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1. 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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2. 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

3. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in similar to 200,000 patients (vol 24, 69, 2022)

Author: Giardiello, D., Hooning, M.J., Hauptmann, M., Keeman, R., Heemskerk-Gerritsen, B.A.M., Becher, H., Blomqvist, C., Bojesen, S.E., Bolla, M.K., Camp, N.J., Czene, K., Devilee, P., Eccles, D.M., Fasching, P.A., Figueroa, J.D., Flyger, H., Garcia-Closas, M., Haiman, C.A., Hamann, U., Hopper, J.L., Jakubowska, A., Leeuwen, F.E., Lindblom, A., Lubinski, J., Margolin, S., Martinez, M.E., Nevanlinna, H., Nevelsteen, I., Pelders, S., Pharoah, P.D.P., Siesling, S., Southey, M.C., Hout, A.H. van der, Hest, L.P. van, Chang-Claude, J., Hall, P., Easton, D.F., Steyerberg, E.W., and Schmidt, M.K.
Published: 2022

4. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

Author: Giardiello, D., Hooning, M.J., Hauptmann, M., Keeman, R., Heemskerk-Gerritsen, B.A.M., Becher, H., Blomqvist, C., Bojesen, S.E., Bolla, M.K., Camp, N.J., Czene, K., Devilee, P., Eccles, D.M., Fasching, P.A., Figueroa, J.D., Flyger, H., Garcia-Closas, M., Haiman, C.A., Hamann, U., Hopper, J.L., Jakubowska, A., Leeuwen, F.E., Lindblom, A., Lubinski, J., Margolin, S., Martinez, M.E., Nevanlinna, H., Nevelsteen, I., Pelders, S., Pharoah, P.D.P., Siesling, S., Southey, M.C., Hout, A.H. van der, Hest, L.P. van, Chang-Claude, J., Hall, P., Easton, D.F., Steyerberg, E.W., Schmidt, M.K., Medical Oncology, Public Health, Human genetics, CCA - Cancer Treatment and quality of life, Apollo - University of Cambridge Repository, Faculteit Medische Wetenschappen/UMCG, Medicum, HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, University of Helsinki, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, and García-Closas, Montserrat [0000-0003-1033-2650]
Subjects: Clinical Decision-making, 3122 Cancers, Oncology and Carcinogenesis, Breast Neoplasms, BRCA1/2 germline mutation, Polygenic risk score, SDG 3 - Good Health and Well-being, Breast Cancer Genetic Predisposition, Risk Factors, Breast Cancer, Genetics, Humans, ddc:610, Oncology & Carcinogenesis, Contralateral Preventive Mastectomy, BCAC, Breast cancer genetic predisposition, Mastectomy, Germ-Line Mutation, Cancer, Polygenic Risk Score, Prevention, Research, Brca1/2 Germline Mutation, Risk prediction, Contralateral preventive mastectomy, Prophylactic Mastectomy, Prediction Performance, Contralateral breast cancer, Breast Cancer Association Consortium, Prediction performance, Contralateral Breast Cancer, Female, Risk Prediction, Bcac, Clinical decision-making
Abstract: Background Prediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional risk factors. Methods We included data from 207,510 invasive breast cancer patients participating in 23 studies. In total, 8225 CBC events occurred over a median follow-up of 10.2 years. In addition to the previously included risk factors, PredictCBC-2.0 included CHEK2 c.1100delC, a 313 variant polygenic risk score (PRS-313), body mass index (BMI), and parity. Fine and Gray regression was used to fit the model. Calibration and a time-dependent area under the curve (AUC) at 5 and 10 years were assessed to determine the performance of the models. Decision curve analysis was performed to evaluate the net benefit of PredictCBC-2.0 and previous PredictCBC models. Results The discrimination of PredictCBC-2.0 at 10 years was higher than PredictCBC with an AUC of 0.65 (95% prediction intervals (PI) 0.56–0.74) versus 0.63 (95%PI 0.54–0.71). PredictCBC-2.0 was well calibrated with an observed/expected ratio at 10 years of 0.92 (95%PI 0.34–2.54). Decision curve analysis for contralateral preventive mastectomy (CPM) showed the potential clinical utility of PredictCBC-2.0 between thresholds of 4 and 12% 10-year CBC risk for BRCA1/2 mutation carriers and non-carriers. Conclusions Additional genetic information beyond BRCA1/2 germline mutations improved CBC risk prediction and might help tailor clinical decision-making toward CPM or alternative preventive strategies. Identifying patients who benefit from CPM, especially in the general breast cancer population, remains challenging.
Published: 2022
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5. 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

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

Author: Dareng, E.O., Tyrer, J.P., Barnes, D.R., Jones, M.R., Yang, X, Aben, K.K.H., Adank, M.A., Agata, S., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Aravantinos, G., Arun, B.K., Augustinsson, A., Balmaña, J., Bandera, E.V., Barkardottir, R.B., Barrowdale, D., Beckmann, M.W., Beeghly-Fadiel, A., Benitez, J., Bermisheva, M., Bernardini, M.Q., Bjorge, L., Black, A., Bogdanova, N.V., Bonanni, B., Borg, A., Brenton, J.D., Budzilowska, A., Butzow, R., Buys, S.S., Cai, H., Caligo, M.A., Campbell, I., Cannioto, R., Cassingham, H., Chang-Claude, J., Chanock, S.J., Chen, K., Chiew, Y.E., Chung, W.K., Claes, K.B.M., Colonna, S., Cook, L.S., Couch, F.J., Daly, M.B., Dao, F., Davies, E., Hoya, M. de la, Putter, R. de, Dennis, J., DePersia, A., Devilee, P., Diez, O., Ding, Y.C., Doherty, J.A., Domchek, S.M., Dörk, T., Bois, A. du, Dürst, M., Eccles, D.M., Eliassen, H.A., Engel, C., Evans, G.D., Fasching, P.A., Flanagan, J.M., Fortner, R.T., Machackova, E., Friedman, E., Ganz, P.A., Garber, J., Gensini, F., Giles, G.G., Glendon, G., Godwin, A.K., Goodman, M.T., Greene, M.H., Gronwald, J., Hahnen, E., Haiman, C.A., Håkansson, N., Hamann, U., Hansen, T.V., Harris, H.R., Hartman, M, Heitz, F., Hildebrandt, M.A., Høgdall, E., Høgdall, C.K., Hopper, J.L., Huang, R.Y., Huff, C., Hulick, P.J., Huntsman, D.G., Imyanitov, E.N., Isaacs, C., Jakubowska, A., James, P.A., Kiemeney, L.A.L.M., Altena, A.M. van, Janavicius, R., Antoniou, A.C., Pharoah, P.D., Dareng, E.O., Tyrer, J.P., Barnes, D.R., Jones, M.R., Yang, X, Aben, K.K.H., Adank, M.A., Agata, S., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Aravantinos, G., Arun, B.K., Augustinsson, A., Balmaña, J., Bandera, E.V., Barkardottir, R.B., Barrowdale, D., Beckmann, M.W., Beeghly-Fadiel, A., Benitez, J., Bermisheva, M., Bernardini, M.Q., Bjorge, L., Black, A., Bogdanova, N.V., Bonanni, B., Borg, A., Brenton, J.D., Budzilowska, A., Butzow, R., Buys, S.S., Cai, H., Caligo, M.A., Campbell, I., Cannioto, R., Cassingham, H., Chang-Claude, J., Chanock, S.J., Chen, K., Chiew, Y.E., Chung, W.K., Claes, K.B.M., Colonna, S., Cook, L.S., Couch, F.J., Daly, M.B., Dao, F., Davies, E., Hoya, M. de la, Putter, R. de, Dennis, J., DePersia, A., Devilee, P., Diez, O., Ding, Y.C., Doherty, J.A., Domchek, S.M., Dörk, T., Bois, A. du, Dürst, M., Eccles, D.M., Eliassen, H.A., Engel, C., Evans, G.D., Fasching, P.A., Flanagan, J.M., Fortner, R.T., Machackova, E., Friedman, E., Ganz, P.A., Garber, J., Gensini, F., Giles, G.G., Glendon, G., Godwin, A.K., Goodman, M.T., Greene, M.H., Gronwald, J., Hahnen, E., Haiman, C.A., Håkansson, N., Hamann, U., Hansen, T.V., Harris, H.R., Hartman, M, Heitz, F., Hildebrandt, M.A., Høgdall, E., Høgdall, C.K., Hopper, J.L., Huang, R.Y., Huff, C., Hulick, P.J., Huntsman, D.G., Imyanitov, E.N., Isaacs, C., Jakubowska, A., James, P.A., Kiemeney, L.A.L.M., Altena, A.M. van, Janavicius, R., Antoniou, A.C., and Pharoah, P.D.
Abstract: Item does not contain fulltext, Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.
Published: 2022

7. 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

8. Height and Body Mass Index as Modifiers of Breast Cancer Risk in BRCA1/2 Mutation Carriers: A Mendelian Randomization Study

Author: Qian, F., Wang, S.F., Mitchell, J., McGuffog, L., Barrowdale, D., Leslie, G., Oosterwijk, J.C., Chung, W.K., Evans, D.G., Engel, C., Kast, K., Aalfs, C.M., Adank, M.A., Adlard, J., Agnarsson, B.A., Aittomaki, K., Alducci, E., Andrulis, I.L., Arun, B.K., Ausems, M.G.E.M., Azzollini, J., Barouk-Simonet, E., Barwell, J., Belotti, M., Benitez, J., Berger, A., Borg, A., Bradbury, A.R., Brunet, J., Buys, S.S., Caldes, T., Caligo, M.A., Campbell, I., Caputo, S.M., Chiquette, J., Claes, K.B.M., Collee, J.M., Couch, F.J., Coupier, I., Daly, M.B., Davidson, R., Diez, O., Domchek, S.M., Donaldson, A., Dorfling, C.M., Eeles, R., Feliubadalo, L., Foretova, L., Fowler, J., Friedman, E., Frost, D., Ganz, P.A., Garber, J., Garcia-Barberan, V., Glendon, G., Godwin, A.K., Garcia, E.B.G., Gronwald, J., Hahnen, E., Hamann, U., Henderson, A., Hendricks, C.B., Hopper, J.L., Hulick, P.J., Imyanitov, E.N., Isaacs, C., Izatt, L., Izquierdo, A., Jakubowska, A., Kaczmarek, K., Kang, E., Karlan, B.Y., Kets, C.M., Kim, S.W., Kim, Z., Kwong, A., Laitman, Y., Lasset, C., Lee, M.H., Lee, J.W., Lee, J., Lester, J., Lesueur, F., Loud, J.T., Lubinski, J., Mebirouk, N., Meijers-Heijboer, H.E.J., Meindl, A., Miller, A., Montagna, M., Mooij, T.M., Morrison, P.J., Mouret-Fourme, E., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Niederacher, D., Nielsen, F.C., Nussbaum, R.L., Offit, K., Olah, E., Ong, K.R., Ottini, L., Park, S.K., Peterlongo, P., Pfeiler, G., Phelan, C.M., Poppe, B., Pradhan, N., Radice, P., Ramus, S.J., Rantala, J., Robson, M., Rodriguez, G.C., Schmutzler, R.K., Selkirk, C.G.H., Shah, P.D., Simard, J., Singer, C.F., Sokolowska, J., Stoppa-Lyonnet, D., Sutter, C., Tan, Y.Y., Teixeira, M.R., Teo, S.H., Terry, M.B., Thomassen, M., Tischkowitz, M., Toland, A.E., Tucker, K.M., Tung, N., Asperen, C.J. van, Engelen, K. van, Rensburg, E.J. van, Wang-Gohrke, S., Wappenschmidt, B., Weitzel, J.N., Yannoukakos, D., Greene, M.H., Rookus, M.A., Easton, D.F., Chenevix-Trench, G., Antoniou, A.C., Goldgar, D.E., Olopade, O.I., Rebbeck, T.R., Huo, D.Z., GEMO Study Collaborators, HEBON, EMBRACE, Clinical Genetics, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), Leslie, Goska [0000-0001-5756-6222], Tischkowitz, Marc [0000-0002-7880-0628], Easton, Douglas [0000-0003-2444-3247], Antoniou, Antonis [0000-0001-9223-3116], Apollo - University of Cambridge Repository, Klinische Genetica, MUMC+: DA KG Polikliniek (9), RS: GROW - R4 - Reproductive and Perinatal Medicine, Human Genetics, ARD - Amsterdam Reproduction and Development, Epidemiology and Data Science, Human genetics, CCA - Cancer biology and immunology, Amsterdam Neuroscience - Complex Trait Genetics, and Amsterdam Reproduction & Development (AR&D)
Subjects: Oncology, Cancer Research, LOCI, Disease, DISEASE, Body Mass Index, breast cancer risk, 0302 clinical medicine, Risk Factors, GENETIC-VARIANTS, EPIDEMIOLOGY, skin and connective tissue diseases, 2. Zero hunger, BRCA1 Protein, Articles, Prognosis, INSULIN, 3. Good health, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], FAMILY, 030220 oncology & carcinogenesis, OBESITY, BIOLOGICAL PATHWAYS, Female, Risk assessment, Adult, medicine.medical_specialty, Breast Neoplasms, Polymorphism, Single Nucleotide, EMBRACE, GEMO Study Collaborators, BMI, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, BRCA1/2, Internal medicine, Mendelian randomization, medicine, Journal Article, Humans, Genetic Predisposition to Disease, HEBON, BRCA2 Protein, IDENTIFICATION, Proportional hazards model, business.industry, Mendelian Randomization Analysis, medicine.disease, Obesity, Confidence interval, Body Height, Mutation, WEIGHT, business, Body mass index
Abstract: Contains fulltext : 206539.pdf (Publisher’s version ) (Closed access) BACKGROUND: BRCA1/2 mutations confer high lifetime risk of breast cancer, although other factors may modify this risk. Whether height or body mass index (BMI) modifies breast cancer risk in BRCA1/2 mutation carriers remains unclear. METHODS: We used Mendelian randomization approaches to evaluate the association of height and BMI on breast cancer risk, using data from the Consortium of Investigators of Modifiers of BRCA1/2 with 14 676 BRCA1 and 7912 BRCA2 mutation carriers, including 11 451 cases of breast cancer. We created a height genetic score using 586 height-associated variants and a BMI genetic score using 93 BMI-associated variants. We examined both observed and genetically determined height and BMI with breast cancer risk using weighted Cox models. All statistical tests were two-sided. RESULTS: Observed height was positively associated with breast cancer risk (HR = 1.09 per 10 cm increase, 95% confidence interval [CI] = 1.0 to 1.17; P = 1.17). Height genetic score was positively associated with breast cancer, although this was not statistically significant (per 10 cm increase in genetically predicted height, HR = 1.04, 95% CI = 0.93 to 1.17; P = .47). Observed BMI was inversely associated with breast cancer risk (per 5 kg/m2 increase, HR = 0.94, 95% CI = 0.90 to 0.98; P = .007). BMI genetic score was also inversely associated with breast cancer risk (per 5 kg/m2 increase in genetically predicted BMI, HR = 0.87, 95% CI = 0.76 to 0.98; P = .02). BMI was primarily associated with premenopausal breast cancer. CONCLUSION: Height is associated with overall breast cancer and BMI is associated with premenopausal breast cancer in BRCA1/2 mutation carriers. Incorporating height and BMI, particularly genetic score, into risk assessment may improve cancer management.
Published: 2019

