Author: "Milne R.L." - Searchworks@Jio Institute Digital Library Search Results

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571 results on '"Milne R.L."'

1. The age-dependent association of risk factors with pancreatic cancer

Author: Amundadottir, L.T., Ardanaz, E., Arslan, A.A., Beane-Freeman, L.E., Bracci, P.M., Bueno-de-Mesquita, B., Du, M., Gallinger, S., Giles, G.G., Goodman, P.J., Katzke, V.A., Klein, A.P., Kooperberg, C., Kraft, P., Li, D., Malats, N., Marchand, L.L., McCullough, M.L., Milne, R.L., Neoptolemos, J.P., Perdomo, S., Petersen, G.M., Risch, H.A., Shu, X.O., Stolzenberg-Solomon, R.Z., Van Den Eeden, S.K., Visvanathan, K., White, E., Wolpin, B.M., Zheng, W., Yuan, C., Kim, J., Wang, Q.L., Lee, A.A., Babic, A., Perez, K., Ng, K., Giovannucci, E.L., and Stampfer, M.J.
Published: 2022
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2. Evolving Practice Pattern of Palliative Radiation Therapy for Bone Metastases from Lung Cancer in Australia

Author: Ong, W.L., Ball, D.L., Milne, R.L., Foroudi, F., and Millar, J.L.
Published: 2021
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3. Analgesic use and the risk of renal cell carcinoma – Findings from the Consortium for the Investigation of Renal Malignancies (CONFIRM) study

Author: Bruinsma, F.J., Jordan, S., Bassett, J.K., Severi, G., MacInnis, R.J., Walsh, J., Aitken, T., Jenkins, M., Carroll, R., Jefford, M., Davis, I.D., Tucker, K., Dudding-Byth, T., English, D.R., Giles, G.G., Winship, I., and Milne, R.L.
Published: 2021
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4. Timing of HPV16-E6 antibody seroconversion before OPSCC: findings from the HPVC3 consortium

Author: Kreimer, A.R., Ferreiro-Iglesias, A., Nygard, M., Bender, N., Schroeder, L., Hildesheim, A., Robbins, H.A., Pawlita, M., Langseth, H., Schlecht, N.F., Tinker, L.F., Agalliu, I., Smoller, S.W., Ness-Jensen, E., Hveem, K., D’Souza, G., Visvanathan, K., May, B., Ursin, G., Weiderpass, E., Giles, G.G., Milne, R.L., Cai, Q., Blot, W.J., Zheng, W., Weinstein, S.J., Albanes, D., Brenner, N., Hoffman-Bolton, J., Kaaks, R., Barricarte, A., Tjønneland, A., Sacerdote, C., Trichopoulou, A., Vermeulen, R.C.H., Huang, W.-Y., Freedman, N.D., Brennan, P., Waterboer, T., and Johansson, M.
Published: 2019
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5. Risk of uterine cancer for BRCA1 and BRCA2 mutation carriers

Author: Lee, Y.C., Milne, R.L., Lheureux, S., Friedlander, M., McLachlan, S.A., Martin, K.L., Bernardini, M.Q., Smith, C., Picken, S., Nesci, S., Hopper, J.L., and Phillips, K.A.
Published: 2017
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6. Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis.

Author: Fu, Z., Brooks, M.M., Irvin, S., Jordan, S., Aben, K.K.H., Anton-Culver, H., Bandera, E.V., Beckmann, M.W., Berchuck, A., Brooks-Wilson, A., Chang-Claude, J., Cook, L.S., Cramer, D.W, Cushing-Haugen, K.L., Doherty, J.A., Ekici, A.B., Fasching, P.A., Fortner, R.T., Gayther, S.A., Gentry-Maharaj, A., Giles, G.G., Goode, E.L., Goodman, M.T., Harris, H.R., Hein, A., Kaaks, R., Kiemeney, L.A., Köbel, M., Kotsopoulos, J., Le, N.D., Lee, A.W.C., Matsuo, K., McGuire, V., McLaughlin, J.R., Menon, U., Milne, R.L., Moysich, K.B., Pearce, C.L., Pike, M.C., Qin, B., Ramus, S.J., Riggan, M.J., Rothstein, J.H., Schildkraut, J.M., Sieh, W., Sutphen, R., Terry, K.L., Thompson, P.J., Titus, L., Altena, A.M. van, White, E., Whittemore, A.S., Wu, A.H., Zheng, W., Ziogas, Argyrios, Taylor, S.E., Tang, L., Songer, T., Wentzensen, N., Webb, P.M., Risch, H.A., Modugno, F., Fu, Z., Brooks, M.M., Irvin, S., Jordan, S., Aben, K.K.H., Anton-Culver, H., Bandera, E.V., Beckmann, M.W., Berchuck, A., Brooks-Wilson, A., Chang-Claude, J., Cook, L.S., Cramer, D.W, Cushing-Haugen, K.L., Doherty, J.A., Ekici, A.B., Fasching, P.A., Fortner, R.T., Gayther, S.A., Gentry-Maharaj, A., Giles, G.G., Goode, E.L., Goodman, M.T., Harris, H.R., Hein, A., Kaaks, R., Kiemeney, L.A., Köbel, M., Kotsopoulos, J., Le, N.D., Lee, A.W.C., Matsuo, K., McGuire, V., McLaughlin, J.R., Menon, U., Milne, R.L., Moysich, K.B., Pearce, C.L., Pike, M.C., Qin, B., Ramus, S.J., Riggan, M.J., Rothstein, J.H., Schildkraut, J.M., Sieh, W., Sutphen, R., Terry, K.L., Thompson, P.J., Titus, L., Altena, A.M. van, White, E., Whittemore, A.S., Wu, A.H., Zheng, W., Ziogas, Argyrios, Taylor, S.E., Tang, L., Songer, T., Wentzensen, N., Webb, P.M., Risch, H.A., and Modugno, F.
Abstract: Item does not contain fulltext, BACKGROUND: The role of ovulation in epithelial ovarian cancer (EOC) is supported by the consistent protective effects of parity and oral contraceptive use. Whether these factors protect through anovulation alone remains unclear. We explored the association between lifetime ovulatory years (LOY) and EOC. METHODS: LOY was calculated using 12 algorithms. Odds ratios (ORs) and 95% confidence intervals (CIs) estimated the association between LOY or LOY components and EOC among 26 204 control participants and 21 267 case patients from 25 studies. To assess whether LOY components act through ovulation suppression alone, we compared beta coefficients obtained from regression models with expected estimates assuming 1 year of ovulation suppression has the same effect regardless of source. RESULTS: LOY was associated with increased EOC risk (OR per year increase = 1.014, 95% CI = 1.009 to 1.020 to OR per year increase = 1.044, 95% CI = 1.041 to 1.048). Individual LOY components, except age at menarche, also associated with EOC. The estimated model coefficient for oral contraceptive use and pregnancies were 4.45 times and 12- to 15-fold greater than expected, respectively. LOY was associated with high-grade serous, low-grade serous, endometrioid, and clear cell histotypes (ORs per year increase = 1.054, 1.040, 1.065, and 1.098, respectively) but not mucinous tumors. Estimated coefficients of LOY components were close to expected estimates for high-grade serous but larger than expected for low-grade serous, endometrioid, and clear cell histotypes. CONCLUSIONS: LOY is positively associated with nonmucinous EOC. Differences between estimated and expected model coefficients for LOY components suggest factors beyond ovulation underlie the associations between LOY components and EOC in general and for non-HGSOC.
Published: 2023

7. Genome-wide Association Study of Bladder Cancer Reveals New Biological and Translational Insights.

Author: Koutros, S., Kiemeney, L.A., Pal Choudhury, P., Milne, R.L., Lopez de Maturana, E., Ye, Y., Joseph, V., Florez-Vargas, O., Dyrskjøt, L., Figueroa, J., Dutta, D., Giles, G.G., Hildebrandt, M.A.T., Offit, K., Kogevinas, M., Weiderpass, E., McCullough, M.L., Freedman, N.D., Albanes, D., Kooperberg, C., Cortessis, V.K., Karagas, M.R., Johnson, A., Schwenn, M.R., Baris, D., Furberg, H., Bajorin, D.F., Cussenot, O., Cancel-Tassin, G., Benhamou, S., Kraft, P., Porru, S., Carta, A., Bishop, T., Southey, M.C., Matullo, G., Fletcher, T., Kumar, R., Taylor, J.A., Lamy, P., Prip, F., Kalisz, M., Weinstein, S.J., Hengstler, J.G., Selinski, S., Harland, M., Teo, M., Kiltie, A.E., Tardón, A., Serra, C., Carrato, A., García-Closas, R., Lloreta, J., Schned, A., Lenz, P., Riboli, E., Brennan, P., Tjønneland, A., Otto, T., Ovsiannikov, D., Volkert, F., Vermeulen, S.H., Aben, K.K.H., Galesloot, T.E., Turman, C., Vivo, I. De, Giovannucci, E., Hunter, D.J., Hohensee, C., Hunt, R., Patel, A.V., Huang, W.Y., Thorleifsson, G., Gago-Dominguez, M., Amiano, P., Golka, K., Stern, M.C., Yan, W., Liu, J., Li, S.A., Katta, S., Hutchinson, A., Hicks, B., Wheeler, W.A., Purdue, M.P., McGlynn, K.A., Kitahara, C.M., Haiman, C.A., Greene, M.H., Rafnar, T., Chatterjee, N., Chanock, S.J., Wu, X., Real, F.X., Silverman, D.T., Garcia-Closas, M., Stefansson, K., Prokunina-Olsson, L., Malats, N., Rothman, N., Koutros, S., Kiemeney, L.A., Pal Choudhury, P., Milne, R.L., Lopez de Maturana, E., Ye, Y., Joseph, V., Florez-Vargas, O., Dyrskjøt, L., Figueroa, J., Dutta, D., Giles, G.G., Hildebrandt, M.A.T., Offit, K., Kogevinas, M., Weiderpass, E., McCullough, M.L., Freedman, N.D., Albanes, D., Kooperberg, C., Cortessis, V.K., Karagas, M.R., Johnson, A., Schwenn, M.R., Baris, D., Furberg, H., Bajorin, D.F., Cussenot, O., Cancel-Tassin, G., Benhamou, S., Kraft, P., Porru, S., Carta, A., Bishop, T., Southey, M.C., Matullo, G., Fletcher, T., Kumar, R., Taylor, J.A., Lamy, P., Prip, F., Kalisz, M., Weinstein, S.J., Hengstler, J.G., Selinski, S., Harland, M., Teo, M., Kiltie, A.E., Tardón, A., Serra, C., Carrato, A., García-Closas, R., Lloreta, J., Schned, A., Lenz, P., Riboli, E., Brennan, P., Tjønneland, A., Otto, T., Ovsiannikov, D., Volkert, F., Vermeulen, S.H., Aben, K.K.H., Galesloot, T.E., Turman, C., Vivo, I. De, Giovannucci, E., Hunter, D.J., Hohensee, C., Hunt, R., Patel, A.V., Huang, W.Y., Thorleifsson, G., Gago-Dominguez, M., Amiano, P., Golka, K., Stern, M.C., Yan, W., Liu, J., Li, S.A., Katta, S., Hutchinson, A., Hicks, B., Wheeler, W.A., Purdue, M.P., McGlynn, K.A., Kitahara, C.M., Haiman, C.A., Greene, M.H., Rafnar, T., Chatterjee, N., Chanock, S.J., Wu, X., Real, F.X., Silverman, D.T., Garcia-Closas, M., Stefansson, K., Prokunina-Olsson, L., Malats, N., and Rothman, N.
Abstract: 01 juli 2023, Item does not contain fulltext, BACKGROUND: Genomic regions identified by genome-wide association studies (GWAS) for bladder cancer risk provide new insights into etiology. OBJECTIVE: To identify new susceptibility variants for bladder cancer in a meta-analysis of new and existing genome-wide genotype data. DESIGN, SETTING, AND PARTICIPANTS: Data from 32 studies that includes 13,790 bladder cancer cases and 343,502 controls of European ancestry were used for meta-analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSES: Log-additive associations of genetic variants were assessed using logistic regression models. A fixed-effects model was used for meta-analysis of the results. Stratified analyses were conducted to evaluate effect modification by sex and smoking status. A polygenic risk score (PRS) was generated on the basis of known and novel susceptibility variants and tested for interaction with smoking. RESULTS AND LIMITATIONS: Multiple novel bladder cancer susceptibility loci (6p.22.3, 7q36.3, 8q21.13, 9p21.3, 10q22.1, 19q13.33) as well as improved signals in three known regions (4p16.3, 5p15.33, 11p15.5) were identified, bringing the number of independent markers at genome-wide significance (p < 5 × 10(-8)) to 24. The 4p16.3 (FGFR3/TACC3) locus was associated with a stronger risk for women than for men (p-interaction = 0.002). Bladder cancer risk was increased by interactions between smoking status and genetic variants at 8p22 (NAT2; multiplicative p value for interaction [p(M-I)] = 0.004), 8q21.13 (PAG1; p(M-I) = 0.01), and 9p21.3 (LOC107987026/MTAP/CDKN2A; p(M-I) = 0.02). The PRS based on the 24 independent GWAS markers (odds ratio per standard deviation increase 1.49, 95% confidence interval 1.44-1.53), which also showed comparable results in two prospective cohorts (UK Biobank, PLCO trial), revealed an approximately fourfold difference in the lifetime risk of bladder cancer according to the PRS (e.g., 1st vs 10th decile) for both smokers and nonsmokers. CONCLUSIONS: We report novel loci ass
Published: 2023

8. Associations of height, body mass index, and weight gain with breast cancer risk in carriers of a pathogenic variant in BRCA1 or BRCA2: the BRCA1 and BRCA2 Cohort Consortium.

Author: Kast, K., John, E.M., Hopper, J.L., Andrieu, N., Noguès, C., Mouret-Fourme, E., Lasset, C., Fricker, J.P., Berthet, Pascaline, Mari, V., Salle, L., Schmidt, M.K., Ausems, M.G.E.M., Garcia, E.B.G., Beek, I. van de, Wevers, M.R., Evans, D.G., Tischkowitz, M., Lalloo, F., Cook, J., Izatt, L., Tripathi, V., Snape, K., Musgrave, H., Sharif, S., Murray, J., Colonna, S.V., Andrulis, I.L., Daly, M.B., Southey, M.C., Hoya, M. de la, Osorio, A., Foretova, L., Berkova, D., Gerdes, A.M., Olah, E., Jakubowska, A., Singer, C.F., Tan, Yen, Augustinsson, A., Rantala, J., Simard, J., Schmutzler, R.K., Milne, R.L., Phillips, K.A., Terry, M.B., Goldgar, D., Leeuwen, F.E. van, Mooij, T.M., Antoniou, A.C., Easton, D.F., Rookus, M.A., Engel, C., Kast, K., John, E.M., Hopper, J.L., Andrieu, N., Noguès, C., Mouret-Fourme, E., Lasset, C., Fricker, J.P., Berthet, Pascaline, Mari, V., Salle, L., Schmidt, M.K., Ausems, M.G.E.M., Garcia, E.B.G., Beek, I. van de, Wevers, M.R., Evans, D.G., Tischkowitz, M., Lalloo, F., Cook, J., Izatt, L., Tripathi, V., Snape, K., Musgrave, H., Sharif, S., Murray, J., Colonna, S.V., Andrulis, I.L., Daly, M.B., Southey, M.C., Hoya, M. de la, Osorio, A., Foretova, L., Berkova, D., Gerdes, A.M., Olah, E., Jakubowska, A., Singer, C.F., Tan, Yen, Augustinsson, A., Rantala, J., Simard, J., Schmutzler, R.K., Milne, R.L., Phillips, K.A., Terry, M.B., Goldgar, D., Leeuwen, F.E. van, Mooij, T.M., Antoniou, A.C., Easton, D.F., Rookus, M.A., and Engel, C.
Abstract: Item does not contain fulltext, INTRODUCTION: Height, body mass index (BMI), and weight gain are associated with breast cancer risk in the general population. It is unclear whether these associations also exist for carriers of pathogenic variants in the BRCA1 or BRCA2 genes. PATIENTS AND METHODS: An international pooled cohort of 8091 BRCA1/2 variant carriers was used for retrospective and prospective analyses separately for premenopausal and postmenopausal women. Cox regression was used to estimate breast cancer risk associations with height, BMI, and weight change. RESULTS: In the retrospective analysis, taller height was associated with risk of premenopausal breast cancer for BRCA2 variant carriers (HR 1.20 per 10 cm increase, 95% CI 1.04-1.38). Higher young-adult BMI was associated with lower premenopausal breast cancer risk for both BRCA1 (HR 0.75 per 5 kg/m(2), 95% CI 0.66-0.84) and BRCA2 (HR 0.76, 95% CI 0.65-0.89) variant carriers in the retrospective analysis, with consistent, though not statistically significant, findings from the prospective analysis. In the prospective analysis, higher BMI and adult weight gain were associated with higher postmenopausal breast cancer risk for BRCA1 carriers (HR 1.20 per 5 kg/m(2), 95% CI 1.02-1.42; and HR 1.10 per 5 kg weight gain, 95% CI 1.01-1.19, respectively). CONCLUSION: Anthropometric measures are associated with breast cancer risk for BRCA1 and BRCA2 variant carriers, with relative risk estimates that are generally consistent with those for women from the general population.
Published: 2023

9. MA11.05 The Blood Proteome of Imminent Lung Cancer

Author: Zahed, H., primary, Smith-Byrne, K., additional, Alcala, K., additional, Guida, F., additional, Johansson, M., additional, Stevens, V., additional, Langhammer, A., additional, Milne, R.L., additional, Yuan, J.-M., additional, and Robbins, H.A., additional
Published: 2022
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10. P1.01-01 Comparison between Protein and Autoantibody Biomarkers for the Early Detection of Lung Cancer

Author: Feng, X., primary, Wu, W.Y.-Y., additional, Onwuka, J., additional, Alcala, K., additional, Smith-Byrne, K., additional, Zahed, H., additional, Guida, F., additional, Yuan, J.-M., additional, Wang, R., additional, Milne, R.L., additional, Bassett, J., additional, Langhammer, A., additional, Hveem, K., additional, Stevens, V.L., additional, Wang, Y., additional, Brennan, P., additional, Melin, B., additional, Johansson, M., additional, and Robbins, H.A., additional
Published: 2022
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11. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

