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1. Spectrum and Frequency of Germline FANCM Protein-Truncating Variants in 44,803 European Female Breast Cancer Cases

Author: Figlioli, G, Billaud, A, Wang, Q, Bolla, MK, Dennis, J, Lush, M, Kvist, A, Adank, MA, Ahearn, TU, Antonenkova, NN, Auvinen, P, Behrens, S, Bermisheva, M, Bogdanova, N, Bojesen, SE, Bonanni, B, Bruening, T, Camp, NJ, Campbell, A, Castelao, JE, Cessna, MH, Czene, K, Devilee, P, Doerk, T, Eriksson, M, Fasching, PA, Flyger, H, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Glendon, G, Garcia, EG, Gonzalez-Neira, A, Grassmann, F, Guenel, P, Hahnen, E, Hamann, U, Hillemanns, P, Hooning, MJ, Hoppe, R, Howell, A, Humphreys, K, Jakubowska, A, Khusnutdinova, EK, Kristensen, VN, Lindblom, A, Loizidou, MA, Lubinski, J, Mannermaa, A, Maurer, T, Mavroudis, D, Newman, WG, Obi, N, Panayiotidis, M, Radice, P, Rashid, MU, Rhenius, V, Ruebner, M, Saloustros, E, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Shah, MT, Southey, MC, Tomlinson, I, Truong, T, van Veen, EM, Wendt, C, Yang, XR, Michailidou, K, Dunning, AM, Pharoah, PDP, Easton, DF, Andrulis, IL, Evans, DG, Hollestelle, A, Chang-Claude, J, Milne, RL, Peterlongo, P, Figlioli, G, Billaud, A, Wang, Q, Bolla, MK, Dennis, J, Lush, M, Kvist, A, Adank, MA, Ahearn, TU, Antonenkova, NN, Auvinen, P, Behrens, S, Bermisheva, M, Bogdanova, N, Bojesen, SE, Bonanni, B, Bruening, T, Camp, NJ, Campbell, A, Castelao, JE, Cessna, MH, Czene, K, Devilee, P, Doerk, T, Eriksson, M, Fasching, PA, Flyger, H, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Glendon, G, Garcia, EG, Gonzalez-Neira, A, Grassmann, F, Guenel, P, Hahnen, E, Hamann, U, Hillemanns, P, Hooning, MJ, Hoppe, R, Howell, A, Humphreys, K, Jakubowska, A, Khusnutdinova, EK, Kristensen, VN, Lindblom, A, Loizidou, MA, Lubinski, J, Mannermaa, A, Maurer, T, Mavroudis, D, Newman, WG, Obi, N, Panayiotidis, M, Radice, P, Rashid, MU, Rhenius, V, Ruebner, M, Saloustros, E, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Shah, MT, Southey, MC, Tomlinson, I, Truong, T, van Veen, EM, Wendt, C, Yang, XR, Michailidou, K, Dunning, AM, Pharoah, PDP, Easton, DF, Andrulis, IL, Evans, DG, Hollestelle, A, Chang-Claude, J, Milne, RL, and Peterlongo, P
Abstract: FANCM germline protein truncating variants (PTVs) are moderate-risk factors for ER-negative breast cancer. We previously described the spectrum of FANCM PTVs in 114 European breast cancer cases. In the present, larger cohort, we report the spectrum and frequency of four common and 62 rare FANCM PTVs found in 274 carriers detected among 44,803 breast cancer cases. We confirmed that p.Gln1701* was the most common PTV in Northern Europe with lower frequencies in Southern Europe. In contrast, p.Gly1906Alafs*12 was the most common PTV in Southern Europe with decreasing frequencies in Central and Northern Europe. We verified that p.Arg658* was prevalent in Central Europe and had highest frequencies in Eastern Europe. We also confirmed that the fourth most common PTV, p.Gln498Thrfs*7, might be a founder variant from Lithuania. Based on the frequency distribution of the carriers of rare PTVs, we showed that the FANCM PTVs spectra in Southwestern and Central Europe were much more heterogeneous than those from Northeastern Europe. These findings will inform the development of more efficient FANCM genetic testing strategies for breast cancer cases from specific European populations.
Published: 2023

2. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival.

Author: Morra, A, Schreurs, MAC, Andrulis, IL, Anton-Culver, H, Augustinsson, A, Beckmann, MW, Behrens, S, Bojesen, SE, Bolla, MK, Brauch, H, Broeks, A, Buys, SS, Camp, NJ, Castelao, JE, Cessna, MH, Chang-Claude, J, Chung, WK, Collaborators, N, Colonna, SV, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Dennis, J, Devilee, P, Dörk, T, Dunning, AM, Dwek, M, Easton, DF, Eccles, DM, Eriksson, M, Evans, DG, Fasching, PA, Fehm, TN, Figueroa, JD, Flyger, H, Gabrielson, M, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, Genkinger, J, Grassmann, F, Gündert, M, Hahnen, E, Haiman, CA, Hamann, U, Harrington, PA, Hartikainen, JM, Hoppe, R, Hopper, JL, Houlston, RS, Howell, A, Investigators, A, Investigators, K, Jakubowska, A, Janni, W, Jernström, H, John, EM, Johnson, N, Jones, ME, Kristensen, VN, Kurian, AW, Lambrechts, D, Marchand, LL, Lindblom, A, Lubiński, J, Lux, MP, Mannermaa, A, Mavroudis, D, Mulligan, AM, Muranen, TA, Nevanlinna, H, Nevelsteen, I, Neven, P, Newman, WG, Obi, N, Offit, K, Olshan, AF, Park-Simon, T-W, Patel, AV, Peterlongo, P, Phillips, K-A, Plaseska-Karanfilska, D, Polley, EC, Presneau, N, Pylkäs, K, Rack, B, Radice, P, Rashid, MU, Rhenius, V, Robson, M, Romero, A, Saloustros, E, Sawyer, EJ, Schmutzler, RK, Schuetze, S, Scott, C, Shah, M, Smichkoska, S, Southey, MC, Tapper, WJ, Teras, LR, Tollenaar, RAEM, Tomczyk, K, Tomlinson, I, Troester, MA, Vachon, CM, van Veen, EM, Wang, Q, Wendt, C, Wildiers, H, Winqvist, R, Ziogas, A, Hall, P, Pharoah, PDP, Adank, MA, Hollestelle, A, Schmidt, MK, Hooning, MJ, Morra, A, Schreurs, MAC, Andrulis, IL, Anton-Culver, H, Augustinsson, A, Beckmann, MW, Behrens, S, Bojesen, SE, Bolla, MK, Brauch, H, Broeks, A, Buys, SS, Camp, NJ, Castelao, JE, Cessna, MH, Chang-Claude, J, Chung, WK, Collaborators, N, Colonna, SV, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Dennis, J, Devilee, P, Dörk, T, Dunning, AM, Dwek, M, Easton, DF, Eccles, DM, Eriksson, M, Evans, DG, Fasching, PA, Fehm, TN, Figueroa, JD, Flyger, H, Gabrielson, M, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, Genkinger, J, Grassmann, F, Gündert, M, Hahnen, E, Haiman, CA, Hamann, U, Harrington, PA, Hartikainen, JM, Hoppe, R, Hopper, JL, Houlston, RS, Howell, A, Investigators, A, Investigators, K, Jakubowska, A, Janni, W, Jernström, H, John, EM, Johnson, N, Jones, ME, Kristensen, VN, Kurian, AW, Lambrechts, D, Marchand, LL, Lindblom, A, Lubiński, J, Lux, MP, Mannermaa, A, Mavroudis, D, Mulligan, AM, Muranen, TA, Nevanlinna, H, Nevelsteen, I, Neven, P, Newman, WG, Obi, N, Offit, K, Olshan, AF, Park-Simon, T-W, Patel, AV, Peterlongo, P, Phillips, K-A, Plaseska-Karanfilska, D, Polley, EC, Presneau, N, Pylkäs, K, Rack, B, Radice, P, Rashid, MU, Rhenius, V, Robson, M, Romero, A, Saloustros, E, Sawyer, EJ, Schmutzler, RK, Schuetze, S, Scott, C, Shah, M, Smichkoska, S, Southey, MC, Tapper, WJ, Teras, LR, Tollenaar, RAEM, Tomczyk, K, Tomlinson, I, Troester, MA, Vachon, CM, van Veen, EM, Wang, Q, Wendt, C, Wildiers, H, Winqvist, R, Ziogas, A, Hall, P, Pharoah, PDP, Adank, MA, Hollestelle, A, Schmidt, MK, and Hooning, MJ
Abstract: Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC-specific survival (BCSS) compared to non-carriers. We aimed to assess the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS. Analyses were based on 82,701 women diagnosed with invasive BC including 963 CHEK2 c.1100delC carriers; median follow-up was 9.1 years. Differential associations of treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi-state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death. There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR(95%CI): 0.66 (0.55-0.78)]. No association was observed with radiotherapy. Results from the multi-state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non-carriers also after accounting for CBC occurrence [HR(95%CI) :1.30 (1.09-1.56)]. In conclusion, systemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk. (Main MS: 3201 words).
Published: 2023

3. FANCM missense variants and breast cancer risk: a case-control association study of 75,156 European women

Author: Figlioli, G, Billaud, A, Ahearn, TU, Antonenkova, NN, Becher, H, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Blok, MJ, Bogdanova, NV, Bonanni, B, Burwinkel, B, Camp, NJ, Campbell, A, Castelao, JE, Cessna, MH, Chanock, SJ, Czene, K, Devilee, P, Doerk, T, Engel, C, Eriksson, M, Fasching, PA, Figueroa, JD, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Gonzalez-Neira, A, Grassmann, F, Guenel, P, Guendert, M, Hadjisavvas, A, Hahnen, E, Hall, P, Hamann, U, Harrington, PA, He, W, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoppe, R, Howell, A, Humphreys, K, Jager, A, Jakubowska, A, Khusnutdinova, EK, Ko, Y-D, Kristensen, VN, Lindblom, A, Lissowska, J, Lubinski, J, Mannermaa, A, Manoukian, S, Margolin, S, Mavroudis, D, Newman, WG, Obi, N, Panayiotidis, MI, Rashid, MU, Rhenius, V, Rookus, MA, Saloustros, E, Sawyer, EJ, Schmutzler, RK, Shah, M, Sironen, R, Southey, MC, Suvanto, M, Tollenaar, RAEM, Tomlinson, I, Truong, T, van der Kolk, LE, van Veen, EM, Wappenschmidt, B, Yang, XR, Bolla, MK, Dennis, J, Dunning, AM, Easton, DF, Lush, M, Michailidou, K, Pharoah, PDP, Wang, Q, Adank, MA, Schmidt, MK, Andrulis, IL, Chang-Claude, J, Nevanlinna, H, Chenevix-Trench, G, Evans, DG, Milne, RL, Radice, P, Peterlongo, P, Figlioli, G, Billaud, A, Ahearn, TU, Antonenkova, NN, Becher, H, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Blok, MJ, Bogdanova, NV, Bonanni, B, Burwinkel, B, Camp, NJ, Campbell, A, Castelao, JE, Cessna, MH, Chanock, SJ, Czene, K, Devilee, P, Doerk, T, Engel, C, Eriksson, M, Fasching, PA, Figueroa, JD, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Gonzalez-Neira, A, Grassmann, F, Guenel, P, Guendert, M, Hadjisavvas, A, Hahnen, E, Hall, P, Hamann, U, Harrington, PA, He, W, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoppe, R, Howell, A, Humphreys, K, Jager, A, Jakubowska, A, Khusnutdinova, EK, Ko, Y-D, Kristensen, VN, Lindblom, A, Lissowska, J, Lubinski, J, Mannermaa, A, Manoukian, S, Margolin, S, Mavroudis, D, Newman, WG, Obi, N, Panayiotidis, MI, Rashid, MU, Rhenius, V, Rookus, MA, Saloustros, E, Sawyer, EJ, Schmutzler, RK, Shah, M, Sironen, R, Southey, MC, Suvanto, M, Tollenaar, RAEM, Tomlinson, I, Truong, T, van der Kolk, LE, van Veen, EM, Wappenschmidt, B, Yang, XR, Bolla, MK, Dennis, J, Dunning, AM, Easton, DF, Lush, M, Michailidou, K, Pharoah, PDP, Wang, Q, Adank, MA, Schmidt, MK, Andrulis, IL, Chang-Claude, J, Nevanlinna, H, Chenevix-Trench, G, Evans, DG, Milne, RL, Radice, P, and Peterlongo, P
Abstract: Evidence from literature, including the BRIDGES study, indicates that germline protein truncating variants (PTVs) in FANCM confer moderately increased risk of ER-negative and triple-negative breast cancer (TNBC), especially for women with a family history of the disease. Association between FANCM missense variants (MVs) and breast cancer risk has been postulated. In this study, we further used the BRIDGES study to test 689 FANCM MVs for association with breast cancer risk, overall and in ER-negative and TNBC subtypes, in 39,885 cases (7566 selected for family history) and 35,271 controls of European ancestry. Sixteen common MVs were tested individually; the remaining rare 673 MVs were tested by burden analyses considering their position and pathogenicity score. We also conducted a meta-analysis of our results and those from published studies. We did not find evidence for association for any of the 16 variants individually tested. The rare MVs were significantly associated with increased risk of ER-negative breast cancer by burden analysis comparing familial cases to controls (OR = 1.48; 95% CI 1.07-2.04; P = 0.017). Higher ORs were found for the subgroup of MVs located in functional domains or predicted to be pathogenic. The meta-analysis indicated that FANCM MVs overall are associated with breast cancer risk (OR = 1.22; 95% CI 1.08-1.38; P = 0.002). Our results support the definition from previous analyses of FANCM as a moderate-risk breast cancer gene and provide evidence that FANCM MVs could be low/moderate risk factors for ER-negative and TNBC subtypes. Further genetic and functional analyses are necessary to clarify better the increased risks due to FANCM MVs.
Published: 2023

4. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author: Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Brenner, H, Brooks-Wilson, A, Bruening, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Collee, JM, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dork, T, Dwek, M, Eccles, DM, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Gago-Dominguez, M, Gapstur, SM, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Guenel, P, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Jakimovska, M, Jakubowska, A, John, EM, Jones, ME, Jung, A, Kaaks, R, Kauppila, S, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Koutros, S, Kristensen, VN, Kruger, U, Kubelka-Sabit, K, Kurian, AW, Kyriacou, K, Lambrechts, D, Lee, DG, Lindblom, A, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, McLean, C, Meindl, A, Menon, U, Nevanlinna, H, Newman, WG, Nodora, J, Offit, K, Olsson, H, Orr, N, Park-Simon, T-W, Patel, A, Peto, J, Pita, G, Plaseska-Karanfilska, D, Prentice, R, Punie, K, Pylkas, K, Radice, P, Rennert, G, Romero, A, Ruediger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Schoemaker, MJ, Schottker, B, Sherman, ME, Shu, X-O, Smichkoska, S, Southey, MC, Spinelli, JJ, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Teras, LR, Terry, MB, Torres, D, Troester, MA, Vachon, CM, van Deurzen, CHM, van Veen, EM, Wagner, P, Weinberg, CR, Wendt, C, Wesseling, J, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Couch, FJ, Simard, J, Kraft, P, Easton, DF, Pharoah, PDP, Schmidt, MK, Garcia-Closas, M, Chatterjee, N, Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Brenner, H, Brooks-Wilson, A, Bruening, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Collee, JM, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dork, T, Dwek, M, Eccles, DM, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Gago-Dominguez, M, Gapstur, SM, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Guenel, P, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Jakimovska, M, Jakubowska, A, John, EM, Jones, ME, Jung, A, Kaaks, R, Kauppila, S, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Koutros, S, Kristensen, VN, Kruger, U, Kubelka-Sabit, K, Kurian, AW, Kyriacou, K, Lambrechts, D, Lee, DG, Lindblom, A, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, McLean, C, Meindl, A, Menon, U, Nevanlinna, H, Newman, WG, Nodora, J, Offit, K, Olsson, H, Orr, N, Park-Simon, T-W, Patel, A, Peto, J, Pita, G, Plaseska-Karanfilska, D, Prentice, R, Punie, K, Pylkas, K, Radice, P, Rennert, G, Romero, A, Ruediger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Schoemaker, MJ, Schottker, B, Sherman, ME, Shu, X-O, Smichkoska, S, Southey, MC, Spinelli, JJ, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Teras, LR, Terry, MB, Torres, D, Troester, MA, Vachon, CM, van Deurzen, CHM, van Veen, EM, Wagner, P, Weinberg, CR, Wendt, C, Wesseling, J, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Couch, FJ, Simard, J, Kraft, P, Easton, DF, Pharoah, PDP, Schmidt, MK, Garcia-Closas, M, and Chatterjee, N
Abstract: BACKGROUND: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. METHODS: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. RESULTS: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. CONCLUSION: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.
Published: 2022

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

Author: Park, HA, Neumeyer, S, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Augustinsson, A, Baten, A, Beane Freeman, LE, Becher, H, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bogdanova, NV, Bojesen, SE, Brauch, H, Brenner, H, Brucker, SY, Burwinkel, B, Campa, D, Canzian, F, Castelao, JE, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Børresen-Dale, A-L, Grenaker Alnæs, GI, Sahlberg, KK, Ottestad, L, Kåresen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebråten, O, Naume, B, Fosså, A, Kiserud, CE, Reinertsen, KV, Helland, Å, Riis, M, Geisler, J, Conroy, DM, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dörk, T, dos-Santos-Silva, I, Dwek, M, Eccles, DM, Eliassen, AH, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Flyger, H, Fritschi, L, García-Closas, M, García-Sáenz, JA, Gaudet, MM, Giles, GG, Glendon, G, Goldberg, MS, Goldgar, DE, González-Neira, A, Grip, M, Guénel, P, Hahnen, E, Haiman, CA, Håkansson, N, Hall, P, Hamann, U, Han, S, Harkness, EF, Hart, SN, He, W, Heemskerk-Gerritsen, BAM, Hopper, JL, Hunter, DJ, Clarke, C, Marsh, D, Scott, R, Baxter, R, Yip, D, Carpenter, J, Davis, A, Pathmanathan, N, Simpson, P, 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, McLachlan, SA, Meiser, B, Milne, R, Nightingale, S, O’Connell, S, O’Sullivan, S, Ortega, DG, Pachter, N, Patterson, B, Pearn, A, Phillips, K, Pieper, E, Rickard, E, Robinson, B, Saleh, M, Salisbury, E, Saunders, C, Saunus, J, Scott, C, Sexton, A, Shelling, A, Southey, M, Spurdle, A, Taylor, J, Taylor, R, Thorne, H, Trainer, A, Tucker, K, Visvader, J, Walker, L, Williams, R, Winship, I, Young, MA, Jager, A, Jakubowska, A, John, EM, Jung, A, Kaaks, R, Kapoor, PM, Keeman, R, Khusnutdinova, E, Kitahara, CM, Koppert, LB, Koutros, S, Kristensen, VN, Kurian, AW, Lacey, J, Lambrechts, D, Le Marchand, L, Lo, W-Y, Lubiński, J, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, Mavroudis, D, Meindl, A, Menon, U, Milne, RL, Muranen, TA, Nevanlinna, H, Newman, WG, Nordestgaard, BG, Offit, K, Olshan, AF, Olsson, H, Park-Simon, T-W, Peterlongo, P, Peto, J, Plaseska-Karanfilska, D, Presneau, N, Radice, P, Rennert, G, Rennert, HS, Romero, A, Saloustros, E, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Schoemaker, MJ, Schwentner, L, Shah, M, Shu, X-O, Simard, J, Smeets, A, Southey, MC, Spinelli, JJ, Stevens, V, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Tomlinson, I, Troester, MA, Truong, T, Vachon, CM, van Veen, EM, Vijai, J, Wang, S, Wendt, C, Winqvist, R, Wolk, A, Ziogas, A, Dunning, AM, Pharoah, PDP, Easton, DF, Zheng, W, Kraft, P, Chang-Claude, J, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, Park, Hanla A. [0000-0001-8055-3729], Dennis, Joe [0000-0003-4591-1214], Augustinsson, Annelie [0000-0003-3415-0536], Brenner, Hermann [0000-0002-6129-1572], Canzian, Federico [0000-0002-4261-4583], Cox, Angela [0000-0002-5138-1099], Devilee, Peter [0000-0002-8023-2009], Fasching, Peter A. [0000-0003-4885-8471], Harkness, Elaine F. [0000-0001-6625-7739], Hart, Steven N. [0000-0001-7714-2734], Heemskerk-Gerritsen, Bernadette A. M. [0000-0002-9724-6693], Jakubowska, Anna [0000-0002-5650-0501], Kapoor, Pooja Middha [0000-0001-5503-8215], Kurian, Allison W. [0000-0002-6175-9470], Newman, William G. [0000-0002-6382-4678], Peterlongo, Paolo [0000-0001-6951-6855], Peto, Julian [0000-0002-1685-8912], Sawyer, Elinor J. [0000-0001-8285-4111], Scott, Christopher [0000-0003-1340-0647], Smeets, Ann [0000-0002-5091-6602], Tomlinson, Ian [0000-0003-3037-1470], Truong, Thérèse [0000-0002-2943-6786], Pharoah, Paul D. P. [0000-0001-8494-732X], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Oncology, Medicin och hälsovetenskap, Cancer Research, Genotyping Techniques, Breast Neoplasms, Case-Control Studies, Cigarette Smoking, Female, Genetic Pleiotropy, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, ALCOHOL, Medical and Health Sciences, 0302 clinical medicine, Breast cancer, Pleiotropy, Epidemiology, Medicine, TOBACCO, Breast Neoplasms/epidemiology, Cigarette Smoking/adverse effects, WOMEN, ASSOCIATION, Single Nucleotide, 3. Good health, Substance abuse, 692/699/67/1347, 030220 oncology & carcinogenesis, Life Sciences & Biomedicine, 692/499, medicine.medical_specialty, 3122 Cancers, Single-nucleotide polymorphism, Article, 03 medical and health sciences, Internal medicine, ddc:610, Polymorphism, Genetic association, Science & Technology, business.industry, Cancer, medicine.disease, 030104 developmental biology, Clinical research, Risk factors, TISSUE, INFERENCE, CIGARETTE-SMOKING, business
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. Methods 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. Results Genetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07–1.30, P = 0.11 × 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 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.
Published: 2021

6. Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk

Author: Kapoor, PM, Mavaddat, N, Choudhury, PP, Wilcox, AN, Lindstrom, S, Behrens, S, Michailidou, K, Dennis, J, Bolla, MK, Wang, Q, Jung, A, Abu-Ful, Z, Ahearn, T, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Freeman, LEB, Becher, H, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bernstein, L, Bojesen, SE, Brauch, H, Brenner, H, Bruening, T, Cai, Q, Campa, D, Canzian, F, Carracedo, A, Carter, BD, Castelao, JE, Chanock, SJ, Chatterjee, N, Chenevix-Trench, G, Clarke, CL, Couch, FJ, Cox, A, Cross, SS, Czene, K, Dai, JY, Earp, HS, Ekici, AB, Eliassen, AH, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Gao, C, Gapstur, SM, Gaudet, MM, Giles, GG, Gonzalez-Neira, A, Guenel, P, Haeberle, L, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hatse, S, Heyworth, J, Holleczek, B, Hoover, RN, Hopper, JL, Howell, A, Hunter, DJ, John, EM, Jones, ME, Kaaks, R, Keeman, R, Kitahara, CM, Ko, Y-D, Koutros, S, Kurian, AW, Lambrechts, D, Le Marchand, L, Lee, E, Lejbkowicz, F, Linet, M, Lissowska, J, Llaneza, A, MacInnis, RJ, Martinez, ME, Maurer, T, McLean, C, Neuhausen, SL, Newman, WG, Norman, A, O'Brien, KM, Olshan, AF, Olson, JE, Olsson, H, Orr, N, Perou, CM, Pita, G, Polley, EC, Prentice, RL, Rennert, G, Rennert, HS, Ruddy, KJ, Sandler, DP, Saunders, C, Schoemaker, MJ, Schoettker, B, Schumacher, F, Scott, C, Scott, RJ, Shu, X-O, Smeets, A, Southey, MC, Spinelli, JJ, Stone, J, Swerdlow, AJ, Tamimi, RM, Taylor, JA, Troester, MA, Vachon, CM, van Veen, EM, Wang, X, Weinberg, CR, Weltens, C, Willett, W, Winham, SJ, Wolk, A, Yang, XR, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, PDP, Schmidt, MK, Kraft, P, Easton, DF, Milne, RL, Garcia-Closas, M, Chang-Claude, J, Kapoor, PM, Mavaddat, N, Choudhury, PP, Wilcox, AN, Lindstrom, S, Behrens, S, Michailidou, K, Dennis, J, Bolla, MK, Wang, Q, Jung, A, Abu-Ful, Z, Ahearn, T, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Freeman, LEB, Becher, H, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bernstein, L, Bojesen, SE, Brauch, H, Brenner, H, Bruening, T, Cai, Q, Campa, D, Canzian, F, Carracedo, A, Carter, BD, Castelao, JE, Chanock, SJ, Chatterjee, N, Chenevix-Trench, G, Clarke, CL, Couch, FJ, Cox, A, Cross, SS, Czene, K, Dai, JY, Earp, HS, Ekici, AB, Eliassen, AH, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Gao, C, Gapstur, SM, Gaudet, MM, Giles, GG, Gonzalez-Neira, A, Guenel, P, Haeberle, L, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hatse, S, Heyworth, J, Holleczek, B, Hoover, RN, Hopper, JL, Howell, A, Hunter, DJ, John, EM, Jones, ME, Kaaks, R, Keeman, R, Kitahara, CM, Ko, Y-D, Koutros, S, Kurian, AW, Lambrechts, D, Le Marchand, L, Lee, E, Lejbkowicz, F, Linet, M, Lissowska, J, Llaneza, A, MacInnis, RJ, Martinez, ME, Maurer, T, McLean, C, Neuhausen, SL, Newman, WG, Norman, A, O'Brien, KM, Olshan, AF, Olson, JE, Olsson, H, Orr, N, Perou, CM, Pita, G, Polley, EC, Prentice, RL, Rennert, G, Rennert, HS, Ruddy, KJ, Sandler, DP, Saunders, C, Schoemaker, MJ, Schoettker, B, Schumacher, F, Scott, C, Scott, RJ, Shu, X-O, Smeets, A, Southey, MC, Spinelli, JJ, Stone, J, Swerdlow, AJ, Tamimi, RM, Taylor, JA, Troester, MA, Vachon, CM, van Veen, EM, Wang, X, Weinberg, CR, Weltens, C, Willett, W, Winham, SJ, Wolk, A, Yang, XR, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, PDP, Schmidt, MK, Kraft, P, Easton, DF, Milne, RL, 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.
Published: 2021

7. 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, PM, Tomczyk, K, Jones, ME, Schoemaker, MJ, Gilham, C, Bolla, MK, Wang, Q, Dennis, J, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Augustinsson, A, Baynes, C, Freeman, LEB, Beckmann, MW, Benitez, J, Bermisheva, M, Blomqvist, C, Boeckx, B, Bogdanova, NV, Bojesen, SE, Brauch, H, Brenner, H, Burwinkel, B, Campa, D, Canzian, F, Castelao, JE, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Conroy, DM, Couch, FJ, Cox, A, Cross, SS, Czene, K, Doerk, T, Eliassen, AH, Engel, C, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Flyger, H, Gago-Dominguez, M, Gapstur, SM, Garcia-Closas, M, Gaudet, MM, Giles, GG, Goldberg, MS, Gonzalez-Neira, A, Guenel, P, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Harrington, PA, Hart, SN, Hooning, MJ, Hopper, JL, Howell, A, Hunter, DJ, Jager, A, Jakubowska, A, John, EM, Kaaks, R, Keeman, R, Khusnutdinova, E, Kitahara, CM, Kosma, V-M, Koutros, S, Kraft, P, Kristensen, VN, Kurian, AW, Lambrechts, D, Le Marchand, L, Linet, M, Lubinski, J, Mannermaa, A, Manoukian, S, Margolin, S, Martens, JWM, Mavroudis, D, Mayes, R, Meindl, A, Milne, RL, Neuhausen, SL, Nevanlinna, H, Newman, WG, Nielsen, SF, Nordestgaard, BG, Obi, N, Olshan, AF, Olson, JE, Olsson, H, Orban, E, Park-Simon, T-W, Peterlongo, P, Plaseska-Karanfilska, D, Pylkas, K, Rennert, G, Rennert, HS, Ruddy, KJ, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Scott, C, Shu, X-O, Simard, J, Smichkoska, S, Sohn, C, Southey, MC, Spinelli, JJ, Stone, J, Tamimi, RM, Taylor, JA, Tollenaar, RAEM, Tomlinson, I, Troester, MA, Truong, T, Vachon, CM, van Veen, EM, Wang, SS, Weinberg, CR, Wendt, C, Wildiers, H, Winqvist, R, Wolk, A, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, PDP, Easton, DF, Howie, AF, Peto, J, dos-Santos-Silva, I, Swerdlow, AJ, Chang-Claude, J, Schmidt, MK, Orr, N, Fletcher, O, Johnson, N, Maguire, S, Morra, A, Kapoor, PM, Tomczyk, K, Jones, ME, Schoemaker, MJ, Gilham, C, Bolla, MK, Wang, Q, Dennis, J, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Augustinsson, A, Baynes, C, Freeman, LEB, Beckmann, MW, Benitez, J, Bermisheva, M, Blomqvist, C, Boeckx, B, Bogdanova, NV, Bojesen, SE, Brauch, H, Brenner, H, Burwinkel, B, Campa, D, Canzian, F, Castelao, JE, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Conroy, DM, Couch, FJ, Cox, A, Cross, SS, Czene, K, Doerk, T, Eliassen, AH, Engel, C, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Flyger, H, Gago-Dominguez, M, Gapstur, SM, Garcia-Closas, M, Gaudet, MM, Giles, GG, Goldberg, MS, Gonzalez-Neira, A, Guenel, P, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Harrington, PA, Hart, SN, Hooning, MJ, Hopper, JL, Howell, A, Hunter, DJ, Jager, A, Jakubowska, A, John, EM, Kaaks, R, Keeman, R, Khusnutdinova, E, Kitahara, CM, Kosma, V-M, Koutros, S, Kraft, P, Kristensen, VN, Kurian, AW, Lambrechts, D, Le Marchand, L, Linet, M, Lubinski, J, Mannermaa, A, Manoukian, S, Margolin, S, Martens, JWM, Mavroudis, D, Mayes, R, Meindl, A, Milne, RL, Neuhausen, SL, Nevanlinna, H, Newman, WG, Nielsen, SF, Nordestgaard, BG, Obi, N, Olshan, AF, Olson, JE, Olsson, H, Orban, E, Park-Simon, T-W, Peterlongo, P, Plaseska-Karanfilska, D, Pylkas, K, Rennert, G, Rennert, HS, Ruddy, KJ, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Scott, C, Shu, X-O, Simard, J, Smichkoska, S, Sohn, C, Southey, MC, Spinelli, JJ, Stone, J, Tamimi, RM, Taylor, JA, Tollenaar, RAEM, Tomlinson, I, Troester, MA, Truong, T, Vachon, CM, van Veen, EM, Wang, SS, Weinberg, CR, Wendt, C, Wildiers, H, Winqvist, R, Wolk, A, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, PDP, Easton, DF, Howie, AF, Peto, J, dos-Santos-Silva, I, Swerdlow, AJ, Chang-Claude, J, Schmidt, MK, 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. METHODS: 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. RESULTS: 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 × 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 × 10-8). CONCLUSIONS: 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.
Published: 2021

8. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author: Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Børresen-Dale, A-L, Brauch, H, Brenner, H, Brooks-Wilson, A, Brüning, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Sahlberg, KK, Ottestad, L, Kåresen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebråten, O, Naume, B, Fosså, A, Kiserud, CE, Reinertsen, KV, Helland, Å, Riis, M, Geisler, J, Collée, JM, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dörk, T, Dwek, M, Eccles, DM, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Gago-Dominguez, M, Gapstur, SM, García-Sáenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, González-Neira, A, Alnæs, GIG, Grip, M, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Clarke, C, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, C, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Fox, S, Campbell, I, Bowtell, D, Spurdle, A, Webb, P, de Fazio, A, Tassell, M, Kirk, J, Lindeman, G, Price, M, Southey, M, Milne, R, Deb, S, Jakimovska, M, Jakubowska, A, John, EM, Jones, ME, Jung, A, Kaaks, R, Kauppila, S, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Koutros, S, Kristensen, VN, Krüger, U, Kubelka-Sabit, K, Kurian, AW, Kyriacou, K, Lambrechts, D, Lee, DG, Lindblom, A, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, McLean, C, Meindl, A, Menon, U, Nevanlinna, H, Newman, WG, Nodora, J, Offit, K, Olsson, H, Orr, N, Park-Simon, T-W, Patel, AV, Peto, J, Pita, G, Plaseska-Karanfilska, D, Prentice, R, Punie, K, Pylkäs, K, Radice, P, Rennert, G, Romero, A, Rüdiger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Schoemaker, MJ, Schöttker, B, Sherman, ME, Shu, X-O, Smichkoska, S, Southey, MC, Spinelli, JJ, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Teras, LR, Terry, MB, Torres, D, Troester, MA, Vachon, CM, van Deurzen, CHM, van Veen, EM, Wagner, P, Weinberg, CR, Wendt, C, Wesseling, J, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Couch, FJ, Simard, J, Kraft, P, Easton, DF, Pharoah, PDP, Schmidt, MK, García-Closas, M, Chatterjee, N, Ahearn, Thomas U [0000-0003-0771-7752], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], Apollo - University of Cambridge Repository, Medicum, HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, Department of Obstetrics and Gynecology, Biosciences, HUS Gynecology and Obstetrics, Clinical Genetics, Medical Oncology, and Pathology
Subjects: False discovery rate, Oncology, Common breast cancer susceptibility variants, Receptor, ErbB-2, Estrogen receptor, PROGRESSION, Etiologic heterogeneity, Logistic regression, Basic medicine, Breast cancer, 0302 clinical medicine, PRIMARY THERAPY, HETEROGENEITY, RC254-282, HISTOLOGICAL GRADE, 0303 health sciences, Breast Neoplasms/epidemiology, Receptors, Estrogen/genetics, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, INTERNATIONAL EXPERT CONSENSUS, humanities, Receptor, ErbB-2/genetics, 3. Good health, Receptors, Estrogen, Receptors, Progesterone/genetics, 030220 oncology & carcinogenesis, Female, Biomarkers, Tumor/genetics, Receptors, Progesterone, Medical Genetics, Research Article, Risk, medicine.medical_specialty, SUSCEPTIBILITY LOCI, 3122 Cancers, Breast Neoplasms, Single-nucleotide polymorphism, Biology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, Progesterone receptor, Biomarkers, Tumor, medicine, Genetic predisposition, Humans, ddc:610, GENOME-WIDE ASSOCIATION, Genetic association, Medicinsk genetik, 030304 developmental biology, Cancer och onkologi, medicine.disease, Cancer and Oncology, Clinical medicine, Genome-Wide Association Study
Abstract: Background Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate p Conclusion This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.
Published: 2020

9. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Author: Zhang, H, Ahearn, TU, Lecarpentier, J, Barnes, D, Beesley, J, Qi, G, Jiang, X, O’Mara, TA, Zhao, N, Bolla, MK, Dunning, AM, Dennis, J, Wang, Q, Ful, ZA, Aittomäki, K, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Arun, BK, Auer, PL, Azzollini, J, Barrowdale, D, Becher, H, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bialkowska, K, Blanco, A, Blomqvist, C, Bogdanova, NV, Bojesen, SE, Bonanni, B, Bondavalli, D, Borg, A, Brauch, H, Brenner, H, Briceno, I, Broeks, A, Brucker, SY, Brüning, T, Burwinkel, B, Buys, SS, Byers, H, Caldés, T, Caligo, MA, Calvello, M, Campa, D, Castelao, JE, Chang-Claude, J, Chanock, SJ, Christiaens, M, Christiansen, H, Chung, WK, Claes, KBM, Clarke, CL, Cornelissen, S, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Diez, O, Domchek, SM, Dörk, T, Dwek, M, Eccles, DM, Ekici, AB, Evans, DG, Fasching, PA, Figueroa, J, Foretova, L, Fostira, F, Friedman, E, Frost, D, Gago-Dominguez, M, Gapstur, SM, Garber, J, García-Sáenz, JA, Gaudet, MM, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, González-Neira, A, Greene, MH, Gronwald, J, Guénel, P, Häberle, L, Hahnen, E, Haiman, CA, Hake, CR, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Hillemanns, P, Hogervorst, FBL, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huebner, H, Hulick, PJ, Imyanitov, EN, Isaacs, C, Izatt, L, Jager, A, Jakimovska, M, Jakubowska, A, James, P, Janavicius, R, Janni, W, John, EM, Jones, ME, Jung, A, Kaaks, R, Kapoor, PM, Karlan, BY, Keeman, R, Khan, S, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Konstantopoulou, I, Koppert, LB, Koutros, S, Kristensen, VN, Laenkholm, A-V, Lambrechts, D, Larsson, SC, Laurent-Puig, P, Lazaro, C, Lazarova, E, Lejbkowicz, F, Leslie, G, Lesueur, F, Lindblom, A, Lissowska, J, Lo, W-Y, Loud, JT, Lubinski, J, Lukomska, A, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, ME, Matricardi, L, McGuffog, L, McLean, C, Mebirouk, N, Meindl, A, Menon, U, Miller, A, Mingazheva, E, Montagna, M, Mulligan, AM, Mulot, C, Muranen, TA, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Nielsen, FC, Nikitina-Zake, L, Nodora, J, Offit, K, Olah, E, Olopade, OI, Olsson, H, Orr, N, Papi, L, Papp, J, Park-Simon, T-W, Parsons, MT, Peissel, B, Peixoto, A, Peshkin, B, Peterlongo, P, Peto, J, Phillips, K-A, Piedmonte, M, Plaseska-Karanfilska, D, Prajzendanc, K, Prentice, R, Prokofyeva, D, Rack, B, Radice, P, Ramus, SJ, Rantala, J, Rashid, MU, Rennert, G, Rennert, HS, Risch, HA, Romero, A, Rookus, MA, Rübner, M, Rüdiger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Scheuner, MT, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schöttker, B, Schürmann, P, Senter, L, Sharma, P, Sherman, ME, Shu, X-O, Singer, CF, Smichkoska, S, Soucy, P, Southey, MC, Spinelli, JJ, Stone, J, Stoppa-Lyonnet, D, Swerdlow, AJ, Szabo, CI, Tamimi, RM, Tapper, WJ, Taylor, JA, Teixeira, MR, Terry, M, Thomassen, M, Thull, DL, Tischkowitz, M, Toland, AE, Tollenaar, RAEM, Tomlinson, I, Torres, D, Troester, MA, Truong, T, Tung, N, Untch, M, Vachon, CM, van den Ouweland, AMW, van der Kolk, LE, van Veen, EM, vanRensburg, EJ, Vega, A, Wappenschmidt, B, Weinberg, CR, Weitzel, JN, Wildiers, H, Winqvist, R, Wolk, A, Yang, XR, Yannoukakos, D, Zheng, W, Zorn, KK, Milne, RL, Kraft, P, Simard, J, Pharoah, PDP, Michailidou, K, Antoniou, AC, Schmidt, MK, Chenevix-Trench, G, Easton, DF, Chatterjee, N, and García-Closas, M
Abstract: Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1,2,3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P
Published: 2020

10. Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium

Author: Kapoor, PM, Lindström, S, Behrens, S, Wang, X, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Dunning, AM, Pharoah, PDP, Schmidt, MK, Kraft, P, García-Closas, M, Easton, DF, Milne, RL, Chang-Claude, J, Ahearn, T, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Freeman, LEB, Beckmann, MW, Benitez, J, Bernstein, L, Berrandou, T, Bojesen, SE, Brauch, H, Brenner, H, Brock, IW, Broeks, A, Brooks-Wilson, A, Butterbach, K, Cai, Q, Campa, D, Canzian, F, Carter, BD, Castelao, JE, Chanock, SJ, Chenevix-Trench, G, Cheng, T-YD, Clarke, CL, Cordina-Duverger, E, Couch, FJ, Cox, A, Cross, SS, Czene, K, Dai, JY, Dite, GS, Earp, HS, Eliassen, AH, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Gapstur, SM, Gaudet, MM, Giles, GG, González-Neira, A, Grundy, A, Guénel, P, Haeberle, L, Haiman, CA, Håkansson, N, Hall, P, Hamann, U, Hankinson, SE, Harkness, EF, Harstad, T, He, W, Heyworth, J, Hoover, RN, Hopper, JL, Humphreys, K, Hunter, DJ, Marrón, PI, John, EM, Jones, ME, Jung, A, Kaaks, R, Keeman, R, Kitahara, CM, Ko, Y-D, Koutros, S, Krüger, U, Lambrechts, D, Marchand, LL, Lee, E, Lejbkowicz, F, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, Makalic, E, Martinez, ME, Maurer, T, Muñoz-Garzon, VM, Neuhausen, SL, Neven, P, Newman, WG, Nielsen, SF, Nordestgaard, BG, Norman, A, O'Brien, KM, Olshan, AF, Olson, JE, Olsson, H, Orr, N, Perou, CM, Pinchev, M, Prentice, R, Rennert, G, Rennert, HS, Ruddy, KJ, Sandler, DP, Schneider, MO, Schoemaker, MJ, Schöttker, B, Scott, RJ, Scott, C, Sherman, ME, Shrubsole, MJ, Shu, X-O, Southey, MC, Spinelli, JJ, Stone, J, Swerdlow, AJ, Tamimi, RM, Taylor, JA, Thöne, K, Troester, MA, Truong, T, Vachon, CM, van Ongeval, C, van Veen, EM, Wagner, P, Weinberg, CR, Wildiers, H, Willett, W, Winham, SJ, Wolk, A, Yang, XR, Zheng, W, and Ziogas, A
Subjects: 0301 basic medicine, Oncology, medicine.medical_specialty, Genotype, Genome-wide association study, Single-nucleotide polymorphism, Breast Neoplasms, Polymorphism, Single Nucleotide, White People, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, breast cancer, Risk Factors, single nucleotide polymorphism, Internal medicine, medicine, SNP, Humans, risk factors, Genetic Predisposition to Disease, Breast, Alleles, Cancer och onkologi, Factor XIII, Europeans, business.industry, Gene-environment interaction, epidemiology, Case-control study, Cancer, General Medicine, Odds ratio, medicine.disease, Europe, Genetics and Environment, 030104 developmental biology, Receptors, Estrogen, 030220 oncology & carcinogenesis, Case-Control Studies, Cancer and Oncology, Female, Gene-Environment Interaction, business, Genome-Wide Association Study
Abstract: Background Previous gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Using the largest available dataset to date, we performed a comprehensive assessment of potential effect modification of 205 common susceptibility variants by 13 established breast cancer risk factors, including replication of previously reported interactions. Methods Analyses were performed using 28 176 cases and 32 209 controls genotyped with iCOGS array and 44 109 cases and 48 145 controls genotyped using OncoArray from the Breast Cancer Association Consortium (BCAC). Gene-environment interactions were assessed using unconditional logistic regression and likelihood ratio tests for breast cancer risk overall and by estrogen-receptor (ER) status. Bayesian false discovery probability was used to assess the noteworthiness of the meta-analysed array-specific interactions. Results Noteworthy evidence of interaction at ≤1% prior probability was observed for three single nucleotide polymorphism (SNP)-risk factor pairs. SNP rs4442975 was associated with a greater reduction of risk of ER-positive breast cancer [odds ratio (OR)int = 0.85 (0.78-0.93), Pint = 2.8 x 10–4] and overall breast cancer [ORint = 0.85 (0.78-0.92), Pint = 7.4 x 10–5) in current users of estrogen-progesterone therapy compared with non-users. This finding was supported by replication using OncoArray data of the previously reported interaction between rs13387042 (r2 = 0.93 with rs4442975) and current estrogen-progesterone therapy for overall disease (Pint = 0.004). The two other interactions suggested stronger associations between SNP rs6596100 and ER-negative breast cancer with increasing parity and younger age at first birth. Conclusions Overall, our study does not suggest strong effect modification of common breast cancer susceptibility variants by established risk factors.
Published: 2020

11. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Author: Zhan, H, Ahearn, TU, Lecarpentier, J, Barnes, D, Beesley, J, Qi, G, Jiang, X, O'Mara, TA, Zhao, N, Bolla, MK, Dunning, AM, Dennis, J, Wang, Q, Abu Ful, Z, Aittomaki, K, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Arun, BK, Auer, PL, Azzollini, J, Barrowdale, D, Becher, H, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bialkowska, K, Blanco, A, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Bondavalli, D, Borg, A, Brauch, H, Brenner, H, Briceno, I, Broeks, A, Brucker, SY, Bruening, T, Burwinkel, B, Buys, SS, Byers, H, Caldes, T, Caligo, MA, Calvello, M, Campa, D, Castelao, JE, Chang-Claude, J, Chanock, SJ, Christiaens, M, Christiansen, H, Chung, WK, Claes, KBM, Clarke, CL, Cornelissen, S, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Diez, O, Domchek, SM, Doerk, T, Dwek, M, Eccles, DM, Ekici, AB, Evans, DG, Fasching, PA, Figueroa, J, Foretova, L, Fostira, F, Friedman, E, Frost, D, Gago-Dominguez, M, Gapstur, SM, Garber, J, Garcia-Saenz, JA, Gaudet, MM, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Gonzalez-Neira, A, Greene, MH, Gronwald, J, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hake, CR, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Hillemanns, P, Hogervorst, FBL, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huebner, H, Hulick, PJ, Imyanitov, EN, Isaacs, C, Izatt, L, Jager, A, Jakimovska, M, Jakubowska, A, James, P, Janavicius, R, Janni, W, John, EM, Jones, ME, Jung, A, Kaaks, R, Kapoor, PM, Karlan, BY, Keeman, R, Khan, S, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Konstantopoulou, I, Koppert, LB, Koutros, S, Kristensen, VN, Laenkholm, A-V, Lambrechts, D, Larsson, SC, Laurent-Puig, P, Lazaro, C, Lazarova, E, Lejbkowicz, F, Leslie, G, Lesueur, F, Lindblom, A, Lissowska, J, Lo, W-Y, Loud, JT, Lubinski, J, Lukomska, A, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, ME, Matricardi, L, McGuffog, L, McLean, C, Mebirouk, N, Meindl, A, Menon, U, Miller, A, Mingazheva, E, Montagna, M, Mulligan, AM, Mulot, C, Muranen, TA, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Nielsens, FC, Nikitina-Zake, L, Nodora, J, Offit, K, Olah, E, Olopade, O, Olsson, H, Orr, N, Papi, L, Papp, J, Park-Simon, T-W, Parsons, MT, Peissel, B, Peixoto, A, Peshkin, B, Peterlongo, P, Peto, J, Phillips, K-A, Piedmonte, M, Plaseska-Karanfilska, D, Prajzendanc, K, Prentice, R, Prokofyeva, D, Rack, B, Radice, P, Ramus, SJ, Rantala, J, Rashid, MU, Rennert, G, Rennert, HS, Risch, HA, Romero, A, Rookus, MA, Ruebner, M, Ruediger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Scheuner, MT, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schoettker, B, Schuermann, P, Senter, L, Sharma, P, Sherman, ME, Shu, X-O, Singer, CF, Smichkoska, S, Soucy, P, Southey, MC, Spinelli, JJ, Stone, J, Stoppa-Lyonnet, D, Swerdlow, AJ, Szabo, C, Tamimi, RM, Tapper, WJ, Taylor, JA, Teixeira, MR, Terry, M, Thomassen, M, Thull, DL, Tischkowitz, M, Toland, AE, Tollenaar, RAEM, Tomlinson, I, Torres, D, Troester, MA, Truong, T, Tung, N, Untch, M, Vachon, CM, van den Ouweland, AMW, van der Kolk, LE, van Veen, EM, vanRensburg, EJ, Vega, A, Wappenschmidt, B, Weinberg, CR, Weitzel, JN, Wildiers, H, Winqvist, R, Wolk, A, Yang, XR, Yannoukakos, D, Zheng, W, Zorn, KK, Milne, RL, Kraft, P, Simard, J, Pharoah, PDP, Michailidou, K, Antoniou, AC, Schmidt, MK, Chenevix-Trench, G, Easton, DF, Chatterjee, N, Garcia-Closas, M, Zhan, H, Ahearn, TU, Lecarpentier, J, Barnes, D, Beesley, J, Qi, G, Jiang, X, O'Mara, TA, Zhao, N, Bolla, MK, Dunning, AM, Dennis, J, Wang, Q, Abu Ful, Z, Aittomaki, K, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Arun, BK, Auer, PL, Azzollini, J, Barrowdale, D, Becher, H, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bialkowska, K, Blanco, A, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Bondavalli, D, Borg, A, Brauch, H, Brenner, H, Briceno, I, Broeks, A, Brucker, SY, Bruening, T, Burwinkel, B, Buys, SS, Byers, H, Caldes, T, Caligo, MA, Calvello, M, Campa, D, Castelao, JE, Chang-Claude, J, Chanock, SJ, Christiaens, M, Christiansen, H, Chung, WK, Claes, KBM, Clarke, CL, Cornelissen, S, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Diez, O, Domchek, SM, Doerk, T, Dwek, M, Eccles, DM, Ekici, AB, Evans, DG, Fasching, PA, Figueroa, J, Foretova, L, Fostira, F, Friedman, E, Frost, D, Gago-Dominguez, M, Gapstur, SM, Garber, J, Garcia-Saenz, JA, Gaudet, MM, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Gonzalez-Neira, A, Greene, MH, Gronwald, J, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hake, CR, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Hillemanns, P, Hogervorst, FBL, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huebner, H, Hulick, PJ, Imyanitov, EN, Isaacs, C, Izatt, L, Jager, A, Jakimovska, M, Jakubowska, A, James, P, Janavicius, R, Janni, W, John, EM, Jones, ME, Jung, A, Kaaks, R, Kapoor, PM, Karlan, BY, Keeman, R, Khan, S, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Konstantopoulou, I, Koppert, LB, Koutros, S, Kristensen, VN, Laenkholm, A-V, Lambrechts, D, Larsson, SC, Laurent-Puig, P, Lazaro, C, Lazarova, E, Lejbkowicz, F, Leslie, G, Lesueur, F, Lindblom, A, Lissowska, J, Lo, W-Y, Loud, JT, Lubinski, J, Lukomska, A, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, ME, Matricardi, L, McGuffog, L, McLean, C, Mebirouk, N, Meindl, A, Menon, U, Miller, A, Mingazheva, E, Montagna, M, Mulligan, AM, Mulot, C, Muranen, TA, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Nielsens, FC, Nikitina-Zake, L, Nodora, J, Offit, K, Olah, E, Olopade, O, Olsson, H, Orr, N, Papi, L, Papp, J, Park-Simon, T-W, Parsons, MT, Peissel, B, Peixoto, A, Peshkin, B, Peterlongo, P, Peto, J, Phillips, K-A, Piedmonte, M, Plaseska-Karanfilska, D, Prajzendanc, K, Prentice, R, Prokofyeva, D, Rack, B, Radice, P, Ramus, SJ, Rantala, J, Rashid, MU, Rennert, G, Rennert, HS, Risch, HA, Romero, A, Rookus, MA, Ruebner, M, Ruediger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Scheuner, MT, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schoettker, B, Schuermann, P, Senter, L, Sharma, P, Sherman, ME, Shu, X-O, Singer, CF, Smichkoska, S, Soucy, P, Southey, MC, Spinelli, JJ, Stone, J, Stoppa-Lyonnet, D, Swerdlow, AJ, Szabo, C, Tamimi, RM, Tapper, WJ, Taylor, JA, Teixeira, MR, Terry, M, Thomassen, M, Thull, DL, Tischkowitz, M, Toland, AE, Tollenaar, RAEM, Tomlinson, I, Torres, D, Troester, MA, Truong, T, Tung, N, Untch, M, Vachon, CM, van den Ouweland, AMW, van der Kolk, LE, van Veen, EM, vanRensburg, EJ, Vega, A, Wappenschmidt, B, Weinberg, CR, Weitzel, JN, Wildiers, H, Winqvist, R, Wolk, A, Yang, XR, Yannoukakos, D, Zheng, W, Zorn, KK, Milne, RL, Kraft, P, Simard, J, Pharoah, PDP, Michailidou, K, Antoniou, AC, Schmidt, MK, Chenevix-Trench, G, Easton, DF, Chatterjee, N, and Garcia-Closas, M
Abstract: Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 × 10-8), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate < 0.05). Five loci showed associations (P < 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.
Published: 2020

12. Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk.

Author: Kramer I, Hooning MJ, Mavaddat N, Hauptmann M, Keeman R, Steyerberg EW, Giardiello D, Antoniou AC, Pharoah PDP, Canisius S, Abu-Ful Z, Andrulis IL, Anton-Culver H, Aronson KJ, Augustinsson A, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Brauch H, Bremer M, Brucker SY, Burwinkel B, Castelao JE, Chan TL, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Choi J-Y, Clarke CL, NBCS Collaborators, Collée JM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Evans DG, Fasching PA, Flyger H, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Giles GG, Goldgar DE, González-Neira A, Haiman CA, Håkansson N, Hamann U, Hartman M, Heemskerk-Gerritsen BAM, Hollestelle A, Hopper JL, Hou M-F, Howell A, ABCTB Investigators, kConFab Investigators, Ito H, Jakimovska M, Jakubowska A, Janni W, John EM, Jung A, Kang D, Kets CM, Khusnutdinova E, Ko Y-D, Kristensen VN, Kurian AW, Kwong A, Lambrechts D, Le Marchand L, Li J, Lindblom A, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Matsuo K, Mavroudis D, Meindl A, Milne RL, Mulligan AM, Muranen TA, Neuhausen SL, Nevanlinna H, Newman WG, Olshan AF, Olson JE, Olsson H, Park-Simon T-W, Peto J, Petridis C, Plaseska-Karanfilska D, Presneau N, Pylkäs K, Radice P, Rennert G, Romero A, Roylance R, Saloustros E, Sawyer EJ, Schmutzler RK, Schwentner L, Scott C, See M-H, Shah M, Shen C-Y, Shu X-O, Siesling S, Slager S, Sohn C, Southey MC, Spinelli JJ, Stone J, Tapper WJ, Tengström M, Teo SH, Terry MB, Tollenaar RAEM, Tomlinson I, Troester MA, Vachon CM, van Ongeval C, van Veen EM, Winqvist R, Wolk A, Zheng W, Ziogas A, Easton DF, Hall P, Schmidt MK, Kramer I, Hooning MJ, Mavaddat N, Hauptmann M, Keeman R, Steyerberg EW, Giardiello D, Antoniou AC, Pharoah PDP, Canisius S, Abu-Ful Z, Andrulis IL, Anton-Culver H, Aronson KJ, Augustinsson A, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Brauch H, Bremer M, Brucker SY, Burwinkel B, Castelao JE, Chan TL, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Choi J-Y, Clarke CL, NBCS Collaborators, Collée JM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Evans DG, Fasching PA, Flyger H, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Giles GG, Goldgar DE, González-Neira A, Haiman CA, Håkansson N, Hamann U, Hartman M, Heemskerk-Gerritsen BAM, Hollestelle A, Hopper JL, Hou M-F, Howell A, ABCTB Investigators, kConFab Investigators, Ito H, Jakimovska M, Jakubowska A, Janni W, John EM, Jung A, Kang D, Kets CM, Khusnutdinova E, Ko Y-D, Kristensen VN, Kurian AW, Kwong A, Lambrechts D, Le Marchand L, Li J, Lindblom A, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Matsuo K, Mavroudis D, Meindl A, Milne RL, Mulligan AM, Muranen TA, Neuhausen SL, Nevanlinna H, Newman WG, Olshan AF, Olson JE, Olsson H, Park-Simon T-W, Peto J, Petridis C, Plaseska-Karanfilska D, Presneau N, Pylkäs K, Radice P, Rennert G, Romero A, Roylance R, Saloustros E, Sawyer EJ, Schmutzler RK, Schwentner L, Scott C, See M-H, Shah M, Shen C-Y, Shu X-O, Siesling S, Slager S, Sohn C, Southey MC, Spinelli JJ, Stone J, Tapper WJ, Tengström M, Teo SH, Terry MB, Tollenaar RAEM, Tomlinson I, Troester MA, Vachon CM, van Ongeval C, van Veen EM, Winqvist R, Wolk A, Zheng W, Ziogas A, Easton DF, Hall P, and Schmidt MK
Abstract: Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 germline variants (PRS313) and contralateral breast cancer (CBC) risk. We included 56,068 women of European ancestry diagnosed with first invasive breast cancer from 1990 onward with follow-up from the Breast Cancer Association Consortium. Metachronous CBC risk (N = 1,027) according to the distribution of PRS313 was quantified using Cox regression analyses. We assessed PRS313 interaction with age at first diagnosis, family history, morphology, ER status, PR status, and HER2 status, and (neo)adjuvant therapy. In studies of Asian women, with limited follow-up, CBC risk associated with PRS313 was assessed using logistic regression for 340 women with CBC compared with 12,133 women with unilateral breast cancer. Higher PRS313 was associated with increased CBC risk: hazard ratio per standard deviation (SD) = 1.25 (95%CI = 1.18-1.33) for Europeans, and an OR per SD = 1.15 (95%CI = 1.02-1.29) for Asians. The absolute lifetime risks of CBC, accounting for death as competing risk, were 12.4% for European women at the 10th percentile and 20.5% at the 90th percentile of PRS313. We found no evidence of confounding by or interaction with individual characteristics, characteristics of the primary tumor, or treatment. The C-index for the PRS313 alone was 0.563 (95%CI = 0.547-0.586). In conclusion, PRS313 is an independent factor associated with CBC risk and can be incorporated into CBC risk prediction models to help improve stratification and optimize surveillance and treatment strategies.
Published: 2020

13. The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer

Author: Figlioli, G, Bogliolo, M, Catucci, I, Caleca, L, Viz Lasheras, S, Pujol, R, Kiiski, J, Muranen, TA, Barnes, DR, Dennis, J, Michailidou, K, Bolla, MK, Leslie, G, Aalfs, CM, Adank, MA, Adlard, J, Agata, S, Cadoo, K, Agnarsson, BA, Ahearn, T, Aittomaki, K, Ambrosone, CB, Andrews, L, Anton-Culver, H, Antonenkova, NN, Arndt, V, Arnold, N, Aronson, KJ, Arun, BK, Asseryanis, E, Auber, B, Auvinen, P, Azzollini, J, Balmana, J, Barkardottir, RB, Barrowdale, D, Barwell, J, Freeman, LEB, Beauparlant, CJ, Beckmann, MW, Behrens, S, Benitez, J, Berger, R, Bermisheva, M, Blanco, AM, Blomqvist, C, Bogdanova, N, Bojesen, A, Bojesen, SE, Bonanni, B, Borg, A, Brady, AF, Brauch, H, Brenner, H, Bruening, T, Burwinkel, B, Buys, SS, Caldes, T, Caliebe, A, Caligo, MA, Campa, D, Campbell, IG, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Claes, KBM, Clarke, CL, Collavoli, A, Conner, TA, Cox, DG, Cybulski, C, Czene, K, Daly, MB, de la Hoya, M, Devilee, P, Diez, O, Ding, YC, Dite, GS, Ditsch, N, Domchek, SM, Dorfling, CM, dos-Santos-Silva, I, Durda, K, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Ellberg, C, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Flyger, H, Foulkes, WD, Friebel, TM, Friedman, E, Gabrielson, M, Gaddam, P, Gago-Dominguez, M, Gao, C, Gapstur, SM, Garber, J, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, Gayther, SA, Giles, GG, Glendon, G, Godwin, AK, Goldberg, MS, Goldgar, DE, Guenel, P, Gutierrez-Barrera, AM, Haeberle, L, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Harrington, PA, Hein, A, Heyworth, J, Hillemanns, P, Hollestelle, A, Hopper, JL, Hosgood, HD, Howell, A, Hu, C, Hulick, PJ, Hunter, DJ, Imyanitov, EN, Isaacs, C, Jakimovska, M, Jakubowska, A, James, P, Janavicius, R, Janni, W, John, EM, Jones, ME, Jung, A, Kaaks, R, Karlan, BY, Khusnutdinova, E, Kitahara, CM, Konstantopoulou, I, Koutros, S, Kraft, P, Lambrechts, D, Lazaro, C, Le Marchand, L, Lester, J, Lesueur, F, Lilyquist, J, Loud, JT, Lu, KH, Luben, RN, Lubinski, J, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martens, JWM, Maurer, T, Mavroudis, D, Mebirouk, N, Meindl, A, Menon, U, Miller, A, Montagna, M, Nathanson, KL, Neuhausen, SL, Newman, WG, Nguyen-Dumont, T, Nielsen, FC, Nielsen, S, Nikitina-Zake, L, Offit, K, Olah, E, Olopade, O, Olshan, AF, Olson, JE, Olsson, H, Osorio, A, Ottini, L, Peissel, B, Peixoto, A, Peto, J, Plaseska-Karanfilska, D, Pocza, T, Presneau, N, Angel Pujana, M, Punie, K, Rack, B, Rantala, J, Rashid, MU, Rau-Murthy, R, Rennert, G, Lejbkowicz, F, Rhenius, V, Romero, A, Rookus, MA, Ross, EA, Rossing, M, Rudaitis, V, Ruebner, M, Saloustros, E, Sanden, K, Santamarina, M, Scheuner, MT, Schmutzler, RK, Schneider, M, Scott, C, Senter, L, Shah, M, Sharma, P, Shu, X-O, Simard, J, Singer, CF, Sohn, C, Soucy, P, Southey, MC, Spinelli, JJ, Steele, L, Stoppa-Lyonnet, D, Tapper, WJ, Teixeira, MR, Terry, MB, Thomassen, M, Thompson, J, Thull, DL, Tischkowitz, M, Tollenaar, RAEM, Torres, D, Troester, MA, Truong, T, Tung, N, Untch, M, Vachon, CM, van Rensburg, EJ, van Veen, EM, Vega, A, Viel, A, Wappenschmidt, B, Weitzel, JN, Wendt, C, Wieme, G, Wolk, A, Yang, XR, Zheng, W, Ziogas, A, Zorn, KK, Dunning, AM, Lush, M, Wang, Q, McGuffog, L, Parsons, MT, Pharoah, PDP, Fostira, F, Toland, AE, Andrulis, IL, Ramus, SJ, Swerdlow, AJ, Greene, MH, Chung, WK, Milne, RL, Chenevix-Trench, G, Doerk, T, Schmidt, MK, Easton, DF, Radice, P, Hahnen, E, Antoniou, AC, Couch, FJ, Nevanlinna, H, Surralles, J, Peterlongo, P, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, CS, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Belotti, M, Bertrand, O, Birot, A-M, Buecher, B, Caputo, S, Dupre, A, Fourme, E, Gauthier-Villars, M, Golmard, L, Le Mentec, M, Moncoutier, V, de Pauw, A, Saule, C, Boutry-Kryza, N, Calender, A, Giraud, S, Leone, M, Bressac-de-Paillerets, B, Caron, O, Guillaud-Bataille, M, Bignon, Y-J, Uhrhammer, N, Bonadona, V, Lasset, C, Berthet, P, Castera, L, Vaur, D, Bourdon, V, Nogues, C, Noguchi, T, Popovici, C, Remenieras, A, Sobol, H, Coupier, I, Pujol, P, Adenis, C, Dumont, A, Revillion, F, Muller, D, Barouk-Simonet, E, Bonnet, F, Bubien, V, Longy, M, Sevenet, N, Gladieff, L, Guimbaud, R, Feillel, V, Toulas, C, Dreyfus, H, Leroux, CD, Peysselon, M, Rebischung, C, Legrand, C, Baurand, A, Bertolone, G, Coron, F, Faivre, L, Jacquot, C, Lizard, S, Kientz, C, Lebrun, M, Prieur, F, Fert-Ferrer, S, Mari, V, Venat-Bouvet, L, Bezieau, S, Delnatte, C, Mortemousque, I, Colas, C, Coulet, F, Soubrier, F, Warcoin, M, Bronner, M, Sokolowska, J, Collonge-Rame, M-A, Damette, A, Gesta, P, Lallaoui, H, Chiesa, J, Molina-Gomes, D, Ingster, O, Manouvrier-Hanu, S, Lejeune, S, Aghmesheh, M, Greening, S, Amor, D, Gattas, M, Botes, L, Buckley, M, Friedlander, M, Koehler, J, Meiser, B, Saleh, M, Salisbury, E, Trainer, A, Tucker, K, Antill, Y, Dobrovic, A, Fellows, A, Fox, S, Harris, M, Nightingale, S, Phillips, K, Sambrook, J, Thorne, H, Armitage, S, Arnold, L, Kefford, R, Kirk, J, Rickard, E, Bastick, P, Beesley, J, Hayward, N, Spurdle, A, Walker, L, Beilby, J, Saunders, C, Bennett, I, Blackburn, A, Bogwitz, M, Gaff, C, Lindeman, G, Pachter, N, Sexton, A, Visvader, J, Taylor, J, Winship, I, Brennan, M, Brown, M, French, J, Edwards, S, Burgess, M, Burke, J, Patterson, B, Butow, P, Culling, B, Caldon, L, Callen, D, Chauhan, D, Eisenbruch, M, Heiniger, L, Chauhan, M, Christian, A, Dixon, J, Kidd, A, Cohen, P, Colley, A, Fenton, G, Crook, A, Dickson, R, Field, M, Cui, J, Cummings, M, Dawson, S-J, DeFazio, A, Delatycki, M, Dudding, T, Edkins, T, Farshid, G, Flanagan, J, Fong, P, Forrest, L, Gallego-Ortega, D, George, P, Gill, G, Kollias, J, Haan, E, Hart, S, Jenkins, M, Hunt, C, Lakhani, S, Lipton, L, Lobb, L, Mann, G, McLachlan, SA, O'Connell, S, O'Sullivan, S, Pieper, E, Robinson, B, Saunus, J, Scott, E, Shelling, A, Williams, R, Young, MA, Figlioli, G, Bogliolo, M, Catucci, I, Caleca, L, Viz Lasheras, S, Pujol, R, Kiiski, J, Muranen, TA, Barnes, DR, Dennis, J, Michailidou, K, Bolla, MK, Leslie, G, Aalfs, CM, Adank, MA, Adlard, J, Agata, S, Cadoo, K, Agnarsson, BA, Ahearn, T, Aittomaki, K, Ambrosone, CB, Andrews, L, Anton-Culver, H, Antonenkova, NN, Arndt, V, Arnold, N, Aronson, KJ, Arun, BK, Asseryanis, E, Auber, B, Auvinen, P, Azzollini, J, Balmana, J, Barkardottir, RB, Barrowdale, D, Barwell, J, Freeman, LEB, Beauparlant, CJ, Beckmann, MW, Behrens, S, Benitez, J, Berger, R, Bermisheva, M, Blanco, AM, Blomqvist, C, Bogdanova, N, Bojesen, A, Bojesen, SE, Bonanni, B, Borg, A, Brady, AF, Brauch, H, Brenner, H, Bruening, T, Burwinkel, B, Buys, SS, Caldes, T, Caliebe, A, Caligo, MA, Campa, D, Campbell, IG, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Claes, KBM, Clarke, CL, Collavoli, A, Conner, TA, Cox, DG, Cybulski, C, Czene, K, Daly, MB, de la Hoya, M, Devilee, P, Diez, O, Ding, YC, Dite, GS, Ditsch, N, Domchek, SM, Dorfling, CM, dos-Santos-Silva, I, Durda, K, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Ellberg, C, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Flyger, H, Foulkes, WD, Friebel, TM, Friedman, E, Gabrielson, M, Gaddam, P, Gago-Dominguez, M, Gao, C, Gapstur, SM, Garber, J, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, Gayther, SA, Giles, GG, Glendon, G, Godwin, AK, Goldberg, MS, Goldgar, DE, Guenel, P, Gutierrez-Barrera, AM, Haeberle, L, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Harrington, PA, Hein, A, Heyworth, J, Hillemanns, P, Hollestelle, A, Hopper, JL, Hosgood, HD, Howell, A, Hu, C, Hulick, PJ, Hunter, DJ, Imyanitov, EN, Isaacs, C, Jakimovska, M, Jakubowska, A, James, P, Janavicius, R, Janni, W, John, EM, Jones, ME, Jung, A, Kaaks, R, Karlan, BY, Khusnutdinova, E, Kitahara, CM, Konstantopoulou, I, Koutros, S, Kraft, P, Lambrechts, D, Lazaro, C, Le Marchand, L, Lester, J, Lesueur, F, Lilyquist, J, Loud, JT, Lu, KH, Luben, RN, Lubinski, J, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martens, JWM, Maurer, T, Mavroudis, D, Mebirouk, N, Meindl, A, Menon, U, Miller, A, Montagna, M, Nathanson, KL, Neuhausen, SL, Newman, WG, Nguyen-Dumont, T, Nielsen, FC, Nielsen, S, Nikitina-Zake, L, Offit, K, Olah, E, Olopade, O, Olshan, AF, Olson, JE, Olsson, H, Osorio, A, Ottini, L, Peissel, B, Peixoto, A, Peto, J, Plaseska-Karanfilska, D, Pocza, T, Presneau, N, Angel Pujana, M, Punie, K, Rack, B, Rantala, J, Rashid, MU, Rau-Murthy, R, Rennert, G, Lejbkowicz, F, Rhenius, V, Romero, A, Rookus, MA, Ross, EA, Rossing, M, Rudaitis, V, Ruebner, M, Saloustros, E, Sanden, K, Santamarina, M, Scheuner, MT, Schmutzler, RK, Schneider, M, Scott, C, Senter, L, Shah, M, Sharma, P, Shu, X-O, Simard, J, Singer, CF, Sohn, C, Soucy, P, Southey, MC, Spinelli, JJ, Steele, L, Stoppa-Lyonnet, D, Tapper, WJ, Teixeira, MR, Terry, MB, Thomassen, M, Thompson, J, Thull, DL, Tischkowitz, M, Tollenaar, RAEM, Torres, D, Troester, MA, Truong, T, Tung, N, Untch, M, Vachon, CM, van Rensburg, EJ, van Veen, EM, Vega, A, Viel, A, Wappenschmidt, B, Weitzel, JN, Wendt, C, Wieme, G, Wolk, A, Yang, XR, Zheng, W, Ziogas, A, Zorn, KK, Dunning, AM, Lush, M, Wang, Q, McGuffog, L, Parsons, MT, Pharoah, PDP, Fostira, F, Toland, AE, Andrulis, IL, Ramus, SJ, Swerdlow, AJ, Greene, MH, Chung, WK, Milne, RL, Chenevix-Trench, G, Doerk, T, Schmidt, MK, Easton, DF, Radice, P, Hahnen, E, Antoniou, AC, Couch, FJ, Nevanlinna, H, Surralles, J, Peterlongo, P, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, CS, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Belotti, M, Bertrand, O, Birot, A-M, Buecher, B, Caputo, S, Dupre, A, Fourme, E, Gauthier-Villars, M, Golmard, L, Le Mentec, M, Moncoutier, V, de Pauw, A, Saule, C, Boutry-Kryza, N, Calender, A, Giraud, S, Leone, M, Bressac-de-Paillerets, B, Caron, O, Guillaud-Bataille, M, Bignon, Y-J, Uhrhammer, N, Bonadona, V, Lasset, C, Berthet, P, Castera, L, Vaur, D, Bourdon, V, Nogues, C, Noguchi, T, Popovici, C, Remenieras, A, Sobol, H, Coupier, I, Pujol, P, Adenis, C, Dumont, A, Revillion, F, Muller, D, Barouk-Simonet, E, Bonnet, F, Bubien, V, Longy, M, Sevenet, N, Gladieff, L, Guimbaud, R, Feillel, V, Toulas, C, Dreyfus, H, Leroux, CD, Peysselon, M, Rebischung, C, Legrand, C, Baurand, A, Bertolone, G, Coron, F, Faivre, L, Jacquot, C, Lizard, S, Kientz, C, Lebrun, M, Prieur, F, Fert-Ferrer, S, Mari, V, Venat-Bouvet, L, Bezieau, S, Delnatte, C, Mortemousque, I, Colas, C, Coulet, F, Soubrier, F, Warcoin, M, Bronner, M, Sokolowska, J, Collonge-Rame, M-A, Damette, A, Gesta, P, Lallaoui, H, Chiesa, J, Molina-Gomes, D, Ingster, O, Manouvrier-Hanu, S, Lejeune, S, Aghmesheh, M, Greening, S, Amor, D, Gattas, M, Botes, L, Buckley, M, Friedlander, M, Koehler, J, Meiser, B, Saleh, M, Salisbury, E, Trainer, A, Tucker, K, Antill, Y, Dobrovic, A, Fellows, A, Fox, S, Harris, M, Nightingale, S, Phillips, K, Sambrook, J, Thorne, H, Armitage, S, Arnold, L, Kefford, R, Kirk, J, Rickard, E, Bastick, P, Beesley, J, Hayward, N, Spurdle, A, Walker, L, Beilby, J, Saunders, C, Bennett, I, Blackburn, A, Bogwitz, M, Gaff, C, Lindeman, G, Pachter, N, Sexton, A, Visvader, J, Taylor, J, Winship, I, Brennan, M, Brown, M, French, J, Edwards, S, Burgess, M, Burke, J, Patterson, B, Butow, P, Culling, B, Caldon, L, Callen, D, Chauhan, D, Eisenbruch, M, Heiniger, L, Chauhan, M, Christian, A, Dixon, J, Kidd, A, Cohen, P, Colley, A, Fenton, G, Crook, A, Dickson, R, Field, M, Cui, J, Cummings, M, Dawson, S-J, DeFazio, A, Delatycki, M, Dudding, T, Edkins, T, Farshid, G, Flanagan, J, Fong, P, Forrest, L, Gallego-Ortega, D, George, P, Gill, G, Kollias, J, Haan, E, Hart, S, Jenkins, M, Hunt, C, Lakhani, S, Lipton, L, Lobb, L, Mann, G, McLachlan, SA, O'Connell, S, O'Sullivan, S, Pieper, E, Robinson, B, Saunus, J, Scott, E, Shelling, A, Williams, R, and Young, MA
Abstract: Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes BRCA1, BRCA2, PALB2, ATM, and CHEK2 are associated with breast cancer risk. FANCM, which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM:p.Arg658*, p.Gln1701*, and p.Arg1931* for association with breast cancer risk in 67,112 cases, 53,766 controls, and 26,662 carriers of pathogenic variants of BRCA1 or BRCA2. These three variants were also studied functionally by measuring survival and chromosome fragility in FANCM−/− patient-derived immortalized fibroblasts treated with diepoxybutane or olaparib. We observed that FANCM:p.Arg658* was associated with increased risk of ER-negative disease and TNBC (OR = 2.44, P = 0.034 and OR = 3.79; P = 0.009, respectively). In a country-restricted analysis, we confirmed the associations detected for FANCM:p.Arg658* and found that also FANCM:p.Arg1931* was associated with ER-negative breast cancer risk (OR = 1.96; P = 0.006). The functional results indicated that all three variants were deleterious affecting cell survival and chromosome stability with FANCM:p.Arg658* causing more severe phenotypes. In conclusion, we confirmed that the two rare FANCM deleterious variants p.Arg658* and p.Arg1931* are risk factors for ER-negative and TNBC subtypes. Overall our data suggest that the effect of truncating variants on breast cancer risk may depend on their position in the gene. Cell sensitivity to olaparib exposure, identifies a possible therapeutic option to treat FANCM-associated tumors.
Published: 2019

