, Linda Jones, Russell Burns, Louise Hiller, Anne-Laure Vallier, Richard Hardy, Susan Ingle, Jonathan Tyrer, Leila Dorling, Qi Guo, and Jean E. Abraham
Abstract: Purpose: Associations between taxane-related sensory neuropathy (TRSN) and single-nucleotide polymorphisms (SNP) have previously been reported, but few have been replicated in large, independent validation studies. This study evaluates the association between previously investigated SNPs and TRSN, using genotype data from a study of chemotherapy-related toxicity in patients with breast cancer.Experimental Design: We investigated 73 SNPs in 50 genes for their contribution to TRSN risk, using genotype data from 1,303 European patients. TRSN was assessed using National Cancer Institute common toxicity criteria for adverse events classification. Unconditional logistic regression evaluated the association between each SNP and TRSN risk (primary analysis). Cox regression analysis assessed the association between each SNP and cumulative taxane dose causing the first reported moderate/severe TRSN (secondary analysis). The admixture likelihood (AML) test, which considers all SNPs with a prior probability of association with TRSN together, tested the hypothesis that certain SNPs are truly associated.Results: The AML test provided strong evidence for the association of some SNPs with TRSN (P = 0.023). The two most significantly associated SNPs were rs3213619(ABCB1) [OR = 0.47; 95% confidence interval (CI), 0.28–0.79; P = 0.004] and rs9501929(TUBB2A) (OR = 1.80; 95% CI, 1.20–2.72; P = 0.005). A further 9 SNPs were significant at P-value ≤ 0.05.Conclusion: This is currently the largest study investigating SNPs associated with TRSN. We found strong evidence that SNPs within genes in taxane pharmacokinetic and pharmacodynamic pathways contribute to TRSN risk. However, a large proportion of the inter-individual variability in TRSN remains unexplained. Further validated results from GWAS will help to identify new pathways, genes, and SNPs involved in TRSN susceptibility. Clin Cancer Res; 20(9); 2466–75. ©2014 AACR.
Published: 2023
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11. Supplementary Tables 1 - 5, Figures 1 - 2 from Replication of Genetic Polymorphisms Reported to Be Associated with Taxane-Related Sensory Neuropathy in Patients with Early Breast Cancer Treated with Paclitaxel

Author: Helena M. Earl, Paul P.D. Pharoah, Carlos Caldas, Christopher J. Poole, Janet A. Dunn, Sarah J. Bowden, Linda Jones, Russell Burns, Louise Hiller, Anne-Laure Vallier, Richard Hardy, Susan Ingle, Jonathan Tyrer, Leila Dorling, Qi Guo, and Jean E. Abraham
Abstract: PDF file - 237KB, Supplementary Table 1: Published Studies of Putative Functional SNPs Supplementary Table 2a: Drug Regimens and Doses of Taxanes by Study Supplementary Table 2b: Comparison of Toxicity grades/rates by recruiting trial in PGSNPS included in Taxane Related Sensory Neuropathy Study Supplementary Table 3: PGSNPS Taxane Treated Patient Characteristics Supplementary Table 4: All Putative Functional SNPs Replicated in the PGSNPS dataset (phenotype: cumulative dose to TRSN) Supplementary Table 5: All Putative Functional SNPs Replicated in the PGSNPS dataset (phenotype: maximum TRSN) Supplementary Figure 1: Percentage of Patients with TRSN ≥ grade 2 by genotype, for three statistically significant SNPs that were genotyped in PGSNPS (maximum TRSN) Supplementary Figures 2a-c: Kaplan-Meier curves Kaplan-Meier curves: Shows for each SNP, by genotype, the probability of TRSN grade 0-1 (i.e., the probability of not experiencing moderate/severe TRSN) as the cumulative dose increases.
Published: 2023
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12. Supplementary Table 2 from Gene Set Analysis of Survival Following Ovarian Cancer Implicates Macrolide Binding and Intracellular Signaling Genes

Author: Ellen L. Goode, Thomas A. Sellers, Paul D.P. Pharoah, Lynn C. Hartmann, Simon A. Gayther, Rebecca Sutphen, Joellen Schildkraut, Aleksandra Gentry-Maharaj, Usha Menon, Ed Iversen, Y. Ann Chen, Zhihua Chen, Robert A. Vierkant, Julie M. Cunningham, Susan J. Ramus, Jonathan Tyrer, David Fenstermacher, Kelly L. Bolton, Honglin Song, Ya-Yu Tsai, Gregory D. Jenkins, and Brooke L. Fridley
Abstract: PDF file - 130K
Published: 2023
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13. Data from Variation in NF-κB Signaling Pathways and Survival in Invasive Epithelial Ovarian Cancer

Author: Ellen L. Goode, Julie M. Cunningham, Brooke L. Fridley, Kimberly R. Kalli, Jonathan Tyrer, Honglin Song, Anna deFazio, Sharon E. Johnatty, Jennifer A. Doherty, Catherine M. Phelan, Thomas A. Sellers, Keith L. Knutson, David N. Rider, Starr M. Ramirez, Allison F. Vitonis, Kathryn L. Terry, David Van Den Berg, Malcolm C. Pike, Anna H. Wu, Andrew Berchuck, Aleksandra Gentry-Maharaj, Susan J. Ramus, Simon A. Gayther, Allan Jensen, Janusz Menkiszak, Cezary Cybulski, Jan Lubiński, Argyrios Ziogas, Joseph H. Rothstein, Valerie McGuire, Weiva Sieh, Jenny Lester, Christine S. Walsh, Ignace Vergote, Sandrina Lambrechts, Evelyn Despierre, Montserrat Garcia-Closas, Hannah Yang, Louise A. Brinton, Izabela Ziolkowska-Seta, Iwona K. Rzepecka, Agnieszka Dansonka-Mieszkowska, Ursula Eilber, Anja Rudolph, Lisa E. Paddock, Irene Orlow, Sara H. Olson, Lene Lundvall, Claus K. Hogdall, Ira Schwaab, Andreas du Bois, Philipp Harter, James M. Flanagan, Robert Brown, James Paul, Arif B. Ekici, Matthias W. Beckmann, Alexander Hein, Diana Eccles, Galina Lurie, Laura E. Hays, Yukie T. Bean, Tanja Pejovic, Marc T. Goodman, Ian Campbell, Peter A. Fasching, Stanley B. Kaye, Florian Heitz, Estrid Hogdall, Elisa V. Bandera, Jenny Chang-Claude, Jolanta Kupryjanczyk, Nicolas Wentzensen, Diether Lambrechts, Beth Y. Karlan, Alice S. Whittemore, Hoda Anton Culver, Jacek Gronwald, Douglas A. Levine, Susanne K. Kjaer, Usha Menon, Joellen Schildkraut, Celeste Leigh Pearce, Daniel Cramer, Mary Anne Rossing, Paul D.P. Pharoah, William R. Bamlet, Zachary Fogarty, Robert A. Vierkant, Bridget Charbonneau, and Matthew S. Block
Abstract: Survival in epithelial ovarian cancer (EOC) is influenced by the host immune response, yet the key genetic determinants of inflammation and immunity that affect prognosis are not known. The nuclear factor-κB (NF-κB) transcription factor family plays an important role in many immune and inflammatory responses, including the response to cancer. We studied common inherited variation in 210 genes in the NF-κB family in 10,084 patients with invasive EOC (5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous) from the Ovarian Cancer Association Consortium. Associations between genotype and overall survival were assessed using Cox regression for all patients and by major histology, adjusting for known prognostic factors and correcting for multiple testing (threshold for statistical significance, P < 2.5 × 10−5). Results were statistically significant when assessed for patients of a single histology. Key associations were with caspase recruitment domain family, member 11 (CARD11) rs41324349 in patients with mucinous EOC [HR, 1.82; 95% confidence interval (CI), 1.41–2.35; P = 4.13 × 10−6] and tumor necrosis factor receptor superfamily, member 13B (TNFRSF13B) rs7501462 in patients with endometrioid EOC (HR, 0.68; 95% CI, 0.56–0.82; P = 2.33 × 10−5). Other associations of note included TNF receptor–associated factor 2 (TRAF2) rs17250239 in patients with high-grade serous EOC (HR, 0.84; 95% CI, 0.77–0.92; P = 6.49 × 10−5) and phospholipase C, gamma 1 (PLCG1) rs11696662 in patients with clear cell EOC (HR, 0.43; 95% CI, 0.26–0.73; P = 4.56 × 10−4). These associations highlight the potential importance of genes associated with host inflammation and immunity in modulating clinical outcomes in distinct EOC histologies. Cancer Epidemiol Biomarkers Prev; 23(7); 1421–7. ©2014 AACR.
Published: 2023
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14. Supplementary Table 1 from Gene Set Analysis of Survival Following Ovarian Cancer Implicates Macrolide Binding and Intracellular Signaling Genes

Author: Ellen L. Goode, Thomas A. Sellers, Paul D.P. Pharoah, Lynn C. Hartmann, Simon A. Gayther, Rebecca Sutphen, Joellen Schildkraut, Aleksandra Gentry-Maharaj, Usha Menon, Ed Iversen, Y. Ann Chen, Zhihua Chen, Robert A. Vierkant, Julie M. Cunningham, Susan J. Ramus, Jonathan Tyrer, David Fenstermacher, Kelly L. Bolton, Honglin Song, Ya-Yu Tsai, Gregory D. Jenkins, and Brooke L. Fridley
Abstract: PDF file - 77K
Published: 2023
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15. Supplementary Tables 1 through 3 from Variation in NF-κB Signaling Pathways and Survival in Invasive Epithelial Ovarian Cancer

Author: Ellen L. Goode, Julie M. Cunningham, Brooke L. Fridley, Kimberly R. Kalli, Jonathan Tyrer, Honglin Song, Anna deFazio, Sharon E. Johnatty, Jennifer A. Doherty, Catherine M. Phelan, Thomas A. Sellers, Keith L. Knutson, David N. Rider, Starr M. Ramirez, Allison F. Vitonis, Kathryn L. Terry, David Van Den Berg, Malcolm C. Pike, Anna H. Wu, Andrew Berchuck, Aleksandra Gentry-Maharaj, Susan J. Ramus, Simon A. Gayther, Allan Jensen, Janusz Menkiszak, Cezary Cybulski, Jan Lubiński, Argyrios Ziogas, Joseph H. Rothstein, Valerie McGuire, Weiva Sieh, Jenny Lester, Christine S. Walsh, Ignace Vergote, Sandrina Lambrechts, Evelyn Despierre, Montserrat Garcia-Closas, Hannah Yang, Louise A. Brinton, Izabela Ziolkowska-Seta, Iwona K. Rzepecka, Agnieszka Dansonka-Mieszkowska, Ursula Eilber, Anja Rudolph, Lisa E. Paddock, Irene Orlow, Sara H. Olson, Lene Lundvall, Claus K. Hogdall, Ira Schwaab, Andreas du Bois, Philipp Harter, James M. Flanagan, Robert Brown, James Paul, Arif B. Ekici, Matthias W. Beckmann, Alexander Hein, Diana Eccles, Galina Lurie, Laura E. Hays, Yukie T. Bean, Tanja Pejovic, Marc T. Goodman, Ian Campbell, Peter A. Fasching, Stanley B. Kaye, Florian Heitz, Estrid Hogdall, Elisa V. Bandera, Jenny Chang-Claude, Jolanta Kupryjanczyk, Nicolas Wentzensen, Diether Lambrechts, Beth Y. Karlan, Alice S. Whittemore, Hoda Anton Culver, Jacek Gronwald, Douglas A. Levine, Susanne K. Kjaer, Usha Menon, Joellen Schildkraut, Celeste Leigh Pearce, Daniel Cramer, Mary Anne Rossing, Paul D.P. Pharoah, William R. Bamlet, Zachary Fogarty, Robert A. Vierkant, Bridget Charbonneau, and Matthew S. Block
Abstract: PDF - 149K, Supplemental Table 1. Participating invasive epithelial ovarian cancer studies. Supplementary Table 2. NF-κB genes studied. Supplemental Table 3. Association between clinical variables and overall survival.
Published: 2023
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16. Supplemental Tables and Figures from Integration of Population-Level Genotype Data with Functional Annotation Reveals Over-Representation of Long Noncoding RNAs at Ovarian Cancer Susceptibility Loci

Author: Thomas A. Sellers, Simon A. Gayther, Jin Q. Cheng, Joellen M. Schildkraut, Mary Anne Rossing, Susan J. Ramus, Catherine M. Phelan, Paul D. Pharoah, Celeste L. Pearce, Kate Lawrenson, Edwin S. Iverson, Ellen L. Goode, Jennifer A. Doherty, Georgia Chenevix-Trench, Andrew Berchuck, Jonathan Tyrer, Zhihua Chen, Alvaro N.A. Monteiro, Jamie K. Teer, Y. Ann Chen, Jennifer B. Permuth, and Brett M. Reid
Abstract: Supplemental Figure S1. Flowchart for epigenomic annotation of lncRNAs. Supplemental Figure S2. Distribution of ovarian tissue histone marks in lncRNA genes. Supplemental Table S1. Study participants for GWAS meta-analysis of epithelial ovarian cancer. Supplemental Figure S3. Distribution of number of EOC risk SNPs for 10,000 permutations of lncRNA-sized regions. Supplemental Table S2. SNPs associated with risk for less common ovarian cancer subtypes are not enriched in lncRNAs. Supplemental Figure S4. Genomic coverage of GENCODE v19 lncRNA genes (n=13,442 with GWAS SNPs). Supplemental Table S3. Density of EOC-associated SNPs in lncRNA genes versus whole genome (All histologies). Supplemental Table S4. Density of EOC-associated SNPs in lncRNA genes by histologic subtype. Supplemental Table S5. Promoter and transcription factor motifs enriched in EOC-associated lncRNA regions. Supplemental Table S6. Biological processes of putative promoter and transcription factors enriched in 53 EOC-associated lncRNA. Supplemental Figure S5. Regional plots for five novel loci associated with EOC risk and expression of lncRNA genes.
Published: 2023
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17. Data from Gene Set Analysis of Survival Following Ovarian Cancer Implicates Macrolide Binding and Intracellular Signaling Genes