9. 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

10. The predictive ability of the 313 variant-based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant

Author: Lakeman, I.M.M., Broek, A.J. van den, Vos, Janet R., Barnes, D.R., Adlard, J., Andrulis, I.L., Arason, A., Arnold, N., Arun, B.K., Balmaña, J., Barrowdale, D., Benitez, J., Borg, A., Caldés, T., Caligo, M.A., Chung, W.K., Claes, K.B.M., Collée, J.M., Couch, F.J., Daly, M.B., Dennis, J., Dhawan, M., Domchek, S.M., Eeles, R., Engel, C., Evans, D.G., Feliubadaló, L., Foretova, L., Friedman, E., Frost, D., Ganz, P.A., Garber, J., Gayther, S.A., Gerdes, A.M., Godwin, A.K., Goldgar, D.E., Hahnen, E., Hake, C.R., Hamann, U., Hogervorst, F.B., Hooning, M.J., Hopper, J.L., Hulick, P.J., Imyanitov, E.N., Isaacs, C., Izatt, L., Jakubowska, A., James, P.A., Janavicius, R., Jensen, U.B., Jiao, Y., John, E.M., Joseph, V., Karlan, B.Y., Kets, C.M., Konstantopoulou, I., Kwong, A., Legrand, C., Leslie, G., Lesueur, F., Loud, J.T., Lubiński, J., Manoukian, S., McGuffog, L., Miller, A., Gomes, D.M., Montagna, M., Mouret-Fourme, E., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Yie, J.N.Y., Olah, E., Olopade, O.I., Park, S.K., Parsons, M.T., Peterlongo, P., Piedmonte, M., Radice, P., Rantala, J., Rennert, G., Risch, H.A., Schmutzler, R.K., Sharma, P., Simard, J., Singer, C.F., Stadler, Z., Stoppa-Lyonnet, D., Sutter, C., Tan, Y.Y., Teixeira, M.R., Teo, S.H., Teulé, A., Thomassen, M., Thull, D.L., Tischkowitz, M., Toland, A.E., Tung, N., Rensburg, E.J. van, Vega, A., Robson, M., Schmidt, M.K., Lakeman, I.M.M., Broek, A.J. van den, Vos, Janet R., Barnes, D.R., Adlard, J., Andrulis, I.L., Arason, A., Arnold, N., Arun, B.K., Balmaña, J., Barrowdale, D., Benitez, J., Borg, A., Caldés, T., Caligo, M.A., Chung, W.K., Claes, K.B.M., Collée, J.M., Couch, F.J., Daly, M.B., Dennis, J., Dhawan, M., Domchek, S.M., Eeles, R., Engel, C., Evans, D.G., Feliubadaló, L., Foretova, L., Friedman, E., Frost, D., Ganz, P.A., Garber, J., Gayther, S.A., Gerdes, A.M., Godwin, A.K., Goldgar, D.E., Hahnen, E., Hake, C.R., Hamann, U., Hogervorst, F.B., Hooning, M.J., Hopper, J.L., Hulick, P.J., Imyanitov, E.N., Isaacs, C., Izatt, L., Jakubowska, A., James, P.A., Janavicius, R., Jensen, U.B., Jiao, Y., John, E.M., Joseph, V., Karlan, B.Y., Kets, C.M., Konstantopoulou, I., Kwong, A., Legrand, C., Leslie, G., Lesueur, F., Loud, J.T., Lubiński, J., Manoukian, S., McGuffog, L., Miller, A., Gomes, D.M., Montagna, M., Mouret-Fourme, E., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Yie, J.N.Y., Olah, E., Olopade, O.I., Park, S.K., Parsons, M.T., Peterlongo, P., Piedmonte, M., Radice, P., Rantala, J., Rennert, G., Risch, H.A., Schmutzler, R.K., Sharma, P., Simard, J., Singer, C.F., Stadler, Z., Stoppa-Lyonnet, D., Sutter, C., Tan, Y.Y., Teixeira, M.R., Teo, S.H., Teulé, A., Thomassen, M., Thull, D.L., Tischkowitz, M., Toland, A.E., Tung, N., Rensburg, E.J. van, Vega, A., Robson, M., and Schmidt, M.K.
Abstract: Contains fulltext : 244113.pdf (Publisher’s version ) (Open Access), PURPOSE: To evaluate the association between a previously published 313 variant-based breast cancer (BC) polygenic risk score (PRS(313)) and contralateral breast cancer (CBC) risk, in BRCA1 and BRCA2 pathogenic variant heterozygotes. METHODS: We included women of European ancestry with a prevalent first primary invasive BC (BRCA1 = 6,591 with 1,402 prevalent CBC cases; BRCA2 = 4,208 with 647 prevalent CBC cases) from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA), a large international retrospective series. Cox regression analysis was performed to assess the association between overall and ER-specific PRS(313) and CBC risk. RESULTS: For BRCA1 heterozygotes the estrogen receptor (ER)-negative PRS(313) showed the largest association with CBC risk, hazard ratio (HR) per SD = 1.12, 95% confidence interval (CI) (1.06-1.18), C-index = 0.53; for BRCA2 heterozygotes, this was the ER-positive PRS(313), HR = 1.15, 95% CI (1.07-1.25), C-index = 0.57. Adjusting for family history, age at diagnosis, treatment, or pathological characteristics for the first BC did not change association effect sizes. For women developing first BC < age 40 years, the cumulative PRS(313) 5th and 95th percentile 10-year CBC risks were 22% and 32% for BRCA1 and 13% and 23% for BRCA2 heterozygotes, respectively. CONCLUSION: The PRS(313) can be used to refine individual CBC risks for BRCA1/2 heterozygotes of European ancestry, however the PRS(313) needs to be considered in the context of a multifactorial risk model to evaluate whether it might influence clinical decision-making.
Published: 2021

11. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

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., Adank, M.A., Agata, S., Ahearn, T., Aittomäki, 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., Białkowska, K., Blomqvist, C., Bojesen, S.E., Bonanni, B., Borg, A., Brauch, H., Brenner, H., Burwinkel, B., Buys, S.S., Caldés, 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., Collée, J.M., Conroy, D.M., Czene, K., Daly, M.B., Devilee, P., Diez, O., Ding, Y.C., Domchek, S.M., Dörk, 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., García-Closas, M., García-Sáenz, J.A., Gaudet, M.M., Gayther, S.A., Gehrig, A., Georgoulias, V., Giles, G.G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., González-Neira, A., Greene, M.H., Guénel, P., Haeberle, L., Hahnen, E., Haiman, C.A., Håkansson, N., Hall, P., Hamann, U., Harrington, Patrick, Hart, S.N., He, W., Hogervorst, F.B., Hollestelle, A., Mensenkamp, A.R., Hopper, J.L., Horcasitas, D.J., Hulick, P.J., 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., Adank, M.A., Agata, S., Ahearn, T., Aittomäki, 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., Białkowska, K., Blomqvist, C., Bojesen, S.E., Bonanni, B., Borg, A., Brauch, H., Brenner, H., Burwinkel, B., Buys, S.S., Caldés, 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., Collée, J.M., Conroy, D.M., Czene, K., Daly, M.B., Devilee, P., Diez, O., Ding, Y.C., Domchek, S.M., Dörk, 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., García-Closas, M., García-Sáenz, J.A., Gaudet, M.M., Gayther, S.A., Gehrig, A., Georgoulias, V., Giles, G.G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., González-Neira, A., Greene, M.H., Guénel, P., Haeberle, L., Hahnen, E., Haiman, C.A., Håkansson, N., Hall, P., Hamann, U., Harrington, Patrick, Hart, S.N., He, W., Hogervorst, F.B., Hollestelle, A., Mensenkamp, A.R., Hopper, J.L., Horcasitas, D.J., and Hulick, P.J.
Abstract: Contains fulltext : 231768.pdf (publisher's version ) (Open Access), 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

12. 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

13. 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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14. Risk factors for melanoma by anatomical site: an evaluation of aetiological heterogeneity*.

Author: Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Armstrong B.K., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Barrett J.H., Bishop D.T., Harrison J., Iles M.M., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., King P., Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Armstrong B.K., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Barrett J.H., Bishop D.T., Harrison J., Iles M.M., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., and King P.
Abstract: Background: Melanoma aetiology has been proposed to have two pathways, which are determined by naevi and type of sun exposure and related to the anatomical site where melanoma develops. Objective(s): We examined associations with melanoma by anatomical site for a comprehensive set of risk factors including pigmentary and naevus phenotypes, ultraviolet radiation exposure and polygenic risk. Method(s): We analysed harmonized data from 2617 people with incident first invasive melanoma and 975 healthy controls recruited through two population-based case-control studies in Australia and the UK. Questionnaire data were collected by interview using a single protocol, and pathway-specific polygenic risk scores were derived from DNA samples. We estimated adjusted odds ratios using unconditional logistic regression that compared melanoma cases at each anatomical site with all controls. Result(s): When cases were compared with control participants, there were stronger associations for many naevi vs. no naevi for melanomas on the trunk, and upper and lower limbs than on the head and neck (P-heterogeneity < 0.001). Very fair skin (vs. olive/brown skin) was more weakly related to melanoma on the trunk than to melanomas at other sites (P-heterogeneity = 0.04). There was no significant difference by anatomical site for polygenic risk. Increased weekday sun exposure was positively associated with melanoma on the head and neck but not on other sites. Conclusion(s): We found evidence of aetiological heterogeneity for melanoma, supporting the dual pathway hypothesis. These findings enhance understanding of risk factors for melanoma and can guide prevention and skin examination education and practices.Copyright © 2020 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.
Published: 2021

15. 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

16. 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

17. 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

18. 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

19. 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

20. Repeatability of methylation measures using a QIAseq targeted methyl panel and comparison with the Illumina HumanMethylation450 assay.