14. Two truncating variants in FANCC and breast cancer risk

Author: Dork, T, Peterlongo, P, Mannermaa, A, Bolla, MK, Wang, Q, Dennis, J, Ahearn, T, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Augustinsson, A, Freeman, LEB, Beckmann, MW, Beeghly-Fadiel, A, Behrens, S, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Brauch, H, Brenner, H, Burwinkel, B, Canzian, F, Chan, TL, Chang-Claude, J, Chanock, SJ, Choi, J-Y, Christiansen, H, Clarke, CL, Couch, FJ, Czene, K, Daly, MB, dos-Santos-Silva, I, Dwek, M, Eccles, DM, Ekici, AB, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Flyger, H, Fritschisl, L, Gabrielson, M, Gago-Dominguez, M, Gao, C, Gapstur, SM, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Goldgar, DE, Guenel, P, Haeberle, L, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hartman, M, Hauke, J, Hein, A, Hillemanns, P, Hogervorst, FBL, Hooning, MJ, Hopper, JL, Howell, T, Huo, D, Ito, H, Iwasaki, M, Jakubowska, A, Janni, W, John, EM, Jung, A, Kaaks, R, Kang, D, Kapoor, PM, Khusnutdinova, E, Kim, S-W, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kwon, A, Lambrechts, D, Le Marchand, L, Li, J, Lindstrom, S, Linet, M, Lo, W-Y, Long, J, Lophatananon, A, Lubinski, J, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, E, Matsuo, K, Mavroudis, D, Meindl, A, Menon, U, Milne, RL, Taib, NAM, Muir, K, Mulligan, AM, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Offit, K, Olopade, O, Olshan, AF, Olson, JE, Olsson, H, Park, SK, Park-Simon, T-W, Peto, J, Plaseska-Karanfilska, D, Pohl-Rescigno, E, Presneau, N, Rack, B, Radice, P, Rashid, MU, Rennert, G, Rennert, HS, Romero, A, Ruebner, M, Saloustros, E, Schmidt, MK, Schmutzler, RK, Schneider, MO, Schoemaker, MJ, Scott, C, Shen, C-Y, Shu, X-O, Simard, J, Slager, S, Smichkoska, S, Southey, MC, Spinelli, JJ, Stone, J, Surowy, H, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Teo, SH, Terry, MB, Toland, AE, Tollenaar, RAEM, Torres, D, Torres-Mejia, G, Troester, MA, Truong, T, Tsugane, S, Untch, M, Vachon, CM, van den Ouweland, AMW, van Veen, EM, Vijai, J, Wendt, C, Wolk, A, Yu, J-C, Zheng, W, Ziogas, A, Ziv, E, Dunning, AM, Pharoah, PDP, Schindler, D, Devilee, P, Easton, DF, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, CS, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Borresen-Dale, A-L, Alnaes, GIG, Sahlberg, KK, Ottestad, L, Karesen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebraten, O, Naume, B, Fossa, A, Kiserud, CE, Reinertsen, K, Helland, A, Riis, M, Geisler, J, Dork, T, Peterlongo, P, Mannermaa, A, Bolla, MK, Wang, Q, Dennis, J, Ahearn, T, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Augustinsson, A, Freeman, LEB, Beckmann, MW, Beeghly-Fadiel, A, Behrens, S, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Brauch, H, Brenner, H, Burwinkel, B, Canzian, F, Chan, TL, Chang-Claude, J, Chanock, SJ, Choi, J-Y, Christiansen, H, Clarke, CL, Couch, FJ, Czene, K, Daly, MB, dos-Santos-Silva, I, Dwek, M, Eccles, DM, Ekici, AB, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Flyger, H, Fritschisl, L, Gabrielson, M, Gago-Dominguez, M, Gao, C, Gapstur, SM, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Goldgar, DE, Guenel, P, Haeberle, L, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hartman, M, Hauke, J, Hein, A, Hillemanns, P, Hogervorst, FBL, Hooning, MJ, Hopper, JL, Howell, T, Huo, D, Ito, H, Iwasaki, M, Jakubowska, A, Janni, W, John, EM, Jung, A, Kaaks, R, Kang, D, Kapoor, PM, Khusnutdinova, E, Kim, S-W, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kwon, A, Lambrechts, D, Le Marchand, L, Li, J, Lindstrom, S, Linet, M, Lo, W-Y, Long, J, Lophatananon, A, Lubinski, J, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, E, Matsuo, K, Mavroudis, D, Meindl, A, Menon, U, Milne, RL, Taib, NAM, Muir, K, Mulligan, AM, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Offit, K, Olopade, O, Olshan, AF, Olson, JE, Olsson, H, Park, SK, Park-Simon, T-W, Peto, J, Plaseska-Karanfilska, D, Pohl-Rescigno, E, Presneau, N, Rack, B, Radice, P, Rashid, MU, Rennert, G, Rennert, HS, Romero, A, Ruebner, M, Saloustros, E, Schmidt, MK, Schmutzler, RK, Schneider, MO, Schoemaker, MJ, Scott, C, Shen, C-Y, Shu, X-O, Simard, J, Slager, S, Smichkoska, S, Southey, MC, Spinelli, JJ, Stone, J, Surowy, H, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Teo, SH, Terry, MB, Toland, AE, Tollenaar, RAEM, Torres, D, Torres-Mejia, G, Troester, MA, Truong, T, Tsugane, S, Untch, M, Vachon, CM, van den Ouweland, AMW, van Veen, EM, Vijai, J, Wendt, C, Wolk, A, Yu, J-C, Zheng, W, Ziogas, A, Ziv, E, Dunning, AM, Pharoah, PDP, Schindler, D, Devilee, P, Easton, DF, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, CS, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Borresen-Dale, A-L, Alnaes, GIG, Sahlberg, KK, Ottestad, L, Karesen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebraten, O, Naume, B, Fossa, A, Kiserud, CE, Reinertsen, K, Helland, A, Riis, M, and Geisler, J
Abstract: Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44-1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
Published: 2019

15. Genome-wide association study of germline variants and breast cancer-specific mortality

Author: Escala-Garcia, M, Guo, Q, Doerk, T, Canisius, S, Keeman, R, Dennis, J, Beesley, J, Lecarpentier, J, Bolla, MK, Wang, Q, Abraham, J, Andrulis, IL, Anton-Culver, H, Arndt, V, Auer, PL, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bernstein, L, Blomqvist, C, Boeckx, B, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Brenner, H, Brentnall, A, Brinton, L, Broberg, P, Brock, IW, Brucker, SY, Burwinkel, B, Caldas, C, Caldes, T, Campa, D, Canzian, F, Carracedo, A, Carter, BD, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Cheng, T-YD, Chin, S-F, Clarke, CL, Cordina-Duverger, E, Couch, FJ, Cox, DG, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dunn, JA, Dunning, AM, Durcan, L, Dwek, M, Earl, HM, Ekici, AB, Eliassen, AH, Ellberg, C, Engel, C, Eriksson, M, Evans, DG, Figueroa, J, Flesch-Janys, D, Flyger, H, Gabrielson, M, Gago-Dominguez, M, Galle, E, Gapstur, SM, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, George, A, Georgoulias, V, Giles, GG, Glendon, G, Goldgar, DE, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hankinson, S, Harkness, EF, Harrington, PA, Hart, SN, Hartikainen, JM, Hein, A, Hillemanns, P, Hiller, L, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huang, G, Humphreys, K, Hunter, DJ, Janni, W, John, EM, Jones, ME, Jukkola-Vuorinen, A, Jung, A, Kaaks, R, Kabisch, M, Kaczmarek, K, Kerin, MJ, Khan, S, Khusnutdinova, E, Kiiski, J, Kitahara, CM, Knight, JA, Ko, Y-D, Koppert, LB, Kosma, V-M, Kraft, P, Kristensen, VN, Kruger, U, Kuehl, T, Lambrechts, D, Le Marchand, L, Lee, E, Lejbkowicz, F, Li, L, Lindblom, A, Lindstrom, S, Linet, M, Lissowska, J, Lo, W-Y, Loibl, S, Lubinski, J, Lux, MP, MacInnis, RJ, Maierthaler, M, Maishman, T, Makalic, E, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, ME, Mavroudis, D, McLean, C, Meindl, A, Middha, P, Miller, N, Milne, RL, Moreno, F, Mulligan, AM, Mulot, C, Nassir, R, Neuhausen, SL, Newman, WT, Nielsen, SF, Nordestgaard, BG, Norman, A, Olsson, H, Orr, N, Pankratz, VS, Park-Simon, T-W, Perez, JIA, Perez-Barrios, C, Peterlongo, P, Petridis, C, Pinchev, M, Prajzendanc, K, Prentice, R, Presneau, N, Prokofieva, D, Pylkas, K, Rack, B, Radice, P, Ramachandran, D, Rennert, G, Rennert, HS, Rhenius, V, Romero, A, Roylance, R, Saloustros, E, Sawyer, EJ, Schmidt, DF, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schumacher, F, Schwentner, L, Scott, RJ, Scott, C, Seynaeve, C, Shah, M, Simard, J, Smeets, A, Sohn, C, Southey, MC, Swerdlow, AJ, Talhouk, A, Tamimi, RM, Tapper, WJ, Teixeira, MR, Tengstrom, M, Terry, MB, Thoene, K, Tollenaar, RAEM, Tomlinson, I, Torres, D, Truong, T, Turman, C, Turnbull, C, Ulmer, H-U, Untch, M, Vachon, C, van Asperen, CJ, van den Ouweland, AMW, van Veen, EM, Wendt, C, Whittemore, AS, Willett, W, Winqvist, R, Wolk, A, Yang, XR, Zhang, Y, Easton, DF, Fasching, PA, Nevanlinna, H, Eccles, DM, Pharoah, PDP, Schmidt, MK, Escala-Garcia, M, Guo, Q, Doerk, T, Canisius, S, Keeman, R, Dennis, J, Beesley, J, Lecarpentier, J, Bolla, MK, Wang, Q, Abraham, J, Andrulis, IL, Anton-Culver, H, Arndt, V, Auer, PL, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bernstein, L, Blomqvist, C, Boeckx, B, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Brenner, H, Brentnall, A, Brinton, L, Broberg, P, Brock, IW, Brucker, SY, Burwinkel, B, Caldas, C, Caldes, T, Campa, D, Canzian, F, Carracedo, A, Carter, BD, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Cheng, T-YD, Chin, S-F, Clarke, CL, Cordina-Duverger, E, Couch, FJ, Cox, DG, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dunn, JA, Dunning, AM, Durcan, L, Dwek, M, Earl, HM, Ekici, AB, Eliassen, AH, Ellberg, C, Engel, C, Eriksson, M, Evans, DG, Figueroa, J, Flesch-Janys, D, Flyger, H, Gabrielson, M, Gago-Dominguez, M, Galle, E, Gapstur, SM, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, George, A, Georgoulias, V, Giles, GG, Glendon, G, Goldgar, DE, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hankinson, S, Harkness, EF, Harrington, PA, Hart, SN, Hartikainen, JM, Hein, A, Hillemanns, P, Hiller, L, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huang, G, Humphreys, K, Hunter, DJ, Janni, W, John, EM, Jones, ME, Jukkola-Vuorinen, A, Jung, A, Kaaks, R, Kabisch, M, Kaczmarek, K, Kerin, MJ, Khan, S, Khusnutdinova, E, Kiiski, J, Kitahara, CM, Knight, JA, Ko, Y-D, Koppert, LB, Kosma, V-M, Kraft, P, Kristensen, VN, Kruger, U, Kuehl, T, Lambrechts, D, Le Marchand, L, Lee, E, Lejbkowicz, F, Li, L, Lindblom, A, Lindstrom, S, Linet, M, Lissowska, J, Lo, W-Y, Loibl, S, Lubinski, J, Lux, MP, MacInnis, RJ, Maierthaler, M, Maishman, T, Makalic, E, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, ME, Mavroudis, D, McLean, C, Meindl, A, Middha, P, Miller, N, Milne, RL, Moreno, F, Mulligan, AM, Mulot, C, Nassir, R, Neuhausen, SL, Newman, WT, Nielsen, SF, Nordestgaard, BG, Norman, A, Olsson, H, Orr, N, Pankratz, VS, Park-Simon, T-W, Perez, JIA, Perez-Barrios, C, Peterlongo, P, Petridis, C, Pinchev, M, Prajzendanc, K, Prentice, R, Presneau, N, Prokofieva, D, Pylkas, K, Rack, B, Radice, P, Ramachandran, D, Rennert, G, Rennert, HS, Rhenius, V, Romero, A, Roylance, R, Saloustros, E, Sawyer, EJ, Schmidt, DF, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schumacher, F, Schwentner, L, Scott, RJ, Scott, C, Seynaeve, C, Shah, M, Simard, J, Smeets, A, Sohn, C, Southey, MC, Swerdlow, AJ, Talhouk, A, Tamimi, RM, Tapper, WJ, Teixeira, MR, Tengstrom, M, Terry, MB, Thoene, K, Tollenaar, RAEM, Tomlinson, I, Torres, D, Truong, T, Turman, C, Turnbull, C, Ulmer, H-U, Untch, M, Vachon, C, van Asperen, CJ, van den Ouweland, AMW, van Veen, EM, Wendt, C, Whittemore, AS, Willett, W, Winqvist, R, Wolk, A, Yang, XR, Zhang, Y, Easton, DF, Fasching, PA, Nevanlinna, H, Eccles, DM, Pharoah, PDP, and Schmidt, MK
Abstract: BACKGROUND: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry. METHODS: Meta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP). RESULTS: We did not find any variant associated with breast cancer-specific mortality at P < 5 × 10-8. For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 × 10-7, hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84-0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 × 10-7, HR = 1.27, 95% CI = 1.16-1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster. CONCLUSIONS: We uncovered germline variants on chromosome 7 at BFDP < 15% close to genes for which there is biological evidence related to breast cancer outcome. However, the paucity of variants associated with mortality at genome-wide significance underpins the challenge in providing genetic-based individualised prognostic information for breast cancer patients.
Published: 2019

16. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

Author: Mavaddat, N, Michailidou, K, Dennis, J, Lush, M, Fachal, L, Lee, A, Tyrer, JP, Chen, T-H, Wang, Q, Bolla, MK, Yang, X, Adank, MA, Ahearn, T, Aittomaki, K, Allen, J, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Auer, PL, Auvinen, P, Barrdahl, M, Freeman, LEB, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bernstein, L, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Bremer, M, Brenner, H, Brentnall, A, Brock, IW, Brooks-Wilson, A, Brucker, SY, Bruening, T, Burwinkel, B, Campa, D, Carter, BD, Castelao, JE, Chanock, SJ, Chlebowski, R, Christiansen, H, Clarke, CL, Collee, JM, Cordina-Duverger, E, Cornelissen, S, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Doerk, T, dos-Santos-Silva, I, Dumont, M, Durcan, L, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Ellberg, C, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fletcher, O, Flyger, H, Foersti, A, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Gapstur, SM, Garcia-Saenz, JA, Gaudet, MM, Georgoulias, V, Giles, GG, Gilyazova, IR, Glendon, G, Goldberg, MS, Goldgar, DE, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Gronwald, J, Grundy, A, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hamann, U, Hankinson, SE, Harkness, EF, Hart, SN, He, W, Hein, A, Heyworth, J, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huang, G, Humphreys, K, Hunter, DJ, Jakimovska, M, Jakubowska, A, Janni, W, John, EM, Johnson, N, Jones, ME, Jukkola-Vuorinen, A, Jung, A, Kaaks, R, Kaczmarek, K, Kataja, V, Keeman, R, Kerin, MJ, Khusnutdinova, E, Kiiski, J, Knight, JA, Ko, Y-D, Kosma, V-M, Koutros, S, Kristensen, VN, Kruger, U, Kuehl, T, Lambrechts, D, Le Marchand, L, Lee, E, Lejbkowicz, F, Lilyquist, J, Lindblom, A, Lindstrom, S, Lissowska, J, Lo, W-Y, Loibl, S, Long, J, Lubinski, J, Lux, MP, MacInnis, RJ, Maishman, T, Makalic, E, Kostovska, IM, Mannermaa, A, Manoukian, S, Margolin, S, Martens, JWM, Martinez, ME, Mavroudis, D, McLean, C, Meindl, A, Menon, U, Middha, P, Miller, N, Moreno, F, Mulligan, AM, Mulot, C, Munoz-Garzon, VM, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Nielsen, SF, Nordestgaard, BG, Norman, A, Offit, K, Olson, JE, Olsson, H, Orr, N, Pankratz, VS, Park-Simon, T-W, Perez, JIA, Perez-Barrios, C, Peterlongo, P, Peto, J, Pinchev, M, Plaseska-Karanfilska, D, Polley, EC, Prentice, R, Presneau, N, Prokofyeva, D, Purrington, K, Pylkas, K, Rack, B, Radice, P, Rau-Murthy, R, Rennert, G, Rennert, HS, Rhenius, V, Robson, M, Romero, A, Ruddy, KJ, Ruebner, M, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmidt, DF, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schumacher, F, Schuermann, P, Schwentner, L, Scott, C, Scott, RJ, Seynaeve, C, Shah, M, Sherman, ME, Shrubsole, MJ, Shu, X-O, Slager, S, Smeets, A, Sohn, C, Soucy, P, Southey, MC, Spinelli, JJ, Stegmaier, C, Stone, J, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Thoene, K, Tollenaar, RAEM, Tomlinson, I, Truong, T, Tzardi, M, Ulmer, H-U, Untch, M, Vachon, CM, van Veen, EM, Vijai, J, Weinberg, CR, Wendt, C, Whittemore, AS, Wildiers, H, Willett, W, Winqvist, R, Wolk, A, Yang, XR, Yannoukakos, D, Zhang, Y, Zheng, W, Ziogas, A, Clarke, C, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, CS, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Sexton, A, Dobrovic, A, Christian, A, Trainer, A, Fellows, A, Shelling, A, De Fazio, A, Blackburn, A, Crook, A, Meiser, B, Patterson, B, Saunders, C, Hunt, C, Amor, D, Ortega, DG, Edkins, E, Salisbury, E, Haan, E, Macrea, F, Farshid, G, Lindeman, G, Trench, G, Mann, G, Giles, G, Gill, G, Thorne, H, Campbell, I, Hickie, I, Caldon, L, Winship, I, Cui, J, Flanagan, J, Kollias, J, Visvader, J, Taylor, J, Burke, J, Saunus, J, Forbs, J, Hopper, J, Beesley, J, Kirk, J, French, J, Tucker, K, Wu, K, Phillips, K, Forrest, L, Lipton, L, Andrews, L, Lobb, L, Walker, L, Kentwell, M, Spurdle, M, Cummings, M, Gleeson, M, Harris, M, Jenkins, M, Young, MA, Delatycki, M, Wallis, M, Burgess, M, Brown, M, Southey, M, Bogwitz, M, Field, M, Friedlander, M, Gattas, M, Saleh, M, Aghmesheh, M, Hayward, N, Pachter, N, Cohen, P, Duijf, P, James, P, Fong, P, Butow, P, Williams, R, Kefford, R, Simard, J, Balleine, R-M, Dawson, S-J, Lok, S, O'connell, S, Greening, S, Nightingale, S, Edwards, S, Fox, S, McLachlan, S-A, Lakhani, S, Dudding, T, Antill, Y, Sahlberg, KK, Ottestad, L, Karesen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebraten, O, Naume, B, Fossa, A, Kiserud, CE, Reinertsen, K, Helland, A, Riis, M, Geisler, J, Dunning, AM, Thompson, DJ, Chenevix-Trench, G, Chang-Claude, J, Schmidt, MK, Hall, P, Milne, RL, Pharoah, PDP, Antoniou, AC, Chatterjee, N, Kraft, P, Garcia-Closas, M, Easton, DF, Mavaddat, N, Michailidou, K, Dennis, J, Lush, M, Fachal, L, Lee, A, Tyrer, JP, Chen, T-H, Wang, Q, Bolla, MK, Yang, X, Adank, MA, Ahearn, T, Aittomaki, K, Allen, J, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Auer, PL, Auvinen, P, Barrdahl, M, Freeman, LEB, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bernstein, L, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Bremer, M, Brenner, H, Brentnall, A, Brock, IW, Brooks-Wilson, A, Brucker, SY, Bruening, T, Burwinkel, B, Campa, D, Carter, BD, Castelao, JE, Chanock, SJ, Chlebowski, R, Christiansen, H, Clarke, CL, Collee, JM, Cordina-Duverger, E, Cornelissen, S, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Doerk, T, dos-Santos-Silva, I, Dumont, M, Durcan, L, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Ellberg, C, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fletcher, O, Flyger, H, Foersti, A, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Gapstur, SM, Garcia-Saenz, JA, Gaudet, MM, Georgoulias, V, Giles, GG, Gilyazova, IR, Glendon, G, Goldberg, MS, Goldgar, DE, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Gronwald, J, Grundy, A, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hamann, U, Hankinson, SE, Harkness, EF, Hart, SN, He, W, Hein, A, Heyworth, J, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huang, G, Humphreys, K, Hunter, DJ, Jakimovska, M, Jakubowska, A, Janni, W, John, EM, Johnson, N, Jones, ME, Jukkola-Vuorinen, A, Jung, A, Kaaks, R, Kaczmarek, K, Kataja, V, Keeman, R, Kerin, MJ, Khusnutdinova, E, Kiiski, J, Knight, JA, Ko, Y-D, Kosma, V-M, Koutros, S, Kristensen, VN, Kruger, U, Kuehl, T, Lambrechts, D, Le Marchand, L, Lee, E, Lejbkowicz, F, Lilyquist, J, Lindblom, A, Lindstrom, S, Lissowska, J, Lo, W-Y, Loibl, S, Long, J, Lubinski, J, Lux, MP, MacInnis, RJ, Maishman, T, Makalic, E, Kostovska, IM, Mannermaa, A, Manoukian, S, Margolin, S, Martens, JWM, Martinez, ME, Mavroudis, D, McLean, C, Meindl, A, Menon, U, Middha, P, Miller, N, Moreno, F, Mulligan, AM, Mulot, C, Munoz-Garzon, VM, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Nielsen, SF, Nordestgaard, BG, Norman, A, Offit, K, Olson, JE, Olsson, H, Orr, N, Pankratz, VS, Park-Simon, T-W, Perez, JIA, Perez-Barrios, C, Peterlongo, P, Peto, J, Pinchev, M, Plaseska-Karanfilska, D, Polley, EC, Prentice, R, Presneau, N, Prokofyeva, D, Purrington, K, Pylkas, K, Rack, B, Radice, P, Rau-Murthy, R, Rennert, G, Rennert, HS, Rhenius, V, Robson, M, Romero, A, Ruddy, KJ, Ruebner, M, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmidt, DF, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schumacher, F, Schuermann, P, Schwentner, L, Scott, C, Scott, RJ, Seynaeve, C, Shah, M, Sherman, ME, Shrubsole, MJ, Shu, X-O, Slager, S, Smeets, A, Sohn, C, Soucy, P, Southey, MC, Spinelli, JJ, Stegmaier, C, Stone, J, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Thoene, K, Tollenaar, RAEM, Tomlinson, I, Truong, T, Tzardi, M, Ulmer, H-U, Untch, M, Vachon, CM, van Veen, EM, Vijai, J, Weinberg, CR, Wendt, C, Whittemore, AS, Wildiers, H, Willett, W, Winqvist, R, Wolk, A, Yang, XR, Yannoukakos, D, Zhang, Y, Zheng, W, Ziogas, A, Clarke, C, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, CS, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Sexton, A, Dobrovic, A, Christian, A, Trainer, A, Fellows, A, Shelling, A, De Fazio, A, Blackburn, A, Crook, A, Meiser, B, Patterson, B, Saunders, C, Hunt, C, Amor, D, Ortega, DG, Edkins, E, Salisbury, E, Haan, E, Macrea, F, Farshid, G, Lindeman, G, Trench, G, Mann, G, Giles, G, Gill, G, Thorne, H, Campbell, I, Hickie, I, Caldon, L, Winship, I, Cui, J, Flanagan, J, Kollias, J, Visvader, J, Taylor, J, Burke, J, Saunus, J, Forbs, J, Hopper, J, Beesley, J, Kirk, J, French, J, Tucker, K, Wu, K, Phillips, K, Forrest, L, Lipton, L, Andrews, L, Lobb, L, Walker, L, Kentwell, M, Spurdle, M, Cummings, M, Gleeson, M, Harris, M, Jenkins, M, Young, MA, Delatycki, M, Wallis, M, Burgess, M, Brown, M, Southey, M, Bogwitz, M, Field, M, Friedlander, M, Gattas, M, Saleh, M, Aghmesheh, M, Hayward, N, Pachter, N, Cohen, P, Duijf, P, James, P, Fong, P, Butow, P, Williams, R, Kefford, R, Simard, J, Balleine, R-M, Dawson, S-J, Lok, S, O'connell, S, Greening, S, Nightingale, S, Edwards, S, Fox, S, McLachlan, S-A, Lakhani, S, Dudding, T, Antill, Y, Sahlberg, KK, Ottestad, L, Karesen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebraten, O, Naume, B, Fossa, A, Kiserud, CE, Reinertsen, K, Helland, A, Riis, M, Geisler, J, Dunning, AM, Thompson, DJ, Chenevix-Trench, G, Chang-Claude, J, Schmidt, MK, Hall, P, Milne, RL, Pharoah, PDP, Antoniou, AC, Chatterjee, N, Kraft, P, Garcia-Closas, M, and Easton, DF
Abstract: Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.
Published: 2019

17. Abstract PD1-05: Transgenerational epigenetic silencing of BRCA1 due to a germline variant unmasks a new mechanism for familial breast and ovarian cancer

Author: van Veen, EM, primary, Smith, MJ, additional, Byers, HJ, additional, Wallace, AJ, additional, Lalloo, FI, additional, Newman, WG, additional, and Evans, DGR, additional
Published: 2018
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18. Breast cancer polygenic risk scores derived in White European populations are not calibrated for women of Ashkenazi Jewish descent.

Author: Roberts E, van Veen EM, Byers H, Barnett-Griness O, Gronich N, Lejbkowicz F, Pinchev M, Smith MJ, Howell A, Newman WG, Woodward ER, Harkness EF, Brentnall AR, Cuzick J, Rennert G, Howell SJ, and Gareth Evans D
Published: 2023
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19. Differential involvement of germline pathogenic variants in breast cancer genes between DCIS and low-grade invasive cancers.

Author: Evans DG, Sithambaram S, van Veen EM, Burghel GJ, Schlecht H, Harkness EF, Byers H, Ellingford JM, Gandhi A, Howell SJ, Howell A, Forde C, Lalloo F, Newman WG, Smith MJ, and Woodward ER
Subjects: Female, Humans, BRCA1 Protein genetics, BRCA2 Protein genetics, Germ-Line Mutation genetics, Genes, BRCA2, Germ Cells pathology, Carcinoma, Intraductal, Noninfiltrating diagnosis, Carcinoma, Intraductal, Noninfiltrating genetics, Carcinoma, Intraductal, Noninfiltrating pathology, Breast Neoplasms diagnosis, Breast Neoplasms genetics, Breast Neoplasms epidemiology
Abstract: Purpose: To investigate frequency of germline pathogenic variants (PVs) in women with ductal carcinoma in situ (DCIS) and grade 1 invasive breast cancer (G1BC)., Methods: We undertook BRCA1/2 analysis in 311 women with DCIS and 392 with G1BC and extended panel testing (non- BRCA1 / 2 ) in 176/311 with DCIS and 156/392 with G1BC. We investigated PV detection by age at diagnosis, Manchester Score (MS), DCIS grade and receptor status., Results: 30/311 (9.6%) with DCIS and 16/392 with G1BC (4.1%) had a BRCA1 / 2 PV (p=0.003), and 24/176-(13.6%) and 7/156-(4.5%), respectively, a non- BRCA1 / 2 PV (p=0.004). Increasing MS was associated with increased likelihood of BRCA1/2 PV in both DCIS and G1BC, although the 10% threshold was not predictive for G1GB. 13/32 (40.6%) DCIS and 0/17 with G1BC <40 years had a non-BRCA1/2 PV (p<0.001). 0/16 DCIS G1 had a PV. For G2 and G3 DCIS, PV rates were 10/98 ( BRCA1 / 2 ) and 9/90 (non- BRCA1 / 2 ), and 8/47 ( BRCA1 / 2 ) and 8/45 (non- BRCA1 / 2 ), respectively. 6/9 BRCA1 and 3/26 BRCA2 -associated DCIS were oestrogen receptor negative-(p=0.003). G1BC population testing showed no increased PV rate (OR=1.16, 95% CI 0.28 to 4.80)., Conclusion: DCIS is more likely to be associated with both BRCA1/2 and non- BRCA1 / 2 PVs than G1BC. Extended panel testing ought to be offered in young-onset DCIS where PV detection rates are highest., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2023
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20. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival.

Author: Morra A, Schreurs MAC, Andrulis IL, Anton-Culver H, Augustinsson A, Beckmann MW, Behrens S, Bojesen SE, Bolla MK, Brauch H, Broeks A, Buys SS, Camp NJ, Castelao JE, Cessna MH, Chang-Claude J, Chung WK, Colonna SV, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Dennis J, Devilee P, Dörk T, Dunning AM, Dwek M, Easton DF, Eccles DM, Eriksson M, Evans DG, Fasching PA, Fehm TN, Figueroa JD, Flyger H, Gabrielson M, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Genkinger J, Grassmann F, Gündert M, Hahnen E, Haiman CA, Hamann U, Harrington PA, Hartikainen JM, Hoppe R, Hopper JL, Houlston RS, Howell A, Jakubowska A, Janni W, Jernström H, John EM, Johnson N, Jones ME, Kristensen VN, Kurian AW, Lambrechts D, Le Marchand L, Lindblom A, Lubiński J, Lux MP, Mannermaa A, Mavroudis D, Mulligan AM, Muranen TA, Nevanlinna H, Nevelsteen I, Neven P, Newman WG, Obi N, Offit K, Olshan AF, Park-Simon TW, Patel AV, Peterlongo P, Phillips KA, Plaseska-Karanfilska D, Polley EC, Presneau N, Pylkäs K, Rack B, Radice P, Rashid MU, Rhenius V, Robson M, Romero A, Saloustros E, Sawyer EJ, Schmutzler RK, Schuetze S, Scott C, Shah M, Smichkoska S, Southey MC, Tapper WJ, Teras LR, Tollenaar RAEM, Tomczyk K, Tomlinson I, Troester MA, Vachon CM, van Veen EM, Wang Q, Wendt C, Wildiers H, Winqvist R, Ziogas A, Hall P, Pharoah PDP, Adank MA, Hollestelle A, Schmidt MK, and Hooning MJ
Subjects: Female, Humans, Checkpoint Kinase 2 genetics, Genetic Predisposition to Disease, Germ-Line Mutation, Heterozygote, Proportional Hazards Models, Breast Neoplasms genetics, Breast Neoplasms radiotherapy
Abstract: Background: Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC-specific survival (BCSS) compared to non-carriers., Aim: To assessed the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS., Methods: Analyses were based on 82,701 women diagnosed with a first primary invasive BC including 963 CHEK2 c.1100delC carriers; median follow-up was 9.1 years. Differential associations with treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi-state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death., Results: There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status. The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR (95% CI): 0.66 (0.55-0.78)]. No association was observed with radiotherapy. Results from the multi-state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non-carriers also after accounting for CBC occurrence [HR (95% CI): 1.30 (1.09-1.56)]., Conclusion: Systemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk., (© 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)
Published: 2023
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21. Spectrum and Frequency of Germline FANCM Protein-Truncating Variants in 44,803 European Female Breast Cancer Cases.

Author: Figlioli G, Billaud A, Wang Q, Bolla MK, Dennis J, Lush M, Kvist A, Adank MA, Ahearn TU, Antonenkova NN, Auvinen P, Behrens S, Bermisheva M, Bogdanova NV, Bojesen SE, Bonanni B, Brüning T, Camp NJ, Campbell A, Castelao JE, Cessna MH, Nbcs Collaborators, Czene K, Devilee P, Dörk T, Eriksson M, Fasching PA, Flyger H, Gabrielson M, Gago-Dominguez M, García-Closas M, Glendon G, Gómez Garcia EB, González-Neira A, Grassmann F, Guénel P, Hahnen E, Hamann U, Hillemanns P, Hooning MJ, Hoppe R, Howell A, Humphreys K, kConFab Investigators, Jakubowska A, Khusnutdinova EK, Kristensen VN, Lindblom A, Loizidou MA, Lubiński J, Mannermaa A, Maurer T, Mavroudis D, Newman WG, Obi N, Panayiotidis MI, Radice P, Rashid MU, Rhenius V, Ruebner M, Saloustros E, Sawyer EJ, Schmidt MK, Schmutzler RK, Shah M, Southey MC, Tomlinson I, Truong T, van Veen EM, Wendt C, Yang XR, Michailidou K, Dunning AM, Pharoah PDP, Easton DF, Andrulis IL, Evans DG, Hollestelle A, Chang-Claude J, Milne RL, and Peterlongo P
Abstract: FANCM germline protein truncating variants (PTVs) are moderate-risk factors for ER-negative breast cancer. We previously described the spectrum of FANCM PTVs in 114 European breast cancer cases. In the present, larger cohort, we report the spectrum and frequency of four common and 62 rare FANCM PTVs found in 274 carriers detected among 44,803 breast cancer cases. We confirmed that p.Gln1701* was the most common PTV in Northern Europe with lower frequencies in Southern Europe. In contrast, p.Gly1906Alafs*12 was the most common PTV in Southern Europe with decreasing frequencies in Central and Northern Europe. We verified that p.Arg658* was prevalent in Central Europe and had highest frequencies in Eastern Europe. We also confirmed that the fourth most common PTV, p.Gln498Thrfs*7, might be a founder variant from Lithuania. Based on the frequency distribution of the carriers of rare PTVs, we showed that the FANCM PTVs spectra in Southwestern and Central Europe were much more heterogeneous than those from Northeastern Europe. These findings will inform the development of more efficient FANCM genetic testing strategies for breast cancer cases from specific European populations.
Published: 2023
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22. FANCM missense variants and breast cancer risk: a case-control association study of 75,156 European women.

Author: Figlioli G, Billaud A, Ahearn TU, Antonenkova NN, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Blok MJ, Bogdanova NV, Bonanni B, Burwinkel B, Camp NJ, Campbell A, Castelao JE, Cessna MH, Chanock SJ, Czene K, Devilee P, Dörk T, Engel C, Eriksson M, Fasching PA, Figueroa JD, Gabrielson M, Gago-Dominguez M, García-Closas M, González-Neira A, Grassmann F, Guénel P, Gündert M, Hadjisavvas A, Hahnen E, Hall P, Hamann U, Harrington PA, He W, Hillemanns P, Hollestelle A, Hooning MJ, Hoppe R, Howell A, Humphreys K, Jager A, Jakubowska A, Khusnutdinova EK, Ko YD, Kristensen VN, Lindblom A, Lissowska J, Lubiński J, Mannermaa A, Manoukian S, Margolin S, Mavroudis D, Newman WG, Obi N, Panayiotidis MI, Rashid MU, Rhenius V, Rookus MA, Saloustros E, Sawyer EJ, Schmutzler RK, Shah M, Sironen R, Southey MC, Suvanto M, Tollenaar RAEM, Tomlinson I, Truong T, van der Kolk LE, van Veen EM, Wappenschmidt B, Yang XR, Bolla MK, Dennis J, Dunning AM, Easton DF, Lush M, Michailidou K, Pharoah PDP, Wang Q, Adank MA, Schmidt MK, Andrulis IL, Chang-Claude J, Nevanlinna H, Chenevix-Trench G, Evans DG, Milne RL, Radice P, and Peterlongo P
Subjects: Humans, Female, Triple Negative Breast Neoplasms genetics, Genetic Predisposition to Disease, Breast Neoplasms genetics, DNA Helicases genetics
Abstract: Evidence from literature, including the BRIDGES study, indicates that germline protein truncating variants (PTVs) in FANCM confer moderately increased risk of ER-negative and triple-negative breast cancer (TNBC), especially for women with a family history of the disease. Association between FANCM missense variants (MVs) and breast cancer risk has been postulated. In this study, we further used the BRIDGES study to test 689 FANCM MVs for association with breast cancer risk, overall and in ER-negative and TNBC subtypes, in 39,885 cases (7566 selected for family history) and 35,271 controls of European ancestry. Sixteen common MVs were tested individually; the remaining rare 673 MVs were tested by burden analyses considering their position and pathogenicity score. We also conducted a meta-analysis of our results and those from published studies. We did not find evidence for association for any of the 16 variants individually tested. The rare MVs were significantly associated with increased risk of ER-negative breast cancer by burden analysis comparing familial cases to controls (OR = 1.48; 95% CI 1.07-2.04; P = 0.017). Higher ORs were found for the subgroup of MVs located in functional domains or predicted to be pathogenic. The meta-analysis indicated that FANCM MVs overall are associated with breast cancer risk (OR = 1.22; 95% CI 1.08-1.38; P = 0.002). Our results support the definition from previous analyses of FANCM as a moderate-risk breast cancer gene and provide evidence that FANCM MVs could be low/moderate risk factors for ER-negative and TNBC subtypes. Further genetic and functional analyses are necessary to clarify better the increased risks due to FANCM MVs., (© 2023. The Author(s).)
Published: 2023
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23. The impact of coding germline variants on contralateral breast cancer risk and survival.

Author: Morra A, Mavaddat N, Muranen TA, Ahearn TU, Allen J, Andrulis IL, Auvinen P, Becher H, Behrens S, Blomqvist C, Bojesen SE, Bolla MK, Brauch H, Camp NJ, Carvalho S, Castelao JE, Cessna MH, Chang-Claude J, Chenevix-Trench G, Czene K, Decker B, Dennis J, Dörk T, Dorling L, Dunning AM, Ekici AB, Eriksson M, Evans DG, Fasching PA, Figueroa JD, Flyger H, Gago-Dominguez M, García-Closas M, Geurts-Giele WRR, Giles GG, Guénel P, Gündert M, Hahnen E, Hall P, Hamann U, Harrington PA, He W, Heikkilä P, Hooning MJ, Hoppe R, Howell A, Humphreys K, Jakubowska A, Jung AY, Keeman R, Kristensen VN, Lubiński J, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Mavroudis D, Milne RL, Mulligan AM, Newman WG, Park-Simon TW, Peterlongo P, Pharoah PDP, Rhenius V, Saloustros E, Sawyer EJ, Schmutzler RK, Shah M, Spurdle AB, Tomlinson I, Truong T, van Veen EM, Vreeswijk MPG, Wang Q, Wendt C, Yang XR, Nevanlinna H, Devilee P, Easton DF, and Schmidt MK
Subjects: Female, Humans, Genes, BRCA2, Germ-Line Mutation, Germ Cells, Genetic Predisposition to Disease, Breast Neoplasms genetics
Abstract: Evidence linking coding germline variants in breast cancer (BC)-susceptibility genes other than BRCA1, BRCA2, and CHEK2 with contralateral breast cancer (CBC) risk and breast cancer-specific survival (BCSS) is scarce. The aim of this study was to assess the association of protein-truncating variants (PTVs) and rare missense variants (MSVs) in nine known (ATM, BARD1, BRCA1, BRCA2, CHEK2, PALB2, RAD51C, RAD51D, and TP53) and 25 suspected BC-susceptibility genes with CBC risk and BCSS. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated with Cox regression models. Analyses included 34,401 women of European ancestry diagnosed with BC, including 676 CBCs and 3,449 BC deaths; the median follow-up was 10.9 years. Subtype analyses were based on estrogen receptor (ER) status of the first BC. Combined PTVs and pathogenic/likely pathogenic MSVs in BRCA1, BRCA2, and TP53 and PTVs in CHEK2 and PALB2 were associated with increased CBC risk [HRs (95% CIs): 2.88 (1.70-4.87), 2.31 (1.39-3.85), 8.29 (2.53-27.21), 2.25 (1.55-3.27), and 2.67 (1.33-5.35), respectively]. The strongest evidence of association with BCSS was for PTVs and pathogenic/likely pathogenic MSVs in BRCA2 (ER-positive BC) and TP53 and PTVs in CHEK2 [HRs (95% CIs): 1.53 (1.13-2.07), 2.08 (0.95-4.57), and 1.39 (1.13-1.72), respectively, after adjusting for tumor characteristics and treatment]. HRs were essentially unchanged when censoring for CBC, suggesting that these associations are not completely explained by increased CBC risk, tumor characteristics, or treatment. There was limited evidence of associations of PTVs and/or rare MSVs with CBC risk or BCSS for the 25 suspected BC genes. The CBC findings are relevant to treatment decisions, follow-up, and screening after BC diagnosis., Competing Interests: Declaration of interests B.D. is a stockholder of Roche, Vaccitech and EQRx. P.A.F. conducts research funded by Amgen, Novartis, and Pfizer outside the submitted work. He received honoraria from Roche, Novartis, and Pfizer outside the submitted work. D.F.E. is an associate editor at The American Journal of Human Genetics (AJHG)., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2023
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24. A Novel Automated Approach to Mutation-Cancer Relation Extraction by Incorporating Heterogeneous Knowledge.