Author: Ellen L. Goode, Thomas A. Sellers, Paul D.P. Pharoah, Lynn C. Hartmann, Simon A. Gayther, Rebecca Sutphen, Joellen Schildkraut, Aleksandra Gentry-Maharaj, Usha Menon, Ed Iversen, Y. Ann Chen, Zhihua Chen, Robert A. Vierkant, Julie M. Cunningham, Susan J. Ramus, Jonathan Tyrer, David Fenstermacher, Kelly L. Bolton, Honglin Song, Ya-Yu Tsai, Gregory D. Jenkins, and Brooke L. Fridley
Abstract: Background: Genome-wide association studies (GWAS) for epithelial ovarian cancer (EOC), the most lethal gynecologic malignancy, have identified novel susceptibility loci. GWAS for survival after EOC have had more limited success. The association of each single-nucleotide polymorphism (SNP) individually may not be well suited to detect small effects of multiple SNPs, such as those operating within the same biologic pathway. Gene set analysis (GSA) overcomes this limitation by assessing overall evidence for association of a phenotype with all measured variation in a set of genes.Methods: To determine gene sets associated with EOC overall survival, we conducted GSA using data from two large GWAS (N cases = 2,813, N deaths = 1,116), with a novel Principal Component-Gamma GSA method. Analysis was completed for all cases and then separately for high-grade serous histologic subtype.Results: Analysis of the high-grade serous subjects resulted in 43 gene sets with P < 0.005 (1.7%); of these, 21 gene sets had P < 0.10 in both GWAS, including intracellular signaling pathway (P = 7.3 × 10−5) and macrolide binding (P = 6.2 × 10−4) gene sets. The top gene sets in analysis of all cases were meiotic mismatch repair (P = 6.3 × 10−4) and macrolide binding (P = 1.0 × 10−3). Of 18 gene sets with P < 0.005 (0.7%), eight had P < 0.10 in both GWAS.Conclusion: This research detected novel gene sets associated with EOC survival.Impact: Novel gene sets associated with EOC survival might lead to new insights and avenues for development of novel therapies for EOC and pharmacogenomic studies. Cancer Epidemiol Biomarkers Prev; 21(3); 529–36. ©2012 AACR.
Published: 2023
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18. Supplementary Tables S1-S4 from Common Polymorphisms in the Prostaglandin Pathway Genes and Their Association with Breast Cancer Susceptibility and Survival

Author: Paul D.P. Pharoah, Alison M. Dunning, Douglas F. Easton, Jonathan Tyrer, Kristy E. Driver, Patricia Harrington, and Jean E. Abraham
Abstract: Supplementary Tables S1-S4 from Common Polymorphisms in the Prostaglandin Pathway Genes and Their Association with Breast Cancer Susceptibility and Survival
Published: 2023
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19. Supplementary Table 3 from Gene Set Analysis of Survival Following Ovarian Cancer Implicates Macrolide Binding and Intracellular Signaling Genes

Author: Ellen L. Goode, Thomas A. Sellers, Paul D.P. Pharoah, Lynn C. Hartmann, Simon A. Gayther, Rebecca Sutphen, Joellen Schildkraut, Aleksandra Gentry-Maharaj, Usha Menon, Ed Iversen, Y. Ann Chen, Zhihua Chen, Robert A. Vierkant, Julie M. Cunningham, Susan J. Ramus, Jonathan Tyrer, David Fenstermacher, Kelly L. Bolton, Honglin Song, Ya-Yu Tsai, Gregory D. Jenkins, and Brooke L. Fridley
Abstract: PDF file - 83K
Published: 2023
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20. Data from Integration of Population-Level Genotype Data with Functional Annotation Reveals Over-Representation of Long Noncoding RNAs at Ovarian Cancer Susceptibility Loci

Author: Thomas A. Sellers, Simon A. Gayther, Jin Q. Cheng, Joellen M. Schildkraut, Mary Anne Rossing, Susan J. Ramus, Catherine M. Phelan, Paul D. Pharoah, Celeste L. Pearce, Kate Lawrenson, Edwin S. Iverson, Ellen L. Goode, Jennifer A. Doherty, Georgia Chenevix-Trench, Andrew Berchuck, Jonathan Tyrer, Zhihua Chen, Alvaro N.A. Monteiro, Jamie K. Teer, Y. Ann Chen, Jennifer B. Permuth, and Brett M. Reid
Abstract: Background: Genome-wide association studies (GWAS) have identified multiple loci associated with epithelial ovarian cancer (EOC) susceptibility, but further progress requires integration of epidemiology and biology to illuminate true risk loci below genome-wide significance levels (P < 5 × 10−8). Most risk SNPs lie within non–protein-encoding regions, and we hypothesize that long noncoding RNA (lncRNA) genes are enriched at EOC risk regions and represent biologically relevant functional targets.Methods: Using imputed GWAS data from about 18,000 invasive EOC cases and 34,000 controls of European ancestry, the GENCODE (v19) lncRNA database was used to annotate SNPs from 13,442 lncRNAs for permutation-based enrichment analysis. Tumor expression quantitative trait locus (eQTL) analysis was performed for sub-genome-wide regions (1 × 10−5 > P > 5 × 10−8) overlapping lncRNAs.Results: Of 5,294 EOC-associated SNPs (P < 1.0 × 10−5), 1,464 (28%) mapped within 53 unique lncRNAs and an additional 3,484 (66%) SNPs were correlated (r2 > 0.2) with SNPs within 115 lncRNAs. EOC-associated SNPs comprised 130 independent regions, of which 72 (55%) overlapped with lncRNAs, representing a significant enrichment (P = 5.0 × 10−4) that was more pronounced among a subset of 5,401 lncRNAs with active epigenetic regulation in normal ovarian tissue. EOC-associated lncRNAs and their putative promoters and transcription factors were enriched for biologically relevant pathways and eQTL analysis identified five novel putative risk regions with allele-specific effects on lncRNA gene expression.Conclusions: lncRNAs are significantly enriched at EOC risk regions, suggesting a mechanistic role for lncRNAs in driving predisposition to EOC.Impact: lncRNAs represent key candidates for integrative epidemiologic and functional studies. Further research on their biologic role in ovarian cancer is indicated. Cancer Epidemiol Biomarkers Prev; 26(1); 116–25. ©2016 AACR.
Published: 2023
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21. Supplemental Methods from Integration of Population-Level Genotype Data with Functional Annotation Reveals Over-Representation of Long Noncoding RNAs at Ovarian Cancer Susceptibility Loci

Author: Thomas A. Sellers, Simon A. Gayther, Jin Q. Cheng, Joellen M. Schildkraut, Mary Anne Rossing, Susan J. Ramus, Catherine M. Phelan, Paul D. Pharoah, Celeste L. Pearce, Kate Lawrenson, Edwin S. Iverson, Ellen L. Goode, Jennifer A. Doherty, Georgia Chenevix-Trench, Andrew Berchuck, Jonathan Tyrer, Zhihua Chen, Alvaro N.A. Monteiro, Jamie K. Teer, Y. Ann Chen, Jennifer B. Permuth, and Brett M. Reid
Abstract: Density Measures of lncRNA Enrichment at Independent EOC-associated Regions
Published: 2023
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22. Data from Common Polymorphisms in the Prostaglandin Pathway Genes and Their Association with Breast Cancer Susceptibility and Survival

Author: Paul D.P. Pharoah, Alison M. Dunning, Douglas F. Easton, Jonathan Tyrer, Kristy E. Driver, Patricia Harrington, and Jean E. Abraham
Abstract: Purpose: There is evidence that genetic variation in the prostaglandin pathway affects cancer susceptibility and progression. Conflicting data from several studies exist for the association of PTGS2 (cyclooxygenase 2) polymorphisms with breast cancer risk. We investigated associations between common germ-line variations in seven genes in the prostaglandin pathway and breast cancer susceptibility and survival among women with invasive breast cancer in the SEARCH study.Experimental Design: DNA samples from 9,030 cases and controls were genotyped for 64 single nucleotide polymorphisms tagging known common variants (minor allele frequency > 0.05) in PTGS1, PTGS2, TBXAS1, PTGIS, PTGES, PTGDS, and PGDS with a two-stage case-control study design.Results: Four tagging single nucleotide polymorphisms showed modest association with breast cancer susceptibility. All four fit a recessive genetic model. Minor allele homozygotes for PTGISrs5602 [odds ratio (OR), 1.15; 95% confidence interval (95% CI), 1.04-1.27; P = 0.005], PTGISrs8183919 (OR, 1.22; 95% CI, 1.06-1.41; P = 0.006), and TBXASrs41727 (OR, 1.83; 95% CI, 1.22-2.73; P = 0.003) are associated with an increased risk compared with common allele carriers. For PTGISrs44627 minor allele homozygotes (OR, 0.66; 95% CI, 0.5-0.86; P = 0.002), a protective effect was observed.Conclusion: Specific PTGIS and TBXAS1 variants may affect breast cancer susceptibility, but common variants in PTGS1, PTGS2, PTGES, PTGDS, and PGDS have no major role in breast cancer susceptibility. None of the variants in the seven genes studied appear to affect survival. Further larger studies correlating clinical and genotypic data are required to establish if the clinical utility of prostaglandin-targeted therapies, as chemoprevention agents, is influenced by an individual's profile of genetic variants in key prostaglandin pathway genes.
Published: 2023
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23. Supplementary Table S1 from LIN28B Polymorphisms Influence Susceptibility to Epithelial Ovarian Cancer

Author: Thomas A. Sellers, Jin Q. Cheng, Johnathan M. Lancaster, Nicolas Wentzensen, Robert A. Vierkant, Jonathan Tyrer, Kathryn L. Terry, Rebecca Sutphen, Heather Stockwell, Honglin Song, Joellen M. Schildkraut, Harvey Risch, Susan J. Ramus, Xiaotao Qu, Catherine M. Phelan, Paul D.P. Pharoah, Steven A. Narod, Alvaro N.A. Monteiro, Usha Menon, John McLaughlin, William Kong, Heather Jim, Edwin Iversen, Ellen L. Goode, Jesus Gonzalez-Bosquet, Aleksandra Gentry-Maharaj, William Ge, Simon A. Gayther, Montserrat Garcia-Closas, Brooke L. Fridley, David Fenstermacher, Judith Ebbert-Syfrett, Getachew Dagne, Julie M. Cunningham, Daniel W. Cramer, Zhihua Chen, Stephen J. Chanock, Gregory Bloom, Michael J. Birrer, Jill Barnholtz-Sloan, Y. Ann Chen, Hui-Yi Lin, Ya-Yu Tsai, Donghwa Kim, and Jennifer Permuth-Wey
Abstract: Supplementary Table S1 from LIN28B Polymorphisms Influence Susceptibility to Epithelial Ovarian Cancer
Published: 2023
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24. Data from Tagging Single Nucleotide Polymorphisms in Cell Cycle Control Genes and Susceptibility to Invasive Epithelial Ovarian Cancer

Author: Paul D.P. Pharoah, Andrew Berchuck, Georgia Chenevix-Trench, C. Leigh Pearce, Joellen Schildkraut, Bruce A.J. Ponder, Ian Jacobs, Douglas F. Easton, Beata Peplonska, Jolanta Lissowska, Louise Brinton, Montserrat Garcia-Closas, Jeffrey R. Marks, Edwin S. Iversen, Malcolm C. Pike, Anna H. Wu, Thomas A. Sellers, Julie M. Cunningham, Fergus J. Couch, Ellen L. Goode, Kirsten B. Moysich, Robert P. Edwards, Roberta B. Ness, Francesmary Modugno, Michael E. Carney, Galina Lurie, Marc T. Goodman, David C. Whiteman, Adele C. Green, Jonathan Beesley, Penelope M. Webb, Valerie McGuire, Richard DiCioccio, Jan Blaeker, Claus Hogdall, Estrid Hogdall, Danielle Shadforth, Jonathan Tyrer, Lydia Quaye, Alice S. Whittemore, Susan Krüger Kjaer, Susan J. Ramus, Honglin Song, and Simon A. Gayther
Abstract: High-risk susceptibility genes explain CCND1, CCND2, CCND3, CCNE1, CDK2, CDK4, CDK6, CDKN1A, CDKN1B, CDKN2A, CDKN2B, CDKN2C, and CDKN2D—and risk of invasive epithelial ovarian cancer. We used a two-stage, multicenter, case-control study. In stage 1, 88 SNPs that tag common variation in these genes were genotyped in three studies from the United Kingdom, United States, and Denmark (∼1,500 cases and 2,500 controls). Genotype frequencies in cases and controls were compared using logistic regression. In stage 2, eight other studies from Australia, Poland, and the United States (∼2,000 cases and ∼3,200 controls) were genotyped for the five most significant SNPs from stage 1. No SNP was significant in the stage 2 data alone. Using the combined stages 1 and 2 data set, CDKN2A rs3731257 and CDKN1B rs2066827 were associated with disease risk (unadjusted P trend = 0.008 and 0.036, respectively), but these were not significant after adjusting for multiple testing. Carrying the minor allele of these SNPs was found to be associated with reduced risk [OR, 0.91 (0.85–0.98) for rs3731257; and OR, 0.93 (0.87–0.995) for rs2066827]. In conclusion, we have found evidence that a single tagged SNP in both the CDKN2A and CDKN1B genes may be associated with reduced ovarian cancer risk. This study highlights the need for multicenter collaborations for genetic association studies. [Cancer Res 2007;67(7):3027–35]
Published: 2023
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25. Supplementary Figure S1 from LIN28B Polymorphisms Influence Susceptibility to Epithelial Ovarian Cancer

Author: Thomas A. Sellers, Jin Q. Cheng, Johnathan M. Lancaster, Nicolas Wentzensen, Robert A. Vierkant, Jonathan Tyrer, Kathryn L. Terry, Rebecca Sutphen, Heather Stockwell, Honglin Song, Joellen M. Schildkraut, Harvey Risch, Susan J. Ramus, Xiaotao Qu, Catherine M. Phelan, Paul D.P. Pharoah, Steven A. Narod, Alvaro N.A. Monteiro, Usha Menon, John McLaughlin, William Kong, Heather Jim, Edwin Iversen, Ellen L. Goode, Jesus Gonzalez-Bosquet, Aleksandra Gentry-Maharaj, William Ge, Simon A. Gayther, Montserrat Garcia-Closas, Brooke L. Fridley, David Fenstermacher, Judith Ebbert-Syfrett, Getachew Dagne, Julie M. Cunningham, Daniel W. Cramer, Zhihua Chen, Stephen J. Chanock, Gregory Bloom, Michael J. Birrer, Jill Barnholtz-Sloan, Y. Ann Chen, Hui-Yi Lin, Ya-Yu Tsai, Donghwa Kim, and Jennifer Permuth-Wey
Abstract: Supplementary Figure S1 from LIN28B Polymorphisms Influence Susceptibility to Epithelial Ovarian Cancer
Published: 2023
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26. Supplementary Figures 1-2 from Telomere Length in Prospective and Retrospective Cancer Case-Control Studies

Author: Alison M. Dunning, Douglas F. Easton, Kay-Tee Khaw, Paul D.P. Pharoah, Bruce A.J. Ponder, Sheila A. Bingham, Robert N. Luben, Kristy E. Driver, Mitul Shah, Jonathan Tyrer, Manjinder S. Sandhu, and Karen A. Pooley
Abstract: Supplementary Figures 1-2 from Telomere Length in Prospective and Retrospective Cancer Case-Control Studies
Published: 2023
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27. Supplementary Tables 1-4 from Tagging Single Nucleotide Polymorphisms in Cell Cycle Control Genes and Susceptibility to Invasive Epithelial Ovarian Cancer