Author: Yu C., Dugue P.-A., Dowty J.G., Hammet F., Joo J.E., Wong E.M., Hosseinpour M., Giles G.G., Hopper J.L., Nguyen-Dumont T., MacInnis R.J., Southey M.C., Yu C., Dugue P.-A., Dowty J.G., Hammet F., Joo J.E., Wong E.M., Hosseinpour M., Giles G.G., Hopper J.L., Nguyen-Dumont T., MacInnis R.J., and Southey M.C.
Abstract: OBJECTIVE: In previous studies using Illumina Infinium methylation arrays, we have identified DNA methylation marks associated with cancer predisposition and progression. In the present study, we have sought to find appropriate technology to both technically validate our data and expand our understanding of DNA methylation in these genomic regions. Here, we aimed to assess the repeatability of methylation measures made using QIAseq targeted methyl panel and to compare them with those obtained from the Illumina HumanMethylation450 (HM450K) assay. We included in the analysis high molecular weight DNA extracted from whole blood (WB) and DNA extracted from formalin-fixed paraffin-embedded tissues (FFPE). RESULT(S): The repeatability of QIAseq-methylation measures was assessed at 40 CpGs, using the Intraclass Correlation Coefficient (ICC). The mean ICCs and 95% confidence intervals (CI) were 0.72 (0.62-0.81), 0.59 (0.47-0.71) and 0.80 (0.73-0.88) for WB, FFPE and both sample types combined, respectively. For technical replicates measured using QIAseq and HM450K, the mean ICCs (95% CI) were 0.53 (0.39-0.68), 0.43 (0.31-0.56) and 0.70 (0.59-0.80), respectively. Bland-Altman plots indicated good agreement between QIAseq and HM450K measurements. These results demonstrate that the QIAseq targeted methyl panel produces reliable and reproducible methylation measurements across the 40 CpGs that were examined.Copyright © 2021. The Author(s).
Published: 2021

21. 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

22. 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

23. Prospective evaluation over 15 years of six breast cancer risk models.

Author: Li S.X., Milne R.L., Nguyen-Dumont T.u., English D.R., Giles G.G., Southey M.C., Antoniou A.C., Lee A., Winship I., Hopper J.L., Terry M.B., Macinnis R.J., Li S.X., Milne R.L., Nguyen-Dumont T.u., English D.R., Giles G.G., Southey M.C., Antoniou A.C., Lee A., Winship I., Hopper J.L., Terry M.B., and Macinnis R.J.
Abstract: Prospective validation of risk models is needed to assess their clinical utility, particularly over the longer term. We evaluated the performance of six commonly used breast cancer risk models (IBIS, BOADICEA, BRCAPRO, BRCAPRO-BCRAT, BCRAT, and iCARE-lit). 15-year risk scores were estimated using lifestyle factors and family history measures from 7608 women in the Melbourne Collaborative Cohort Study who were aged 50-65 years and unaffected at commencement of follow-up two (conducted in 2003-2007), of whom 351 subsequently developed breast cancer. Risk discrimination was assessed using the C-statistic and calibration using the expected/observed number of incident cases across the spectrum of risk by age group (50-54, 55-59, 60-65 years) and family history of breast cancer. C-statistics were higher for BOADICEA (0.59, 95% confidence interval (CI) 0.56-0.62) and IBIS (0.57, 95% CI 0.54-0.61) than the other models (p-difference <= 0.04). No model except BOADICEA calibrated well across the spectrum of 15-year risk (p-value < 0.03). The performance of BOADICEA and IBIS was similar across age groups and for women with or without a family history. For middle-aged Australian women, BOADICEA and IBIS had the highest discriminatory accuracy of the six risk models, but apart from BOADICEA, no model was well-calibrated across the risk spectrum.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Published: 2021

24. Risk factors for melanoma by anatomical site: an evaluation of aetiological heterogeneity.

Author: Armstrong B.K., Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., King P., Barrett J.H., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Bishop D.T., Harrison J., Iles M.M., Armstrong B.K., Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., King P., Barrett J.H., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Bishop D.T., Harrison J., and Iles M.M.
Abstract: Background: Melanoma aetiology has been proposed to have two pathways, which are determined by naevi and type of sun exposure and related to the anatomical site where melanoma develops. Objective(s): We examined associations with melanoma by anatomical site for a comprehensive set of risk factors including pigmentary and naevus phenotypes, ultraviolet radiation exposure and polygenic risk. Method(s): We analysed harmonized data from 2617 people with incident first invasive melanoma and 975 healthy controls recruited through two population-based case-control studies in Australia and the UK. Questionnaire data were collected by interview using a single protocol, and pathway-specific polygenic risk scores were derived from DNA samples. We estimated adjusted odds ratios using unconditional logistic regression that compared melanoma cases at each anatomical site with all controls. Result(s): When cases were compared with control participants, there were stronger associations for many naevi vs. no naevi for melanomas on the trunk, and upper and lower limbs than on the head and neck (P-heterogeneity < 0.001). Very fair skin (vs. olive/brown skin) was more weakly related to melanoma on the trunk than to melanomas at other sites (P-heterogeneity = 0.04). There was no significant difference by anatomical site for polygenic risk. Increased weekday sun exposure was positively associated with melanoma on the head and neck but not on other sites. Conclusion(s): We found evidence of aetiological heterogeneity for melanoma, supporting the dual pathway hypothesis. These findings enhance understanding of risk factors for melanoma and can guide prevention and skin examination education and practices.Copyright © 2020 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.
Published: 2021

25. Genetic insights into biological mechanisms governing human ovarian ageing.

Author: Ruth K.S., Day F.R., Hussain J., Martinez-Marchal A., Aiken C.E., Azad A., Thompson D.J., Knoblochova L., Abe H., Tarry-Adkins J.L., Gonzalez J.M., Fontanillas P., Claringbould A., Bakker O.B., Sulem P., Walters R.G., Terao C., Turon S., Horikoshi M., Lin K., Onland-Moret N.C., Sankar A., Hertz E.P.T., Timshel P.N., Shukla V., Borup R., Olsen K.W., Aguilera P., Ferrer-Roda M., Huang Y., Stankovic S., Timmers P.R.H.J., Ahearn T.U., Alizadeh B.Z., Naderi E., Andrulis I.L., Arnold A.M., Aronson K.J., Augustinsson A., Bandinelli S., Barbieri C.M., Beaumont R.N., Becher H., Beckmann M.W., Benonisdottir S., Bergmann S., Bochud M., Boerwinkle E., Bojesen S.E., Bolla M.K., Boomsma D.I., Bowker N., Brody J.A., Broer L., Buring J.E., Campbell A., Campbell H., Castelao J.E., Catamo E., Chanock S.J., Chenevix-Trench G., Ciullo M., Corre T., Couch F.J., Cox A., Crisponi L., Cross S.S., Cucca F., Czene K., Smith G.D., de Geus E.J.C.N., de Mutsert R., De Vivo I., Demerath E.W., Dennis J., Dunning A.M., Dwek M., Eriksson M., Esko T., Fasching P.A., Faul J.D., Ferrucci L., Franceschini N., Frayling T.M., Gago-Dominguez M., Mezzavilla M., Garcia-Closas M., Gieger C., Giles G.G., Grallert H., Gudbjartsson D.F., Gudnason V., Guenel P., Haiman C.A., Hakansson N., Hall P., Hayward C., He C., He W., Heiss G., Hoffding M.K., Hopper J.L., Hottenga J.J., Hu F., Hunter D., Ikram M.A., Jackson R.D., Joaquim M.D.R., John E.M., Joshi P.K., Karasik D., Kardia S.L.R., Kartsonaki C., Karlsson R., Kitahara C.M., Kolcic I., Kooperberg C., Kraft P., Kurian A.W., Kutalik Z., La Bianca M., LaChance G., Langenberg C., Launer L.J., Laven J.S.E., Lawlor D.A., Le Marchand L., Li J., Lindblom A., Lindstrom S., Lindstrom T., Linet M., Liu Y.M., Liu S., Luan J., Magi R., Magnusson P.K.E., Mangino M., Mannermaa A., Marco B., Marten J., Martin N.G., Mbarek H., McKnight B., Medland S.E., Meisinger C., Meitinger T., Menni C., Metspalu A., Milani L., Milne R.L., Montgomery G.W., Mook-Kanamori D.O., Mulas A., Mulligan A.M., Nalls M.A., Newman A., Noordam R., Nutile T., Nyholt D.R., Olshan A.F., Olsson H., Painter J.N., Patel A.V., Pedersen N.L., Perjakova N., Peters A., Peters U., Pharoah P.D.P., Polasek O., Porcu E., Psaty B.M., Rahman I., Rennert G., Rennert H.S., Ridker P.M., Ring S.M., Robino A., Rose L.M., Rosendaal F.R., Rossouw J., Rudan I., Rueedi R., Ruggiero D., Sala C.F., Saloustros E., Sandler D.P., Sanna S., Sawyer E.J., Sarnowski C., Schlessinger D., Schmidt M.K., Schoemaker M.J., Schraut K.E., Scott C., Shekari S., Shrikhande A., Smith A.V., Smith B.H., Smith J.A., Sorice R., Southey M.C., Spector T.D., Spinelli J.J., Stampfer M., Stockl D., van Meurs J.B.J., Strauch K., Styrkarsdottir U., Swerdlow A.J., Tanaka T., Teras L.R., Teumer A., Thorsteinsdottir U., Timpson N.J., Toniolo D., Traglia M., Troester M.A., Truong T., Tyrrell J., Uitterlinden A.G., Ulivi S., Vachon C.M., Vitart V., Volker U., Vollenweider P., Volzke H., Wang Q., Wareham N.J., Weinberg C.R., Weir D.R., Wilcox A.N., van Dijk K.W., Willemsen G., Wilson J.F., Wolffenbuttel B.H.R., Wolk A., Wood A.R., Zhao W., Zygmunt M., Chen Z., Li L., Franke L., Burgess S., Deelen P., Pers T.H., Grondahl M.L., Andersen C.Y., Pujol A., Lopez-Contreras A.J., Daniel J.A., Stefansson K., Chang-Claude J., van der Schouw Y.T., Lunetta K.L., Chasman D.I., Easton D.F., Visser J.A., Ozanne S.E., Namekawa S.H., Solc P., Murabito J.M., Ong K.K., Hoffmann E.R., Murray A., Roig I., Perry J.R.B., Ruth K.S., Day F.R., Hussain J., Martinez-Marchal A., Aiken C.E., Azad A., Thompson D.J., Knoblochova L., Abe H., Tarry-Adkins J.L., Gonzalez J.M., Fontanillas P., Claringbould A., Bakker O.B., Sulem P., Walters R.G., Terao C., Turon S., Horikoshi M., Lin K., Onland-Moret N.C., Sankar A., Hertz E.P.T., Timshel P.N., Shukla V., Borup R., Olsen K.W., Aguilera P., Ferrer-Roda M., Huang Y., Stankovic S., Timmers P.R.H.J., Ahearn T.U., Alizadeh B.Z., Naderi E., Andrulis I.L., Arnold A.M., Aronson K.J., Augustinsson A., Bandinelli S., Barbieri C.M., Beaumont R.N., Becher H., Beckmann M.W., Benonisdottir S., Bergmann S., Bochud M., Boerwinkle E., Bojesen S.E., Bolla M.K., Boomsma D.I., Bowker N., Brody J.A., Broer L., Buring J.E., Campbell A., Campbell H., Castelao J.E., Catamo E., Chanock S.J., Chenevix-Trench G., Ciullo M., Corre T., Couch F.J., Cox A., Crisponi L., Cross S.S., Cucca F., Czene K., Smith G.D., de Geus E.J.C.N., de Mutsert R., De Vivo I., Demerath E.W., Dennis J., Dunning A.M., Dwek M., Eriksson M., Esko T., Fasching P.A., Faul J.D., Ferrucci L., Franceschini N., Frayling T.M., Gago-Dominguez M., Mezzavilla M., Garcia-Closas M., Gieger C., Giles G.G., Grallert H., Gudbjartsson D.F., Gudnason V., Guenel P., Haiman C.A., Hakansson N., Hall P., Hayward C., He C., He W., Heiss G., Hoffding M.K., Hopper J.L., Hottenga J.J., Hu F., Hunter D., Ikram M.A., Jackson R.D., Joaquim M.D.R., John E.M., Joshi P.K., Karasik D., Kardia S.L.R., Kartsonaki C., Karlsson R., Kitahara C.M., Kolcic I., Kooperberg C., Kraft P., Kurian A.W., Kutalik Z., La Bianca M., LaChance G., Langenberg C., Launer L.J., Laven J.S.E., Lawlor D.A., Le Marchand L., Li J., Lindblom A., Lindstrom S., Lindstrom T., Linet M., Liu Y.M., Liu S., Luan J., Magi R., Magnusson P.K.E., Mangino M., Mannermaa A., Marco B., Marten J., Martin N.G., Mbarek H., McKnight B., Medland S.E., Meisinger C., Meitinger T., Menni C., Metspalu A., Milani L., Milne R.L., Montgomery G.W., Mook-Kanamori D.O., Mulas A., Mulligan A.M., Nalls M.A., Newman A., Noordam R., Nutile T., Nyholt D.R., Olshan A.F., Olsson H., Painter J.N., Patel A.V., Pedersen N.L., Perjakova N., Peters A., Peters U., Pharoah P.D.P., Polasek O., Porcu E., Psaty B.M., Rahman I., Rennert G., Rennert H.S., Ridker P.M., Ring S.M., Robino A., Rose L.M., Rosendaal F.R., Rossouw J., Rudan I., Rueedi R., Ruggiero D., Sala C.F., Saloustros E., Sandler D.P., Sanna S., Sawyer E.J., Sarnowski C., Schlessinger D., Schmidt M.K., Schoemaker M.J., Schraut K.E., Scott C., Shekari S., Shrikhande A., Smith A.V., Smith B.H., Smith J.A., Sorice R., Southey M.C., Spector T.D., Spinelli J.J., Stampfer M., Stockl D., van Meurs J.B.J., Strauch K., Styrkarsdottir U., Swerdlow A.J., Tanaka T., Teras L.R., Teumer A., Thorsteinsdottir U., Timpson N.J., Toniolo D., Traglia M., Troester M.A., Truong T., Tyrrell J., Uitterlinden A.G., Ulivi S., Vachon C.M., Vitart V., Volker U., Vollenweider P., Volzke H., Wang Q., Wareham N.J., Weinberg C.R., Weir D.R., Wilcox A.N., van Dijk K.W., Willemsen G., Wilson J.F., Wolffenbuttel B.H.R., Wolk A., Wood A.R., Zhao W., Zygmunt M., Chen Z., Li L., Franke L., Burgess S., Deelen P., Pers T.H., Grondahl M.L., Andersen C.Y., Pujol A., Lopez-Contreras A.J., Daniel J.A., Stefansson K., Chang-Claude J., van der Schouw Y.T., Lunetta K.L., Chasman D.I., Easton D.F., Visser J.A., Ozanne S.E., Namekawa S.H., Solc P., Murabito J.M., Ong K.K., Hoffmann E.R., Murray A., Roig I., and Perry J.R.B.
Abstract: Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations3. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.Copyright © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
Published: 2021

26. Population-based estimates of the age-specific cumulative risk of breast cancer for pathogenic variants in CHEK2: Findings from the australian breast cancer family registry.

