533 results on '"Dite, Gillian S."'
Search Results
2. Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic risk
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Allman, Richard, Mu, Yi, Dite, Gillian S., Spaeth, Erika, Hopper, John L., and Rosner, Bernard A.
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- 2023
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3. Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium
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Kapoor, Pooja Middha, Lindström, Sara, Behrens, Sabine, Wang, Xiaoliang, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Dunning, Alison M, Pharoah, Paul DP, Schmidt, Marjanka K, Kraft, Peter, García-Closas, Montserrat, Easton, Douglas F, Milne, Roger L, Chang-Claude, Jenny, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Freeman, Laura E Beane, Beckmann, Matthias W, Benitez, Javier, Bernstein, Leslie, Berrandou, Takiy, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brock, Ian W, Broeks, Annegien, Brooks-Wilson, Angela, Butterbach, Katja, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Clarke, Christine L, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Dite, Gillian S, Earp, H Shelton, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Grundy, Anne, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E, Harkness, Elaine F, Harstad, Tricia, He, Wei, Heyworth, Jane, Hoover, Robert N, Hopper, John L, Humphreys, Keith, Hunter, David J, Marrón, Pablo Isidro, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Krüger, Ute, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, and Makalic, Enes
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Genetics ,Estrogen ,Clinical Research ,Cancer ,Breast Cancer ,Prevention ,2.1 Biological and endogenous factors ,Aetiology ,Alleles ,Breast Neoplasms ,Case-Control Studies ,Europe ,Factor XIII ,Female ,Gene-Environment Interaction ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genotype ,Humans ,Polymorphism ,Single Nucleotide ,Receptors ,Estrogen ,Risk Factors ,White People ,Breast Cancer Association Consortium ,Europeans ,Gene-environment interaction ,breast cancer ,epidemiology ,risk factors ,single nucleotide polymorphism ,Statistics ,Public Health and Health Services ,Epidemiology - Abstract
BackgroundPrevious gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Using the largest available dataset to date, we performed a comprehensive assessment of potential effect modification of 205 common susceptibility variants by 13 established breast cancer risk factors, including replication of previously reported interactions.MethodsAnalyses were performed using 28 176 cases and 32 209 controls genotyped with iCOGS array and 44 109 cases and 48 145 controls genotyped using OncoArray from the Breast Cancer Association Consortium (BCAC). Gene-environment interactions were assessed using unconditional logistic regression and likelihood ratio tests for breast cancer risk overall and by estrogen-receptor (ER) status. Bayesian false discovery probability was used to assess the noteworthiness of the meta-analysed array-specific interactions.ResultsNoteworthy evidence of interaction at ≤1% prior probability was observed for three single nucleotide polymorphism (SNP)-risk factor pairs. SNP rs4442975 was associated with a greater reduction of risk of ER-positive breast cancer [odds ratio (OR)int = 0.85 (0.78-0.93), Pint = 2.8 x 10-4] and overall breast cancer [ORint = 0.85 (0.78-0.92), Pint = 7.4 x 10-5) in current users of estrogen-progesterone therapy compared with non-users. This finding was supported by replication using OncoArray data of the previously reported interaction between rs13387042 (r2 = 0.93 with rs4442975) and current estrogen-progesterone therapy for overall disease (Pint = 0.004). The two other interactions suggested stronger associations between SNP rs6596100 and ER-negative breast cancer with increasing parity and younger age at first birth.ConclusionsOverall, our study does not suggest strong effect modification of common breast cancer susceptibility variants by established risk factors.
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- 2020
4. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes.
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Fachal, Laura, Aschard, Hugues, Beesley, Jonathan, Barnes, Daniel R, Allen, Jamie, Kar, Siddhartha, Pooley, Karen A, Dennis, Joe, Michailidou, Kyriaki, Turman, Constance, Soucy, Penny, Lemaçon, Audrey, Lush, Michael, Tyrer, Jonathan P, Ghoussaini, Maya, Moradi Marjaneh, Mahdi, Jiang, Xia, Agata, Simona, Aittomäki, Kristiina, Alonso, M Rosario, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arason, Adalgeir, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Auber, Bernd, Auer, Paul L, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Barrowdale, Daniel, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Białkowska, Katarzyna, Blanco, Amie M, Blomqvist, Carl, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Borg, Ake, Bosse, Kristin, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Brock, Ian W, Brooks-Wilson, Angela, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Cai, Qiuyin, Caldés, Trinidad, Caligo, Maria A, Camp, Nicola J, Campbell, Ian, Canzian, Federico, Carroll, Jason S, Carter, Brian D, Castelao, Jose E, Chiquette, Jocelyne, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, GEMO Study Collaborators, EMBRACE Collaborators, Collée, J Margriet, Cornelissen, Sten, Couch, Fergus J, Cox, Angela, Cross, Simon S, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Dite, Gillian S, Domchek, Susan M, Dörk, Thilo, Dos-Santos-Silva, Isabel, Droit, Arnaud, Dubois, Stéphane, Dumont, Martine, Duran, Mercedes, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana M, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Floris, Giuseppe, and Flyger, Henrik
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GEMO Study Collaborators ,EMBRACE Collaborators ,KConFab Investigators ,HEBON Investigators ,ABCTB Investigators ,Humans ,Breast Neoplasms ,Genetic Predisposition to Disease ,Bayes Theorem ,Risk Factors ,Chromosome Mapping ,Regulatory Sequences ,Nucleic Acid ,Linkage Disequilibrium ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Female ,Genome-Wide Association Study ,Biomarkers ,Tumor ,Genetic Testing ,Prevention ,Genetics ,Cancer ,Breast Cancer ,Human Genome ,Biotechnology ,2.1 Biological and endogenous factors ,Developmental Biology ,Biological Sciences ,Medical and Health Sciences - Abstract
Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes.
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- 2020
5. Predicting 10-Year Risk of Pancreatic Cancer Using a Combined Genetic and Clinical Model
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Dite, Gillian S., Spaeth, Erika, Wong, Chi Kuen, Murphy, Nicholas M., and Allman, Richard
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- 2023
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6. Mammographic texture versus conventional Cumulus measure of density in breast cancer risk prediction: a literature review
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Ye, Zhoufeng, primary, Nguyen, Tuong L., additional, Dite, Gillian S., additional, Maclnnis, Robert J., additional, Hopper, John L., additional, and Li, Shuai, additional
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- 2024
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7. The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer
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Figlioli, Gisella, Bogliolo, Massimo, Catucci, Irene, Caleca, Laura, Lasheras, Sandra Viz, Pujol, Roser, Kiiski, Johanna I, Muranen, Taru A, Barnes, Daniel R, Dennis, Joe, Michailidou, Kyriaki, Bolla, Manjeet K, Leslie, Goska, Aalfs, Cora M, Adank, Muriel A, Adlard, Julian, Agata, Simona, Cadoo, Karen, Agnarsson, Bjarni A, Ahearn, Thomas, Aittomäki, Kristiina, Ambrosone, Christine B, Andrews, Lesley, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Arun, Banu K, Asseryanis, Ella, Auber, Bernd, Auvinen, Päivi, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Barrowdale, Daniel, Barwell, Julian, Beane Freeman, Laura E, Beauparlant, Charles Joly, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Berger, Raanan, Bermisheva, Marina, Blanco, Amie M, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Anders, Bojesen, Stig E, Bonanni, Bernardo, Borg, Ake, Brady, Angela F, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Caldés, Trinidad, Caliebe, Almuth, Caligo, Maria A, Campa, Daniele, Campbell, Ian G, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Claes, Kathleen BM, Clarke, Christine L, Collavoli, Anita, Conner, Thomas A, Cox, David G, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Dite, Gillian S, Ditsch, Nina, Domchek, Susan M, Dorfling, Cecilia M, dos-Santos-Silva, Isabel, Durda, Katarzyna, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Foulkes, William D, Friebel, Tara M, Friedman, Eitan, Gabrielson, Marike, Gaddam, Pragna, and Gago-Dominguez, Manuela
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Health Services and Systems ,Biomedical and Clinical Sciences ,Health Sciences ,Oncology and Carcinogenesis ,Clinical Research ,Genetics ,Breast Cancer ,Cancer ,Genetic Testing ,2.1 Biological and endogenous factors ,Aetiology ,ABCTB Investigators ,GEMO Study Collaborators ,KConFab ,Cancer genetics ,Clinical sciences ,Oncology and carcinogenesis ,Epidemiology - Abstract
Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes BRCA1, BRCA2, PALB2, ATM, and CHEK2 are associated with breast cancer risk. FANCM, which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM:p.Arg658*, p.Gln1701*, and p.Arg1931* for association with breast cancer risk in 67,112 cases, 53,766 controls, and 26,662 carriers of pathogenic variants of BRCA1 or BRCA2. These three variants were also studied functionally by measuring survival and chromosome fragility in FANCM -/- patient-derived immortalized fibroblasts treated with diepoxybutane or olaparib. We observed that FANCM:p.Arg658* was associated with increased risk of ER-negative disease and TNBC (OR = 2.44, P = 0.034 and OR = 3.79; P = 0.009, respectively). In a country-restricted analysis, we confirmed the associations detected for FANCM:p.Arg658* and found that also FANCM:p.Arg1931* was associated with ER-negative breast cancer risk (OR = 1.96; P = 0.006). The functional results indicated that all three variants were deleterious affecting cell survival and chromosome stability with FANCM:p.Arg658* causing more severe phenotypes. In conclusion, we confirmed that the two rare FANCM deleterious variants p.Arg658* and p.Arg1931* are risk factors for ER-negative and TNBC subtypes. Overall our data suggest that the effect of truncating variants on breast cancer risk may depend on their position in the gene. Cell sensitivity to olaparib exposure, identifies a possible therapeutic option to treat FANCM-associated tumors.