Author: Coignard, J. (Juliette), Lush, M. (Michael), Beesley, J. (Jonathan), O’Mara, T.A. (Tracy A.), Dennis, J. (Joe), Tyrer, J.P. (Jonathan P.), Barnes, D. (Daniel), McGuffog, L. (Lesley), Leslie, G. (Goska), Bolla, M.K. (Manjeet K.), Adank, M.A. (Muriel), Agata, S. (Simona), Ahearn, T. (Thomas), Aittomäki, K. (Kristiina), Andrulis, I.L. (Irene L.), Anton-Culver, H. (Hoda), Arndt, V. (Volker), Arnold, N. (Norbert), Aronson, K.J. (Kristan J.), Arun, B.K. (Banu), Augustinsson, A. (Annelie), Azzollini, J., Barrowdale, D. (Daniel), Baynes, C. (Caroline), Becher, H. (Heko), Bermisheva, M. (Marina), Bernstein, L. (Leslie), Białkowska, K. (Katarzyna), Blomqvist, C. (Carl), Bojesen, S.E. (Stig), Bonnani, B. (Bernardo), Borg, Å. (Åke), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Burwinkel, B. (Barbara), Buys, S.S. (Saundra S.), Caldes, T. (Trinidad), Caligo, M.A. (Maria A.), Campa, D. (Daniele), Carter, B.D. (Brian D.), Castelao, J.E. (Jose ), Chang-Claude, J. (Jenny), Chanock, S.J. (Stephen J.), Chung, W.K. (Wendy K.), Claes, K.B.M. (Kathleen B. M.), Clarke, C.L. (Christine L.), Bertrand, O. (Ophélie), Caputo, S. (Sandrine), Dupré, A. (Anaïs), Le Mentec, M. (Marine), Belotti, M. (Muriel), Birot, A.-M. (Anne-Marie), Buecher, B. (Bruno), Fourme, E. (Emmanuelle), Gauthier-Villars, M. (Marion), Golmard, L. (Lisa), Houdayer, C. (Claude), Moncoutier, V. (Virginie), de Pauw, A. (Antoine), Saule, C. (Claire), Sinilnikova, O. (Olga), Mazoyer, S. (Sylvie), Damiola, F. (Francesca), Barjhoux, L. (Laure), Verny-Pierre, C. (Carole), Léone, M. (Mélanie), Boutry-Kryza, N. (N.), Calender, A. (Alain), Giraud, S. (Sophie), Caron, O. (Olivier), Guillaud-Bataille, M. (Marine), Bressac-de Paillerets, B. (Brigitte), Bignon, Y.-J. (Yves-Jean), Uhrhammer, N. (Nancy), Lasset, C. (Christine), Bonadona, V. (Valérie), Berthet, P. (Pascaline), Vaur, D. (Dominique), Castera, L. (Laurent), Noguchi, T. (Tetsuro), Popovici, C. (Cornel), Sobol, H. (Hagay), Bourdon, V. (Violaine), Remenieras, A. (Audrey), Nogues, C. (Catherine), Coupier, I. (Isabelle), Pujol, P. (Pascal), Dumont, A. (Aurélie), Révillion, F. (Françoise), Adenis, C. (Claude), Muller, D.W. (Danièle), Barouk-Simonet, E. (Emmanuelle), Bonnet, F. (Françoise), Bubien, V. (Virginie), Sevenet, N. (Nicolas), Longy, M. (Michel), Toulas, C. (Christine), Guimbaud, R. (Rosine), Gladieff, L. (Laurence), Feillel, V. (Viviane), Leroux, D. (Dominique), Dreyfus, H. (Hélène), Rebischung, C. (Christine), Peysselon, M. (Magalie), Coron, F. (Fanny), Faivre, L. (Laurence), Baurand, A. (Amandine), Jacquot, C. (Caroline), Bertolone, G. (Geoffrey), Lizard, S. (Sarab), Prieur, F. (Fabienne), Lebrun, M. (Marine), Kientz, C. (Caroline), Ferrer, S.F., Mari, V. (Véronique), Vénat-Bouvet, L. (Laurence), Delnatte, C. (Capucine), Bézieau, S. (Stéphane), Mortemousque, I. (Isabelle), Coulet, F. (Florence), Colas, C. (Chrystelle), Soubrier, F. (Florent), Warcoin, M. (Mathilde), Sokolowska, J. (Johanna), Bronner, M. (Myriam), Collonge-Rame, M.-A., Damette, A. (Alexandre), Gesta, P. (Paul), Lallaoui, H. (Hakima), Chiesa, J. (Jean), Molina-Gomes, D. (Denise), Ingster, O. (Olivier), Gregory, H. (Helen), Miedzybrodzka, Z. (Zosia), Morrison, P.J. (Patrick J.), Ong, K.-R. (Kai-ren), Donaldson, A. (Alan), Rogers, M.T. (Mark), Kennedy, M.J. (M. John), Porteous, M.E. (Mary), Brewer, C. (Carole), Davidson, R. (Rosemarie), Izatt, L. (Louise), Brady, A. (A.), Barwell, J. (Julian), Adlard, J.W. (Julian), Foo, C. (Claire), Lalloo, F. (Fiona), Side, L.E. (Lucy E.), Eason, J. (Jacqueline), Henderson, A. (Alex), Walker, L. (Lisa), Eeles, R. (Rosalind), Cook, J. (Jackie), Snape, K. (Katie), Eccles, D. (Diana), Murray, A. (Alexandra), McCann, E. (Emma), Collée, J.M. (J. Margriet), Conroy, D.M. (Don M.), Czene, K. (Kamila), Daly, M.B. (Mary B.), Devilee, P. (Peter), Diez, O. (Orland), Ding, Y.C. (Yuan Chun), Domchek, S.M. (Susan), Dörk, T. (Thilo), Santos Silva, I. (Isabel) dos, Dunning, A.M. (Alison M.), Dwek, M. (Miriam), Eccles, D.M. (Diana M.), Eliassen, A.H. (A. Heather), Engel, C. (Christoph), Eriksson, M. (Mikael), Evans, D.G. (D. Gareth), Fasching, P.A. (Peter), Flyger, H. (Henrik), Fostira, F. (Florentia), Friedman, E. (Eitan), Fritschi, L. (Lin), Frost, D. (Debra), Gago-Dominguez, M. (Manuela), Gapstur, S.M. (Susan M.), Garber, J. (Judy), Garcia-Barberan, V. (Vanesa), García-Closas, M. (Montserrat), García-Sáenz, J.A. (José A.), Gaudet, M.M. (Mia M.), Gayther, S.A. (Simon), Gehrig, A. (Andrea), Georgoulias, V. (Vassilios), Giles, G.G. (Graham G.), Godwin, A.K. (Andrew K.), Goldberg, M.S. (Mark), Radice, P. (Paolo), González-Neira, A. (Anna), Greene, M.H. (Mark H.), Guénel, P. (Pascal), Haeberle, L. (Lothar), Hahnen, E. (Eric), Haiman, C.A. (Christopher), Håkansson, N. (Niclas), Hall, P. (Per), Hamann, U. (Ute), Harrington, P.A. (Patricia A.), Hart, S.N. (Steven N.), He, W. (Wei), Hogervorst, F.B.L. (Frans B. L.), Hollestelle, A. (Antoinette), Hopper, J.L. (John), Horcasitas, D.J. (Darling J.), Hulick, P.J. (Peter J.), Hunter, D.J. (David J.), Imyanitov, E.N. (Evgeny), Fox, S.B. (Stephen), Campbell, I. (Ian), Spurdle, A. (Amanda), Webb, P. (Penny), De Fazio, A. (Anna), Tassell, M. (Margaret), Kirk, J. (Judy), Lindeman, G.J. (Geoffrey), Price, M. (Melanie), Southey, M.C. (Melissa), Milne, R.L. (Roger), Deb, S. (Sid), Bowtell, D. (David), Hout, A.H. (Annemarie) van der, Ouweland, A.M.W. (Ans) van den, Mensenkamp, A.R. (Arjen R.), Deurzen, C.H.M. (Carolien) van, Kets, C.M. (Marleen), Seynaeve, C.M. (Caroline), van Asperen, C.J. (Christi J.), Aalfs, C.M. (Cora), Gómez Garcia, E.B. (Encarna B.), Leeuwen, F.E. (Flora) van, Bock, G.H. (Geertruida) de, Meijers-Heijboer, E.J. (Hanne), Obdeijn, A.I.M. (Inge-Marie), Gille, J.J.P. (J. J.P.), Oosterwijk, J.C. (Jan), Wijnen, J.T. (Juul), Kolk, L.E. (Lizet) van der, Hooning, M.J. (Maartje), Ausems, M.G.E.M. (Margreet), Mourits, M.J. (Marjan), Blok, M.J. (Marinus J.), Rookus, M.A. (Matti), van der Luijt, R.B. (Rob B.), Cronenburg, T.C.T.E.F. van, Pol, C. (Carmen) van der, Russell, N.S. (Nicola), Siesling, S. (Sabine), Overbeek, L.I.H. (Lucy), Wijnands, R. (R.), Lange, J.L. (J.) de, Clarke, C. (Christine), Graham, D. (Dinny), Sachchithananthan, M. (Mythily), Marsh, D. (Deborah), Scott, R.J. (Rodney), Baxter, R. (Robert), Yip, D. (Desmond), Carpenter, T.A. (Adrian), Davis, A. (Alison), Pathmanathan, N. (Nirmala), Simpson, P. (Peter), Jager, A. (Agnes), Jakubowska, A. (Anna), James, M. (Margaret), Jensen, U.B. (Uffe Birk), John, E.M. (Esther), Jones, M.E. (Michael E.), Kaaks, R. (Rudolf), Kapoor, P.M. (Pooja Middha), Karlan, B.Y. (Beth), Keeman, R. (Renske), Khusnutdinova, E.K. (Elza), Kiiski, J.I. (Johanna I.), Ko, Y.-D. (Yon-Dschun), Kosma, V.-M. (Veli-Matti), Kraft, P. (Peter), Kurian, A.W. (Allison W.), Laitman, Y. (Yael), Lambrechts, D. (Diether), Le Marchand, L. (Loic), Lester, J. (Jenny), Lesueur, F. (Fabienne), Lindstrom, T. (Tricia), Lopez-Fernández, A. (Adria), Loud, J.T. (Jennifer T.), Luccarini, C. (Craig), Mannermaa, A. (Arto), Manoukian, S. (Siranoush), Margolin, S. (Sara), Martens, J.W.M. (John), Mebirouk, N. (Noura), Meindl, A. (Alfons), Miller, A. (Austin), Milne, R.L. (Roger L.), Montagna, M. (Marco), Nathanson, K.L. (Katherine), Floris, O.A.M., Nevanlinna, H. (Heli), Nielsen, F.C. (Finn C.), O’Brien, K.M. (Katie M.), Olopade, O.I. (Olofunmilayo), Olson, J.E. (Janet), Olsson, H. (Håkan), Osorio, A. (Ana), Ottini, L. (Laura), Park-Simon, T.-W. (Tjoung-Won), Parsons, M. (Marilyn), Pedersen, I.S. (Inge Sokilde), Peshkin, B. (Beth), Peterlongo, P. (Paolo), Peto, J. (Julian), Pharoah, P.D.P. (Paul), Phillips, K.-A. (Kelly-Anne), Polley, E.C. (Eric C.), Poppe, B. (Bruce), Presneau, N. (Nadege), Pujana, M.A. (Miquel Angel), Punie, K. (Kevin), Rantala, J. (Johanna), Rashid, M.U. (Muhammad), Rennert, G. (Gad), Rennert, H.S. (Hedy S.), Robson, M. (Mark), Romero, A. (Atocha), Rossing, M. (Maria), Saloustros, E. (Emmanouil), Sandler, D.P. (Dale P.), Santella, R.M. (Regina), Scheuner, M.T. (Maren T.), Schmidt, M.K. (Marjanka K.), Schmidt, G. (Gunnar), Scott, C. (Christopher), Sharma, P. (Priyanka), Soucy, P. (Penny), Southey, M.C. (Melissa C.), Spinelli, J.J. (John J.), Steinsnyder, Z. (Zoe), Stone, J. (Jennifer), Stoppa-Lyonnet, D. (Dominique), Swerdlow, A.J. (Anthony ), Tamimi, R. (Rulla), Tapper, W.J. (William J.), Taylor, J.A. (Jack A.), Terry, M.B. (Mary Beth), Teulé, A. (Alex), Thull, D.L. (Darcy L.), Tischkowitz, M. (Marc), Toland, A.E. (Amanda), Torres, D. (Diana), Trainer, A.H. (Alison H.), Truong, T. (Thérèse), Tung, N. (Nadine), Vachon, C. (Celine), Vega, A. (Ana), Joseph, V. (Vijai), Wang, Q. (Qin), Wappenschmidt, B. (Barbara), Weinberg, C.R. (Clarice R.), Weitzel, J.N. (Jeffrey), Wendt, C. (Camilla), Wolk, K. (Kerstin), Yadav, S. (Siddhartha), Yang, X.R. (Xiaohong R.), Yannoukakos, D. (Drakoulis), Zheng, W. (Wei), Ziogas, A. (Argyrios), Zorn, K.K. (Kristin K.), Park, S.K. (Sue K.), Thomassen, M. (Mads), Offit, K. (Kenneth), Schmutzler, R.K. (Rita), Couch, F.J. (Fergus), Simard, J. (Jacques), Chenevix-Trench, G. (Georgia), Adamo, P. (Pio) d', Andrieu, N. (Nadine), Antoniou, A.C. (Antonis C.), Coignard, J. (Juliette), Lush, M. (Michael), Beesley, J. (Jonathan), O’Mara, T.A. (Tracy A.), Dennis, J. (Joe), Tyrer, J.P. (Jonathan P.), Barnes, D. (Daniel), McGuffog, L. (Lesley), Leslie, G. (Goska), Bolla, M.K. (Manjeet K.), Adank, M.A. (Muriel), Agata, S. (Simona), Ahearn, T. (Thomas), Aittomäki, K. (Kristiina), Andrulis, I.L. (Irene L.), Anton-Culver, H. (Hoda), Arndt, V. (Volker), Arnold, N. (Norbert), Aronson, K.J. (Kristan J.), Arun, B.K. (Banu), Augustinsson, A. (Annelie), Azzollini, J., Barrowdale, D. (Daniel), Baynes, C. (Caroline), Becher, H. (Heko), Bermisheva, M. (Marina), Bernstein, L. (Leslie), Białkowska, K. (Katarzyna), Blomqvist, C. (Carl), Bojesen, S.E. (Stig), Bonnani, B. (Bernardo), Borg, Å. (Åke), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Burwinkel, B. (Barbara), Buys, S.S. (Saundra S.), Caldes, T. (Trinidad), Caligo, M.A. (Maria A.), Campa, D. (Daniele), Carter, B.D. (Brian D.), Castelao, J.E. (Jose ), Chang-Claude, J. (Jenny), Chanock, S.J. (Stephen J.), Chung, W.K. (Wendy K.), Claes, K.B.M. (Kathleen B. M.), Clarke, C.L. (Christine L.), Bertrand, O. (Ophélie), Caputo, S. (Sandrine), Dupré, A. (Anaïs), Le Mentec, M. (Marine), Belotti, M. (Muriel), Birot, A.-M. (Anne-Marie), Buecher, B. (Bruno), Fourme, E. (Emmanuelle), Gauthier-Villars, M. (Marion), Golmard, L. (Lisa), Houdayer, C. (Claude), Moncoutier, V. (Virginie), de Pauw, A. (Antoine), Saule, C. (Claire), Sinilnikova, O. (Olga), Mazoyer, S. (Sylvie), Damiola, F. (Francesca), Barjhoux, L. (Laure), Verny-Pierre, C. (Carole), Léone, M. (Mélanie), Boutry-Kryza, N. (N.), Calender, A. (Alain), Giraud, S. (Sophie), Caron, O. (Olivier), Guillaud-Bataille, M. (Marine), Bressac-de Paillerets, B. (Brigitte), Bignon, Y.-J. (Yves-Jean), Uhrhammer, N. (Nancy), Lasset, C. (Christine), Bonadona, V. (Valérie), Berthet, P. (Pascaline), Vaur, D. (Dominique), Castera, L. (Laurent), Noguchi, T. (Tetsuro), Popovici, C. (Cornel), Sobol, H. (Hagay), Bourdon, V. (Violaine), Remenieras, A. (Audrey), Nogues, C. (Catherine), Coupier, I. (Isabelle), Pujol, P. (Pascal), Dumont, A. (Aurélie), Révillion, F. (Françoise), Adenis, C. (Claude), Muller, D.W. (Danièle), Barouk-Simonet, E. (Emmanuelle), Bonnet, F. (Françoise), Bubien, V. (Virginie), Sevenet, N. (Nicolas), Longy, M. (Michel), Toulas, C. (Christine), Guimbaud, R. (Rosine), Gladieff, L. (Laurence), Feillel, V. (Viviane), Leroux, D. (Dominique), Dreyfus, H. (Hélène), Rebischung, C. (Christine), Peysselon, M. (Magalie), Coron, F. (Fanny), Faivre, L. (Laurence), Baurand, A. (Amandine), Jacquot, C. (Caroline), Bertolone, G. (Geoffrey), Lizard, S. (Sarab), Prieur, F. (Fabienne), Lebrun, M. (Marine), Kientz, C. (Caroline), Ferrer, S.F., Mari, V. (Véronique), Vénat-Bouvet, L. (Laurence), Delnatte, C. (Capucine), Bézieau, S. (Stéphane), Mortemousque, I. (Isabelle), Coulet, F. (Florence), Colas, C. (Chrystelle), Soubrier, F. (Florent), Warcoin, M. (Mathilde), Sokolowska, J. (Johanna), Bronner, M. (Myriam), Collonge-Rame, M.-A., Damette, A. (Alexandre), Gesta, P. (Paul), Lallaoui, H. (Hakima), Chiesa, J. (Jean), Molina-Gomes, D. (Denise), Ingster, O. (Olivier), Gregory, H. (Helen), Miedzybrodzka, Z. (Zosia), Morrison, P.J. (Patrick J.), Ong, K.-R. (Kai-ren), Donaldson, A. (Alan), Rogers, M.T. (Mark), Kennedy, M.J. (M. John), Porteous, M.E. (Mary), Brewer, C. (Carole), Davidson, R. (Rosemarie), Izatt, L. (Louise), Brady, A. (A.), Barwell, J. (Julian), Adlard, J.W. (Julian), Foo, C. (Claire), Lalloo, F. (Fiona), Side, L.E. (Lucy E.), Eason, J. (Jacqueline), Henderson, A. (Alex), Walker, L. (Lisa), Eeles, R. (Rosalind), Cook, J. (Jackie), Snape, K. (Katie), Eccles, D. (Diana), Murray, A. (Alexandra), McCann, E. (Emma), Collée, J.M. (J. Margriet), Conroy, D.M. (Don M.), Czene, K. (Kamila), Daly, M.B. (Mary B.), Devilee, P. (Peter), Diez, O. (Orland), Ding, Y.C. (Yuan Chun), Domchek, S.M. (Susan), Dörk, T. (Thilo), Santos Silva, I. (Isabel) dos, Dunning, A.M. (Alison M.), Dwek, M. (Miriam), Eccles, D.M. (Diana M.), Eliassen, A.H. (A. Heather), Engel, C. (Christoph), Eriksson, M. (Mikael), Evans, D.G. (D. Gareth), Fasching, P.A. (Peter), Flyger, H. (Henrik), Fostira, F. (Florentia), Friedman, E. (Eitan), Fritschi, L. (Lin), Frost, D. (Debra), Gago-Dominguez, M. (Manuela), Gapstur, S.M. (Susan M.), Garber, J. (Judy), Garcia-Barberan, V. (Vanesa), García-Closas, M. (Montserrat), García-Sáenz, J.A. (José A.), Gaudet, M.M. (Mia M.), Gayther, S.A. (Simon), Gehrig, A. (Andrea), Georgoulias, V. (Vassilios), Giles, G.G. (Graham G.), Godwin, A.K. (Andrew K.), Goldberg, M.S. (Mark), Radice, P. (Paolo), González-Neira, A. (Anna), Greene, M.H. (Mark H.), Guénel, P. (Pascal), Haeberle, L. (Lothar), Hahnen, E. (Eric), Haiman, C.A. (Christopher), Håkansson, N. (Niclas), Hall, P. (Per), Hamann, U. (Ute), Harrington, P.A. (Patricia A.), Hart, S.N. (Steven N.), He, W. (Wei), Hogervorst, F.B.L. (Frans B. L.), Hollestelle, A. (Antoinette), Hopper, J.L. (John), Horcasitas, D.J. (Darling J.), Hulick, P.J. (Peter J.), Hunter, D.J. (David J.), Imyanitov, E.N. (Evgeny), Fox, S.B. (Stephen), Campbell, I. (Ian), Spurdle, A. (Amanda), Webb, P. (Penny), De Fazio, A. (Anna), Tassell, M. (Margaret), Kirk, J. (Judy), Lindeman, G.J. (Geoffrey), Price, M. (Melanie), Southey, M.C. (Melissa), Milne, R.L. (Roger), Deb, S. (Sid), Bowtell, D. (David), Hout, A.H. (Annemarie) van der, Ouweland, A.M.W. (Ans) van den, Mensenkamp, A.R. (Arjen R.), Deurzen, C.H.M. (Carolien) van, Kets, C.M. (Marleen), Seynaeve, C.M. (Caroline), van Asperen, C.J. (Christi J.), Aalfs, C.M. (Cora), Gómez Garcia, E.B. (Encarna B.), Leeuwen, F.E. (Flora) van, Bock, G.H. (Geertruida) de, Meijers-Heijboer, E.J. (Hanne), Obdeijn, A.I.M. (Inge-Marie), Gille, J.J.P. (J. J.P.), Oosterwijk, J.C. (Jan), Wijnen, J.T. (Juul), Kolk, L.E. (Lizet) van der, Hooning, M.J. (Maartje), Ausems, M.G.E.M. (Margreet), Mourits, M.J. (Marjan), Blok, M.J. (Marinus J.), Rookus, M.A. (Matti), van der Luijt, R.B. (Rob B.), Cronenburg, T.C.T.E.F. van, Pol, C. (Carmen) van der, Russell, N.S. (Nicola), Siesling, S. (Sabine), Overbeek, L.I.H. (Lucy), Wijnands, R. (R.), Lange, J.L. (J.) de, Clarke, C. (Christine), Graham, D. (Dinny), Sachchithananthan, M. (Mythily), Marsh, D. (Deborah), Scott, R.J. (Rodney), Baxter, R. (Robert), Yip, D. (Desmond), Carpenter, T.A. (Adrian), Davis, A. (Alison), Pathmanathan, N. (Nirmala), Simpson, P. (Peter), Jager, A. (Agnes), Jakubowska, A. (Anna), James, M. (Margaret), Jensen, U.B. (Uffe Birk), John, E.M. (Esther), Jones, M.E. (Michael E.), Kaaks, R. (Rudolf), Kapoor, P.M. (Pooja Middha), Karlan, B.Y. (Beth), Keeman, R. (Renske), Khusnutdinova, E.K. (Elza), Kiiski, J.I. (Johanna I.), Ko, Y.-D. (Yon-Dschun), Kosma, V.-M. (Veli-Matti), Kraft, P. (Peter), Kurian, A.W. (Allison W.), Laitman, Y. (Yael), Lambrechts, D. (Diether), Le Marchand, L. (Loic), Lester, J. (Jenny), Lesueur, F. (Fabienne), Lindstrom, T. (Tricia), Lopez-Fernández, A. (Adria), Loud, J.T. (Jennifer T.), Luccarini, C. (Craig), Mannermaa, A. (Arto), Manoukian, S. (Siranoush), Margolin, S. (Sara), Martens, J.W.M. (John), Mebirouk, N. (Noura), Meindl, A. (Alfons), Miller, A. (Austin), Milne, R.L. (Roger L.), Montagna, M. (Marco), Nathanson, K.L. (Katherine), Floris, O.A.M., Nevanlinna, H. (Heli), Nielsen, F.C. (Finn C.), O’Brien, K.M. (Katie M.), Olopade, O.I. (Olofunmilayo), Olson, J.E. (Janet), Olsson, H. (Håkan), Osorio, A. (Ana), Ottini, L. (Laura), Park-Simon, T.-W. (Tjoung-Won), Parsons, M. (Marilyn), Pedersen, I.S. (Inge Sokilde), Peshkin, B. (Beth), Peterlongo, P. (Paolo), Peto, J. (Julian), Pharoah, P.D.P. (Paul), Phillips, K.-A. (Kelly-Anne), Polley, E.C. (Eric C.), Poppe, B. (Bruce), Presneau, N. (Nadege), Pujana, M.A. (Miquel Angel), Punie, K. (Kevin), Rantala, J. (Johanna), Rashid, M.U. (Muhammad), Rennert, G. (Gad), Rennert, H.S. (Hedy S.), Robson, M. (Mark), Romero, A. (Atocha), Rossing, M. (Maria), Saloustros, E. (Emmanouil), Sandler, D.P. (Dale P.), Santella, R.M. (Regina), Scheuner, M.T. (Maren T.), Schmidt, M.K. (Marjanka K.), Schmidt, G. (Gunnar), Scott, C. (Christopher), Sharma, P. (Priyanka), Soucy, P. (Penny), Southey, M.C. (Melissa C.), Spinelli, J.J. (John J.), Steinsnyder, Z. (Zoe), Stone, J. (Jennifer), Stoppa-Lyonnet, D. (Dominique), Swerdlow, A.J. (Anthony ), Tamimi, R. (Rulla), Tapper, W.J. (William J.), Taylor, J.A. (Jack A.), Terry, M.B. (Mary Beth), Teulé, A. (Alex), Thull, D.L. (Darcy L.), Tischkowitz, M. (Marc), Toland, A.E. (Amanda), Torres, D. (Diana), Trainer, A.H. (Alison H.), Truong, T. (Thérèse), Tung, N. (Nadine), Vachon, C. (Celine), Vega, A. (Ana), Joseph, V. (Vijai), Wang, Q. (Qin), Wappenschmidt, B. (Barbara), Weinberg, C.R. (Clarice R.), Weitzel, J.N. (Jeffrey), Wendt, C. (Camilla), Wolk, K. (Kerstin), Yadav, S. (Siddhartha), Yang, X.R. (Xiaohong R.), Yannoukakos, D. (Drakoulis), Zheng, W. (Wei), Ziogas, A. (Argyrios), Zorn, K.K. (Kristin K.), Park, S.K. (Sue K.), Thomassen, M. (Mads), Offit, K. (Kenneth), Schmutzler, R.K. (Rita), Couch, F.J. (Fergus), Simard, J. (Jacques), Chenevix-Trench, G. (Georgia), Adamo, P. (Pio) d', Andrieu, N. (Nadine), and Antoniou, A.C. (Antonis C.)
Abstract: Breast cancer (BC) risk for BRCA1 and BRCA2 mutation carriers varies by genetic and familial factors. About 50 common variants have been shown to modify BC risk for mutation carriers. All but three, were identified in general population studies. Other mutation carrier-specific susceptibility variants may exist but studies of mutation carriers have so far been underpowered. We conduct a novel case-only genome-wide association study comparing genotype frequencies between 60,212 general population BC cases and 13,007 cases with BRCA1 or BRCA2 mutations. We identify robust novel associations for 2 variants with BC for BRCA1 and 3 for BRCA2 mutation carriers, P < 10−8, at 5 loci, which are not associated with risk in the general population. They include rs60882887 at 11p11.2 where MADD, SP11 and EIF1, genes previously implicated in BC biology, are predicted as potential targets. These findings will contribute towards customising BC polygenic risk scores for BRCA1 and BRCA2 mutation carriers.
Published: 2021
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12. Common genetic polymorphisms contribute to the association between chronic lymphocytic leukaemia and non-melanoma skin cancer

