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1. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, Eileen O., Tyrer, Jonathan P., Barnes, Daniel R., Jones, Michelle R., Yang, Xin, Aben, Katja K. H., Adank, Muriel A., Agata, Simona, Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Aravantinos, Gerasimos, Arun, Banu K., Augustinsson, Annelie, Balmaña, Judith, Bandera, Elisa V., Barkardottir, Rosa B., Barrowdale, Daniel, Beckmann, Matthias W., Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q., Bjorge, Line, Black, Amanda, Bogdanova, Natalia V., Bonanni, Bernardo, Borg, Ake, Brenton, James D., Budzilowska, Agnieszka, Butzow, Ralf, Buys, Saundra S., Cai, Hui, Caligo, Maria A., Campbell, Ian, Cannioto, Rikki, Cassingham, Hayley, Chang-Claude, Jenny, Chanock, Stephen J., Chen, Kexin, Chiew, Yoke-Eng, Chung, Wendy K., Claes, Kathleen, Colonna, Sarah, Lesueur, Fabienne, Mebirouk, Noura, Engel, Christoph, Schmutzler, Rita K., Davies, Eleanor, Eccles, Diana M., Evans, D. Gareth, Cook, Linda S., Couch, Fergus J., Daly, Mary B., Dao, Fanny, de la Hoya, Miguel, de Putter, Robin, Dennis, Joe, DePersia, Allison, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer A., Domchek, Susan M., Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eliassen, Heather A., Evans, Gareth D., Fasching, Peter A., Flanagan, James M., Fortner, Renée T., Machackova, Eva, Friedman, Eitan, Ganz, Patricia A., Garber, Judy, Gensini, Francesca, Giles, Graham G., Glendon, Gord, Godwin, Andrew K., Goodman, Marc T., Greene, Mark H., Gronwald, Jacek, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hamann, Ute, Hansen, Thomas V. O., Harris, Holly R., Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle A. T., Høgdall, Estrid, Høgdall, Claus K., Hopper, John L., Huang, Ruea-Yea, Huff, Chad, Hulick, Peter J., Huntsman, David G., Imyanitov, Evgeny N., Chenevix-Trench, Georgia, van der Hout, Annemieke H., Isaacs, Claudine, Jakubowska, Anna, James, Paul A., Janavicius, Ramunas, Jensen, Allan, Johannsson, Oskar Th., John, Esther M., Jones, Michael E., Kang, Daehee, Karlan, Beth Y., Karnezis, Anthony, Kelemen, Linda E., Khusnutdinova, Elza, Kiemeney, Lambertus A., Kim, Byoung-Gie, Kjaer, Susanne K., Komenaka, Ian, Kupryjanczyk, Jolanta, Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Melissa C., Lazaro, Conxi, Le, Nhu D., Leslie, Goska, Lester, Jenny, Levine, Douglas A., Li, Lian, Li, Jingmei, Loud, Jennifer T., Lu, Karen H., Lubiński, Jan, Mai, Phuong L., Manoukian, Siranoush, Marks, Jeffrey R., Matsuno, Rayna Kim, Matsuo, Keitaro, May, Taymaa, McGuffog, Lesley, McLaughlin, John R., McNeish, Iain A., Menon, Usha, Miller, Austin, Milne, Roger L., Minlikeeva, Albina, Modugno, Francesmary, Montagna, Marco, Moysich, Kirsten B., Munro, Elizabeth, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Yie, Joanne Ngeow Yuen, Nielsen, Henriette Roed, Nielsen, Finn C., Nikitina-Zake, Liene, Odunsi, Kunle, Offit, Kenneth, Olah, Edith, Olbrecht, Siel, Olopade, Olufunmilayo I., Olson, Sara H., Olsson, Håkan, Osorio, Ana, Papi, Laura, Park, Sue K., Parsons, Michael T., Pathak, Harsha, Pedersen, Inge Sokilde, Peixoto, Ana, Pejovic, Tanja, Perez-Segura, Pedro, Permuth, Jennifer B., Peshkin, Beth, Peterlongo, Paolo, Piskorz, Anna, Prokofyeva, Darya, Radice, Paolo, Rantala, Johanna, Riggan, Marjorie J., Risch, Harvey A., Rodriguez-Antona, Cristina, Ross, Eric, Rossing, Mary Anne, Runnebaum, Ingo, Sandler, Dale P., Santamariña, Marta, Soucy, Penny, Setiawan, V. Wendy, Shan, Kang, Sieh, Weiva, Simard, Jacques, Singer, Christian F., Sokolenko, Anna P., Song, Honglin, Southey, Melissa C., Steed, Helen, Stoppa-Lyonnet, Dominique, Sutphen, Rebecca, Swerdlow, Anthony J., Tan, Yen Yen, Teixeira, Manuel R., Teo, Soo Hwang, Terry, Kathryn L., Terry, Mary Beth, Thompson, Pamela J., Thomsen, Liv Cecilie Vestrheim, Titus, Linda, Trabert, Britton, Travis, Ruth, Tworoger, Shelley S., Valen, Ellen, van Altena, Anne M., Van Nieuwenhuysen, Els, Edwards, Digna Velez, Vierkant, Robert A., Wang, Frances, Webb, Penelope M., Weinberg, Clarice R., Wentzensen, Nicolas, White, Emily, Whittemore, Alice S., Winham, Stacey J., Wolk, Alicja, Woo, Yin-Ling, Wu, Anna H., Yan, Li, Yannoukakos, Drakoulis, Zheng, Wei, Ziogas, Argyrios, Lawrenson, Kate, deFazio, Anna, Ramus, Susan J., Pearce, Celeste L., Monteiro, Alvaro N., Cunningham, Julie M., Goode, Ellen L., Schildkraut, Joellen M., Berchuck, Andrew, Gayther, Simon A., Pharoah, Paul D. P., Claes, Kathleen B. M., Thomassen, Mads, Thull, Darcy L., Tischkowitz, Marc, Toland, Amanda E., Torres, Diana, Tung, Nadine, van Rensburg, Elizabeth J., Vega, Ana, Wappenschmidt, Barbara, Weitzel, Jeffrey N., Zavaglia, Katia M., Zorn, Kristin K., Sellers, Thomas A., Antoniou, Antonis C., Kleibl, Zdenek, Easton, Douglas, DeFazio, Anna, Cunningham, Julie, GEMO Study Collaborators, [missing], GC-HBOC Study Collaborators, [missing], EMBRACE Collaborators, [missing], OPAL Study Group, [missing], AOCS Group, [missing], KConFab Investigators, [missing], HEBON Investigators, [missing], The OCAC Consortium, [missing], The CIMBA Consortium, [missing], Clinicum, Department of Pathology, HUSLAB, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, Faculteit Medische Wetenschappen/UMCG, Institut Català de la Salut, [Dareng EO, Barnes DR, Yang X] University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK. [Tyrer JP] University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK. [Jones MR] Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA. [Aben KKH] Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands. Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands. [Balmaña J] Hereditary cancer Genetics Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. Servei d’Oncologia Mèdica, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Diez O] Oncogenetics Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. Àrea de Genètica Clínica i Molecular, Vall d’Hebron Hospital Universitari, Barcelona, Spain, Vall d'Hebron Barcelona Hospital Campus, Ovarian Cancer Action, and National Institute for Health Research