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- 2019
8. Segregation analysis of 17,425 population-based breast cancer families: Evidence for genetic susceptibility and risk prediction
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Li, Shuai, MacInnis, Robert J., Lee, Andrew, Nguyen-Dumont, Tu, Dorling, Leila, Carvalho, Sara, Dite, Gillian S., Shah, Mitul, Luccarini, Craig, Wang, Qin, Milne, Roger L., Jenkins, Mark A., Giles, Graham G., Dunning, Alison M., Pharoah, Paul D.P., Southey, Melissa C., Easton, Douglas F., Hopper, John L., and Antoniou, Antonis C.
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- 2022
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9. Early life affects late-life health through determining DNA methylation across the lifespan: A twin study
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Li, Shuai, Ye, Zhoufeng, Mather, Karen A., Nguyen, Tuong L., Dite, Gillian S., Armstrong, Nicola J., Wong, Ee Ming, Thalamuthu, Anbupalam, Giles, Graham G., Craig, Jeffrey M., Saffery, Richard, Southey, Melissa C., Tan, Qihua, Sachdev, Perminder S., and Hopper, John L.
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- 2022
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10. Mammographic Texture versus Conventional Cumulus Measure of Density in Breast Cancer Risk Prediction: A Literature Review.
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Zhoufeng Ye, Nguyen, Tuong L., Dite, Gillian S., MacInnis, Robert J., Hopper, John L., and Shuai Li
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Mammographic textures show promise as breast cancer risk predictors, distinct from mammographic density. Yet, there is a lack of comprehensive evidence to determine the relative strengths as risk predictor of textures and density and the reliability of texture-based measures. We searched the PubMed database for research published up to November 2023, which assessed breast cancer risk associations [odds ratios (OR)] with texture-based measures and percent mammographic density (PMD), and their discrimination [area under the receiver operating characteristics curve (AUC)], using same datasets. Of 11 publications, for textures, six found stronger associations (P < 0.05) with 11% to 508% increases on the log scale by study, and four found weaker associations (P < 0.05) with 14% to 100% decreases, compared with PMD. Risk associations remained significant when fitting textures and PMD together. Eleven of 17 publications found greater AUCs for textures than PMD (P < 0.05); increases were 0.04 to 0.25 by study. Discrimination from PMD and these textures jointly was significantly higher than from PMD alone (P < 0.05). Therefore, different textures could capture distinct breast cancer risk information, partially independent of mammographic density, suggesting their joint role in breast cancer risk prediction. Some textures could outperform mammographic density for predicting breast cancer risk. However, obtaining reliable texture-based measures necessitates addressing various issues. Collaboration of researchers from diverse fields could be beneficial for advancing this complex field. [ABSTRACT FROM AUTHOR]
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- 2024
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11. Breast and bowel cancers diagnosed in people ‘too young to have cancer’: A blueprint for research using family and twin studies
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Hopper, John L., primary, Li, Shuai, additional, MacInnis, Robert J., additional, Dowty, James G., additional, Nguyen, Tuong L., additional, Bui, Minh, additional, Dite, Gillian S., additional, Esser, Vivienne F. C., additional, Ye, Zhoufeng, additional, Makalic, Enes, additional, Schmidt, Daniel F., additional, Goudey, Benjamin, additional, Alpen, Karen, additional, Kapuscinski, Miroslaw, additional, Win, Aung Ko, additional, Dugué, Pierre‐Antoine, additional, Milne, Roger L., additional, Jayasekara, Harindra, additional, Brooks, Jennifer D., additional, Malta, Sue, additional, Calais‐Ferreira, Lucas, additional, Campbell, Alexander C., additional, Young, Jesse T., additional, Nguyen‐Dumont, Tu, additional, Sung, Joohon, additional, Giles, Graham G., additional, Buchanan, Daniel, additional, Winship, Ingrid, additional, Terry, Mary Beth, additional, Southey, Melissa C., additional, and Jenkins, Mark A., additional
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- 2024
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12. Causation and familial confounding as explanations for the associations of polygenic risk scores with breast cancer: Evidence from innovative ICE FALCON and ICE CRISTAL analyses
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Li, Shuai, primary, Dite, Gillian S., additional, MacInnis, Robert J., additional, Bui, Minh, additional, Nguyen, Tuong L., additional, Esser, Vivienne F. C., additional, Ye, Zhoufeng, additional, Dowty, James G., additional, Makalic, Enes, additional, Sung, Joohon, additional, Giles, Graham G., additional, Southey, Melissa C., additional, and Hopper, John L., additional
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- 2024
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13. Data from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures
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Ye, Zhoufeng, primary, Dite, Gillian S., primary, Nguyen, Tuong L., primary, MacInnis, Robert J., primary, Schmidt, Daniel F., primary, Makalic, Enes, primary, Al-Qershi, Osamah M., primary, Nguyen-Dumont, Tu, primary, Goudey, Benjamin, primary, Stone, Jennifer, primary, Dowty, James G., primary, Giles, Graham G., primary, Southey, Melissa C., primary, Hopper, John L., primary, and Li, Shuai, primary
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- 2024
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14. Supplementary Methods S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures
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Ye, Zhoufeng, primary, Dite, Gillian S., primary, Nguyen, Tuong L., primary, MacInnis, Robert J., primary, Schmidt, Daniel F., primary, Makalic, Enes, primary, Al-Qershi, Osamah M., primary, Nguyen-Dumont, Tu, primary, Goudey, Benjamin, primary, Stone, Jennifer, primary, Dowty, James G., primary, Giles, Graham G., primary, Southey, Melissa C., primary, Hopper, John L., primary, and Li, Shuai, primary
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- 2024
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15. Supplementary Figure S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures
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Ye, Zhoufeng, primary, Dite, Gillian S., primary, Nguyen, Tuong L., primary, MacInnis, Robert J., primary, Schmidt, Daniel F., primary, Makalic, Enes, primary, Al-Qershi, Osamah M., primary, Nguyen-Dumont, Tu, primary, Goudey, Benjamin, primary, Stone, Jennifer, primary, Dowty, James G., primary, Giles, Graham G., primary, Southey, Melissa C., primary, Hopper, John L., primary, and Li, Shuai, primary
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- 2024
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16. Supplementary Table S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures
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Ye, Zhoufeng, primary, Dite, Gillian S., primary, Nguyen, Tuong L., primary, MacInnis, Robert J., primary, Schmidt, Daniel F., primary, Makalic, Enes, primary, Al-Qershi, Osamah M., primary, Nguyen-Dumont, Tu, primary, Goudey, Benjamin, primary, Stone, Jennifer, primary, Dowty, James G., primary, Giles, Graham G., primary, Southey, Melissa C., primary, Hopper, John L., primary, and Li, Shuai, primary
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- 2024
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17. A combined clinical and genetic model for predicting risk of ovarian cancer
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Dite, Gillian S., Spaeth, Erika, Murphy, Nicholas M., and Allman, Richard
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- 2023
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18. Genetic and environmental causes of variation in an automated breast cancer risk factor based on mammographic textures
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Ye, Zhoufeng, primary, Dite, Gillian S., additional, Nguyen, Tuong L., additional, Maclnnis, Robert J., additional, Schmidt, Daniel F., additional, Makalic, Enes, additional, Al-Qershi, Osamah M., additional, Nguyen-Dumont, Tu, additional, Goudey, Benjamin, additional, Stone, Jennifer, additional, Dowty, James G., additional, Giles, Graham G., additional, Southey, Melissa C., additional, Hopper, John L., additional, and Li, Shuai, additional
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- 2023
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19. Genetic variation in mitotic regulatory pathway genes is associated with breast tumor grade.