Author: Southey M.C., Tsimiklis H., Winship I.M., Giles G.G., Milne R.L., Hopper J.L., Nguyen-dumont T.U., Dowty J.G., Steen J.A., Renault A.-L., Hammet F., Mahmoodi M., Theys D., Rewse A., Southey M.C., Tsimiklis H., Winship I.M., Giles G.G., Milne R.L., Hopper J.L., Nguyen-dumont T.U., Dowty J.G., Steen J.A., Renault A.-L., Hammet F., Mahmoodi M., Theys D., and Rewse A.
Abstract: Case-control studies of breast cancer have consistently shown that pathogenic variants in CHEK2 are associated with about a 3-fold increased risk of breast cancer. Information about the recurrent protein-truncating variant CHEK2 c.1100delC dominates this estimate. There have been no formal estimates of age-specific cumulative risk of breast cancer for all CHEK2 pathogenic (in-cluding likely pathogenic) variants combined. We conducted a population-based case-control-fam-ily study of pathogenic CHEK2 variants (26 families, 1071 relatives) and estimated the age-specific cumulative risk of breast cancer using segregation analysis. The estimated hazard ratio for carriers of pathogenic CHEK2 variants (combined) was 4.9 (95% CI 2.5-9.5) relative to non-carriers. The HR for carriers of the CHEK2 c.1100delC variant was estimated to be 3.5 (95% CI 1.02-11.6) and the HR for carriers of all other CHEK2 variants combined was estimated to be 5.7 (95% CI 2.5-12.9). The age-specific cumulative risk of breast cancer was estimated to be 18% (95% CI 11-30%) and 33% (95% CI 21-48%) to age 60 and 80 years, respectively. These findings provide important information for the clinical management of breast cancer risk for women carrying pathogenic variants in CHEK2.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Published: 2021

27. Erratum: 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)).

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., Adank M.A., 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., Collee J.M., 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., 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., Adank M.A., 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., Collee J.M., 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., 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: A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-23162-4.
Published: 2021

28. 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., 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., 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., Le Marchand L., Lejbkowicz F., Li J., Long J., Lophatananon A., Lubinski J., Mannermaa A., Manoochehri M., Manoukian S., Margolin S., Matsuo K., Mavroudis D., Mayes R., Menon U., Milne R.L., Mohd Taib N.A., 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., van den Ouweland A.M.W., 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., 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., 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., 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., Le Marchand L., Lejbkowicz F., Li J., Long J., Lophatananon A., Lubinski J., Mannermaa A., Manoochehri M., Manoukian S., Margolin S., Matsuo K., Mavroudis D., Mayes R., Menon U., Milne R.L., Mohd Taib N.A., 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., van den Ouweland A.M.W., 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., and Fletcher O.
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 x 10-31).Copyright © 2021 The Authors
Published: 2021

29. Association of foxo3 blood dna methylation with cancer risk, cancer survival, and mortality.

Author: Yu C., Hodge A.M., Wong E.M., Joo J.E., Makalic E., Schmidt D., Buchanan D.D., Hopper J.L., Giles G.G., Southey M.C., Dugue P.-A., Yu C., Hodge A.M., Wong E.M., Joo J.E., Makalic E., Schmidt D., Buchanan D.D., Hopper J.L., Giles G.G., Southey M.C., and Dugue P.-A.
Abstract: Genetic variants in FOXO3 are associated with longevity. Here, we assessed whether blood DNA methylation at FOXO3 was associated with cancer risk, survival, and mortality. We used data from eight prospective case-control studies of breast (n = 409 cases), colorectal (n = 835), gastric (n = 170), kidney (n = 143), lung (n = 332), prostate (n = 869), and urothelial (n = 428) cancer and B-cell lymphoma (n = 438). Case-control pairs were matched on age, sex, country of birth, and smoking (lung cancer study). Conditional logistic regression was used to assess associations between cancer risk and methylation at 45 CpGs of FOXO3 included on the HumanMethylation450 assay. Mixed-effects Cox models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for associations with cancer survival (total n = 2286 deaths). Additionally, using data from 1088 older participants, we assessed associations of FOXO3 methylation with overall and cause-specific mortality (n = 354 deaths). Methylation at a CpG in the first exon region of FOXO3 (6:108882981) was associated with gastric cancer survival (HR = 2.39, 95% CI: 1.60-3.56, p = 1.9 x 10-5). Methylation at three CpGs in TSS1500 and gene body was associated with lung cancer survival (p < 6.1 x 10-5). We found no evidence of associations of FOXO3 methylation with cancer risk and mortality. Our findings may contribute to understanding the implication of FOXO3 in longevity.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Published: 2021

30. Association of chronic musculoskeletal pain with mortality among UK adults: A population-based cohort study with mediation analysis.

Author: Chen L., Ferreira M.L., Nassar N., Preen D.B., Hopper J.L., Li S., Bui M., Beckenkamp P.R., Shi B., Arden N.K., Ferreira P.H., Chen L., Ferreira M.L., Nassar N., Preen D.B., Hopper J.L., Li S., Bui M., Beckenkamp P.R., Shi B., Arden N.K., and Ferreira P.H.
Abstract: Background: We aimed to quantify the association between chronic musculoskeletal pain and all-cause mortality, and to investigate the extent to which this association is mediated by physical activity, smoking status, alcohol consumption, and opioid use. Method(s): For this population-based cohort study, we used data from UK Biobank, UK between baseline visit (2006-2010) to 18th December 2020. We assessed the associations between chronic musculoskeletal pain and all-cause mortality using a Cox proportional hazards model. We performed causal mediation analyses to examine the proportion of the association between chronic musculoskeletal pain and all-cause mortality. Finding(s): Of the 384,367 included participants, a total of 187,269 participants reported chronic musculoskeletal pain. Higher number of pain sites was associated with increased risk of all-cause mortality compared to having no pain (e.g., four sites vs no site of pain, Hazard Ratio [HR] 1.46, 95% Confidence Interval [CI] 1.35 to 1.57). The multiple mediator analyses showed that the mediating proportions of all four mediators ranged from 53.4% to 122.6%: among participants with two or more pain sites, the effect estimate reduced substantially, for example, HR reduced from 1.25 (95% CI: 1.21 to 1.30; two pain sites) to 1.07 (95% CI: 1.01 to 1.11; two pain sites). Interpretation(s): We found that higher number of pain sites was associated with increased risk of all-cause mortality compared to having no pain, and at least half of the association of chronic musculoskeletal pain with increased all-cause mortality may be accounted for by four mediators. Funding(s): Twins Research Australia.Copyright © 2021 The Authors
Published: 2021

31. CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers.

Author: Johnson N., Maguire S., Morra A., Kapoor P.M., Tomczyk K., Jones M.E., Schoemaker M.J., Gilham C., 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., Baynes C., Freeman L.E.B., Beckmann M.W., Benitez J., Bermisheva M., Blomqvist C., Boeckx B., Bogdanova N.V., Bojesen S.E., Brauch H., Brenner H., Burwinkel B., Campa D., Canzian F., Castelao J.E., Chanock S.J., Chenevix-Trench G., Clarke C.L., Borresen-Dale A.-L., Alnaes G.I.G., 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., Dork T., Eliassen A.H., Engel C., Evans D.G., Fasching P.A., Figueroa J., Floris G., Flyger H., Gago-Dominguez M., Gapstur S.M., Garcia-Closas M., Gaudet M.M., Giles G.G., Goldberg M.S., Gonzalez-Neira A., Bowtell D.D.L., Webb P.M., Guenel P., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Harrington P.A., Hart S.N., Hooning M.J., Hopper J.L., Howell A., Hunter D.J., Clarke C., Scott R., 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., 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.L., 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., Sexton A., Shelling A., Simpson P., Southey M.C., 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., Keeman R., Khusnutdinova E., Kitahara C.M., Kosma V.-M., Koutros S., Kraft P., Kristensen V.N., Kurian A.W., Lambrechts D., Le Marchand L., Linet M., Lubinski J., Mannermaa A., Manoukian S., Margolin S., Martens J.W.M., Mavroudis D., Mayes R., Meindl A., Neuhausen S.L., Nevanlinna H., Newman W.G., Nielsen S.F., Nordestgaard B.G., Obi N., Olshan A.F., Olson J.E., Olsson H., Orban E., Park-Simon T.-W., Peterlongo P., Plaseska-Karanfilska D., Pylkas K., Rennert G., Rennert H.S., Ruddy K.J., Saloustros E., Sandler D.P., Sawyer E.J., Schmutzler R.K., Scott C., Shu X.-O., Simard J., Smichkoska S., Sohn C., Spinelli J.J., Stone J., Tamimi R.M., Taylor J.A., Tollenaar R.A.E.M., Tomlinson I., Troester M.A., Truong T., Vachon C.M., van Veen E.M., Wang S.S., Weinberg C.R., Wendt C., Wildiers H., Winqvist R., Wolk A., Zheng W., Ziogas A., Dunning A.M., Pharoah P.D.P., Easton D.F., Howie A.F., Peto J., dos-Santos-Silva I., Swerdlow A.J., Chang-Claude J., Schmidt M.K., Orr N., Fletcher O., Johnson N., Maguire S., Morra A., Kapoor P.M., Tomczyk K., Jones M.E., Schoemaker M.J., Gilham C., 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., Baynes C., Freeman L.E.B., Beckmann M.W., Benitez J., Bermisheva M., Blomqvist C., Boeckx B., Bogdanova N.V., Bojesen S.E., Brauch H., Brenner H., Burwinkel B., Campa D., Canzian F., Castelao J.E., Chanock S.J., Chenevix-Trench G., Clarke C.L., Borresen-Dale A.-L., Alnaes G.I.G., 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., Dork T., Eliassen A.H., Engel C., Evans D.G., Fasching P.A., Figueroa J., Floris G., Flyger H., Gago-Dominguez M., Gapstur S.M., Garcia-Closas M., Gaudet M.M., Giles G.G., Goldberg M.S., Gonzalez-Neira A., Bowtell D.D.L., Webb P.M., Guenel P., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Harrington P.A., Hart S.N., Hooning M.J., Hopper J.L., Howell A., Hunter D.J., Clarke C., Scott R., 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., 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.L., 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., Sexton A., Shelling A., Simpson P., Southey M.C., 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., Keeman R., Khusnutdinova E., Kitahara C.M., Kosma V.-M., Koutros S., Kraft P., Kristensen V.N., Kurian A.W., Lambrechts D., Le Marchand L., Linet M., Lubinski J., Mannermaa A., Manoukian S., Margolin S., Martens J.W.M., Mavroudis D., Mayes R., Meindl A., Neuhausen S.L., Nevanlinna H., Newman W.G., Nielsen S.F., Nordestgaard B.G., Obi N., Olshan A.F., Olson J.E., Olsson H., Orban E., Park-Simon T.-W., Peterlongo P., Plaseska-Karanfilska D., Pylkas K., Rennert G., Rennert H.S., Ruddy K.J., Saloustros E., Sandler D.P., Sawyer E.J., Schmutzler R.K., Scott C., Shu X.-O., Simard J., Smichkoska S., Sohn C., Spinelli J.J., Stone J., Tamimi R.M., Taylor J.A., Tollenaar R.A.E.M., Tomlinson I., Troester M.A., Truong T., Vachon C.M., van Veen E.M., Wang S.S., Weinberg C.R., Wendt C., Wildiers H., Winqvist R., Wolk A., Zheng W., Ziogas A., Dunning A.M., Pharoah P.D.P., Easton D.F., Howie A.F., Peto J., dos-Santos-Silva I., Swerdlow A.J., Chang-Claude J., Schmidt M.K., Orr N., and Fletcher O.
Abstract: Background: Epidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk. Method(s): We carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry. Result(s): For pregnanediol-3-glucuronide, there were no genome-wide significant associations; for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (-49.2%, 95% CI -56.1% to -41.1%, P = 3.1 x 10-18); in follow-up analyses, rs45446698-C was also associated with lower progesterone (-26.7%, 95% CI -39.4% to -11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82-0.91, P = 6.9 x 10-8). Conclusion(s): The CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.Copyright © 2021, The Author(s).
Published: 2021