Subjects
Male, Biochemistry & Molecular Biology, OCAC Consortium, Genetic Phenomena::Genotype::Genetic Predisposition to Disease [PHENOMENA AND PROCESSES], Breast Neoplasms, Ovaris - Càncer - Aspectes genètics, Carcinoma, Ovarian Epithelial, SUSCEPTIBILITY, Polymorphism, Single Nucleotide, GEMO Study Collaborators, Risk Factors, OPAL Study Group, Other subheadings::Other subheadings::/genetics [Other subheadings], Medicine and Health Sciences, Genetics, Ovaris - Càncer - Propensió, Humans, Genetic Predisposition to Disease, Prospective Studies, EMBRACE Collaborators, GC-HBOC Study Collaborators, Genetics (clinical), HEBON Investigators, fenómenos genéticos::genotipo::predisposición genética a la enfermedad [FENÓMENOS Y PROCESOS], Medicinsk genetik, Ovarian Neoplasms, Genetics & Heredity, 0604 Genetics, Science & Technology, Otros calificadores::Otros calificadores::/genética [Otros calificadores], 1184 Genetics, developmental biology, physiology, Neoplasms::Neoplasms::Neoplasms by Site::Endocrine Gland Neoplasms::Ovarian Neoplasms::Carcinoma, Ovarian Epithelial [DISEASES], 1103 Clinical Sciences, Bayes Theorem, AOCS Group, neoplasias::neoplasias::neoplasias por localización::neoplasias de las glándulas endocrinas::neoplasias ováricas::carcinoma epitelial de ovario [ENFERMEDADES], Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], Carcinoma, Ovarian Epithelial/genetics, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], CIMBA Consortium, 1182 Biochemistry, cell and molecular biology, Female, KConFab Investigators, Ovarian Neoplasms/epidemiology, Medical Genetics, Life Sciences & Biomedicine
Abstract