Author: Paul D.P. Pharoah, Andrew Berchuck, Georgia Chenevix-Trench, C. Leigh Pearce, Joellen Schildkraut, Bruce A.J. Ponder, Ian Jacobs, Douglas F. Easton, Beata Peplonska, Jolanta Lissowska, Louise Brinton, Montserrat Garcia-Closas, Jeffrey R. Marks, Edwin S. Iversen, Malcolm C. Pike, Anna H. Wu, Thomas A. Sellers, Julie M. Cunningham, Fergus J. Couch, Ellen L. Goode, Kirsten B. Moysich, Robert P. Edwards, Roberta B. Ness, Francesmary Modugno, Michael E. Carney, Galina Lurie, Marc T. Goodman, David C. Whiteman, Adele C. Green, Jonathan Beesley, Penelope M. Webb, Valerie McGuire, Richard DiCioccio, Jan Blaeker, Claus Hogdall, Estrid Hogdall, Danielle Shadforth, Jonathan Tyrer, Lydia Quaye, Alice S. Whittemore, Susan Krüger Kjaer, Susan J. Ramus, Honglin Song, and Simon A. Gayther
Abstract: Supplementary Tables 1-4 from Tagging Single Nucleotide Polymorphisms in Cell Cycle Control Genes and Susceptibility to Invasive Epithelial Ovarian Cancer
Published: 2023
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28. Supplementary Tables 1-2 from Telomere Length in Prospective and Retrospective Cancer Case-Control Studies

Author: Alison M. Dunning, Douglas F. Easton, Kay-Tee Khaw, Paul D.P. Pharoah, Bruce A.J. Ponder, Sheila A. Bingham, Robert N. Luben, Kristy E. Driver, Mitul Shah, Jonathan Tyrer, Manjinder S. Sandhu, and Karen A. Pooley
Abstract: Supplementary Tables 1-2 from Telomere Length in Prospective and Retrospective Cancer Case-Control Studies
Published: 2023
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29. Data from Risk of Ovarian Cancer and the NF-κB Pathway: Genetic Association with IL1A and TNFSF10

Author: Ellen L. Goode, Brooke L. Fridley, Julie M. Cunningham, Keith L. Knutson, Kirsten Moysich, Paul D.P. Pharoah, Linda E. Kelemen, Piotr Sobiczewski, Michelle A.T. Hildebrandt, Montserrat Garcia-Closas, Ignace Vergote, Joseph H. Rothstein, Grace Friel, Francesmary Modugno, Arto Leminen, Lynne R. Wilkens, Arif B. Ekici, Janusz Menkiszak, Urmila Chandran, Ira Schwaab, Aleksandra Gentry-Maharaj, Mari K. Halle, David van den Berg, Anne M. Van Altena, Liisa M. Pelttari, Matthias W. Beckmann, Hannah Yang, Sandrina Lambrechts, Lukasz M. Szafron, Shan Wang-Gohrke, Lene Lundvall, Andreas du Bois, Jenny Lester, Valerie McGuire, Robert Edwards, Lara Sucheston, Jie Lin, Cezary Cybulski, Elisabeth Wik, Susan J. Ramus, Malcolm C. Pike, Katja K. Aben, Angela Brooks-Wilson, Allison F. Vitonis, Jonathan Tyrer, Philipp Harter, Sara H. Olson, Agnieszka Dansonka-Mieszkowska, Anja Rudolph, Alexander Hein, Louise Brinton, Evelyn Despierre, Christine Walsh, Argyrios Ziogas, Galina Lurie, Yukie T. Bean, Heli Nevanlinna, Jan Lubiński, Allan Jensen, Andrew Berchuck, Kunle Odunsi, Dong Liang, Camilla Krakstad, Jennifer A. Doherty, Honglin Song, Leon F.A.G. Massuger, Robert Brown, Catherine M. Phelan, James M. Flanagan, Daniel Cramer, Susanne Kruger Kjaer, Douglas A. Levine, Celeste Leigh Pearce, Joellen Schildkraut, Usha Menon, Peter A. Fasching, Diether Lambrechts, Claus K. Hogdall, Jacek Gronwald, Hoda Anton-Culver, Beth Y. Karlan, Stanley B. Kaye, Florian Heitz, Estrid Hogdall, Simon A. Gayther, Anna H. Wu, James Paul, Diana Eccles, Ingo B. Runnebaum, Natalia Bogdanova, Clareann H. Bunker, Nhu D. Le, Ian Campbell, Tanja Pejovic, Thilo Dörk, Ralf Butzow, Karen Lu, Jolanta Kupryjanczyk, Steven A. Narod, Roberta B. Ness, Mary Anne Rossing, Linda S. Cook, Pamela J. Thompson, Marc T. Goodman, Kathryn Terry, Irene Orlow, Elisa V. Bandera, Jenny Chang-Claude, Weiva Sieh, Alice S. Whittemore, Georgia Chenevix-Trench, Nicolas Wentzensen, Britton Trabert, Gianluca Severi, Graham G. Giles, Laura Baglietto, Lambertus A. Kiemeney, Helga B. Salvesen, Harvey A. Risch, Elizabeth Poole, Shelley S. Tworoger, Thomas A. Sellers, David N. Rider, Zachary Fogarty, Kimberly R. Kalli, Robert A. Vierkant, William R. Bamlet, Matthew S. Block, and Bridget Charbonneau
Abstract: A missense single-nucleotide polymorphism (SNP) in the immune modulatory gene IL1A has been associated with ovarian cancer risk (rs17561). Although the exact mechanism through which this SNP alters risk of ovarian cancer is not clearly understood, rs17561 has also been associated with risk of endometriosis, an epidemiologic risk factor for ovarian cancer. Interleukin-1α (IL1A) is both regulated by and able to activate NF-κB, a transcription factor family that induces transcription of many proinflammatory genes and may be an important mediator in carcinogenesis. We therefore tagged SNPs in more than 200 genes in the NF-κB pathway for a total of 2,282 SNPs (including rs17561) for genotype analysis of 15,604 cases of ovarian cancer in patients of European descent, including 6,179 of high-grade serous (HGS), 2,100 endometrioid, 1,591 mucinous, 1,034 clear cell, and 1,016 low-grade serous, including 23,235 control cases spanning 40 studies in the Ovarian Cancer Association Consortium. In this large population, we confirmed the association between rs17561 and clear cell ovarian cancer [OR, 0.84; 95% confidence interval (CI), 0.76–0.93; P = 0.00075], which remained intact even after excluding participants in the prior study (OR, 0.85; 95% CI, 0.75–0.95; P = 0.006). Considering a multiple-testing–corrected significance threshold of P < 2.5 × 10−5, only one other variant, the TNFSF10 SNP rs6785617, was associated significantly with a risk of ovarian cancer (low malignant potential tumors OR, 0.85; 95% CI, 0.79–0.91; P = 0.00002). Our results extend the evidence that borderline tumors may have a distinct genetic etiology. Further investigation of how these SNPs might modify ovarian cancer associations with other inflammation-related risk factors is warranted. Cancer Res; 74(3); 852–61. ©2013 AACR.
Published: 2023
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30. Supplementary Tables 1-4 from Ovarian Cancer Risk Associated with Inherited Inflammation-Related Variants

Author: Ellen L. Goode, Thomas A. Sellers, Brooke L. Fridley, Julie M. Cunningham, Catherine M. Phelan, Montserrat Garcia-Closas, Hannah P. Yang, Nicolas Wentzensen, Susan J. Ramus, Simon A. Gayther, Jonathan Tyrer, Honglin Song, Paul P.D. Pharoah, Michael J. Birrer, Rebecca Sutphen, Mine S. Cicek, Bridget Charbonneau, David N. Rider, Robert A. Vierkant, Andrew Berchuck, Edwin S. Iversen, Rachel T. Palmieri, Joellen M. Schildkraut, and Kristin L. White
Abstract: PDF file - 114K
Published: 2023
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31. Supplementary Tables 1 - 5 from Risk of Ovarian Cancer and the NF-κB Pathway: Genetic Association with IL1A and TNFSF10

Author: Ellen L. Goode, Brooke L. Fridley, Julie M. Cunningham, Keith L. Knutson, Kirsten Moysich, Paul D.P. Pharoah, Linda E. Kelemen, Piotr Sobiczewski, Michelle A.T. Hildebrandt, Montserrat Garcia-Closas, Ignace Vergote, Joseph H. Rothstein, Grace Friel, Francesmary Modugno, Arto Leminen, Lynne R. Wilkens, Arif B. Ekici, Janusz Menkiszak, Urmila Chandran, Ira Schwaab, Aleksandra Gentry-Maharaj, Mari K. Halle, David van den Berg, Anne M. Van Altena, Liisa M. Pelttari, Matthias W. Beckmann, Hannah Yang, Sandrina Lambrechts, Lukasz M. Szafron, Shan Wang-Gohrke, Lene Lundvall, Andreas du Bois, Jenny Lester, Valerie McGuire, Robert Edwards, Lara Sucheston, Jie Lin, Cezary Cybulski, Elisabeth Wik, Susan J. Ramus, Malcolm C. Pike, Katja K. Aben, Angela Brooks-Wilson, Allison F. Vitonis, Jonathan Tyrer, Philipp Harter, Sara H. Olson, Agnieszka Dansonka-Mieszkowska, Anja Rudolph, Alexander Hein, Louise Brinton, Evelyn Despierre, Christine Walsh, Argyrios Ziogas, Galina Lurie, Yukie T. Bean, Heli Nevanlinna, Jan Lubiński, Allan Jensen, Andrew Berchuck, Kunle Odunsi, Dong Liang, Camilla Krakstad, Jennifer A. Doherty, Honglin Song, Leon F.A.G. Massuger, Robert Brown, Catherine M. Phelan, James M. Flanagan, Daniel Cramer, Susanne Kruger Kjaer, Douglas A. Levine, Celeste Leigh Pearce, Joellen Schildkraut, Usha Menon, Peter A. Fasching, Diether Lambrechts, Claus K. Hogdall, Jacek Gronwald, Hoda Anton-Culver, Beth Y. Karlan, Stanley B. Kaye, Florian Heitz, Estrid Hogdall, Simon A. Gayther, Anna H. Wu, James Paul, Diana Eccles, Ingo B. Runnebaum, Natalia Bogdanova, Clareann H. Bunker, Nhu D. Le, Ian Campbell, Tanja Pejovic, Thilo Dörk, Ralf Butzow, Karen Lu, Jolanta Kupryjanczyk, Steven A. Narod, Roberta B. Ness, Mary Anne Rossing, Linda S. Cook, Pamela J. Thompson, Marc T. Goodman, Kathryn Terry, Irene Orlow, Elisa V. Bandera, Jenny Chang-Claude, Weiva Sieh, Alice S. Whittemore, Georgia Chenevix-Trench, Nicolas Wentzensen, Britton Trabert, Gianluca Severi, Graham G. Giles, Laura Baglietto, Lambertus A. Kiemeney, Helga B. Salvesen, Harvey A. Risch, Elizabeth Poole, Shelley S. Tworoger, Thomas A. Sellers, David N. Rider, Zachary Fogarty, Kimberly R. Kalli, Robert A. Vierkant, William R. Bamlet, Matthew S. Block, and Bridget Charbonneau
Abstract: PDF file - 145K, Supplementary Table 1. Studies in the Ovarian Cancer Association Consortium (OCAC) are listed, as well as the abbreviation, location, type, and number of cases and controls for each study. Supplementary Table 2. The number of cases included in the analysis from each OCAC study site is listed by histologic subtype. Supplementary Table 3. Gene symbols and IDs are listed for NF-κB pathway genes that were tagged in this study, as well as chromosome position, number of SNPs tagged, and bin coverage of each gene using Hapmap or 1000 genomes as a reference. Supplementary Table 4. Reasons and numbers of samples excluded from the analysis following the sample quality control are described. Supplementary Table 5. We evaluated rs17561 and rs6785617 for interactions with known epidemiologic risk factors for risk of clear cell and LMP tumors, respectively, and report interaction p-values in the table below.
Published: 2023
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32. Functional analysis of the 1p34.3 risk locus implicates GNL2 in high-grade serous ovarian cancer

Author: Koji Nakamura, Brett M. Reid, Ann Chen, Zhihua Chen, Ellen L. Goode, Jennifer B. Permuth, Jamie K. Teer, Jonathan Tyrer, Xiaoqing Yu, Peter A. Kanetsky, Paul D. Pharoah, Simon A. Gayther, Thomas A. Sellers, Kate Lawrenson, and Florian A. Karreth
Subjects: DNA Copy Number Variations, Quantitative Trait Loci, Polymorphism, Single Nucleotide, Article, White People, Mice, GTP-Binding Proteins, Cell Line, Tumor, Odds Ratio, Genetics, Animals, Humans, Genetic Predisposition to Disease, Gene Silencing, Alleles, Genetic Association Studies, Genetics (clinical), Ovarian Neoplasms, Gene Expression Profiling, Prognosis, Cystadenocarcinoma, Serous, Gene Expression Regulation, Neoplastic, Alternative Splicing, Disease Models, Animal, Cell Transformation, Neoplastic, Enhancer Elements, Genetic, Chromosomes, Human, Pair 1, Chromatin Immunoprecipitation Sequencing, Heterografts, Female, Neoplasm Grading, Transcriptome, Genome-Wide Association Study
Abstract: The high-grade serous ovarian cancer (HGSOC) risk locus at chromosome 1p34.3 resides within a frequently amplified genomic region signifying the presence of an oncogene. Here, we integrate in silico variant-to-function analysis with functional studies to characterize the oncogenic potential of candidate genes in the 1p34.3 locus. Fine mapping of genome-wide association statistics identified candidate causal SNPs local to H3K27ac-demarcated enhancer regions that exhibit allele-specific binding for CTCF in HGSOC and normal fallopian tube secretory epithelium cells (FTSECs). SNP risk associations colocalized with eQTL for six genes (DNALI1, GNL2, RSPO1, SNIP1, MEAF6, and LINC01137) that are more highly expressed in carriers of the risk allele, and three (DNALI1, GNL2, and RSPO1) were upregulated in HGSOC compared to normal ovarian surface epithelium cells and/or FTSECs. Increased expression of GNL2 and MEAF6 was associated with shorter survival in HGSOC with 1p34.3 amplifications. Despite its activation of β-catenin signaling, RSPO1 overexpression exerted no effects on proliferation or colony formation in our study of ovarian cancer and FTSECs. Instead, GNL2, MEAF6, and SNIP1 silencing impaired in vitro ovarian cancer cell growth. Additionally, GNL2 silencing diminished xenograft tumor formation, whereas overexpression stimulated proliferation and colony formation in FTSECs. GNL2 influences 60S ribosomal subunit maturation and global protein synthesis in ovarian cancer and FTSECs, providing a potential mechanism of how GNL2 upregulation might promote ovarian cancer development and mediate genetic susceptibility of HGSOC.
Published: 2022
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33. No association between polygenic risk scores for cancer and development of radiotherapy toxicity