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Purrington, Kristen S, Slettedahl, Seth, Bolla, Manjeet K, Michailidou, Kyriaki, Czene, Kamila, Nevanlinna, Heli, Bojesen, Stig E, Andrulis, Irene L, Cox, Angela, Hall, Per, Carpenter, Jane, Yannoukakos, Drakoulis, Haiman, Christopher A, Fasching, Peter A, Mannermaa, Arto, Winqvist, Robert, Brenner, Hermann, Lindblom, Annika, Chenevix-Trench, Georgia, Benitez, Javier, Swerdlow, Anthony, Kristensen, Vessela, Guénel, Pascal, Meindl, Alfons, Darabi, Hatef, Eriksson, Mikael, Fagerholm, Rainer, Aittomäki, Kristiina, Blomqvist, Carl, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Wang, Xianshu, Olswold, Curtis, Olson, Janet E, Mulligan, Anna Marie, Knight, Julia A, Tchatchou, Sandrine, Reed, Malcolm WR, Cross, Simon S, Liu, Jianjun, Li, Jingmei, Humphreys, Keith, Clarke, Christine, Scott, Rodney, ABCTB Investigators, Fostira, Florentia, Fountzilas, George, Konstantopoulou, Irene, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Ekici, Arif B, Hartmann, Arndt, Beckmann, Matthias W, Hartikainen, Jaana M, Kosma, Veli-Matti, Kataja, Vesa, Jukkola-Vuorinen, Arja, Pylkäs, Katri, Kauppila, Saila, Dieffenbach, Aida Karina, Stegmaier, Christa, Arndt, Volker, Margolin, Sara, Australian Ovarian Cancer Study Group, kConFab Investigators, Balleine, Rosemary, Arias Perez, Jose Ignacio, Pilar Zamora, M, Menéndez, Primitiva, Ashworth, Alan, Jones, Michael, Orr, Nick, Arveux, Patrick, Kerbrat, Pierre, Truong, Thérèse, Bugert, Peter, Toland, Amanda E, Ambrosone, Christine B, Labrèche, France, Goldberg, Mark S, Dumont, Martine, Ziogas, Argyrios, Lee, Eunjung, Dite, Gillian S, Apicella, Carmel, Southey, Melissa C, Long, Jirong, Shrubsole, Martha, Deming-Halverson, Sandra, Ficarazzi, Filomena, Barile, Monica, Peterlongo, Paolo, Durda, Katarzyna, Jaworska-Bieniek, Katarzyna, Tollenaar, Robert AEM, Seynaeve, Caroline, GENICA Network, and Brüning, Thomas
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ABCTB Investigators ,Australian Ovarian Cancer Study Group ,kConFab Investigators ,GENICA Network ,Humans ,Breast Neoplasms ,Carrier Proteins ,Tumor Suppressor Proteins ,Neoplasm Staging ,Risk Factors ,Case-Control Studies ,Haplotypes ,Polymorphism ,Single Nucleotide ,Female ,Receptor ,Fibroblast Growth Factor ,Type 2 ,Genetic Variation ,Genetics ,Breast Cancer ,Prevention ,Human Genome ,Cancer ,Biotechnology ,Aetiology ,2.1 Biological and endogenous factors ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Mitotic index is an important component of histologic grade and has an etiologic role in breast tumorigenesis. Several small candidate gene studies have reported associations between variation in mitotic genes and breast cancer risk. We measured associations between 2156 single nucleotide polymorphisms (SNPs) from 194 mitotic genes and breast cancer risk, overall and by histologic grade, in the Breast Cancer Association Consortium (BCAC) iCOGS study (n = 39 067 cases; n = 42 106 controls). SNPs in TACC2 [rs17550038: odds ratio (OR) = 1.24, 95% confidence interval (CI) 1.16-1.33, P = 4.2 × 10(-10)) and EIF3H (rs799890: OR = 1.07, 95% CI 1.04-1.11, P = 8.7 × 10(-6)) were significantly associated with risk of low-grade breast cancer. The TACC2 signal was retained (rs17550038: OR = 1.15, 95% CI 1.07-1.23, P = 7.9 × 10(-5)) after adjustment for breast cancer risk SNPs in the nearby FGFR2 gene, suggesting that TACC2 is a novel, independent genome-wide significant genetic risk locus for low-grade breast cancer. While no SNPs were individually associated with high-grade disease, a pathway-level gene set analysis showed that variation across the 194 mitotic genes was associated with high-grade breast cancer risk (P = 2.1 × 10(-3)). These observations will provide insight into the contribution of mitotic defects to histological grade and the etiology of breast cancer.
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- 2014
20. 10-year performance of four models of breast cancer risk: a validation study
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Terry, Mary Beth, Liao, Yuyan, Whittemore, Alice S, Leoce, Nicole, Buchsbaum, Richard, Zeinomar, Nur, Dite, Gillian S, Chung, Wendy K, Knight, Julia A, Southey, Melissa C, Milne, Roger L, Goldgar, David, Giles, Graham G, McLachlan, Sue-Anne, Friedlander, Michael L, Weideman, Prue C, Glendon, Gord, Nesci, Stephanie, Andrulis, Irene L, John, Esther M, Phillips, Kelly-Anne, Daly, Mary B, Buys, Saundra S, Hopper, John L, and MacInnis, Robert J
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- 2019
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21. Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study.
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Johnson, Nichola, Dudbridge, Frank, Orr, Nick, Gibson, Lorna, Jones, Michael E, Schoemaker, Minouk J, Folkerd, Elizabeth J, Haynes, Ben P, Hopper, John L, Southey, Melissa C, Dite, Gillian S, Apicella, Carmel, Schmidt, Marjanka K, Broeks, Annegien, Van't Veer, Laura J, Atsma, Femke, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Renner, Stefan P, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Guénel, Pascal, Truong, Therese, Cordina, Emilie, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Milne, Roger, Zamora, M Pilar, Arias Perez, Jose Ignacio, Benitez, Javier, Bernstein, Leslie, Anton-Culver, Hoda, Ziogas, Argyrios, Clarke Dur, Christina, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Dieffenbach, Aida Karina, Meindl, Alfons, Heil, Joerg, Bartram, Claus R, Schmutzler, Rita K, Brauch, Hiltrud, Justenhoven, Christina, Ko, Yon-Dschun, GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Dörk, Thilo, Bogdanova, Natalia V, Antonenkova, Natalia N, Lindblom, Annika, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Chenevix-Trench, Georgia, Beesley, Jonathan, kConFab Investigators, Australian Ovarian Cancer Study Group, Wu, Anna H, Van den Berg, David, Tseng, Chiu-Chen, Lambrechts, Diether, Smeets, Dominiek, Neven, Patrick, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Nickels, Stefan, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Bonanni, Bernardo, Pensotti, Valeria, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, Pankratz, Vernon S, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, Haiman, Chris, Simard, Jacques, and Goldberg, Mark S
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GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network ,kConFab Investigators ,Australian Ovarian Cancer Study Group ,Humans ,Breast Neoplasms ,Genetic Predisposition to Disease ,Reproductive History ,Risk Factors ,Age Factors ,Age of Onset ,Premenopause ,Menarche ,Genotype ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Middle Aged ,European Continental Ancestry Group ,Female ,Cytochrome P-450 CYP3A ,Genetic Association Studies ,Human Genome ,Aging ,Clinical Research ,Cancer ,Genetics ,Breast Cancer ,Oncology & Carcinogenesis ,Oncology and Carcinogenesis - Abstract
IntroductionWe have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and a modest reduction in risk of breast cancer in women age ≤50 years.MethodsWe further investigated the association of rs10235235 with breast cancer risk in a large case control study of 47,346 cases and 47,570 controls from 52 studies participating in the Breast Cancer Association Consortium. Genotyping of rs10235235 was conducted using a custom Illumina Infinium array. Stratified analyses were conducted to determine whether this association was modified by age at diagnosis, ethnicity, age at menarche or tumor characteristics.ResultsWe confirmed the association of rs10235235 with breast cancer risk for women of European ancestry but found no evidence that this association differed with age at diagnosis. Heterozygote and homozygote odds ratios (ORs) were OR = 0.98 (95% CI 0.94, 1.01; P = 0.2) and OR = 0.80 (95% CI 0.69, 0.93; P = 0.004), respectively (P(trend) = 0.02). There was no evidence of effect modification by tumor characteristics. rs10235235 was, however, associated with age at menarche in controls (P(trend) = 0.005) but not cases (P(trend) = 0.97). Consequently the association between rs10235235 and breast cancer risk differed according to age at menarche (P(het) = 0.02); the rare allele of rs10235235 was associated with a reduction in breast cancer risk for women who had their menarche age ≥15 years (OR(het) = 0.84, 95% CI 0.75, 0.94; OR(hom) = 0.81, 95% CI 0.51, 1.30; P(trend) = 0.002) but not for those who had their menarche age ≤11 years (OR(het) = 1.06, 95% CI 0.95, 1.19, OR(hom) = 1.07, 95% CI 0.67, 1.72; P(trend) = 0.29).ConclusionsTo our knowledge rs10235235 is the first single nucleotide polymorphism to be associated with both breast cancer risk and age at menarche consistent with the well-documented association between later age at menarche and a reduction in breast cancer risk. These associations are likely mediated via an effect on circulating hormone levels.
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- 2014
22. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium.