Author: Besson, C., Moore, A., Vajdic, C.M., de Sanjose, S., Camp, N.J., Smedby, K.E., Shanafelt, T.D., Morton, L.M., Brewer, J.D., Zablotska, L., Chung, C.C., Teras, L.R., Kleinstern, G., Monnereau, A., Kane, E., Benavente, Y., Purdue, M.P., Birmann, B.M., Link, B.K., Vermeulen, R.C.H., Spinelli, J.J., Albanes, D., Arslan, A.A., Miligi, L., Molina, T.J., Skibola, C.F., Cozen, W., Staines, A., Caporaso, N.E., Giles, G.G., Southey, M.C., Milne, R.L., Tinker, L.F., Severson, R.K., Melbye, M., Adami, H.-O., Glimelius, B., Bracci, P.M., Conde, L., Glenn, M., Curtin, K., Lan, Q., Zheng, T., Weinstein, S., Brooks-Wilson, A.R., Diver, W.R., Clavel, J., Vineis, P., Weiderpass, E., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Weinberg, J.B., Sanna, S., Gambelunghe, A., Jackson, R.D., Hjalgrim, H., North, K.E., McKay, J., Offit, K., Vijai, J., Nieters, A., Engels, E.A., Chanock, S.J., Rothman, N., Cerhan, J.R., Slager, S.L., Han, J., Berndt, S.I., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2
Subjects: 0301 basic medicine, Oncology, medicine.medical_specialty, Skin Neoplasms, Epidemiology, Chronic lymphocytic leukemia, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Polygenic risk score, immune system diseases, Risk Factors, Polymorphism (computer science), hemic and lymphatic diseases, Internal medicine, Pleiotropism, Genetics, medicine, Genetic predisposition, Humans, Basal cell carcinoma, neoplasms, Pleiotropy, business.industry, General Medicine, Odds ratio, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, NMSC, 030104 developmental biology, Carcinoma, Basal Cell, 030220 oncology & carcinogenesis, Carcinoma, Squamous Cell, Skin cancer, business, CLL
Abstract: Background Epidemiological studies have demonstrated a positive association between chronic lymphocytic leukaemia (CLL) and non-melanoma skin cancer (NMSC). We hypothesized that shared genetic risk factors between CLL and NMSC could contribute to the association observed between these diseases. Methods We examined the association between (i) established NMSC susceptibility loci and CLL risk in a meta-analysis including 3100 CLL cases and 7667 controls and (ii) established CLL loci and NMSC risk in a study of 4242 basal cell carcinoma (BCC) cases, 825 squamous cell carcinoma (SCC) cases and 12802 controls. Polygenic risk scores (PRS) for CLL, BCC and SCC were constructed using established loci. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Results Higher CLL-PRS was associated with increased BCC risk (OR4th-quartile-vs-1st-quartile = 1.13, 95% CI: 1.02–1.24, Ptrend = 0.009), even after removing the shared 6p25.3 locus. No association was observed with BCC-PRS and CLL risk (Ptrend = 0.68). These findings support a contributory role for CLL in BCC risk, but not for BCC in CLL risk. Increased CLL risk was observed with higher SCC-PRS (OR4th-quartile-vs-1st-quartile = 1.22, 95% CI: 1.08–1.38, Ptrend = 1.36 × 10–5), which was driven by shared genetic susceptibility at the 6p25.3 locus. Conclusion These findings highlight the role of pleiotropy regarding the pathogenesis of CLL and NMSC and shows that a single pleiotropic locus, 6p25.3, drives the observed association between genetic susceptibility to SCC and increased CLL risk. The study also provides evidence that genetic susceptibility for CLL increases BCC risk.
Published: 2021

13. The age-dependent association of risk factors with pancreatic cancer

Author: Yuan, C., primary, Kim, J., additional, Wang, Q.L., additional, Lee, A.A., additional, Babic, A., additional, Amundadottir, L.T., additional, Klein, A.P., additional, Li, D., additional, McCullough, M.L., additional, Petersen, G.M., additional, Risch, H.A., additional, Stolzenberg-Solomon, R.Z., additional, Perez, K., additional, Ng, K., additional, Giovannucci, E.L., additional, Stampfer, M.J., additional, Kraft, P., additional, Wolpin, B.M., additional, Ardanaz, E., additional, Arslan, A.A., additional, Beane-Freeman, L.E., additional, Bracci, P.M., additional, Bueno-de-Mesquita, B., additional, Du, M., additional, Gallinger, S., additional, Giles, G.G., additional, Goodman, P.J., additional, Katzke, V.A., additional, Kooperberg, C., additional, Malats, N., additional, Marchand, L.L., additional, Milne, R.L., additional, Neoptolemos, J.P., additional, Perdomo, S., additional, Shu, X.O., additional, Van Den Eeden, S.K., additional, Visvanathan, K., additional, White, E., additional, and Zheng, W., additional
Published: 2022
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14. Breast Cancer Risk Genes — Association Analysis in More than 113,000 Women

Author: Dorling, L., Carvalho, S., Allen, J., Gonzalez-Neira, A., Luccarini, C., Wahlstrom, C., Pooley, K.A., Parsons, M.T., Fortuno, C., Wang, Q., Bolla, M.K., Dennis, J., Keeman, R., Alonso, M.R., Alvarez, N., Herraez, B., Fernandez, V., Nunez-Torres, R., Osorio, A., Valcich, J., Li, M., Torngren, T., Harrington, P.A., Baynes, C., Conroy, D.M., Decker, B., Fachal, L., Mavaddat, N., Ahearn, T., Aittomaki, K., Antonenkova, N.N., Arnold, N., Arveux, P., Ausems, M.G.E.M., Auvinen, P., Becher, H., Beckmann, M.W., Behrens, S., Bermisheva, M., Bialkowska, K., Blomqvist, C., Bogdanova, N.V., Bogdanova-Markov, N., Bojesen, S.E., Bonanni, B., Borresen-Dale, A.L., Brauch, H., Bremer, M., Briceno, I., Bruning, T., Burwinkel, B., Cameron, D.A., Camp, N.J., Campbell, A., Carracedo, A., Castelao, J.E., Cessna, M.H., Chanock, S.J., Christiansen, H., Collee, J.M., Cordina-Duverger, E., Cornelissen, S., Czene, K., Dork, T., Ekici, A.B., Engel, C., Eriksson, M., Fasching, P.A., Figueroa, J., Flyger, H., Forsti, A., Gabrielson, M., Gago-Dominguez, M., Georgoulias, V., Gil, F., Giles, G.G., Glendon, G., Garcia, E.B.G., Alnaes, G.I.G., Guenel, P., Hadjisavvas, A., Haeberle, L., Hahnen, E., Hall, P., Hamann, U., Harkness, E.F., Hartikainen, J.M., Hartman, M., He, W., Heemskerk-Gerritsen, B.A.M., Hillemanns, P., Hogervorst, F.B.L., Hollestelle, A., Ho, W.K., Hooning, M.J., Howell, A., Humphreys, K., Idris, F., Jakubowska, A., Jung, A., Kapoor, P.M., Kerin, M.J., Khusnutdinova, E., Kim, S.W., Ko, Y.D., Kosma, V.M., Kristensen, V.N., Kyriacou, K., Lakeman, I.M.M., Lee, J.W., Lee, M.H., Li, J.M., Lindblom, A., W.Y. lo, Loizidou, M.A., Lophatananon, A., Lubinski, J., MacInnis, R.J., Madsen, M.J., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Maurer, T., Mavroudis, D., McLean, C., Meindl, A., Mensenkamp, A.R., Michailidou, K., Miller, N., Taib, N.A.M., Muir, K., Mulligan, A.M., Nevanlinna, H., Newman, W.G., Nordestgaard, B.G., Ng, P.S., Oosterwijk, J.C., Park, S.K., Park-Simon, T.W., Perez, J.I.A., Peterlongo, P., Porteous, D.J., Prajzendanc, K., Prokofyeva, D., Radice, P., Rashid, M.U., Rhenius, V., Rookus, M.A., Rudiger, T., Saloustros, E., Sawyer, E.J., Schmutzler, R.K., Schneeweiss, A., Schurmann, P., Shah, M., Sohn, C., Southey, M.C., Surowy, H., Suvanto, M., Thanasitthichai, S., Tomlinson, I., Torres, D., Truong, T., Tzardi, M., Valova, Y., Asperen, C.J. van, Dam, R.M. van, Ouweland, A.M.W. van den, Kolk, L.E. van der, Veen, E.M. van, Wendt, C., Williams, J.A., Yang, X.H.R., Yoon, S.Y., Zamora, M.P., Evans, D.G., Hoya, M. de la, Simard, J., Antoniou, A.C., Borg, A., Andrulis, I.L., Chang-Claude, J., Garcia-Closas, M., Chenevix-Trench, G., Milne, R.L., Pharoah, P.D.P., Schmidt, M.K., Spurdle, A.B., Vreeswijk, M.P.G., Benitez, J., Dunning, A.M., Kvist, A., Teo, S.H., Devilee, P., Easton, D.F., Breast Canc Assoc Consortium, Erasmus MC other, Medical Oncology, Clinical Genetics, Keeman, Renske [0000-0002-5452-9933], Decker, Brennan [0000-0003-4516-7421], Eriksson, Mikael [0000-0001-8135-4270], Martinez, Maria Elena [0000-0002-6728-1834], Surowy, Harald [0000-0002-3595-9188], Pharoah, Paul DP [0000-0001-8494-732X], Apollo - University of Cambridge Repository, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Polikliniek (9), and Klinische Genetica
Subjects: Adult, Risk, Oncology, medicine.medical_specialty, Adolescent, PALB2, Genetic counseling, Genes, BRCA2, Mutation, Missense, Genes, BRCA1, Estrogen receptor, Breast Neoplasms, 030204 cardiovascular system & hematology, OVARIAN-CANCER, Article, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, Odds Ratio, medicine, Humans, Genetic Predisposition to Disease, 030212 general & internal medicine, skin and connective tissue diseases, CHEK2, Aged, Genetic testing, Genetic association, Aged, 80 and over, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], medicine.diagnostic_test, MUTATIONS, business.industry, Age Factors, Genetic Variation, Sequence Analysis, DNA, General Medicine, Odds ratio, Middle Aged, BRCA1, medicine.disease, 3. Good health, Logistic Models, Female, business
Abstract: BACKGROUNDGenetic testing for breast cancer susceptibility is widely used, but for many genes,evidence of an association with breast cancer is weak, underlying risk estimatesare imprecise, and reliable subtype-specific risk estimates are lacking.METHODSWe used a panel of 34 putative susceptibility genes to perform sequencing onsamples from 60,466 women with breast cancer and 53,461 controls. In separateanalyses for protein-truncating variants and rare missense variants in these genes,we estimated odds ratios for breast cancer overall and tumor subtypes. We evaluatedmissense-variant associations according to domain and classification of pathogenicity.RESULTSProtein-truncating variants in 5 genes (ATM, BRCA1, BRCA2, CHEK2, and PALB2)were associated with a risk of breast cancer overall with a P value of less than0.0001. Protein-truncating variants in 4 other genes (BARD1, RAD51C, RAD51D,and TP53) were associated with a risk of breast cancer overall with a P value ofless than 0.05 and a Bayesian false-discovery probability of less than 0.05. Forprotein-truncating variants in 19 of the remaining 25 genes, the upper limit ofthe 95% confidence interval of the odds ratio for breast cancer overall was lessthan 2.0. For protein-truncating variants in ATM and CHEK2, odds ratios werehigher for estrogen receptor (ER)–positive disease than for ER-negative disease;for protein-truncating variants in BARD1, BRCA1, BRCA2, PALB2, RAD51C, andRAD51D, odds ratios were higher for ER-negative disease than for ER-positivedisease. Rare missense variants (in aggregate) in ATM, CHEK2, and TP53 wereassociated with a risk of breast cancer overall with a P value of less than 0.001.For BRCA1, BRCA2, and TP53, missense variants (in aggregate) that would be classified as pathogenic according to standard criteria were associated with a riskof breast cancer overall, with the risk being similar to that of protein-truncatingvariants.CONCLUSIONSThe results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimatesof the risks associated with protein-truncating variants, to guide genetic counseling. (Funded by European Union Horizon 2020 programs and others.)
Published: 2021

15. Breast cancer risks associated with missense variants in breast cancer susceptibility genes

Author: Dorling, L., Carvalho, S., Allen, J., Parsons, M.T., Fortuno, C., Gonzalez-Neira, A., Heijl, S.M., Adank, M.A., Ahearn, T.U., Andrulis, I.L., Auvinen, P., Becher, H., Beckmann, M.W., Behrens, S., Bermisheva, M., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Bremer, M., Briceno, I., Camp, N.J., Campbell, A., Castelao, J.E., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Collee, J.M., Czene, K., Dennis, J., Dork, T., Eriksson, M., Evans, D.G., Fasching, P.A., Figueroa, J., Flyger, H., Gabrielson, M., Gago-Dominguez, M., Garcia-Closas, M., Giles, G.G., Glendon, G., Guenel, P., Gundert, M., Hadjisavvas, A., Hahnen, E., Hall, P., Hamann, U., Harkness, E.F., Hartman, M., Hogervorst, F.B.L., Hollestelle, A., Hoppe, R., Howell, A., Jakubowska, A., Jung, A., Khusnutdinova, E., Kim, S.W., Ko, Y.D., Kristensen, V.N., Lakeman, I.M.M., Li, J.M., Lindblom, A., Loizidou, M.A., Lophatananon, A., Lubinski, J., Luccarini, C., Madsen, M.J., Mannermaa, A., Manoochehri, M., Margolin, S., Mavroudis, D., Milne, R.L., Taib, N.A.M., Muir, K., Nevanlinna, H., Newman, W.G., Oosterwijk, J.C., Park, S.K., Peterlongo, P., Radice, P., Saloustros, E., Sawyer, E.J., Schmutzler, R.K., Shah, M.T., Sim, X., Southey, M.C., Surowy, H., Suvanto, M., Tomlinson, I., Torres, D., Truong, T., Asperen, C.J. van, Waltes, R., Wang, Q., Yang, X.H.R., Pharoah, P.D.P., Schmidt, M.K., Benitez, J., Vroling, B., Dunning, A.M., Teo, S.H., Kvist, A., Hoya, M. de la, Devilee, P., Spurdle, A.B., Vreeswijk, M.P.G., Easton, D.F., NBCS Collaborators, KConFab Investigators, SGBCC Investigators, Clinical Genetics, Medical Oncology, Apollo - University of Cambridge Repository, Dennis, Joe [0000-0003-4591-1214], Pharoah, Paul [0000-0001-8494-732X], Easton, Douglas [0000-0003-2444-3247], Targeted Gynaecologic Oncology (TARGON), Damage and Repair in Cancer Development and Cancer Treatment (DARE), University of Helsinki, Clinicum, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Wellcome Trust, WT: 633784, v203477/Z/16/Z, Horizon 2020 Framework Programme, H2020, Cancer Research UK, CRUK: C1287/A16563, The sequencing and analysis for this project was funded by the European Union’s Horizon 2020 Research and Innovation Programme (BRIDGES: grant number 634935) and the Wellcome Trust [grant no: v203477/Z/16/Z]. BCAC co-ordination was additionally funded by the European Union’s Horizon 2020 Research and Innovation Programme (BRIDGES: grant number 634935, BCAST: grant number 633784) and by Cancer Research UK [C1287/A16563]. Study specific funding is given in the Additional Note., and HAL UVSQ, Équipe
Subjects: Mutation, Missense, Breast Neoplasms, [SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics, Breast Neoplasms/genetics, Breast Cancer, Genetic Epidemiology, Missense Variants, Risk Prediction, CLASSIFICATION, Breast cancer, Missense variants, SDG 3 - Good Health and Well-being, 3123 Gynaecology and paediatrics, SEQUENCE VARIANTS, Genetics, Humans, Genetic Predisposition to Disease, Genetic epidemiology, ddc:610, skin and connective tissue diseases, Molecular Biology, Genetics (clinical), MUTATIONS, Research, UNKNOWN CLINICAL-SIGNIFICANCE, 1184 Genetics, developmental biology, physiology, FRAMEWORK, BRCA1, Risk prediction, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, SUBSTITUTIONS, Case-Control Studies, Mutation, Molecular Medicine, Female, Missense, PATHOGENICITY
Abstract: Background Protein truncating variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain. Methods We analyzed data on 59,639 breast cancer cases and 53,165 controls from studies participating in the Breast Cancer Association Consortium BRIDGES project. We sampled training (80%) and validation (20%) sets to analyze rare missense variants in ATM (1146 training variants), BRCA1 (644), BRCA2 (1425), CHEK2 (325), and PALB2 (472). We evaluated breast cancer risks according to five in silico prediction-of-deleteriousness algorithms, functional protein domain, and frequency, using logistic regression models and also mixture models in which a subset of variants was assumed to be risk-associated. Results The most predictive in silico algorithms were Helix (BRCA1, BRCA2 and CHEK2) and CADD (ATM). Increased risks appeared restricted to functional protein domains for ATM (FAT and PIK domains) and BRCA1 (RING and BRCT domains). For ATM, BRCA1, and BRCA2, data were compatible with small subsets (approximately 7%, 2%, and 0.6%, respectively) of rare missense variants giving similar risk to those of protein truncating variants in the same gene. For CHEK2, data were more consistent with a large fraction (approximately 60%) of rare missense variants giving a lower risk (OR 1.75, 95% CI (1.47–2.08)) than CHEK2 protein truncating variants. There was little evidence for an association with risk for missense variants in PALB2. The best fitting models were well calibrated in the validation set. Conclusions These results will inform risk prediction models and the selection of candidate variants for functional assays and could contribute to the clinical reporting of gene panel testing for breast cancer susceptibility.
Published: 2022

16. Alcohol intake trajectories during the life course and risk of alcohol-related cancer in a prospective cohort study.

Author: Bassett J.K., MacInnis R.J., Yang Y., Hodge A.M., Lynch B.M., English D.R., Giles G.G., Milne R.L., Jayasekara H., Bassett J.K., MacInnis R.J., Yang Y., Hodge A.M., Lynch B.M., English D.R., Giles G.G., Milne R.L., and Jayasekara H.
Abstract: Aims: Although ethanol in alcoholic beverages and its metabolite acetaldehyde are established carcinogens, the effect of different patterns of alcohol intake over the lifetime has rarely been investigated. We examined associations between sex-specific alcohol intake trajectories and alcohol-related cancer risk using data from 22,756 women and 15,701 men aged 40-69 years at baseline in the Melbourne Collaborative Cohort Study. Methods : Alcohol intake for 10-year periods from age 20 until the decade encompassing recruitment, calculated using recalled beverage-specific frequency and quantity, was used to estimate group-based sex-specific intake trajectories. Incident primary invasive cancers of the upper aerodigestive tract, breast, liver and colorectum were defined as "alcohol-related cancer". Hazard ratios (HR) and 95% confidence intervals (CI) for incident alcohol-related cancer were estimated, adjusted for potential confounders. Results : Six distinct alcohol intake trajectories for men and three for women were identified. A total of 2303 incident alcohol-related cancers were diagnosed during 485,525 person-years in women and 789 during 303,218 person-years in men. Compared with "stable low" intake (maximum < 0.5 g/day at each data point), heavy intake (median>=60 g/day) at age 20-39 followed by either an early (from age 40-49) (early decreasing heavy; HR = 1.75, 95% CI: 1.25-2.44) or late decrease (from age 60-69) (late decreasing heavy; HR = 1.94, 95% CI: 1.28-2.93), and moderate intake (median = 30-59 g/day) at age 20-39 increasing to heavy intake from age 40-49 (increasing heavy; HR = 1.45, 95% CI: 1.06-1.97) were associated with increased risk of alcohol-related cancer for men. For women, increasing intake from age 20 to age at baseline was associated with increased risk of alcohol-related cancer (increasing moderate; HR = 1.25, 95% CI: 1.06-1.48). Associations largely remained consistent for men and women in analyses for colorectal and breast cancer, respect
Published: 2022

17. Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing.