Clinical genetics; Genetic markers; Risk factors Genética clínica; Marcadores genéticos; Factores de riesgo Genètica clínica; Marcadors genètics; Factors de risc 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 ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. 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 ancestries; 1.14 (95% CI: 1.08–1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21–1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29–1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35–1.64, 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

2. A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Author

Lu, Yingchang, Beeghly-Fadiel, Alicia, Wu, Lang, Guo, Xingyi, Li, Bingshan, Schildkraut, Joellen M, Im, Hae Kyung, Chen, Yian A, Permuth, Jennifer B, Reid, Brett M, Teer, Jamie K, Moysich, Kirsten B, Andrulis, Irene L, Anton-Culver, Hoda, Arun, Banu K, Bandera, Elisa V, Barkardottir, Rosa B, Barnes, Daniel R, Benitez, Javier, Bjorge, Line, Brenton, James, Butzow, Ralf, Caldes, Trinidad, Caligo, Maria A, Campbell, Ian, Chang-Claude, Jenny, Claes, Kathleen BM, Couch, Fergus J, Cramer, Daniel W, Daly, Mary B, deFazio, Anna, Dennis, Joe, Diez, Orland, Domchek, Susan M, Dörk, Thilo, Easton, Douglas F, Eccles, Diana M, Fasching, Peter A, Fortner, Renée T, Fountzilas, George, Friedman, Eitan, Ganz, Patricia A, Garber, Judy, Giles, Graham G, Godwin, Andrew K, Goldgar, David E, Goodman, Marc T, Greene, Mark H, Gronwald, Jacek, Hamann, Ute, Heitz, Florian, Hildebrandt, Michelle AT, Høgdall, Claus K, Hollestelle, Antoinette, Hulick, Peter J, Huntsman, David G, Imyanitov, Evgeny N, Isaacs, Claudine, Jakubowska, Anna, James, Paul, Karlan, Beth Y, Kelemen, Linda E, Kiemeney, Lambertus A, Kjaer, Susanne K, Kwong, Ava, Le, Nhu D, Leslie, Goska, Lesueur, Fabienne, Levine, Douglas A, Mattiello, Amalia, May, Taymaa, McGuffog, Lesley, McNeish, Iain A, Merritt, Melissa A, Modugno, Francesmary, Montagna, Marco, Neuhausen, Susan L, Nevanlinna, Heli, Nielsen, Finn C, Nikitina-Zake, Liene, Nussbaum, Robert L, Offit, Kenneth, Olah, Edith, Olopade, Olufunmilayo I, Olson, Sara H, Olsson, Håkan, Osorio, Ana, Park, Sue K, Parsons, Michael T, Peeters, Petra HM, Pejovic, Tanja, Peterlongo, Paolo, Phelan, Catherine M, Pujana, Miquel Angel, Ramus, Susan J, Rennert, Gad, Risch, Harvey, Rodriguez, Gustavo C, Rodríguez-Antona, Cristina, and Romieu, Isabelle

Subjects
endocrine system diseases, Genotype, Carcinogenesis, Quantitative Trait Loci, Oncology and Carcinogenesis, Cohort Studies, Rare Diseases, Risk Factors, Ovarian Epithelial, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Oncology & Carcinogenesis, Polymorphism, Aetiology, Cancer, Ovarian Neoplasms, Gene Expression Profiling, Prevention, Carcinoma, Human Genome, Single Nucleotide, Prognosis, female genital diseases and pregnancy complications, Ovarian Cancer, Female, Transcriptome, Genome-Wide Association Study
Abstract