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Milne, Roger L, Herranz, Jesús, Michailidou, Kyriaki, Dennis, Joe, Tyrer, Jonathan P, Zamora, M Pilar, Arias-Perez, José Ignacio, González-Neira, Anna, Pita, Guillermo, Alonso, M Rosario, Wang, Qin, Bolla, Manjeet K, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, Hatef, Li, Jingmei, Anton-Culver, Hoda, Neuhausen, Susan L, Ziogas, Argyrios, Clarke, Christina A, Hopper, John L, Dite, Gillian S, Apicella, Carmel, Southey, Melissa C, Chenevix-Trench, Georgia, kConFab Investigators, Australian Ovarian Cancer Study Group, Swerdlow, Anthony, Ashworth, Alan, Orr, Nicholas, Schoemaker, Minouk, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Mulligan, Anna Marie, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Wang, Xianshu, Olson, Janet E, Vachon, Celine, Purrington, Kristen, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Dunning, Alison M, Shah, Mitul, Guénel, Pascal, Truong, Thérèse, Sanchez, Marie, Mulot, Claire, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Lindblom, Annika, Margolin, Sara, Hooning, Maartje J, Hollestelle, Antoinette, Collée, J Margriet, Jager, Agnes, Cox, Angela, Brock, Ian W, Reed, Malcolm WR, Devilee, Peter, Tollenaar, Robert AEM, Seynaeve, Caroline, Haiman, Christopher A, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Dumont, Martine, Soucy, Penny, Dörk, Thilo, Bogdanova, Natalia V, Hamann, Ute, Försti, Asta, Rüdiger, Thomas, Ulmer, Hans-Ulrich, Fasching, Peter A, Häberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Fletcher, Olivia, and Johnson, Nichola
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kConFab Investigators ,Australian Ovarian Cancer Study Group ,GENICA Network ,TNBCC ,Humans ,Breast Neoplasms ,Genetic Predisposition to Disease ,Logistic Models ,Case-Control Studies ,Epistasis ,Genetic ,Polymorphism ,Single Nucleotide ,Female ,Genome-Wide Association Study ,Epistasis ,Genetic ,Polymorphism ,Single Nucleotide ,Human Genome ,Cancer ,Genetics ,Prevention ,Breast Cancer ,2.1 Biological and endogenous factors ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
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- 2014
23. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46 450 cases and 42 461 controls from the breast cancer association consortium
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Milne, Roger L, Herranz, Jesús, Michailidou, Kyriaki, Dennis, Joe, Tyrer, Jonathan P, Zamora, M Pilar, Arias-Perez, José Ignacio, González-Neira, Anna, Pita, Guillermo, Alonso, M Rosario, Wang, Qin, Bolla, Manjeet K, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, Hatef, Li, Jingmei, Anton-Culver, Hoda, Neuhausen, Susan L, Ziogas, Argyrios, Clarke, Christina A, Hopper, John L, Dite, Gillian S, Apicella, Carmel, Southey, Melissa C, Chenevix-Trench, Georgia, Swerdlow, Anthony, Ashworth, Alan, Orr, Nicholas, Schoemaker, Minouk, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Mulligan, Anna Marie, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Wang, Xianshu, Olson, Janet E, Vachon, Celine, Purrington, Kristen, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Dunning, Alison M, Shah, Mitul, Guénel, Pascal, Truong, Thérèse, Sanchez, Marie, Mulot, Claire, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Lindblom, Annika, Margolin, Sara, Hooning, Maartje J, Hollestelle, Antoinette, Collée, J Margriet, Jager, Agnes, Cox, Angela, Brock, Ian W, Reed, Malcolm WR, Devilee, Peter, Tollenaar, Robert AEM, Seynaeve, Caroline, Haiman, Christopher A, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Dumont, Martine, Soucy, Penny, Dörk, Thilo, Bogdanova, Natalia V, Hamann, Ute, Försti, Asta, Rüdiger, Thomas, Ulmer, Hans-Ulrich, Fasching, Peter A, Häberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, and Peto, Julian
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Breast Cancer ,Human Genome ,Genetics ,Cancer ,Prevention ,2.1 Biological and endogenous factors ,Aetiology ,Breast Neoplasms ,Case-Control Studies ,Epistasis ,Genetic ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Logistic Models ,Polymorphism ,Single Nucleotide ,kConFab Investigators ,Australian Ovarian Cancer Study Group ,GENICA Network ,TNBCC ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
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- 2014
24. Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures.
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Zhoufeng Ye, Dite, Gillian S., Nguyen, Tuong L., MacInnis, Robert J., Schmidt, Daniel F., Makalic, Enes, Al-Qershi, Osamah M., Tu Nguyen-Dumont, Goudey, Benjamin, Stone, Jennifer, Dowty, James G., Giles, Graham G., Southey, Melissa C., Hopper, John L., and Shuai Li
- Abstract
Background: Cirrus is an automated risk predictor for breast cancer that comprises texture-based mammographic features and is mostly independent of mammographic density. We investigated genetic and environmental variance of variation in Cirrus. Methods: We measured Cirrus for 3,195 breast cancer-free participants, including 527 pairs of monozygotic (MZ) twins, 271 pairs of dizygotic (DZ) twins, and 1,599 siblings of twins. Multivariate normal models were used to estimate the variance and familial correlations of age-adjusted Cirrus as a function of age. The classic twin model was expanded to allow the shared environment effects to differ by zygosity. The SNP-based heritability was estimated for a subset of 2,356 participants. Results: There was no evidence that the variance or familial correlations depended on age. The familial correlations were 0.52 (SE, 0.03) for MZ pairs and 0.16(SE, 0.03) for DZ and non-twin sister pairs combined. Shared environmental factors specific to MZ pairs accounted for 20% of the variance. Additive genetic factors accounted for 32% (SE = 5%) of the variance, consistent with the SNP-based heritability of 36% (SE = 16%). Conclusion: Cirrus is substantially familial due to genetic factors and an influence of shared environmental factors that was evident for MZ twin pairs only. The latter could be due to nongenetic factors operating in utero or in early life that are shared by MZ twins. [ABSTRACT FROM AUTHOR]
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- 2024
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25. Ability of known susceptibility SNPs to predict colorectal cancer risk for persons with and without a family history
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Jenkins, Mark A., Win, Aung K., Dowty, James G., MacInnis, Robert J., Makalic, Enes, Schmidt, Daniel F., Dite, Gillian S., Kapuscinski, Mirosl, Clendenning, Mark, Rosty, Christophe, Winship, Ingrid M., Emery, Jon D., Saya, Sibel, Macrae, Finlay A., Ahnen, Dennis J., Duggan, David, Figueiredo, Jane C., Lindor, Noralane M., Haile, Robert W., Potter, John D., Cotterchio, Michelle, Gallinger, Steven, Newcomb, Polly A., Buchanan, Daniel D., Casey, Graham, and Hopper, John L.
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- 2019
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26. Inference about causation between body mass index and DNA methylation in blood from a twin family study
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Li, Shuai, Wong, Ee Ming, Bui, Minh, Nguyen, Tuong L, Joo, Ji-Hoon Eric, Stone, Jennifer, Dite, Gillian S, Dugué, Pierre-Antoine, Milne, Roger L, Giles, Graham G, Saffery, Richard, Southey, Melissa C, and Hopper, John L
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- 2019
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27. Genetic and environmental causes of variation in epigenetic aging across the lifespan
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Li, Shuai, Nguyen, Tuong L., Wong, Ee Ming, Dugué, Pierre-Antoine, Dite, Gillian S., Armstrong, Nicola J., Craig, Jeffrey M., Mather, Karen A., Sachdev, Perminder S., Saffery, Richard, Sung, Joohon, Tan, Qihua, Thalamuthu, Anbupalam, Milne, Roger L., Giles, Graham G., Southey, Melissa C., and Hopper, John L.
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- 2020
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28. Using Bivariate Models to Understand between- and within-Cluster Regression Coefficients, with Application to Twin Data
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Carlin, John B., Dite, Gillian S., and Hopper, John L.