Author: Gillian C. Barnett, Sarah L. Kerns, Leila Dorling, Laura Fachal, Miguel E. Aguado-Barrera, Laura Martínez-Calvo, Harkeran K. Jandu, Ceilidh Welsh, Jonathan Tyrer, Charlotte E. Coles, Joanne S. Haviland, Christopher Parker, Antonio Gómez-Caamaño, Patricia Calvo-Crespo, Paloma Sosa-Fajardo, Neil G. Burnet, Holly Summersgill, Adam Webb, Dirk De Ruysscher, Petra Seibold, Jenny Chang-Claude, Christopher J. Talbot, Tim Rattay, Matthew Parliament, Kim De Ruyck, Barry S. Rosenstein, Paul D.P. Pharoah, Alison M. Dunning, Ana Vega, Catharine M.L. West, Radiotherapie, and RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy
Subjects: Male, Cancer Research, Biological Products, Radiation, Prostatic Neoplasms, Breast Neoplasms, Polymorphism, Single Nucleotide, Oncology, Risk Factors, Humans, Radiology, Nuclear Medicine and imaging, Genetic Predisposition to Disease, Radiation Injuries, Genome-Wide Association Study
Abstract: Purpose: Our aim was to test whether updated polygenic risk scores (PRS) for susceptibility to cancer affect risk of radiation therapy toxicity. Methods and Materials: Analyses included 9,717 patients with breast (n=3,078), prostate (n=5,748) or lung (n=891) cancer from Radiogenomics and REQUITE Consortia cohorts. Patients underwent potentially curative radiation therapy and were assessed prospectively for toxicity. Germline genotyping involved genome-wide single nucleotide polymorphism (SNP) arrays with nontyped SNPs imputed. PRS for each cancer were generated by summing literature-identified cancer susceptibility risk alleles: 352 breast, 136 prostate, and 24 lung. Weighted PRS were generated using log odds ratio (ORs) for cancer susceptibility. Standardized total average toxicity (STAT) scores at 2 and 5 years (breast, prostate) or 6 to 12 months (lung) quantified toxicity. Primary analysis tested late STAT, secondary analyses investigated acute STAT, and individual endpoints and SNPs using multivariable regression. Results: Increasing PRS did not increase risk of late toxicity in patients with breast (OR, 1.000; 95% confidence interval [CI], 0.997-1.002), prostate (OR, 0.99; 95% CI, 0.98-1.00; weighted PRS OR, 0.93; 95% CI, 0.83-1.03), or lung (OR, 0.93; 95% CI, 0.87-1.00; weighted PRS OR, 0.68; 95% CI, 0.45-1.03) cancer. Similar results were seen for acute toxicity. Secondary analyses identified rs138944387 associated with breast pain (OR, 3.05; 95% CI, 1.86-5.01; P = 1.09 × 10 –5) and rs17513613 with breast edema (OR, 0.94; 95% CI, 0.92-0.97; P = 1.08 × 10 –5). Conclusions: Patients with increased polygenic predisposition to breast, prostate, or lung cancer can safely undergo radiation therapy with no anticipated excess toxicity risk. Some individual SNPs increase the likelihood of a specific toxicity endpoint, warranting validation in independent cohorts and functional studies to elucidate biologic mechanisms.
Published: 2022

34. Identification of a Locus Near ULK1 Associated With Progression-Free Survival in Ovarian Cancer

Author: Stacey L. Edwards, Francesmary Modugno, Michael E. Carney, Jonathan Tyrer, Klaus Bauman, Jue-Sheng Ong, Tanja Pejovic, Rosalind Glasspool, Matthias Dürst, Bryan M. McCauley, Javier Benitez, Andreas du Bois, Ann-Marie Patch, Karen McCue, Florian Heitz, Diether Lambrechts, Paul D.P. Pharoah, Beth Y. Karlan, David G. Huntsman, Matthias W. Beckmann, Wei Shi, Penelope M. Webb, Michelle M.M. Woo, Kathryn L. Terry, Georgia Chenevix-Trench, Puya Gharahkhani, Melissa C. Larson, Kirsten B. Moysich, Estrid Høgdall, Sian Fereday, Julie M. Cunningham, Joellen M. Schildkraut, Andrew Civitarese, Jenny Lester, Peter A. Fasching, Ellen L. Goode, Stuart MacGregor, Jonathan Beesley, Allan Jensen, Michael Friedlander, Claus Høgdall, Stacey J. Winham, Yi Lu, Marc T. Goodman, Thilo Dörk, Dylan M. Glubb, Sharon E. Johnatty, Digna R. Velez Edwards, Tracy A. O'Mara, Melissa Moffitt, Taymaa May, Marjorie J. Riggan, Andrew Berchuck, Jacobus Pfisterer, Bo Gao, María Josefa Mosteiro García, Samantha Hinsley, Alicia Beeghly-Fadiel, Ignace Vergote, Michael C.J. Quinn, Sebastian M. Armasu, Anna deFazio, Line Bjørge, Daniel W. Cramer, Gabrielle Ene, Catherine J. Kennedy, and Susanne K. Kjaer
Subjects: EXPRESSION, Oncology, medicine.medical_specialty, SUSCEPTIBILITY LOCI, endocrine system diseases, Epidemiology, Single-nucleotide polymorphism, Locus (genetics), Genome-wide association study, LIKELIHOOD, chemistry.chemical_compound, Internal medicine, KINASE, Medicine, Progression-free survival, POLYMORPHISMS, METAANALYSIS, Public, Environmental & Occupational Health, OUTCOMES, Science & Technology, business.industry, CONSORTIUM, Cancer, medicine.disease, Carboplatin, 3. Good health, SEROUS OVARIAN, chemistry, Genetic marker, AUTOPHAGY, business, Ovarian cancer, Life Sciences & Biomedicine
Abstract: Background: Many loci have been found to be associated with risk of epithelial ovarian cancer (EOC). However, although there is considerable variation in progression-free survival (PFS), no loci have been found to be associated with outcome at genome-wide levels of significance. Methods: We carried out a genome-wide association study (GWAS) of PFS in 2,352 women with EOC who had undergone cytoreductive surgery and standard carboplatin/paclitaxel chemotherapy. Results: We found seven SNPs at 12q24.33 associated with PFS (P < 5 × 10–8), the top SNP being rs10794418 (HR = 1.24; 95% CI, 1.15–1.34; P = 1.47 × 10–8). High expression of a nearby gene, ULK1, is associated with shorter PFS in EOC, and with poor prognosis in other cancers. SNP rs10794418 is also associated with expression of ULK1 in ovarian tumors, with the allele associated with shorter PFS being associated with higher expression, and chromatin interactions were detected between the ULK1 promoter and associated SNPs in serous and endometrioid EOC cell lines. ULK1 knockout ovarian cancer cell lines showed significantly increased sensitivity to carboplatin in vitro. Conclusions: The locus at 12q24.33 represents one of the first genome-wide significant loci for survival for any cancer. ULK1 is a plausible candidate for the target of this association. Impact: This finding provides insight into genetic markers associated with EOC outcome and potential treatment options. See related commentary by Peres and Monteiro, p. 1604
Published: 2021
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35. Detecting rare copy number variants from Illumina genotyping arrays with the CamCNV pipeline: Segmentation of z ‐scores improves detection and reliability

Author: Jonathan Tyrer, Logan C. Walker, Joe Dennis, Kyriaki Michailidou, and Douglas F. Easton
Subjects: False discovery rate, 0303 health sciences, DNA Copy Number Variations, Genotype, Epidemiology, Pipeline (computing), 030305 genetics & heredity, High-Throughput Nucleotide Sequencing, Reproducibility of Results, Computational biology, Replicate, Standard score, Biology, Article, 03 medical and health sciences, Humans, Segmentation, Copy-number variation, 1000 Genomes Project, Genotyping, Genetics (clinical), 030304 developmental biology
Abstract: The intensities from genotyping array data can be used to detect copy number variants (CNVs) but a high level of noise in the data and overlap between different copy-number intensity distributions produces unreliable calls, particularly when only a few probes are covered by the CNV. We present a novel pipeline (CamCNV) with a series of steps to reduce noise and detect more reliably CNVs covering as few as three probes. The pipeline aims to detect rare CNVs (below 1% frequency) for association tests in large cohorts. The method uses the information from all samples to convert intensities to z-scores, thus adjusting for variance between probes. We tested the sensitivity of our pipeline by looking for known CNVs from the 1000 Genomes Project in our genotyping of 1000 Genomes samples. We also compared the CNV calls for 1661 pairs of genotyped replicate samples. At the chosen mean z-score cut-off, sensitivity to detect the 1000 Genomes CNVs was approximately 85% for deletions and 65% for duplications. From the replicates, we estimate the false discovery rate is controlled at ∼10% for deletions (falling to below 3% with more than five probes) and ∼28% for duplications. The pipeline demonstrates improved sensitivity when compared to calling with PennCNV, particularly for short deletions covering only a few probes. For each called CNV, the mean z-score is a useful metric for controlling the false discovery rate.
Published: 2020
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36. Identification of novel epithelial ovarian cancer loci in women of African ancestry

Author: Anthony J. Alberg, Alice S. Whittemore, Deanna Chyn, Ann G. Schwartz, Jennifer A. Doherty, Ellen Funkhouser, Joellen M. Schildkraut, M. C. Pike, Joe Dennis, Veronica Wendy Setiawan, Celeste Leigh Pearce, Xin Sheng, Melissa L. Bondy, Jonathan Tyrer, Beth Y. Karlan, Valerie McGuire, Paul D. Terry, Lauren C. Peres, Kate Lawrenson, Andrew Berchuck, Michele L. Cote, Julie R. Palmer, Kirsten B. Moysich, Lynne R. Wilkens, Elisa V. Bandera, Mollie E. Barnard, Christopher A. Haiman, Ani Manichaikul, SA Gayther, Xin-Qun Wang, Roberta B. Ness, Edward S. Peters, Patricia G. Moorman, Loic LeMarchand, Thomas A. Sellers, Francesmary Modugno, P. D. P Pharoah, Anna H. Wu, Weiva Sieh, Jill S. Barnholtz-Sloan, and Zhaohui Du
Subjects: Follistatin, Cancer Research, endocrine system diseases, Black People, Estrogen receptor, Breast Neoplasms, Ovary, Genome-wide association study, Carcinoma, Ovarian Epithelial, Polymorphism, Single Nucleotide, White People, Article, 03 medical and health sciences, 0302 clinical medicine, Antigens, Neoplasm, medicine, Humans, SNP, Genetic Predisposition to Disease, GABRG3, Genetics, biology, Aldo-Keto Reductase Family 1 Member C3, Cancer, medicine.disease, United States, Neoplasm Proteins, 3. Good health, Black or African American, Serous fluid, medicine.anatomical_structure, Oncology, 030220 oncology & carcinogenesis, biology.protein, Female, Ovarian cancer, Genome-Wide Association Study
Abstract: Women of African ancestry have lower incidence of epithelial ovarian cancer (EOC) yet worse survival compared to women of European ancestry. We conducted a genome-wide association study in African ancestry women with 755 EOC cases, including 537 high-grade serous ovarian carcinomas (HGSOC) and 1,235 controls. We identified four novel loci with suggestive evidence of association with EOC (p < 1 × 10(−6)), including rs4525119 (intronic to AKR1C3), rs7643459 (intronic to LOC101927394), rs4286604 (12 kb 3′ of UGT2A2) and rs142091544 (5 kb 5′ of WWC1). For HGSOC, we identified six loci with suggestive evidence of association including rs37792 (132 kb 5′ of follistatin [FST]), rs57403204 (81 kb 3′ of MAGEC1), rs79079890 (LOC105376360 intronic), rs66459581 (5 kb 5′ of PRPSAP1), rs116046250 (GABRG3 intronic) and rs192876988 (32 kb 3′ of GK2). Among the identified variants, two are near genes known to regulate hormones and diseases of the ovary (AKR1C3 and FST), and two are linked to cancer (AKR1C3 and MAGEC1). In follow-up studies of the 10 identified variants, the GK2 region SNP, rs192876988, showed an inverse association with EOC in European ancestry women (p = 0.002), increased risk of ER positive breast cancer in African ancestry women (p = 0.027) and decreased expression of GK2 in HGSOC tissue from African ancestry women (p = 0.004). A European ancestry-derived polygenic risk score showed positive associations with EOC and HGSOC in women of African ancestry suggesting shared genetic architecture. Our investigation presents evidence of variants for EOC shared among European and African ancestry women and identifies novel EOC risk loci in women of African ancestry.
Published: 2020
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37. Polygenic Risk Modelling for Prediction of Epithelial Ovarian Cancer Risk