32. Combined Associations of a Polygenic Risk Score and Classical Risk Factors with Breast Cancer Risk.

Author: Kapoor P.M., Mavaddat N., Choudhury P.P., Wilcox A.N., Lindstrom S., Behrens S., Michailidou K., Dennis J., Bolla M.K., Wang Q., Jung A., Abu-Ful Z., Ahearn T., Andrulis I.L., Anton-Culver H., Arndt V., Aronson K.J., Auer P.L., Freeman L.E.B., Becher H., Beckmann M.W., Beeghly-Fadiel A., Benitez J., Bernstein L., Bojesen S.E., Brauch H., Brenner H., Bruning T., Cai Q., Campa D., Canzian F., Carracedo A., Carter B.D., Castelao J.E., Chanock S.J., Chatterjee N., Chenevix-Trench G., Clarke C.L., Couch F.J., Cox A., Cross S.S., Czene K., Dai J.Y., Earp H.S., Ekici A.B., Eliassen A.H., Eriksson M., Evans D.G., Fasching P.A., Figueroa J., Fritschi L., Gabrielson M., Gago-Dominguez M., Gao C., Gapstur S.M., Gaudet M.M., Giles G.G., Gonzalez-Neira A., Guenel P., Haeberle L., Haiman C.A., Hakansson N., Hall P., Hamann U., Hatse S., Heyworth J., Holleczek B., Hoover R.N., Hopper J.L., Howell A., Hunter D.J., John E.M., Jones M.E., Kaaks R., Keeman R., Kitahara C.M., Ko Y.-D., Koutros S., Kurian A.W., Lambrechts D., Le Marchand L., Lee E., Lejbkowicz F., Linet M., Lissowska J., Llaneza A., Macinnis R.J., Martinez M.E., Maurer T., Mclean C., Neuhausen S.L., Newman W.G., Norman A., O'brien K.M., Olshan A.F., Olson J.E., Olsson H., Orr N., Perou C.M., Pita G., Polley E.C., Prentice R.L., Rennert G., Rennert H.S., Ruddy K.J., Sandler D.P., Saunders C., Schoemaker M.J., Schottker B., Schumacher F., Scott C., Scott R.J., Shu X.-O., Smeets A., Southey M.C., Spinelli J.J., Stone J., Swerdlow A.J., Tamimi R.M., Taylor J.A., Troester M.A., Vachon C.M., Van Veen E.M., Wang X., Weinberg C.R., Weltens C., Willett W., Winham S.J., Wolk A., Yang X.R., Zheng W., Ziogas A., Dunning A.M., Pharoah P.D.P., Schmidt M.K., Kraft P., Easton D.F., Milne R.L., Garcia-Closas M., Chang-Claude J., Kapoor P.M., Mavaddat N., Choudhury P.P., Wilcox A.N., Lindstrom S., Behrens S., Michailidou K., Dennis J., Bolla M.K., Wang Q., Jung A., Abu-Ful Z., Ahearn T., Andrulis I.L., Anton-Culver H., Arndt V., Aronson K.J., Auer P.L., Freeman L.E.B., Becher H., Beckmann M.W., Beeghly-Fadiel A., Benitez J., Bernstein L., Bojesen S.E., Brauch H., Brenner H., Bruning T., Cai Q., Campa D., Canzian F., Carracedo A., Carter B.D., Castelao J.E., Chanock S.J., Chatterjee N., Chenevix-Trench G., Clarke C.L., Couch F.J., Cox A., Cross S.S., Czene K., Dai J.Y., Earp H.S., Ekici A.B., Eliassen A.H., Eriksson M., Evans D.G., Fasching P.A., Figueroa J., Fritschi L., Gabrielson M., Gago-Dominguez M., Gao C., Gapstur S.M., Gaudet M.M., Giles G.G., Gonzalez-Neira A., Guenel P., Haeberle L., Haiman C.A., Hakansson N., Hall P., Hamann U., Hatse S., Heyworth J., Holleczek B., Hoover R.N., Hopper J.L., Howell A., Hunter D.J., John E.M., Jones M.E., Kaaks R., Keeman R., Kitahara C.M., Ko Y.-D., Koutros S., Kurian A.W., Lambrechts D., Le Marchand L., Lee E., Lejbkowicz F., Linet M., Lissowska J., Llaneza A., Macinnis R.J., Martinez M.E., Maurer T., Mclean C., Neuhausen S.L., Newman W.G., Norman A., O'brien K.M., Olshan A.F., Olson J.E., Olsson H., Orr N., Perou C.M., Pita G., Polley E.C., Prentice R.L., Rennert G., Rennert H.S., Ruddy K.J., Sandler D.P., Saunders C., Schoemaker M.J., Schottker B., Schumacher F., Scott C., Scott R.J., Shu X.-O., Smeets A., Southey M.C., Spinelli J.J., Stone J., Swerdlow A.J., Tamimi R.M., Taylor J.A., Troester M.A., Vachon C.M., Van Veen E.M., Wang X., Weinberg C.R., Weltens C., Willett W., Winham S.J., Wolk A., Yang X.R., Zheng W., Ziogas A., Dunning A.M., Pharoah P.D.P., Schmidt M.K., Kraft P., Easton D.F., Milne R.L., Garcia-Closas M., and Chang-Claude J.
Abstract: We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer. Copyright © 2020 The Author(s).
Published: 2021

33. 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., Kuhn T., Kaaks R., Tsilidis K., Sanchez M.-J., Amiano P., Ardanaz E., Chirlaque Lopez 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., Tjonneland 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., 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., Kuhn T., Kaaks R., Tsilidis K., Sanchez M.-J., Amiano P., Ardanaz E., Chirlaque Lopez 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., Tjonneland 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., and 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.Copyright © 2021 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.
Published: 2021

34. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers.

Author: Radice P., 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.L., 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., 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., Rantala J., Rashid M.U., Rennert G., Rennert H.S., Robson M., Radice P., 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.L., 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., 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., Rantala J., Rashid M.U., Rennert G., Rennert H.S., and Robson M.
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.Copyright © 2021, The Author(s).
Published: 2021

35. Prediagnosis alcohol intake and metachronous cancer risk in cancer survivors: A prospective cohort study.

Author: Jayasekara H., Hodge A.M., Haydon A., Room R., Hopper J.L., English D.R., Smith-Warner S.A., Giles G.G., Milne R.L., MacInnis R.J., Jayasekara H., Hodge A.M., Haydon A., Room R., Hopper J.L., English D.R., Smith-Warner S.A., Giles G.G., Milne R.L., and MacInnis R.J.
Abstract: Alcohol consumption is a known cause of cancer, but its role in the etiology of second primary (metachronous) cancer is uncertain. Associations between alcohol intake up until study enrollment (prediagnosis) and risk of metachronous cancer were estimated using 9435 participants in the Melbourne Collaborative Cohort Study who were diagnosed with their first invasive cancer after enrollment (1990-1994). Follow-up was from date of first invasive cancer until diagnosis of metachronous cancer, death or censor date (February 2018), whichever came first. Alcohol intake for 10-year periods from age 20 until decade encompassing baseline using recalled beverage-specific frequency and quantity was used to calculate baseline and lifetime intakes, and group-based intake trajectories. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs), adjusted for potential confounders. After a mean follow-up of 7 years, 1512 metachronous cancers were identified. A 10 g/d increment in prediagnosis lifetime alcohol intake (HR = 1.03, 95% CI = 1.00-1.06; Pvalue =.02) and an intake of >=60 g/d (HR = 1.32, 95% CI = 1.01-1.73) were associated with increased metachronous cancer risk. We observed positive associations (per 10 g/d increment) for metachronous colorectal (HR = 1.07, 95% CI = 1.00-1.14), upper aero-digestive tract (UADT) (HR = 1.16, 95% CI = 1.00-1.34) and kidney cancer (HR = 1.24, 95% CI = 1.10-1.39). Although these findings were partly explained by effects of smoking, the association for kidney cancer remained unchanged when current smokers or obese individuals were excluded. Alcohol intake trajectories over the life course confirmed associations with metachronous cancer risk. Prediagnosis long-term alcohol intake, and particularly heavy drinking, may increase the risk of metachronous cancer, particularly of the colorectum, UADT and kidney.Copyright © 2021 Union for International Cancer Control.
Published: 2021

36. Dna methylation signatures and the contribution of age-associated methylomic drift to carcinogenesis in early-onset colorectal cancer.

Author: Joo J.E., Clendenning M., Wong E.M., Rosty C., Mahmood K., Georgeson P., Winship I.M., Preston S.G., Win A.K., Dugue P.-A., Jayasekara H., English D., Macrae F.A., Hopper J.L., Jenkins M.A., Milne R.L., Giles G.G., Southey M.C., Buchanan D.D., Joo J.E., Clendenning M., Wong E.M., Rosty C., Mahmood K., Georgeson P., Winship I.M., Preston S.G., Win A.K., Dugue P.-A., Jayasekara H., English D., Macrae F.A., Hopper J.L., Jenkins M.A., Milne R.L., Giles G.G., Southey M.C., and Buchanan D.D.
Abstract: We investigated aberrant DNA methylation (DNAm) changes and the contribution of ageing-associated methylomic drift and age acceleration to early-onset colorectal cancer (EOCRC) carcinogenesis. Genome-wide DNAm profiling using the Infinium HM450K on 97 EOCRC tumour and 54 normal colonic mucosa samples was compared with: (1) intermediate-onset CRC (IOCRC; diagnosed between 50-70 years; 343 tumour and 35 normal); and (2) late-onset CRC (LOCRC; >70 years; 318 tumour and 40 normal). CpGs associated with age-related methylation drift were identified using a public dataset of 231 normal mucosa samples from people without CRC. DNAm-age was estimated using epiTOC2. Common to all three age-of-onset groups, 88,385 (20% of all CpGs) CpGs were differentially methylated between tumour and normal mucosa. We identified 234 differentially methylated genes that were unique to the EOCRC group; 13 of these DMRs/genes were replicated in EOCRC compared with LOCRCs from TCGA. In normal mucosa from people without CRC, we identified 28,154 CpGs that undergo ageing-related DNAm drift, and of those, 65% were aberrantly methylated in EOCRC tumours. Based on the mitotic-based DNAm clock epiTOC2, we identified age acceleration in normal mucosa of people with EOCRC compared with normal mucosa from the IOCRC, LOCRC groups (p = 3.7 x 10-16) and young people without CRC (p = 5.8 x 10-6). EOCRC acquires unique DNAm alterations at 234 loci. CpGs associated with ageing-associated drift were widely affected in EOCRC without needing the decades-long accrual of DNAm drift as commonly seen in intermediate-and late-onset CRCs. Accelerated ageing in normal mucosa from people with EOCRC potentially underlies the earlier age of diagnosis in CRC carcinogenesis.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Published: 2021

37. Age dependency of the polygenic risk score for colorectal cancer.

Author: Hopper J.L., Li S., Hopper J.L., and Li S.
Published: 2021

38. Vtrna2-1: Genetic variation, heritable methylation and disease association.

Author: Dugue P.-A., Yu C., McKay T., Wong E.M., Joo J.E., Tsimiklis H., Hammet F., Mahmoodi M., Theys D., Kconfab, Hopper J.L., Giles G.G., Milne R.L., Steen J.A., Dowty J.G., Nguyen-dumont T., Southey M.C., Dugue P.-A., Yu C., McKay T., Wong E.M., Joo J.E., Tsimiklis H., Hammet F., Mahmoodi M., Theys D., Kconfab, Hopper J.L., Giles G.G., Milne R.L., Steen J.A., Dowty J.G., Nguyen-dumont T., and Southey M.C.
Abstract: VTRNA2-1 is a metastable epiallele with accumulating evidence that methylation at this region is heritable, modifiable and associated with disease including risk and progression of cancer. This study investigated the influence of genetic variation and other factors such as age and adult lifestyle on blood DNA methylation in this region. We first sequenced the VTRNA2-1 gene region in multiple-case breast cancer families in which VTRNA2-1 methylation was identified as heritable and associated with breast cancer risk. Methylation quantitative trait loci (mQTL) were investigated using a prospective cohort study (4500 participants with genotyping and methylation data). The cis-mQTL analysis (334 variants +/- 50 kb of the most heritable CpG site) identified 43 variants associated with VTRNA2-1 methylation (p < 1.5 x 10-4 ); however, these explained little of the methylation variation (R2 < 0.5% for each of these variants). No genetic variants elsewhere in the genome were found to strongly influence VTRNA2-1 methylation. SNP-based heritability estimates were consistent with the mQTL findings (h2 = 0, 95%CI: -0.14 to 0.14). We found no evidence that age, sex, country of birth, smoking, body mass index, alcohol consumption or diet influenced blood DNA methylation at VTRNA2-1. Genetic factors and adult lifestyle play a minimal role in explaining methylation var-iability at the heritable VTRNA2-1 cluster.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Published: 2021