Author: Southey M.C., Dowty J.G., Riaz M., Steen J.A., Renault A.-L., Tucker K., Kirk J., James P., Winship I., Pachter N., Poplawski N., Grist S., Park D.J., Pope B.J., Mahmood K., Hammet F., Mahmoodi M., Tsimiklis H., Theys D., Rewse A., Willis A., Morrow A., Speechly C., Harris R., Sebra R., Schadt E., Lacaze P., McNeil J.J., Giles G.G., Milne R.L., Hopper J.L., Nguyen-Dumont T., Southey M.C., Dowty J.G., Riaz M., Steen J.A., Renault A.-L., Tucker K., Kirk J., James P., Winship I., Pachter N., Poplawski N., Grist S., Park D.J., Pope B.J., Mahmood K., Hammet F., Mahmoodi M., Tsimiklis H., Theys D., Rewse A., Willis A., Morrow A., Speechly C., Harris R., Sebra R., Schadt E., Lacaze P., McNeil J.J., Giles G.G., Milne R.L., Hopper J.L., and Nguyen-Dumont T.
Abstract: Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing are urgently required. Most prior research has been based on women selected for high-risk features and more data is needed to make inference about breast cancer risk for women unselected for family history, an important consideration of population screening. We tested 1464 women diagnosed with breast cancer and 862 age-matched controls participating in the Australian Breast Cancer Family Study (ABCFS), and 6549 healthy, older Australian women enroled in the ASPirin in Reducing Events in the Elderly (ASPREE) study for rare germline variants using a 24-gene-panel. Odds ratios (ORs) were estimated using unconditional logistic regression adjusted for age and other potential confounders. We identified pathogenic variants in 11.1% of the ABCFS cases, 3.7% of the ABCFS controls and 2.2% of the ASPREE (control) participants. The estimated breast cancer OR [95% confidence interval] was 5.3 [2.1-16.2] for BRCA1, 4.0 [1.9-9.1] for BRCA2, 3.4 [1.4-8.4] for ATM and 4.3 [1.0-17.0] for PALB2. Our findings provide a population-based perspective to gene-panel testing for breast cancer predisposition and opportunities to improve predictors for identifying women who carry pathogenic variants in breast cancer predisposition genes.Copyright © 2021, The Author(s).
Published: 2022

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

Author: DeVries, A.A.F., Dennis, J., Tyrer, J.P., Peng, P.C., Coetzee, S.G., Reyes, A.L., Plummer, J.T., Davis, B.D., Chen, S.S., Dezem, F.S., Aben, K.K.H., Anton-Culver, H., Antonenkova, N.N., Beckmann, M.W., Beeghly-Fadiel, A., Berchuck, A., Bogdanova, N.V., Bogdanova-Markov, N., Brenton, J.D., Butzow, R., Campbell, I., Chang-Claude, J., Chenevix-Trench, G., Cook, L.S., Defazio, A., Doherty, J.A., Dörk, T., Eccles, D.M., Eliassen, A.H., Fasching, P.A., Fortner, R.T., Giles, G.G., Goode, E.L., Goodman, M.T., Gronwald, J., Håkansson, N., Hildebrandt, M.A., Huff, C., Huntsman, D.G., Jensen, A., Kar, S., Karlan, B.Y., Khusnutdinova, E.K., Kiemeney, L.A.L.M., Kjaer, S.K., Kupryjanczyk, J., Labrie, M., Lambrechts, D., Le, N.D., Lubiński, J., May, T., Menon, U., Milne, R.L., Modugno, F., Monteiro, Ana, Moysich, K.B., Odunsi, K., Olsson, H., Pearce, C.L., Pejovic, T., Ramus, S.J., Riboli, E., Riggan, M.J., Romieu, I., Sandler, D.P., Schildkraut, J.M., Setiawan, V.W., Sieh, W., Song, H., Sutphen, R., Terry, K.L., Thompson, P.J., Titus, L., Tworoger, S.S., Nieuwenhuysen, E. Van, Edwards, D.V., Webb, P.M., Wentzensen, N., Whittemore, A.S., Wolk, A., Wu, A.H., Ziogas, Argyrios, Freedman, M.L., Lawrenson, K., Pharoah, P.D., Easton, D.F., Gayther, S.A., Jones, M.R., DeVries, A.A.F., Dennis, J., Tyrer, J.P., Peng, P.C., Coetzee, S.G., Reyes, A.L., Plummer, J.T., Davis, B.D., Chen, S.S., Dezem, F.S., Aben, K.K.H., Anton-Culver, H., Antonenkova, N.N., Beckmann, M.W., Beeghly-Fadiel, A., Berchuck, A., Bogdanova, N.V., Bogdanova-Markov, N., Brenton, J.D., Butzow, R., Campbell, I., Chang-Claude, J., Chenevix-Trench, G., Cook, L.S., Defazio, A., Doherty, J.A., Dörk, T., Eccles, D.M., Eliassen, A.H., Fasching, P.A., Fortner, R.T., Giles, G.G., Goode, E.L., Goodman, M.T., Gronwald, J., Håkansson, N., Hildebrandt, M.A., Huff, C., Huntsman, D.G., Jensen, A., Kar, S., Karlan, B.Y., Khusnutdinova, E.K., Kiemeney, L.A.L.M., Kjaer, S.K., Kupryjanczyk, J., Labrie, M., Lambrechts, D., Le, N.D., Lubiński, J., May, T., Menon, U., Milne, R.L., Modugno, F., Monteiro, Ana, Moysich, K.B., Odunsi, K., Olsson, H., Pearce, C.L., Pejovic, T., Ramus, S.J., Riboli, E., Riggan, M.J., Romieu, I., Sandler, D.P., Schildkraut, J.M., Setiawan, V.W., Sieh, W., Song, H., Sutphen, R., Terry, K.L., Thompson, P.J., Titus, L., Tworoger, S.S., Nieuwenhuysen, E. Van, Edwards, D.V., Webb, P.M., Wentzensen, N., Whittemore, A.S., Wolk, A., Wu, A.H., Ziogas, Argyrios, Freedman, M.L., Lawrenson, K., Pharoah, P.D., Easton, D.F., Gayther, S.A., and Jones, M.R.
Abstract: Item does not contain fulltext, BACKGROUND: Known 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. METHODS: Single 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. RESULTS: We 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 < .001) were identified for rare CNVs. Risk-associated CNVs were enriched (P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types. CONCLUSIONS: CNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and may contribute to the spectrum of disease-causing mutations in these genes. CNVs are likely to occur in a wider set of susceptibility regions, with potential implications for clinical genetic testing and disease prevention.
Published: 2022

19. Genetic modifiers of cancer risk for BRCA1 and BRCA2 mutation carriers

Author: Milne, R.L. and Antoniou, A.C.
Published: 2011
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20. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element

Author: Baxter, J.S., Johnson, N., Tomczyk, K., Gillespie, A., Maguire, S., Brough, R., Fachal, L., Michailidou, K., Bolla, M.K., Wang, Q., Dennis, J., Ahearn, T.U., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Arndt, V., Aronson, K.J., Augustinsson, A., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bogdanova, N.V., Bojesen, S.E., Brenner, H., Brucker, S.Y., Cai, Q.Y., Campa, D., Canzian, F., Castelao, J.E., Chan, T.L., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Choi, J.Y., Clarke, C.L., Collaborators, N., Colonna, S., Conroy, D.M., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Dork, T., Dossus, L., Dwek, M., Eccles, D.M., Ekici, A.B., Eliassen, A.H., Engel, C., Fasching, P.A., Figueroa, J., Flyger, H., Gago-Dominguez, M., Gao, C., Garcia-Closas, M., Garcia-Saenz, J.A., Ghoussaini, M., Giles, G.G., Goldberg, M.S., Gonzalez-Neira, A., Guenel, P., Gundert, M., Haeberle, L., Hahnen, E., Haiman, C.A., Hall, P., Hamann, U., Hartman, M., Hatse, S., Hauke, J., Hollestelle, A., Hoppe, R., Hopper, J.L., Hou, M.F., Ito, H., Iwasaki, M., Jager, A., Jakubowska, A., Janni, W., John, E.M., Joseph, V., Jung, A., Kaaks, R., Kang, D., Keeman, R., Khusnutdinova, E., Kim, S.W., Kosma, V.M., Kraft, P., Kristensen, V.N., Kubelka-Sabit, K., Kurian, A.W., Kwong, A., Lacey, J.V., Lambrechts, D., Larson, N.L., Larsson, S.C., Marchand, L. le, Lejbkowicz, F., Li, J.M., Long, J.R., Lophatananon, A., LubiNski, J., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Matsuo, K., Mavroudis, D., Mayes, R., Menon, U., Milne, R.L., Taib, N.A.M., Muir, K., Muranen, T.A., Murphy, R.A., Nevanlinna, H., O'Brien, K.M., Offit, K., Olson, J.E., Olsson, H., Park, S.K., Park-Simon, T.W., Patel, A.V., Peterlongo, P., Peto, J., Plaseska-Karanfilska, D., Presneau, N., Pylkas, K., Rack, B., Rennert, G., Romero, A., Ruebner, M., Rudiger, T., Saloustros, E., Sandler, D.P., Sawyer, E.J., Schmidt, M.K., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Shah, M., Shen, C.Y., Shu, X.O., Simard, J., Southey, M.C., Stone, J., Surowy, H., Swerdlow, A.J., Tamimi, R.M., Tapper, W.J., Taylor, J.A., Teo, S.H., Teras, L.R., Terry, M.B., Toland, A.E., Tomlinson, I., Truong, T., Tseng, C.C., Untch, M., Vachon, C.M., Ouweland, A.M.W. van den, Wang, S.S., Weinberg, C.R., Wendt, C., Winham, S.J., Winqvist, R., Wolk, A., Wu, A.H., Yamaji, T., Zheng, W., Ziogas, A., Pharoah, P.D.P., Dunning, A.M., Easton, D.F., Pettitt, S.J., Lord, C.J., Haider, S., Orr, N., Fletcher, O., kConFab Investigators, ABCTB Investigators, Medical Oncology, Clinical Genetics, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, Biosciences, Dennis, Joe [0000-0003-4591-1214], Pharoah, Paul [0000-0001-8494-732X], Dunning, Alison [0000-0001-6651-7166], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository
Subjects: Basic medicine, breast cancer risk, 0302 clinical medicine, Transcription (biology), Risk Factors, WIDE ASSOCIATION, TRANSCRIPTION, Promoter Regions, Genetic, Genetics (clinical), Sequence Deletion, Genetics, Genetics & Heredity, 0303 health sciences, Chromosome Mapping, 3. Good health, 030220 oncology & carcinogenesis, Chromosomes, Human, Pair 2, Pair 2, Female, Medical Genetics, Life Sciences & Biomedicine, Human, Tumor suppressor gene, SUSCEPTIBILITY LOCI, In silico, 3122 Cancers, Locus (genetics), Breast Neoplasms, Biology, Chromosomes, Article, Cell Line, RNAS, Promoter Regions, 03 medical and health sciences, functional annotation, risk locus, CRISPR-Cas Systems, Genetic Association Studies, Genetic Variation, Humans, Insulin-Like Growth Factor Binding Protein 5, Molecular Sequence Annotation, 11Q13, Genetic, SDG 3 - Good Health and Well-being, Enhancer, Transcription factor, 030304 developmental biology, Medicinsk genetik, Reporter gene, Science & Technology, IDENTIFICATION, Clinical medicine, Estrogen receptor alpha
Abstract: A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), and 42 (signal 3) credible causal variants at these loci. We used publicly available in silico DNase I and ChIP-seq data with in vitro reporter gene and CRISPR assays to annotate signals 2 and 3. We identified putative regulatory elements that enhanced cell-type-specific transcription from the IGFBP5 promoter at both signals (30- to 40-fold increased expression by the putative regulatory element at signal 2, 2- to 3-fold by the putative regulatory element at signal 3). We further identified one of the five credible causal variants at signal 2, a 1.4 kb deletion (esv3594306), as the likely causal variant; the deletion allele of this variant was associated with an average additional increase in IGFBP5 expression of 1.3-fold (MCF-7) and 2.2-fold (T-47D). We propose a model in which the deletion allele of esv3594306 juxtaposes two transcription factor binding regions (annotated by estrogen receptor alpha ChIP-seq peaks) to generate a single extended regulatory element. This regulatory element increases cell-type-specific expression of the tumor suppressor gene IGFBP5 and, thereby, reduces risk of estrogen receptor-positive breast cancer (odds ratio = 0.77, 95% CI 0.74-0.81, p = 3.1 × 10-31). ispartof: AMERICAN JOURNAL OF HUMAN GENETICS vol:108 issue:7 pages:1190-1203 ispartof: location:United States status: published
Published: 2021

21. The Inherited Genetic Component of Sporadic Pancreatic Adenocarcinoma

Author: Milne, R.L., Greenhalf, W., Murta-Nascimento, C., Real, F.X., and Malats, N.
Published: 2009
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22. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium

Author: Guida, F., Tan, V.Y., Corbin, L.J., Smith-Byrne, K., Alcala, K., Langenberg, C., Stewart, I.D., Butterworth, A.S., Surendran, P., Achaintre, D., Adamski, J., Exezarreta, P.A., Bergmann, M.M., Bull, C.J., Dahm, C.C., Gicquiau, A., Giles, G.G., Gunter, M.J., Haller, T., Langhammer, A., Larose, T.L., Ljungberg, B., Metspalu, A., Milne, R.L., Muller, D.C., Nøst, T.H., Sørgjerd, E.P., Prehn, C., Riboli, E., Rinaldi, S., Rothwell, J.A., Scalbert, A., Schmidt, J.A., Severi, G., Sieri, S., Vermeulen, R., Vincent, E.E., Waldenberger, M., Timpson, N.J., Johansson, M., Afd. Theologie, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Langenberg, Claudia [0000-0002-5017-7344], Butterworth, Adam [0000-0002-6915-9015], Apollo - University of Cambridge Repository, Cancer Research UK, Guida, Florence [0000-0002-9652-2430], Tan, Vanessa Y. [0000-0001-7938-127X], Corbin, Laura J. [0000-0002-4032-9500], Alcala, Karine [0000-0003-2308-9880], Adamski, Jerzy [0000-0001-9259-0199], Bull, Caroline J. [0000-0002-2176-5120], Dahm, Christina C. [0000-0003-0481-2893], Giles, Graham G. [0000-0003-4946-9099], Langhammer, Arnulf [0000-0001-5296-6673], Ljungberg, Börje [0000-0002-4121-3753], Milne, Roger L. [0000-0001-5764-7268], Nøst, Therese H. [0000-0001-6805-3094], Pettersen Sørgjerd, Elin [0000-0002-5995-2386], Prehn, Cornelia [0000-0002-1274-4715], Riboli, Elio [0000-0001-6795-6080], Rothwell, Joseph A. [0000-0002-6927-3360], Scalbert, Augustin [0000-0001-6651-6710], Schmidt, Julie A. [0000-0002-7733-8750], Severi, Gianluca [0000-0001-7157-419X], Sieri, Sabina [0000-0001-5201-172X], Vincent, Emma E. [0000-0002-8917-7384], Timpson, Nicholas J. [0000-0002-7141-9189], Johansson, Mattias [0000-0002-3116-5081], Tan, Vanessa Y [0000-0001-7938-127X], Corbin, Laura J [0000-0002-4032-9500], Bull, Caroline J [0000-0002-2176-5120], Dahm, Christina C [0000-0003-0481-2893], Giles, Graham G [0000-0003-4946-9099], Milne, Roger L [0000-0001-5764-7268], Muller, David C [0000-0002-2350-0417], Nøst, Therese H [0000-0001-6805-3094], Rothwell, Joseph A [0000-0002-6927-3360], Schmidt, Julie A [0000-0002-7733-8750], Vincent, Emma E [0000-0002-8917-7384], Timpson, Nicholas J [0000-0002-7141-9189], Afd. Theologie, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2
Subjects: Male, Epidemiology, Single Nucleotide Polymorphisms, Physiology, Biochemistry, Body Mass Index, 0302 clinical medicine, Risk Factors, Metabolites, Medicine, Prospective Studies, Prospective cohort study, 11 Medical and Health Sciences, 2. Zero hunger, Medicine(all), 0303 health sciences, Cancer Risk Factors, Incidence, Neurochemistry, General Medicine, Neurotransmitters, Middle Aged, Kidney Neoplasms, 3. Good health, Europe, Oncology, Nephrology, 030220 oncology & carcinogenesis, Renal Cancer, Metabolome, Female, Metabolic Pathways, Metabolic Labeling, ICEP, Glutamate, Research Article, Victoria, Risk Assessment, 03 medical and health sciences, General & Internal Medicine, Genetics, Xenobiotic Metabolism, Humans, Metabolomics, Obesity, Risk factor, Molecular Biology Techniques, Molecular Biology, 030304 developmental biology, Aged, Medicine and health sciences, Cancer och onkologi, Biology and life sciences, business.industry, Case-control study, Cancer, Odds ratio, Mendelian Randomization Analysis, medicine.disease, Research and analysis methods, Metabolism, Cell Labeling, Medical Risk Factors, Cancer and Oncology, Case-Control Studies, business, Kidney cancer, Body mass index, Biomarkers, Neuroscience
Abstract: Background Excess bodyweight and related metabolic perturbations have been implicated in kidney cancer aetiology, but the specific molecular mechanisms underlying these relationships are poorly understood. In this study, we sought to identify circulating metabolites that predispose kidney cancer and to evaluate the extent to which they are influenced by body mass index (BMI). Methods and findings We assessed the association between circulating levels of 1,416 metabolites and incident kidney cancer using pre-diagnostic blood samples from up to 1,305 kidney cancer case–control pairs from 5 prospective cohort studies. Cases were diagnosed on average 8 years after blood collection. We found 25 metabolites robustly associated with kidney cancer risk. In particular, 14 glycerophospholipids (GPLs) were inversely associated with risk, including 8 phosphatidylcholines (PCs) and 2 plasmalogens. The PC with the strongest association was PC ae C34:3 with an odds ratio (OR) for 1 standard deviation (SD) increment of 0.75 (95% confidence interval [CI]: 0.68 to 0.83, p = 2.6 × 10−8). In contrast, 4 amino acids, including glutamate (OR for 1 SD = 1.39, 95% CI: 1.20 to 1.60, p = 1.6 × 10−5), were positively associated with risk. Adjusting for BMI partly attenuated the risk association for some—but not all—metabolites, whereas other known risk factors of kidney cancer, such as smoking and alcohol consumption, had minimal impact on the observed associations. A mendelian randomisation (MR) analysis of the influence of BMI on the blood metabolome highlighted that some metabolites associated with kidney cancer risk are influenced by BMI. Specifically, elevated BMI appeared to decrease levels of several GPLs that were also found inversely associated with kidney cancer risk (e.g., −0.17 SD change [ßBMI] in 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2) levels per SD change in BMI, p = 3.4 × 10−5). BMI was also associated with increased levels of glutamate (ßBMI: 0.12, p = 1.5 × 10−3). While our results were robust across the participating studies, they were limited to study participants of European descent, and it will, therefore, be important to evaluate if our findings can be generalised to populations with different genetic backgrounds. Conclusions This study suggests a potentially important role of the blood metabolome in kidney cancer aetiology by highlighting a wide range of metabolites associated with the risk of developing kidney cancer and the extent to which changes in levels of these metabolites are driven by BMI—the principal modifiable risk factor of kidney cancer., In a case-control study, Florence Guida and colleagues identify metabolites associated with risk of kidney cancer, and use Mendelian randomization techniques to study the role of body mass index in this relationship., Author summary Why was this study done? Several modifiable risk factors have been established for kidney cancer, among which elevated body mass index (BMI) and obesity are central. The biological mechanisms underlying these relationships are poorly understood, but obesity-related metabolic perturbations may be important. What did the researchers do and find? We looked at the association between kidney cancer and the levels of 1,416 metabolites measured in blood on average 8 years before the disease onset. The study included 1,305 kidney cancer cases and 1,305 healthy controls. We found 25 metabolites robustly associated with kidney cancer risk. Specifically, multiple glycerophospholipids (GPLs) were inversely associated with risk, while several amino acids were positively associated with risk. Accounting for BMI highlighted that some—but not all—metabolites associated with kidney cancer risk are influenced by BMI. What do these findings mean? These findings illustrate the potential utility of prospectively measured metabolites in helping us to understand the aetiology of kidney cancer. By examining overlap between the metabolomic profile of prospective risk of kidney cancer and that of modifiable risk factors for the disease—in this case BMI—we can begin to identify biological pathways relevant to disease onset.
Published: 2021

23. Lifetime alcohol intake, drinking patterns over time and risk of stomach cancer: A pooled analysis of data from two prospective cohort studies

Author: Jayasekara, H. MacInnis, R.J. Lujan-Barroso, L. Mayen-Chacon, A.-L. Cross, A.J. Wallner, B. Palli, D. Ricceri, F. Pala, V. Panico, S. Tumino, R. Kühn, T. Kaaks, R. Tsilidis, K. Sánchez, M.-J. Amiano, P. Ardanaz, E. Chirlaque López, M.D. Merino, S. Rothwell, J.A. Boutron-Ruault, M.-C. Severi, G. Sternby, H. Sonestedt, E. Bueno-de-Mesquita, B. Boeing, H. Travis, R. Sandanger, T.M. Trichopoulou, A. Karakatsani, A. Peppa, E. Tjønneland, A. Yang, Y. Hodge, A.M. Mitchell, H. Haydon, A. Room, R. Hopper, J.L. Weiderpass, E. Gunter, M.J. Riboli, E. Giles, G.G. Milne, R.L. Agudo, A. English, D.R. Ferrari, P.
Abstract: Alcohol consumption is causally linked to several cancers but the evidence for stomach cancer is inconclusive. In our study, the association between long-term alcohol intake and risk of stomach cancer and its subtypes was evaluated. We performed a pooled analysis of data collected at baseline from 491 714 participants in the European Prospective Investigation into Cancer and Nutrition and the Melbourne Collaborative Cohort Study. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated for incident stomach cancer in relation to lifetime alcohol intake and group-based life course intake trajectories, adjusted for potential confounders including Helicobacter pylori infection. In all, 1225 incident stomach cancers (78% noncardia) were diagnosed over 7 094 637 person-years; 984 in 382 957 study participants with lifetime alcohol intake data (5 455 507 person-years). Although lifetime alcohol intake was not associated with overall stomach cancer risk, we observed a weak positive association with noncardia cancer (HR = 1.03, 95% CI: 1.00-1.06 per 10 g/d increment), with a HR of 1.50 (95% CI: 1.08-2.09) for ≥60 g/d compared to 0.1 to 4.9 g/d. A weak inverse association with cardia cancer (HR = 0.93, 95% CI: 0.87-1.00) was also observed. HRs of 1.48 (95% CI: 1.10-1.99) for noncardia and 0.51 (95% CI: 0.26-1.03) for cardia cancer were observed for a life course trajectory characterized by heavy decreasing intake compared to light stable intake (Phomogeneity =.02). These associations did not differ appreciably by smoking or H pylori infection status. Limiting alcohol use during lifetime, particularly avoiding heavy use during early adulthood, might help prevent noncardia stomach cancer. Heterogeneous associations observed for cardia and noncardia cancers may indicate etiologic differences. © 2021 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.
Published: 2021