Author: Cao J, van Veen EM, Peek N, Renehan AG, and Ananiadou S
Subjects: Humans, Mutation genetics, Data Mining methods, Neoplasms genetics
Abstract: Automatic extraction of relations between gene mutations and cancer entities occurring in the cancer literature using text mining can rapidly provide vital information to support precision cancer medicine. However, mutation-cancer relation extraction is more challenging than general relation extraction from free text, since it is often not possible without cancer-specific background knowledge and thus the model replies on a deeper understanding of complex surrounding tokens. We propose a deep learning model that jointly extracts mutations and their associated cancers. Background knowledge comes from two different knowledge bases which store different types of information about mutations. Given the different ways in which knowledge is stored in these two resources, we propose two separate methods for embedding knowledge, namely sentence-based knowledge integration and attribute-aware knowledge integration. The evaluation demonstrated that our model outperforms a number of baseline models and gains 96.00%, 92.57% and 94.57% F1 scores on three public datasets, EMU BCa, EMU PCa, and BRONCO, thus illustrating the effectiveness of our knowledge integration approach. The auxiliary experiments show that our models can utilize more informative text from the KBs and link the mutations to their corresponding cancer disease although the input text provides insufficient context.
Published: 2023
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25. Breast cancer risk stratification in women of screening age: Incremental effects of adding mammographic density, polygenic risk, and a gene panel.

Author: Evans DGR, van Veen EM, Harkness EF, Brentnall AR, Astley SM, Byers H, Woodward ER, Sampson S, Southworth J, Howell SJ, Maxwell AJ, Newman WG, Cuzick J, and Howell A
Subjects: Case-Control Studies, Early Detection of Cancer, Female, Genetic Predisposition to Disease, Humans, Polymorphism, Single Nucleotide genetics, Risk Assessment methods, Risk Factors, Breast Density genetics, Breast Neoplasms diagnostic imaging, Breast Neoplasms genetics
Abstract: Purpose: There is great promise in breast cancer risk stratification to target screening and prevention. It is unclear whether adding gene panels to other risk tools improves breast cancer risk stratification and adds discriminatory benefit on a population basis., Methods: In total, 10,025 of 57,902 women aged 46 to 73 years in the Predicting Risk of Cancer at Screening study provided DNA samples. A case-control study was used to evaluate breast cancer risk assessment using polygenic risk scores (PRSs), cancer gene panel (n = 33), mammographic density (density residual [DR]), and risk factors collected using a self-completed 2-page questionnaire (Tyrer-Cuzick [TC] model version 8). In total, 525 cases and 1410 controls underwent gene panel testing and PRS calculation (18, 143, and/or 313 single-nucleotide polymorphisms [SNPs])., Results: Actionable pathogenic variants (PGVs) in BRCA1/2 were found in 1.7% of cases and 0.55% of controls, and overall PGVs were found in 6.1% of cases and 1.3% of controls. A combined assessment of TC8-DR-SNP313 and gene panel provided the best risk stratification with 26.1% of controls and 9.7% of cases identified at <1.4% 10-year risk and 9.01% of controls and 23.3% of cases at ≥8% 10-year risk. Because actionable PGVs were uncommon, discrimination was identical with/without gene panel (with/without: area under the curve = 0.67, 95% CI = 0.64-0.70). Only 7 of 17 PGVs in cases resulted in actionable risk category change. Extended case (n = 644)-control (n = 1779) series with TC8-DR-SNP143 identified 18.9% of controls and only 6.4% of stage 2+ cases at <1.4% 10-year risk and 20.7% of controls and 47.9% of stage 2+ cases at ≥5% 10-year risk., Conclusion: Further studies and economic analysis will determine whether adding panels to PRS is a cost-effective strategy for risk stratification., Competing Interests: Conflict of Interest The authors declare no conflicts of interest., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2022
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26. Genome-wide interaction analysis of menopausal hormone therapy use and breast cancer risk among 62,370 women.

Author: Wang X, Kapoor PM, Auer PL, Dennis J, Dunning AM, Wang Q, Lush M, Michailidou K, Bolla MK, Aronson KJ, Murphy RA, Brooks-Wilson A, Lee DG, Cordina-Duverger E, Guénel P, Truong T, Mulot C, Teras LR, Patel AV, Dossus L, Kaaks R, Hoppe R, Lo WY, Brüning T, Hamann U, Czene K, Gabrielson M, Hall P, Eriksson M, Jung A, Becher H, Couch FJ, Larson NL, Olson JE, Ruddy KJ, Giles GG, MacInnis RJ, Southey MC, Le Marchand L, Wilkens LR, Haiman CA, Olsson H, Augustinsson A, Krüger U, Wagner P, Scott C, Winham SJ, Vachon CM, Perou CM, Olshan AF, Troester MA, Hunter DJ, Eliassen HA, Tamimi RM, Brantley K, Andrulis IL, Figueroa J, Chanock SJ, Ahearn TU, García-Closas M, Evans GD, Newman WG, van Veen EM, Howell A, Wolk A, Håkansson N, Anton-Culver H, Ziogas A, Jones ME, Orr N, Schoemaker MJ, Swerdlow AJ, Kitahara CM, Linet M, Prentice RL, Easton DF, Milne RL, Kraft P, Chang-Claude J, and Lindström S
Subjects: Breast, Estrogen Replacement Therapy adverse effects, Female, Hormone Replacement Therapy adverse effects, Humans, Menopause, Risk Factors, Breast Neoplasms chemically induced, Breast Neoplasms epidemiology, Breast Neoplasms genetics
Abstract: Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values < 5 × 10 -8 as genome-wide significant, and p-values < 1 × 10 -5 as suggestive. Linkage disequilibrium (LD)-based clumping was performed to identify independent candidate variants. None of the 9.7 million genetic variants tested for interactions with MHT use reached genome-wide significance. Only 213 variants, representing 18 independent loci, had p-values < 1 × 10 5 . The strongest evidence was found for rs4674019 (p-value = 2.27 × 10 -7 ), which showed genome-wide significant interaction (p-value = 3.8 × 10 -8 ) with current MHT use when analysis was restricted to population-based studies only. Limiting the analyses to combined estrogen-progesterone MHT use only or to estrogen receptor (ER) positive cases did not identify any genome-wide significant evidence of interactions. In this large genome-wide SNP-MHT interaction study of breast cancer, we found no strong support for common genetic variants modifying the effect of MHT on breast cancer risk. These results suggest that common genetic variation has limited impact on the observed MHT-breast cancer risk association., (© 2022. The Author(s).)
Published: 2022
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27. Extended gene panel testing in lobular breast cancer.

Author: van Veen EM, Evans DG, Harkness EF, Byers HJ, Ellingford JM, Woodward ER, Bowers NL, Wallace AJ, Howell SJ, Howell A, Lalloo F, Newman WG, and Smith MJ
Subjects: Female, Genes, BRCA2, Genetic Predisposition to Disease, Genetic Testing, Germ-Line Mutation, Humans, Breast Neoplasms diagnosis
Abstract: Purpose: Lobular breast cancer (LBC) accounts for ~ 15% of breast cancer. Here, we studied the frequency of pathogenic germline variants (PGVs) in an extended panel of genes in women affected with LBC., Methods: 302 women with LBC and 1567 without breast cancer were tested for BRCA1/2 PGVs. A subset of 134 LBC affected women who tested negative for BRCA1/2 PGVs underwent extended screening, including: ATM, CDH1, CHEK2, NBN, PALB2, PTEN, RAD50, RAD51D, and TP53., Results: 35 PGVs were identified in the group with LBC, of which 22 were in BRCA1/2. Ten actionable PGVs were identified in additional genes (ATM(4), CDH1(1), CHEK2(1), PALB2(2) and TP53(2)). Overall, PGVs in three genes conferred a significant increased risk for LBC. Odds ratios (ORs) were: BRCA1: OR = 13.17 (95%CI 2.83-66.38; P = 0.0017), BRCA2: OR = 10.33 (95%CI 4.58-23.95; P < 0.0001); and ATM: OR = 8.01 (95%CI 2.52-29.92; P = 0.0053). We did not detect an increased risk of LBC for PALB2, CDH1 or CHEK2., Conclusion: The overall PGV detection rate was 11.59%, with similar rates of BRCA1/2 (7.28%) PGVs as for other actionable PGVs (7.46%), indicating a benefit for extended panel genetic testing in LBC. We also report a previously unrecognised association of pathogenic variants in ATM with LBC., (© 2021. The Author(s).)
Published: 2022
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28. High likelihood of actionable pathogenic variant detection in breast cancer genes in women with very early onset breast cancer.

Author: Evans DG, van Veen EM, Byers HJ, Evans SJ, Burghel GJ, Woodward ER, Harkness EF, Eccles DM, Greville-Haygate SL, Ellingford JM, Bowers NL, Pereira M, Wallace AJ, Howell SJ, Howell A, Lalloo F, Newman WG, and Smith MJ
Subjects: Adult, Age of Onset, DNA, Neoplasm, Female, Genes, p53, Humans, Sequence Analysis, DNA, Breast Neoplasms genetics, Checkpoint Kinase 2 genetics, Genes, BRCA1, Genes, BRCA2, Mutation
Abstract: Background: While the likelihood of identifying constitutional breast cancer-associated BRCA1 , BRCA2 and TP53 pathogenic variants (PVs) increases with earlier diagnosis age, little is known about the correlation with age at diagnosis in other predisposition genes. Here, we assessed the contribution of known breast cancer-associated genes to very early onset disease., Methods: Sequencing of BRCA1 , BRCA2, TP53 and CHEK2 c.1100delC was undertaken in women with breast cancer diagnosed ≤30 years. Those testing negative were screened for PVs in a minimum of eight additional breast cancer-associated genes. Rates of PVs were compared with cases ≤30 years from the Prospective study of Outcomes in Sporadic vs Hereditary breast cancer (POSH) study., Results: Testing 379 women with breast cancer aged ≤30 years identified 75 PVs (19.7%) in BRCA1 , 35 (9.2%) in BRCA2 , 22 (5.8%) in TP53 and 2 (0.5%) CHEK2 c.1100delC. Extended screening of 184 PV negative women only identified eight additional actionable PVs. BRCA1/2 PVs were more common in women aged 26-30 years than in younger women (p=0.0083) although the younger age group had rates more similar to those in the POSH cohort. Out of 26 women with ductal carcinoma in situ (DCIS) alone, most were high-grade and 11/26 (42.3%) had a PV ( TP53 =6, BRCA2 =2, BRCA1 =2, PALB2 =1). This PV yield is similar to the 61 (48.8%) BRCA1/2 PVs identified in 125 women with triple-negative breast cancer. The POSH cohort specifically excluded pure DCIS which may explain lower TP53 PV rates in this group (1.7%)., Conclusion: The rates of BRCA1 , BRCA2 and TP53 PVs are high in very early onset breast cancer, with limited benefit from testing of additional breast cancer-associated genes., Competing Interests: Competing interests: JME is funded by a postdoctoral research fellowship from the Health Education England Genomics Education Programme (HEE GEP). SGH is funded by a research fellowship from the Health Education England Genomics Education Programme (HEE GEP). DGE has received travel grants from AstraZeneca., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.)
Published: 2022
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29. Common variants in breast cancer risk loci predispose to distinct tumor subtypes.

Author: Ahearn TU, Zhang H, Michailidou K, Milne RL, Bolla MK, Dennis J, Dunning AM, Lush M, Wang Q, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Augustinsson A, Baten A, Becher H, Behrens S, Benitez J, Bermisheva M, Blomqvist C, Bojesen SE, Bonanni B, Børresen-Dale AL, Brauch H, Brenner H, Brooks-Wilson A, Brüning T, Burwinkel B, Buys SS, Canzian F, Castelao JE, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Clarke CL, Collée JM, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dwek M, Eccles DM, Evans DG, Fasching PA, Figueroa J, Floris G, Gago-Dominguez M, Gapstur SM, García-Sáenz JA, Gaudet MM, Giles GG, Goldberg MS, González-Neira A, Alnæs GIG, Grip M, Guénel P, Haiman CA, Hall P, Hamann U, Harkness EF, Heemskerk-Gerritsen BAM, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Jakimovska M, Jakubowska A, John EM, Jones ME, Jung A, Kaaks R, Kauppila S, Keeman R, Khusnutdinova E, Kitahara CM, Ko YD, Koutros S, Kristensen VN, Krüger U, Kubelka-Sabit K, Kurian AW, Kyriacou K, Lambrechts D, Lee DG, Lindblom A, Linet M, Lissowska J, Llaneza A, Lo WY, MacInnis RJ, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, McLean C, Meindl A, Menon U, Nevanlinna H, Newman WG, Nodora J, Offit K, Olsson H, Orr N, Park-Simon TW, Patel AV, Peto J, Pita G, Plaseska-Karanfilska D, Prentice R, Punie K, Pylkäs K, Radice P, Rennert G, Romero A, Rüdiger T, Saloustros E, Sampson S, Sandler DP, Sawyer EJ, Schmutzler RK, Schoemaker MJ, Schöttker B, Sherman ME, Shu XO, Smichkoska S, Southey MC, Spinelli JJ, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Teras LR, Terry MB, Torres D, Troester MA, Vachon CM, van Deurzen CHM, van Veen EM, Wagner P, Weinberg CR, Wendt C, Wesseling J, Winqvist R, Wolk A, Yang XR, Zheng W, Couch FJ, Simard J, Kraft P, Easton DF, Pharoah PDP, Schmidt MK, García-Closas M, and Chatterjee N
Subjects: Biomarkers, Tumor genetics, Biomarkers, Tumor metabolism, Female, Genome-Wide Association Study, Humans, Receptor, ErbB-2 genetics, Receptor, ErbB-2 metabolism, Receptors, Estrogen genetics, Receptors, Estrogen metabolism, Receptors, Progesterone genetics, Receptors, Progesterone metabolism, Risk, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Breast Neoplasms metabolism
Abstract: Background: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear., Methods: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes., Results: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions., Conclusion: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction., (© 2021. The Author(s).)
Published: 2022
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30. Dominant-negative pathogenic variant BRIP1 c.1045G>C is a high-risk allele for non-mucinous epithelial ovarian cancer: A case-control study.

Author: Flaum N, van Veen EM, Smith O, Amico S, Newman WG, Crosbie EJ, Edmondson R, Smith MJ, and Evans DG
Subjects: Aged, Carcinoma, Ovarian Epithelial diagnosis, Carcinoma, Ovarian Epithelial therapy, Case-Control Studies, Female, Gene Frequency, Genetic Association Studies, Humans, Middle Aged, Ovarian Neoplasms diagnosis, Ovarian Neoplasms therapy, Sequence Analysis, DNA, Alleles, Carcinoma, Ovarian Epithelial genetics, Fanconi Anemia Complementation Group Proteins genetics, Genes, Dominant, Genetic Predisposition to Disease, Ovarian Neoplasms genetics, RNA Helicases genetics
Abstract: BRIP1 is a moderate susceptibility epithelial ovarian cancer (EOC) gene. Having identified the BRIP1 c.1045G>C missense variant in a number of families with EOC, we aimed to investigate the frequency of this and BRIP1.2392C>T pathogenic variant in patients with breast cancer (BC) and/or EOC. A case-control study of 3767 cases and 2043 controls was undertaken investigating the presence of these variants using Sanger sequencing and gene panel data. Individuals with BC and/or EOC were grouped by family history. BRIP1 c.1045G>C was associated with increased risk of BC/EOC (OR = 37.7; 95% CI 5.3-444.2; P = 0.0001). The risk was highest for women with EOC (OR = 140.8; 95% CI 23.5-1723.0; P < 0.0001) and lower for BC (OR = 11.1; 95% CI 1.2-106.5; P = 0.1588). BRIP1 c.2392C>T was associated with smaller risks for BC/EOC (OR = 5.4; 95%CI 2.4-12.7; P = 0.0003), EOC (OR = 5.9; 95% CI 1.3-23.0; p = 0.0550) and BC (OR = 5.3; 95%CI 2.3-12.9; P = 0.0009). Our study highlights the importance of BRIP1 as an EOC susceptibility gene, especially in familial EOC. The variant BRIP1 c.1045G>C, rs149364097, is of particular interest as its dominant-negative effect may confer a higher risk of EOC than that of the previously reported BRIP1 c.2392C>T nonsense variant. Dominant-negative missense variants may confer higher risks than their loss-of-function counterparts., (© 2021 The Authors. Clinical Genetics published by John Wiley & Sons Ltd.)
Published: 2022
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31. The importance of ethnicity: Are breast cancer polygenic risk scores ready for women who are not of White European origin?

Author: Evans DG, van Veen EM, Byers H, Roberts E, Howell A, Howell SJ, Harkness EF, Brentnall A, Cuzick J, and Newman WG
Subjects: Adult, Aged, Breast Density, Breast Neoplasms genetics, Breast Neoplasms pathology, Carcinoma, Ductal, Breast genetics, Carcinoma, Ductal, Breast pathology, Carcinoma, Intraductal, Noninfiltrating genetics, Carcinoma, Intraductal, Noninfiltrating pathology, Case-Control Studies, England epidemiology, Female, Follow-Up Studies, Genetic Predisposition to Disease, Humans, Middle Aged, Prognosis, Risk Factors, Biomarkers, Tumor genetics, Breast Neoplasms epidemiology, Carcinoma, Ductal, Breast epidemiology, Carcinoma, Intraductal, Noninfiltrating epidemiology, Ethnicity genetics, Polymorphism, Single Nucleotide, White People genetics
Abstract: Polygenic risk scores (PRS) for disease risk stratification show great promise for application in general populations, but most are based on data from individuals of White European origin. We assessed two well validated PRS (SNP18, SNP143) in the Predicting-Risk-of-Cancer-At-Screening (PROCAS) study in North-West England for breast cancer prediction based on ethnicity. Overall, 9475 women without breast cancer at study entry, including 645 who subsequently developed invasive breast cancer or ductal carcinoma in situ provided DNA. All were genotyped for SNP18 and a subset of 1868 controls were genotyped for SNP143. For White Europeans both PRS discriminated well between individuals with and without cancer. For n = 395 Black (n = 112), Asian (n = 119), mixed (n = 44) or Jewish (n = 120) women without cancer both PRS overestimated breast cancer risk, being most marked for women of Black and Jewish origin (P < .001). SNP143 resulted in a potential mean 40% breast cancer risk overestimation in the combined group of non-White/non-European origin. SNP-PRS that has been normalized based on White European ethnicity for breast cancer should not be used to predict risk in women of other ethnicities. There is an urgent need to develop PRS specific for other ethnicities, in order to widen access of this technology., (© 2021 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
Published: 2022
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32. Breast cancer incidence and early diagnosis in a family history risk and prevention clinic: 33-year experience in 14,311 women.

Author: Evans DG, Howell SJ, Gandhi A, van Veen EM, Woodward ER, Harvey J, Barr L, Wallace A, Lalloo F, Wilson M, Hurley E, Lim Y, Maxwell AJ, Harkness EF, and Howell A
Subjects: Adult, Early Detection of Cancer, Female, Humans, Incidence, Magnetic Resonance Imaging, Mammography, Mass Screening, Mutation, Breast Neoplasms diagnosis, Breast Neoplasms epidemiology, Breast Neoplasms genetics
Abstract: Purpose: Women at increased familial breast cancer risk have been offered screening starting at an earlier age and increased frequency than national Screening Programmes for over 30 years. There are limited data on longer-term largescale implementation of this approach on cancer diagnosis., Methods: Women at our institution at ≥ 17% lifetime breast cancer risk have been offered enhanced screening with annual mammography starting at age 35 or 5-years younger than youngest affected relative, with upper age limit 50 for moderate and 60 for high-risk. Breast cancer pathology, stage and receptor status were assessed as well as survival from cancer diagnosis by Kaplan-Meier analysis., Results: Overall 14,311 women were seen and assessed for breast cancer risk, with 649 breast cancers occurring in 129,119 years follow up (post-prevalent annual incidence = 4.55/1000). Of 323/394 invasive breast cancers occurring whilst on enhanced screening, most were lymph-node negative (72.9%), T1 (≤ 20 mm, 73.2%) and stage-1 (61.4%), 126/394 stage2-4 (32%). 10-year breast cancer specific survival was 91.3% (95% CI 87.4-94.0) better than the 75.9% (95% CI 74.9-77.0) published for England in 2013-2017. As expected, survival was significantly better for women with screen detected cancers (p < 0.001). Ten-year survival was particularly good for those diagnosed ≤ 40 at 93.8% (n = 75; 95% CI 84.2-97.6). Women with lobular breast cancers had worse 10-year survival at 85.9% (95% CI 66.7-94.5). Breast cancer specific survival was good for 119 BRCA1/2 carriers with 20-year survival in BRCA1:91.2% (95% CI 77.8-96.6) and 83.8% (62.6-93.5) for BRCA2., Conclusions: Targeted breast screening in women aged 30-60 years at increased familial risk is associated with good long-term survival that is substantially better than expected from population data., (© 2021. The Author(s).)
Published: 2021
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33. Stress causes interspecific facilitation within a compost community.

Author: Hesse E, O'Brien S, Luján AM, Sanders D, Bayer F, van Veen EM, Hodgson DJ, and Buckling A
Subjects: Bacteria, Siderophores, Stress, Physiological, Composting
Abstract: Ecological theory predicts interactions between species to become more positive under abiotic stress, while competition should prevail in more benign environments. However, experimental tests of this stress gradient hypothesis in natural microbial communities are lacking. We test this hypothesis by measuring interactions between 10 different members of a bacterial community inhabiting potting compost in the presence or absence of toxic copper stress. We found that copper stress caused significant net changes in species interaction signs, shifting the net balance towards more positive interactions. This pattern was at least in part driven by copper-sensitive isolates - that produced relatively small amounts of metal-detoxifying siderophores - benefitting from the presence of other species that produce extracellular detoxifying agents. As well as providing support for the stress gradient hypothesis, our results highlight the importance of community-wide public goods in shaping microbial community composition., (© 2021 The Authors. Ecology Letters published by John Wiley & Sons Ltd.)
Published: 2021
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34. Clinical utility of testing for PALB2 and CHEK2 c.1100delC in breast and ovarian cancer.