39. Breast cancer chemoprevention: Use and views of australian women and their clinicians.

Author: Jones S.C., Hunter M., Mazza D., McLachlan S.-A., Phillips K.-A., Milne R.L., Hickey M., Macdonald C., Saunders C.M., Emery J.D., Hopper J.L., Friedlander M.L., Nesci S., Keogh L.A., Jones S.C., Hunter M., Mazza D., McLachlan S.-A., Phillips K.-A., Milne R.L., Hickey M., Macdonald C., Saunders C.M., Emery J.D., Hopper J.L., Friedlander M.L., Nesci S., and Keogh L.A.
Abstract: Guidelines endorse the use of chemoprevention for breast cancer risk reduction. This study examined the barriers and facilitators to chemoprevention use for Australian women at increased risk of breast cancer, and their clinicians. Surveys, based on the Theoretical Domains Framework, were mailed to 1,113 women at >=16% lifetime risk of breast cancer who were enrolled in the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer cohort study (kCon-Fab), and their 524 treating clinicians. Seven hundred twentyfivewomen (65%) and 221 (42%) clinicians responded. Only 10 (1.4%) kConFab women had ever taken chemoprevention. Three hundred seventy-eight (52%) kConFab women, two (3%) breast surgeons, and 51 (35%) family physicians were not awareof chemoprevention. Forwomen, thestrongestbarriers to chemopreventionwere side effects (31%) and inadequate information (23%), which operate in the Theoretical Domains Framework domains of "beliefs about consequences"and "knowledge,"respectively. Strongest facilitators related to tamoxifen's long-term efficacy (35%, "knowledge,""beliefs about consequences,"and "goals"domains), staying healthy for family (13%, "social role"and "goals"domains), and abnormal breast biopsy (13%, "environmental context"domain). The strongest barrier for family physicians was insufficient knowledge (45%, "knowledge"domain) and for breast surgeons was medication side effects (40%, "beliefs about consequences"domain). The strongest facilitators for both clinician groups related to clear guidelines, strong family history, and better tools to select patients ("environmental context and resources"domain). Clinician knowledge and resources, and beliefs about the side-effect consequences of chemoprevention, are key domains that could be targeted to potentially enhance uptake.Copyright © 2020 American Association for Cancer Research.
Published: 2021

40. Salicylic acid and risk of colorectal cancer: A two-sample mendelian randomization study.

Author: Nounu A., Richmond R.C., Stewart I.D., Surendran P., Wareham N.J., Butterworth A., Weinstein S.J., Albanes D., Baron J.A., Hopper J.L., Figueiredo J.C., Newcomb P.A., Lindor N.M., Casey G., Platz E.A., Marchand L.L., Ulrich C.M., Li C.I., van Dujinhoven F.J.B., Gsur A., Campbell P.T., Moreno V., Vodicka P., Vodickova L., Amitay E., Alwers E., Chang-Claude J., Sakoda L.C., Slattery M.L., Schoen R.E., Gunter M.J., Castellvi-Bel S., Kim H.-R., Kweon S.-S., Chan A.T., Li L., Zheng W., Bishop D.T., Buchanan D.D., Giles G.G., Gruber S.B., Rennert G., Stadler Z.K., Harrison T.A., Lin Y., Keku T.O., Woods M.O., Schafmayer C., Van Guelpen B., Gallinger S., Hampel H., Berndt S.I., Pharoah P.D.P., Lindblom A., Wolk A., Wu A.H., White E., Peters U., Drew D.A., Scherer D., Bermejo J.L., Brenner H., Hoffmeister M., Williams A.C., Relton C.L., Nounu A., Richmond R.C., Stewart I.D., Surendran P., Wareham N.J., Butterworth A., Weinstein S.J., Albanes D., Baron J.A., Hopper J.L., Figueiredo J.C., Newcomb P.A., Lindor N.M., Casey G., Platz E.A., Marchand L.L., Ulrich C.M., Li C.I., van Dujinhoven F.J.B., Gsur A., Campbell P.T., Moreno V., Vodicka P., Vodickova L., Amitay E., Alwers E., Chang-Claude J., Sakoda L.C., Slattery M.L., Schoen R.E., Gunter M.J., Castellvi-Bel S., Kim H.-R., Kweon S.-S., Chan A.T., Li L., Zheng W., Bishop D.T., Buchanan D.D., Giles G.G., Gruber S.B., Rennert G., Stadler Z.K., Harrison T.A., Lin Y., Keku T.O., Woods M.O., Schafmayer C., Van Guelpen B., Gallinger S., Hampel H., Berndt S.I., Pharoah P.D.P., Lindblom A., Wolk A., Wu A.H., White E., Peters U., Drew D.A., Scherer D., Bermejo J.L., Brenner H., Hoffmeister M., Williams A.C., and Relton C.L.
Abstract: Salicylic acid (SA) has observationally been shown to decrease colorectal cancer (CRC) risk. Aspirin (acetylsalicylic acid, that rapidly deacetylates to SA) is an effective primary and secondary chemopreventive agent. Through a Mendelian randomization (MR) approach, we aimed to address whether levels of SA affected CRC risk, stratifying by aspirin use. A two-sample MR analysis was performed using GWAS summary statistics of SA (INTERVAL and EPIC-Norfolk, N = 14,149) and CRC (CCFR, CORECT, GECCO and UK Biobank, 55,168 cases and 65,160 controls). The DACHS study (4410 cases and 3441 controls) was used for replication and stratification of aspirin use. SNPs proxying SA were selected via three methods: (1) functional SNPs that influence the activity of aspirin-metabolising enzymes; (2) pathway SNPs present in enzymes' coding regions; and (3) genome-wide significant SNPs. We found no association between functional SNPs and SA levels. The pathway and genome-wide SNPs showed no association between SA and CRC risk (OR:1.03, 95% CI: 0.84-1.27 and OR: 1.08, 95% CI:0.86-1.34, respectively). Results remained unchanged upon aspirin use stratification. We found little evidence to suggest that an SD increase in genetically predicted SA protects against CRC risk in the general population and upon stratification by aspirin use.Copyright © 2021 by the authors. Li-censee MDPI, Basel, Switzerland.
Published: 2021

41. Epigenetic drift association with cancer risk and survival, and modification by sex.

Author: Yu C., Wong E.M., Joo J.E., Hodge A.M., Makalic E., Schmidt D., Buchanan D.D., Severi G., Hopper J.L., English D.R., Giles G.G., Southey M.C., Dugue P.-A., Yu C., Wong E.M., Joo J.E., Hodge A.M., Makalic E., Schmidt D., Buchanan D.D., Severi G., Hopper J.L., English D.R., Giles G.G., Southey M.C., and Dugue P.-A.
Abstract: To investigate age-and sex-specific DNA methylation alterations related to cancer risk and survival, we used matched case-control studies of colorectal (n = 835), gastric (n = 170), kidney (n = 143), lung (n = 332), prostate (n = 869) and urothelial (n = 428) cancers, and mature B-cell lymphoma (n = 438). Linear mixed-effects models were conducted to identify age-, sex-and age-by-sex-associated methylation markers using a discovery (controls)-replication (cases) strategy. Replication was further examined using summary statistics from Generation Scotland (GS). Associations between replicated markers and risk of and survival from cancer were assessed using conditional logistic regression and Cox models (hazard ratios (HR)), respectively. We found 32,659, 23,141 and 48 CpGs with replicated associations for age, sex and age-by-sex, respectively. The replication rates for these CpGs using GS summary data were 94%, 86% and 91%, respectively. Significant associations for cancer risk and survival were identified at some individual age-related CpGs. Opposite to previous findings using epigenetic clocks, there was a strong negative trend in the association between epigenetic drift and risk of colorectal cancer. Methylation at two CpGs overlapping TMEM49 and ARX genes was associated with survival of overall (HR = 0.91, p = 7.7 x 10-4 ) and colorectal (HR = 1.52, p = 1.8 x 10-4 ) cancer, respectively, with significant age-by-sex interaction. Our results may provide markers for cancer early detection and prognosis prediction.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Published: 2021

42. Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment.

Author: Morra A., Escala-Garcia M., Beesley J., Keeman R., Canisius S., Ahearn T.U., Andrulis I.L., Anton-Culver H., Arndt V., Auer P.L., Augustinsson A., Beane Freeman L.E., Becher H., Beckmann M.W., Behrens S., Bojesen S.E., Bolla M.K., Brenner H., Bruning T., Buys S.S., Caan B., Campa D., Canzian F., Castelao J.E., Chang-Claude J., Chanock S.J., Cheng T.-Y.D., Clarke C.L., Colonna S.V., Couch F.J., Cox A., Cross S.S., Czene K., Daly M.B., Dennis J., Dork T., Dossus L., Dunning A.M., Dwek M., Eccles D.M., Ekici A.B., Eliassen A.H., Eriksson M., Evans D.G., Fasching P.A., Flyger H., Fritschi L., Gago-Dominguez M., Garcia-Saenz J.A., Giles G.G., Grip M., Guenel P., Gundert M., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Hart S.N., Hartikainen J.M., Hartmann A., He W., Hooning M.J., Hoppe R., Hopper J.L., Howell A., Hunter D.J., Jager A., Jakubowska A., Janni W., John E.M., Jung A.Y., Kaaks R., Keupers M., Kitahara C.M., Koutros S., Kraft P., Kristensen V.N., Kurian A.W., Lacey J.V., Lambrechts D., Le Marchand L., Lindblom A., Linet M., Luben R.N., Lubinski J., Lush M., Mannermaa A., Manoochehri M., Margolin S., Martens J.W.M., Martinez M.E., Mavroudis D., Michailidou K., Milne R.L., Mulligan A.M., Muranen T.A., Nevanlinna H., Newman W.G., Nielsen S.F., Nordestgaard B.G., Olshan A.F., Olsson H., Orr N., Park-Simon T.-W., Patel A.V., Peissel B., Peterlongo P., Plaseska-Karanfilska D., Prajzendanc K., Prentice R., Presneau N., Rack B., Rennert G., Rennert H.S., Rhenius V., Romero A., Roylance R., Ruebner M., Saloustros E., Sawyer E.J., Schmutzler R.K., Schneeweiss A., Scott C., Shah M., Smichkoska S., Southey M.C., Stone J., Surowy H., Swerdlow A.J., Tamimi R.M., Tapper W.J., Teras L.R., Terry M.B., Tollenaar R.A.E.M., Tomlinson I., Troester M.A., Truong T., Vachon C.M., Wang Q., Hurson A.N., Winqvist R., Wolk A., Ziogas A., Brauch H., Garcia-Closas M., Pharoah P.D.P., Easton D.F., Chenevix-Trench G., Schmidt M.K., Morra A., Escala-Garcia M., Beesley J., Keeman R., Canisius S., Ahearn T.U., Andrulis I.L., Anton-Culver H., Arndt V., Auer P.L., Augustinsson A., Beane Freeman L.E., Becher H., Beckmann M.W., Behrens S., Bojesen S.E., Bolla M.K., Brenner H., Bruning T., Buys S.S., Caan B., Campa D., Canzian F., Castelao J.E., Chang-Claude J., Chanock S.J., Cheng T.-Y.D., Clarke C.L., Colonna S.V., Couch F.J., Cox A., Cross S.S., Czene K., Daly M.B., Dennis J., Dork T., Dossus L., Dunning A.M., Dwek M., Eccles D.M., Ekici A.B., Eliassen A.H., Eriksson M., Evans D.G., Fasching P.A., Flyger H., Fritschi L., Gago-Dominguez M., Garcia-Saenz J.A., Giles G.G., Grip M., Guenel P., Gundert M., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Hart S.N., Hartikainen J.M., Hartmann A., He W., Hooning M.J., Hoppe R., Hopper J.L., Howell A., Hunter D.J., Jager A., Jakubowska A., Janni W., John E.M., Jung A.Y., Kaaks R., Keupers M., Kitahara C.M., Koutros S., Kraft P., Kristensen V.N., Kurian A.W., Lacey J.V., Lambrechts D., Le Marchand L., Lindblom A., Linet M., Luben R.N., Lubinski J., Lush M., Mannermaa A., Manoochehri M., Margolin S., Martens J.W.M., Martinez M.E., Mavroudis D., Michailidou K., Milne R.L., Mulligan A.M., Muranen T.A., Nevanlinna H., Newman W.G., Nielsen S.F., Nordestgaard B.G., Olshan A.F., Olsson H., Orr N., Park-Simon T.-W., Patel A.V., Peissel B., Peterlongo P., Plaseska-Karanfilska D., Prajzendanc K., Prentice R., Presneau N., Rack B., Rennert G., Rennert H.S., Rhenius V., Romero A., Roylance R., Ruebner M., Saloustros E., Sawyer E.J., Schmutzler R.K., Schneeweiss A., Scott C., Shah M., Smichkoska S., Southey M.C., Stone J., Surowy H., Swerdlow A.J., Tamimi R.M., Tapper W.J., Teras L.R., Terry M.B., Tollenaar R.A.E.M., Tomlinson I., Troester M.A., Truong T., Vachon C.M., Wang Q., Hurson A.N., Winqvist R., Wolk A., Ziogas A., Brauch H., Garcia-Closas M., Pharoah P.D.P., Easton D.F., Chenevix-Trench G., and Schmidt M.K.
Abstract: BACKGROUND: Given the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients. METHOD(S): We performed genome-wide association analyses within 15 subgroups of breast cancer patients based on prognostic factors, including hormone receptors, tumor grade, age, and type of systemic treatment. Analyses were based on 91,686 female patients of European ancestry from the Breast Cancer Association Consortium, including 7531 breast cancer-specific deaths over a median follow-up of 8.1years. Cox regression was used to assess associations of common germline variants with 15-year and 5-year breast cancer-specific survival. We assessed the probability of these associations being true positives via the Bayesian false discovery probability (BFDP <0.15). RESULT(S): Evidence of associations with breast cancer-specific survival was observed in three patient subgroups, with variant rs5934618 in patients with grade 3 tumors (15-year-hazard ratio (HR) [95% confidence interval (CI)] 1.32 [1.20, 1.45], P = 1.4E-08, BFDP = 0.01, per G allele); variant rs4679741 in patients with ER-positive tumors treated with endocrine therapy (15-year-HR [95% CI] 1.18 [1.11, 1.26], P = 1.6E-07, BFDP = 0.09, per G allele); variants rs1106333 (15-year-HR [95% CI] 1.68 [1.39,2.03], P = 5.6E-08, BFDP = 0.12, per A allele) and rs78754389 (5-year-HR [95% CI] 1.79 [1.46,2.20], P = 1.7E-08, BFDP = 0.07, per A allele), in patients with ER-negative tumors treated with chemotherapy. CONCLUSION(S): We found evidence of four loci associated with breast cancer-specific survival within three patient subgroups. There was limited evidence for the existence of associations in other patient subgroups. However, the power for many subgroups is limited due to the low number of events. Even so, our results suggest that the impact of common germline genetic variants on br
Published: 2021