24. Oral contraceptive use and ovarian cancer risk for BRCA1/2 mutation carriers: an international cohort study

Author: Schrijver, L.H., Antoniou, A.C., Olsson, H., Mooij, T.M., Roos-Blom, M.J., Azarang, L., Adlard, J., Ahmed, M., Barrowdale, D., Davidson, R., Donaldson, A., Eeles, R., Evans, D.G., Frost, D., Henderson, A., Izatt, L., Ong, K.R., Bonadona, V., Coupier, I., Faivre, L., Fricker, J.P., Gesta, P., Engelen, K. van, Jager, A.., Menko, F.H., Mourits, M.J.E., Singer, C.F., Tan, Y.Y., Foretova, L., Navratilova, M., Schmutzler, R.K., Ellberg, C., Gerdes, A.M., Caldes, T., Simard, J., Olah, E., Jakubowska, A., Rantala, J., Osorio, A., Hopper, J.L., Phillips, K.A., Milne, R.L., Terry, M. Beth, Noguès, C., Engel, C., Kast, K., Goldgar, D.E., Leeuwen, F.E. van, Easton, D.F., Wevers, M.R., Mensenkamp, A.R., Andrieu, N., Rookus, Matti A., Schrijver, L.H., Antoniou, A.C., Olsson, H., Mooij, T.M., Roos-Blom, M.J., Azarang, L., Adlard, J., Ahmed, M., Barrowdale, D., Davidson, R., Donaldson, A., Eeles, R., Evans, D.G., Frost, D., Henderson, A., Izatt, L., Ong, K.R., Bonadona, V., Coupier, I., Faivre, L., Fricker, J.P., Gesta, P., Engelen, K. van, Jager, A.., Menko, F.H., Mourits, M.J.E., Singer, C.F., Tan, Y.Y., Foretova, L., Navratilova, M., Schmutzler, R.K., Ellberg, C., Gerdes, A.M., Caldes, T., Simard, J., Olah, E., Jakubowska, A., Rantala, J., Osorio, A., Hopper, J.L., Phillips, K.A., Milne, R.L., Terry, M. Beth, Noguès, C., Engel, C., Kast, K., Goldgar, D.E., Leeuwen, F.E. van, Easton, D.F., Wevers, M.R., Mensenkamp, A.R., Andrieu, N., and Rookus, Matti A.
Abstract: Contains fulltext : 237895.pdf (Publisher’s version ) (Open Access), BACKGROUND: Ovarian cancer risk in BRCA1 and BRCA2 mutation carriers has been shown to decrease with longer duration of oral contraceptive use. Although the effects of using oral contraceptives in the general population are well established (approximately 50% risk reduction in ovarian cancer), the estimated risk reduction in mutation carriers is much less precise because of potential bias and small sample sizes. In addition, only a few studies on oral contraceptive use have examined the associations of duration of use, time since last use, starting age, and calendar year of start with risk of ovarian cancer. OBJECTIVE: This study aimed to investigate in more detail the associations of various characteristics of oral contraceptive use and risk of ovarian cancer, to provide healthcare providers and carriers with better risk estimates. STUDY DESIGN: In this international retrospective study, ovarian cancer risk associations were assessed using oral contraceptives data on 3989 BRCA1 and 2445 BRCA2 mutation carriers. Age-dependent-weighted Cox regression analyses were stratified by study and birth cohort and included breast cancer diagnosis as a covariate. To minimize survival bias, analyses were left truncated at 5 years before baseline questionnaire. Separate analyses were conducted for each aspect of oral contraceptive use and in a multivariate analysis, including all these aspects. In addition, the analysis of duration of oral contraceptive use was stratified by recency of use. RESULTS: Oral contraceptives were less often used by mutation carriers who were diagnosed with ovarian cancer (ever use: 58.6% for BRCA1 and 53.5% BRCA2) than by unaffected carriers (ever use: 88.9% for BRCA1 and 80.7% for BRCA2). The median duration of use was 7 years for both BRCA1 and BRCA2 carriers who developed ovarian cancer and 9 and 8 years for unaffected BRCA1 and BRCA2 carriers with ovarian cancer, respectively. For BRCA1 mutation carriers, univariate analyses have shown that both a
Published: 2021

25. Methylation marks of prenatal exposure to maternal smoking and risk of cancer in adulthood.

Author: Dugue P.-A., Hodge A.M., Wong E.M., Joo J.E., Jung C.-H., Hopper J.L., English D.R., Giles G.G., Milne R.L., Southey M.C., Dugue P.-A., Hodge A.M., Wong E.M., Joo J.E., Jung C.-H., Hopper J.L., English D.R., Giles G.G., Milne R.L., and Southey M.C.
Abstract: Background: Prenatal exposure to maternal smoking is detrimental to child health but its association with risk of cancer has seldom been investigated. Maternal smoking induces widespread and long-lasting DNA methylation changes, which we study here for association with risk of cancer in adulthood. Method(s): Eight prospective case-control studies nested within the Melbourne Collaborative Cohort Study were used to assess associations between maternal-smoking-associated methylation marks in blood and risk of several cancers: breast (n = 406 cases), colorectal (n = 814), gastric (n = 166), kidney (n = 139), lung (n = 327), prostate (n = 847) and urothelial (n = 404) cancer and B-cell lymphoma (n = 426). We used conditional logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between cancer and five methylation scores calculated as weighted averages for 568, 19, 15, 28 and 17 CpG sites. Models were adjusted for confounders, including personal smoking history (smoking status, pack-years, age at starting and quitting) and methylation scores for personal smoking. Result(s): All methylation scores for maternal smoking were strongly positively associated with risk of urothelial cancer. Risk estimates were only slightly attenuated after adjustment for smoking history, other potential confounders and methylation scores for personal smoking. Potential negative associations were observed with risk of lung cancer and B-cell lymphoma. No associations were observed for other cancers. Conclusion(s): We found that methylation marks of prenatal exposure to maternal smoking are associated with increased risk of urothelial cancer. Our study demonstrates the potential for using DNA methylation to investigate the impact of early-life, unmeasured exposures on later-life cancer risk.Copyright © 2020 The Author(s) 2020; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.
Published: 2021

26. Reducing socio-economic inequalities in all-cause mortality: A counterfactual mediation approach.

Author: Laine J.E., Baltar V.T., Stringhini S., Gandini M., Chadeau-Hyam M., Kivimaki M., Severi G., Perduca V., Hodge A.M., Dugue P.-A., Giles G.G., Milne R.L., Barros H., Sacerdote C., Krogh V., Panico S., Tumino R., Goldberg M., Zins M., Delpierre C., Laine J.E., Baltar V.T., Stringhini S., Gandini M., Chadeau-Hyam M., Kivimaki M., Severi G., Perduca V., Hodge A.M., Dugue P.-A., Giles G.G., Milne R.L., Barros H., Sacerdote C., Krogh V., Panico S., Tumino R., Goldberg M., Zins M., and Delpierre C.
Abstract: Background: Socio-economic inequalities in mortality are well established, yet the contribution of intermediate risk factors that may underlie these relationships remains unclear. We evaluated the role of multiple modifiable intermediate risk factors underlying socio- economic-associated mortality and quantified the potential impact of reducing early allcause mortality by hypothetically altering socio-economic risk factors. Method(s): Data were from seven cohort studies participating in the LIFEPATH Consortium (total n 179 090). Using both socio-economic position (SEP) (based on occupation) and education, we estimated the natural direct effect on all-cause mortality and the natural indirect effect via the joint mediating role of smoking, alcohol intake, dietary patterns, physical activity, body mass index, hypertension, diabetes and coronary artery disease. Hazard ratios (HRs) were estimated, using counterfactual natural effect models under different hypothetical actions of either lower or higher SEP or education. Result(s): Lower SEP and education were associated with an increase in all-cause mortality within an average follow-up time of 17.5 years. Mortality was reduced via modelled hypothetical actions of increasing SEP or education. Through higher education, the HR was 0.85 [95% confidence interval (CI) 0.84, 0.86] for women and 0.71 (95% CI 0.70, 0.74) for men, compared with lower education. In addition, 34% and 38% of the effect was jointly mediated for women and men, respectively. The benefits from altering SEP were slightly more modest. Conclusion(s): These observational findings support policies to reduce mortality both through improving socio-economic circumstances and increasing education, and by altering intermediaries, such as lifestyle behaviours and morbidities.Copyright © The Author(s) 2019.
Published: 2021

27. Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults.

Author: Zahed H., Ueland P.M., Midttun O., Milne R.L., Giles G.G., Manjer J., Sandsveden M., Langhammer A., Sorgjerd E.P., Grankvist K., Johansson M., Freedman N.D., Huang W.-Y., Chen C., Prentice R., Stevens V.L., Wang Y., Le Marchand L., Wilkens L.R., Weinstein S.J., Albanes D., Cai Q., Blot W.J., Arslan A.A., Zeleniuch-Jacquotte A., Shu X.-O., Zheng W., Yuan J.-M., Koh W.-P., Visvanathan K., Sesso H.D., Zhang X., Gaziano J.M., Fanidi A., Muller D., Brennan P., Guida F., Robbins H.A., Zahed H., Ueland P.M., Midttun O., Milne R.L., Giles G.G., Manjer J., Sandsveden M., Langhammer A., Sorgjerd E.P., Grankvist K., Johansson M., Freedman N.D., Huang W.-Y., Chen C., Prentice R., Stevens V.L., Wang Y., Le Marchand L., Wilkens L.R., Weinstein S.J., Albanes D., Cai Q., Blot W.J., Arslan A.A., Zeleniuch-Jacquotte A., Shu X.-O., Zheng W., Yuan J.-M., Koh W.-P., Visvanathan K., Sesso H.D., Zhang X., Gaziano J.M., Fanidi A., Muller D., Brennan P., Guida F., and Robbins H.A.
Abstract: Imbalances of blood biomarkers are associated with disease, and biomarkers may also vary non-pathologically across population groups. We described variation in concentrations of biomarkers of one-carbon metabolism, vitamin status, inflammation including tryptophan metabolism, and endothelial and renal function among cancer-free older adults. We analyzed 5167 cancer-free controls aged 40-80 years from 20 cohorts in the Lung Cancer Cohort Consortium (LC3). Centralized biochemical analyses of 40 biomarkers in plasma or serum were performed. We fit multivariable linear mixed effects models to quantify variation in standardized biomarker log-concentrations across four factors: age, sex, smoking status, and body mass index (BMI). Differences in most biomarkers across most factors were small, with 93% (186/200) of analyses showing an estimated difference lower than 0.25 standard-deviations, although most were statistically significant due to large sample size. The largest difference was for creatinine by sex, which was-0.91 standard-deviations lower in women than men (95%CI-0.98;-0.84). The largest difference by age was for total cysteine (0.40 standard-deviation increase per 10-year increase, 95%CI 0.36; 0.43), and by BMI was for C-reactive protein (0.38 standard-deviation increase per 5-kg/m2 increase, 95%CI 0.34; 0.41). For 31 of 40 markers, the mean difference between current and never smokers was larger than between former and never smokers. A statistically significant (p<0.05) association with time since smoking cessation was observed for 8 markers, including C-reactive protein, kynurenine, choline, and total homocysteine. We conclude that most blood biomarkers show small variations across demographic characteristics. Patterns by smoking status point to normalization of multiple physiological processes after smoking cessation.
Published: 2021

28. Smoking, alcohol consumption, body fatness, and risk of myelodysplastic syndromes: A prospective study.

Author: Jayasekara H., MacInnis R.J., Juneja S., Bassett J.K., Bruinsma F., Lynch B.M., Hodge A.M., Hopper J.L., English D.R., Giles G.G., Milne R.L., Jayasekara H., MacInnis R.J., Juneja S., Bassett J.K., Bruinsma F., Lynch B.M., Hodge A.M., Hopper J.L., English D.R., Giles G.G., and Milne R.L.
Published: 2021

29. Body size and weight change over adulthood and risk of breast cancer by menopausal and hormone receptor status: a pooled analysis of 20 prospective cohort studies.

Author: Sinha R., Rohan T.E., Sawada N., Schouten L.J., Stolzenberg-Solomon R.Z., Teras L.R., Tsugane S., Visvanathan K., Weiderpass E., White K.K., Willett W.C., Wolk A., Zeleniuch-Jacquotte A., Smith-Warner S.A., van den Brandt P.A., Ziegler R.G., Wang M., Hou T., Li R., Adami H.-O., Agnoli C., Bernstein L., Buring J.E., Chen Y., Connor A.E., Eliassen A.H., Genkinger J.M., Gierach G., Giles G.G., Goodman G.G., Hakansson N., Krogh V., Le Marchand L., Lee I.-M., Liao L.M., Martinez M.E., Miller A.B., Milne R.L., Neuhouser M.L., Patel A.V., Prizment A., Robien K., Sinha R., Rohan T.E., Sawada N., Schouten L.J., Stolzenberg-Solomon R.Z., Teras L.R., Tsugane S., Visvanathan K., Weiderpass E., White K.K., Willett W.C., Wolk A., Zeleniuch-Jacquotte A., Smith-Warner S.A., van den Brandt P.A., Ziegler R.G., Wang M., Hou T., Li R., Adami H.-O., Agnoli C., Bernstein L., Buring J.E., Chen Y., Connor A.E., Eliassen A.H., Genkinger J.M., Gierach G., Giles G.G., Goodman G.G., Hakansson N., Krogh V., Le Marchand L., Lee I.-M., Liao L.M., Martinez M.E., Miller A.B., Milne R.L., Neuhouser M.L., Patel A.V., Prizment A., and Robien K.
Abstract: Associations between anthropometric factors and breast cancer (BC) risk have varied inconsistently by estrogen and/or progesterone receptor (ER/PR) status. Associations between prediagnostic anthropometric factors and risk of premenopausal and postmenopausal BC overall and ER/PR status subtypes were investigated in a pooled analysis of 20 prospective cohorts, including 36,297 BC cases among 1,061,915 women, using multivariable Cox regression analyses, controlling for reproductive factors, diet and other risk factors. We estimated dose-response relationships and tested for nonlinear associations using restricted cubic splines. Height showed positive, linear associations for premenopausal and postmenopausal BC risk (6-7% RR increase per 5 cm increment), with stronger associations for receptor-positive subtypes. Body mass index (BMI) at cohort baseline was strongly inversely associated with premenopausal BC risk, and strongly positively-and nonlinearly-associated with postmenopausal BC (especially among women who never used hormone replacement therapy). This was primarily observed for receptor-positive subtypes. Early adult BMI (at 18-20 years) showed inverse, linear associations for premenopausal and postmenopausal BC risk (21% and 11% RR decrease per 5 kg/m2, respectively) with stronger associations for receptor-negative subtypes. Adult weight gain since 18-20 years was positively associated with postmenopausal BC risk, stronger for receptor-positive subtypes, and among women who were leaner in early adulthood. Women heavier in early adulthood generally had reduced premenopausal BC risk, independent of later weight gain. Positive associations between height, baseline (adult) BMI, adult weight gain and postmenopausal BC risk were substantially stronger for hormone receptor-positive versus negative subtypes. Premenopausal BC risk was positively associated with height, but inversely with baseline BMI and weight gain (mostly in receptor-positive subtypes). Inverse associ
Published: 2021

30. Author Correction: A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers (Nature Communications, (2021), 12, 1, (1078), 10.1038/s41467-020-20496-3).

Author: Coignard J., Lush M., Beesley J., O'Mara T.A., Dennis J., Tyrer J.P., Barnes D.R., McGuffog L., Leslie G., Bolla M.K., Agata S., Ahearn T., Aittomaki K., Andrulis I.L., Anton-Culver H., Arndt V., Arnold N., Aronson K.J., Arun B.K., Augustinsson A., Azzollini J., Barrowdale D., Baynes C., Becher H., Bermisheva M., Bernstein L., Bialkowska K., Blomqvist C., Bojesen S.E., Bonanni B., Borg A., Brauch H., Brenner H., Burwinkel B., Buys S.S., Caldes T., Caligo M.A., Campa D., Carter B.D., Castelao J.E., Chang-Claude J., Chanock S.J., Chung W.K., Claes K.B.M., Clarke C.L., Bertrand O., Caputo S., Dupre A., Le Mentec M., Belotti M., Birot A.-M., Buecher B., Fourme E., Gauthier-Villars M., Golmard L., Houdayer C., Moncoutier V., de Pauw A., Saule C., Sinilnikova O., Mazoyer S., Damiola F., Barjhoux L., Verny-Pierre C., Leone M., Boutry-Kryza N., Calender A., Giraud S., Caron O., Guillaud-Bataille M., Bressac-de-Paillerets B., Bignon Y.-J., Uhrhammer N., Lasset C., Bonadona V., Berthet P., Vaur D., Castera L., Popovici C., Sobol H., Bourdon V., Noguchi T., Remenieras A., Nogues C., Coupier I., Pujol P., Dumont A., Revillion F., Adenis C., Muller D., Barouk-Simonet E., Bonnet F., Bubien V., Sevenet N., Longy M., Toulas C., Guimbaud R., Gladieff L., Feillel V., Leroux D., Dreyfus H., Rebischung C., Peysselon M., Coron F., Faivre L., Baurand A., Jacquot C., Bertolone G., Lizard S., Prieur F., Lebrun M., Kientz C., Ferrer S.F., Mari V., Venat-Bouvet L., Delnatte C., Bezieau S., Mortemousque I., Coulet F., Colas C., Soubrier F., Warcoin M., Sokolowska J., Bronner M., Collonge-Rame M.-A., Damette A., Gesta P., Lallaoui H., Chiesa J., Molina-Gomes D., Ingster O., Gregory H., Miedzybrodzka Z., Morrison P.J., Ong K.-R., Donaldson A., Rogers M.T., Kennedy M.J., Porteous M.E., Brewer C., Davidson R., Izatt L., Brady A., Barwell J., Adlard J., Foo C., Lalloo F., Side L.E., Eason J., Henderson A., Walker L., Eeles R.A., Cook J., Snape K., Eccles D., Murray A., McCann E., Conroy D.M., Czene K., Daly M.B., Devilee P., Diez O., Ding Y.C., Domchek S.M., Dork T., dos-Santos-Silva I., Dunning A.M., Dwek M., Eccles D.M., Eliassen A.H., Engel C., Eriksson M., Evans D.G., Fasching P.A., Flyger H., Fostira F., Friedman E., Fritschi L., Frost D., Gago-Dominguez M., Gapstur S.M., Garber J., Garcia-Barberan V., Garcia-Closas M., Garcia-Saenz J.A., Gaudet M.M., Gayther S.A., Gehrig A., Georgoulias V., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Gonzalez-Neira A., Greene M.H., Guenel P., Haeberle L., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Harrington P.A., Hart S.N., He W., Hogervorst F.B.L., Hollestelle A., Hopper J.L., Horcasitas D.J., Hulick P.J., Hunter D.J., Imyanitov E.N., Fox S., Campbell I., Spurdle A., Webb P., de Fazio A., Tassell M., Kirk J., Lindeman G., Price M., Southey M., Milne R., Deb S., Bowtell D., van der Hout A.H., van den Ouweland A.M.W., Mensenkamp A.R., van Deurzen C.H.M., Kets C.M., Seynaeve C., van Asperen C.J., Aalfs C.M., Gomez Garcia E.B., van Leeuwen F.E., de Bock G.H., Meijers-Heijboer H.E.J., Obdeijn I.M., Collee J.M., Gille J.J.P., Oosterwijk J.C., Wijnen J.T., van der Kolk L.E., Hooning M.J., Ausems M.G.E.M., Mourits M.J.E., Blok M.J., Rookus M.A., Adank M.A., van der Luijt R.B., van Cronenburg T.C.T.E.F., van der Pol C.C., Russell N.S., Siesling S., Overbeek L., Wijnands R., de Lange J.L., Clarke C., Graham D., Sachchithananthan M., Marsh D., Scott R., Baxter R., Yip D., Carpenter J., Davis A., Pathmanathan N., Simpson P., Jager A., Jakubowska A., James P.A., Jensen U.B., John E.M., Jones M.E., Kaaks R., Kapoor P.M., Karlan B.Y., Keeman R., Khusnutdinova E., Kiiski J.I., Ko Y.-D., Kosma V.-M., Kraft P., Kurian A.W., Laitman Y., Lambrechts D., Le Marchand L., Lester J., Lesueur F., Lindstrom T., Lopez-Fernandez A., Loud J.T., Luccarini C., Mannermaa A., Manoukian S., Margolin S., Martens J.W.M., Mebirouk N., Meindl A., Miller A., Milne R.L., Montagna M., Nathanson K.L., Neuhausen S.L., Nevanlinna H., Nielsen F.C., O'Brien K.M., Olopade O.I., Olson J.E., Olsson H., Osorio A., Ottini L., Park-Simon T.-W., Parsons M.T., Pedersen I.S., Peshkin B., Peterlongo P., Peto J., Pharoah P.D.P., Phillips K.-A., Polley E.C., Poppe B., Presneau N., Pujana M.A., Punie K., Radice P., Rantala J., Rashid M.U., Rennert G., Rennert H.S., Robson M., Romero A., Rossing M., Saloustros E., Sandler D.P., Santella R., Scheuner M.T., Schmidt M.K., Schmidt G., Scott C., Sharma P., Soucy P., Southey M.C., Spinelli J.J., Steinsnyder Z., Stone J., Stoppa-Lyonnet D., Swerdlow A., Tamimi R.M., Tapper W.J., Taylor J.A., Terry M.B., Teule A., Thull D.L., Tischkowitz M., Toland A.E., Torres D., Trainer A.H., Truong T., Tung N., Vachon C.M., Vega A., Vijai J., Wang Q., Wappenschmidt B., Weinberg C.R., Weitzel J.N., Wendt C., Wolk A., Yadav S., Yang X.R., Yannoukakos D., Zheng W., Ziogas A., Zorn K.K., Park S.K., Thomassen M., Offit K., Schmutzler R.K., Couch F.J., Simard J., Chenevix-Trench G., Easton D.F., Andrieu N., Antoniou A.C., Coignard J., Lush M., Beesley J., O'Mara T.A., Dennis J., Tyrer J.P., Barnes D.R., McGuffog L., Leslie G., Bolla M.K., Agata S., Ahearn T., Aittomaki K., Andrulis I.L., Anton-Culver H., Arndt V., Arnold N., Aronson K.J., Arun B.K., Augustinsson A., Azzollini J., Barrowdale D., Baynes C., Becher H., Bermisheva M., Bernstein L., Bialkowska K., Blomqvist C., Bojesen S.E., Bonanni B., Borg A., Brauch H., Brenner H., Burwinkel B., Buys S.S., Caldes T., Caligo M.A., Campa D., Carter B.D., Castelao J.E., Chang-Claude J., Chanock S.J., Chung W.K., Claes K.B.M., Clarke C.L., Bertrand O., Caputo S., Dupre A., Le Mentec M., Belotti M., Birot A.-M., Buecher B., Fourme E., Gauthier-Villars M., Golmard L., Houdayer C., Moncoutier V., de Pauw A., Saule C., Sinilnikova O., Mazoyer S., Damiola F., Barjhoux L., Verny-Pierre C., Leone M., Boutry-Kryza N., Calender A., Giraud S., Caron O., Guillaud-Bataille M., Bressac-de-Paillerets B., Bignon Y.-J., Uhrhammer N., Lasset C., Bonadona V., Berthet P., Vaur D., Castera L., Popovici C., Sobol H., Bourdon V., Noguchi T., Remenieras A., Nogues C., Coupier I., Pujol P., Dumont A., Revillion F., Adenis C., Muller D., Barouk-Simonet E., Bonnet F., Bubien V., Sevenet N., Longy M., Toulas C., Guimbaud R., Gladieff L., Feillel V., Leroux D., Dreyfus H., Rebischung C., Peysselon M., Coron F., Faivre L., Baurand A., Jacquot C., Bertolone G., Lizard S., Prieur F., Lebrun M., Kientz C., Ferrer S.F., Mari V., Venat-Bouvet L., Delnatte C., Bezieau S., Mortemousque I., Coulet F., Colas C., Soubrier F., Warcoin M., Sokolowska J., Bronner M., Collonge-Rame M.-A., Damette A., Gesta P., Lallaoui H., Chiesa J., Molina-Gomes D., Ingster O., Gregory H., Miedzybrodzka Z., Morrison P.J., Ong K.-R., Donaldson A., Rogers M.T., Kennedy M.J., Porteous M.E., Brewer C., Davidson R., Izatt L., Brady A., Barwell J., Adlard J., Foo C., Lalloo F., Side L.E., Eason J., Henderson A., Walker L., Eeles R.A., Cook J., Snape K., Eccles D., Murray A., McCann E., Conroy D.M., Czene K., Daly M.B., Devilee P., Diez O., Ding Y.C., Domchek S.M., Dork T., dos-Santos-Silva I., Dunning A.M., Dwek M., Eccles D.M., Eliassen A.H., Engel C., Eriksson M., Evans D.G., Fasching P.A., Flyger H., Fostira F., Friedman E., Fritschi L., Frost D., Gago-Dominguez M., Gapstur S.M., Garber J., Garcia-Barberan V., Garcia-Closas M., Garcia-Saenz J.A., Gaudet M.M., Gayther S.A., Gehrig A., Georgoulias V., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Gonzalez-Neira A., Greene M.H., Guenel P., Haeberle L., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Harrington P.A., Hart S.N., He W., Hogervorst F.B.L., Hollestelle A., Hopper J.L., Horcasitas D.J., Hulick P.J., Hunter D.J., Imyanitov E.N., Fox S., Campbell I., Spurdle A., Webb P., de Fazio A., Tassell M., Kirk J., Lindeman G., Price M., Southey M., Milne R., Deb S., Bowtell D., van der Hout A.H., van den Ouweland A.M.W., Mensenkamp A.R., van Deurzen C.H.M., Kets C.M., Seynaeve C., van Asperen C.J., Aalfs C.M., Gomez Garcia E.B., van Leeuwen F.E., de Bock G.H., Meijers-Heijboer H.E.J., Obdeijn I.M., Collee J.M., Gille J.J.P., Oosterwijk J.C., Wijnen J.T., van der Kolk L.E., Hooning M.J., Ausems M.G.E.M., Mourits M.J.E., Blok M.J., Rookus M.A., Adank M.A., van der Luijt R.B., van Cronenburg T.C.T.E.F., van der Pol C.C., Russell N.S., Siesling S., Overbeek L., Wijnands R., de Lange J.L., Clarke C., Graham D., Sachchithananthan M., Marsh D., Scott R., Baxter R., Yip D., Carpenter J., Davis A., Pathmanathan N., Simpson P., Jager A., Jakubowska A., James P.A., Jensen U.B., John E.M., Jones M.E., Kaaks R., Kapoor P.M., Karlan B.Y., Keeman R., Khusnutdinova E., Kiiski J.I., Ko Y.-D., Kosma V.-M., Kraft P., Kurian A.W., Laitman Y., Lambrechts D., Le Marchand L., Lester J., Lesueur F., Lindstrom T., Lopez-Fernandez A., Loud J.T., Luccarini C., Mannermaa A., Manoukian S., Margolin S., Martens J.W.M., Mebirouk N., Meindl A., Miller A., Milne R.L., Montagna M., Nathanson K.L., Neuhausen S.L., Nevanlinna H., Nielsen F.C., O'Brien K.M., Olopade O.I., Olson J.E., Olsson H., Osorio A., Ottini L., Park-Simon T.-W., Parsons M.T., Pedersen I.S., Peshkin B., Peterlongo P., Peto J., Pharoah P.D.P., Phillips K.-A., Polley E.C., Poppe B., Presneau N., Pujana M.A., Punie K., Radice P., Rantala J., Rashid M.U., Rennert G., Rennert H.S., Robson M., Romero A., Rossing M., Saloustros E., Sandler D.P., Santella R., Scheuner M.T., Schmidt M.K., Schmidt G., Scott C., Sharma P., Soucy P., Southey M.C., Spinelli J.J., Steinsnyder Z., Stone J., Stoppa-Lyonnet D., Swerdlow A., Tamimi R.M., Tapper W.J., Taylor J.A., Terry M.B., Teule A., Thull D.L., Tischkowitz M., Toland A.E., Torres D., Trainer A.H., Truong T., Tung N., Vachon C.M., Vega A., Vijai J., Wang Q., Wappenschmidt B., Weinberg C.R., Weitzel J.N., Wendt C., Wolk A., Yadav S., Yang X.R., Yannoukakos D., Zheng W., Ziogas A., Zorn K.K., Park S.K., Thomassen M., Offit K., Schmutzler R.K., Couch F.J., Simard J., Chenevix-Trench G., Easton D.F., Andrieu N., and Antoniou A.C.
Abstract: The original version of this Article contained an error in the spelling of the author Heiko Becher, which was incorrectly given as Heko Becher. This has now been corrected in both the PDF and HTML versions of the Article.Copyright © 2021, The Author(s).
Published: 2021