Large-scale genome-wide association studies (GWAS) have identified approximately 35 loci associated with epithelial ovarian cancer (EOC) risk. The majority of GWAS-identified disease susceptibility variants are located in noncoding regions, and causal genes underlying these associations remain largely unknown. Here, we performed a transcriptome-wide association study to search for novel genetic loci and plausible causal genes at known GWAS loci. We used RNA sequencing data (68 normal ovarian tissue samples from 68 individuals and 6,124 cross-tissue samples from 369 individuals) and high-density genotyping data from European descendants of the Genotype-Tissue Expression (GTEx V6) project to build ovarian and cross-tissue models of genetically regulated expression using elastic net methods. We evaluated 17,121 genes for their cis-predicted gene expression in relation to EOC risk using summary statistics data from GWAS of 97,898 women, including 29,396 EOC cases. With a Bonferroni-corrected significance level of P < 2.2 × 10-6, we identified 35 genes, including FZD4 at 11q14.2 (Z = 5.08, P = 3.83 × 10-7, the cross-tissue model; 1 Mb away from any GWAS-identified EOC risk variant), a potential novel locus for EOC risk. All other 34 significantly associated genes were located within 1 Mb of known GWAS-identified loci, including 23 genes at 6 loci not previously linked to EOC risk. Upon conditioning on nearby known EOC GWAS-identified variants, the associations for 31 genes disappeared and three genes remained (P < 1.47 × 10-3). These data identify one novel locus (FZD4) and 34 genes at 13 known EOC risk loci associated with EOC risk, providing new insights into EOC carcinogenesis.Significance: Transcriptomic analysis of a large cohort confirms earlier GWAS loci and reveals FZD4 as a novel locus associated with EOC risk. Cancer Res; 78(18); 5419-30. ©2018 AACR.

Published
2018

3. Quantifying the Genetic Correlation between Multiple Cancer Types

Author

Lindström, Sara, Finucane, Hilary, Bulik-Sullivan, Brendan, Schumacher, Fredrick R, Amos, Christopher I, Hung, Rayjean J, Rand, Kristin, Gruber, Stephen B, Conti, David, Permuth, Jennifer B, Lin, Hui-Yi, Goode, Ellen L, Sellers, Thomas A, Amundadottir, Laufey T, Stolzenberg-Solomon, Rachael, Klein, Alison, Petersen, Gloria, Risch, Harvey, Wolpin, Brian, Hsu, Li, Huyghe, Jeroen R, Chang-Claude, Jenny, Chan, Andrew, Berndt, Sonja, Eeles, Rosalind, Easton, Douglas, Haiman, Christopher A, Hunter, David J, Neale, Benjamin, Price, Alkes L, Kraft, Peter, PanScan, GECCO, Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
Male, Risk Factors, Neoplasms, Genetic Variation, Humans, Female, Genetic Predisposition to Disease, Genome-Wide Association Study
Abstract

Background: Many cancers share specific genetic risk factors, including both rare high-penetrance mutations and common SNPs identified through genome-wide association studies (GWAS). However, little is known about the overall shared heritability across cancers. Quantifying the extent to which two distinct cancers share genetic origin will give insights to shared biological mechanisms underlying cancer and inform design for future genetic association studies.Methods: In this study, we estimated the pair-wise genetic correlation between six cancer types (breast, colorectal, lung, ovarian, pancreatic, and prostate) using cancer-specific GWAS summary statistics data based on 66,958 case and 70,665 control subjects of European ancestry. We also estimated genetic correlations between cancers and 14 noncancer diseases and traits.Results: After adjusting for 15 pair-wise genetic correlation tests between cancers, we found significant (P < 0.003) genetic correlations between pancreatic and colorectal cancer (rg = 0.55, P = 0.003), lung and colorectal cancer (rg = 0.31, P = 0.001). We also found suggestive genetic correlations between lung and breast cancer (rg = 0.27, P = 0.009), and colorectal and breast cancer (rg = 0.22, P = 0.01). In contrast, we found no evidence that prostate cancer shared an appreciable proportion of heritability with other cancers. After adjusting for 84 tests studying genetic correlations between cancer types and other traits (Bonferroni-corrected P value: 0.0006), only the genetic correlation between lung cancer and smoking remained significant (rg = 0.41, P = 1.03 × 10-6). We also observed nominally significant genetic correlations between body mass index and all cancers except ovarian cancer.Conclusions: Our results highlight novel genetic correlations and lend support to previous observational studies that have observed links between cancers and risk factors.Impact: This study demonstrates modest genetic correlations between cancers; in particular, breast, colorectal, and lung cancer share some degree of genetic basis. Cancer Epidemiol Biomarkers Prev; 26(9); 1427-35. ©2017 AACR.