Author: Woodward ER, van Veen EM, Forde C, Harkness EF, Byers HJ, Ellingford JM, Burghel GJ, Schlech H, Bowers NL, Wallace AJ, Howell SJ, Howell A, Lalloo F, Newman WG, Smith MJ, and Gareth Evans D
Subjects: Female, Genetic Predisposition to Disease, Humans, Odds Ratio, Breast Neoplasms diagnosis, Breast Neoplasms genetics, Checkpoint Kinase 2 genetics, Fanconi Anemia Complementation Group N Protein genetics, Ovarian Neoplasms diagnosis, Ovarian Neoplasms genetics
Abstract: Purpose: To investigate the contribution of PALB2 pathogenic gene variants (PGVs, PALB2_PGV) and the CHEK2 c.1100delC (CHEK2_1100delC) PGV to familial breast and ovarian cancer, and PALB2_PGV associated breast cancer pathology., Methods: Outcomes of germline PALB2_PGV and CHEK2_1100delC testing were recorded in 3,127 women with histologically confirmed diagnoses of invasive breast cancer, carcinoma in situ, or epithelial nonmucinous ovarian cancer, and 1,567 female controls. Breast cancer pathology was recorded in PALB2_PGV cases from extended families., Results: Thirty-five PALB2 and 44 CHEK2_1100delC PGVs were detected in patients (odds ratio [OR] PALB2 breast-ovarian = 5.90 [95% CI: 1.92-18.36], CHEK2 breast-ovarian = 4.46 [95% CI: 1.86-10.46], PALB2 breast = 6.16 [95% CI: 1.98-19.21], CHEK2 breast = 4.89 [95% CI: 2.01-11.34]). Grade 3 ER-positive HER2-negative, grade 3 and triple negative (TN) tumors were enriched in cases with PALB2 PGVs compared with all breast cancers known to our service (respectively: 15/43, 254/1,843, P = 0.0005; 28/37, 562/1,381, P = 0.0001; 12/43, 204/1,639, P < 0.0001). PALB2_PGV likelihood increased with increasing Manchester score (MS) (MS < 15 = 17/1,763, MS 20-39 = 11/520, P = 0.04) but not for CHEK2_1100delC (MS < 15 = 29/1,762, MS 20-39 = 4/520). PALB2 PGVs showed perfect segregation in 20/20 first-degree relatives with breast cancer, compared with 7/13 for CHEK2_1100delC (P = 0.002)., Conclusion: PALB2 PGVs and CHEK2_1100delC together account for ~2.5% of familial breast/ovarian cancer risk. PALB2 PGVs are associated with grade 3, TN, and grade 3 ER-positive HER2-negative breast tumors., (© 2021. The Author(s).)
Published: 2021
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35. Mendelian randomisation study of smoking exposure in relation to breast cancer risk.

Author: Park HA, Neumeyer S, Michailidou K, Bolla MK, Wang Q, Dennis J, Ahearn TU, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Augustinsson A, Baten A, Beane Freeman LE, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bogdanova NV, Bojesen SE, Brauch H, Brenner H, Brucker SY, Burwinkel B, Campa D, Canzian F, Castelao JE, Chanock SJ, Chenevix-Trench G, Clarke CL, Conroy DM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Flyger H, Fritschi L, García-Closas M, García-Sáenz JA, Gaudet MM, Giles GG, Glendon G, Goldberg MS, Goldgar DE, González-Neira A, Grip M, Guénel P, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Han S, Harkness EF, Hart SN, He W, Heemskerk-Gerritsen BAM, Hopper JL, Hunter DJ, Jager A, Jakubowska A, John EM, Jung A, Kaaks R, Kapoor PM, Keeman R, Khusnutdinova E, Kitahara CM, Koppert LB, Koutros S, Kristensen VN, Kurian AW, Lacey J, Lambrechts D, Le Marchand L, Lo WY, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, Mavroudis D, Meindl A, Menon U, Milne RL, Muranen TA, Nevanlinna H, Newman WG, Nordestgaard BG, Offit K, Olshan AF, Olsson H, Park-Simon TW, Peterlongo P, Peto J, Plaseska-Karanfilska D, Presneau N, Radice P, Rennert G, Rennert HS, Romero A, Saloustros E, Sawyer EJ, Schmidt MK, Schmutzler RK, Schoemaker MJ, Schwentner L, Scott C, Shah M, Shu XO, Simard J, Smeets A, Southey MC, Spinelli JJ, Stevens V, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Tomlinson I, Troester MA, Truong T, Vachon CM, van Veen EM, Vijai J, Wang S, Wendt C, Winqvist R, Wolk A, Ziogas A, Dunning AM, Pharoah PDP, Easton DF, Zheng W, Kraft P, and Chang-Claude J
Subjects: Breast Neoplasms etiology, Breast Neoplasms genetics, Case-Control Studies, Cigarette Smoking adverse effects, Cigarette Smoking genetics, Female, Genetic Pleiotropy, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotyping Techniques, Humans, Mendelian Randomization Analysis, Breast Neoplasms epidemiology, Cigarette Smoking epidemiology, Polymorphism, Single Nucleotide
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., Methods: 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., Results: Genetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07-1.30, P = 0.11 × 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: 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., (© 2021. The Author(s).)
Published: 2021
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36. Constitutional de novo deletion CNV encompassing REST predisposes to diffuse hyperplastic perilobar nephroblastomatosis (HPLN).

Author: Hyder Z, Fairclough A, Groom M, Getty J, Alexander E, van Veen EM, Makin G, Sethuraman C, Tang V, Evans DG, Maher ER, and Woodward ER
Subjects: Biopsy, Comparative Genomic Hybridization, Cytogenetic Analysis, Female, Genetic Association Studies, Humans, Immunohistochemistry, In Situ Hybridization, Fluorescence, Infant, Kidney Neoplasms surgery, Magnetic Resonance Imaging, Phenotype, DNA Copy Number Variations, Genetic Predisposition to Disease, Germ-Line Mutation, Kidney Neoplasms diagnosis, Kidney Neoplasms genetics, Repressor Proteins genetics, Sequence Deletion
Abstract: Background: Nephroblastomatosis is a recognised precursor for the development of Wilms tumour (WT), the most common childhood renal tumour. While the majority of WT is sporadic in origin, germline intragenic mutations of predisposition genes such as WT1 , REST and TRIM28 have been described in apparently isolated (non-familial) WT.Despite constitutional CNVs being a well-studied cause of developmental disorders, their role in cancer predisposition is less well defined, so that the interpretation of cancer risks associated with specific CNVs can be complex., Objective: To highlight the role of a constitutional deletion CNV (delCNV) encompassing the REST tumour suppressor gene in diffuse hyperplastic perilobar nephroblastomatosis (HPLN)., Methods/results: Array comparative genomic hybridisation in an infant presenting with apparently sporadic diffuse HPLN revealed a de novo germline CNV, arr[GRCh37] 4q12(57,385,330-57,947,405)x1. The REST tumour suppressor gene is located at GRCh37 chr4:57,774,042-57,802,010., Conclusion: This delCNV encompassing REST is associated with nephroblastomatosis. Deletion studies should be included in the molecular work-up of inherited predisposition to WT/nephroblastomatosis. Detection of delCNVs involving known cancer predisposition genes can yield insights into the relationship between underlying genomic architecture and associated tumour risk., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2021
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37. Gene Panel Testing for Breast Cancer Reveals Differential Effect of Prior BRCA1/2 Probability.

Author: Evans DG, van Veen EM, Woodward ER, Harkness EF, Ellingford JM, Bowers NL, Wallace AJ, Howell SJ, Howell A, Lalloo F, Newman WG, and Smith MJ
Abstract: Whilst panel testing of an extended group of genes including BRCA1/2 is commonplace, these studies have not been subdivided by histiotype or by a priori BRCA1/2 probability. Patients with a breast cancer diagnosis undergoing extended panel testing were assessed for frequency of actionable variants in breast cancer genes other than BRCA1/2 by histiotype and Manchester score (MS) to reflect a priori BRCA1/2 likelihood. Rates were adjusted by prior testing for BRCA1/2 in an extended series. 95/1398 (6.3%) who underwent panel testing were found to be positive for actionable non- BRCA1/2 breast/ovarian cancer genes ( ATM , BARD1 , CDH1 , CHEK2 , PALB2 , PTEN , RAD51C , RAD51D , TP53 ). As expected, PALB2 , CHEK2 and ATM were predominant with 80-(5.3%). The highest rate occurred in Grade-3 ER+/HER2- breast cancers-(9.6%). Rates of non-BRCA actionable genes was fairly constant over all likelihoods of BRCA1/2 but adjusted rates were three times higher with MS < 9 ( BRCA1/2 = 1.5%, other = 4.7%), but was only 1.6% compared to 79.3% with MS ≥ 40. Although rates of detection of non-BRCA actionable genes are relatively constant across BRCA1/2 likelihoods this disguises an overall adjusted low frequency in high-likelihood families which have been heavily pre-tested for BRCA1/2 . Any loss of detection sensitivity for BRCA1/2 actionable variants in breast cancer panels should lead to bespoke BRCA1/2 testing being conducted first.
Published: 2021
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38. From BRCA1 to Polygenic Risk Scores: Mutation-Associated Risks in Breast Cancer-Related Genes.

Author: Woodward ER, van Veen EM, and Evans DG
Abstract: Background: There has been huge progress over the last 30 years in identifying the familial component of breast cancer., Summary: Currently around 20% is explained by the high-risk genes BRCA1 and BRCA2 , a further 2% by other high-penetrance genes, and around 5% by the moderate risk genes ATM and CHEK2 . In contrast, the more than 300 low-penetrance single-nucleotide polymorphisms (SNP) now account for around 28% and they are predicted to account for most of the remaining 45% yet to be found. Even for high-risk genes which confer a 40-90% risk of breast cancer, these SNP can substantially affect the level of breast cancer risk. Indeed, the strength of family history and hormonal and reproductive factors is very important in assessing risk even for a BRCA carrier. The risks of contralateral breast cancer are also affected by SNP as well as by the presence of high or moderate risk genes. Genetic testing using gene panels is now commonplace., Key-Messages: There is a need for a more parsimonious approach to panels only testing those genes with a definite 2-fold increased risk and only testing those genes with challenging management implications, such as CDH1 and TP53 , when there is strong clinical indication to do so. Testing of SNP alongside genes is likely to provide a more accurate risk assessment., Competing Interests: D.G.E. has undertaken consultancy work for Astrazeneca and Springworks., (Copyright © 2021 by S. Karger AG, Basel.)
Published: 2021
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39. Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk.

Author: Kapoor PM, Mavaddat N, Choudhury PP, Wilcox AN, Lindström S, Behrens S, Michailidou K, Dennis J, Bolla MK, Wang Q, Jung A, Abu-Ful Z, Ahearn T, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Freeman LEB, Becher H, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bernstein L, Bojesen SE, Brauch H, Brenner H, Brüning T, Cai Q, Campa D, Canzian F, Carracedo A, Carter BD, Castelao JE, Chanock SJ, Chatterjee N, Chenevix-Trench G, Clarke CL, Couch FJ, Cox A, Cross SS, Czene K, Dai JY, Earp HS, Ekici AB, Eliassen AH, Eriksson M, Evans DG, Fasching PA, Figueroa J, Fritschi L, Gabrielson M, Gago-Dominguez M, Gao C, Gapstur SM, Gaudet MM, Giles GG, González-Neira A, Guénel P, Haeberle L, Haiman CA, Håkansson N, Hall P, Hamann U, Hatse S, Heyworth J, Holleczek B, Hoover RN, Hopper JL, Howell A, Hunter DJ, John EM, Jones ME, Kaaks R, Keeman R, Kitahara CM, Ko YD, Koutros S, Kurian AW, Lambrechts D, Le Marchand L, Lee E, Lejbkowicz F, Linet M, Lissowska J, Llaneza A, MacInnis RJ, Martinez ME, Maurer T, McLean C, Neuhausen SL, Newman WG, Norman A, O'Brien KM, Olshan AF, Olson JE, Olsson H, Orr N, Perou CM, Pita G, Polley EC, Prentice RL, Rennert G, Rennert HS, Ruddy KJ, Sandler DP, Saunders C, Schoemaker MJ, Schöttker B, Schumacher F, Scott C, Scott RJ, Shu XO, Smeets A, Southey MC, Spinelli JJ, Stone J, Swerdlow AJ, Tamimi RM, Taylor JA, Troester MA, Vachon CM, van Veen EM, Wang X, Weinberg CR, Weltens C, Willett W, Winham SJ, Wolk A, Yang XR, Zheng W, Ziogas A, Dunning AM, Pharoah PDP, Schmidt MK, Kraft P, Easton DF, Milne RL, García-Closas M, and Chang-Claude J
Subjects: Aged, Aged, 80 and over, Body Mass Index, Breast Neoplasms metabolism, Case-Control Studies, Female, Genetic Predisposition to Disease, Humans, Logistic Models, Medical History Taking, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Estrogen metabolism, Risk Factors, White People, Breast Neoplasms genetics
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., (© The Author(s) 2020. Published by Oxford University Press.)
Published: 2021
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40. 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 PM, Tomczyk K, Jones ME, Schoemaker MJ, Gilham C, Bolla MK, Wang Q, Dennis J, Ahearn TU, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Augustinsson A, Baynes C, Freeman LEB, Beckmann MW, Benitez J, Bermisheva M, Blomqvist C, Boeckx B, Bogdanova NV, Bojesen SE, Brauch H, Brenner H, Burwinkel B, Campa D, Canzian F, Castelao JE, Chanock SJ, Chenevix-Trench G, Clarke CL, Conroy DM, Couch FJ, Cox A, Cross SS, Czene K, Dörk T, Eliassen AH, Engel C, Evans DG, Fasching PA, Figueroa J, Floris G, Flyger H, Gago-Dominguez M, Gapstur SM, García-Closas M, Gaudet MM, Giles GG, Goldberg MS, González-Neira A, Guénel P, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Harrington PA, Hart SN, Hooning MJ, Hopper JL, Howell A, Hunter DJ, Jager A, Jakubowska A, John EM, Kaaks R, Keeman R, Khusnutdinova E, Kitahara CM, Kosma VM, Koutros S, Kraft P, Kristensen VN, Kurian AW, Lambrechts D, Le Marchand L, Linet M, Lubiński J, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Mavroudis D, Mayes R, Meindl A, Milne RL, Neuhausen SL, Nevanlinna H, Newman WG, Nielsen SF, Nordestgaard BG, Obi N, Olshan AF, Olson JE, Olsson H, Orban E, Park-Simon TW, Peterlongo P, Plaseska-Karanfilska D, Pylkäs K, Rennert G, Rennert HS, Ruddy KJ, Saloustros E, Sandler DP, Sawyer EJ, Schmutzler RK, Scott C, Shu XO, Simard J, Smichkoska S, Sohn C, Southey MC, Spinelli JJ, Stone J, Tamimi RM, Taylor JA, Tollenaar RAEM, Tomlinson I, Troester MA, Truong T, Vachon CM, van Veen EM, Wang SS, Weinberg CR, Wendt C, Wildiers H, Winqvist R, Wolk A, Zheng W, Ziogas A, Dunning AM, Pharoah PDP, Easton DF, Howie AF, Peto J, Dos-Santos-Silva I, Swerdlow AJ, Chang-Claude J, Schmidt MK, Orr N, and Fletcher O
Subjects: Alleles, Breast Neoplasms enzymology, Breast Neoplasms urine, Case-Control Studies, Cytochrome P-450 CYP3A metabolism, Estrone genetics, Estrone urine, Female, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Pregnanediol genetics, Pregnanediol urine, Premenopause, Breast Neoplasms genetics, Cytochrome P-450 CYP3A genetics, Estrone analogs & derivatives, Pregnanediol analogs & derivatives, Progesterone urine, Receptors, Estrogen metabolism, Receptors, Progesterone metabolism
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., Methods: 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., Results: 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 × 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 × 10 -8 )., Conclusions: 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.
Published: 2021
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41. Heritability of mammographic breast density.

Author: Evans DG, van Veen EM, Howell A, and Astley S
Abstract: Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims-2020-20). DGE reports grants from Prevent Breast Cancer, personal fees from Astrazeneca, during the conduct of the study. EVV reports grants from Prevent Breast Cancer, during the conduct of the study. SA reports grants from National Institute for Health Research (NIHR) BRC Manchester, during the conduct of the study. The other authors have no conflicts of interest to declare.
Published: 2020
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42. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses.

Author: Zhang H, Ahearn TU, Lecarpentier J, Barnes D, Beesley J, Qi G, Jiang X, O'Mara TA, Zhao N, Bolla MK, Dunning AM, Dennis J, Wang Q, Ful ZA, Aittomäki K, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Arun BK, Auer PL, Azzollini J, Barrowdale D, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bialkowska K, Blanco A, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Bondavalli D, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brucker SY, Brüning T, Burwinkel B, Buys SS, Byers H, Caldés T, Caligo MA, Calvello M, Campa D, Castelao JE, Chang-Claude J, Chanock SJ, Christiaens M, Christiansen H, Chung WK, Claes KBM, Clarke CL, Cornelissen S, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Diez O, Domchek SM, Dörk T, Dwek M, Eccles DM, Ekici AB, Evans DG, Fasching PA, Figueroa J, Foretova L, Fostira F, Friedman E, Frost D, Gago-Dominguez M, Gapstur SM, Garber J, García-Sáenz JA, Gaudet MM, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Gronwald J, Guénel P, Häberle L, Hahnen E, Haiman CA, Hake CR, Hall P, Hamann U, Harkness EF, Heemskerk-Gerritsen BAM, Hillemanns P, Hogervorst FBL, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huebner H, Hulick PJ, Imyanitov EN, Isaacs C, Izatt L, Jager A, Jakimovska M, Jakubowska A, James P, Janavicius R, Janni W, John EM, Jones ME, Jung A, Kaaks R, Kapoor PM, Karlan BY, Keeman R, Khan S, Khusnutdinova E, Kitahara CM, Ko YD, Konstantopoulou I, Koppert LB, Koutros S, Kristensen VN, Laenkholm AV, Lambrechts D, Larsson SC, Laurent-Puig P, Lazaro C, Lazarova E, Lejbkowicz F, Leslie G, Lesueur F, Lindblom A, Lissowska J, Lo WY, Loud JT, Lubinski J, Lukomska A, MacInnis RJ, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez ME, Matricardi L, McGuffog L, McLean C, Mebirouk N, Meindl A, Menon U, Miller A, Mingazheva E, Montagna M, Mulligan AM, Mulot C, Muranen TA, Nathanson KL, Neuhausen SL, Nevanlinna H, Neven P, Newman WG, Nielsen FC, Nikitina-Zake L, Nodora J, Offit K, Olah E, Olopade OI, Olsson H, Orr N, Papi L, Papp J, Park-Simon TW, Parsons MT, Peissel B, Peixoto A, Peshkin B, Peterlongo P, Peto J, Phillips KA, Piedmonte M, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Prokofyeva D, Rack B, Radice P, Ramus SJ, Rantala J, Rashid MU, Rennert G, Rennert HS, Risch HA, Romero A, Rookus MA, Rübner M, Rüdiger T, Saloustros E, Sampson S, Sandler DP, Sawyer EJ, Scheuner MT, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schöttker B, Schürmann P, Senter L, Sharma P, Sherman ME, Shu XO, Singer CF, Smichkoska S, Soucy P, Southey MC, Spinelli JJ, Stone J, Stoppa-Lyonnet D, Swerdlow AJ, Szabo CI, Tamimi RM, Tapper WJ, Taylor JA, Teixeira MR, Terry M, Thomassen M, Thull DL, Tischkowitz M, Toland AE, Tollenaar RAEM, Tomlinson I, Torres D, Troester MA, Truong T, Tung N, Untch M, Vachon CM, van den Ouweland AMW, van der Kolk LE, van Veen EM, vanRensburg EJ, Vega A, Wappenschmidt B, Weinberg CR, Weitzel JN, Wildiers H, Winqvist R, Wolk A, Yang XR, Yannoukakos D, Zheng W, Zorn KK, Milne RL, Kraft P, Simard J, Pharoah PDP, Michailidou K, Antoniou AC, Schmidt MK, Chenevix-Trench G, Easton DF, Chatterjee N, and García-Closas M
Subjects: BRCA1 Protein genetics, Breast Neoplasms pathology, Case-Control Studies, Female, Genetic Predisposition to Disease, Humans, Linkage Disequilibrium, Mutation, Triple Negative Breast Neoplasms genetics, Triple Negative Breast Neoplasms pathology, Breast Neoplasms genetics, Genome-Wide Association Study
Abstract: Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype 1-3 . To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 × 10 -8 ), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate < 0.05). Five loci showed associations (P < 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.
Published: 2020
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43. A case-control evaluation of 143 single nucleotide polymorphisms for breast cancer risk stratification with classical factors and mammographic density.

Author: Brentnall AR, van Veen EM, Harkness EF, Rafiq S, Byers H, Astley SM, Sampson S, Howell A, Newman WG, Cuzick J, and Evans DGR
Subjects: Aged, Breast Density, Breast Neoplasms diagnostic imaging, Case-Control Studies, Female, Genetic Predisposition to Disease, Humans, Mammography, Middle Aged, Overweight genetics, Overweight pathology, Polymorphism, Single Nucleotide, Risk, Breast Neoplasms genetics, Breast Neoplasms pathology
Abstract: Panels of single nucleotide polymorphisms (SNPs) stratify risk for breast cancer in women from the general population, but studies are needed assess their use in a fully comprehensive model including classical risk factors, mammographic density and more than 100 SNPs associated with breast cancer. A case-control study was designed (1,668 controls, 405 cases) in women aged 47-73 years attending routine screening in Manchester UK, and enrolled in a wider study to assess methods for risk assessment. Risk from classical questionnaire risk factors was assessed using the Tyrer-Cuzick model; mean percentage visual mammographic density was scored by two independent readers. DNA extracted from saliva was genotyped at selected SNPs using the OncoArray. A predefined polygenic risk score based on 143 SNPs was calculated (SNP143). The odds ratio (OR, and 95% confidence interval, CI) per interquartile range (IQ-OR) of SNP143 was estimated unadjusted and adjusted for Tyrer-Cuzick and breast density. Secondary analysis assessed risk by oestrogen receptor (ER) status. The primary polygenic risk score was well calibrated (O/E OR 1.10, 95% CI 0.86-1.34) and accuracy was retained after adjustment for Tyrer-Cuzick risk and mammographic density (IQ-OR unadjusted 2.12, 95% CI% 1.75-2.42; adjusted 2.06, 95% CI 1.75-2.42). SNP143 was a risk factor for ER+ and ER- breast cancer (adjusted IQ-OR, ER+ 2.11, 95% CI 1.78-2.51; ER- 1.81, 95% CI 1.16-2.84). In conclusion, polygenic risk scores based on a large number of SNPs improve risk stratification in combination with classical risk factors and mammographic density, and SNP143 was similarly predictive for ER-positive and ER-negative disease., (© 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
Published: 2020
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44. The FANCM :p.Arg658* truncating variant is associated with risk of triple-negative breast cancer.