31. Diet and risk of gastro-oesophageal reflux disease in the Melbourne Collaborative Cohort Study.

Author: Wang S.E., Hodge A.M., Dashti S.G., Dixon-Suen S.C., Mitchell H., Thomas R.J., Williamson E.M., Makalic E., Boussioutas A., Haydon A.M., Giles G.G., Milne R.L., Kendall B.J., English D.R., Wang S.E., Hodge A.M., Dashti S.G., Dixon-Suen S.C., Mitchell H., Thomas R.J., Williamson E.M., Makalic E., Boussioutas A., Haydon A.M., Giles G.G., Milne R.L., Kendall B.J., and English D.R.
Abstract: OBJECTIVE: To examine associations between diet and risk of developing gastro-oesophageal reflux disease (GERD). DESIGN: Prospective cohort with a median follow-up of 15.8 years. Baseline diet was measured using a FFQ. GERD was defined as self-reported current or history of daily heartburn or acid regurgitation beginning at least 2 years after baseline. Sex-specific logistic regressions were performed to estimate OR for GERD associated with diet quality scores and intakes of nutrients, food groups and individual foods and beverages. The effect of substituting saturated fat for monounsaturated or polyunsaturated fat on GERD risk was examined. SETTING: Melbourne, Australia. PARTICIPANTS: A cohort of 20 926 participants (62 % women) aged 40-59 years at recruitment between 1990 and 1994. RESULT(S): For men, total fat intake was associated with increased risk of GERD (OR 1.05 per 5 g/d; 95 % CI 1.01, 1.09; P = 0.016), whereas total carbohydrate (OR 0.89 per 30 g/d; 95 % CI 0.82, 0.98; P = 0.010) and starch intakes (OR 0.84 per 30 g/d; 95 % CI 0.75, 0.94; P = 0.005) were associated with reduced risk. Nutrients were not associated with risk for women. For both sexes, substituting saturated fat for polyunsaturated or monounsaturated fat did not change risk. For both sexes, fish, chicken, cruciferous vegetables and carbonated beverages were associated with increased risk, whereas total fruit and citrus were associated with reduced risk. No association was observed with diet quality scores. CONCLUSION(S): Diet is a possible risk factor for GERD, but food considered as triggers of GERD symptoms might not necessarily contribute to disease development. Potential differential associations for men and women warrant further investigation.
Published: 2021

32. Choosing Wisely in radiation therapy for breast cancer: Time lag in adoption of hypofractionated radiation therapy in Victoria.

Author: Foroudi F., Ong W.L., Khor R., Chao M., Milne R.L., Millar J., Foroudi F., Ong W.L., Khor R., Chao M., Milne R.L., and Millar J.
Abstract: Introduction: To evaluate the adoption of hypofractionated radiotherapy (HFRT) for breast cancer (BC) in Victoria, Australia. Method(s): This is a population-based cohort of women with BC who had breast RT as captured in the Victorian Radiotherapy Minimum Data Set between 2012 and 2017. We defined HFRT as < 25 fractions of RT. The pattern of HFRT use over time was evaluated with the Cochrane-Armitage test for trend. Factors associated with HFRT were identified using multivariable logistic regression. Result(s): 12,717 women were included in the study. Overall, 6,653 (52%) patients had HFRT. HFRT use increased from 35% in 2012 to 66% in 2017 (P-trend < 0.001). Older women were more likely to have HFRT (74% for women aged >= 70 years vs. 27% for women aged < 50 years; P < 0.001). Women who had nodal irradiation were less likely to have HFRT compared with those who did not (13% vs. 57%; P < 0.001). HFRT use was more common in public than private institutions (57% vs. 46%, P < 0.001), and in metropolitan than regional centres (54% vs. 46%, P < 0.001). In multivariable analyses, the progressive increase in HFRT use over time was independent of other covariates - women treated in 2017 were 7.3 times (95% CI = 6.3-8.6, P < 0.001) more likely to be treated with HFRT than in 2012. Age at RT, nodal irradiation, area of residence and institutional type and locations were all independently associated with HFRT use. Conclusion(s): This large Australian contemporary population-based study demonstrates increasing use of HFRT for BC. However, large sociodemographic and institutional provider-related variations in practice still exist.Copyright © 2021 The Royal Australian and New Zealand College of Radiologists
Published: 2021

33. Smoking Methylation Marks for Prediction of Urothelial Cancer Risk.

Author: Yu C., Jordahl K.M., Bassett J.K., Joo J.E., Wong E.M., Brinkman M.T., Schmidt D.F., Bolton D.M., Makalic E., Brasky T.M., Shadyab A.H., Tinker L.F., Longano A., Hopper J.L., English D.R., Milne R.L., Bhatti P., Southey M.C., Giles G.G., Dugue P.-A., Yu C., Jordahl K.M., Bassett J.K., Joo J.E., Wong E.M., Brinkman M.T., Schmidt D.F., Bolton D.M., Makalic E., Brasky T.M., Shadyab A.H., Tinker L.F., Longano A., Hopper J.L., English D.R., Milne R.L., Bhatti P., Southey M.C., Giles G.G., and Dugue P.-A.
Abstract: Background: Self-reported information may not accurately capture smoking exposure. We aimed to evaluate whether smoking-associated DNA methylation markers improve urothelial cell carcinoma (UCC) risk prediction. Method(s): Conditional logistic regression was used to assess associations between blood-based methylation and UCC risk using two matched case-control samples: 404 pairs from the Melbourne Collaborative Cohort Study (MCCS) and 440 pairs from the Women's Health Initiative (WHI) cohort. Results were pooled using fixed-effects meta-analysis. We developed methylation-based predictors of UCC and evaluated their prediction accuracy on two replication data sets using the area under the curve (AUC). Result(s): The meta-analysis identified associations (P < 4.7 X 10-5) for 29 of 1,061 smoking-associated methylation sites, but these were substantially attenuated after adjustment for self-reported smoking. Nominally significant associations (P < 0.05) were found for 387 (36%) and 86 (8%) of smoking-associated markers without/with adjustment for self-reported smoking, respectively, with same direction of association as with smoking for 387 (100%) and 79 (92%) markers. A Lasso-based predictor was associated with UCC risk in one replication data set in MCCS [N 1/4 134; odds ratio per SD (OR) 1/4 1.37; 95% CI, 1.00-1.90] after confounder adjustment; AUC 1/4 0.66, compared with AUC 1/4 0.64 without methylation information. Limited evidence of replication was found in the second testing data set in WHI (N 1/4 440; OR 1/4 1.09; 95% CI, 0.91-1.30). Conclusion(s): Combination of smoking-associated methylation marks may provide some improvement to UCC risk prediction. Our findings need further evaluation using larger data sets. Impact: DNA methylation may be associated with UCC risk beyond traditional smoking assessment and could contribute to some improvements in stratification of UCC risk in the general population.Copyright ©2021 American Association for Cancer Research
Published: 2021

34. Response to Li and Hopper.

Author: Thomas M., Sakoda L.C., Hoffmeister M., Rosenthal E.A., Lee J.K., van Duijnhoven F.J.B., Platz E.A., Wu A.H., Dampier C.H., de la Chapelle A., Wolk A., Joshi A.D., Burnett-Hartman A., Gsur A., Lindblom A., Castells A., Win A.K., Namjou B., Van Guelpen B., Tangen C.M., He Q., Li C.I., Schafmayer C., Joshu C.E., Ulrich C.M., Bishop D.T., Buchanan D.D., Schaid D., Drew D.A., Muller D.C., Duggan D., Crosslin D.R., Albanes D., Giovannucci E.L., Larson E., Qu F., Mentch F., Giles G.G., Hakonarson H., Hampel H., Stanaway I.B., Figueiredo J.C., Huyghe J.R., Minnier J., Chang-Claude J., Hampe J., Harley J.B., Visvanathan K., Curtis K.R., Offit K., Li L., Le Marchand L., Vodickova L., Gunter M.J., Jenkins M.A., Slattery M.L., Lemire M., Woods M.O., Song M., Murphy N., Lindor N.M., Dikilitas O., Pharoah P.D.P., Campbell P.T., Newcomb P.A., Milne R.L., MacInnis R.J., Castellvi-Bel S., Ogino S., Berndt S.I., Bezieau S., Thibodeau S.N., Gallinger S.J., Zaidi S.H., Harrison T.A., Keku T.O., Hudson T.J., Vymetalkova V., Moreno V., Martin V., Arndt V., Wei W.-Q., Chung W., Su Y.-R., Hayes R.B., White E., Vodicka P., Casey G., Gruber S.B., Schoen R.E., Chan A.T., Potter J.D., Brenner H., Jarvik G.P., Corley D.A., Peters U., Hsu L., Thomas M., Sakoda L.C., Hoffmeister M., Rosenthal E.A., Lee J.K., van Duijnhoven F.J.B., Platz E.A., Wu A.H., Dampier C.H., de la Chapelle A., Wolk A., Joshi A.D., Burnett-Hartman A., Gsur A., Lindblom A., Castells A., Win A.K., Namjou B., Van Guelpen B., Tangen C.M., He Q., Li C.I., Schafmayer C., Joshu C.E., Ulrich C.M., Bishop D.T., Buchanan D.D., Schaid D., Drew D.A., Muller D.C., Duggan D., Crosslin D.R., Albanes D., Giovannucci E.L., Larson E., Qu F., Mentch F., Giles G.G., Hakonarson H., Hampel H., Stanaway I.B., Figueiredo J.C., Huyghe J.R., Minnier J., Chang-Claude J., Hampe J., Harley J.B., Visvanathan K., Curtis K.R., Offit K., Li L., Le Marchand L., Vodickova L., Gunter M.J., Jenkins M.A., Slattery M.L., Lemire M., Woods M.O., Song M., Murphy N., Lindor N.M., Dikilitas O., Pharoah P.D.P., Campbell P.T., Newcomb P.A., Milne R.L., MacInnis R.J., Castellvi-Bel S., Ogino S., Berndt S.I., Bezieau S., Thibodeau S.N., Gallinger S.J., Zaidi S.H., Harrison T.A., Keku T.O., Hudson T.J., Vymetalkova V., Moreno V., Martin V., Arndt V., Wei W.-Q., Chung W., Su Y.-R., Hayes R.B., White E., Vodicka P., Casey G., Gruber S.B., Schoen R.E., Chan A.T., Potter J.D., Brenner H., Jarvik G.P., Corley D.A., Peters U., and Hsu L.
Published: 2021

35. Trends in Conservative Management for Low-risk Prostate Cancer in a Population-based Cohort of Australian Men Diagnosed Between 2009 and 2016.

Author: Ong W.L., Evans S.M., Evans M., Tacey M., Dodds L., Kearns P., Milne R.L., Foroudi F., Millar J., Ong W.L., Evans S.M., Evans M., Tacey M., Dodds L., Kearns P., Milne R.L., Foroudi F., and Millar J.
Abstract: Conservative management, specifically with active surveillance (AS), has emerged as the preferred approach for low-risk prostate cancer (LRPC). We evaluated the trend for conservative management (ie, no active treatment within 12 mo of diagnosis) for LRPC in an Australian population-based cohort of men captured in the Prostate Cancer Outcomes Registry Victoria (PCOR-Vic). Of the 3201 men diagnosed with LRPC between January 2009 and December 2016, 60% (1928/3201) had conservative management, and 52% (1664/3201) were documented to be on AS. There was an increase in conservative management from 52% in 2009 to 73% in 2016 (p < 0.001), largely attributable to an increase in AS from 33% in 2009 to 67% in 2016 (p < 0.001). When stratified by age group, the increase in conservative management was more pronounced among younger patients: from 37% to 66% for men aged <60 yr versus from 72% to 86% for men aged >=70 yr. In multivariable analyses, increasing age, lower prostate-specific antigen and clinical category, lower socioeconomic status, and being diagnosed in public metropolitan institutions were all independently associated with a greater likelihood of conservative management. Identification of sociodemographic and institutional variations in practice allows for targeted strategies to improve management for men with LRPC. Patient Summary: We looked at the uptake of conservative management (no active treatment within 12 mo of diagnosis) over time in an Australian population-based cohort of men with low-risk prostate cancer. The proportion of men with low-risk prostate cancer managed conservatively increased from 52% in 2009 to 73% in 2016. The increase in the uptake of conservative management for low-risk prostate cancer in Australia is concordant with international guidelines and other international population-based studies.Copyright © 2019 European Association of Urology
Published: 2021

36. Ovarian cancer risk factor associations by primary anatomic site: The ovarian cancer cohort consortium.

Author: Fortner R.T., Rice M.S., Knutsen S.F., Orlich M.J., Visvanathan K., Patel A.V., Gaudet M.M., Tjonneland A., Kvaskoff M., Kaaks R., Trichopolou A., Pala V., Charlotte Onland-Moret N., Gram I.T., Amiano P., Idahl A., Allen N.E., Weiderpass E., Poynter J.N., Robien K., Giles G.G., Milne R.L., Setiawan V.W., Merritt M.A., Van Den Brandt P.A., Zeleniuch-Jacquotte A., Arslan A.A., O'Brien K.M., Sandler D.P., Wolk A., Hakansson N., Harris H.R., Trabert B., Wentzensen N., Tworoger S.S., Schouten L.J., Fortner R.T., Rice M.S., Knutsen S.F., Orlich M.J., Visvanathan K., Patel A.V., Gaudet M.M., Tjonneland A., Kvaskoff M., Kaaks R., Trichopolou A., Pala V., Charlotte Onland-Moret N., Gram I.T., Amiano P., Idahl A., Allen N.E., Weiderpass E., Poynter J.N., Robien K., Giles G.G., Milne R.L., Setiawan V.W., Merritt M.A., Van Den Brandt P.A., Zeleniuch-Jacquotte A., Arslan A.A., O'Brien K.M., Sandler D.P., Wolk A., Hakansson N., Harris H.R., Trabert B., Wentzensen N., Tworoger S.S., and Schouten L.J.
Abstract: Background: Epithelial ovarian, fallopian tube, and primary peritoneal cancers have shared developmental pathways. Few studies have prospectively examined heterogeneity in risk factor associations across these three anatomic sites. Method(s): We identified 3,738 ovarian, 337 peritoneal, and 176 fallopian tube incident cancer cases in 891,731 women from 15 prospective cohorts in the Ovarian Cancer Cohort Consortium. Associations between 18 putative risk factors and risk of ovarian, peritoneal, and fallopian tube cancer, overall and for serous and high-grade serous tumors, were evaluated using competing risks Cox proportional hazards regression. Heterogeneity was assessed by likelihood ratio tests. Result(s): Most associations did not vary by tumor site (Phet >= 0.05). Associations between first pregnancy (Phet 1/4 0.04), tubal ligation (Phet 1/4 0.01), and early-adult (age 18-21 years) body mass index (BMI; Phet 1/4 0.02) and risk differed between ovarian and peritoneal cancers. The association between early-adult BMI and risk further differed between peritoneal and fallopian tube cancer (Phet 1/4 0.03). First pregnancy and tubal ligation were inversely associated with ovarian, but not peritoneal, cancer. Higher early-adult BMI was associated with higher risk of peritoneal, but not ovarian or fallopian tube, cancer. Patterns were generally similar when restricted to serous and high-grade serous cases. Conclusion(s): Ovarian, fallopian tube, and primary peritoneal cancers appear to have both shared and distinct etiologic pathways, although most risk factors appear to have similar associations by anatomic site. Impact: Further studies on the mechanisms underlying the differences in risk profiles may provide insights regarding the developmental origins of tumors arising in the peritoneal cavity and inform prevention efforts.Copyright © 2020 American Association for Cancer Research.
Published: 2021

37. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging.