Author: V. Wendy Setiawan, Ana Osorio, Liv Cecilie Vestrheim Thomsen, Francesca Gensini, Harsha Pathak, Barbara Wappenschmidt, Ingo B. Runnebaum, Javier Benitez, Rita K. Schmutzler, Jeffrey N. Weitzel, Yin Ling Woo, Kenneth Offit, Anthony N. Karnezis, Eitan Friedman, Jacques Simard, James M. Flanagan, Pedro Pérez-Segura, Siranoush Manoukian, Melissa C. Southey, Ramunas Janavicius, Finn Cilius Nielsen, Graham G. Giles, Usha Menon, Ava Kwong, Anna H. Wu, Thomas Hansen, Cristina Rodríguez-Antona, Maria A. Caligo, Argyrios Ziogas, Allison DePersia, Anna P. Sokolenko, Clarice R. Weinberg, Hoda Anton-Culver, Digna R. Velez Edwards, Jennifer B. Permuth, Patricia A. Ganz, Ana Vega, Keitaro Matsuo, Heli Nevanlinna, Frances Wang, Natalia Antonenkova, Claudine Isaacs, Conxi Lázaro, Melissa C. Larson, Henriette Roed Nielsen, Byoung-Gie Kim, Andreas du Bois, Dale P. Sandler, Anna Jakubowska, Paul D.P. Pharoah, Jenny Lester, Paolo Radice, Natalia Bogdanova, Lambertus A. Kiemeney, Mary Anne Rossing, Thilo Dörk, Ruea-Yea Huang, Judy Garber, Taymaa May, Diana Eccles, Mary Beth Terry, Jenny Chang-Claude, Jeffrey R. Marks, Dominique Stoppa-Lyonnet, Heather Eliassen, Douglas A. Levine, Phuong L. Mai, Gerasimos Aravantinos, Hui Cai, Britton Trabert, Amanda Black, Noura Mebirouk, Robin de Putter, Rayna K. Matsuno, Ralf Bützow, Joanne Ngeow Yuen Yie, James D. Brenton, Nadine Tung, Drakoulis Yannoukakos, Jonathan Tyrer, L Yan, Yen Y. Tan, Ian Komenaka, Simona Agata, Honglin Song, Tanja Pejovic, Marjorie J. Riggan, Antonis C. Antoniou, Katja K.H. Aben, Goska Leslie, Eric A. Ross, Estrid Høgdall, Kang Shan, Holly R. Harris, Eleanor Davies, Liene Nikitina-Zake, Florian Heitz, Stephen J. Chanock, Matthew Jones, Beth Y. Karlan, Matthias W. Beckmann, Penelope M. Webb, John L. Hopper, Peter A. Fasching, Jacek Gronwald, kConFab Investigators, Ana Peixoto, Joellen M. Schildkraut, Renée T. Fortner, Susan L. Neuhausen, Daehee Kang, Anthony J. Swerdlow, Lesley McGuffog, Marco Montagna, Paolo Peterlongo, Daniel R. Barnes, Marina Bermisheva, Alicja Wolk, Yuan Chun Ding, Marc Tischkowitz, Gord Glendon, Elza Khusnutdinova, Julie M. Cunningham, Saundra S. Buys, Albina N. Minlikeeva, Jennifer A. Doherty, Annemieke H. van der Hout, Austin Miller, Fergus J. Couch, Fabienne Lesueur, Peter Devilee, Kristin K. Zorn, Daniel Barrowdale, Christian F. Singer, Line Bjørge, Åke Borg, Diether Lambrechts, Shelley S. Tworoger, Allan Jensen, Ute Hamann, Douglas F. Easton, Bernardo Bonanni, Alvaro N.A. Monteiro, Johanna Rantala, Marc T. Goodman, Ellen Valen, Wei Zheng, Thomas A. Sellers, Marcus Q. Bernardini, Alice S. Whittemore, Kunle Odunsi, Inge Søkilde Pedersen, Laura Papi, Mads Thomassen, Allison W. Kurian, Emily White, Penny Soucy, D. Gareth Evans, Lenka Foretova, Kathryn L. Terry, Ruth C. Travis, Claus Høgdall, Hebon Investigators, Darya Prokofyeva, Stacey J. Winham, Yoke-Eng Chiew, Eileen Dareng, Jan Lubinski, Elizabeth Munro, Oskar T. Johannsson, Linda E. Kelemen, Kexin Chen, Xin Yang, Manuel R. Teixeira, Anna M. Piskorz, Edith Olah, Helen Steed, Beth N. Peshkin, Georgia Chenevix-Trench, Andrew K. Godwin, Pamela J. Thompson, Chad D. Huff, Rosa B. Barkardottir, Muriel A. Adank, Mikael Hartman, Linda J. Titus, Weiva Sieh, Simon A. Gayther, Peter J. Hulick, Michael T. Parsons, Elisa V. Bandera, Amanda E. Toland, Miguel de la Hoya, Orland Diez, Alicia Beeghly-Fadiel, Rebecca Sutphen, Francesmary Modugno, Judith Balmaña, Christoph Engel, Harvey A. Risch, Elizabeth J. van Rensburg, Michael Jones, Rikki Cannioto, Michelle A.T. Hildebrandt, Soo Hwang Teo, Fanny Dao, Susan J. Ramus, Sarah Colanna, Kathleen Claes, David G. Huntsman, Siel Olbrecht, Esther M. John, Robert A. Vierkant, Wendy K. Chung, Ellen L. Goode, Olufunmilayo I. Olopade, Evgeny N. Imyanitov, Joe Dennis, Andrew Berchuck, Banu Arun, Darcy L. Thull, Lian Li, Celeste Leigh Pearce, Sue K. Park, Susan M. Domchek, Agnieszka Budzilowska, Håkan Olsson, Susanne K. Kjaer, Mark H. Greene, Katia M. Zavaglia, Jolanta Kupryjanczyk, Nicolas Wentzensen, Karen H. Lu, Hayley Cassingham, Christopher A. Haiman, Eric Hahnen, Els Van Nieuwenhuysen, Katherine L. Nathanson, Anna deFazio, Ian G. Campbell, Paul A. James, Sara H. Olson, Eva Machackova, Anne M. van Altena, Irene L. Andrulis, Linda S. Cook, Matthias Dürst, Mary B. Daly, John R. McLaughlin, Niclas Håkansson, Jingmei Li, Diana Torres, Iain A. McNeish, Jennifer T. Loud, Roger L. Milne, Marta Santamariña, Annelie Augustinsson, Nhu D. Le, Kate Lawrenson, Kirsten B. Moysich, Dareng, Eileen O [0000-0003-0802-419X], Tyrer, Jonathan [0000-0003-3724-4757], Barnes, Daniel [0000-0002-3781-7570], Jones, Michelle R [0000-0001-5466-3844], Agata, Simona [0000-0002-6329-0768], Anton-Culver, Hoda [0000-0002-9603-0110], Augustinsson, Annelie [0000-0003-3415-0536], Bandera, Elisa V [0000-0002-8789-2755], Barkardottir, Rosa B [0000-0003-0629-2772], Brenton, James [0000-0002-5738-6683], Campbell, Ian [0000-0002-7773-4155], Chen, Kexin [0000-0003-1010-8093], Chung, Wendy K [0000-0003-3438-5685], Claes, Kathleen BM [0000-0003-0841-7372], Devilee, Peter [0000-0002-8023-2009], Diez, Orland [0000-0001-7339-0570], Bois, Andreas du [0000-0002-8477-506X], Eccles, Diana M [0000-0002-9935-3169], Eliassen, Heather A [0000-0002-3961-6609], Ganz, Patricia A [0000-0002-1841-4143], Giles, Graham G [0000-0003-4946-9099], Glendon, Gord [0000-0001-8630-6673], Greene, Mark H [0000-0003-1852-9239], Hartman, Mikael [0000-0001-5726-9965], Heitz, Florian [0000-0002-2412-0352], Isaacs, Claudine [0000-0002-9646-1260], Janavicius, Ramunas [0000-0002-3773-8485], John, Esther M [0000-0003-3259-8003], Kang, Daehee [0000-0003-4031-5878], Karlan, Beth Y [0000-0002-9451-2933], Khusnutdinova, Elza [0000-0003-2987-3334], Kjaer, Susanne K [0000-0002-8347-1398], Manoukian, Siranoush [0000-0002-6034-7562], Matsuo, Keitaro [0000-0003-1761-6314], Menon, Usha [0000-0003-3708-1732], Miller, Austin [0000-0001-9739-8462], Nikitina-Zake, Liene [0000-0003-2491-5187], Olbrecht, Siel [0000-0001-9452-5905], Olopade, Olufunmilayo I [0000-0002-9936-1599], Olson, Sara H [0000-0003-0182-2754], Papi, Laura [0000-0003-4552-9517], Park, Sue K [0000-0001-5002-9707], Parsons, Michael T [0000-0003-3242-8477], Permuth, Jennifer B [0000-0002-4726-9264], Peterlongo, Paolo [0000-0001-6951-6855], Radice, Paolo [0000-0001-6298-4111], Swerdlow, Anthony J [0000-0001-5550-4159], Toland, Amanda E [0000-0002-0271-1792], Webb, Penelope M [0000-0003-0733-5930], Weinberg, Clarice R [0000-0002-7713-8556], Weitzel, Jeffrey N [0000-0001-6714-092X], Winham, Stacey J [0000-0002-8492-9102], Wolk, Alicja [0000-0001-7387-6845], Yannoukakos, Drakoulis [0000-0001-7509-3510], Easton, Douglas [0000-0003-2444-3247], Ramus, Susan J [0000-0003-0005-7798], Chenevix-Trench, Georgia [0000-0002-1878-2587], and Apollo - University of Cambridge Repository
Subjects: Oncology, medicine.medical_specialty, 45/61, 45/43, Single-nucleotide polymorphism, Logistic regression, 631/208/2489, 03 medical and health sciences, 0302 clinical medicine, Lasso (statistics), Internal medicine, Genotype, medicine, SNP, 030304 developmental biology, 0303 health sciences, business.industry, Hazard ratio, article, Odds ratio, 631/208/721, medicine.disease, 3. Good health, 030220 oncology & carcinogenesis, business, Ovarian cancer, 692/499
Abstract: Funder: Funding details are provided in the Supplementary Material, Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally-efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, ��select and shrink for summary statistics�� (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestry; 7,669 women of East Asian ancestry; 1,072 women of African ancestry, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestry. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38(95%CI:1.28��1.48,AUC:0.588) per unit standard deviation, in women of European ancestry; 1.14(95%CI:1.08��1.19,AUC:0.538) in women of East Asian ancestry; 1.38(95%CI:1.21-1.58,AUC:0.593) in women of African ancestry; hazard ratios of 1.37(95%CI:1.30��1.44,AUC:0.592) in BRCA1 pathogenic variant carriers and 1.51(95%CI:1.36-1.67,AUC:0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.
Published: 2022
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38. Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors

Author: Stephanie Archer, Simon A. Gayther, Jatinder Kalsi, Usha Menon, Faiza Gaba, Andy C. H. Lee, Tim Carver, Fiona M Walter, Paul D.P. Pharoah, Antonis C. Antoniou, Marc Tischkowitz, Ian Jacobs, Ranjit Manchanda, Douglas F. Easton, Xin Yang, Jonathan Tyrer, Aleksandra Gentry-Maharaj, Goska Leslie, Andy Ryan, Susan J. Ramus, Alex P Cunningham, Nasim Mavaddat, Lee, Andrew [0000-0003-0677-0252], Yang, Xin [0000-0003-0037-3790], Tyrer, Jonathan [0000-0003-3724-4757], Mavaddat, Nasim [0000-0003-0307-055X], Cunningham, Alex [0000-0002-3737-9611], Archer, Stephanie [0000-0003-1349-7178], Manchanda, Ranjit [0000-0003-3381-5057], Ramus, Susan J [0000-0003-0005-7798], Tischkowitz, Marc [0000-0002-7880-0628], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], Antoniou, Antonis [0000-0001-9223-3116], Apollo - University of Cambridge Repository, and Antoniou, Antonis C [0000-0001-9223-3116]
Subjects: Oncology, medicine.medical_specialty, Percentile, Multifactorial Inheritance, Tubo-ovarian, endocrine system diseases, Genetic counseling, Population, Breast Neoplasms, Carcinoma, Ovarian Epithelial, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, Epidemiology, Medicine, Humans, Genetic Predisposition to Disease, genetics, Family history, education, Adverse effect, Cancer genetics, Genetics (clinical), 030304 developmental biology, Ovarian Neoplasms, clinical decision-making, 0303 health sciences, education.field_of_study, genetic counseling, business.industry, public health, Cancer, medicine.disease, 3. Good health, 030220 oncology & carcinogenesis, Female, business, early diagnosis
Abstract: Funder: Department of Health; FundRef: http://dx.doi.org/10.13039/501100000276, Funder: Ontario Research Fund, Funder: CHU de Quebec Foundation, Funder: Fondation du cancer du sein du Qu��bec; FundRef: http://dx.doi.org/10.13039/100016328, Funder: The Eve Appeal, Background: Epithelial tubo-ovarian cancer (EOC) has high mortality partly due to late diagnosis. Prevention is available but may be associated with adverse effects. A multifactorial risk model based on known genetic and epidemiological risk factors (RFs) for EOC can help identify women at higher risk who could benefit from targeted screening and prevention. Methods: We developed a multifactorial EOC risk model for women of European ancestry incorporating the effects of pathogenic variants (PVs) in BRCA1, BRCA2, RAD51C, RAD51D and BRIP1, a Polygenic Risk Score (PRS) of arbitrary size, the effects of RFs and explicit family history (FH) using a synthetic model approach. The PRS, PV and RFs were assumed to act multiplicatively. Results: Based on a currently available PRS for EOC that explains 5% of the EOC polygenic variance, the estimated lifetime risks under the multifactorial model in the general population vary from 0.5% to 4.6% for the first to 99th percentiles of the EOC risk distribution. The corresponding range for women with an affected first-degree relative is 1.9%��10.3%. Based on the combined risk distribution, 33% of RAD51D PV carriers are expected to have a lifetime EOC risk of less than 10%. RFs provided the widest distribution, followed by the PRS. In an independent partial model validation, absolute and relative 5-year risks were well calibrated in quintiles of predicted risk. Conclusion: This multifactorial risk model can facilitate stratification, in particular among women with FH of cancer and/or moderate-risk and high-risk PVs. The model is available via the CanRisk Tool (www.canrisk.org).
Published: 2021
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39. Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study

Author: Douglas F. Easton, Joe Dennis, Lathan Liou, Mitul Shah, Michael Inouye, Jonathan Tyrer, Stephen Kaptoge, Paul D.P. Pharoah, Liou, Lathan [0000-0002-8066-5947], and Apollo - University of Cambridge Repository
Subjects: medicine.medical_specialty, Multifactorial Inheritance, Genotype, Breast Neoplasms, Disease, Coronary Artery Disease, Coronary artery disease, Breast cancer, Polygenic risk score, Cancer Survivors, Risk Factors, Internal medicine, SEARCH, Epidemiology, medicine, Humans, Prospective Studies, Prospective cohort study, RC254-282, Proportional Hazards Models, business.industry, Proportional hazards model, Incidence, Hazard ratio, Cancer, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Genomics, Middle Aged, medicine.disease, Cardiovascular disease, United Kingdom, Coronary heart disease, Female, business, Research Article, Genome-Wide Association Study
Abstract: Funder: Wellcome Trust, BackgroundAdvancements in cancer therapeutics have resulted in increases in cancer-related survival; however, there is a growing clinical dilemma. The current balancing of survival benefits and future cardiotoxic harms of oncotherapies has resulted in an increased burden of cardiovascular disease in breast cancer survivors. Risk stratification may help address this clinical dilemma. This study is the first to assess the association between a coronary artery disease-specific polygenic risk score and incident coronary artery events in female breast cancer survivors.MethodsWe utilized the Studies in Epidemiology and Research in Cancer Heredity prospective cohort involving 12,413 women with breast cancer with genotype information and without a baseline history of cardiovascular disease. Cause-specific hazard ratios for association of the polygenic risk score and incident coronary artery disease (CAD) were obtained using left-truncated Cox regression adjusting for age, genotype array, conventional risk factors such as smoking and body mass index, as well as other sociodemographic, lifestyle, and medical variables.ResultsOver a median follow-up of 10.3 years (IQR: 16.8) years, 750 incident fatal or non-fatal coronary artery events were recorded. A 1 standard deviation higher polygenic risk score was associated with an adjusted hazard ratio of 1.33 (95% CI 1.20, 1.47) for incident CAD.ConclusionsThis study provides evidence that a coronary artery disease-specific polygenic risk score can risk-stratify breast cancer survivors independently of other established cardiovascular risk factors.
Published: 2021
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40. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author: Daniel Barnes, Weiva Sieh, Jeffrey Weitzel, Paolo Peterlongo, Iain McNeish, Patricia Ganz, Allison Kurian, James Brenton, James Flanagan, Allison DePersia, Kate Lawrenson, Diether Lambrechts, Yin Ling Woo, Marc Goodman, Gareth Evans, Ana Peixoto, Katherine Nathanson, Mary Beth Terry, Jonathan Tyrer, Eileen Dareng, Zdeněk Kleibl, Cristina Rodriguez-Antona, Siel Olbrecht, Christoph Engel, and Niclas Håkansson
Subjects: Genetics, Genetics (clinical)
Published: 2022
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41. Genome-wide association studies identify susceptibility loci for epithelial ovarian cancer in east Asian women