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- 2006
29. Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the Breast Cancer Association Consortium: a combined case-control study
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Milne, Roger L, Gaudet, Mia M, Spurdle, Amanda B, Fasching, Peter A, Couch, Fergus J, Benítez, Javier, Arias Pérez, José Ignacio, Zamora, M Pilar, Malats, Núria, dos Santos Silva, Isabel, Gibson, Lorna J, Fletcher, Olivia, Johnson, Nichola, Anton-Culver, Hoda, Ziogas, Argyrios, Figueroa, Jonine, Brinton, Louise, Sherman, Mark E, Lissowska, Jolanta, Hopper, John L, Dite, Gillian S, Apicella, Carmel, Southey, Melissa C, Sigurdson, Alice J, Linet, Martha S, Schonfeld, Sara J, Freedman, D Michal, Mannermaa, Arto, Kosma, Veli-Matti, Kataja, Vesa, Auvinen, Päivi, Andrulis, Irene L, Glendon, Gord, Knight, Julia A, Weerasooriya, Nayana, Cox, Angela, Reed, Malcolm WR, Cross, Simon S, Dunning, Alison M, Ahmed, Shahana, Shah, Mitul, Brauch, Hiltrud, Ko, Yon-Dschun, Brüning, Thomas, hiltrud.brauch@ikp-stuttgart.de, Lambrechts, Diether, Reumers, Joke, Smeets, Ann, Wang-Gohrke, Shan, Hall, Per, Czene, Kamila, Liu, Jianjun, Irwanto, Astrid K, Chenevix-Trench, Georgia, Holland, Helene, Georgia.Trench@qimr.edu.au, Giles, Graham G, Baglietto, Laura, Severi, Gianluca, Bojensen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, John, Esther M, West, Dee W, Whittemore, Alice S, Vachon, Celine, Olson, Janet E, Fredericksen, Zachary, Kosel, Matthew, Hein, Rebecca, Vrieling, Alina, Flesch-Janys, Dieter, Heinz, Judith, Beckmann, Matthias W, Heusinger, Katharina, Ekici, Arif B, Haeberle, Lothar, Humphreys, Manjeet K, Morrison, Jonathan, Easton, Doug F, Pharoah, Paul D, García-Closas, Montserrat, Goode, Ellen L, and Chang-Claude, Jenny
- Abstract
Abstract Introduction Several common breast cancer genetic susceptibility variants have recently been identified. We aimed to determine how these variants combine with a subset of other known risk factors to influence breast cancer risk in white women of European ancestry using case-control studies participating in the Breast Cancer Association Consortium. Methods We evaluated two-way interactions between each of age at menarche, ever having had a live birth, number of live births, age at first birth and body mass index (BMI) and each of 12 single nucleotide polymorphisms (SNPs) (10q26-rs2981582 (FGFR2), 8q24-rs13281615, 11p15-rs3817198 (LSP1), 5q11-rs889312 (MAP3K1), 16q12-rs3803662 (TOX3), 2q35-rs13387042, 5p12-rs10941679 (MRPS30), 17q23-rs6504950 (COX11), 3p24-rs4973768 (SLC4A7), CASP8-rs17468277, TGFB1-rs1982073 and ESR1-rs3020314). Interactions were tested for by fitting logistic regression models including per-allele and linear trend main effects for SNPs and risk factors, respectively, and single-parameter interaction terms for linear departure from independent multiplicative effects. Results These analyses were applied to data for up to 26,349 invasive breast cancer cases and up to 32,208 controls from 21 case-control studies. No statistical evidence of interaction was observed beyond that expected by chance. Analyses were repeated using data from 11 population-based studies, and results were very similar. Conclusions The relative risks for breast cancer associated with the common susceptibility variants identified to date do not appear to vary across women with different reproductive histories or body mass index (BMI). The assumption of multiplicative combined effects for these established genetic and other risk factors in risk prediction models appears justified.
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- 2010
30. Variance of age-specific log incidence decomposition (VALID): a unifying model of measured and unmeasured genetic and non-genetic risks
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Hopper, John L, primary, Dowty, James G, additional, Nguyen, Tuong L, additional, Li, Shuai, additional, Dite, Gillian S, additional, MacInnis, Robert J, additional, Makalic, Enes, additional, Schmidt, Daniel F, additional, Bui, Minh, additional, Stone, Jennifer, additional, Sung, Joohon, additional, Jenkins, Mark A, additional, Giles, Graham G, additional, Southey, Melissa C, additional, and Mathews, John D, additional
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- 2023
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31. Supplementary Table S3 from Validation of an Abridged Breast Cancer Risk Prediction Model for the General Population
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Spaeth, Erika L., primary, Dite, Gillian S., primary, Hopper, John L., primary, and Allman, Richard, primary
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- 2023
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32. Supplementary Figure S1 from Validation of an Abridged Breast Cancer Risk Prediction Model for the General Population
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Spaeth, Erika L., primary, Dite, Gillian S., primary, Hopper, John L., primary, and Allman, Richard, primary
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- 2023
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33. Supplementary Methods S1 from Validation of an Abridged Breast Cancer Risk Prediction Model for the General Population
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Spaeth, Erika L., primary, Dite, Gillian S., primary, Hopper, John L., primary, and Allman, Richard, primary
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- 2023
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34. Data from Validation of an Abridged Breast Cancer Risk Prediction Model for the General Population
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Spaeth, Erika L., primary, Dite, Gillian S., primary, Hopper, John L., primary, and Allman, Richard, primary
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- 2023
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35. Alcohol consumption, cigarette smoking, and familial breast cancer risk: findings from the Prospective Family Study Cohort (ProF-SC)
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Zeinomar, Nur, Knight, Julia A., Genkinger, Jeanine M., Phillips, Kelly-Anne, Daly, Mary B., Milne, Roger L., Dite, Gillian S., Kehm, Rebecca D., Liao, Yuyan, Southey, Melissa C., Chung, Wendy K., Giles, Graham G., McLachlan, Sue-Anne, Friedlander, Michael L., Weideman, Prue C., Glendon, Gord, Nesci, Stephanie, Andrulis, Irene L., Buys, Saundra S., John, Esther M., MacInnis, Robert J., Hopper, John L., and Terry, Mary Beth
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- 2019
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36. Breast Cancer in Australian Women under the Age of 40
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Dite, Gillian S., Giles, Graham G., and Hopper, John L.
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- 1998
37. Melanoma risk prediction based on a polygenic risk score and clinical risk factors
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Wong, Chi Kuen, primary, Dite, Gillian S., additional, Spaeth, Erika, additional, Murphy, Nicholas M., additional, and Allman, Richard, additional
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- 2023
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38. Development and validation of a simple prostate cancer risk prediction model based on age, family history, and polygenic risk
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Dite, Gillian S., primary, Spaeth, Erika, additional, Murphy, Nicholas M., additional, and Allman, Richard, additional
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- 2023
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39. Data from Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC)
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Ye, Zhoufeng, primary, Li, Shuai, primary, Dite, Gillian S., primary, Nguyen, Tuong L., primary, MacInnis, Robert J., primary, Andrulis, Irene L., primary, Buys, Saundra S., primary, Daly, Mary B., primary, John, Esther M., primary, Kurian, Allison W., primary, Genkinger, Jeanine M., primary, Chung, Wendy K., primary, Phillips, Kelly-Anne, primary, Thorne, Heather, primary, Winship, Ingrid M., primary, Milne, Roger L., primary, Dugué, Pierre-Antoine, primary, Southey, Melissa C., primary, Giles, Graham G., primary, Terry, Mary Beth, primary, and Hopper, John L., primary