Author: McCartney D.L., Min J.L., Richmond R.C., Lu A.T., Sobczyk M.K., Davies G., Broer L., Guo X., Jeong A., Jung J., Kasela S., Katrinli S., Kuo P.-L., Matias-Garcia P.R., Mishra P.P., Nygaard M., Palviainen T., Patki A., Raffield L.M., Ratliff S.M., Richardson T.G., Robinson O., Soerensen M., Sun D., Tsai P.-C., van der Zee M.D., Walker R.M., Wang X., Wang Y., Xia R., Xu Z., Yao J., Zhao W., Correa A., Boerwinkle E., Dugue P.-A., Durda P., Elliott H.R., Gieger C., de Geus E.J.C., Harris S.E., Hemani G., Imboden M., Kahonen M., Kardia S.L.R., Kresovich J.K., Li S., Lunetta K.L., Mangino M., Mason D., McIntosh A.M., Mengel-From J., Moore A.Z., Murabito J.M., Ollikainen M., Pankow J.S., Pedersen N.L., Peters A., Polidoro S., Porteous D.J., Raitakari O., Rich S.S., Sandler D.P., Sillanpaa E., Smith A.K., Southey M.C., Strauch K., Tiwari H., Tanaka T., Tillin T., Uitterlinden A.G., Van Den Berg D.J., van Dongen J., Wilson J.G., Wright J., Yet I., Arnett D., Bandinelli S., Bell J.T., Binder A.M., Boomsma D.I., Chen W., Christensen K., Conneely K.N., Elliott P., Ferrucci L., Fornage M., Hagg S., Hayward C., Irvin M., Kaprio J., Lawlor D.A., Lehtimaki T., Lohoff F.W., Milani L., Milne R.L., Probst-Hensch N., Reiner A.P., Ritz B., Rotter J.I., Smith J.A., Taylor J.A., van Meurs J.B.J., Vineis P., Waldenberger M., Deary I.J., Relton C.L., Horvath S., Marioni R.E., McCartney D.L., Min J.L., Richmond R.C., Lu A.T., Sobczyk M.K., Davies G., Broer L., Guo X., Jeong A., Jung J., Kasela S., Katrinli S., Kuo P.-L., Matias-Garcia P.R., Mishra P.P., Nygaard M., Palviainen T., Patki A., Raffield L.M., Ratliff S.M., Richardson T.G., Robinson O., Soerensen M., Sun D., Tsai P.-C., van der Zee M.D., Walker R.M., Wang X., Wang Y., Xia R., Xu Z., Yao J., Zhao W., Correa A., Boerwinkle E., Dugue P.-A., Durda P., Elliott H.R., Gieger C., de Geus E.J.C., Harris S.E., Hemani G., Imboden M., Kahonen M., Kardia S.L.R., Kresovich J.K., Li S., Lunetta K.L., Mangino M., Mason D., McIntosh A.M., Mengel-From J., Moore A.Z., Murabito J.M., Ollikainen M., Pankow J.S., Pedersen N.L., Peters A., Polidoro S., Porteous D.J., Raitakari O., Rich S.S., Sandler D.P., Sillanpaa E., Smith A.K., Southey M.C., Strauch K., Tiwari H., Tanaka T., Tillin T., Uitterlinden A.G., Van Den Berg D.J., van Dongen J., Wilson J.G., Wright J., Yet I., Arnett D., Bandinelli S., Bell J.T., Binder A.M., Boomsma D.I., Chen W., Christensen K., Conneely K.N., Elliott P., Ferrucci L., Fornage M., Hagg S., Hayward C., Irvin M., Kaprio J., Lawlor D.A., Lehtimaki T., Lohoff F.W., Milani L., Milne R.L., Probst-Hensch N., Reiner A.P., Ritz B., Rotter J.I., Smith J.A., Taylor J.A., van Meurs J.B.J., Vineis P., Waldenberger M., Deary I.J., Relton C.L., Horvath S., and Marioni R.E.
Abstract: Background: Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. Result(s): Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels. Conclusion(s): This study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.Copyright © 2021, The Author(s).
Published: 2021

38. Correction to: The MLH1 polymorphism rs1800734 and risk of endometrial cancer with microsatellite instability (Clinical Epigenetics, (2020), 12, 1, (102), 10.1186/s13148-020-00889-3).

Author: O'Mara T.A., Milne R.L., Tomlinson I., Church D., Spurdle A.B., Lewis A., Russell H., Kedzierska K., Buchanan D.D., Thomas R., Tham E., Mints M., Keranen A., Giles G.G., Southey M.C., O'Mara T.A., Milne R.L., Tomlinson I., Church D., Spurdle A.B., Lewis A., Russell H., Kedzierska K., Buchanan D.D., Thomas R., Tham E., Mints M., Keranen A., Giles G.G., and Southey M.C.
Abstract: Following publication of the original article [1], an error was identified in the Acknowledgements section. The statement: "The research was funded/supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC)" should be added.Copyright © 2021, The Author(s).
Published: 2021

39. Breast cancer risk factors and survival by tumor subtype: Pooled analyses from the breast cancer association consortium.

Author: Morra A., Jung A.Y., Behrens S., Keeman R., Ahearn T.U., Anton-Culver H., Arndt V., Augustinsson A., Auvinen P.K., Beane Freeman L.E., Becher H., Beckmann M.W., Blomqvist C., Bojesen S.E., Bolla M.K., Brenner H., Briceno I., Brucker S.Y., Camp N.J., Campa D., Canzian F., Castelao J.E., Chanock S.J., Choi J.-Y., Clarke C.L., Couch F.J., Cox A., Cross S.S., Czene K., Dork T., Dunning A.M., Dwek M., Easton D.F., Eccles D.M., Egan K.M., Evans D.G., Fasching P.A., Flyger H., Gago-Dominguez M., Gapstur S.M., Garcia-Saenz J.A., Gaudet M.M., Giles G.G., Grip M., Guenel P., Haiman C.A., Hakansson N., Hall P., Hamann U., Han S.N., Hart S.N., Hartman M., Heyworth J.S., Hoppe R., Hopper J.L., Hunter D.J., Ito H., Jager A., Jakimovska M., Jakubowska A., Janni W., Kaaks R., Kang D., Kapoor P.M., Kitahara C.M., Koutros S., Kraft P., Kristensen V.N., Lacey J.V., Lambrechts D., Le Marchand L., Li J., Lindblom A., Lubi-Nski J., Lush M., Mannermaa A., Manoochehri M., Margolin S., Mariapun S., Matsuo K., Mavroudis D., Milne R.L., Muranen T.A., Newman W.G., Noh D.-Y., Nordestgaard B.G., Obi N., Olshan A.F., Olsson H., Park-Simon T.-W., Petridis C., Pharoah P.D.P., Plaseska-Karanfilska D., Presneau N., Rashid M.U., Rennert G., Rennert H.S., Rhenius V., Romero A., Saloustros E., Sawyer E.J., Schneeweiss A., Schwentner L., Scott C., Shah M., Shen C.-Y., Shu X.-O., Southey M.C., Stram D.O., Tamimi R.M., Tapper W., Tollenaar R.A.E.M., Tomlinson I., Torres D., Troester M.A., Therese Truong, Vachon C.M., Wang Q., Wang S.S., Williams J.A., Winqvist R., Wolk A., Wu A.H., Yoo K.-Y., Yu J.-C., Zheng W., Ziogas A., Yang X.R., Eliassen A.H., Holmes M.D., Garcia-Closas M., Teo S.H., Schmidt M.K., Chang-Claude J., Morra A., Jung A.Y., Behrens S., Keeman R., Ahearn T.U., Anton-Culver H., Arndt V., Augustinsson A., Auvinen P.K., Beane Freeman L.E., Becher H., Beckmann M.W., Blomqvist C., Bojesen S.E., Bolla M.K., Brenner H., Briceno I., Brucker S.Y., Camp N.J., Campa D., Canzian F., Castelao J.E., Chanock S.J., Choi J.-Y., Clarke C.L., Couch F.J., Cox A., Cross S.S., Czene K., Dork T., Dunning A.M., Dwek M., Easton D.F., Eccles D.M., Egan K.M., Evans D.G., Fasching P.A., Flyger H., Gago-Dominguez M., Gapstur S.M., Garcia-Saenz J.A., Gaudet M.M., Giles G.G., Grip M., Guenel P., Haiman C.A., Hakansson N., Hall P., Hamann U., Han S.N., Hart S.N., Hartman M., Heyworth J.S., Hoppe R., Hopper J.L., Hunter D.J., Ito H., Jager A., Jakimovska M., Jakubowska A., Janni W., Kaaks R., Kang D., Kapoor P.M., Kitahara C.M., Koutros S., Kraft P., Kristensen V.N., Lacey J.V., Lambrechts D., Le Marchand L., Li J., Lindblom A., Lubi-Nski J., Lush M., Mannermaa A., Manoochehri M., Margolin S., Mariapun S., Matsuo K., Mavroudis D., Milne R.L., Muranen T.A., Newman W.G., Noh D.-Y., Nordestgaard B.G., Obi N., Olshan A.F., Olsson H., Park-Simon T.-W., Petridis C., Pharoah P.D.P., Plaseska-Karanfilska D., Presneau N., Rashid M.U., Rennert G., Rennert H.S., Rhenius V., Romero A., Saloustros E., Sawyer E.J., Schneeweiss A., Schwentner L., Scott C., Shah M., Shen C.-Y., Shu X.-O., Southey M.C., Stram D.O., Tamimi R.M., Tapper W., Tollenaar R.A.E.M., Tomlinson I., Torres D., Troester M.A., Therese Truong, Vachon C.M., Wang Q., Wang S.S., Williams J.A., Winqvist R., Wolk A., Wu A.H., Yoo K.-Y., Yu J.-C., Zheng W., Ziogas A., Yang X.R., Eliassen A.H., Holmes M.D., Garcia-Closas M., Teo S.H., Schmidt M.K., and Chang-Claude J.
Abstract: Background: It is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype. Method(s): We analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer. specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype. Result(s): There was no evidence of heterogeneous associations between risk factors and mortality by subtype (Padj > 0.30). The strongest associations were between all-cause mortality and BMI >=30 versus 18.5.25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06-1.34)]; current versus never smoking [1.37 (1.27-1.47)], high versus low physical activity [0.43 (0.21-0.86)], age >=30 years versus <20 years at first pregnancy [0.79 (0.72-0.86)]; >0.<5 years versus >=10 years since last full-term birth [1.31 (1.11-1.55)]; ever versus never use of oral contraceptives [0.91 (0.87-0.96)]; ever versus never use of menopausal hormone therapy, including current estrogen.progestin therapy [0.61 (0.54.0.69)]. Similar associations with breast cancer mortality were weaker; for example, 1.11 (1.02-1.21) for current versus never smoking. Conclusion(s): We confirm associations between modifiable lifestyle factors and 10-year all-cause mortality. There was no strong evidence that associations differed by ER status or intrinsic-like subtype. Impact: Given the large dataset and lack of evidence that associations between modifiable risk factors and 10-year mortality differed by subtype, these associations could be cautiously used in prognostication models to inform patient-centered care.Copyright © 2021 American Association for Cancer Research.
Published: 2021

40. Changing pattern of radiation therapy for bone metastases in an Australian population-based cohort of men with prostate cancer.

Author: Ong W.L., Milne R.L., Foroudi F., Millar J.L., Ong W.L., Milne R.L., Foroudi F., and Millar J.L.
Abstract: Introduction: To evaluate the pattern of use of single-fraction conformal radiation therapy (SF-RT) and advanced radiation therapy techniques (ART), including stereotactic body radiation therapy (SBRT), for management of bone metastases (BM) in a population-based cohort of Australian men with prostate cancer (PCa) Patient and methods: We reviewed men with metastatic PCa who received RT for BM between 2012 and 2017 as captured in the statewide Victorian Radiotherapy Minimum Data Set (VRMDS). The primary outcomes were: proportion of RT courses using SF-RT and ART. The Cochrane-Armitage test for trend was used to evaluate the changing pattern of SF-RT and ART over time. Multivariate analyses were used to identify factors associated with the primary outcomes Results: Of the 4,324 courses of palliative RT for BM, 767 (17.7%) were SF-RT, and 615 (14.2%) were ART. There was no evidence of change in SF-RT use over time (P-trend=0.13). In multivariate analyses, increasing age at RT, site of BM (rib, shoulder, pelvis, and extremities), patients' area of residence (regional and remote), and treatment in public and metropolitan centres were associated with increased likelihood of SF-RT use. There was marked increase in ART use from 0.2% in 2012 to 24% in 2017 (11% intensity modulated RT, 13% SBRT) (P-trend<0.001). In multivariate analyses, younger age at RT, site of BM (rib and pelvis), higher socioeconomic status, and treatment in private and metropolitan centres were associated with increased likelihood of ART use. Conclusion(s): SF-RT continues to be a clear minority of RT schedules employed in management of BM in PCa, and the adoption of SF-RT use should be encouraged in men with limited prognosis. There has been increasing use of ART, especially SBRT, for BM in PCa over time, and we expect this will continue to increase in the era of metastatic-directed treatment for PCa.Copyright © 2021 Elsevier Inc.
Published: 2021

41. Survival from breast cancer in women with a BRCA2 mutation by treatment.

Author: Evans D.G., Phillips K.-A., Milne R.L., Fruscio R., Cybulski C., Gronwald J., Lubinski J., Huzarski T., Hyder Z., Forde C., Metcalfe K., Senter L., Weitzel J., Tung N., Zakalik D., Ekholm M., Sun P., Narod S.A., Evans D.G., Phillips K.-A., Milne R.L., Fruscio R., Cybulski C., Gronwald J., Lubinski J., Huzarski T., Hyder Z., Forde C., Metcalfe K., Senter L., Weitzel J., Tung N., Zakalik D., Ekholm M., Sun P., and Narod S.A.
Abstract: BACKGROUND: The impact of various breast-cancer treatments on patients with a BRCA2 mutation has not been studied. We sought to estimate the impact of bilateral oophorectomy and other treatments on breast cancer-specific survival among patients with a germline BRCA2 mutation. METHOD(S): We identified 664 women with stage I-III breast cancer and a BRCA2 mutation by combining five different datasets (retrospective and prospective). Subjects were followed for 7.2 years from diagnosis to death from breast cancer. Tumour characteristics and cancer treatments were patient-reported and derived from medical records. Predictors of survival were determined using Cox proportional hazard models, adjusted for other treatments and for prognostic features. RESULT(S): The 10-year breast-cancer survival for ER-positive patients was 78.9% and for ER-negative patients was 82.3% (adjusted HR=1.23 (95% CI, 0.62-2.45, p=0.55)). The 10-year breast-cancer survival for women who had a bilateral oophorectomy was 89.1% and for women who did not have an oophorectomy was 59.0% (adjusted HR=0.45; 95% CI, 0.28-0.72, p=0.001). The adjusted hazard ratio for chemotherapy was 0.83 (95% CI, 0.65-1.53: p=0.56). CONCLUSION(S): For women with breast cancer and a germline BRCA2 mutation, positive ER status does not predict superior survival. Oophorectomy is associated with a reduced risk of death from breast cancer and should be considered in the treatment plan.
Published: 2021

42. Association of variably methylated tumour DNA regions with overall survival for invasive lobular breast cancer.

Author: Suman M., Dugue P.-A., Wong E.M., Joo J.H.E., Hopper J.L., Nguyen-Dumont T., Giles G.G., Milne R.L., McLean C., Southey M.C., Suman M., Dugue P.-A., Wong E.M., Joo J.H.E., Hopper J.L., Nguyen-Dumont T., Giles G.G., Milne R.L., McLean C., and Southey M.C.
Abstract: Background: Tumour DNA methylation profiling has shown potential to refine disease subtyping and improve the diagnosis and prognosis prediction of breast cancer. However, limited data exist regarding invasive lobular breast cancer (ILBC). Here, we investigated the genome-wide variability of DNA methylation levels across ILBC tumours and assessed the association between methylation levels at the variably methylated regions and overall survival in women with ILBC. Method(s): Tumour-enriched DNA was prepared by macrodissecting formalin-fixed paraffin embedded (FFPE) tumour tissue from 130 ILBCs diagnosed in the participants of the Melbourne Collaborative Cohort Study (MCCS). Genome-wide tumour DNA methylation was measured using the HumanMethylation 450K (HM450K) BeadChip array. Variably methylated regions (VMRs) were identified using the DMRcate package in R. Cox proportional hazards regression models were used to assess the association between methylation levels at the ten most significant VMRs and overall survival. Gene set enrichment analyses were undertaken using the web-based tool Metaspace. Replication of the VMR and survival analysis findings was examined using data retrieved from The Cancer Genome Atlas (TCGA) for 168 ILBC cases. We also examined the correlation between methylation and gene expression for the ten VMRs of interest using TCGA data. Result(s): We identified 2771 VMRs (P < 10-8) in ILBC tumours. The ten most variably methylated clusters were predominantly located in the promoter region of the genes: ISM1, APC, TMEM101, ASCL2, NKX6, HIST3H2A/HIST3H2BB, HCG4P3, HES5, CELF2 and EFCAB4B. Higher methylation level at several of these VMRs showed an association with reduced overall survival in the MCCS. In TCGA, all associations were in the same direction, however stronger than in the MCCS. The pooled analysis of the MCCS and TCGA data showed that methylation at four of the ten genes was associated with reduced overall survival, independently of age and t
Published: 2021

43. Mendelian randomization analysis of n-6 polyunsaturated fatty acid levels and pancreatic cancer risk.

Author: Ghoneim D.H., Zhu J., Zheng W., Long J., Murff H.J., Ye F., Setiawan V.W., Wilkens L.R., Khankari N.K., Haycock P., Antwi S.O., Yang Y., Arslan A.A., Freeman L.E.B., Bracci P.M., Canzian F., Du M., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Marchand L.L., Neale R.E., Scelo G., Visvanathan K., White E., Albane D., Amiano P., Andreott G., Babic A., Bamlet W.R., Berndt S.I., Brais L.K., Brennan P., Bueno-De-Mesquita B., Buring J.E., Campbell P.T., Rabe K.G., Chanock S.J., Duggal P., Fuchs C.S., Gaziano J.M., Goggins M.G., Hackert T., Hassan M.M., Helzlsouer K.J., Holly E.A., Hoover R.N., Katske V., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Murphy N., Oberg A.L., Porta M., Rothman N., Sesso H.D., Silverman D.T., Ian T., Wactawski-Wende J., Wang X., Wentzensen N., Yu H., Zeleniuch-Jacquotte A., Yu K., Wolpin B.M., Jacobs E.J., Duell E.J., Risch H.A., Petersen G.M., Amundadottir L.T., Kraft P., Klein A.P., Stolzenberg-Solomon R.Z., Shu X.-O., Wu L., Ghoneim D.H., Zhu J., Zheng W., Long J., Murff H.J., Ye F., Setiawan V.W., Wilkens L.R., Khankari N.K., Haycock P., Antwi S.O., Yang Y., Arslan A.A., Freeman L.E.B., Bracci P.M., Canzian F., Du M., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Marchand L.L., Neale R.E., Scelo G., Visvanathan K., White E., Albane D., Amiano P., Andreott G., Babic A., Bamlet W.R., Berndt S.I., Brais L.K., Brennan P., Bueno-De-Mesquita B., Buring J.E., Campbell P.T., Rabe K.G., Chanock S.J., Duggal P., Fuchs C.S., Gaziano J.M., Goggins M.G., Hackert T., Hassan M.M., Helzlsouer K.J., Holly E.A., Hoover R.N., Katske V., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Murphy N., Oberg A.L., Porta M., Rothman N., Sesso H.D., Silverman D.T., Ian T., Wactawski-Wende J., Wang X., Wentzensen N., Yu H., Zeleniuch-Jacquotte A., Yu K., Wolpin B.M., Jacobs E.J., Duell E.J., Risch H.A., Petersen G.M., Amundadottir L.T., Kraft P., Klein A.P., Stolzenberg-Solomon R.Z., Shu X.-O., and Wu L.
Abstract: Background: Whether circulating polyunsaturated fatty acid (PUFA) levels are associated with pancreatic cancer risk is uncertain. Mendelian randomization (MR) represents a study design using genetic instruments to better characterize the relationship between exposure and outcome. Method(s): We utilized data from genome-wide association studies within the Pancreatic Cancer Cohort Consortium and Pancreatic Cancer Case-Control Consortium, involving approximately 9,269 cases and 12,530 controls of European descent, to evaluate associations between pancreatic cancer risk and genetically predicted plasma n-6 PUFA levels. Conventional MR analyses were performed using individual-level and summary-level data. Result(s): Using genetic instruments, we did not find evidence of associations between genetically predicted plasma n-6 PUFA levels and pancreatic cancer risk [estimates per one SD increase in each PUFA-specific weighted genetic score using summary statistics: Linoleic acid odds ratio (OR)1.00, 95% confidence interval (CI) 0.98-1.02; arachidonic acid OR 1.00, 95% CI 0.99-1.01; and dihomo-gamma-linolenic acid OR 0.95, 95% CI 0.87-1.02]. The OR estimates remained virtually unchanged after adjustment for covariates, using individual-level data or summary statistics, or stratification by age and sex. Conclusion(s): Our results suggest that variations of genetically determined plasma n-6 PUFA levels are not associated with pancreatic cancer risk. Impact: These results suggest that modifying n-6 PUFA levels through food sources or supplementation may not influence risk of pancreatic cancer.Copyright © 2020 American Association for Cancer Research Inc.. All rights reserved.
Published: 2021

44. Diet and risk of gastroesophageal reflux disease in the Melbourne Collaborative Cohort Study.

Author: Wang S.E., Dashti S.G., Dixon-Suen S.C., Mitchell H., Thomas R.J., Williamson E.M., Makalic E., Boussioutas A., Haydon A.M., Giles G.G., Milne R.L., Kendall B.J., English D.R., Hodge A.M., Wang S.E., Dashti S.G., Dixon-Suen S.C., Mitchell H., Thomas R.J., Williamson E.M., Makalic E., Boussioutas A., Haydon A.M., Giles G.G., Milne R.L., Kendall B.J., English D.R., and Hodge A.M.
Abstract: OBJECTIVE: To examine associations between diet and risk of developing gastroesophageal reflux disease (GERD). DESIGN: Prospective cohort with a median follow-up of 15.8 years. Baseline diet was measured using a food frequency questionnaire. GERD was defined as self-reported current or history of daily heartburn or acid regurgitation beginning at least two years after baseline. Sex-specific logistic regressions were performed to estimate odds ratios for GERD associated with diet quality scores and intakes of nutrients, food groups, and individual foods and beverages. The effect of substituting saturated fat for monounsaturated or polyunsaturated fat on GERD risk was examined. SETTING: Melbourne, Australia. PARTICIPANTS: A cohort of 20,926 participants (62% women) aged 40-59 years at recruitment between 1990-1994. RESULT(S): For men, total fat intake was associated with increased risk of GERD (OR 1.05 per 5g/d; 95%CI 1.01-1.09; p=0.016), whereas total carbohydrate (OR 0.89 per 30g/d; 95%CI 0.82-0.98; p=0.010) and starch intakes (OR 0.84 per 30g/d; 95%CI 0.75-0.94; p=0.005) were associated with reduced risk. Nutrients were not associated with risk for women. For both sexes, substituting saturated fat for polyunsaturated or monounsaturated fat did not change risk. For both sexes, fish, chicken, cruciferous vegetables, and carbonated beverages were associated with increased risk, whereas total fruit and citrus were associated with reduced risk. No association was observed with diet quality scores. CONCLUSION(S): Diet is a possible risk factor for GERD, but food considered as triggers of GERD symptoms might not necessarily contribute to disease development. Potential differential associations for men and women warrant further investigation.
Published: 2021

45. Analgesic use and the risk of renal cell carcinoma - Findings from the Consortium for the Investigation of Renal Malignancies (CONFIRM) study.