Published
2017

4. 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

Kar, Siddhartha P, Beesley, Jonathan, Amin Al Olama, Ali, Michailidou, Kyriaki, Tyrer, Jonathan, Kote-Jarai, ZSofia, Lawrenson, Kate, Lindstrom, Sara, Ramus, Susan J, Thompson, Deborah J, ABCTB Investigators, Kibel, Adam S, Dansonka-Mieszkowska, Agnieszka, Michael, Agnieszka, Dieffenbach, Aida K, Gentry-Maharaj, Aleksandra, Whittemore, Alice S, Wolk, Alicja, Monteiro, Alvaro, Peixoto, Ana, Kierzek, Andrzej, Cox, Angela, Rudolph, Anja, Gonzalez-Neira, Anna, Wu, Anna H, Lindblom, Annika, Swerdlow, Anthony, AOCS Study Group & Australian Cancer Study (Ovarian Cancer), APCB BioResource, Ziogas, Argyrios, Ekici, Arif B, Burwinkel, Barbara, Karlan, Beth Y, Nordestgaard, Børge G, Blomqvist, Carl, Phelan, Catherine, McLean, Catriona, Pearce, Celeste Leigh, Vachon, Celine, Cybulski, Cezary, Slavov, Chavdar, Stegmaier, Christa, Maier, Christiane, Ambrosone, Christine B, Høgdall, Claus K, Teerlink, Craig C, Kang, Daehee, Tessier, Daniel C, Schaid, Daniel J, Stram, Daniel O, Cramer, Daniel W, Neal, David E, Eccles, Diana, Flesch-Janys, Dieter, Edwards, Digna R Velez, Wokozorczyk, Dominika, Levine, Douglas A, Yannoukakos, Drakoulis, Sawyer, Elinor J, Bandera, Elisa V, Poole, Elizabeth M, Goode, Ellen L, Khusnutdinova, Elza, Høgdall, Estrid, Song, Fengju, Bruinsma, Fiona, Heitz, Florian, Modugno, Francesmary, Hamdy, Freddie C, Wiklund, Fredrik, Giles, Graham G, Olsson, Håkan, Wildiers, Hans, Ulmer, Hans-Ulrich, Pandha, Hardev, Risch, Harvey A, Darabi, Hatef, Salvesen, Helga B, Nevanlinna, Heli, Gronberg, Henrik, Brenner, Hermann, Brauch, Hiltrud, Anton-Culver, Hoda, Song, Honglin, Lim, Hui-Yi, McNeish, Iain, Campbell, Ian, Vergote, Ignace, Gronwald, Jacek, Lubiński, Jan, Stanford, Janet L, Benítez, Javier, Doherty, Jennifer A, Permuth, Jennifer B, Chang-Claude, Jenny, Donovan, Jenny L, Dennis, Joe, Schildkraut, Joellen M, Schleutker, Johanna, and Hopper, John L

Subjects
AOCS Study Group & Australian Cancer Study, Male, Urologic Diseases, Aging, Enhancer Elements, Quantitative Trait Loci, Oncology and Carcinogenesis, ABCTB Investigators, Datasets as Topic, Breast Neoplasms, NBCS Investigators, APCB BioResource, PRACTICAL consortium, Rare Diseases, Meta-Analysis as Topic, Genetic, Breast Cancer, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Gene Regulatory Networks, Aetiology, Polymorphism, Cancer, Ovarian Neoplasms, Prostate Cancer, Human Genome, Prostatic Neoplasms, Chromosome Mapping, Single Nucleotide, Ovarian Cancer, Organ Specificity, Genetic Loci, Case-Control Studies, kConFab Investigators, Female, GENICA Network, Signal Transduction, Genome-Wide Association Study
Abstract

UnlabelledBreast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10(-8) seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10(-5) in the three-cancer meta-analysis.SignificanceWe demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052-67. ©2016 AACR.This article is highlighted in the In This Issue feature, p. 932.

