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6 results on '"OPAL Study Group"'

1. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci

Author

DeVries, Amber A, Dennis, Joe, Tyrer, Jonathan P, Peng, Pei-Chen, Coetzee, Simon G, Reyes, Alberto L, Plummer, Jasmine T, Davis, Brian D, Chen, Stephanie S, Dezem, Felipe Segato, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia N, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Berchuck, Andrew, Bogdanova, Natalia V, Bogdanova-Markov, Nadja, Brenton, James D, Butzow, Ralf, Campbell, Ian, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Cook, Linda S, DeFazio, Anna, Doherty, Jennifer A, Dörk, Thilo, Eccles, Diana M, Eliassen, A Heather, Fasching, Peter A, Fortner, Renée T, Giles, Graham G, Goode, Ellen L, Goodman, Marc T, Gronwald, Jacek, Webb, P, DeFazio, A, Friedlander, M, Obermair, A, Grant, P, Nagle, C, Beesley, V, Chevenix-Trench, G, Bowtell, D, Blomfield, P, Brand, A, Davis, A, Leung, Y, Nicklin, J, Quinn, M, Livingstone, K, O'Neill, H, Williams, M, Black, A, Hadley, A, Glasgow, A, Garrett, A, Rao, A, Shannon, C, Steer, C, Allen, D, Neesham, D, Otton, G, Au-Yeung, G, Goss, G, Wain, G, Gard, G, Robertson, G, Lombard, J, Tan, J, McNeilage, J, Power, J, Coward, J, Miller, J, Carter, J, Lamont, J, Wong, KM, Reid, K, Perrin, L, Milishkin, L, Nascimento, M, Buck, M, Bunting, M, Harrison, M, Chetty, N, Hacker, N, McNally, O, Harnett, P, Beale, P, Awad, R, Mohan, R, Farrell, R, McIntosh, R, Rome, R, Sayer, R, Houghton, R, Hogg, R, Land, R, Baron-Hay, S, and Paramasivum, S

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Ovarian Cancer, Human Genome, Prevention, Genetic Testing, Genetics, Cancer, Clinical Research, Women's Health, Rare Diseases, 2.1 Biological and endogenous factors, Female, Humans, Carcinoma, Ovarian Epithelial, Genome-Wide Association Study, Alleles, DNA Copy Number Variations, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Ovarian Neoplasms, OPAL Study Group, AOCS Group, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundKnown risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort.MethodsSingle nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer-related cell types.ResultsWe identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 (PEOC = 1.60E-21; OREOC = 8.24), RAD51C (Phigh-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 (PHGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations (P

Published
2022

2. 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 KH, 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 BM, Colonna, Sarah, Cook, Linda S, Couch, Fergus J, Daly, Mary B, Dao, Fanny, Davies, Eleanor, 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, Eccles, Diana M, Eliassen, Heather A, Engel, Christoph, 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 VO, Harris, Holly R, Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle AT, Høgdall, Estrid, Høgdall, 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, and Janavicius, Ramunas

Subjects
Prevention, Cancer, Ovarian Cancer, Rare Diseases, Good Health and Well Being, Bayes Theorem, Breast Neoplasms, Carcinoma, Ovarian Epithelial, Female, Genetic Predisposition to Disease, Humans, Male, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, GEMO Study Collaborators, GC-HBOC Study Collaborators, EMBRACE Collaborators, OPAL Study Group, AOCS Group, KConFab Investigators, HEBON Investigators, OCAC Consortium, CIMBA Consortium, Genetics, Clinical Sciences, Genetics & Heredity
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 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