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- 2023
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40. Supplementary Data from Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC)
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Ye, Zhoufeng, primary, Li, Shuai, primary, Dite, Gillian S., primary, Nguyen, Tuong L., primary, MacInnis, Robert J., primary, Andrulis, Irene L., primary, Buys, Saundra S., primary, Daly, Mary B., primary, John, Esther M., primary, Kurian, Allison W., primary, Genkinger, Jeanine M., primary, Chung, Wendy K., primary, Phillips, Kelly-Anne, primary, Thorne, Heather, primary, Winship, Ingrid M., primary, Milne, Roger L., primary, Dugué, Pierre-Antoine, primary, Southey, Melissa C., primary, Giles, Graham G., primary, Terry, Mary Beth, primary, and Hopper, John L., primary
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- 2023
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41. Data from Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer
- Author
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Milne, Roger L., primary, Goode, Ellen L., primary, García-Closas, Montserrat, primary, Couch, Fergus J., primary, Severi, Gianluca, primary, Hein, Rebecca, primary, Fredericksen, Zachary, primary, Malats, Núria, primary, Zamora, M. Pilar, primary, Pérez, Jose Ignacio Arias, primary, Benítez, Javier, primary, Dörk, Thilo, primary, Schürmann, Peter, primary, Karstens, Johann H., primary, Hillemanns, Peter, primary, Cox, Angela, primary, Brock, Ian W., primary, Elliot, Graeme, primary, Cross, Simon S., primary, Seal, Sheila, primary, Turnbull, Clare, primary, Renwick, Anthony, primary, Rahman, Nazneen, primary, Shen, Chen-Yang, primary, Yu, Jyh-Cherng, primary, Huang, Chiun-Sheng, primary, Hou, Ming-Feng, primary, Nordestgaard, Børge G., primary, Bojesen, Stig E., primary, Lanng, Charlotte, primary, Alnæs, Grethe Grenaker, primary, Kristensen, Vessela, primary, Børrensen-Dale, Anne-Lise, primary, Hopper, John L., primary, Dite, Gillian S., primary, Apicella, Carmel, primary, Southey, Melissa C., primary, Lambrechts, Diether, primary, Yesilyurt, Betül T., primary, Floris, Giuseppe, primary, Leunen, Karin, primary, Sangrajrang, Suleeporn, primary, Gaborieau, Valerie, primary, Brennan, Paul, primary, McKay, James, primary, Chang-Claude, Jenny, primary, Wang-Gohrke, Shan, primary, Radice, Paolo, primary, Peterlongo, Paolo, primary, Manoukian, Siranoush, primary, Barile, Monica, primary, Giles, Graham G., primary, Baglietto, Laura, primary, John, Esther M., primary, Miron, Alexander, primary, Chanock, Stephen J., primary, Lissowska, Jolanta, primary, Sherman, Mark E., primary, Figueroa, Jonine D., primary, Bogdanova, Natalia V., primary, Antonenkova, Natalia N., primary, Zalutsky, Iosif V., primary, Rogov, Yuri I., primary, Fasching, Peter A., primary, Bayer, Christian M., primary, Ekici, Arif B., primary, Beckmann, Matthias W., primary, Brenner, Hermann, primary, Müller, Heiko, primary, Arndt, Volker, primary, Stegmaier, Christa, primary, Andrulis, Irene L., primary, Knight, Julia A., primary, Glendon, Gord, primary, Mulligan, Anna Marie, primary, Mannermaa, Arto, primary, Kataja, Vesa, primary, Kosma, Veli-Matti, primary, Hartikainen, Jaana M., primary, Meindl, Alfons, primary, Heil, Joerg, primary, Bartram, Claus R., primary, Schmutzler, Rita K., primary, Thomas, Gilles D., primary, Hoover, Robert N., primary, Fletcher, Olivia, primary, Gibson, Lorna J., primary, dos Santos Silva, Isabel, primary, Peto, Julian, primary, Nickels, Stefan, primary, Flesch-Janys, Dieter, primary, Anton-Culver, Hoda, primary, Ziogas, Argyrios, primary, Sawyer, Elinor, primary, Tomlinson, Ian, primary, Kerin, Michael, primary, Miller, Nicola, primary, Schmidt, Marjanka K., primary, Broeks, Annegien, primary, Van ‘t Veer, Laura J., primary, Tollenaar, Rob A.E.M., primary, Pharoah, Paul D.P., primary, Dunning, Alison M., primary, Pooley, Karen A., primary, Marme, Frederik, primary, Schneeweiss, Andreas, primary, Sohn, Christof, primary, Burwinkel, Barbara, primary, Jakubowska, Anna, primary, Lubinski, Jan, primary, Jaworska, Katarzyna, primary, Durda, Katarzyna, primary, Kang, Daehee, primary, Yoo, Keun-Young, primary, Noh, Dong-Young, primary, Ahn, Sei-Hyun, primary, Hunter, David J., primary, Hankinson, Susan E., primary, Kraft, Peter, primary, Lindstrom, Sara, primary, Chen, Xiaoqing, primary, Beesley, Jonathan, primary, Hamann, Ute, primary, Harth, Volker, primary, Justenhoven, Christina, primary, Winqvist, Robert, primary, Pylkäs, Katri, primary, Jukkola-Vuorinen, Arja, primary, Grip, Mervi, primary, Hooning, Maartje, primary, Hollestelle, Antoinette, primary, Oldenburg, Rogier A., primary, Tilanus-Linthorst, Madeleine, primary, Khusnutdinova, Elza, primary, Bermisheva, Marina, primary, Prokofieva, Darya, primary, Farahtdinova, Albina, primary, Olson, Janet E., primary, Wang, Xianshu, primary, Humphreys, Manjeet K., primary, Wang, Qin, primary, Chenevix-Trench, Georgia, primary, and Easton, Douglas F., primary
- Published
- 2023
- Full Text
- View/download PDF
42. Supplementary Table 3 from Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer
- Author
-
Milne, Roger L., primary, Goode, Ellen L., primary, García-Closas, Montserrat, primary, Couch, Fergus J., primary, Severi, Gianluca, primary, Hein, Rebecca, primary, Fredericksen, Zachary, primary, Malats, Núria, primary, Zamora, M. Pilar, primary, Pérez, Jose Ignacio Arias, primary, Benítez, Javier, primary, Dörk, Thilo, primary, Schürmann, Peter, primary, Karstens, Johann H., primary, Hillemanns, Peter, primary, Cox, Angela, primary, Brock, Ian W., primary, Elliot, Graeme, primary, Cross, Simon S., primary, Seal, Sheila, primary, Turnbull, Clare, primary, Renwick, Anthony, primary, Rahman, Nazneen, primary, Shen, Chen-Yang, primary, Yu, Jyh-Cherng, primary, Huang, Chiun-Sheng, primary, Hou, Ming-Feng, primary, Nordestgaard, Børge G., primary, Bojesen, Stig E., primary, Lanng, Charlotte, primary, Alnæs, Grethe Grenaker, primary, Kristensen, Vessela, primary, Børrensen-Dale, Anne-Lise, primary, Hopper, John L., primary, Dite, Gillian S., primary, Apicella, Carmel, primary, Southey, Melissa C., primary, Lambrechts, Diether, primary, Yesilyurt, Betül T., primary, Floris, Giuseppe, primary, Leunen, Karin, primary, Sangrajrang, Suleeporn, primary, Gaborieau, Valerie, primary, Brennan, Paul, primary, McKay, James, primary, Chang-Claude, Jenny, primary, Wang-Gohrke, Shan, primary, Radice, Paolo, primary, Peterlongo, Paolo, primary, Manoukian, Siranoush, primary, Barile, Monica, primary, Giles, Graham G., primary, Baglietto, Laura, primary, John, Esther M., primary, Miron, Alexander, primary, Chanock, Stephen J., primary, Lissowska, Jolanta, primary, Sherman, Mark E., primary, Figueroa, Jonine D., primary, Bogdanova, Natalia V., primary, Antonenkova, Natalia N., primary, Zalutsky, Iosif V., primary, Rogov, Yuri I., primary, Fasching, Peter A., primary, Bayer, Christian M., primary, Ekici, Arif B., primary, Beckmann, Matthias W., primary, Brenner, Hermann, primary, Müller, Heiko, primary, Arndt, Volker, primary, Stegmaier, Christa, primary, Andrulis, Irene L., primary, Knight, Julia A., primary, Glendon, Gord, primary, Mulligan, Anna Marie, primary, Mannermaa, Arto, primary, Kataja, Vesa, primary, Kosma, Veli-Matti, primary, Hartikainen, Jaana M., primary, Meindl, Alfons, primary, Heil, Joerg, primary, Bartram, Claus R., primary, Schmutzler, Rita K., primary, Thomas, Gilles D., primary, Hoover, Robert N., primary, Fletcher, Olivia, primary, Gibson, Lorna J., primary, dos Santos Silva, Isabel, primary, Peto, Julian, primary, Nickels, Stefan, primary, Flesch-Janys, Dieter, primary, Anton-Culver, Hoda, primary, Ziogas, Argyrios, primary, Sawyer, Elinor, primary, Tomlinson, Ian, primary, Kerin, Michael, primary, Miller, Nicola, primary, Schmidt, Marjanka K., primary, Broeks, Annegien, primary, Van ‘t Veer, Laura J., primary, Tollenaar, Rob A.E.M., primary, Pharoah, Paul D.P., primary, Dunning, Alison M., primary, Pooley, Karen A., primary, Marme, Frederik, primary, Schneeweiss, Andreas, primary, Sohn, Christof, primary, Burwinkel, Barbara, primary, Jakubowska, Anna, primary, Lubinski, Jan, primary, Jaworska, Katarzyna, primary, Durda, Katarzyna, primary, Kang, Daehee, primary, Yoo, Keun-Young, primary, Noh, Dong-Young, primary, Ahn, Sei-Hyun, primary, Hunter, David J., primary, Hankinson, Susan E., primary, Kraft, Peter, primary, Lindstrom, Sara, primary, Chen, Xiaoqing, primary, Beesley, Jonathan, primary, Hamann, Ute, primary, Harth, Volker, primary, Justenhoven, Christina, primary, Winqvist, Robert, primary, Pylkäs, Katri, primary, Jukkola-Vuorinen, Arja, primary, Grip, Mervi, primary, Hooning, Maartje, primary, Hollestelle, Antoinette, primary, Oldenburg, Rogier A., primary, Tilanus-Linthorst, Madeleine, primary, Khusnutdinova, Elza, primary, Bermisheva, Marina, primary, Prokofieva, Darya, primary, Farahtdinova, Albina, primary, Olson, Janet E., primary, Wang, Xianshu, primary, Humphreys, Manjeet K., primary, Wang, Qin, primary, Chenevix-Trench, Georgia, primary, and Easton, Douglas F., primary