43. Characterization of the Cancer Spectrum in Men with Germline BRCA1 and BRCA2 Pathogenic Variants: Results from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA).

Author: Joseph V., Easton D.F., Ejlertsen B., Engel C., Evans D.G., Feliubadalo L., Foretova L., Fostira F., Geczi L., Gerdes A.-M., Glendon G., Godwin A.K., Goldgar D.E., Hahnen E., Hogervorst F.B.L., Hopper J.L., Hulick P.J., Isaacs C., Izquierdo A., James P.A., Janavicius R., Jensen U.B., John E.M., Konstantopoulou I., Kurian A.W., Kwong A., Landucci E., Lesueur F., Loud J.T., Machackova E., Mai P.L., Majidzadeh-A K., Manoukian S., Montagna M., Moserle L., Mulligan A.M., Nathanson K.L., Nevanlinna H., Ngeow Yuen Ye J., Nikitina-Zake L., Offit K., Olah E., Olopade O.I., Osorio A., Papi L., Park S.K., Pedersen I.S., Perez-Segura P., Petersen A.H., Pinto P., Porfirio B., Pujana M.A., Radice P., Rantala J., Rashid M.U., Rosenzweig B., Rossing M., Santamarina M., Schmutzler R.K., Senter L., Simard J., Singer C.F., Solano A.R., Southey M.C., Steele L., Steinsnyder Z., Stoppa-Lyonnet D., Tan Y.Y., Teixeira M.R., Teo S.H., Terry M.B., Thomassen M., Toland A.E., Torres-Esquius S., Tung N., Van Asperen C.J., Vega A., Viel A., Vierstraete J., Wappenschmidt B., Weitzel J.N., Wieme G., Yoon S.-Y., Zorn K.K., Mcguffog L., Parsons M.T., Hamann U., Greene M.H., Kirk J.A., Neuhausen S.L., Rebbeck T.R., Tischkowitz M., Chenevix-Trench G., Antoniou A.C., Friedman E., Ottini L., Silvestri V., Leslie G., Barnes D.R., Agnarsson B.A., Aittomaki K., Alducci E., Andrulis I.L., Barkardottir R.B., Barroso A., Barrowdale D., Benitez J., Bonanni B., Borg A., Buys S.S., Caldes T., Caligo M.A., Capalbo C., Campbell I., Chung W.K., Claes K.B.M., Colonna S.V., Cortesi L., Couch F.J., De La Hoya M., Diez O., Ding Y.C., Domchek S., Joseph V., Easton D.F., Ejlertsen B., Engel C., Evans D.G., Feliubadalo L., Foretova L., Fostira F., Geczi L., Gerdes A.-M., Glendon G., Godwin A.K., Goldgar D.E., Hahnen E., Hogervorst F.B.L., Hopper J.L., Hulick P.J., Isaacs C., Izquierdo A., James P.A., Janavicius R., Jensen U.B., John E.M., Konstantopoulou I., Kurian A.W., Kwong A., Landucci E., Lesueur F., Loud J.T., Machackova E., Mai P.L., Majidzadeh-A K., Manoukian S., Montagna M., Moserle L., Mulligan A.M., Nathanson K.L., Nevanlinna H., Ngeow Yuen Ye J., Nikitina-Zake L., Offit K., Olah E., Olopade O.I., Osorio A., Papi L., Park S.K., Pedersen I.S., Perez-Segura P., Petersen A.H., Pinto P., Porfirio B., Pujana M.A., Radice P., Rantala J., Rashid M.U., Rosenzweig B., Rossing M., Santamarina M., Schmutzler R.K., Senter L., Simard J., Singer C.F., Solano A.R., Southey M.C., Steele L., Steinsnyder Z., Stoppa-Lyonnet D., Tan Y.Y., Teixeira M.R., Teo S.H., Terry M.B., Thomassen M., Toland A.E., Torres-Esquius S., Tung N., Van Asperen C.J., Vega A., Viel A., Vierstraete J., Wappenschmidt B., Weitzel J.N., Wieme G., Yoon S.-Y., Zorn K.K., Mcguffog L., Parsons M.T., Hamann U., Greene M.H., Kirk J.A., Neuhausen S.L., Rebbeck T.R., Tischkowitz M., Chenevix-Trench G., Antoniou A.C., Friedman E., Ottini L., Silvestri V., Leslie G., Barnes D.R., Agnarsson B.A., Aittomaki K., Alducci E., Andrulis I.L., Barkardottir R.B., Barroso A., Barrowdale D., Benitez J., Bonanni B., Borg A., Buys S.S., Caldes T., Caligo M.A., Capalbo C., Campbell I., Chung W.K., Claes K.B.M., Colonna S.V., Cortesi L., Couch F.J., De La Hoya M., Diez O., Ding Y.C., and Domchek S.
Abstract: Importance: The limited data on cancer phenotypes in men with germline BRCA1 and BRCA2 pathogenic variants (PVs) have hampered the development of evidence-based recommendations for early cancer detection and risk reduction in this population. Objective(s): To compare the cancer spectrum and frequencies between male BRCA1 and BRCA2 PV carriers. Design, Setting, and Participant(s): Retrospective cohort study of 6902 men, including 3651 BRCA1 and 3251 BRCA2 PV carriers, older than 18 years recruited from cancer genetics clinics from 1966 to 2017 by 53 study groups in 33 countries worldwide collaborating through the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Clinical data and pathologic characteristics were collected. Main Outcomes and Measures: BRCA1/2 status was the outcome in a logistic regression, and cancer diagnoses were the independent predictors. All odds ratios (ORs) were adjusted for age, country of origin, and calendar year of the first interview. Result(s): Among the 6902 men in the study (median [range] age, 51.6 [18-100] years), 1634 cancers were diagnosed in 1376 men (19.9%), the majority (922 of 1,376 [67%]) being BRCA2 PV carriers. Being affected by any cancer was associated with a higher probability of being a BRCA2, rather than a BRCA1, PV carrier (OR, 3.23; 95% CI, 2.81-3.70; P <.001), as well as developing 2 (OR, 7.97; 95% CI, 5.47-11.60; P <.001) and 3 (OR, 19.60; 95% CI, 4.64-82.89; P <.001) primary tumors. A higher frequency of breast (OR, 5.47; 95% CI, 4.06-7.37; P <.001) and prostate (OR, 1.39; 95% CI, 1.09-1.78; P =.008) cancers was associated with a higher probability of being a BRCA2 PV carrier. Among cancers other than breast and prostate, pancreatic cancer was associated with a higher probability (OR, 3.00; 95% CI, 1.55-5.81; P =.001) and colorectal cancer with a lower probability (OR, 0.47; 95% CI, 0.29-0.78; P =.003) of being a BRCA2 PV carrier. Conclusions and Relevance: Significant differences in the cancer spectrum w
Published: 2021

44. A combined proteomics and mendelian randomization approach to investigate the effects of aspirin-targeted proteins on colorectal cancer.

Author: Pharoah P.D.P., Nounu A., Greenhough A., Heesom K.J., Richmond R.C., Zheng J., Weinstein S.J., Albanes D., Gallinger S., Hampel H., Berndt S.I., Lindblom A., Wolk A., Wu A.H., White E., Peters U., Drew D.A., Scherer D., Bermejo J.L., Williams A.C., Relton C.L., Baron J.A., Hopper J.L., Figueiredo J.C., Newcomb P.A., Lindor N.M., Casey G., Platz E.A., Le Marchand L., Ulrich C.M., Li C.I., van Duijnhoven F.J.B., Gsur A., Campbell P.T., Moreno V., Vodicka P., Vodickova L., Brenner H., Chang-Claude J., Hoffmeister M., Sakoda L.C., Slattery M.L., Schoen R.E., Gunter M.J., Castellvi-Bel S., Kim H.R., Kweon S.-S., Chan A.T., Li L., Zheng W., Bishop D.T., Buchanan D.D., Giles G.G., Gruber S.B., Rennert G., Stadler Z.K., Harrison T.A., Lin Y., Keku T.O., Woods M.O., Schafmayer C., van Guelpen B., Pharoah P.D.P., Nounu A., Greenhough A., Heesom K.J., Richmond R.C., Zheng J., Weinstein S.J., Albanes D., Gallinger S., Hampel H., Berndt S.I., Lindblom A., Wolk A., Wu A.H., White E., Peters U., Drew D.A., Scherer D., Bermejo J.L., Williams A.C., Relton C.L., Baron J.A., Hopper J.L., Figueiredo J.C., Newcomb P.A., Lindor N.M., Casey G., Platz E.A., Le Marchand L., Ulrich C.M., Li C.I., van Duijnhoven F.J.B., Gsur A., Campbell P.T., Moreno V., Vodicka P., Vodickova L., Brenner H., Chang-Claude J., Hoffmeister M., Sakoda L.C., Slattery M.L., Schoen R.E., Gunter M.J., Castellvi-Bel S., Kim H.R., Kweon S.-S., Chan A.T., Li L., Zheng W., Bishop D.T., Buchanan D.D., Giles G.G., Gruber S.B., Rennert G., Stadler Z.K., Harrison T.A., Lin Y., Keku T.O., Woods M.O., Schafmayer C., and van Guelpen B.
Abstract: Background: Evidence for aspirin's chemopreventative properties on colorectal cancer (CRC) is substantial, but its mechanism of action is not well-understood. We combined a proteomic approach with Mendelian randomization (MR) to identify possible new aspirin targets that decrease CRC risk. Method(s): Human colorectal adenoma cells (RG/C2) were treated with aspirin (24 hours) and a stable isotope labeling with amino acids in cell culture (SILAC) based proteomics approach identified altered protein expression. Protein quantitative trait loci (pQTLs) from INTERVAL (N 1/4 3,301) and expression QTLs (eQTLs) from the eQTLGen Consortium (N 1/4 31,684) were used as genetic proxies for protein and mRNA expression levels. Two-sample MR of mRNA/protein expression on CRC risk was performed using eQTL/pQTL data combined with CRC genetic summary data from the Colon Cancer Family Registry (CCFR), Colorectal Transdisciplinary (CORECT), Genetics and Epidemiology of Colorectal Cancer (GECCO) consortia and UK Biobank (55,168 cases and 65,160 controls). Result(s): Altered expression was detected for 125/5886 proteins. Of these, aspirin decreased MCM6, RRM2, and ARFIP2 expression, and MR analysis showed that a standard deviation increase in mRNA/protein expression was associated with increased CRC risk (OR: 1.08, 95% CI, 1.03-1.13; OR: 3.33, 95% CI, 2.46-4.50; and OR: 1.15, 95% CI, 1.02-1.29, respectively). Conclusion(s): MCM6 and RRM2 are involved in DNA repair whereby reduced expression may lead to increased DNA aberrations and ultimately cancer cell death, whereas ARFIP2 is involved in actin cytoskeletal regulation, indicating a possible role in aspirin's reduction of metastasis. Impact: Our approach has shown how laboratory experiments and population-based approaches can combine to identify aspirin-targeted proteins possibly affecting CRC risk.Copyright ©2020 American Association for Cancer Research.
Published: 2021

45. A segregation analysis of 17,425 population-based breast cancer families: Implications ror breast cancer genetic susceptibility and risk prediction.