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

Author

Quinn, Michael CJ, McCue, Karen, Shi, Wei, Johnatty, Sharon E, Beesley, Jonathan, Civitarese, Andrew, O'Mara, Tracy A, Glubb, Dylan M, Tyrer, Jonathan P, Armasu, Sebastian M, Ong, Jue-Sheng, Gharahkhani, Puya, Lu, Yi, Gao, Bo, Patch, Ann-Marie, Fasching, Peter A, Beckmann, Matthias W, Lambrechts, Diether, Vergote, Ignace, Edwards, Digna R Velez, Beeghly-Fadiel, Alicia, Benitez, Javier, Garcia, Maria J, Goodman, Marc T, Dörk, Thilo, Dürst, Matthias, Modugno, Francesmary, Moysich, Kirsten, du Bois, Andreas, Pfisterer, Jacobus, Bauman, Klaus, Group, for the AGO Study, Karlan, Beth Y, Lester, Jenny, Cunningham, Julie M, Larson, Melissa C, McCauley, Bryan M, Kjaer, Susanne K, Jensen, Allan, Hogdall, Claus K, Hogdall, Estrid, Schildkraut, Joellen M, Riggan, Marjorie J, Berchuck, Andrew, Cramer, Daniel W, Terry, Kathryn L, Bjorge, Line, Webb, Penelope M, Group, for the OPAL Study, Friedlander, Michael, Pejovic, Tanja, Moffitt, Melissa, Glasspool, Rosalind, May, Taymaa, Ene, Gabrielle EV, Huntsman, David G, Woo, Michelle, Carney, Michael E, Hinsley, Samantha, Heitz, Florian, Fereday, Sian, Kennedy, Catherine J, Edwards, Stacey L, Winham, Stacey J, deFazio, Anna, Group, for Australian Ovarian Cancer Study, Pharoah, Paul DP, Goode, Ellen L, MacGregor, Stuart, and Chenevix-Trench, Georgia

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Ovarian Cancer, Rare Diseases, Cancer, Women's Health, Human Genome, 2.1 Biological and endogenous factors, Autophagy-Related Protein-1 Homolog, Biomarkers, Tumor, Carcinoma, Ovarian Epithelial, Female, Gene Knockout Techniques, Genome-Wide Association Study, Humans, Intracellular Signaling Peptides and Proteins, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Progression-Free Survival, AGO Study Group, OPAL Study Group, for Australian Ovarian Cancer Study Group, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundMany 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.MethodsWe 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.ResultsWe 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.ConclusionsThe 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.ImpactThis 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

4. Cross-Cancer Genome-Wide Association Study of Endometrial Cancer and Epithelial Ovarian Cancer Identifies Genetic Risk Regions Associated with Risk of Both Cancers

Author

Glubb, Dylan M, Thompson, Deborah J, Aben, Katja KH, Alsulimani, Ahmad, Amant, Frederic, Annibali, Daniela, Attia, John, Barricarte, Aurelio, Beckmann, Matthias W, Berchuck, Andrew, Bermisheva, Marina, Bernardini, Marcus Q, Bischof, Katharina, Bjorge, Line, Bodelon, Clara, Brand, Alison H, Brenton, James D, Brinton, Louise A, Bruinsma, Fiona, Buchanan, Daniel D, Burghaus, Stefanie, Butzow, Ralf, Cai, Hui, Carney, Michael E, Chanock, Stephen J, Chen, Chu, Chen, Xiao Qing, Chen, Zhihua, Cook, Linda S, Cunningham, Julie M, De Vivo, Immaculata, deFazio, Anna, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dunning, Alison M, Dürst, Matthias, Edwards, Todd, Edwards, Robert P, Ekici, Arif B, Ewing, Ailith, Fasching, Peter A, Ferguson, Sarah, Flanagan, James M, Fostira, Florentia, Fountzilas, George, Friedenreich, Christine M, Gao, Bo, Gaudet, Mia M, Gawełko, Jan, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harris, Holly R, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Høgdall, Estrid, Høgdall, Claus K, Holliday, Elizabeth G, Huntsman, David G, Huzarski, Tomasz, Jakubowska, Anna, Jensen, Allan, Jones, Michael E, Karlan, Beth Y, Karnezis, Anthony, Kelley, Joseph L, Khusnutdinova, Elza, Killeen, Jeffrey L, Kjaer, Susanne K, Klapdor, Rüdiger, Köbel, Martin, Konopka, Bozena, Konstantopoulou, Irene, Kopperud, Reidun K, Koti, Madhuri, Kraft, Peter, Kupryjanczyk, Jolanta, Lambrechts, Diether, Larson, Melissa C, Le Marchand, Loic, Lele, Shashikant, Lester, Jenny, Li, Andrew J, Liang, Dong, Liebrich, Clemens, Lipworth, Loren, Lissowska, Jolanta, Lu, Lingeng, Lu, Karen H, Macciotta, Alessandra, Mattiello, Amalia, May, Taymaa, McAlpine, Jessica N, and McGuire, Valerie