Author: Bruinsma F.J., Jordan S., Bassett J.K., Severi G., MacInnis R.J., Walsh J., Aitken T., Jenkins M., Carroll R., Jefford M., Davis I.D., Tucker K., Dudding-Byth T., English D.R., Giles G.G., Winship I., Milne R.L., Bruinsma F.J., Jordan S., Bassett J.K., Severi G., MacInnis R.J., Walsh J., Aitken T., Jenkins M., Carroll R., Jefford M., Davis I.D., Tucker K., Dudding-Byth T., English D.R., Giles G.G., Winship I., and Milne R.L.
Abstract: Purpose: The incidence of renal cell carcinoma (RCC) is rising. Use of analgesics such as non-steroidal anti-inflammatory drugs (NSAIDs) and paracetamol may affect renal function. The aim of this study was to assess associations between analgesic use and risk of RCC. Method(s): A population-based case-control family design was used. Cases were recruited via two Australian state cancer registries. Controls were siblings or partners of cases. Analgesic use was captured by self-completed questionnaire. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for RCC risk associated with regular analgesic use (at least 5 times per month for 6 months or more) and duration and frequency of use. Result(s): The analysis included 1064 cases and 724 controls. Regular use of paracetamol was associated with an increased risk of RCC (OR 1.41, 95%CI 1.13-1.77). Regular use of NSAIDs was associated with increased risk of RCC for women (OR 1.71, 95% CI 1.23-2.39) but not men (OR 0.83, 95% CI 0.58-1.18; p-interaction=0.003). There was no evidence of a dose-response for duration of use of paracetamol (linear trend p = 0.77) and weak evidence for non- aspirin NSAID use by women (linear trend p = 0.054). Conclusion(s): This study found that regular use of paracetamol was associated with increased risk of RCC. NSAID use was associated with increased risk only for women.Copyright © 2021 Elsevier Ltd
Published: 2021

46. Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer.

Author: Hodgson S., De Vivo I., Dennis J., Dork T., Dowdy S.C., Dunning A.M., Durst M., Easton D.F., Ekici A.B., Fasching P.A., Fridley B.L., Friedenreich C.M., Garcia-Closas M., Gaudet M.M., Giles G.G., Goode E.L., Gorman M., Haiman C.A., Hall P., Hankinson S.E., Hein A., Hillemanns P., Hoivik E.A., Holliday E.G., Hunter D.J., Kraft P., Krakstad C., Lambrechts D., Le Marchand L., Liang X., Lindblom A., Lissowska J., Long J., Lu L., Magliocco A.M., Martin L., McEvoy M., Milne R.L., Mints M., Nassir R., Otton G., Palles C., Pooler L., Proietto T., Rebbeck T.R., Renner S.P., Risch H.A., Rubner M., Runnebaum I., Sacerdote C., Sarto G.E., Schumacher F., Scott R.J., Setiawan V.W., Shah M., Sheng X., Shu X.-O., Southey M.C., Tham E., Tomlinson I., Trovik J., Turman C., Tyrer J.P., Van Den Berg D., Wang Z., Wentzensen N., Xia L., Xiang Y.-B., Yang H.P., Yu H., Zheng W., Webb P.M., Thompson D.J., Spurdle A.B., Glubb D.M., O'Mara T.A., Chen C., Jones A., Kho P.-F., Amant F., Annibali D., Ashton K., Attia J., Auer P.L., Beckmann M.W., Black A., Brinton L., Buchanan D.D., Chanock S.J., Chen M.M., Cheng T.H.T., Cook L.S., Crous-Bous M., Czene K., Hodgson S., De Vivo I., Dennis J., Dork T., Dowdy S.C., Dunning A.M., Durst M., Easton D.F., Ekici A.B., Fasching P.A., Fridley B.L., Friedenreich C.M., Garcia-Closas M., Gaudet M.M., Giles G.G., Goode E.L., Gorman M., Haiman C.A., Hall P., Hankinson S.E., Hein A., Hillemanns P., Hoivik E.A., Holliday E.G., Hunter D.J., Kraft P., Krakstad C., Lambrechts D., Le Marchand L., Liang X., Lindblom A., Lissowska J., Long J., Lu L., Magliocco A.M., Martin L., McEvoy M., Milne R.L., Mints M., Nassir R., Otton G., Palles C., Pooler L., Proietto T., Rebbeck T.R., Renner S.P., Risch H.A., Rubner M., Runnebaum I., Sacerdote C., Sarto G.E., Schumacher F., Scott R.J., Setiawan V.W., Shah M., Sheng X., Shu X.-O., Southey M.C., Tham E., Tomlinson I., Trovik J., Turman C., Tyrer J.P., Van Den Berg D., Wang Z., Wentzensen N., Xia L., Xiang Y.-B., Yang H.P., Yu H., Zheng W., Webb P.M., Thompson D.J., Spurdle A.B., Glubb D.M., O'Mara T.A., Chen C., Jones A., Kho P.-F., Amant F., Annibali D., Ashton K., Attia J., Auer P.L., Beckmann M.W., Black A., Brinton L., Buchanan D.D., Chanock S.J., Chen M.M., Cheng T.H.T., Cook L.S., Crous-Bous M., and Czene K.
Abstract: Blood lipids have been associated with the development of a range of cancers, including breast, lung and colorectal cancer. For endometrial cancer, observational studies have reported inconsistent associations between blood lipids and cancer risk. To reduce biases from unmeasured confounding, we performed a bidirectional, two-sample Mendelian randomization analysis to investigate the relationship between levels of three blood lipids (low-density lipoprotein [LDL] and high-density lipoprotein [HDL] cholesterol, and triglycerides) and endometrial cancer risk. Genetic variants associated with each of these blood lipid levels (P < 5 x 10-8) were identified as instrumental variables, and assessed using genome-wide association study data from the Endometrial Cancer Association Consortium (12 906 cases and 108 979 controls) and the Global Lipids Genetic Consortium (n = 188 578). Mendelian randomization analyses found genetically raised LDL cholesterol levels to be associated with lower risks of endometrial cancer of all histologies combined, and of endometrioid and non-endometrioid subtypes. Conversely, higher genetically predicted HDL cholesterol levels were associated with increased risk of non-endometrioid endometrial cancer. After accounting for the potential confounding role of obesity (as measured by genetic variants associated with body mass index), the association between genetically predicted increased LDL cholesterol levels and lower endometrial cancer risk remained significant, especially for non-endometrioid endometrial cancer. There was no evidence to support a role for triglycerides in endometrial cancer development. Our study supports a role for LDL and HDL cholesterol in the development of non-endometrioid endometrial cancer. Further studies are required to understand the mechanisms underlying these findings.Copyright © 2020 Union for International Cancer Control
Published: 2021

47. Mendelian randomisation study of smoking exposure in relation to breast cancer risk.

Author: Park H.A., Neumeyer S., Michailidou K., Bolla M.K., Wang Q., Dennis J., Ahearn T.U., Andrulis I.L., Anton-Culver H., Antonenkova N.N., Arndt V., Aronson K.J., Augustinsson A., Baten A., Beane Freeman L.E., Becher H., Beckmann M.W., Behrens S., Benitez J., Bermisheva M., Bogdanova N.V., Bojesen S.E., Brauch H., Brenner H., Brucker S.Y., Burwinkel B., Campa D., Canzian F., Castelao J.E., Chanock S.J., Clarke C.L., Borresen-Dale A.-L., Grenaker Alnaes G.I., Sahlberg K.K., Ottestad L., Karesen R., Schlichting E., Holmen M.M., Sauer T., Haakensen V., Engebraten O., Naume B., Fossa A., Kiserud C.E., Reinertsen K.V., Helland A., Riis M., Geisler J., Conroy D.M., Couch F.J., Cox A., Cross S.S., Czene K., Daly M.B., Devilee P., Dork T., dos-Santos-Silva I., Dwek M., Eccles D.M., Eliassen A.H., Engel C., Eriksson M., Evans D.G., Fasching P.A., Flyger H., Fritschi L., Garcia-Closas M., Garcia-Saenz J.A., Gaudet M.M., Giles G.G., Glendon G., Goldberg M.S., Goldgar D.E., Gonzalez-Neira A., Grip M., Guenel P., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Han S., Harkness E.F., Hart S.N., He W., Heemskerk-Gerritsen B.A.M., Hopper J.L., Hunter D.J., Clarke C., Baxter R., Yip D., Carpenter J., Davis A., Pathmanathan N., Graham D., Sachchithananthan M., Amor D., Andrews L., Antill Y., Balleine R., Beesley J., Bennett I., Bogwitz M., Botes L., Brennan M., Brown M., Buckley M., Burke J., Butow P., Caldon L., Campbell I., Chauhan D., Chauhan M., Chenevix-Trench G., Christian A., Cohen P., Colley A., Crook A., Cui J., Cummings M., Dawson S.-J., DeFazio A., Delatycki M., Dickson R., Dixon J., Edkins T., Edwards S., Farshid G., Fellows A., Fenton G., Field M., Flanagan J., Fong P., Forrest L., Fox S., French J., Friedlander M., Gaff C., Gattas M., George P., Greening S., Harris M., Hart S., Hayward N., Hopper J., Hoskins C., Hunt C., James P., Jenkins M., Kidd A., Kirk J., Koehler J., Kollias J., Lakhani S., Lawrence M., Lindeman G., Lipton L., Lobb L., Mann G., Marsh D., McLachlan S.A., Meiser B., Milne R., Nightingale S., O'Connell S., O'Sullivan S., Ortega D.G., Pachter N., Patterson B., Pearn A., Phillips K., Pieper E., Rickard E., Robinson B., Saleh M., Salisbury E., Saunders C., Saunus J., Scott R., Sexton A., Shelling A., Simpson P., Southey M., Spurdle A., Taylor J., Taylor R., Thorne H., Trainer A., Tucker K., Visvader J., Walker L., Williams R., Winship I., Young M.A., Jager A., Jakubowska A., John E.M., Jung A., Kaaks R., Kapoor P.M., Keeman R., Khusnutdinova E., Kitahara C.M., Koppert L.B., Koutros S., Kristensen V.N., Kurian A.W., Lacey J., Lambrechts D., Le Marchand L., Lo W.-Y., Lubinski J., Mannermaa A., Manoochehri M., Margolin S., Martinez M.E., Mavroudis D., Meindl A., Menon U., Milne R.L., Muranen T.A., Nevanlinna H., Newman W.G., Nordestgaard B.G., Offit K., Olshan A.F., Olsson H., Park-Simon T.-W., Peterlongo P., Peto J., Plaseska-Karanfilska D., Presneau N., Radice P., Rennert G., Rennert H.S., Romero A., Saloustros E., Sawyer E.J., Schmidt M.K., Schmutzler R.K., Schoemaker M.J., Schwentner L., Scott C., Shah M., Shu X.-O., Simard J., Smeets A., Southey M.C., Spinelli J.J., Stevens V., Swerdlow A.J., Tamimi R.M., Tapper W.J., Taylor J.A., Terry M.B., Tomlinson I., Troester M.A., Truong T., Vachon C.M., van Veen E.M., Vijai J., Wang S., Wendt C., Winqvist R., Wolk A., Ziogas A., Dunning A.M., Pharoah P.D.P., Easton D.F., Zheng W., Kraft P., Chang-Claude J., Park H.A., Neumeyer S., Michailidou K., Bolla M.K., Wang Q., Dennis J., Ahearn T.U., Andrulis I.L., Anton-Culver H., Antonenkova N.N., Arndt V., Aronson K.J., Augustinsson A., Baten A., Beane Freeman L.E., Becher H., Beckmann M.W., Behrens S., Benitez J., Bermisheva M., Bogdanova N.V., Bojesen S.E., Brauch H., Brenner H., Brucker S.Y., Burwinkel B., Campa D., Canzian F., Castelao J.E., Chanock S.J., Clarke C.L., Borresen-Dale A.-L., Grenaker Alnaes G.I., Sahlberg K.K., Ottestad L., Karesen R., Schlichting E., Holmen M.M., Sauer T., Haakensen V., Engebraten O., Naume B., Fossa A., Kiserud C.E., Reinertsen K.V., Helland A., Riis M., Geisler J., Conroy D.M., Couch F.J., Cox A., Cross S.S., Czene K., Daly M.B., Devilee P., Dork T., dos-Santos-Silva I., Dwek M., Eccles D.M., Eliassen A.H., Engel C., Eriksson M., Evans D.G., Fasching P.A., Flyger H., Fritschi L., Garcia-Closas M., Garcia-Saenz J.A., Gaudet M.M., Giles G.G., Glendon G., Goldberg M.S., Goldgar D.E., Gonzalez-Neira A., Grip M., Guenel P., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Han S., Harkness E.F., Hart S.N., He W., Heemskerk-Gerritsen B.A.M., Hopper J.L., Hunter D.J., Clarke C., Baxter R., Yip D., Carpenter J., Davis A., Pathmanathan N., Graham D., Sachchithananthan M., Amor D., Andrews L., Antill Y., Balleine R., Beesley J., Bennett I., Bogwitz M., Botes L., Brennan M., Brown M., Buckley M., Burke J., Butow P., Caldon L., Campbell I., Chauhan D., Chauhan M., Chenevix-Trench G., Christian A., Cohen P., Colley A., Crook A., Cui J., Cummings M., Dawson S.-J., DeFazio A., Delatycki M., Dickson R., Dixon J., Edkins T., Edwards S., Farshid G., Fellows A., Fenton G., Field M., Flanagan J., Fong P., Forrest L., Fox S., French J., Friedlander M., Gaff C., Gattas M., George P., Greening S., Harris M., Hart S., Hayward N., Hopper J., Hoskins C., Hunt C., James P., Jenkins M., Kidd A., Kirk J., Koehler J., Kollias J., Lakhani S., Lawrence M., Lindeman G., Lipton L., Lobb L., Mann G., Marsh D., McLachlan S.A., Meiser B., Milne R., Nightingale S., O'Connell S., O'Sullivan S., Ortega D.G., Pachter N., Patterson B., Pearn A., Phillips K., Pieper E., Rickard E., Robinson B., Saleh M., Salisbury E., Saunders C., Saunus J., Scott R., Sexton A., Shelling A., Simpson P., Southey M., Spurdle A., Taylor J., Taylor R., Thorne H., Trainer A., Tucker K., Visvader J., Walker L., Williams R., Winship I., Young M.A., Jager A., Jakubowska A., John E.M., Jung A., Kaaks R., Kapoor P.M., Keeman R., Khusnutdinova E., Kitahara C.M., Koppert L.B., Koutros S., Kristensen V.N., Kurian A.W., Lacey J., Lambrechts D., Le Marchand L., Lo W.-Y., Lubinski J., Mannermaa A., Manoochehri M., Margolin S., Martinez M.E., Mavroudis D., Meindl A., Menon U., Milne R.L., Muranen T.A., Nevanlinna H., Newman W.G., Nordestgaard B.G., Offit K., Olshan A.F., Olsson H., Park-Simon T.-W., Peterlongo P., Peto J., Plaseska-Karanfilska D., Presneau N., Radice P., Rennert G., Rennert H.S., Romero A., Saloustros E., Sawyer E.J., Schmidt M.K., Schmutzler R.K., Schoemaker M.J., Schwentner L., Scott C., Shah M., Shu X.-O., Simard J., Smeets A., Southey M.C., Spinelli J.J., Stevens V., Swerdlow A.J., Tamimi R.M., Tapper W.J., Taylor J.A., Terry M.B., Tomlinson I., Troester M.A., Truong T., Vachon C.M., van Veen E.M., Vijai J., Wang S., Wendt C., Winqvist R., Wolk A., Ziogas A., Dunning A.M., Pharoah P.D.P., Easton D.F., Zheng W., Kraft P., and Chang-Claude J.
Abstract: Background: Despite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk. Method(s): We applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy. Result(s): Genetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07-1.30, P = 0.11 x 10-2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78-1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect. Conclusion(s): Our MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers.Copyright © 2021, The Author(s).
Published: 2021

48. Bilateral salpingo-oophorectomy and breast cancer risk for BRCA1 and BRCA2 mutation carriers: Assessing the evidence.

Author: Conduit C., Milne R.L., Friedlander M.L., Phillips K.-A., Conduit C., Milne R.L., Friedlander M.L., and Phillips K.-A.
Abstract: Without preventive interventions, women with germline pathogenic variants in BRCA1 or BRCA2 have high lifetime risks for breast cancer and tubo-ovarian cancer. The increased risk for breast cancer starts at a considerably younger age than that for tubo-ovarian cancer. Riskreducing bilateral salpingo-oophorectomy (rrBSO) is effective in reducing tubo-ovarian cancer risk for BRCA1 and BRCA2 mutation carriers, but whether it reduces breast cancer risk is less clear. All studies of rrBSO and breast cancer risk are observational in nature and subject to various forms of bias and confounding, thus limiting conclusions that can be drawn about causation. Early studies supported a statistically significant protective association for rrBSO on breast cancer risk, which is reflected by several international guidelines that recommend consideration of premenopausal rrBSO for breast cancer risk reduction. However, these historical studies were hampered by the presence of several important biases, including immortal person-time bias, confounding by indication, informative censoring, and confounding by other risk factors, which may have led to overestimation of any protective benefit. Contemporary studies, specifically designed to reduce some of these biases, have yielded contradictory results. Taken together, there is no clear and consistent evidence for a role of premenopausal rrBSO in reducing breast cancer risk in BRCA1 or BRCA2 mutation carriers.Copyright © 2021 The Authors.
Published: 2021

49. Genomic risk prediction for breast cancer in older women.

Author: Lacaze P., Bakshi A., Riaz M., Orchard S.G., Tiller J., Neumann J.T., Carr P.R., Joshi A.D., Cao Y., Warner E.T., Manning A., Nguyen-Dumont T.u., Southey M.C., Milne R.L., Ford L., Sebra R., Schadt E., Gately L., Gibbs P., Thompson B.A., Macrae F.A., James P., Winship I., McLean C., Zalcberg J.R., Woods R.L., Chan A.T., Murray A.M., McNeil J.J., Lacaze P., Bakshi A., Riaz M., Orchard S.G., Tiller J., Neumann J.T., Carr P.R., Joshi A.D., Cao Y., Warner E.T., Manning A., Nguyen-Dumont T.u., Southey M.C., Milne R.L., Ford L., Sebra R., Schadt E., Gately L., Gibbs P., Thompson B.A., Macrae F.A., James P., Winship I., McLean C., Zalcberg J.R., Woods R.L., Chan A.T., Murray A.M., and McNeil J.J.
Abstract: Genomic risk prediction models for breast cancer (BC) have been predominantly developed with data from women aged 40-69 years. Prospective studies of older women aged >=70 years have been limited. We assessed the effect of a 313-variant polygenic risk score (PRS) for BC in 6339 older women aged >=70 years (mean age 75 years) enrolled into the ASPREE trial, a randomized double-blind placebo-controlled clinical trial investigating the effect of daily 100 mg aspirin on dis-ability-free survival. We evaluated incident BC diagnoses over a median follow-up time of 4.7 years. A multivariable Cox regression model including conventional BC risk factors was applied to prospective data, and re-evaluated after adding the PRS. We also assessed the association of rare pathogenic variants (PVs) in BC susceptibility genes (BRCA1/BRCA2/PALB2/CHEK2/ATM). The PRS, as a continuous variable, was an independent predictor of incident BC (hazard ratio (HR) per standard deviation (SD) = 1.4, 95% confidence interval (CI) 1.3-1.6) and hormone receptor (ER/PR)-positive disease (HR = 1.5 (CI 1.2-1.9)). Women in the top quintile of the PRS distribution had over two-fold higher risk of BC than women in the lowest quintile (HR = 2.2 (CI 1.2-3.9)). The concordance index of the model without the PRS was 0.62 (95% CI 0.56-0.68), which improved after addition of the PRS to 0.65 (95% CI 0.59-0.71). Among 41 (0.6%) carriers of PVs in BC susceptibility genes, we observed no incident BC diagnoses. Our study demonstrates that a PRS predicts incident BC risk in women aged 70 years and older, suggesting potential clinical utility extends to this older age group.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Published: 2021

50. Cohort Profile: The Ovarian Cancer Cohort Consortium (OC3).

Author: Townsend M.K., Trabert B., Fortner R.T., Arslan A.A., Buring J.E., Carter B.D., Giles G.G., Irvin S.R., Jones M.E., Kaaks R., Kirsh V.A., Knutsen S.F., Koh W.-P., Lacey J.V., Langseth H., Larsson S.C., Lee I.-M., Martinez M.E., Merritt M.A., Milne R.L., O'Brien K.M., Orlich M.J., Palmer J.R., Patel A.V., Peters U., Poynter J.N., Robien K., Rohan T.E., Rosenberg L., Sandin S., Sandler D.P., Schouten L.J., Setiawan V.W., Swerdlow A.J., Ursin G., van den Brandt P.A., Visvanathan K., Weiderpass E., Wolk A., Yuan J.-M., Zeleniuch-Jacquotte A., Tworoger S.S., Wentzensen N., Townsend M.K., Trabert B., Fortner R.T., Arslan A.A., Buring J.E., Carter B.D., Giles G.G., Irvin S.R., Jones M.E., Kaaks R., Kirsh V.A., Knutsen S.F., Koh W.-P., Lacey J.V., Langseth H., Larsson S.C., Lee I.-M., Martinez M.E., Merritt M.A., Milne R.L., O'Brien K.M., Orlich M.J., Palmer J.R., Patel A.V., Peters U., Poynter J.N., Robien K., Rohan T.E., Rosenberg L., Sandin S., Sandler D.P., Schouten L.J., Setiawan V.W., Swerdlow A.J., Ursin G., van den Brandt P.A., Visvanathan K., Weiderpass E., Wolk A., Yuan J.-M., Zeleniuch-Jacquotte A., Tworoger S.S., and Wentzensen N.
Published: 2021

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