Author: Li S., Lee A., MacInnis R.J., Dorling L., Carvalho S., Nguyen-Dumont T., Southey M.C., Easton D.F., Hopper J.L., Antoniou A.C., Li S., Lee A., MacInnis R.J., Dorling L., Carvalho S., Nguyen-Dumont T., Southey M.C., Easton D.F., Hopper J.L., and Antoniou A.C.
Abstract: Breast cancer (BC) risk models used in family cancer clinics rely on accurate modelling of the familial relative risks; however, rare pathogenic variants (PVs) in known BC susceptibility genes, together with known common genetic variants, do not fully explain the familial aggregation of BC. We aimed to investigate plausible genetic models for the residual familial aggregation by using data on 17,425 UK and Australian families ascertained through population-based female BC probands. Eighty-six percent (86%) of probands were screened for PVs in BRCA1, BRCA2, PALB2, CHEK2, ATM, TP53 using gene-panel sequencing, and 881 probands carried PVs in these genes. We conducted complex segregation analyses and fitted genetic models in which BC incidence depended on the effects of PVs in the known susceptibility genes, other unidentified major genes and a normally distributed polygenic component. Maximum likelihood estimation was used to estimate the allele frequencies and risk associated with the PVs. PVs in the six known genes explained 21% of the familial aggregation. After allowing for these PVs, the best fitting model for the residual aggregation involved a recessively inherited allele with frequency of 13% (95%CI:0.6-21%) and penetrance of 69% (95%CI:43-91%) by age 80 for homozygous carriers, explaining 18% of the residual familial aggregation, and a polygenic component with an age-independent variance of 1.27 (95%CI:0.96-1.63). In conclusion, in addition to the known BC susceptibility genes, and polygenes, unidentified major BC susceptibility genes might exist which explain BC familial aggregation. Our findings have implications for attempts to identify new BC susceptibility genes and risk prediction.
Published: 2021

46. Ambient temperature and genome-wide DNA methylation: A twin and family study in Australia.

Author: Xu R., Li S., Wong E.M., Southey M.C., Hopper J.L., Abramson M.J., Guo Y., Xu R., Li S., Wong E.M., Southey M.C., Hopper J.L., Abramson M.J., and Guo Y.
Abstract: Little is known about the association between ambient temperature and DNA methylation, which is a potential biological process through which ambient temperature affects health. This study aimed to evaluate the association between ambient temperature and DNA methylation across human genome. We included 479 Australian women, including 132 twin pairs and 215 sisters of these twins. Blood-derived DNA methylation was measured using the HumanMethylation450 BeadChip array. Data on average ambient temperature during eight different exposure windows [lag0d (the blood draw day), lag0-7d (the current day and previous seven days prior to blood draw), lag0-14d, lag0-21d, lag0-28d, lag0-90d, lag0-180d, and lag0-365d)] was linked to each participant's home address. For each cytosine-guanine dinucleotide (CpG), we evaluated the association between its methylation level and temperature using generalized estimating equations (GEE), adjusting for important covariates. We used comb-p and DMRcate to identify differentially methylated regions (DMRs). We identified 31 CpGs at which blood DNA methylation were significantly associated with ambient temperature with false discovery rate [FDR] < 0.05. There were 82 significant DMRs identified by both comb-p (Sidak p-value < 0.01) and DMRcate (FDR < 0.01). Most of these CpGs and DMRs only showed association with temperature during one specific exposure window. These CpGs and DMRs were mapped to 85 genes. These related genes have been related to many human chronic diseases or phenotypes (e.g., diabetes, arthritis, breast cancer, depression, asthma, body height) in previous studies. The signals of short-term windows (lag0d and lag0-21d) showed enrichment in biological processes related to cell adhesion. In conclusion, short-, medium-, and long-term exposures to ambient temperature were all associated with blood DNA methylation, but the target genomic loci varied by exposure window. These differential methylation signals may serve as potential bio
Published: 2021

47. Residential surrounding greenness and DNA methylation: An epigenome-wide association study.

Author: Li S., Guo Y., Abramson M.J., Hopper J.L., Southey M.C., Wong E.M., Xu R., Li S., Guo Y., Abramson M.J., Hopper J.L., Southey M.C., Wong E.M., and Xu R.
Abstract: Background: DNA methylation is a potential biological mechanism through which residential greenness affects health, but little is known about its association with greenness and whether the association could be modified by genetic background. We aimed to evaluate the association between surrounding greenness and genome-wide DNA methylation and potential gene-greenness interaction effects on DNA methylation. Method(s): We measured blood-derived DNA methylation using the HumanMethylation450 BeadChip array (Illumina) for 479 Australian women, including 66 monozygotic, 66 dizygotic twin pairs, and 215 sisters of these twins. Surrounding greenness was represented by Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) within 300, 500, 1000 or 2000 m surrounding participants' home addresses. For each cytosine-guanine dinucleotide (CpG), the associations between its methylation level and NDVI or EVI were evaluated by generalized estimating equations, after adjusting for age, education, marital status, area-level socioeconomic status, smoking behavior, cell-type proportions, and familial clustering. We used comb-p and DMRcate to identify significant differentially methylated regions (DMRs). For each significant CpG, we evaluated the interaction effects of greenness and single-nucleotide polymorphisms (SNPs) within +/-1 Mb window on its methylation level. Result(s): We found associations between surrounding greenness and blood DNA methylation for one CpG (cg04720477, mapped to the promoter region of CNP gene) with false discovery rate [FDR] < 0.05, and for another 9 CpGs with 0.05 <= FDR < 0.10. For two of these CpGs, we found 33 SNPs significantly (FDR < 0.05) modified the greenness-methylation association. There were 35 significant DMRs related to surrounding greenness that were identified by both comb-p (Sidak p-value < 0.01) and DMRcate (FDR < 0.01). Those CpGs and DMRs were mapped to genes related to many human diseases, such as mental health
Published: 2021

48. Tetranucleotide and low microsatellite instability are inversely associated with the cpg island methylator phenotype in colorectal cancer.

Author: Meessen S., Currey N., Jahan Z., Parker H.W., Jenkins M.A., Buchanan D.D., Hopper J.L., Segelov E., Dahlstrom J.E., Kohonen-Corish M.R.J., Meessen S., Currey N., Jahan Z., Parker H.W., Jenkins M.A., Buchanan D.D., Hopper J.L., Segelov E., Dahlstrom J.E., and Kohonen-Corish M.R.J.
Abstract: MSH3 gene or protein deficiency or loss-of-function in colorectal cancer can cause a DNA mismatch repair defect known as "elevated microsatellite alterations at selected tetranucleotide repeats" (EMAST). A high percentage of MSI-H tumors exhibit EMAST, while MSI-L is also linked with EMAST. However, the distribution of CpG island methylator phenotype (CIMP) within the EMAST spectrum is not known. Five tetranucleotide repeat and five MSI markers were used to classify 100 sporadic colorectal tumours for EMAST, MSI-H and MSI-L according to the number of unstable markers detected. Promoter methylation was determined using methylation-specific PCR for MSH3, MCC, CDKN2A (p16) and five CIMP marker genes. EMAST was found in 55% of sporadic colorectal carcinomas. Carcinomas with only one positive marker (EMAST-1/5, 26%) were associated with advanced tumour stage, increased lymph node metastasis, MSI-L and lack of CIMP-H. EMAST-2/5 (16%) carcinomas displayed some methylation but MSI was rare. Carcinomas with >=3 positive EMAST markers (13%) were more likely to have a proximal colon location and be MSI-H and CIMP-H. Our study suggests that EMAST/MSI-L is a valuable prognostic and predictive marker for colorectal carcinomas that do not display the high methylation phenotype CIMP-H.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Published: 2021

49. Evaluation of the association of heterozygous germline variants in NTHL1 with breast cancer predisposition: an international multi-center study of 47,180 subjects.

Author: Li N., Zethoven M., McInerny S., Devereux L., Huang Y.-K., Thio N., Cheasley D., Gutierrez-Enriquez S., Moles-Fernandez A., Diez O., Nguyen-Dumont T., Southey M.C., Hopper J.L., Simard J., Dumont M., Soucy P., Meindl A., Schmutzler R., Schmidt M.K., Adank M.A., Andrulis I.L., Hahnen E., Engel C., Lesueur F., Girard E., Neuhausen S.L., Ziv E., Allen J., Easton D.F., Scott R.J., Gorringe K.L., James P.A., Campbell I.G., Li N., Zethoven M., McInerny S., Devereux L., Huang Y.-K., Thio N., Cheasley D., Gutierrez-Enriquez S., Moles-Fernandez A., Diez O., Nguyen-Dumont T., Southey M.C., Hopper J.L., Simard J., Dumont M., Soucy P., Meindl A., Schmutzler R., Schmidt M.K., Adank M.A., Andrulis I.L., Hahnen E., Engel C., Lesueur F., Girard E., Neuhausen S.L., Ziv E., Allen J., Easton D.F., Scott R.J., Gorringe K.L., James P.A., and Campbell I.G.
Abstract: Bi-allelic loss-of-function (LoF) variants in the base excision repair (BER) gene NTHL1 cause a high-risk hereditary multi-tumor syndrome that includes breast cancer, but the contribution of heterozygous variants to hereditary breast cancer is unknown. An analysis of 4985 women with breast cancer, enriched for familial features, and 4786 cancer-free women revealed significant enrichment for NTHL1 LoF variants. Immunohistochemistry confirmed reduced NTHL1 expression in tumors from heterozygous carriers but the NTHL1 bi-allelic loss characteristic mutational signature (SBS 30) was not present. The analysis was extended to 27,421 breast cancer cases and 19,759 controls from 10 international studies revealing 138 cases and 93 controls with a heterozygous LoF variant (OR 1.06, 95% CI: 0.82-1.39) and 316 cases and 179 controls with a missense variant (OR 1.31, 95% CI: 1.09-1.57). Missense variants selected for deleterious features by a number of in silico bioinformatic prediction tools or located within the endonuclease III functional domain showed a stronger association with breast cancer. Somatic sequencing of breast cancers from carriers indicated that the risk associated with NTHL1 appears to operate through haploinsufficiency, consistent with other described low-penetrance breast cancer genes. Data from this very large international multicenter study suggests that heterozygous pathogenic germline coding variants in NTHL1 may be associated with low- to moderate- increased risk of breast cancer.Copyright © 2021, The Author(s).
Published: 2021

50. Surrounding greenness and biological aging based on DNA methylation: A twin and family study in Australia.

Author: Xu R., Li S., Wong E.M., Southey M.C., Hopper J.L., Abramson M.J., Guo Y., Xu R., Li S., Wong E.M., Southey M.C., Hopper J.L., Abramson M.J., and Guo Y.
Abstract: BACKGROUND: High surrounding greenness has many health benefits and might contribute to slower biological aging. However, very few studies have evaluated this from the perspective of epigenetics. OBJECTIVE(S): We aimed to evaluate the association between surrounding greenness and biological aging based on DNA methylation. METHOD(S): We derived Horvath's DNA methylation age (DNAmAge), Hannum's DNAmAge, PhenoAge, and GrimAge based on DNA methylation measured in peripheral blood samples from 479 Australian women in 130 families. Measures of DNAmAge acceleration (DNAmAgeAC) were derived from the residuals after regressing each DNAmAge metric on chronological age. Greenness was represented by satellite-derived Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) metrics within 300-, 500-, 1,000-, and 2,000-m buffers surrounding par-ticipant addresses. Greenness-DNAmAgeAC associations were estimated using a within-sibship design fitted by linear mixed effect models, adjusting for familial clustering and important covariates. RESULT(S): Greenness metrics were associated with significantly lower DNAmAgeAC based on GrimAge acceleration, suggesting slower biological aging with higher greenness based on both NDVI and EVI in 300-2,000 m buffer areas. For example, each interquartile range increase in NDVI within 1,000 m was associated with a 0.59 (95% CI: 0.18, 1.01)-year decrease in GrimAge acceleration. Greenness was also inversely associated with three of the eight components of GrimAge, specifically, DNA methylation-based surrogates of serum cystatin-C, serum growth differentiation factor 15, and smoking pack years. Associations between greenness and biological aging measured by Horvath's and Hannum's DNAmAgeAC were less consistent, and depended on neighborhood socioeconomic status. No significant associations were estimated for PhenoAge acceleration. DISCUSSION: Higher surrounding greenness was associated with slower biological aging, as indicat
Published: 2021

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