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Human Genome, Uterine Cancer, Genetics, Biotechnology, Ovarian Cancer, Prevention, Cancer, Rare Diseases, 2.1 Biological and endogenous factors, Aetiology, Carcinoma, Ovarian Epithelial, Endometrial Neoplasms, Female, Genome-Wide Association Study, Humans, Ovarian Neoplasms, Quantitative Trait Loci, Risk Factors, OPAL Study Group, AOCS Group, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundAccumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers.MethodsUsing LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data.ResultsGenetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10-5). We found seven loci associated with risk for both cancers (P Bonferroni < 2.4 × 10-9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 × 10-7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation.ConclusionsUsing cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis.ImpactOur research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.

Published
2021

5. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.

Author

Phelan, Catherine M, Kuchenbaecker, Karoline B, Tyrer, Jonathan P, Kar, Siddhartha P, Lawrenson, Kate, Winham, Stacey J, Dennis, Joe, Pirie, Ailith, Riggan, Marjorie J, Chornokur, Ganna, Earp, Madalene A, Lyra, Paulo C, Lee, Janet M, Coetzee, Simon, Beesley, Jonathan, McGuffog, Lesley, Soucy, Penny, Dicks, Ed, Lee, Andrew, Barrowdale, Daniel, Lecarpentier, Julie, Leslie, Goska, Aalfs, Cora M, Aben, Katja KH, Adams, Marcia, Adlard, Julian, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia, AOCS study group, Aravantinos, Gerasimos, Arnold, Norbert, Arun, Banu K, Arver, Brita, Azzollini, Jacopo, Balmaña, Judith, Banerjee, Susana N, Barjhoux, Laure, Barkardottir, Rosa B, Bean, Yukie, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q, Birrer, Michael J, Bjorge, Line, Black, Amanda, Blankstein, Kenneth, Blok, Marinus J, Bodelon, Clara, Bogdanova, Natalia, Bojesen, Anders, Bonanni, Bernardo, Borg, Åke, Bradbury, Angela R, Brenton, James D, Brewer, Carole, Brinton, Louise, Broberg, Per, Brooks-Wilson, Angela, Bruinsma, Fiona, Brunet, Joan, Buecher, Bruno, Butzow, Ralf, Buys, Saundra S, Caldes, Trinidad, Caligo, Maria A, Campbell, Ian, Cannioto, Rikki, Carney, Michael E, Cescon, Terence, Chan, Salina B, Chang-Claude, Jenny, Chanock, Stephen, Chen, Xiao Qing, Chiew, Yoke-Eng, Chiquette, Jocelyne, Chung, Wendy K, Claes, Kathleen BM, Conner, Thomas, Cook, Linda S, Cook, Jackie, Cramer, Daniel W, Cunningham, Julie M, D'Aloisio, Aimee A, Daly, Mary B, Damiola, Francesca, Damirovna, Sakaeva Dina, Dansonka-Mieszkowska, Agnieszka, Dao, Fanny, Davidson, Rosemarie, DeFazio, Anna, Delnatte, Capucine, Doheny, Kimberly F, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer Anne, Domchek, Susan M, and Dorfling, Cecilia M

Subjects
AOCS study group, EMBRACE Study, GEMO Study Collaborators, HEBON Study, KConFab Investigators, OPAL study group, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Genetic Predisposition to Disease, Telomere-Binding Proteins, BRCA1 Protein, BRCA2 Protein, Risk Factors, Genotype, Mutation, Polymorphism, Single Nucleotide, Alleles, Female, Meta-Analysis as Topic, Genome-Wide Association Study, Genetic Loci, Carcinoma, Ovarian Epithelial, Genetics, Cancer, Human Genome, Rare Diseases, Prevention, Ovarian Cancer, Aetiology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

Published
2017

6. 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
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