- Published
- 2023
- Full Text
- View/download PDF
43. Supplementary Data from Recreational Physical Activity Is Associated with Reduced Breast Cancer Risk in Adult Women at High Risk for Breast Cancer: A Cohort Study of Women Selected for Familial and Genetic Risk
- Author
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Kehm, Rebecca D., primary, Genkinger, Jeanine M., primary, MacInnis, Robert J., primary, John, Esther M., primary, Phillips, Kelly-Anne, primary, Dite, Gillian S., primary, Milne, Roger L., primary, Zeinomar, Nur, primary, Liao, Yuyan, primary, Knight, Julia A., primary, Southey, Melissa C., primary, Chung, Wendy K., primary, Giles, Graham G., primary, McLachlan, Sue-Anne, primary, Whitaker, Kristen D., primary, Friedlander, Michael, primary, Weideman, Prue C., primary, Glendon, Gord, primary, Nesci, Stephanie, primary, Investigators, kConFab, primary, Andrulis, Irene L., primary, Buys, Saundra S., primary, Daly, Mary B., primary, Hopper, John L., primary, and Terry, Mary Beth, primary
- Published
- 2023
- Full Text
- View/download PDF
44. Data from Recreational Physical Activity Is Associated with Reduced Breast Cancer Risk in Adult Women at High Risk for Breast Cancer: A Cohort Study of Women Selected for Familial and Genetic Risk
- Author
-
Kehm, Rebecca D., primary, Genkinger, Jeanine M., primary, MacInnis, Robert J., primary, John, Esther M., primary, Phillips, Kelly-Anne, primary, Dite, Gillian S., primary, Milne, Roger L., primary, Zeinomar, Nur, primary, Liao, Yuyan, primary, Knight, Julia A., primary, Southey, Melissa C., primary, Chung, Wendy K., primary, Giles, Graham G., primary, McLachlan, Sue-Anne, primary, Whitaker, Kristen D., primary, Friedlander, Michael, primary, Weideman, Prue C., primary, Glendon, Gord, primary, Nesci, Stephanie, primary, Investigators, kConFab, primary, Andrulis, Irene L., primary, Buys, Saundra S., primary, Daly, Mary B., primary, Hopper, John L., primary, and Terry, Mary Beth, primary
- Published
- 2023
- Full Text
- View/download PDF
45. Supplementary Table 1 from Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer
- Author
-
Milne, Roger L., primary, Goode, Ellen L., primary, García-Closas, Montserrat, primary, Couch, Fergus J., primary, Severi, Gianluca, primary, Hein, Rebecca, primary, Fredericksen, Zachary, primary, Malats, Núria, primary, Zamora, M. Pilar, primary, Pérez, Jose Ignacio Arias, primary, Benítez, Javier, primary, Dörk, Thilo, primary, Schürmann, Peter, primary, Karstens, Johann H., primary, Hillemanns, Peter, primary, Cox, Angela, primary, Brock, Ian W., primary, Elliot, Graeme, primary, Cross, Simon S., primary, Seal, Sheila, primary, Turnbull, Clare, primary, Renwick, Anthony, primary, Rahman, Nazneen, primary, Shen, Chen-Yang, primary, Yu, Jyh-Cherng, primary, Huang, Chiun-Sheng, primary, Hou, Ming-Feng, primary, Nordestgaard, Børge G., primary, Bojesen, Stig E., primary, Lanng, Charlotte, primary, Alnæs, Grethe Grenaker, primary, Kristensen, Vessela, primary, Børrensen-Dale, Anne-Lise, primary, Hopper, John L., primary, Dite, Gillian S., primary, Apicella, Carmel, primary, Southey, Melissa C., primary, Lambrechts, Diether, primary, Yesilyurt, Betül T., primary, Floris, Giuseppe, primary, Leunen, Karin, primary, Sangrajrang, Suleeporn, primary, Gaborieau, Valerie, primary, Brennan, Paul, primary, McKay, James, primary, Chang-Claude, Jenny, primary, Wang-Gohrke, Shan, primary, Radice, Paolo, primary, Peterlongo, Paolo, primary, Manoukian, Siranoush, primary, Barile, Monica, primary, Giles, Graham G., primary, Baglietto, Laura, primary, John, Esther M., primary, Miron, Alexander, primary, Chanock, Stephen J., primary, Lissowska, Jolanta, primary, Sherman, Mark E., primary, Figueroa, Jonine D., primary, Bogdanova, Natalia V., primary, Antonenkova, Natalia N., primary, Zalutsky, Iosif V., primary, Rogov, Yuri I., primary, Fasching, Peter A., primary, Bayer, Christian M., primary, Ekici, Arif B., primary, Beckmann, Matthias W., primary, Brenner, Hermann, primary, Müller, Heiko, primary, Arndt, Volker, primary, Stegmaier, Christa, primary, Andrulis, Irene L., primary, Knight, Julia A., primary, Glendon, Gord, primary, Mulligan, Anna Marie, primary, Mannermaa, Arto, primary, Kataja, Vesa, primary, Kosma, Veli-Matti, primary, Hartikainen, Jaana M., primary, Meindl, Alfons, primary, Heil, Joerg, primary, Bartram, Claus R., primary, Schmutzler, Rita K., primary, Thomas, Gilles D., primary, Hoover, Robert N., primary, Fletcher, Olivia, primary, Gibson, Lorna J., primary, dos Santos Silva, Isabel, primary, Peto, Julian, primary, Nickels, Stefan, primary, Flesch-Janys, Dieter, primary, Anton-Culver, Hoda, primary, Ziogas, Argyrios, primary, Sawyer, Elinor, primary, Tomlinson, Ian, primary, Kerin, Michael, primary, Miller, Nicola, primary, Schmidt, Marjanka K., primary, Broeks, Annegien, primary, Van ‘t Veer, Laura J., primary, Tollenaar, Rob A.E.M., primary, Pharoah, Paul D.P., primary, Dunning, Alison M., primary, Pooley, Karen A., primary, Marme, Frederik, primary, Schneeweiss, Andreas, primary, Sohn, Christof, primary, Burwinkel, Barbara, primary, Jakubowska, Anna, primary, Lubinski, Jan, primary, Jaworska, Katarzyna, primary, Durda, Katarzyna, primary, Kang, Daehee, primary, Yoo, Keun-Young, primary, Noh, Dong-Young, primary, Ahn, Sei-Hyun, primary, Hunter, David J., primary, Hankinson, Susan E., primary, Kraft, Peter, primary, Lindstrom, Sara, primary, Chen, Xiaoqing, primary, Beesley, Jonathan, primary, Hamann, Ute, primary, Harth, Volker, primary, Justenhoven, Christina, primary, Winqvist, Robert, primary, Pylkäs, Katri, primary, Jukkola-Vuorinen, Arja, primary, Grip, Mervi, primary, Hooning, Maartje, primary, Hollestelle, Antoinette, primary, Oldenburg, Rogier A., primary, Tilanus-Linthorst, Madeleine, primary, Khusnutdinova, Elza, primary, Bermisheva, Marina, primary, Prokofieva, Darya, primary, Farahtdinova, Albina, primary, Olson, Janet E., primary, Wang, Xianshu, primary, Humphreys, Manjeet K., primary, Wang, Qin, primary, Chenevix-Trench, Georgia, primary, and Easton, Douglas F., primary
- Published
- 2023
- Full Text
- View/download PDF
46. Supplementary Table 2 from Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer
- Author
-
Milne, Roger L., primary, Goode, Ellen L., primary, García-Closas, Montserrat, primary, Couch, Fergus J., primary, Severi, Gianluca, primary, Hein, Rebecca, primary, Fredericksen, Zachary, primary, Malats, Núria, primary, Zamora, M. Pilar, primary, Pérez, Jose Ignacio Arias, primary, Benítez, Javier, primary, Dörk, Thilo, primary, Schürmann, Peter, primary, Karstens, Johann H., primary, Hillemanns, Peter, primary, Cox, Angela, primary, Brock, Ian W., primary, Elliot, Graeme, primary, Cross, Simon S., primary, Seal, Sheila, primary, Turnbull, Clare, primary, Renwick, Anthony, primary, Rahman, Nazneen, primary, Shen, Chen-Yang, primary, Yu, Jyh-Cherng, primary, Huang, Chiun-Sheng, primary, Hou, Ming-Feng, primary, Nordestgaard, Børge G., primary, Bojesen, Stig E., primary, Lanng, Charlotte, primary, Alnæs, Grethe Grenaker, primary, Kristensen, Vessela, primary, Børrensen-Dale, Anne-Lise, primary, Hopper, John L., primary, Dite, Gillian S., primary, Apicella, Carmel, primary, Southey, Melissa C., primary, Lambrechts, Diether, primary, Yesilyurt, Betül T., primary, Floris, Giuseppe, primary, Leunen, Karin, primary, Sangrajrang, Suleeporn, primary, Gaborieau, Valerie, primary, Brennan, Paul, primary, McKay, James, primary, Chang-Claude, Jenny, primary, Wang-Gohrke, Shan, primary, Radice, Paolo, primary, Peterlongo, Paolo, primary, Manoukian, Siranoush, primary, Barile, Monica, primary, Giles, Graham