Author: Yongyong Shi, Ji Yeob Choi, Emily Adler, Beth Y. Karlan, Kate Lawrenson, Sue Park, Simon A. Gayther, Christopher I. Amos, Ellen L. Goode, Keitaro Matsuo, Paul D.P. Pharoah, Noor Azmi Mat Adenan, Xiao-Ou Shu, Weihua Jia, Rosario I. Corona, Kang Shan, Soo-Hwang Teo, Yin L. Woo, Kexin Chen, Jennifer A. Doherty, Felipe Segato, Simon G. Coetzee, Gang J. Jin, Marcos A. S. Fonseca, Dennis J. Hazelett, Pamela J. Thompson, Wei Zheng, Thomas A. Sellers, Byoung-Gie Kim, L Yan, Andrew Berchuck, Weiva Sieh, Michael E. Carney, Qingyi Wei, Fengju Song, Boyoung Park, Siddhartha Kar, Georgia Chenevix-Trench, Houtan Noushmehr, Lian Li, Catherine M. Phelan, Boon K. Lim, Juyeon Lee, Norma Rodriguez-Malave, Celeste Leigh Pearce, Marc T. Goodman, Jonathan Tyrer, Nhu D. Le, Ji-Hei Seo, Lynne R. Wilkens, Mika Mizuno, and Matthew L. Freedman
Subjects: 0301 basic medicine, Oncology, medicine.medical_specialty, endocrine system diseases, Quantitative Trait Loci, Single-nucleotide polymorphism, Genome-wide association study, Carcinoma, Ovarian Epithelial, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, 0302 clinical medicine, Asian People, Internal medicine, Humans, Medicine, Genetic Predisposition to Disease, Genotyping, Genetic association, Base Sequence, business.industry, Case-control study, Obstetrics and Gynecology, Odds ratio, female genital diseases and pregnancy complications, 3. Good health, 030104 developmental biology, Case-Control Studies, 030220 oncology & carcinogenesis, Expression quantitative trait loci, Female, business, NEOPLASIAS OVARIANAS, Imputation (genetics), Genome-Wide Association Study
Abstract: OBJECTIVE. Genome-wide association studies (GWASs) for epithelial ovarian cancer (EOC) have focused largely on populations of European ancestry. We aimed to identify common germline variants associated with EOC risk in Asian women. METHODS. Genotyping was performed as part of the OncoArray project. Samples with >60% Asian ancestry were included in the analysis. Genotyping was performed on 533,631 SNPs in 3238 Asian subjects diagnosed with invasive or borderline EOC and 4083 unaffected controls. After imputation, genotypes were available for 11,595,112 SNPs to identify associations. RESULTS. At chromosome 6p25.2, SNP rs7748275 was associated with risk of serous EOC (odds ratio [OR] = 1.34, P = 8.7 × 10(−9)) and high-grade serous EOC (HGSOC) (OR = 1.34, P = 4.3 × 10(−9)). SNP rs6902488 at 6p25.2 (r(2) = 0.97 with rs7748275) lies in an active enhancer and is predicted to impact binding of STAT3, P300 and ELF1. We identified additional risk loci with low Bayesian false discovery probability (BFDP) scores, indicating they are likely to be true risk associations (BFDP
Published: 2019
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42. Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk

Author: Usha Menon, Ralf Bützow, Siddhartha Kar, Jonathan Tyrer, Francesmary Modugno, Ellen L. Goode, Diana Eccles, Cristina Rodríguez-Antona, Renée T. Fortner, Linda E. Kelemen, Elio Riboli, Javier Benitez, Taymaa May, Kexin Chen, David G. Huntsman, Susana Banerjee, Penelope M. Webb, Rosalind Glasspool, Hoda Anton-Culver, Andrew Berchuck, Emily White, Thilo Dörk, Lang Wu, Douglas A. Levine, Heli Nevanlinna, Anita Koushik, Joe Dennis, Veronica Wendy Setiawan, Walter C. Willett, Yingchang Lu, Håkan Olsson, Nicolas Wentzensen, Kang Shan, Holly R. Harris, N. Charlotte Onland-Moret, Claus Høgdall, Jennifer A. Doherty, Fei Ye, Yaohua Yang, Qiuyin Cai, Linda S. Cook, Jacek Gronwald, Keitaro Matsuo, Joellen M. Schildkraut, James D. Brenton, Isabelle Romieu, Shelley S. Tworoger, Anna H. Wu, Alvaro N.A. Monteiro, Roberta B. Ness, Paul D.P. Pharoah, James Paul, Alicia Beeghly-Fadiel, Wei Zheng, Lambertus A. Kiemeney, Rebecca Sutphen, Thomas A. Sellers, Michelle A.T. Hildebrandt, Yin Ling Woo, Simon A. Gayther, Meir J. Stampfer, Diether Lambrechts, Marc T. Goodman, Weiva Sieh, Line Bjørge, Lukasz Szafron, Leon F.A.G. Massuger, Daniel W. Cramer, Bingshan Li, Susan J. Ramus, Nadeem Siddiqui, Dale P. Sandler, Jirong Long, Peter A. Fasching, Tanja Pejovic, Drakoulis Yannoukakos, Florian Heitz, Beth Y. Karlan, Estrid Høgdall, Malcolm C. Pike, Anthony J. Swerdlow, Georgia Chenevix-Trench, Catherine M. Phelan, Xiang Shu, Digna R. Velez Edwards, Celeste Leigh Pearce, Sue K. Park, Patricia G. Moorman, Soo-Hwang Teo, Nhu D. Le, Susanne K. Kjaer, Kirsten B. Moysich, Graham G. Giles, Alicja Wolk, Iain A. McNeish, Xiao-Ou Shu, Jenny Chang-Claude, L Yan, Anna deFazio, Ian G. Campbell, HUSLAB, Department of Pathology, Medicum, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, and Clinicum
Subjects: 0301 basic medicine, Cancer Research, endocrine system diseases, Medizin, PROTEIN, Genome-wide association study, Carcinoma, Ovarian Epithelial, VARIANTS, THERAPY, DISEASE, Cohort Studies, Models, Ovarian Epithelial, MAPT, WIDE ASSOCIATION, GWAS, 2.1 Biological and endogenous factors, Aetiology, Cancer, Ovarian Neoplasms, Regulation of gene expression, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], Tumor, Methylation, female genital diseases and pregnancy complications, Ovarian Cancer, 3. Good health, Oncology, CpG site, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], DNA methylation, Female, Life Sciences & Biomedicine, Risk, SUSCEPTIBILITY LOCI, 3122 Cancers, Oncology and Carcinogenesis, Biology, Article, White People, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, Rare Diseases, Genetic, Predictive Value of Tests, Clinical Research, Genetic model, Biomarkers, Tumor, Genetics, medicine, Humans, Genetic Predisposition to Disease, Oncology & Carcinogenesis, Epigenetics, Science & Technology, Models, Genetic, IDENTIFICATION, Prevention, Carcinoma, Human Genome, DNA Methylation, medicine.disease, 030104 developmental biology, TISSUE, Cancer research, Women's Health, 1112 Oncology And Carcinogenesis, Biomarkers
Abstract: DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high-density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N = 1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P < 7.94 × 10−7. Of them, 87 were located at GWAS-identified EOC susceptibility regions and two resided in a genomic region not previously reported to be associated with EOC risk. Integrative analyses of genetic, methylation, and gene expression data identified consistent directions of associations across 12 CpG, five genes, and EOC risk, suggesting that methylation at these 12 CpG may influence EOC risk by regulating expression of these five genes, namely MAPT, HOXB3, ABHD8, ARHGAP27, and SKAP1. We identified novel DNA methylation markers associated with EOC risk and propose that methylation at multiple CpG may affect EOC risk via regulation of gene expression. Significance: Identification of novel DNA methylation markers associated with EOC risk suggests that methylation at multiple CpG may affect EOC risk through regulation of gene expression.
Published: 2019
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43. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer

Author: George Fountzilas, Taymaa May, Lukasz Szafron, Jasmine T. Plummer, Harvey A. Risch, Marjorie J. Riggan, Stacey J. Winham, Robert A. Vierkant, Alvaro N. Barbeira, Will T. Rosenow, Jennifer B. Permuth, Ailith Ewing, Rüdiger Klapdor, Håkan Olsson, Georgia Chenevix-Trench, Emmanouil Saloustros, Hae Kyung Im, Padma Sheila Rajagopal, Arif B. Ekici, Paolo Peterlongo, Florian Heitz, Beth Y. Karlan, Martin Köbel, Thilo Dörk, Susanne K. Kjaer, Estrid Høgdall, Fernando Salvador Moreno, Tomasz Huzarski, Jennifer A. Doherty, Joellen M. Schildkraut, Claus Høgdall, Jonathan Tyrer, Jenny Chang-Claude, Paolo Radice, Linda J. Titus, Elza Khusnutdinova, Simon A. Gayther, Kate Lawrenson, Clara Bodelon, Paul D.P. Pharoah, Lambertus A. Kiemeney, Siddhartha Kar, Stephanie S. Chen, Ellen L. Goode, Anna deFazio, Jingmei Li, Mikael Hartman, Clemens Liebrich, Jacques Simard, Andrew Berchuck, Peter Hillemanns, Ani Manichaikul, Cheryl L. Thompson, Felipe Segato Dezem, Allan Jensen, Wei Zheng, Daniel P C Considine, Susan J. Ramus, Tyrer, Jonathan [0000-0003-3724-4757], Pharoah, Paul [0000-0001-8494-732X], and Apollo - University of Cambridge Repository
Subjects: Genome-wide association study, QH426-470, Biology, Germline, 3105 Genetics, Article, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Rare Diseases, pleiotropy, Breast Cancer, medicine, Genetics, GWAS, 2.1 Biological and endogenous factors, Aetiology, Gene, Genetics (clinical), 030304 developmental biology, Genetic association, Cancer, 2 Aetiology, 0303 health sciences, Prevention, Human Genome, medicine.disease, 3. Good health, transcriptome-wide association study, Ovarian Cancer, 030220 oncology & carcinogenesis, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Cancer research, Molecular Medicine, Ovarian cancer, Imputation (genetics), 31 Biological Sciences, Biotechnology
Abstract: Contains fulltext : 237689.pdf (Publisher’s version ) (Open Access) Familial, sequencing, and genome-wide association studies (GWASs) and genetic correlation analyses have progressively unraveled the shared or pleiotropic germline genetics of breast and ovarian cancer. In this study, we aimed to leverage this shared germline genetics to improve the power of transcriptome-wide association studies (TWASs) to identify candidate breast cancer and ovarian cancer susceptibility genes. We built gene expression prediction models using the PrediXcan method in 681 breast and 295 ovarian tumors from The Cancer Genome Atlas and 211 breast and 99 ovarian normal tissue samples from the Genotype-Tissue Expression project and integrated these with GWAS meta-analysis data from the Breast Cancer Association Consortium (122,977 cases/105,974 controls) and the Ovarian Cancer Association Consortium (22,406 cases/40,941 controls). The integration was achieved through application of a pleiotropy-guided conditional/conjunction false discovery rate (FDR) approach in the setting of a TWASs. This identified 14 candidate breast cancer susceptibility genes spanning 11 genomic regions and 8 candidate ovarian cancer susceptibility genes spanning 5 genomic regions at conjunction FDR < 0.05 that were >1 Mb away from known breast and/or ovarian cancer susceptibility loci. We also identified 38 candidate breast cancer susceptibility genes and 17 candidate ovarian cancer susceptibility genes at conjunction FDR < 0.05 at known breast and/or ovarian susceptibility loci. The 22 genes identified by our cross-cancer analysis represent promising candidates that further elucidate the role of the transcriptome in mediating germline breast and ovarian cancer risk.
Published: 2021
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44. Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits.

Author: Joshua C Randall, Thomas W Winkler, Zoltán Kutalik, Sonja I Berndt, Anne U Jackson, Keri L Monda, Tuomas O Kilpeläinen, Tõnu Esko, Reedik Mägi, Shengxu Li, Tsegaselassie Workalemahu, Mary F Feitosa, Damien C Croteau-Chonka, Felix R Day, Tove Fall, Teresa Ferreira, Stefan Gustafsson, Adam E Locke, Iain Mathieson, Andre Scherag, Sailaja Vedantam, Andrew R Wood, Liming Liang, Valgerdur Steinthorsdottir, Gudmar Thorleifsson, Emmanouil T Dermitzakis, Antigone S Dimas, Fredrik Karpe, Josine L Min, George Nicholson, Deborah J Clegg, Thomas Person, Jon P Krohn, Sabrina Bauer, Christa Buechler, Kristina Eisinger, DIAGRAM Consortium, Amélie Bonnefond, Philippe Froguel, MAGIC Investigators, Jouke-Jan Hottenga, Inga Prokopenko, Lindsay L Waite, Tamara B Harris, Albert Vernon Smith, Alan R Shuldiner, Wendy L McArdle, Mark J Caulfield, Patricia B Munroe, Henrik Grönberg, Yii-Der Ida Chen, Guo Li, Jacques S Beckmann, Toby Johnson, Unnur Thorsteinsdottir, Maris Teder-Laving, Kay-Tee Khaw, Nicholas J Wareham, Jing Hua Zhao, Najaf Amin, Ben A Oostra, Aldi T Kraja, Michael A Province, L Adrienne Cupples, Nancy L Heard-Costa, Jaakko Kaprio, Samuli Ripatti, Ida Surakka, Francis S Collins, Jouko Saramies, Jaakko Tuomilehto, Antti Jula, Veikko Salomaa, Jeanette Erdmann, Christian Hengstenberg, Christina Loley, Heribert Schunkert, Claudia Lamina, H Erich Wichmann, Eva Albrecht, Christian Gieger, Andrew A Hicks, Asa Johansson, Peter P Pramstaller, Sekar Kathiresan, Elizabeth K Speliotes, Brenda Penninx, Anna-Liisa Hartikainen, Marjo-Riitta Jarvelin, Ulf Gyllensten, Dorret I Boomsma, Harry Campbell, James F Wilson, Stephen J Chanock, Martin Farrall, Anuj Goel, Carolina Medina-Gomez, Fernando Rivadeneira, Karol Estrada, André G Uitterlinden, Albert Hofman, M Carola Zillikens, Martin den Heijer, Lambertus A Kiemeney, Andrea Maschio, Per Hall, Jonathan Tyrer, Alexander Teumer, Henry Völzke, Peter Kovacs, Anke Tönjes, Massimo Mangino, Tim D Spector, Caroline Hayward, Igor Rudan, Alistair S Hall, Nilesh J Samani, Antony Paul Attwood, Jennifer G Sambrook, Joseph Hung, Lyle J Palmer, Marja-Liisa Lokki, Juha Sinisalo, Gabrielle Boucher, Heikki Huikuri, Mattias Lorentzon, Claes Ohlsson, Niina Eklund, Johan G Eriksson, Cristina Barlassina, Carlo Rivolta, Ilja M Nolte, Harold Snieder, Melanie M Van der Klauw, Jana V Van Vliet-Ostaptchouk, Pablo V Gejman, Jianxin Shi, Kevin B Jacobs, Zhaoming Wang, Stephan J L Bakker, Irene Mateo Leach, Gerjan Navis, Pim van der Harst, Nicholas G Martin, Sarah E Medland, Grant W Montgomery, Jian Yang, Daniel I Chasman, Paul M Ridker, Lynda M Rose, Terho Lehtimäki, Olli Raitakari, Devin Absher, Carlos Iribarren, Hanneke Basart, Kees G Hovingh, Elina Hyppönen, Chris Power, Denise Anderson, John P Beilby, Jennie Hui, Jennifer Jolley, Hendrik Sager, Stefan R Bornstein, Peter E H Schwarz, Kati Kristiansson, Markus Perola, Jaana Lindström, Amy J Swift, Matti Uusitupa, Mustafa Atalay, Timo A Lakka, Rainer Rauramaa, Jennifer L Bolton, Gerry Fowkes, Ross M Fraser, Jackie F Price, Krista Fischer, Kaarel Krjutå Kov, Andres Metspalu, Evelin Mihailov, Claudia Langenberg, Jian'an Luan, Ken K Ong, Peter S Chines, Sirkka M Keinanen-Kiukaanniemi, Timo E Saaristo, Sarah Edkins, Paul W Franks, Göran Hallmans, Dmitry Shungin, Andrew David Morris, Colin N A Palmer, Raimund Erbel, Susanne Moebus, Markus M Nöthen, Sonali Pechlivanis, Kristian Hveem, Narisu Narisu, Anders Hamsten, Steve E Humphries, Rona J Strawbridge, Elena Tremoli, Harald Grallert, Barbara Thorand, Thomas Illig, Wolfgang Koenig, Martina Müller-Nurasyid, Annette Peters, Bernhard O Boehm, Marcus E Kleber, Winfried März, Bernhard R Winkelmann, Johanna Kuusisto, Markku Laakso, Dominique Arveiler, Giancarlo Cesana, Kari Kuulasmaa, Jarmo Virtamo, John W G Yarnell, Diana Kuh, Andrew Wong, Lars Lind, Ulf de Faire, Bruna Gigante, Patrik K E Magnusson, Nancy L Pedersen, George Dedoussis, Maria Dimitriou, Genovefa Kolovou, Stavroula Kanoni, Kathleen Stirrups, Lori L Bonnycastle, Inger Njølstad, Tom Wilsgaard, Andrea Ganna, Emil Rehnberg, Aroon Hingorani, Mika Kivimaki, Meena Kumari, Themistocles L Assimes, Inês Barroso, Michael Boehnke, Ingrid B Borecki, Panos Deloukas, Caroline S Fox, Timothy Frayling, Leif C Groop, Talin Haritunians, David Hunter, Erik Ingelsson, Robert Kaplan, Karen L Mohlke, Jeffrey R O'Connell, David Schlessinger, David P Strachan, Kari Stefansson, Cornelia M van Duijn, Gonçalo R Abecasis, Mark I McCarthy, Joel N Hirschhorn, Lu Qi, Ruth J F Loos, Cecilia M Lindgren, Kari E North, and Iris M Heid
Subjects: Genetics, QH426-470
Abstract: Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR
Published: 2013
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45. Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer

Author: Timothy H.T. Cheng, V. Wendy Setiawan, Jolanta Lissowska, Kamila Czene, Zhaoming Wang, Linda S. Cook, Shirley Hodgson, Mitul Shah, Matthias W. Beckmann, Douglas F. Easton, Annika Lindblom, Daniel D. Buchanan, Wei Zheng, Constance Turman, Gloria E. Sarto, Susan E. Hankinson, Chu Chen, Joe Dennis, Christine M. Friedenreich, Dylan M. Glubb, Peter Hillemanns, Tracy A. O'Mara, Camilla Krakstad, Yong-Bing Xiang, Arif B. Ekici, Maxine M. Chen, Marta Crous-Bous, Montserrat Garcia-Closas, David Van Den Berg, Amanda Black, Immaculata De Vivo, Roger L. Milne, Geoffrey Otton, Frédéric Amant, Timothy R. Rebbeck, Carlotta Sacerdote, Erling A. Hoivik, Xiao-Ou Shu, Melissa C. Southey, Paul L. Auer, Brooke L. Fridley, Thilo Dörk, Elizabeth G. Holliday, Fredrick R. Schumacher, Loreall Pooler, Daniela Annibali, Mia M. Gaudet, Maggie Gorman, Peter A. Fasching, Matthias Rübner, Hannah P. Yang, Graham G. Giles, Stefan P. Renner, Jirong Long, Ellen L. Goode, Katie A. Ashton, Claire Palles, Emma Tham, Diether Lambrechts, Xin Sheng, Rodney J. Scott, Angela M. Jones, Alexander Hein, Amanda B. Spurdle, Nicolas Wentzensen, David J. Hunter, Rami Nassir, Peter Kraft, Lynn Martin, Christopher A. Haiman, Alison M. Dunning, Stephen J. Chanock, Jone Trovik, Loic Le Marchand, Harvey A. Risch, Tony Proietto, Matthias Dürst, Sean C. Dowdy, Lucy Xia, Miriam Mints, Anthony M. Magliocco, Pik Fang Kho, Herbert Yu, Lingeng Lu, Mark McEvoy, Xiaolin Liang, Louise A. Brinton, Per Hall, Jonathan Tyrer, Ingo B. Runnebaum, Penelope M. Webb, John Attia, Ian Tomlinson, Deborah J. Thompson, Buchanan, Daniel D [0000-0003-2225-6675], Chen, Chu [0000-0003-2267-8050], De Vivo, Immaculata [0000-0002-7185-7402], Dörk, Thilo [0000-0002-9458-0282], Fasching, Peter A [0000-0003-4885-8471], Friedenreich, Christine M [0000-0002-4783-1966], Gaudet, Mia M [0000-0002-6429-4007], Goode, Ellen L [0000-0002-9094-8326], Lu, Lingeng [0000-0001-9871-0809], Sacerdote, Carlotta [0000-0002-8008-5096], Shu, Xiao-Ou [0000-0002-0711-8314], Wang, Zhaoming [0000-0001-7556-3869], Wentzensen, Nicolas [0000-0003-1251-0836], Xiang, Yong-Bing [0000-0002-3840-9915], Yu, Herbert [0000-0003-3950-4815], Spurdle, Amanda B [0000-0003-1337-7897], O'Mara, Tracy A [0000-0002-5436-3232], Apollo - University of Cambridge Repository, ARD - Amsterdam Reproduction and Development, Obstetrics and Gynaecology, and CCA - Imaging and biomarkers
Subjects: Oncology, Cancer Research, Colorectal cancer, Blood lipids, chemistry.chemical_compound, 0302 clinical medicine, HDL cholesterol, Medicine, triglycerides, METABOLIC SYNDROME, 2. Zero hunger, Mendelian Randomization Analysis, ASSOCIATION, 3. Good health, 030220 oncology & carcinogenesis, LDL cholesterol, SERUM-LIPIDS, Female, lipids (amino acids, peptides, and proteins), Life Sciences & Biomedicine, Risk, medicine.medical_specialty, endometrial cancer risk, Article, 03 medical and health sciences, INFLAMMATION, Internal medicine, Mendelian randomization, CAUSAL, Humans, Science & Technology, Cholesterol, business.industry, Endometrial cancer, Cholesterol, HDL, Case-control study, Cholesterol, LDL, medicine.disease, Endometrial Neoplasms, BODY-MASS INDEX, LIPOPROTEIN, chemistry, Case-Control Studies, RISK-FACTORS, Metabolic syndrome, business, Genome-Wide Association Study
Abstract: Blood lipids have been associated with the development of a range of cancers, including breast, lung and colorectal cancer. For endometrial cancer, observational studies have reported inconsistent associations between blood lipids and cancer risk. To reduce biases from unmeasured confounding, we performed a bidirectional, two-sample Mendelian randomization analysis to investigate the relationship between levels of three blood lipids (low-density lipoprotein [LDL] and high-density lipoprotein [HDL] cholesterol, and triglycerides) and endometrial cancer risk. Genetic variants associated with each of these blood lipid levels (P
Published: 2021
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46. Author Correction: A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

Author: Pascal Guénel, John J. Spinelli, Hoda Anton-Culver, Veli-Matti Kosma, Beth Y. Karlan, Antonis C. Antoniou, Brian D. Carter, Drakoulis Yannoukakos, Orland Diez, Montserrat Garcia-Closas, Uffe Birk Jensen, Susan M. Gapstur, Christine L. Clarke, Florentia Fostira, Trinidad Caldés, Wei Zheng, Diana Eccles, Don M. Conroy, Kristan J. Aronson, Sara Margolin, Thomas U. Ahearn, Hedy S. Rennert, Evgeny N. Imyanitov, Rulla M. Tamimi, Mary Beth Terry, Jenny Chang-Claude, Per Hall, Daniel R. Barnes, Alex Teulé, D. Gareth Evans, Åke Borg, Frans B. L. Hogervorst, Yon-Dschun Ko, Celine M. Vachon, Graham G. Giles, Simona Agata, Gad Rennert, Yuan Chun Ding, J. Margriet Collée, Alison M. Dunning, Regina M. Santella, Banu Arun, William J. Tapper, Melissa C. Southey, Finn Cilius Nielsen, Michael T. Parsons, Marjanka K. Schmidt, Alfons Meindl, Vassilios Georgoulias, Simon A. Gayther, Debra Frost, Noura Mebirouk, Hebon Investigators, Austin Miller, Sue K. Park, Anthony J Swerdlow, Emmanouil Saloustros, Isabel dos-Santos-Silva, Laura Ottini, Jack A. Taylor, Siranoush Manoukian, Maria A. Caligo, Douglas F. Easton, Christoph Engel, Antoinette Hollestelle, Ana Vega, Muriel A. Adank, Mia M. Gaudet, Heko Becher, Lothar Haeberle, Priyanka Sharma, Katherine L. Nathanson, Mads Thomassen, Miriam Dwek, Manuela Gago-Dominguez, Hiltrud Brauch, Kamila Czene, Peter A. Fasching, Peter J. Hulick, David E. Goldgar, Lesley McGuffog, Anna Jakubowska, Paul D.P. Pharoah, Adrià López-Fernández, Bruce Poppe, Volker Arndt, Georgia Chenevix-Trench, Tjoung-Won Park-Simon, Jennifer Stone, Wendy K. Chung, Joseph Vijai, Qin Wang, Penny Soucy, Miquel Angel Pujana, Diether Lambrechts, Vanesa García-Barberán, Andrea Gehrig, Anna González-Neira, Thérèse Truong, Jenny Lester, Wei He, Dale P. Sandler, Rita K. Schmutzler, Julian Peto, A. Heather Eliassen, Paolo Radice, Yael Laitman, Johanna Rantala, Kelly-Anne Phillips, Amanda E. Toland, Bernardo Bonanni, Muhammad Usman Rashid, Heli Nevanlinna, John L. Hopper, Kevin Punie, kConFab Investigators, Thilo Dörk, Judy Garber, Alison H. Trainer, Irene L. Andrulis, Jeffrey N. Weitzel, Michael Jones, Caroline Baynes, David J. Hunter, Mark S. Goldberg, Kristiina Aittomäki, Barbara Burwinkel, Jonathan Beesley, Maria Rossing, Norbert Arnold, Kathleen Claes, Renske Keeman, Esther M. John, John W.M. Martens, Katie M. O'Brien, Paolo Peterlongo, Mark H. Greene, Tracy A. O'Mara, Saundra S. Buys, Craig Luccarini, Atocha Romero, Paul A. James, Siddhartha Yadav, Zoe Steinsnyder, Diana Torres, Rudolf Kaaks, Camilla Wendt, Fabienne Lesueur, Ana Osorio, Olufunmilayo I. Olopade, Christopher A. Haiman, Agnes Jager, Tricia Lindstrom, Peter Devilee, Kristin K. Zorn, Loic Le Marchand, Darling J. Horcasitas, Michael Lush, Mark E. Robson, Jennifer T. Loud, Roger L. Milne, Lin Fritschi, Johanna I. Kiiski, Eric Hahnen, Jacques Simard, Annelie Augustinsson, Stig E. Bojesen, Kenneth Offit, Nadine Andrieu, Xiaohong R. Yang, Pooja Middha Kapoor, Joe Dennis, Beth N. Peshkin, Nadege Presneau, Darcy L. Thull, Fergus J. Couch, Gunnar Schmidt, Ute Hamann, Susan M. Domchek, Henrik Flyger, Mary B. Daly, Håkan Olsson, Clarice R. Weinberg, Niclas Håkansson, Elza Khusnutdinova, Inge Søkilde Pedersen, Manjeet K. Bolla, Steven N. Hart, Carl Blomqvist, Janet E. Olson, Maren T. Scheuner, Barbara Wappenschmidt, Marc Tischkowitz, Dominique Stoppa-Lyonnet, Nadine Tung, Stephen J. Chanock, Leslie Bernstein, Mikael Eriksson, José A. García-Sáenz, Jonathan Tyrer, Jose E. Castelao, Peter Kraft, Goska Leslie, Arto Mannermaa, Christopher G. Scott, Jacopo Azzollini, Eitan Friedman, Allison W. Kurian, Katarzyna Białkowska, Argyrios Ziogas, Hermann Brenner, Andrew K. Godwin, Patricia Harrington, Juliette Coignard, Daniele Campa, Susan L. Neuhausen, Marco Montagna, Marina Bermisheva, Alicja Wolk, Eric C. Polley, Abctb Investigators, and Daniel Barrowdale
Subjects: Adult, Genotype, media_common.quotation_subject, Science, Quantitative Trait Loci, General Physics and Astronomy, Breast Neoplasms, 02 engineering and technology, Brca1 brca2, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Linkage Disequilibrium, 03 medical and health sciences, Breast cancer, Cancer epidemiology, Humans, Genetic Predisposition to Disease, Author Correction, Cancer genetics, Alleles, 030304 developmental biology, media_common, BRCA2 Protein, 0303 health sciences, Multidisciplinary, BRCA1 Protein, Published Erratum, General Chemistry, Art, Middle Aged, 021001 nanoscience & nanotechnology, 3. Good health, Risk factors, Mutation, Female, 0210 nano-technology, Humanities, Genome-Wide Association Study
Abstract: Author(s): Coignard, Juliette; Lush, Michael; Beesley, Jonathan; O'Mara, Tracy A; Dennis, Joe; Tyrer, Jonathan P; Barnes, Daniel R; McGuffog, Lesley; Leslie, Goska; Bolla, Manjeet K; Adank, Muriel A; Agata, Simona; Ahearn, Thomas; Aittomaki, Kristiina; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Arnold, Norbert; Aronson, Kristan J; Arun, Banu K; Augustinsson, Annelie; Azzollini, Jacopo; Barrowdale, Daniel; Baynes, Caroline; Becher, Heko; Bermisheva, Marina; Bernstein, Leslie; Bialkowska, Katarzyna; Blomqvist, Carl; Bojesen, Stig E; Bonanni, Bernardo; Borg, Ake; Brauch, Hiltrud; Brenner, Hermann; Burwinkel, Barbara; Buys, Saundra S; Caldes, Trinidad; Caligo, Maria A; Campa, Daniele; Carter, Brian D; Castelao, Jose E; Chang-Claude, Jenny; Chanock, Stephen J; Chung, Wendy K; Claes, Kathleen BM; Clarke, Christine L; GEMO Study Collaborators; EMBRACE Collaborators; Collee, J Margriet; Conroy, Don M; Czene, Kamila; Daly, Mary B; Devilee, Peter; Diez, Orland; Ding, Yuan Chun; Domchek, Susan M; Dork, Thilo; Dos-Santos-Silva, Isabel; Dunning, Alison M; Dwek, Miriam; Eccles, Diana M; Eliassen, A Heather; Engel, Christoph; Eriksson, Mikael; Evans, D Gareth; Fasching, Peter A; Flyger, Henrik; Fostira, Florentia; Friedman, Eitan; Fritschi, Lin; Frost, Debra; Gago-Dominguez, Manuela; Gapstur, Susan M; Garber, Judy; Garcia-Barberan, Vanesa; Garcia-Closas, Montserrat; Garcia-Saenz, Jose A; Gaudet, Mia M; Gayther, Simon A; Gehrig, Andrea; Georgoulias, Vassilios; Giles, Graham G; Godwin, Andrew K; Goldberg, Mark S; Goldgar, David E | Abstract: A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-23162-4.
Published: 2021
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47. Inherited variants in regulatory T cell genes and outcome of ovarian cancer.