Published
2016

5. Exome genotyping arrays to identify rare and low frequency variants associated with epithelial ovarian cancer risk

Author

Permuth, Jennifer B, Pirie, Ailith, Ann Chen, Y, Lin, Hui-Yi, Reid, Brett M, Chen, Zhihua, Monteiro, Alvaro, Dennis, Joe, Mendoza-Fandino, Gustavo, AOCS Study Group, Australian Cancer Study (Ovarian Cancer), Anton-Culver, Hoda, Bandera, Elisa V, Bisogna, Maria, Brinton, Louise, Brooks-Wilson, Angela, Carney, Michael E, Chenevix-Trench, Georgia, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, D'Aloisio, Aimee A, Anne Doherty, Jennifer, Earp, Madalene, Edwards, Robert P, Fridley, Brooke L, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Goodman, Marc T, Gronwald, Jacek, Hogdall, Estrid, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Karlan, Beth Y, Kelemen, Linda E, Kjaer, Suzanne K, Kraft, Peter, Le, Nhu D, Levine, Douglas A, Lissowska, Jolanta, Lubinski, Jan, Matsuo, Keitaro, Menon, Usha, Modugno, Rosemary, Moysich, Kirsten B, Nakanishi, Toru, Ness, Roberta B, Olson, Sara, Orlow, Irene, Pearce, Celeste L, Pejovic, Tanja, Poole, Elizabeth M, Ramus, Susan J, Anne Rossing, Mary, Sandler, Dale P, Shu, Xiao-Ou, Song, Honglin, Taylor, Jack A, Teo, Soo-Hwang, Terry, Kathryn L, Thompson, Pamela J, Tworoger, Shelley S, Webb, Penelope M, Wentzensen, Nicolas, Wilkens, Lynne R, Winham, Stacey, Woo, Yin-Ling, Wu, Anna H, Yang, Hannah, Zheng, Wei, Ziogas, Argyrios, Phelan, Catherine M, Schildkraut, Joellen M, Berchuck, Andrew, Goode, Ellen L, Pharoah, Paul DP, Sellers, Thomas A, and Ovarian Cancer Association Consortium

Subjects
Genotype, Ovarian Cancer Association Consortium, Medical and Health Sciences, Rare Diseases, Australian Cancer Study, Neoplasms, Ovarian Epithelial, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Exome, Aetiology, Polymorphism, Cancer, Ovarian Neoplasms, Genetics & Heredity, Biotinidase, Prevention, Keratin-13, Carcinoma, Human Genome, Glandular and Epithelial, AOCS Study Group, Single Nucleotide, Biological Sciences, Actins, Neoplasm Proteins, Ovarian Cancer, Melanocortin, Female, Type 2, Receptor, Genome-Wide Association Study
Abstract

Rare and low frequency variants are not well covered in most germline genotyping arrays and are understudied in relation to epithelial ovarian cancer (EOC) risk. To address this gap, we used genotyping arrays targeting rarer protein-coding variation in 8,165 EOC cases and 11,619 controls from the international Ovarian Cancer Association Consortium (OCAC). Pooled association analyses were conducted at the variant and gene level for 98,543 variants directly genotyped through two exome genotyping projects. Only common variants that represent or are in strong linkage disequilibrium (LD) with previously-identified signals at established loci reached traditional thresholds for exome-wide significance (P P≥5.0 ×10 - 7) were detected for rare and low-frequency variants at 16 novel loci. Four rare missense variants were identified (ACTBL2 rs73757391 (5q11.2), BTD rs200337373 (3p25.1), KRT13 rs150321809 (17q21.2) and MC2R rs104894658 (18p11.21)), but only MC2R rs104894668 had a large effect size (OR = 9.66). Genes most strongly associated with EOC risk included ACTBL2 (PAML = 3.23 × 10 - 5; PSKAT-o = 9.23 × 10 - 4) and KRT13 (PAML = 1.67 × 10 - 4; PSKAT-o = 1.07 × 10 - 5), reaffirming variant-level analysis. In summary, this large study identified several rare and low-frequency variants and genes that may contribute to EOC susceptibility, albeit with possible small effects. Future studies that integrate epidemiology, sequencing, and functional assays are needed to further unravel the unexplained heritability and biology of this disease.