G., primary, Baglietto, Laura, primary, John, Esther M., primary, Miron, Alexander, primary, Chanock, Stephen J., primary, Lissowska, Jolanta, primary, Sherman, Mark E., primary, Figueroa, Jonine D., primary, Bogdanova, Natalia V., primary, Antonenkova, Natalia N., primary, Zalutsky, Iosif V., primary, Rogov, Yuri I., primary, Fasching, Peter A., primary, Bayer, Christian M., primary, Ekici, Arif B., primary, Beckmann, Matthias W., primary, Brenner, Hermann, primary, Müller, Heiko, primary, Arndt, Volker, primary, Stegmaier, Christa, primary, Andrulis, Irene L., primary, Knight, Julia A., primary, Glendon, Gord, primary, Mulligan, Anna Marie, primary, Mannermaa, Arto, primary, Kataja, Vesa, primary, Kosma, Veli-Matti, primary, Hartikainen, Jaana M., primary, Meindl, Alfons, primary, Heil, Joerg, primary, Bartram, Claus R., primary, Schmutzler, Rita K., primary, Thomas, Gilles D., primary, Hoover, Robert N., primary, Fletcher, Olivia, primary, Gibson, Lorna J., primary, dos Santos Silva, Isabel, primary, Peto, Julian, primary, Nickels, Stefan, primary, Flesch-Janys, Dieter, primary, Anton-Culver, Hoda, primary, Ziogas, Argyrios, primary, Sawyer, Elinor, primary, Tomlinson, Ian, primary, Kerin, Michael, primary, Miller, Nicola, primary, Schmidt, Marjanka K., primary, Broeks, Annegien, primary, Van ‘t Veer, Laura J., primary, Tollenaar, Rob A.E.M., primary, Pharoah, Paul D.P., primary, Dunning, Alison M., primary, Pooley, Karen A., primary, Marme, Frederik, primary, Schneeweiss, Andreas, primary, Sohn, Christof, primary, Burwinkel, Barbara, primary, Jakubowska, Anna, primary, Lubinski, Jan, primary, Jaworska, Katarzyna, primary, Durda, Katarzyna, primary, Kang, Daehee, primary, Yoo, Keun-Young, primary, Noh, Dong-Young, primary, Ahn, Sei-Hyun, primary, Hunter, David J., primary, Hankinson, Susan E., primary, Kraft, Peter, primary, Lindstrom, Sara, primary, Chen, Xiaoqing, primary, Beesley, Jonathan, primary, Hamann, Ute, primary, Harth, Volker, primary, Justenhoven, Christina, primary, Winqvist, Robert, primary, Pylkäs, Katri, primary, Jukkola-Vuorinen, Arja, primary, Grip, Mervi, primary, Hooning, Maartje, primary, Hollestelle, Antoinette, primary, Oldenburg, Rogier A., primary, Tilanus-Linthorst, Madeleine, primary, Khusnutdinova, Elza, primary, Bermisheva, Marina, primary, Prokofieva, Darya, primary, Farahtdinova, Albina, primary, Olson, Janet E., primary, Wang, Xianshu, primary, Humphreys, Manjeet K., primary, Wang, Qin, primary, Chenevix-Trench, Georgia, primary, and Easton, Douglas F., primary
- Published
- 2023
- Full Text
- View/download PDF
47. Supplementary Table 4 from Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer
- Author
-
Milne, Roger L., primary, Goode, Ellen L., primary, García-Closas, Montserrat, primary, Couch, Fergus J., primary, Severi, Gianluca, primary, Hein, Rebecca, primary, Fredericksen, Zachary, primary, Malats, Núria, primary, Zamora, M. Pilar, primary, Pérez, Jose Ignacio Arias, primary, Benítez, Javier, primary, Dörk, Thilo, primary, Schürmann, Peter, primary, Karstens, Johann H., primary, Hillemanns, Peter, primary, Cox, Angela, primary, Brock, Ian W., primary, Elliot, Graeme, primary, Cross, Simon S., primary, Seal, Sheila, primary, Turnbull, Clare, primary, Renwick, Anthony, primary, Rahman, Nazneen, primary, Shen, Chen-Yang, primary, Yu, Jyh-Cherng, primary, Huang, Chiun-Sheng, primary, Hou, Ming-Feng, primary, Nordestgaard, Børge G., primary, Bojesen, Stig E., primary, Lanng, Charlotte, primary, Alnæs, Grethe Grenaker, primary, Kristensen, Vessela, primary, Børrensen-Dale, Anne-Lise, primary, Hopper, John L., primary, Dite, Gillian S., primary, Apicella, Carmel, primary, Southey, Melissa C., primary, Lambrechts, Diether, primary, Yesilyurt, Betül T., primary, Floris, Giuseppe, primary, Leunen, Karin, primary, Sangrajrang, Suleeporn, primary, Gaborieau, Valerie, primary, Brennan, Paul, primary, McKay, James, primary, Chang-Claude, Jenny, primary, Wang-Gohrke, Shan, primary, Radice, Paolo, primary, Peterlongo, Paolo, primary, Manoukian, Siranoush, primary, Barile, Monica, primary, Giles, Graham G., primary, Baglietto, Laura, primary, John, Esther M., primary, Miron, Alexander, primary, Chanock, Stephen J., primary, Lissowska, Jolanta, primary, Sherman, Mark E., primary, Figueroa, Jonine D., primary, Bogdanova, Natalia V., primary, Antonenkova, Natalia N., primary, Zalutsky, Iosif V., primary, Rogov, Yuri I., primary, Fasching, Peter A., primary, Bayer, Christian M., primary, Ekici, Arif B., primary, Beckmann, Matthias W., primary, Brenner, Hermann, primary, Müller, Heiko, primary, Arndt, Volker, primary, Stegmaier, Christa, primary, Andrulis, Irene L., primary, Knight, Julia A., primary, Glendon, Gord, primary, Mulligan, Anna Marie, primary, Mannermaa, Arto, primary, Kataja, Vesa, primary, Kosma, Veli-Matti, primary, Hartikainen, Jaana M., primary, Meindl, Alfons, primary, Heil, Joerg, primary, Bartram, Claus R., primary, Schmutzler, Rita K., primary, Thomas, Gilles D., primary, Hoover, Robert N., primary, Fletcher, Olivia, primary, Gibson, Lorna J., primary, dos Santos Silva, Isabel, primary, Peto, Julian, primary, Nickels, Stefan, primary, Flesch-Janys, Dieter, primary, Anton-Culver, Hoda, primary, Ziogas, Argyrios, primary, Sawyer, Elinor, primary, Tomlinson, Ian, primary, Kerin, Michael, primary, Miller, Nicola, primary, Schmidt, Marjanka K., primary, Broeks, Annegien, primary, Van ‘t Veer, Laura J., primary, Tollenaar, Rob A.E.M., primary, Pharoah, Paul D.P., primary, Dunning, Alison M., primary, Pooley, Karen A., primary, Marme, Frederik, primary, Schneeweiss, Andreas, primary, Sohn, Christof, primary, Burwinkel, Barbara, primary, Jakubowska, Anna, primary, Lubinski, Jan, primary, Jaworska, Katarzyna, primary, Durda, Katarzyna, primary, Kang, Daehee, primary, Yoo, Keun-Young, primary, Noh, Dong-Young, primary, Ahn, Sei-Hyun, primary, Hunter, David J., primary, Hankinson, Susan E., primary, Kraft, Peter, primary, Lindstrom, Sara, primary, Chen, Xiaoqing, primary, Beesley, Jonathan, primary, Hamann, Ute, primary, Harth, Volker, primary, Justenhoven, Christina, primary, Winqvist, Robert, primary, Pylkäs, Katri, primary, Jukkola-Vuorinen, Arja, primary, Grip, Mervi, primary, Hooning, Maartje, primary, Hollestelle, Antoinette, primary, Oldenburg, Rogier A., primary, Tilanus-Linthorst, Madeleine, primary, Khusnutdinova, Elza, primary, Bermisheva, Marina, primary, Prokofieva, Darya, primary, Farahtdinova, Albina, primary, Olson, Janet E., primary, Wang, Xianshu, primary, Humphreys, Manjeet K., primary, Wang, Qin, primary, Chenevix-Trench, Georgia, primary, and Easton, Douglas F., primary
- Published
- 2023
- Full Text
- View/download PDF
48. Validation of an abridged breast cancer risk prediction model for the general population
- Author
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Spaeth, Erika L., primary, Dite, Gillian S., additional, Hopper, John L., additional, and Allman, Richard, additional
- Published
- 2023
- Full Text
- View/download PDF
49. Causal relationships between breast cancer mammogram risk scores based on textural features and density
- Author
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Ye, Zhoufeng, primary, Nguyen, Tuong L., additional, Dite, Gillian S., additional, MacInnis, Robert J., additional, Schmidt, Daniel F., additional, Makalic, Enes, additional, Al-Qershi, Osamah M., additional, Bui, Minh, additional, Esser, Vivienne F.C., additional, Dowty, James G., additional, Trinh, Ho N., additional, Evans, Christopher F., additional, Tan, Maxine, additional, Sung, Joohon, additional, Jenkins, Mark A., additional, Giles, Graham G., additional, Southey, Melissa C., additional, Hopper, John L., additional, and Li, Shuai, additional
- Published
- 2023
- Full Text
- View/download PDF
50. Improvement of a clinical colorectal cancer risk prediction model integrating polygenic risk.
- Author
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Spaeth Tuff, Erika Leigh, primary, Gafni, Aviv, additional, Dite, Gillian S., additional, and Allman, Richard, additional
- Published
- 2023
- Full Text
- View/download PDF
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