Author: Ellen L Goode, Melissa DeRycke, Kimberly R Kalli, Ann L Oberg, Julie M Cunningham, Matthew J Maurer, Brooke L Fridley, Sebastian M Armasu, Daniel J Serie, Priya Ramar, Krista Goergen, Robert A Vierkant, David N Rider, Hugues Sicotte, Chen Wang, Boris Winterhoff, Catherine M Phelan, Joellen M Schildkraut, Rachel P Weber, Ed Iversen, Andrew Berchuck, Rebecca Sutphen, Michael J Birrer, Shalaka Hampras, Leah Preus, Simon A Gayther, Susan J Ramus, Nicolas Wentzensen, Hannah P Yang, Montserrat Garcia-Closas, Honglin Song, Jonathan Tyrer, Paul P D Pharoah, Gottfried Konecny, Thomas A Sellers, Roberta B Ness, Lara E Sucheston, Kunle Odunsi, Lynn C Hartmann, Kirsten B Moysich, and Keith L Knutson
Subjects: Medicine, Science
Abstract: Although ovarian cancer is the most lethal of gynecologic malignancies, wide variation in outcome following conventional therapy continues to exist. The presence of tumor-infiltrating regulatory T cells (Tregs) has a role in outcome of this disease, and a growing body of data supports the existence of inherited prognostic factors. However, the role of inherited variants in genes encoding Treg-related immune molecules has not been fully explored. We analyzed expression quantitative trait loci (eQTL) and sequence-based tagging single nucleotide polymorphisms (tagSNPs) for 54 genes associated with Tregs in 3,662 invasive ovarian cancer cases. With adjustment for known prognostic factors, suggestive results were observed among rarer histological subtypes; poorer survival was associated with minor alleles at SNPs in RGS1 (clear cell, rs10921202, p=2.7×10(-5)), LRRC32 and TNFRSF18/TNFRSF4 (mucinous, rs3781699, p=4.5×10(-4), and rs3753348, p=9.0×10(-4), respectively), and CD80 (endometrioid, rs13071247, p=8.0×10(-4)). Fo0r the latter, correlative data support a CD80 rs13071247 genotype association with CD80 tumor RNA expression (p=0.006). An additional eQTL SNP in CD80 was associated with shorter survival (rs7804190, p=8.1×10(-4)) among all cases combined. As the products of these genes are known to affect induction, trafficking, or immunosuppressive function of Tregs, these results suggest the need for follow-up phenotypic studies.
Published: 2013
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48. A Comprehensive Epithelial Tubo-Ovarian Cancer Risk Prediction Model Incorporating Genetic and Epidemiological Risk Factors

Author: Douglas F. Easton, Nasim Mavaddat, Andy Ryan, Jonathan Tyrer, Goska Leslie, Usha Menon, Alex P Cunningham, Simon A. Gayther, Ian Jacobs, Paul P.D. Pharoah, Aleksandra Gentry-Maharaj, Marc Tischkowitz, Andrew Lee, Ranjit Manchanda, Antonis C. Antoniou, Stephanie Archer, Susan J. Ramus, Tim Carver, Xin Yang, Fiona M Walter, Jatinderpal Kalsi, and Faiza Gaba
Subjects: Oncology, medicine.medical_specialty, education.field_of_study, Percentile, Tubo-ovarian, business.industry, Population, Cancer, medicine.disease, Internal medicine, Epidemiology, medicine, Family history, Cancer risk, Adverse effect, business, education
Abstract: BackgroundEpithelial tubo-ovarian cancer (EOC) has high mortality partly due to late diagnosis. Prevention is available but may be associated with adverse effects. A multifactorial risk model based on known genetic and epidemiological risk factors (RFs) for EOC can help identify females at higher risk who could benefit from targeted screening and prevention.MethodsWe developed a multifactorial EOC risk model for females of European ancestry incorporating the effects of pathogenic variants (PVs) inBRCA1, BRCA2, RAD51C, RAD51DandBRIP1, a polygenic risk score (PRS) of arbitrary size, the effects of RFs and explicit family history (FH) using a synthetic model approach. The PRS, PV and RFs were assumed to act multiplicatively.ResultsBased on a currently available PRS for EOC that explains 5% of the EOC polygenic variance, the estimated lifetime risks under the multifactorial model in the general population vary from 0.5% to 4.6% for the 1stto 99thpercentiles of the EOC risk-distribution. The corresponding range for females with an affected first-degree relative is 1.9% to 10.3%. Based on the combined risk distribution, 33% of RAD51D PV carriers are expected to have a lifetime EOC risk of less than 10%. RFs provided the widest distribution, followed by the PRS. In an independent partial model validation, absolute and relative 5-year risks were well-calibrated in quintiles of predicted risk.ConclusionThis multifactorial risk model can facilitate stratification, in particular among females with FH of cancer and/or moderate- and high-risk PVs. The model is available via the CanRisk Tool (www.canrisk.org).
Published: 2020
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49. European polygenic risk score for prediction of breast cancer shows similar performance in Asian women

Author: Ava Kwong, Anna H. Wu, Kiat Tee Benita Tan, Joanne Ngeow, Anushya Vijayananthan, Kiak Mien Veronique Tan, Qin Wang, Taiki Yamaji, Tsun Leung Chan, Su Ming Tan, Hidemi Ito, Rob M. van Dam, Jaime Seah, Peh Joo Ho, Daniel O. Stram, Jacques Simard, Patrick M. Y. Chan, Chen-Yang Shen, Jingmei Li, Joe Dennis, Sook-Yee Yoon, Ern Yu Tan, Xueling Sim, Min Min Tan, Xiao-Ou Shu, Mei Chee Tai, Antonis C. Antoniou, Keitaro Matsuo, Suniza Jamaris, Chiea Chuen Khor, Jyh Cherng Yu, Sung-Won Kim, Kyriaki Michailidou, Paul D.P. Pharoah, Woon Puay Koh, Ji Yeob Choi, Shivaani Mariapun, Nasim Mavaddat, Geok Hoon Lim, Kartini Rahmat, John J. Spinelli, Swee Ho Lim, Cheng Har Yip, Kristan J. Aronson, Manjeet K. Bolla, Artitaya Lophatananon, Jonathan Tyrer, Motoki Iwasaki, Wei Zheng, Mikael Hartman, Siti Norhidayu Hasan, Nur Aishah Taib, Ching Wan Chan, Daehee Kang, Alison M. Dunning, Kenneth Muir, Weang Kee Ho, Douglas F. Easton, Soo H. Teo, Esther M. John, Sue K. Park, Wei Sean Yong, Allison W. Kurian, Ho, Weang-Kee [0000-0002-8269-7344], Tan, Min-Min [0000-0002-9123-3445], Li, Jingmei [0000-0001-8587-7511], Ho, Peh-Joo [0000-0002-3017-4023], Dennis, Joe [0000-0003-4591-1214], Tyrer, Jonathan P. [0000-0003-3724-4757], Park, Sue K. [0000-0001-5002-9707], Muir, Kenneth [0000-0001-6429-988X], Stram, Daniel O. [0000-0001-7099-9022], Matsuo, Keitaro [0000-0003-1761-6314], Ito, Hidemi [0000-0002-8023-4581], Chan, Ching Wan [0000-0002-9250-1296], Lim, Geok Hoon [0000-0002-5296-3437], Kurian, Allison W. [0000-0002-6175-9470], Khor, Chiea Chuen [0000-0002-1128-4729], Rahmat, Kartini [0000-0001-8513-9076], Sim, Xueling [0000-0002-1233-7642], Pharoah, Paul D. P. [0000-0001-8494-732X], Dunning, Alison M. [0000-0001-6651-7166], Simard, Jacques [0000-0001-6906-3390], Yip, Cheng-Har [0000-0002-6507-9675], Easton, Douglas F. [0000-0003-2444-3247], Teo, Soo-Hwang [0000-0002-0444-590X], Apollo - University of Cambridge Repository, Tyrer, Jonathan P [0000-0003-3724-4757], Park, Sue K [0000-0001-5002-9707], Stram, Daniel O [0000-0001-7099-9022], Kurian, Allison W [0000-0002-6175-9470], Pharoah, Paul DP [0000-0001-8494-732X], Dunning, Alison M [0000-0001-6651-7166], and Easton, Douglas F [0000-0003-2444-3247]
Subjects: 0301 basic medicine, Multifactorial Inheritance, 45/43, General Physics and Astronomy, Genome-wide association study, 0302 clinical medicine, Breast cancer, Odds Ratio, Medicine, Prospective cohort study, lcsh:Science, Cancer genetics, Cancer, Multidisciplinary, Middle Aged, Prognosis, 3. Good health, Europe, 030220 oncology & carcinogenesis, language, Female, 692/499, 631/67, Adult, Risk, Asia, 45/61, Science, 45/22, Breast Neoplasms, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, Europe/epidemiology, 03 medical and health sciences, Risk distribution, 631/67/68, Humans, Genetic Predisposition to Disease, Malay, Aged, Asia/epidemiology, business.industry, Case-control study, Breast Neoplasms/diagnosis, General Chemistry, Odds ratio, 631/67/1347, medicine.disease, language.human_language, 030104 developmental biology, Risk factors, Case-Control Studies, Polygenic risk score, lcsh:Q, business, Demography, Genome-Wide Association Study
Abstract: Polygenic risk scores (PRS) have been shown to predict breast cancer risk in European women, but their utility in Asian women is unclear. Here we evaluate the best performing PRSs for European-ancestry women using data from 17,262 breast cancer cases and 17,695 controls of Asian ancestry from 13 case-control studies, and 10,255 Chinese women from a prospective cohort (413 incident breast cancers). Compared to women in the middle quintile of the risk distribution, women in the highest 1% of PRS distribution have a ~2.7-fold risk and women in the lowest 1% of PRS distribution has ~0.4-fold risk of developing breast cancer. There is no evidence of heterogeneity in PRS performance in Chinese, Malay and Indian women. A PRS developed for European-ancestry women is also predictive of breast cancer risk in Asian women and can help in developing risk-stratified screening programmes in Asia., Polygenic risk scores predict the likelihood that an individual will develop a certain cancer, however these are often specific for a given population. Here, the authors show that a risk score developed to assess the risk of breast cancer in European women can also predict risk in Asian populations.
Published: 2020
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50. Combining genome-wide studies of breast, prostate, ovarian and endometrial cancers maps cross-cancer susceptibility loci and identifies new genetic associations

Author: Rosalind A. Eeles, Anne van Altena, Rüdiger Klapdor, Rayjean J. Hung, Graham G. Giles, Ingo B. Runnebaum, Stacey J. Winham, Alicia Beeghly-Fadiel, Michelle A.T. Hildebrandt, Ruea-Yea Huang, Amanda B. Spurdle, Ahmad Alsulimani, Robert Winqvist, Robert J. Hamilton, Clare Turnbull, James M. Flanagan, Jan Gawełko, Kenneth Muir, Peter Kraft, Joseph Vijai, Anna Jakubowska, Paul D.P. Pharoah, Stephen J. Chanock, Ailith Ewing, Mary B. Daly, Artitaya Lophatananon, Arvids Irmejs, Hiltrud Brauch, Paolo Radice, Camilla Krakstad, Liher Imaz, Lambertus A. Kiemeney, Clara Bodelon, Nadeem Siddiqui, Alvaro N.A. Monteiro, Bozena Konopka, Taymaa May, Herbert Yu, Stefanie Burghaus, Michael E. Carney, Siddhartha Kar, Beata Spiewankiewicz, Fernando Moreno Antón, Andreas du Bois, Sune F. Nielsen, Ian Tomlinson, Elza Khusnutdinova, Paolo Peterlongo, Zhihua Chen, Deborah J. Thompson, Agnieszka Podgorski, Päivi Kannisto, Andrew Berchuck, Jenny Chang-Claude, Susan J. Ramus, Florian Heitz, Nawaid Usmani, Tracy A. O'Mara, Joellen M. Schildkraut, Jennifer Permuth, Beth Y. Karlan, Ignace Vergote, Douglas F. Easton, Sara Lindstroem, Agnieszka Mieszkowska, Kirsten B. Moysich, Ana Vega-Gliemmo, Simon A. Gayther, Arif B. Ekici, Lukasz Szafron, Kunle Odunsi, Marjanka K. Schmidt, Harvey A. Risch, Linda J. Titus, Weiva Sieh, Robert A. Vierkant, Davor Lessel, Line Bjørge, Allan Jensen, Wei Zheng, Holly R. Harris, Petra Kleiblova, Peter A. Fasching, Jonathan Tyrer, Iwona K. Rzepecka, Georgia Chenevix-Trench, Tjoung-Won Park-Simon, Susanne K. Kjaer, Esther M. John, Daniele Campa, Veronica Wendy Setiawan, Martin Koebel, Cheryl L. Thompson, Håkan Olsson, Dylan M. Glubb, Peter Hillemanns, and Kate Lawrenson
Subjects: Oncology, medicine.medical_specialty, Endometrial cancer, Cancer susceptibility, Susceptibility gene, Effective sample size, Biology, medicine.disease, Genome, medicine.anatomical_structure, Prostate, Internal medicine, medicine, Genetic association
Abstract: We report a meta-analysis of breast, prostate, ovarian, and endometrial cancer genome-wide association data (effective sample size: 237,483 cases/317,006 controls). This identified 465 independent lead variants (P−8) across 192 genomic regions. Four lead variants were >1Mb from previously identified risk loci for the four cancers and an additional 23 lead variant-cancer associations were novel for one of the cancers. Bayesian models supported pleiotropic effects involving at least two cancers at 222/465 lead variants in 118/192 regions. Gene-level association analysis identified 13 shared susceptibility genes (P−6) in 13 regions not previously implicated in any of the four cancers and not uncovered by our variant-level meta-analysis. Several lead variants had opposite effects across cancers, including a cluster of such variants in the TP53 pathway. Fifty-four lead variants were associated with blood cell traits and suggested genetic overlaps with clonal hematopoiesis. Our study highlights the remarkable pervasiveness of pleiotropy across hormone-related cancers, further illuminating their shared genetic and mechanistic origins at variant- and gene-level resolution.
Published: 2020
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