Published
2016

6. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer

Author

Kar, Siddhartha P, Considine, Daniel PC, Tyrer, Jonathan P, Plummer, Jasmine T, Chen, Stephanie, Dezem, Felipe S, Barbeira, Alvaro N, Rajagopal, Padma S, Rosenow, Will T, Moreno, Fernando, Bodelon, Clara, Chang-Claude, Jenny, Chenevix-Trench, Georgia, DeFazio, Anna, Dörk, Thilo, Ekici, Arif B, Ewing, Ailith, Fountzilas, George, Goode, Ellen L, Hartman, Mikael, Heitz, Florian, Hillemanns, Peter, Høgdall, Estrid, Høgdall, Claus K, Huzarski, Tomasz, Jensen, Allan, Karlan, Beth Y, Khusnutdinova, Elza, Kiemeney, Lambertus A, Kjaer, Susanne K, Klapdor, Rüdiger, Köbel, Martin, Li, Jingmei, Liebrich, Clemens, May, Taymaa, Olsson, Håkan, Permuth, Jennifer B, Peterlongo, Paolo, Radice, Paolo, Ramus, Susan J, Riggan, Marjorie J, Risch, Harvey A, Saloustros, Emmanouil, Simard, Jacques, Szafron, Lukasz M, Titus, Linda, Thompson, Cheryl L, Vierkant, Robert A, Winham, Stacey J, Zheng, Wei, Doherty, Jennifer A, Berchuck, Andrew, Lawrenson, Kate, Im, Hae Kyung, Manichaikul, Ani W, Pharoah, Paul DP, Gayther, Simon A, and Schildkraut, Joellen M

Subjects
2 Aetiology, Prevention, Human Genome, 3105 Genetics, 3. Good health, Ovarian Cancer, Rare Diseases, FOS: Biological sciences, Breast Cancer, Genetics, 2.1 Biological and endogenous factors, 31 Biological Sciences, Cancer, Biotechnology
Abstract

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.