Author: Figlioli G, Bogliolo M, Catucci I, Caleca L, Lasheras SV, Pujol R, Kiiski JI, Muranen TA, Barnes DR, Dennis J, Michailidou K, Bolla MK, Leslie G, Aalfs CM, Adank MA, Adlard J, Agata S, Cadoo K, Agnarsson BA, Ahearn T, Aittomäki K, Ambrosone CB, Andrews L, Anton-Culver H, Antonenkova NN, Arndt V, Arnold N, Aronson KJ, Arun BK, Asseryanis E, Auber B, Auvinen P, Azzollini J, Balmaña J, Barkardottir RB, Barrowdale D, Barwell J, Beane Freeman LE, Beauparlant CJ, Beckmann MW, Behrens S, Benitez J, Berger R, Bermisheva M, Blanco AM, Blomqvist C, Bogdanova NV, Bojesen A, Bojesen SE, Bonanni B, Borg A, Brady AF, Brauch H, Brenner H, Brüning T, Burwinkel B, Buys SS, Caldés T, Caliebe A, Caligo MA, Campa D, Campbell IG, Canzian F, Castelao JE, Chang-Claude J, Chanock SJ, Claes KBM, Clarke CL, Collavoli A, Conner TA, Cox DG, Cybulski C, Czene K, Daly MB, de la Hoya M, Devilee P, Diez O, Ding YC, Dite GS, Ditsch N, Domchek SM, Dorfling CM, Dos-Santos-Silva I, Durda K, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Ellberg C, Eriksson M, Evans DG, Fasching PA, Figueroa J, Flyger H, Foulkes WD, Friebel TM, Friedman E, Gabrielson M, Gaddam P, Gago-Dominguez M, Gao C, Gapstur SM, Garber J, García-Closas M, García-Sáenz JA, Gaudet MM, Gayther SA, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, Guénel P, Gutierrez-Barrera AM, Haeberle L, Haiman CA, Håkansson N, Hall P, Hamann U, Harrington PA, Hein A, Heyworth J, Hillemanns P, Hollestelle A, Hopper JL, Hosgood HD 3rd, Howell A, Hu C, Hulick PJ, Hunter DJ, Imyanitov EN, Isaacs C, Jakimovska M, Jakubowska A, James P, Janavicius R, Janni W, John EM, Jones ME, Jung A, Kaaks R, Karlan BY, Khusnutdinova E, Kitahara CM, Konstantopoulou I, Koutros S, Kraft P, Lambrechts D, Lazaro C, Le Marchand L, Lester J, Lesueur F, Lilyquist J, Loud JT, Lu KH, Luben RN, Lubinski J, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martens JWM, Maurer T, Mavroudis D, Mebirouk N, Meindl A, Menon U, Miller A, Montagna M, Nathanson KL, Neuhausen SL, Newman WG, Nguyen-Dumont T, Nielsen FC, Nielsen S, Nikitina-Zake L, Offit K, Olah E, Olopade OI, Olshan AF, Olson JE, Olsson H, Osorio A, Ottini L, Peissel B, Peixoto A, Peto J, Plaseska-Karanfilska D, Pocza T, Presneau N, Pujana MA, Punie K, Rack B, Rantala J, Rashid MU, Rau-Murthy R, Rennert G, Lejbkowicz F, Rhenius V, Romero A, Rookus MA, Ross EA, Rossing M, Rudaitis V, Ruebner M, Saloustros E, Sanden K, Santamariña M, Scheuner MT, Schmutzler RK, Schneider M, Scott C, Senter L, Shah M, Sharma P, Shu XO, Simard J, Singer CF, Sohn C, Soucy P, Southey MC, Spinelli JJ, Steele L, Stoppa-Lyonnet D, Tapper WJ, Teixeira MR, Terry MB, Thomassen M, Thompson J, Thull DL, Tischkowitz M, Tollenaar RAEM, Torres D, Troester MA, Truong T, Tung N, Untch M, Vachon CM, van Rensburg EJ, van Veen EM, Vega A, Viel A, Wappenschmidt B, Weitzel JN, Wendt C, Wieme G, Wolk A, Yang XR, Zheng W, Ziogas A, Zorn KK, Dunning AM, Lush M, Wang Q, McGuffog L, Parsons MT, Pharoah PDP, Fostira F, Toland AE, Andrulis IL, Ramus SJ, Swerdlow AJ, Greene MH, Chung WK, Milne RL, Chenevix-Trench G, Dörk T, Schmidt MK, Easton DF, Radice P, Hahnen E, Antoniou AC, Couch FJ, Nevanlinna H, Surrallés J, and Peterlongo P
Abstract: Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes BRCA1 , BRCA2 , PALB2 , ATM , and CHEK2 are associated with breast cancer risk. FANCM , which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM :p.Arg658*, p.Gln1701*, and p.Arg1931* for association with breast cancer risk in 67,112 cases, 53,766 controls, and 26,662 carriers of pathogenic variants of BRCA1 or BRCA2 . These three variants were also studied functionally by measuring survival and chromosome fragility in FANCM -/- patient-derived immortalized fibroblasts treated with diepoxybutane or olaparib. We observed that FANCM :p.Arg658* was associated with increased risk of ER-negative disease and TNBC (OR = 2.44, P = 0.034 and OR = 3.79; P = 0.009, respectively). In a country-restricted analysis, we confirmed the associations detected for FANCM :p.Arg658* and found that also FANCM :p.Arg1931* was associated with ER-negative breast cancer risk (OR = 1.96; P = 0.006). The functional results indicated that all three variants were deleterious affecting cell survival and chromosome stability with FANCM :p.Arg658* causing more severe phenotypes. In conclusion, we confirmed that the two rare FANCM deleterious variants p.Arg658* and p.Arg1931* are risk factors for ER-negative and TNBC subtypes. Overall our data suggest that the effect of truncating variants on breast cancer risk may depend on their position in the gene. Cell sensitivity to olaparib exposure, identifies a possible therapeutic option to treat FANCM -associated tumors., Competing Interests: Competing interestsC.I. reports consulting with AstraZeneca and Pfizer and her institution receives research support for Tesaro, AstraZeneca, and Pfizer. B.Y.K. served on Invitae Corporation’s Advisory Board from 2017 to 2018. K.P. reports receiving fee, paid to his institution, for lectures and/or participation in advisory board of AstraZeneca and Pfizer and travel support from AstraZeneca and Pfizer. Jordi Surrallés’ institution received research support from Rocket Pharmaceuticals. The remaining authors declare no competing interests., (© The Author(s) 2019.)
Published: 2019
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45. Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants.

Author: Evans DGR, Harkness EF, Brentnall AR, van Veen EM, Astley SM, Byers H, Sampson S, Southworth J, Stavrinos P, Howell SJ, Maxwell AJ, Howell A, Newman WG, and Cuzick J
Subjects: Aged, Breast Neoplasms epidemiology, Early Detection of Cancer, Female, Humans, Incidence, Middle Aged, Neoplasm Grading, Neoplasm Staging, Odds Ratio, Polymorphism, Single Nucleotide, Prognosis, Risk Assessment, Risk Factors, Biomarkers, Tumor, Breast Density, Breast Neoplasms diagnosis, Breast Neoplasms genetics, Genetic Variation, Mammography
Abstract: Purpose: To improve breast cancer risk stratification to enable more targeted early detection/prevention strategies that will better balance risks and benefits of population screening programmes., Methods: 9362 of 57,902 women in the Predicting-Risk-Of-Cancer-At-Screening (PROCAS) study who were unaffected by breast cancer at study entry and provided DNA for a polygenic risk score (PRS). The PRS was analysed alongside mammographic density (density-residual-DR) and standard risk factors (Tyrer-Cuzick-model) to assess future risk of breast cancer based on tumour stage receptor expression and pathology., Results: 195 prospective incident breast cancers had a prediction based on TC/DR/PRS which was informative for subsequent breast cancer overall [IQ-OR 2.25 (95% CI 1.89-2.68)] with excellent calibration-(0.99). The model performed particularly well in predicting higher stage stage 2+ IQ-OR 2.69 (95% CI 2.02-3.60) and ER + BCs (IQ-OR 2.36 (95% CI 1.93-2.89)). DR was most predictive for HER2+ and stage 2+ cancers but did not discriminate as well between poor and extremely good prognosis BC as either Tyrer-Cuzick or PRS. In contrast, PRS gave the highest OR for incident stage 2+ cancers, [IQR-OR 1.79 (95% CI 1.30-2.46)]., Conclusions: A combined approach using Tyrer-Cuzick/DR/PRS provides accurate risk stratification, particularly for poor prognosis cancers. This provides support for reducing the screening interval in high-risk women and increasing the screening interval in low-risk women defined by this model.
Published: 2019
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46. Anthropogenic remediation of heavy metals selects against natural microbial remediation.

Author: Hesse E, Padfield D, Bayer F, van Veen EM, Bryan CG, and Buckling A
Subjects: Biodegradation, Environmental, Calcium Compounds, Ecosystem, Humans, Metals, Heavy analysis, Metals, Heavy chemistry, Oxides, Siderophores, Soil Microbiology, Soil Pollutants analysis, Soil Pollutants chemistry, Environmental Restoration and Remediation methods, Metals, Heavy metabolism, Soil Pollutants metabolism
Abstract: In an era of unprecedented environmental change, there have been increasing ecological and global public health concerns associated with exposure to anthropogenic pollutants. While there is a pressing need to remediate polluted ecosystems, human intervention might unwittingly oppose selection for natural detoxification, which is primarily carried out by microbes. We test this possibility in the context of a ubiquitous chemical remediation strategy aimed at targeting metal pollution: the addition of lime-containing materials. Here, we show that raising pH by liming decreased the availability of toxic metals in acidic mine-degraded soils, but as a consequence selected against microbial taxa that naturally remediate soil through the production of metal-binding siderophores. Our results therefore highlight the crucial need to consider the eco-evolutionary consequences of human environmental strategies on microbial ecosystem services and other traits.
Published: 2019
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47. Genome-wide association study of germline variants and breast cancer-specific mortality.

Author: Escala-Garcia M, Guo Q, Dörk T, Canisius S, Keeman R, Dennis J, Beesley J, Lecarpentier J, Bolla MK, Wang Q, Abraham J, Andrulis IL, Anton-Culver H, Arndt V, Auer PL, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bernstein L, Blomqvist C, Boeckx B, Bojesen SE, Bonanni B, Børresen-Dale AL, Brauch H, Brenner H, Brentnall A, Brinton L, Broberg P, Brock IW, Brucker SY, Burwinkel B, Caldas C, Caldés T, Campa D, Canzian F, Carracedo A, Carter BD, Castelao JE, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Cheng TD, Chin SF, Clarke CL, Cordina-Duverger E, Couch FJ, Cox DG, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dunn JA, Dunning AM, Durcan L, Dwek M, Earl HM, Ekici AB, Eliassen AH, Ellberg C, Engel C, Eriksson M, Evans DG, Figueroa J, Flesch-Janys D, Flyger H, Gabrielson M, Gago-Dominguez M, Galle E, Gapstur SM, García-Closas M, García-Sáenz JA, Gaudet MM, George A, Georgoulias V, Giles GG, Glendon G, Goldgar DE, González-Neira A, Alnæs GIG, Grip M, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Hankinson S, Harkness EF, Harrington PA, Hart SN, Hartikainen JM, Hein A, Hillemanns P, Hiller L, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huang G, Humphreys K, Hunter DJ, Janni W, John EM, Jones ME, Jukkola-Vuorinen A, Jung A, Kaaks R, Kabisch M, Kaczmarek K, Kerin MJ, Khan S, Khusnutdinova E, Kiiski JI, Kitahara CM, Knight JA, Ko YD, Koppert LB, Kosma VM, Kraft P, Kristensen VN, Krüger U, Kühl T, Lambrechts D, Le Marchand L, Lee E, Lejbkowicz F, Li L, Lindblom A, Lindström S, Linet M, Lissowska J, Lo WY, Loibl S, Lubiński J, Lux MP, MacInnis RJ, Maierthaler M, Maishman T, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez ME, Mavroudis D, McLean C, Meindl A, Middha P, Miller N, Milne RL, Moreno F, Mulligan AM, Mulot C, Nassir R, Neuhausen SL, Newman WT, Nielsen SF, Nordestgaard BG, Norman A, Olsson H, Orr N, Pankratz VS, Park-Simon TW, Perez JIA, Pérez-Barrios C, Peterlongo P, Petridis C, Pinchev M, Prajzendanc K, Prentice R, Presneau N, Prokofieva D, Pylkäs K, Rack B, Radice P, Ramachandran D, Rennert G, Rennert HS, Rhenius V, Romero A, Roylance R, Saloustros E, Sawyer EJ, Schmidt DF, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schumacher F, Schwentner L, Scott RJ, Scott C, Seynaeve C, Shah M, Simard J, Smeets A, Sohn C, Southey MC, Swerdlow AJ, Talhouk A, Tamimi RM, Tapper WJ, Teixeira MR, Tengström M, Terry MB, Thöne K, Tollenaar RAEM, Tomlinson I, Torres D, Truong T, Turman C, Turnbull C, Ulmer HU, Untch M, Vachon C, van Asperen CJ, van den Ouweland AMW, van Veen EM, Wendt C, Whittemore AS, Willett W, Winqvist R, Wolk A, Yang XR, Zhang Y, Easton DF, Fasching PA, Nevanlinna H, Eccles DM, Pharoah PDP, and Schmidt MK
Subjects: Bayes Theorem, Breast Neoplasms metabolism, Chromosomes, Human, Pair 7, Female, Genetic Variation, Genome-Wide Association Study, Humans, Prognosis, Proportional Hazards Models, Receptors, Estrogen genetics, Receptors, Estrogen metabolism, White People genetics, Breast Neoplasms genetics, Breast Neoplasms mortality
Abstract: Background: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry., Methods: Meta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP)., Results: We did not find any variant associated with breast cancer-specific mortality at P < 5 × 10 -8 . For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 × 10 -7 , hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84-0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 × 10 -7 , HR = 1.27, 95% CI = 1.16-1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster., Conclusions: We uncovered germline variants on chromosome 7 at BFDP < 15% close to genes for which there is biological evidence related to breast cancer outcome. However, the paucity of variants associated with mortality at genome-wide significance underpins the challenge in providing genetic-based individualised prognostic information for breast cancer patients.
Published: 2019
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48. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.

Author: Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, Tyrer JP, Chen TH, Wang Q, Bolla MK, Yang X, Adank MA, Ahearn T, Aittomäki K, Allen J, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Auer PL, Auvinen P, Barrdahl M, Beane Freeman LE, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bernstein L, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Børresen-Dale AL, Brauch H, Bremer M, Brenner H, Brentnall A, Brock IW, Brooks-Wilson A, Brucker SY, Brüning T, Burwinkel B, Campa D, Carter BD, Castelao JE, Chanock SJ, Chlebowski R, Christiansen H, Clarke CL, Collée JM, Cordina-Duverger E, Cornelissen S, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dumont M, Durcan L, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Ellberg C, Engel C, Eriksson M, Evans DG, Fasching PA, Figueroa J, Fletcher O, Flyger H, Försti A, Fritschi L, Gabrielson M, Gago-Dominguez M, Gapstur SM, García-Sáenz JA, Gaudet MM, Georgoulias V, Giles GG, Gilyazova IR, Glendon G, Goldberg MS, Goldgar DE, González-Neira A, Grenaker Alnæs GI, Grip M, Gronwald J, Grundy A, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hankinson SE, Harkness EF, Hart SN, He W, Hein A, Heyworth J, Hillemanns P, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huang G, Humphreys K, Hunter DJ, Jakimovska M, Jakubowska A, Janni W, John EM, Johnson N, Jones ME, Jukkola-Vuorinen A, Jung A, Kaaks R, Kaczmarek K, Kataja V, Keeman R, Kerin MJ, Khusnutdinova E, Kiiski JI, Knight JA, Ko YD, Kosma VM, Koutros S, Kristensen VN, Krüger U, Kühl T, Lambrechts D, Le Marchand L, Lee E, Lejbkowicz F, Lilyquist J, Lindblom A, Lindström S, Lissowska J, Lo WY, Loibl S, Long J, Lubiński J, Lux MP, MacInnis RJ, Maishman T, Makalic E, Maleva Kostovska I, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Martinez ME, Mavroudis D, McLean C, Meindl A, Menon U, Middha P, Miller N, Moreno F, Mulligan AM, Mulot C, Muñoz-Garzon VM, Neuhausen SL, Nevanlinna H, Neven P, Newman WG, Nielsen SF, Nordestgaard BG, Norman A, Offit K, Olson JE, Olsson H, Orr N, Pankratz VS, Park-Simon TW, Perez JIA, Pérez-Barrios C, Peterlongo P, Peto J, Pinchev M, Plaseska-Karanfilska D, Polley EC, Prentice R, Presneau N, Prokofyeva D, Purrington K, Pylkäs K, Rack B, Radice P, Rau-Murthy R, Rennert G, Rennert HS, Rhenius V, Robson M, Romero A, Ruddy KJ, Ruebner M, Saloustros E, Sandler DP, Sawyer EJ, Schmidt DF, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schumacher F, Schürmann P, Schwentner L, Scott C, Scott RJ, Seynaeve C, Shah M, Sherman ME, Shrubsole MJ, Shu XO, Slager S, Smeets A, Sohn C, Soucy P, Southey MC, Spinelli JJ, Stegmaier C, Stone J, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Thöne K, Tollenaar RAEM, Tomlinson I, Truong T, Tzardi M, Ulmer HU, Untch M, Vachon CM, van Veen EM, Vijai J, Weinberg CR, Wendt C, Whittemore AS, Wildiers H, Willett W, Winqvist R, Wolk A, Yang XR, Yannoukakos D, Zhang Y, Zheng W, Ziogas A, Dunning AM, Thompson DJ, Chenevix-Trench G, Chang-Claude J, Schmidt MK, Hall P, Milne RL, Pharoah PDP, Antoniou AC, Chatterjee N, Kraft P, García-Closas M, Simard J, and Easton DF
Subjects: Adult, Age Factors, Aged, Aged, 80 and over, Breast Neoplasms diagnosis, Breast Neoplasms prevention & control, Female, Humans, Medical History Taking, Middle Aged, Polymorphism, Single Nucleotide genetics, Receptors, Estrogen metabolism, Reproducibility of Results, Risk Assessment, Breast Neoplasms classification, Breast Neoplasms genetics, Genetic Predisposition to Disease, Multifactorial Inheritance genetics
Abstract: Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs., (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2019
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49. A Dominantly Inherited 5' UTR Variant Causing Methylation-Associated Silencing of BRCA1 as a Cause of Breast and Ovarian Cancer.

Author: Evans DGR, van Veen EM, Byers HJ, Wallace AJ, Ellingford JM, Beaman G, Santoyo-Lopez J, Aitman TJ, Eccles DM, Lalloo FI, Smith MJ, and Newman WG
Subjects: Adult, Aged, Aged, 80 and over, BRCA2 Protein genetics, Epigenesis, Genetic genetics, Female, Genetic Predisposition to Disease genetics, Humans, Middle Aged, Promoter Regions, Genetic genetics, 5' Untranslated Regions genetics, BRCA1 Protein genetics, Breast Neoplasms genetics, DNA Methylation genetics, Germ-Line Mutation genetics, Ovarian Neoplasms genetics
Abstract: Pathogenic variants in BRCA1 or BRCA2 are identified in ∼20% of families with multiple individuals affected by early-onset breast and/or ovarian cancer. Extensive searches for additional highly penetrant genes or alternative mutational mechanisms altering BRCA1 or BRCA2 have not explained the missing heritability. Here, we report a dominantly inherited 5' UTR variant associated with epigenetic BRCA1 silencing due to promoter hypermethylation in two families affected by breast and ovarian cancer. BRCA1 promoter methylation of ten CpG dinucleotides in families who are affected by breast and/or ovarian cancer but do not have germline BRCA1 or BRCA2 pathogenic variants was assessed by pyrosequencing and clonal bisulfite sequencing. RNA and DNA sequencing of BRCA1 from lymphocytes was undertaken to establish allelic expression and the presence of germline variants. BRCA1 promoter hypermethylation was identified in 2 of 49 families in which multiple women are affected by grade 3 breast cancer or high-grade serous ovarian cancer. Soma-wide BRCA1 promoter hypermethylation was confirmed in blood, buccal mucosa, and hair follicles. Pyrosequencing showed that DNA was ∼50% methylated, consistent with the silencing of one allele, which was confirmed by clonal bisulfite sequencing. RNA sequencing revealed the allelic loss of BRCA1 expression in both families and that this loss of expression segregated with the heterozygous variant c.-107A>T in the BRCA1 5' UTR. Our results establish a mechanism whereby familial breast and ovarian cancer is caused by an in cis 5' UTR variant associated with epigenetic silencing of the BRCA1 promoter in two independent families. We propose that methylation analyses be undertaken to establish the frequency of this mechanism in families affected by early-onset breast and/or ovarian cancer without a BRCA1 or BRCA2 pathogenic variant., (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2018
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50. Transmission of molecularly undetectable circulating parasite clones leads to high infection complexity in mosquitoes post feeding.

Author: Grignard L, Gonçalves BP, Early AM, Daniels RF, Tiono AB, Guelbéogo WM, Ouédraogo A, van Veen EM, Lanke K, Diarra A, Nebie I, Sirima SB, Targett GA, Volkman SK, Neafsey DE, Wirth DF, Bousema T, and Drakeley C
Subjects: Animals, Burkina Faso epidemiology, Gambia epidemiology, Host-Parasite Interactions, Humans, Malaria, Falciparum epidemiology, Mosquito Vectors parasitology, Anopheles parasitology, Genotype, Malaria, Falciparum parasitology, Plasmodium falciparum genetics
Abstract: Plasmodium falciparum malaria infections often comprise multiple distinct parasite clones. Few datasets have directly assessed infection complexity in humans and mosquitoes they infect. Examining parasites using molecular tools may provide insights into the selective transmissibility of isolates. Using capillary electrophoresis genotyping and next generation amplicon sequencing, we analysed complexity of parasite infections in human blood and in the midguts of mosquitoes that became infected in membrane feeding experiments using the same blood material in two West African settings. Median numbers of clones in humans and mosquitoes were higher in samples from Burkina Faso (4.5, interquartile range 2-8 for humans; and 2, interquartile range 1-3 for mosquitoes) than in The Gambia (2, interquartile range 1-3 and 1, interquartile range 1-3, for humans and mosquitoes, respectively). Whilst the median number of clones was commonly higher in human blood samples, not all transmitted alleles were detectable in the human peripheral blood. In both study sample sets, additional parasite alleles were identified in mosquitoes compared with the matched human samples (10-88.9% of all clones/feeding assay, n = 73 feeding assays). The results are likely due to preferential amplification of the most abundant clones in peripheral blood but confirm the presence of low density clones that produce transmissible sexual stage parasites., (Copyright © 2018. Published by Elsevier Ltd.)
Published: 2018
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