7. Polygenic Risk Modelling for Prediction of Epithelial Ovarian Cancer Risk

Author

Dareng, Eileen O, Tyrer, Jonathan, Barnes, Daniel, Jones, Michelle R, Yang, Xin, Aben, Katja KH, Adank, Muriel A, Agata, Simona, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Aravantinos, Gerasimos, Arun, Banu K, Augustinsson, Annelie, Balma��a, Judith, Bandera, Elisa V, Barkardottir, Rosa B, Barrowdale, Daniel, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q, Bjorge, Line, Black, Amanda, Bogdanova, Natalia V, Bonanni, Bernardo, Borg, Ake, Brenton, James, Budzilowska, Agnieszka, Butzow, Ralf, Buys, Saundra S, Cai, Hui, Caligo, Maria A, Campbell, Ian, Cannioto, Rikki, Cassingham, Hayley, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Kexin, Chiew, Yoke-Eng, Chung, Wendy K, Claes, Kathleen BM, Colanna, Sarah, Cook, Linda S, Couch, Fergus J, Daly, Mary B, Dao, Fanny, Davies, Eleanor, De La Hoya, Miguel, Putter, Robin De, Dennis, Joe, DePersia, Allison, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer A, Domchek, Susan M, D��rk, Thilo, Bois, Andreas Du, D��rst, Matthias, Eccles, Diana M, Eliassen, Heather A, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Flanagan, James M, Foretova, Lenka, Fortner, Ren��e T, Friedman, Eitan, Ganz, Patricia A, Garber, Judy, Gensini, Francesca, Giles, Graham G, Glendon, Gord, Godwin, Andrew K, Goodman, Marc T, Greene, Mark H, Gronwald, Jacek, Hahnen, Eric, Haiman, Christopher A, H��kansson, Niclas, Hamann, Ute, Hansen, Thomas VO, Harris, Holly R, Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle AT, H��gdall, Estrid, H��gdall, Claus K, Hopper, John L, Huang, Ruea-Yea, Huff, Chad, Hulick, Peter J, Huntsman, David G, Imyanitov, Evgeny N, Isaacs, Claudine, Jakubowska, Anna, James, Paul A, Janavicius, Ramunas, Jensen, Allan, Johannsson, Oskar Th, John, Esther M, Jones, Michael E, Kang, Daehee, Karlan, Beth Y, Karnezis, Anthony, Kelemen, Linda E, Khusnutdinova, Elza, Kiemeney, Lambertus A, Kim, Byoung-Gie, Kjaer, Susanne K, Komenaka, Ian, Kupryjanczyk, Jolanta, Kurian, Allison W, Kwong, Ava, Lambrechts, Diether, Larson, Melissa C, Lazaro, Conxi, Le, Nhu D, Leslie, Goska, Lester, Jenny, Lesueur, Fabienne, Levine, Douglas A, Li, Lian, Li, Jingmei, Loud, Jennifer T, Lu, Karen H, Lubi��ski, Jan, Machackova, Eva, Mai, Phuong L, Manoukian, Siranoush, Marks, Jeffrey R, Matsuno, Rayna Kim, Matsuo, Keitaro, May, Taymaa, McGuffog, Lesley, McLaughlin, John R, McNeish, Iain A, Mebirouk, Noura, Menon, Usha, Miller, Austin, Milne, Roger L, Minlikeeva, Albina, Modugno, Francesmary, Montagna, Marco, Moysich, Kirsten B, Munro, Elizabeth, Nathanson, Katherine L, Neuhausen, Susan L, Nevanlinna, Heli, Yie, Joanne Ngeow Yuen, Nielsen, Henriette Roed, Nielsen, Finn C, Nikitina-Zake, Liene, Odunsi, Kunle, Offit, Kenneth, Olah, Edith, Olbrecht, Siel, Olopade, Olufunmilayo I, Olson, Sara H, Olsson, H��kan, Osorio, Ana, Papi, Laura, Park, Sue K, Parsons, Michael T, Pathak, Harsha, Pedersen, Inge Sokilde, Peixoto, Ana, Pejovic, Tanja, Perez-Segura, Pedro, Permuth, Jennifer B, Peshkin, Beth, Peterlongo, Paolo, Piskorz, Anna, Prokofyeva, Darya, Radice, Paolo, Rantala, Johanna, Riggan, Marjorie J, Risch, Harvey A, Rodriguez-Antona, Cristina, Ross, Eric, Rossing, Mary Anne, Runnebaum, Ingo, Sandler, Dale P, Santamari��a, Marta, Soucy, Penny, Schmutzler, Rita K, Setiawan, V Wendy, Shan, Kang, Sieh, Weiva, Simard, Jacques, Singer, Christian F, Sokolenko, Anna P, Song, Honglin, Southey, Melissa C, Steed, Helen, Stoppa-Lyonnet, Dominique, Sutphen, Rebecca, Swerdlow, Anthony J, Tan, Yen Yen, Teixeira, Manuel R, Teo, Soo Hwang, Terry, Kathryn L, Terry, Mary Beth, Thomassen, Mads, Thompson, Pamela J, Vestrheim Thomsen, Liv Cecilie, Thull, Darcy L, Tischkowitz, Marc, Titus, Linda, Toland, Amanda E, Torres, Diana, Trabert, Britton, Travis, Ruth, Tung, Nadine, Tworoger, Shelley S, Valen, Ellen, Van Altena, Anne M, Van Der Hout, Annemieke H, Van Nieuwenhuysen, Els, Van Rensburg, Elizabeth J, Vega, Ana, Edwards, Digna Velez, Vierkant, Robert A, Wang, Frances, Wappenschmidt, Barbara, Webb, Penelope M, Weinberg, Clarice R, Weitzel, Jeffrey N, Wentzensen, Nicolas, White, Emily, Whittemore, Alice S, Winham, Stacey J, Wolk, Alicja, Woo, Yin-Ling, Wu, Anna H, Yan, Li, Yannoukakos, Drakoulis, Zavaglia, Katia M, Zheng, Wei, Ziogas, Argyrios, Zorn, Kristin K, Easton, Douglas, Lawrenson, Kate, DeFazio, Anna, Sellers, Thomas A, Ramus, Susan J, Pearce, Celeste L, Monteiro, Alvaro N, Cunningham, Julie, Goode, Ellen L, Schildkraut, Joellen M, Berchuck, Andrew, Chenevix-Trench, Georgia, Gayther, Simon A, Antoniou, Antonis C, and Pharoah, Paul DP

Subjects
3. Good health
Abstract

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.

8. 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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